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BOR + 08:28BOR + TIME: Precision 1-Minute Opening Range Analysis METHODOLOGY OVERVIEW This indicator implements a proprietary time-based trading methodology that combines opening range analysis with precision timing algorithms designed exclusively for 1-minute charts during the New York trading session. CORE ALGORITHM COMPONENTS 1. Bond Opening Range (BOR) Identification - Captures the complete price range during 08:00-09:00 NY time - Establishes the foundational trading range for the session - Uses high-precision minute-level data to define exact boundaries 2. Critical Time Level Analysis (08:28 Candle) - Identifies the 08:28-08:29 minute candle as a key reference point - This specific timing represents a critical juncture before market open - Captures the exact high/low range of this precise minute 3. Directional Bias Determination (09:00 Analysis) - At exactly 09:00, compares current price position relative to 08:28 boundaries - Above 08:28 High: Activates support-seeking mode (bullish bias) - Below 08:28 Low: Activates resistance-seeking mode (bearish bias) - Inside 08:28 Range: No directional bias established 4. Dynamic Standard Deviation Projections - Uses the 08:28 candle range as the mathematical basis for standard deviation calculations - Support Mode: Projects levels below 08:28 low using range multipliers (-1σ, -2σ, -3σ, -4σ) - Resistance Mode: Projects levels above 08:28 high using range multipliers (+1σ, +2σ, +3σ, +4σ) - Levels are active only during 09:00-10:30 trading window UNIQUE FEATURES Conditional Logic Engine - Real-time directional switching based on 09:00 price position - No static levels - everything adapts to intraday price action - Eliminates noise by focusing on specific time windows Precision Timing Requirements - Requires exact 1-minute timeframe for accurate calculations - Time-sensitive algorithm that relies on minute-by-minute analysis - Optimized for high-frequency intraday trading decisions Mathematical Framework - Standard deviations calculated using actual candle range data - Dynamic level spacing based on market volatility (08:28 range) - Four-tier projection system for multiple target/stop levels TRADING APPLICATION Best Used For: - ES, NQ, YM and other liquid index futures - Active day trading during NY session (07:00-12:00) - Scalping and short-term reversal strategies - Intraday support/resistance identification Signal Interpretation: - Red lines represent potential reversal zones - Direction determined by 09:00 vs 08:28 relationship - Multiple standard deviation levels provide layered entry/exit points - Time-restricted plotting ensures relevance during active trading hours IMPORTANT REQUIREMENTS - ONLY works on 1-minute charts - precision timing is essential - Designed for New York trading session (futures markets) - Most effective during high-volume trading periods CUSTOMIZATION OPTIONS - Toggle BOR box visibility and transparency - Enable/disable 08:28 candle highlighting - Adjust visual elements (colors, transparency) - Show/hide range information labels
Pine Script®指標
由The_PC_Trader提供
Top Crypto Above 28-Day AverageDescription The “Top Crypto Above 28-Day Average” (CRYPTOTW) script scans a selectable universe of up to 120 top-capitalization cryptocurrencies (divided into customizable 40-symbol batches), then plots the count of those trading above their own 28-period simple moving average. It helps you gauge broad market strength and identify which tokens are showing momentum relative to their recent trend. Key Features • Batch Selection: Choose among “Top40,” “Mid40,” or “Low40” market-cap groups, or set a custom batch size (up to 40 symbols) to keep within the API limit. • Dynamic Plot: Displays a live line chart of how many cryptos are above their 28-day MA on each bar. • Reference Lines: Automatic horizontal lines at 25%, 50%, and 75% of your batch to provide quick visual thresholds. • Background Coloration: The chart background shifts green/yellow/red based on whether more than 70%, 50–70%, or under 50% of the batch is above the MA. • Optional Table: On the final bar, show a sortable table of up to 28 tickers currently above their 28-day MA, including current price, percent above MA, and “Above” status color-coding. • Alerts: • Strong Batch Performance: Fires when >70% of the batch is above the MA. • Weak Batch Performance: Fires when <10 cryptos (i.e. <25%) are above the MA. Inputs • Show Results Table (show_table): Toggle the detailed table on/off. • Table Position (table_position): Select one of the four corners for your table overlay. • Max Cryptos to Display (max_display): Limit the number of rows in the results table. • Current Batch (current_batch): Pick “Top40,” “Mid40,” or “Low40.” • Batch Size (batch_size): Define the number of symbols (1–40) you want to include from the chosen batch. How to Use 1. Add the CRYPTOTW indicator to any chart. 2. Select your batch and size to focus on the segment of the crypto market you follow. 3. Watch the plotted line to see the proportion of tokens with bullish momentum. 4. (Optional) Enable the results table to see exactly which tokens are outperforming their 28-day average. 5. Set alerts to be notified when the batch either overheats (strong performance) or cools off significantly. Why It Matters By tracking the share of assets riding their 28-day trend, you gain a macro-level view of market breadth—crucial for spotting emerging rallies or early signs of broad weakness. Whether you’re swing-trading individual altcoins or assessing overall market mood, this tool distills complex data into an intuitive, actionable signal.
Pine Script®指標
由Tin2100提供
14/28 Day SMA Divergence and RSI - No RepaintIf you are interested in purchasing my algorithmic trading bot that receives Tradingview indicator alerts via email and then executes them in Bittrex, please visit my product page here: ilikestocks.com Additionally, I would love to create video/blog guides on creating Tradingview scripts or strategies. If you are a knowledgeable in finance or other related fields and would like to be featured on my page, please contact me at tanner@ilikestocks.com. No crossovers were used in this script, and this is likely the reason for the no repaint(Correct me if wrong). This strategy script uses a 14-day SMA signal line, a 28-day SMA and RSI. The strategy works by determining whether the (14-day SMA is above the 28-day SMA and the RSI levels are overbought(below 30)) or RSI is very overbought(below 13 or so). Once either of these conditions have been met, a long position is opened. The initial long position must be partially closed by the take profit first and then the final close is executed if the 14-day signal SMA is below the 28-day SMA; you may also exclusively use take profit to close positions. The green plotted spikes are the initial long position conditions. The orange plotted spikes are take profit signals once a long position is opened. The red plotted spikes are plotted when the SMA 14-day is below the 28-day SMA. Please do leave constructive criticism or comments below because it helps me better create scripts!
Pine Script®策略
由tanner314提供
18
PubLibCandleTrendLibrary "PubLibCandleTrend" candle trend, multi-part candle trend, multi-part green/red candle trend, double candle trend and multi-part double candle trend conditions for indicator and strategy development chh()   candle higher high condition   Returns: bool chl()   candle higher low condition   Returns: bool clh()   candle lower high condition   Returns: bool cll()   candle lower low condition   Returns: bool cdt()   candle double top condition   Returns: bool cdb()   candle double bottom condition   Returns: bool gc()   green candle condition   Returns: bool gchh()   green candle higher high condition   Returns: bool gchl()   green candle higher low condition   Returns: bool gclh()   green candle lower high condition   Returns: bool gcll()   green candle lower low condition   Returns: bool gcdt()   green candle double top condition   Returns: bool gcdb()   green candle double bottom condition   Returns: bool rc()   red candle condition   Returns: bool rchh()   red candle higher high condition   Returns: bool rchl()   red candle higher low condition   Returns: bool rclh()   red candle lower high condition   Returns: bool rcll()   red candle lower low condition   Returns: bool rcdt()   red candle double top condition   Returns: bool rcdb()   red candle double bottom condition   Returns: bool chh_1p()   1-part candle higher high condition   Returns: bool chh_2p()   2-part candle higher high condition   Returns: bool chh_3p()   3-part candle higher high condition   Returns: bool chh_4p()   4-part candle higher high condition   Returns: bool chh_5p()   5-part candle higher high condition   Returns: bool chh_6p()   6-part candle higher high condition   Returns: bool chh_7p()   7-part candle higher high condition   Returns: bool chh_8p()   8-part candle higher high condition   Returns: bool chh_9p()   9-part candle higher high condition   Returns: bool chh_10p()   10-part candle higher high condition   Returns: bool chh_11p()   11-part candle higher high condition   Returns: bool chh_12p()   12-part candle higher high condition   Returns: bool chh_13p()   13-part candle higher high condition   Returns: bool chh_14p()   14-part candle higher high condition   Returns: bool chh_15p()   15-part candle higher high condition   Returns: bool chh_16p()   16-part candle higher high condition   Returns: bool chh_17p()   17-part candle higher high condition   Returns: bool chh_18p()   18-part candle higher high condition   Returns: bool chh_19p()   19-part candle higher high condition   Returns: bool chh_20p()   20-part candle higher high condition   Returns: bool chh_21p()   21-part candle higher high condition   Returns: bool chh_22p()   22-part candle higher high condition   Returns: bool chh_23p()   23-part candle higher high condition   Returns: bool chh_24p()   24-part candle higher high condition   Returns: bool chh_25p()   25-part candle higher high condition   Returns: bool chh_26p()   26-part candle higher high condition   Returns: bool chh_27p()   27-part candle higher high condition   Returns: bool chh_28p()   28-part candle higher high condition   Returns: bool chh_29p()   29-part candle higher high condition   Returns: bool chh_30p()   30-part candle higher high condition   Returns: bool chl_1p()   1-part candle higher low condition   Returns: bool chl_2p()   2-part candle higher low condition   Returns: bool chl_3p()   3-part candle higher low condition   Returns: bool chl_4p()   4-part candle higher low condition   Returns: bool chl_5p()   5-part candle higher low condition   Returns: bool chl_6p()   6-part candle higher low condition   Returns: bool chl_7p()   7-part candle higher low condition   Returns: bool chl_8p()   8-part candle higher low condition   Returns: bool chl_9p()   9-part candle higher low condition   Returns: bool chl_10p()   10-part candle higher low condition   Returns: bool chl_11p()   11-part candle higher low condition   Returns: bool chl_12p()   12-part candle higher low condition   Returns: bool chl_13p()   13-part candle higher low condition   Returns: bool chl_14p()   14-part candle higher low condition   Returns: bool chl_15p()   15-part candle higher low condition   Returns: bool chl_16p()   16-part candle higher low condition   Returns: bool chl_17p()   17-part candle higher low condition   Returns: bool chl_18p()   18-part candle higher low condition   Returns: bool chl_19p()   19-part candle higher low condition   Returns: bool chl_20p()   20-part candle higher low condition   Returns: bool chl_21p()   21-part candle higher low condition   Returns: bool chl_22p()   22-part candle higher low condition   Returns: bool chl_23p()   23-part candle higher low condition   Returns: bool chl_24p()   24-part candle higher low condition   Returns: bool chl_25p()   25-part candle higher low condition   Returns: bool chl_26p()   26-part candle higher low condition   Returns: bool chl_27p()   27-part candle higher low condition   Returns: bool chl_28p()   28-part candle higher low condition   Returns: bool chl_29p()   29-part candle higher low condition   Returns: bool chl_30p()   30-part candle higher low condition   Returns: bool clh_1p()   1-part candle lower high condition   Returns: bool clh_2p()   2-part candle lower high condition   Returns: bool clh_3p()   3-part candle lower high condition   Returns: bool clh_4p()   4-part candle lower high condition   Returns: bool clh_5p()   5-part candle lower high condition   Returns: bool clh_6p()   6-part candle lower high condition   Returns: bool clh_7p()   7-part candle lower high condition   Returns: bool clh_8p()   8-part candle lower high condition   Returns: bool clh_9p()   9-part candle lower high condition   Returns: bool clh_10p()   10-part candle lower high condition   Returns: bool clh_11p()   11-part candle lower high condition   Returns: bool clh_12p()   12-part candle lower high condition   Returns: bool clh_13p()   13-part candle lower high condition   Returns: bool clh_14p()   14-part candle lower high condition   Returns: bool clh_15p()   15-part candle lower high condition   Returns: bool clh_16p()   16-part candle lower high condition   Returns: bool clh_17p()   17-part candle lower high condition   Returns: bool clh_18p()   18-part candle lower high condition   Returns: bool clh_19p()   19-part candle lower high condition   Returns: bool clh_20p()   20-part candle lower high condition   Returns: bool clh_21p()   21-part candle lower high condition   Returns: bool clh_22p()   22-part candle lower high condition   Returns: bool clh_23p()   23-part candle lower high condition   Returns: bool clh_24p()   24-part candle lower high condition   Returns: bool clh_25p()   25-part candle lower high condition   Returns: bool clh_26p()   26-part candle lower high condition   Returns: bool clh_27p()   27-part candle lower high condition   Returns: bool clh_28p()   28-part candle lower high condition   Returns: bool clh_29p()   29-part candle lower high condition   Returns: bool clh_30p()   30-part candle lower high condition   Returns: bool cll_1p()   1-part candle lower low condition   Returns: bool cll_2p()   2-part candle lower low condition   Returns: bool cll_3p()   3-part candle lower low condition   Returns: bool cll_4p()   4-part candle lower low condition   Returns: bool cll_5p()   5-part candle lower low condition   Returns: bool cll_6p()   6-part candle lower low condition   Returns: bool cll_7p()   7-part candle lower low condition   Returns: bool cll_8p()   8-part candle lower low condition   Returns: bool cll_9p()   9-part candle lower low condition   Returns: bool cll_10p()   10-part candle lower low condition   Returns: bool cll_11p()   11-part candle lower low condition   Returns: bool cll_12p()   12-part candle lower low condition   Returns: bool cll_13p()   13-part candle lower low condition   Returns: bool cll_14p()   14-part candle lower low condition   Returns: bool cll_15p()   15-part candle lower low condition   Returns: bool cll_16p()   16-part candle lower low condition   Returns: bool cll_17p()   17-part candle lower low condition   Returns: bool cll_18p()   18-part candle lower low condition   Returns: bool cll_19p()   19-part candle lower low condition   Returns: bool cll_20p()   20-part candle lower low condition   Returns: bool cll_21p()   21-part candle lower low condition   Returns: bool cll_22p()   22-part candle lower low condition   Returns: bool cll_23p()   23-part candle lower low condition   Returns: bool cll_24p()   24-part candle lower low condition   Returns: bool cll_25p()   25-part candle lower low condition   Returns: bool cll_26p()   26-part candle lower low condition   Returns: bool cll_27p()   27-part candle lower low condition   Returns: bool cll_28p()   28-part candle lower low condition   Returns: bool cll_29p()   29-part candle lower low condition   Returns: bool cll_30p()   30-part candle lower low condition   Returns: bool gc_1p()   1-part green candle condition   Returns: bool gc_2p()   2-part green candle condition   Returns: bool gc_3p()   3-part green candle condition   Returns: bool gc_4p()   4-part green candle condition   Returns: bool gc_5p()   5-part green candle condition   Returns: bool gc_6p()   6-part green candle condition   Returns: bool gc_7p()   7-part green candle condition   Returns: bool gc_8p()   8-part green candle condition   Returns: bool gc_9p()   9-part green candle condition   Returns: bool gc_10p()   10-part green candle condition   Returns: bool gc_11p()   11-part green candle condition   Returns: bool gc_12p()   12-part green candle condition   Returns: bool gc_13p()   13-part green candle condition   Returns: bool gc_14p()   14-part green candle condition   Returns: bool gc_15p()   15-part green candle condition   Returns: bool gc_16p()   16-part green candle condition   Returns: bool gc_17p()   17-part green candle condition   Returns: bool gc_18p()   18-part green candle condition   Returns: bool gc_19p()   19-part green candle condition   Returns: bool gc_20p()   20-part green candle condition   Returns: bool gc_21p()   21-part green candle condition   Returns: bool gc_22p()   22-part green candle condition   Returns: bool gc_23p()   23-part green candle condition   Returns: bool gc_24p()   24-part green candle condition   Returns: bool gc_25p()   25-part green candle condition   Returns: bool gc_26p()   26-part green candle condition   Returns: bool gc_27p()   27-part green candle condition   Returns: bool gc_28p()   28-part green candle condition   Returns: bool gc_29p()   29-part green candle condition   Returns: bool gc_30p()   30-part green candle condition   Returns: bool rc_1p()   1-part red candle condition   Returns: bool rc_2p()   2-part red candle condition   Returns: bool rc_3p()   3-part red candle condition   Returns: bool rc_4p()   4-part red candle condition   Returns: bool rc_5p()   5-part red candle condition   Returns: bool rc_6p()   6-part red candle condition   Returns: bool rc_7p()   7-part red candle condition   Returns: bool rc_8p()   8-part red candle condition   Returns: bool rc_9p()   9-part red candle condition   Returns: bool rc_10p()   10-part red candle condition   Returns: bool rc_11p()   11-part red candle condition   Returns: bool rc_12p()   12-part red candle condition   Returns: bool rc_13p()   13-part red candle condition   Returns: bool rc_14p()   14-part red candle condition   Returns: bool rc_15p()   15-part red candle condition   Returns: bool rc_16p()   16-part red candle condition   Returns: bool rc_17p()   17-part red candle condition   Returns: bool rc_18p()   18-part red candle condition   Returns: bool rc_19p()   19-part red candle condition   Returns: bool rc_20p()   20-part red candle condition   Returns: bool rc_21p()   21-part red candle condition   Returns: bool rc_22p()   22-part red candle condition   Returns: bool rc_23p()   23-part red candle condition   Returns: bool rc_24p()   24-part red candle condition   Returns: bool rc_25p()   25-part red candle condition   Returns: bool rc_26p()   26-part red candle condition   Returns: bool rc_27p()   27-part red candle condition   Returns: bool rc_28p()   28-part red candle condition   Returns: bool rc_29p()   29-part red candle condition   Returns: bool rc_30p()   30-part red candle condition   Returns: bool cdut()   candle double uptrend condition   Returns: bool cddt()   candle double downtrend condition   Returns: bool cdut_1p()   1-part candle double uptrend condition   Returns: bool cdut_2p()   2-part candle double uptrend condition   Returns: bool cdut_3p()   3-part candle double uptrend condition   Returns: bool cdut_4p()   4-part candle double uptrend condition   Returns: bool cdut_5p()   5-part candle double uptrend condition   Returns: bool cdut_6p()   6-part candle double uptrend condition   Returns: bool cdut_7p()   7-part candle double uptrend condition   Returns: bool cdut_8p()   8-part candle double uptrend condition   Returns: bool cdut_9p()   9-part candle double uptrend condition   Returns: bool cdut_10p()   10-part candle double uptrend condition   Returns: bool cdut_11p()   11-part candle double uptrend condition   Returns: bool cdut_12p()   12-part candle double uptrend condition   Returns: bool cdut_13p()   13-part candle double uptrend condition   Returns: bool cdut_14p()   14-part candle double uptrend condition   Returns: bool cdut_15p()   15-part candle double uptrend condition   Returns: bool cdut_16p()   16-part candle double uptrend condition   Returns: bool cdut_17p()   17-part candle double uptrend condition   Returns: bool cdut_18p()   18-part candle double uptrend condition   Returns: bool cdut_19p()   19-part candle double uptrend condition   Returns: bool cdut_20p()   20-part candle double uptrend condition   Returns: bool cdut_21p()   21-part candle double uptrend condition   Returns: bool cdut_22p()   22-part candle double uptrend condition   Returns: bool cdut_23p()   23-part candle double uptrend condition   Returns: bool cdut_24p()   24-part candle double uptrend condition   Returns: bool cdut_25p()   25-part candle double uptrend condition   Returns: bool cdut_26p()   26-part candle double uptrend condition   Returns: bool cdut_27p()   27-part candle double uptrend condition   Returns: bool cdut_28p()   28-part candle double uptrend condition   Returns: bool cdut_29p()   29-part candle double uptrend condition   Returns: bool cdut_30p()   30-part candle double uptrend condition   Returns: bool cddt_1p()   1-part candle double downtrend condition   Returns: bool cddt_2p()   2-part candle double downtrend condition   Returns: bool cddt_3p()   3-part candle double downtrend condition   Returns: bool cddt_4p()   4-part candle double downtrend condition   Returns: bool cddt_5p()   5-part candle double downtrend condition   Returns: bool cddt_6p()   6-part candle double downtrend condition   Returns: bool cddt_7p()   7-part candle double downtrend condition   Returns: bool cddt_8p()   8-part candle double downtrend condition   Returns: bool cddt_9p()   9-part candle double downtrend condition   Returns: bool cddt_10p()   10-part candle double downtrend condition   Returns: bool cddt_11p()   11-part candle double downtrend condition   Returns: bool cddt_12p()   12-part candle double downtrend condition   Returns: bool cddt_13p()   13-part candle double downtrend condition   Returns: bool cddt_14p()   14-part candle double downtrend condition   Returns: bool cddt_15p()   15-part candle double downtrend condition   Returns: bool cddt_16p()   16-part candle double downtrend condition   Returns: bool cddt_17p()   17-part candle double downtrend condition   Returns: bool cddt_18p()   18-part candle double downtrend condition   Returns: bool cddt_19p()   19-part candle double downtrend condition   Returns: bool cddt_20p()   20-part candle double downtrend condition   Returns: bool cddt_21p()   21-part candle double downtrend condition   Returns: bool cddt_22p()   22-part candle double downtrend condition   Returns: bool cddt_23p()   23-part candle double downtrend condition   Returns: bool cddt_24p()   24-part candle double downtrend condition   Returns: bool cddt_25p()   25-part candle double downtrend condition   Returns: bool cddt_26p()   26-part candle double downtrend condition   Returns: bool cddt_27p()   27-part candle double downtrend condition   Returns: bool cddt_28p()   28-part candle double downtrend condition   Returns: bool cddt_29p()   29-part candle double downtrend condition   Returns: bool cddt_30p()   30-part candle double downtrend condition   Returns: bool
Pine Script®腳本庫
由theEccentricTrader提供
2
Active Addresses Z-ScoreActive Addresses Z-Score Indicator The Active Addresses Z-Score Indicator is a fundamental analysis tool designed to evaluate the relationship between Bitcoin network activity and its price movements over a specified period. This indicator aims to provide insights into whether the market is showing signs of increasing or decreasing interest in Bitcoin, based on its network usage and activity. How to Read the Indicator Orange Line (Price Z-Score): This line represents the Z-Score of the price change over a defined period (e.g., 28 days). The Z-Score normalizes the price change by comparing it to the historical mean and standard deviation, essentially measuring how far the current price change is from the average. A positive Z-Score indicates that the price change is above the historical average (a bullish signal), while a negative Z-Score means the price change is below the historical average (a bearish signal). Gray Line (Active Addresses Z-Score): This line represents the Z-Score of the change in active addresses over the same period. The Z-Score here normalizes the change in the number of active Bitcoin addresses by comparing it to historical data. A positive Z-Score suggests that the number of active addresses is increasing more than usual, which can be a sign of increased market activity and potential interest in Bitcoin. A negative Z-Score suggests that active addresses are decreasing more than usual, which may indicate reduced interest or usage of Bitcoin. Upper and Lower Threshold Lines: The upper and lower threshold lines (set by the user) act as Z-Score boundaries. If either the price Z-Score or the active address Z-Score exceeds the upper threshold, it can signal an overbought or overactive condition. Similarly, if the Z-Score falls below the lower threshold, it could indicate an oversold or underactive condition. These thresholds are customizable by the user, allowing for flexible interpretation based on market conditions. Indicator Calculation Price Change Calculation: The percentage change in the Bitcoin price over a specified lookback period (e.g., 28 days) is calculated as: Price Change = Close − Close Close Price Change= Close Close−Close ​ This shows the relative price movement during the specified period. Active Address Change Calculation: Similarly, the percentage change in active addresses is calculated as: Active Address Change = Active Addresses − Active Addresses Active Addresses Active Address Change= Active Addresses Active Addresses−Active Addresses ​ This shows the relative change in the number of active Bitcoin addresses over the same period. Z-Score Calculation: The Z-Score for both the price and active address changes is calculated as: 𝑍 = X − 𝜇 𝜎 Z= σ X−μ ​ Where: X is the current change (price or active addresses), μ (mu) is the mean (average) of the historical data over the lookback period, σ (sigma) is the standard deviation of the historical data. This Z-Score tells you how far the current value deviates from its historical average, normalized by the volatility (standard deviation). Smoothing (Optional): A simple moving average (SMA) is applied to smooth out the Z-Score values to reduce noise and provide a clearer trend. What the Indicator Does Signals of Bullish or Bearish Market Behavior: The Z-Score of Price tells you how strong or weak the price movement is relative to its past performance. The Z-Score of Active Addresses reveals whether more users are interacting with the Bitcoin network, which can be an indication of growing interest or market activity. When both the price and active address Z-Scores are high, it may indicate a strong bull market, while low Z-Scores may point to a bear market or decreasing interest. Overbought/Oversold Conditions: The upper and lower threshold lines help you visualize when the Z-Scores for either price or active addresses have reached extreme values, signaling potential overbought or oversold conditions. For example, if the Price Z-Score exceeds the upper threshold (e.g., +2), it might indicate that the price has risen too quickly, and a correction may be due. Conversely, if it falls below the lower threshold (e.g., -2), it may indicate a potential buying opportunity. Important Note on Activity and Price Movements: After Rapid Price Increases: A sharp increase in Bitcoin’s price followed by a spike in active addresses can be interpreted as a bearish signal. High network activity after a rapid price surge might indicate that investors are taking profits or that speculative interest is peaking, potentially signaling an upcoming correction or reversal. After Extreme Price Declines: Conversely, high network activity after a significant price drop may indicate a bottoming signal. A surge in active addresses during a price decline could suggest increased buying interest and potential accumulation, signaling that the market may be finding support and a reversal may be imminent. Customization and Flexibility The lookback period (default: 28 days) can be adjusted to suit different trading strategies or time horizons. The smoothing length (default: 7 periods) allows for smoothing the Z-Score, making it easier to detect longer-term trends and reduce noise. The upper and lower threshold values are fully customizable to adjust the indicator’s sensitivity to market conditions. Conclusion The Active Addresses Z-Score Indicator combines network activity with price data to give you a deeper understanding of the Bitcoin market. By analyzing the relationship between price changes and active address changes, this indicator helps you assess whether the market is experiencing unusual activity or if Bitcoin is trending in an extreme overbought or oversold condition. It is a powerful tool for fundamental analysis and can complement traditional technical indicators for a more comprehensive trading strategy.
Pine Script®指標
由simonweisser_business提供
PubLibTrendLibrary "PubLibTrend" trend, multi-part trend, double trend and multi-part double trend conditions for indicator and strategy development rlut()   return line uptrend condition   Returns: bool dt()   downtrend condition   Returns: bool ut()   uptrend condition   Returns: bool rldt()   return line downtrend condition   Returns: bool dtop()   double top condition   Returns: bool dbot()   double bottom condition   Returns: bool rlut_1p()   1-part return line uptrend condition   Returns: bool rlut_2p()   2-part return line uptrend condition   Returns: bool rlut_3p()   3-part return line uptrend condition   Returns: bool rlut_4p()   4-part return line uptrend condition   Returns: bool rlut_5p()   5-part return line uptrend condition   Returns: bool rlut_6p()   6-part return line uptrend condition   Returns: bool rlut_7p()   7-part return line uptrend condition   Returns: bool rlut_8p()   8-part return line uptrend condition   Returns: bool rlut_9p()   9-part return line uptrend condition   Returns: bool rlut_10p()   10-part return line uptrend condition   Returns: bool rlut_11p()   11-part return line uptrend condition   Returns: bool rlut_12p()   12-part return line uptrend condition   Returns: bool rlut_13p()   13-part return line uptrend condition   Returns: bool rlut_14p()   14-part return line uptrend condition   Returns: bool rlut_15p()   15-part return line uptrend condition   Returns: bool rlut_16p()   16-part return line uptrend condition   Returns: bool rlut_17p()   17-part return line uptrend condition   Returns: bool rlut_18p()   18-part return line uptrend condition   Returns: bool rlut_19p()   19-part return line uptrend condition   Returns: bool rlut_20p()   20-part return line uptrend condition   Returns: bool rlut_21p()   21-part return line uptrend condition   Returns: bool rlut_22p()   22-part return line uptrend condition   Returns: bool rlut_23p()   23-part return line uptrend condition   Returns: bool rlut_24p()   24-part return line uptrend condition   Returns: bool rlut_25p()   25-part return line uptrend condition   Returns: bool rlut_26p()   26-part return line uptrend condition   Returns: bool rlut_27p()   27-part return line uptrend condition   Returns: bool rlut_28p()   28-part return line uptrend condition   Returns: bool rlut_29p()   29-part return line uptrend condition   Returns: bool rlut_30p()   30-part return line uptrend condition   Returns: bool dt_1p()   1-part downtrend condition   Returns: bool dt_2p()   2-part downtrend condition   Returns: bool dt_3p()   3-part downtrend condition   Returns: bool dt_4p()   4-part downtrend condition   Returns: bool dt_5p()   5-part downtrend condition   Returns: bool dt_6p()   6-part downtrend condition   Returns: bool dt_7p()   7-part downtrend condition   Returns: bool dt_8p()   8-part downtrend condition   Returns: bool dt_9p()   9-part downtrend condition   Returns: bool dt_10p()   10-part downtrend condition   Returns: bool dt_11p()   11-part downtrend condition   Returns: bool dt_12p()   12-part downtrend condition   Returns: bool dt_13p()   13-part downtrend condition   Returns: bool dt_14p()   14-part downtrend condition   Returns: bool dt_15p()   15-part downtrend condition   Returns: bool dt_16p()   16-part downtrend condition   Returns: bool dt_17p()   17-part downtrend condition   Returns: bool dt_18p()   18-part downtrend condition   Returns: bool dt_19p()   19-part downtrend condition   Returns: bool dt_20p()   20-part downtrend condition   Returns: bool dt_21p()   21-part downtrend condition   Returns: bool dt_22p()   22-part downtrend condition   Returns: bool dt_23p()   23-part downtrend condition   Returns: bool dt_24p()   24-part downtrend condition   Returns: bool dt_25p()   25-part downtrend condition   Returns: bool dt_26p()   26-part downtrend condition   Returns: bool dt_27p()   27-part downtrend condition   Returns: bool dt_28p()   28-part downtrend condition   Returns: bool dt_29p()   29-part downtrend condition   Returns: bool dt_30p()   30-part downtrend condition   Returns: bool ut_1p()   1-part uptrend condition   Returns: bool ut_2p()   2-part uptrend condition   Returns: bool ut_3p()   3-part uptrend condition   Returns: bool ut_4p()   4-part uptrend condition   Returns: bool ut_5p()   5-part uptrend condition   Returns: bool ut_6p()   6-part uptrend condition   Returns: bool ut_7p()   7-part uptrend condition   Returns: bool ut_8p()   8-part uptrend condition   Returns: bool ut_9p()   9-part uptrend condition   Returns: bool ut_10p()   10-part uptrend condition   Returns: bool ut_11p()   11-part uptrend condition   Returns: bool ut_12p()   12-part uptrend condition   Returns: bool ut_13p()   13-part uptrend condition   Returns: bool ut_14p()   14-part uptrend condition   Returns: bool ut_15p()   15-part uptrend condition   Returns: bool ut_16p()   16-part uptrend condition   Returns: bool ut_17p()   17-part uptrend condition   Returns: bool ut_18p()   18-part uptrend condition   Returns: bool ut_19p()   19-part uptrend condition   Returns: bool ut_20p()   20-part uptrend condition   Returns: bool ut_21p()   21-part uptrend condition   Returns: bool ut_22p()   22-part uptrend condition   Returns: bool ut_23p()   23-part uptrend condition   Returns: bool ut_24p()   24-part uptrend condition   Returns: bool ut_25p()   25-part uptrend condition   Returns: bool ut_26p()   26-part uptrend condition   Returns: bool ut_27p()   27-part uptrend condition   Returns: bool ut_28p()   28-part uptrend condition   Returns: bool ut_29p()   29-part uptrend condition   Returns: bool ut_30p()   30-part uptrend condition   Returns: bool rldt_1p()   1-part return line downtrend condition   Returns: bool rldt_2p()   2-part return line downtrend condition   Returns: bool rldt_3p()   3-part return line downtrend condition   Returns: bool rldt_4p()   4-part return line downtrend condition   Returns: bool rldt_5p()   5-part return line downtrend condition   Returns: bool rldt_6p()   6-part return line downtrend condition   Returns: bool rldt_7p()   7-part return line downtrend condition   Returns: bool rldt_8p()   8-part return line downtrend condition   Returns: bool rldt_9p()   9-part return line downtrend condition   Returns: bool rldt_10p()   10-part return line downtrend condition   Returns: bool rldt_11p()   11-part return line downtrend condition   Returns: bool rldt_12p()   12-part return line downtrend condition   Returns: bool rldt_13p()   13-part return line downtrend condition   Returns: bool rldt_14p()   14-part return line downtrend condition   Returns: bool rldt_15p()   15-part return line downtrend condition   Returns: bool rldt_16p()   16-part return line downtrend condition   Returns: bool rldt_17p()   17-part return line downtrend condition   Returns: bool rldt_18p()   18-part return line downtrend condition   Returns: bool rldt_19p()   19-part return line downtrend condition   Returns: bool rldt_20p()   20-part return line downtrend condition   Returns: bool rldt_21p()   21-part return line downtrend condition   Returns: bool rldt_22p()   22-part return line downtrend condition   Returns: bool rldt_23p()   23-part return line downtrend condition   Returns: bool rldt_24p()   24-part return line downtrend condition   Returns: bool rldt_25p()   25-part return line downtrend condition   Returns: bool rldt_26p()   26-part return line downtrend condition   Returns: bool rldt_27p()   27-part return line downtrend condition   Returns: bool rldt_28p()   28-part return line downtrend condition   Returns: bool rldt_29p()   29-part return line downtrend condition   Returns: bool rldt_30p()   30-part return line downtrend condition   Returns: bool dut()   double uptrend condition   Returns: bool ddt()   double downtrend condition   Returns: bool dut_1p()   1-part double uptrend condition   Returns: bool dut_2p()   2-part double uptrend condition   Returns: bool dut_3p()   3-part double uptrend condition   Returns: bool dut_4p()   4-part double uptrend condition   Returns: bool dut_5p()   5-part double uptrend condition   Returns: bool dut_6p()   6-part double uptrend condition   Returns: bool dut_7p()   7-part double uptrend condition   Returns: bool dut_8p()   8-part double uptrend condition   Returns: bool dut_9p()   9-part double uptrend condition   Returns: bool dut_10p()   10-part double uptrend condition   Returns: bool dut_11p()   11-part double uptrend condition   Returns: bool dut_12p()   12-part double uptrend condition   Returns: bool dut_13p()   13-part double uptrend condition   Returns: bool dut_14p()   14-part double uptrend condition   Returns: bool dut_15p()   15-part double uptrend condition   Returns: bool dut_16p()   16-part double uptrend condition   Returns: bool dut_17p()   17-part double uptrend condition   Returns: bool dut_18p()   18-part double uptrend condition   Returns: bool dut_19p()   19-part double uptrend condition   Returns: bool dut_20p()   20-part double uptrend condition   Returns: bool dut_21p()   21-part double uptrend condition   Returns: bool dut_22p()   22-part double uptrend condition   Returns: bool dut_23p()   23-part double uptrend condition   Returns: bool dut_24p()   24-part double uptrend condition   Returns: bool dut_25p()   25-part double uptrend condition   Returns: bool dut_26p()   26-part double uptrend condition   Returns: bool dut_27p()   27-part double uptrend condition   Returns: bool dut_28p()   28-part double uptrend condition   Returns: bool dut_29p()   29-part double uptrend condition   Returns: bool dut_30p()   30-part double uptrend condition   Returns: bool ddt_1p()   1-part double downtrend condition   Returns: bool ddt_2p()   2-part double downtrend condition   Returns: bool ddt_3p()   3-part double downtrend condition   Returns: bool ddt_4p()   4-part double downtrend condition   Returns: bool ddt_5p()   5-part double downtrend condition   Returns: bool ddt_6p()   6-part double downtrend condition   Returns: bool ddt_7p()   7-part double downtrend condition   Returns: bool ddt_8p()   8-part double downtrend condition   Returns: bool ddt_9p()   9-part double downtrend condition   Returns: bool ddt_10p()   10-part double downtrend condition   Returns: bool ddt_11p()   11-part double downtrend condition   Returns: bool ddt_12p()   12-part double downtrend condition   Returns: bool ddt_13p()   13-part double downtrend condition   Returns: bool ddt_14p()   14-part double downtrend condition   Returns: bool ddt_15p()   15-part double downtrend condition   Returns: bool ddt_16p()   16-part double downtrend condition   Returns: bool ddt_17p()   17-part double downtrend condition   Returns: bool ddt_18p()   18-part double downtrend condition   Returns: bool ddt_19p()   19-part double downtrend condition   Returns: bool ddt_20p()   20-part double downtrend condition   Returns: bool ddt_21p()   21-part double downtrend condition   Returns: bool ddt_22p()   22-part double downtrend condition   Returns: bool ddt_23p()   23-part double downtrend condition   Returns: bool ddt_24p()   24-part double downtrend condition   Returns: bool ddt_25p()   25-part double downtrend condition   Returns: bool ddt_26p()   26-part double downtrend condition   Returns: bool ddt_27p()   27-part double downtrend condition   Returns: bool ddt_28p()   28-part double downtrend condition   Returns: bool ddt_29p()   29-part double downtrend condition   Returns: bool ddt_30p()   30-part double downtrend condition   Returns: bool
Pine Script®腳本庫
由theEccentricTrader提供
2
Active AddressesIndicator Overview By comparing the 28 day change in price (%) with the 28 day change in active addresses (%) for Bitcoin we are able to create a short-term sentiment indicator called AASI (Active Address Sentiment Indicator). Grey lines on the chart show the change in active addresses. On the outer boundaries of those grey lines are standard deviation bands. Dotted red line = upper boundary Dotted green line = lower boundary Orange line is the 28 day price change (%). When the orange line reaches the upper boundary (red dotted line) it is indicating that short term market sentiment is overheated. Because the rate of increase in price is outstripping the rate of increase in active addresses. Zooming in on the chart (left click and drag) we can see that this often corresponds with CRYPTOCAP:BTC price (blue line) stalling and/or retracing. The opposite is true when the 28 day price change hits the lower boundary (green dotted line). Here market sentiment is overly bearish and we often see CRYPTOCAP:BTC price then increasing thereafter. In extreme market conditions the 28 day price change (orange line) aggressively breaks out beyond the dotted red and green bands. This is typically in a major market crash or in the latter stages of a bull market. I may add additional standard deviation bands to catch these moves but for now have left them off to keep the chart clean. Pre 2015 data is quite volatile and messy so this charts starts at 01 January 2015. Bitcoin Price Prediction Using This Tool Unlike many of the other Bitcoin live charts, this live chart examines lower time frames and attempts to provide a Bitcoin price prediction in terms of directional moves on weekly timeframes. So it tries to do a Bitcoin price forecast by highlighting where price may pullback or where it may bounce using price and active address data.
Pine Script®指標
由VanHe1sing提供
2
Multi SMA EMA WMA HMA BB (5x8 MAs Bollinger Bands) MAX MTF - RRBMulti SMA EMA WMA HMA 4x7 Moving Averages with Bollinger Bands MAX MTF by RagingRocketBull 2019 Version 1.0 All available MAX MTF versions are listed below (They are very similar and I don't want to publish them as separate indicators): ver 1.0: 4x7 = 28 MTF MAs + 28 Levels + 3 BB = 59 < 64 ver 2.0: 5x6 = 30 MTF MAs + 30 Levels + 3 BB = 63 < 64 ver 3.0: 3x10 = 30 MTF MAs + 30 Levels + 3 BB = 63 < 64 ver 4.0: 5(4+1)x8 = 8 CurTF MAs + 32 MTF MAs + 20 Levels + 3 BB = 63 < 64 ver 5.0: 6(5+1)x6 = 6 CurTF MAs + 30 MTF MAs + 24 Levels + 3 BB = 63 < 64 ver 6.0: 4(3+1)x10 = 10 CurTF MAs + 30 MTF MAs + 20 Levels + 3 BB = 63 < 64 Fib numbers: 8, 13, 21, 34, 55, 89, 144, 233, 377 This indicator shows multiple MAs of any type SMA EMA WMA HMA etc with BB and MTF support, can show MAs as dynamically moving levels. There are 4 MA groups + 1 BB group, a total of 4 TFs * 7 MAs = 28 MAs. You can assign any type/timeframe combo to a group, for example: - EMAs 9,12,26,50,100,200,400 x H1, H4, D1, W1 (4 TFs x 7 MAs x 1 type) - EMAs 8,13,21,30,34,50,55,89,100,144,200,233,377,400 x M15, H1 (2 TFs x 14 MAs x 1 type) - D1 EMAs and SMAs 8,13,21,30,34,50,55,89,100,144,200,233,377,400 (1 TF x 14 MAs x 2 types) - H1 WMAs 13,21,34,55,89,144,233; H4 HMAs 9,12,26,50,100,200,400; D1 EMAs 12,26,89,144,169,233,377; W1 SMAs 9,12,26,50,100,200,400 (4 TFs x 7 MAs x 4 types) - +1 extra MA type/timeframe for BB There are several versions: Simple, MTF, Pro MTF, Advanced MTF, MAX MTF and Ultimate MTF. This is the MAX MTF version. The Differences are listed below. All versions have BB - Simple: you have 2 groups of MAs that can be assigned any type (5+5) - MTF: +2 custom Timeframes for each group (2x5 MTF) +1 TF for BB, TF XY smoothing - Pro MTF: 4 custom Timeframes for each group (4x3 MTF), 1 TF for BB, MA levels and show max bars back options - Advanced MTF: +4 extra MAs/group (4x7 MTF), custom Ticker/Symbols, Timeframe <>= filter, Remove Duplicates Option - MAX MTF: +2 subtypes/group, packed to the limit with max possible MAs/TFs: 4x7, 5x6, 3x10, 4(3+1)x10, 5(4+1)x8, 6(5+1)x6 - Ultimate MTF: +individual settings for each MA, custom Ticker/Symbols MAX MTF version tests the limits of Pinescript trying to squeeze as many MAs/TFs as possible into a single indicator. It's basically a maxed out Advanced version with subtypes allowing for mixed types within a group (i.e. both emas and smas in a single group/TF) Pinescript has the following limits: - max 40 security calls (6 calls are reserved for dupe checks and smoothing, 2 are used for BB, so only 32 calls are available) - max 64 plot outputs (BB uses 3 outputs, so only 61 plot outputs are available) - max 50000 (50kb) size of the compiled code Based on those limits, you can only have the following MAs/TFs combos in a single script: 1. 4x7, 5x6, 3x10 - total number of MTF MAs must always be <= 32, and you can still have BB and Num Levels = total MAs, without any compromises 2. 5(4+1)x8, 6(5+1)x6, 4(3+1)x10 - you can use the Current Symbol/Timeframe as an extra (+1) fixed TF with the same number of MTF MAs - you don't need to call security to display MAs on the Current Symbol/Timeframe, so the total number of MTF MAs remains the same and is still <= 32 - to fit that many MAs into the max 64 plot outputs limit you need to reduce the number of levels (not every MA Group will have corresponding levels) Features: - 4x7 = 28 MAs of any type - 4x MTF groups with XY step line smoothing - +1 extra TF/type for BB MAs - 2 MA subtypes within each group/TF - 4x7 = 28 MA levels with adjustable group offsets, indents and shift - supports any existing type of MA: SMA, EMA, WMA, Hull Moving Average (HMA) - custom tickers/symbols for each group - show max bars back option - show/hide both groups of MAs/levels/BB and individual MAs - timeframe filter: show only MAs/Levels with TFs <>= Current TF - hide MAs/Levels with duplicate TFs - support for custom TFs that are not available in free accounts: 2D, 3D etc - support for timeframes in H: H, 2H, 4H etc Notes: - Uses timeframe textbox instead of input resolution dropdown to allow for 240 120 and other custom TFs - Uses symbol textbox instead of input symbol to avoid establishing multiple dummy security connections to the current ticker - otherwise empty symbols will prevent script from running - Possible reasons for missing MAs on a chart: - there may not be enough bars in history to start plotting it. For example, W1 EMA200 needs at least 200 bars on a weekly chart. - for charts with low/fractional prices i.e. 0.00002 << 0.001 (default Y smoothing step) decrease Y smoothing as needed (set Y = 0.0000001) or disable it completely (set X,Y to 0,0) - for charts with high price values i.e. 20000 >> 0.001 increase Y smoothing as needed (set Y = 10-20). Higher values exceeding MAs point density will cause it to disappear as there will be no points to plot. Different TFs may require diff adjustments - TradingView Replay Mode UI and Pinescript security calls are limited to TFs >= D (D,2D,W,MN...) for free accounts - attempting to plot any TF < D1 in Replay Mode will only result in straight lines, but all TFs will work properly in history and real-time modes. This is not a bug. - Max Bars Back (num_bars) is limited to 5000 for free accounts (10000 for paid), will show error when exceeded. To plot on all available history set to 0 (default) - Slow load/redraw times. This indicator becomes slower, its UI less responsive when: - Pinescript Node.js graphics library is too slow and inefficient at plotting bars/objects in a browser window. Code optimization doesn't help much - the graphics engine is the main reason for general slowness. - the chart has a long history (10000+ bars) in a browser's cache (you have scrolled back a couple of screens in a max zoom mode). - Reload the page/Load a fresh chart and then apply the indicator or - Switch to another Timeframe (old TF history will still remain in cache and that TF will be slow) - in max possible zoom mode around 4500 bars can fit on 1 screen - this also slows down responsiveness. Reset Zoom level - initial load and redraw times after a param change in UI also depend on TF. For example: D1/W1 - 2 sec, H1/H4 - 5-6 sec, M30 - 10 sec, M15/M5 - 4 sec, M1 - 5 sec. M30 usually has the longest history (up to 16000 bars) and W1 - the shortest (1000 bars). - when indicator uses more MAs (plots) and timeframes it will redraw slower. Seems that up to 5 Timeframes is acceptable, but 6+ Timeframes can become very slow. - show_last=last_bars plot limit doesn't affect load/redraw times, so it was removed from MA plot - Max Bars Back (num_bars) default/custom set UI value doesn't seem to affect load/redraw times - In max zoom mode all dynamic levels disappear (they behave like text) - Dupe check includes symbol: symbol, tf, both subtypes - all must match for a duplicate group - For the dupe check to work correctly a custom symbol must always include an exchange prefix. BB is not checked for dupes Good Luck! Feel free to learn from/reuse the code to build your own indicators.
Pine Script®指標
由RagingRocketBull提供
12
Forex Fire EMA/MA/RSI StrategyEURUSD The entry method in the Forex Fire EMA/MA/RSI Strategy combines several conditions across two timeframes. Here's a breakdown of how entries are determined: Long Entry Conditions: 15-Minute Timeframe Conditions: EMA 13 > EMA 62 (short-term momentum is bullish) Price > MA 200 (trading above the major trend indicator) Fast RSI (7) > Slow RSI (28) (momentum is increasing) Fast RSI > 50 (showing bullish momentum) Volume is increasing compared to 20-period average 4-Hour Timeframe Confluence: EMA 13 > EMA 62 (larger timeframe confirms bullish trend) Price > MA 200 (confirming overall uptrend) Slow RSI (28) > 40 (showing bullish bias) Fast RSI > Slow RSI (momentum is supporting the move) Additional Precision Requirement: Either EMA 13 has just crossed above EMA 62 (crossover) OR price has just crossed above MA 200 Short Entry Conditions: 15-Minute Timeframe Conditions: EMA 13 < EMA 62 (short-term momentum is bearish) Price < MA 200 (trading below the major trend indicator) Fast RSI (7) < Slow RSI (28) (momentum is decreasing) Fast RSI < 50 (showing bearish momentum) Volume is increasing compared to 20-period average 4-Hour Timeframe Confluence: EMA 13 < EMA 62 (larger timeframe confirms bearish trend) Price < MA 200 (confirming overall downtrend) Slow RSI (28) < 60 (showing bearish bias) Fast RSI < Slow RSI (momentum is supporting the move) Additional Precision Requirement: Either EMA 13 has just crossed under EMA 62 (crossunder) OR price has just crossed under MA 200 The key aspect of this strategy is that it requires alignment between the shorter timeframe (15m) and the larger timeframe (4h), which helps filter out false signals and focuses on trades that have strong multi-timeframe support. The crossover/crossunder requirement further refines entries by looking for actual changes in direction rather than just conditions that might have been in place for a long time.
Pine Script®策略
由Forex_Fire提供
Machine Learning: MFI Heat Map [YinYangAlgorithms]Overview: MFI Heat Maps are a visually appealing way to display the values of 29 different MFIs at the same time while being able to make sense of it. Each plot within the Indicator represents a different MFI value. The higher you get up, the longer the length that was used for this MFI. This Indicator also features the use of Machine Learning to help balance the MFI levels. It doesn’t solely rely upon Machine Learning but instead incorporates a growing length MFI averaged with the Machine Learning MFI at any given index. For instance, say we are calculating the 10th plot from the bottom, the MFI would be an average of: MFI(source, 11) Machine Learning MFI at Index of 10 We do it this way as they both help smooth each other out without relying solely on just one calculation method. Due to plot limitations, you are capped at 28 Plot Amounts within this indicator, but that is still quite a bit of information you can glean from a Heat Map. The Machine Learning used in this indicator is of the K-Nearest Neighbor (KNN). It uses a Fast and Slow MFI calculation then sorts through them over Machine Learning Length and calculates the differences between them. It then slices off KNN length to create our Max/Min Distances allotted. It adds the average between Fast and Slow MFIs to a Viable Distances array if their distances are within the KNN Min/Max distance. It then averages all distances in the Viable Distances array and returns the result. The result of the KNN Function is saved to another ML Data array whose length is that of Plot Amount (Heat Map Size). This way each Index of the ML Data array can be indexed according to the Heat Map Size. The Average of the ML Data array is the MFI line (white) that you’ll see plotted on the Indicator. There is also the SMA of the MFI Average (orange) which is likewise plotted. These plots allow you to visualize where the ML MFI is sitting and can potentially be useful for seeing when the MFI Average and SMA cross over and under each other. We’ve heard many people talk highly of RSI, but sadly not too many even refer to MFI. MFI oftentimes may be overlooked, especially with new traders who may not even know what it is. Essentially MFI is an RSI but it also incorporates Volume into its calculations, which in our opinion leads to a more accurate reading; afterall, what is price movement without Volume. Tutorial: You may be thinking, this Indicator looks appealing to the eye, but how do I benefit from it trading wise? Before we get into our visual examples, let's talk briefly about what makes Heat Maps in general a useful tool for trading. Heat Maps give us the ability to visualize and understand lots of data while removing the clutter. We can understand the data of 29 different MFIs without having to look at and decipher 29 different MFI plots. When you overlay too many MFI lines on top of each other, they can be very difficult to read and oftentimes end up actually hindering your Technical Analysis. For this reason, we have a simple solution to this problem; Heat Maps. This MFI Heat Map allows you to easily know (in a relative %) what the MFI level is for varying lengths. For Instance, the First (bottom) plot indexes an MFI of (K(0) (loop of Plot Amount) + Smoothing Length (default 1)) = 1. Since this is indexing (usually) a very low length, it will change much quicker. Whereas the Last (top) plot indexes an MFI of (K(27) (loop of Plot Amount) + Smoothing Length (default 1)) = 28. This is indexing a much higher length of MFI which results in the MFI the higher you go up in the Heat Map to move much slower. Heat Maps give us the ability to see changes happening over multiple MFIs at the same time, which can be very useful for seeing shifts in MFI / Momentum. Remember, MFI incorporates Volume, so even if the price goes up a lot, if there was low volume, the MFI won’t move as much as an RSI would. However, likewise, if there is high volume but low price movement, the MFI will move slightly more than the RSI. Heat Maps change color based on their MFI level. If the MFI is >= 90 it is HOT (red), if the MFI <= 9 it is COLD (teal, think of ICE). Green represents an MFI of 50-59 and Dark Blue represents an MFI of 40-49. Green and Dark blue are the most common colors as all the others are more ‘Extreme’ MFI levels. Okay, time to get to the Examples : Since there is so much going on in Heat Maps, we’ve decided to focus this tutorial to this specific area and talk about individual locations before talking about it as a whole. If you refer to the example above where there are 2 white circles; these white circles are highlighting a key location you’ll be wanting to identify within your Heat Maps, many things are happening here: The MFI crossed over the SMA (bullish). The Heat Map started changing from mid/dark Blue (30-50 MFI) to Green (50-59 MFI) around the midline (the 50% dashed like). The Lower levels of the Heat Map are turning Yellow/Orange/Red (60-100 MFI). The Upper Levels of the Heat Map are still Light Blue - Green (10-50 MFI). The 4 Key points above, all point towards potential Bullish Momentum changes. You’re likely wondering, but why? Let's discuss about each one in more specific detail: 1. The MFI crossed over the SMA (bullish): What this tells us is that the current MFI Average is now greater than its average over the last (default) 16 bars. This means there's been a large amount of Money Flow (Price and Volume) recently (subjectively based on the last (default) 16 average). This is one of the leading Bullish / Bearish signals you will see within this Indicator. You can enable Signals within the Settings and/or even add Alerts for when these crossings occur. 2. The Heat Map started changing from mid/dark Blue (30-50 MFI) to Green (50-59 MFI) around the midline (the 50% dashed like): This shows us that the index’s in the mid (if using all 28 heat map plots it would be at 14) has already received some of this momentum change. If you look at the second white circle (right), you’ll also notice the higher MFI plot indexes are also green. This is because since their length is long they still have some momentum and strength from the first white circle (left). Just because the first white circle failed in its bullish push, doesn’t mean it didn’t achieve momentum that would later on help to push the price up. 3. The Lower levels of the Heat Map are turning Yellow/Orange/Red (60-100 MFI): It occurred somewhat in the left white circle, but mainly in the right white circle. This shows us the MFI is very high on the lower lengths, this may lead to the current, middle and higher length MFIs following suit soon. Remember it has to work its way up, the higher levels can’t go red unless the lower levels go red first and the higher levels can also lag quite a bit behind and take awhile to catch up, this is normal, expected and meant to happen. Vice versa is also true with getting higher levels to go cold (light teal (think of ICE)). 4. The Upper Levels of the Heat Map are still Light Blue - Green (10-50 MFI): You might think at first that this is a bad thing, but it's not! Remember you want to be Fearful when others are Greedy and Greedy when others are Fearful! You don’t want to buy when the higher levels have a high MFI, you want to buy when you see the momentum pushing up in the lower MFI levels (getting yellow/orange/red in the low levels) while it is still Cold in the higher levels (BLUE OR GREEN, nothing higher than green as it is already slightly too high). There will be many times that it is Yellow or possibly Orange in the high levels and the bullish push still happens, but this is much more risky! The key to trading is to minimize risks while maximizing potential. Hopefully now you’re getting an idea of how to spot potential bullish momentum changes, but what about bearish momentum changes? Technically they are the exact opposite, so we don’t need to go into as much detail, but lets still take a look at a few examples: In the example above we marked the 3 times where it was displaying overly bullish characteristics. We marked the bullish momentum occurring with arrows. If you look closely at the start of the arrow to where it finishes, you’ll notice how the heat (HOT)(RED) works its way up from the lower levels to the higher levels. We then see the MFI to SMA cross under. In all 3 of these examples the heat made it all the way to the top of the chart. These are all very bearish signals that represent a bearish momentum movement that may occur soon. Also, please note, the level the MFI is at DOES matter! That line isn’t there simply for you to see when there are crosses over and under. The MFI is considered to be Overbought when it is greater than 70 (the upper white dashed line, it is just formatted to be on a different scale cause there are 28 plots, but it represents 70). The MFI is considered to be Oversold when it is less than 30 (the lower white dashed line). If we look to the left a little here where a big drop in price occurred shortly after our MFI and SMA crossed, would we have been able to identify it using the Heat Maps? Likely, No. There was some color change in the lower levels a few bars prior that went yellow/orange/red but before this cross happened they all went back to Dark Blue. In the middle section when the cross happened it was only Green and Yellow and in the upper section we are Blue. This would be a very risky trade to go on as the only real Bearish Indication was the MFI to SMA cross under. Remember, you want to reduce risk, you don’t want to simply trade on everytime the MFI and SMA cross each other or you’ll be getting yourself into many risky trades based on false signals. Based on what you’ve learned above, can you see the signs that are indicating where this white circle may have potential for a bullish momentum change? Now that we are more zoomed in, you may also be noticing there are colors to the price bars. This can be disabled in the settings, but just so you know what they mean, let’s zoom in a little more and talk about it. We’ve condensed the Indicator a bit so you can see the bars better here. The colors that are displayed on these bars are the Heat Map value for your MFI (the white line in the Indicator). This way you can better see when the Price is Hot and Cold. As you may see while looking, the colors generally go from cold to hot when bullish momentum is happening and hot to cold when bearish momentum is happening. We don’t recommend solely looking at the bars as indicators to MFI momentum change, as seeing the Heat Map will give you much more data; however it can be nice to see the Heat Map projected on the bars rather than trying to eyeball it yourself or hover over each bar specifically to see their levels. We will conclude our Tutorial here. Hopefully this has given you some insight to how useful Heat Maps can be and why it works well with a Machine Learning (KNN) Model applied to the MFI. PLEASE NOTE: You can adjust the line width for the Heat Map within the settings. If you condense the Indicator a lot or have a small screen, likely use a length of 1-2. If you have it stretched out or a large screen, a length of 2-3 will work nice. You just don’t want to have the lines overlapping or it defeats the purpose of a Heat Map. Also, the bigger the linewidth, generally you’ll want to increase the Transparency within the Settings also as it can get quite bright and hurt your eyes over time. Settings: MFI: Show MFI and SMA Crossing Signals: MFI and SMA Crossing is one of the leading Bullish and Bearish Signals in this Indicator. You can also add alerts for these signals. Plot Amount: How many plots are used in this Heat Map. (2 - 28). Source: The Source to use in all MFI calculations. Smooth Initial MFI Length: How much to smooth the Fast and Slow MFI calculation by. 1 = No smoothing. MFI SMA Length: What length we smooth the MFI Average over to get our MFI SMA. Machine Learning: Average MFI data by adding a lookback to the Source: While populating our Heat Map with the MFI's, should use use the Source each MFI Length increase or should we also lookback a Source each MFI Length Increase. KNN Distance Requirement: To be a valid KNN, it needs to abide by a Distance calculation. Generally only Max is used, but you can change it if it suits your trading style better. Machine Learning Length: How much ML data should we store? The longer the length generally the smoother the result; which may not be as accurate for something like a Heat Map, so keeping this relatively low may lead to more accurate results. KNN Length: How many KNN are used in the slice to calculate max/min distance allowed. Fast Length: Fast MFI length used in KNN to calculate distances by comparing its distance with the Slow MFI Length. Slow Length: Slow MFI length used in KNN to calculate distances by comparing its distance with the Fast MFI Length. Smoothing Length: When populating our Heat Map, at what length do we start our MFI calculations with (A Higher value with result in a slower and more smoothed MFI / Heat Map). Colors: Change Bar Color: Change bar colors to MFI Avg Color. Heat Map Transparency: If there isn't any transparency it can be a little hard on the eyes. The Greater the Line Width, generally the more transparency you'll want for your eyes. Line Width: Set how wide the Heat Map lines are MFI 90-100 Color: Color when the MFI is between these levels. MFI 80-89 Color: Color when the MFI is between these levels. MFI 70-79 Color: Color when the MFI is between these levels. MFI 60-69 Color: Color when the MFI is between these levels. MFI 50-59 Color: Color when the MFI is between these levels. MFI 40-49 Color: Color when the MFI is between these levels. MFI 30-39 Color: Color when the MFI is between these levels. MFI 20-29 Color: Color when the MFI is between these levels. MFI 10-19 Color: Color when the MFI is between these levels. MFI 0-100 Color: Color when the MFI is between these levels. If you have any questions, comments, ideas or concerns please don't hesitate to contact us. HAPPY TRADING!
Pine Script®指標
由YinYangAlgorithms提供
5
CDC ActionZone BF for ETHUSD-1D © PRoSkYNeT-EE Based on improvements from "Kitti-Playbook Action Zone V.4.2.0.3 for Stock Market" Based on improvements from "CDC Action Zone V3 2020 by piriya33" Based on Triple MACD crossover between 9/15, 21/28, 15/28 for filter error signal (noise) from CDC ActionZone V3 MACDs generated from the execution of millions of times in the "Brute Force Algorithm" to backtest data from the past 5 years. ( 2017-08-21 to 2022-08-01 ) Released 2022-08-01 ***** The indicator is used in the ETHUSD 1 Day period ONLY ***** Recommended Stop Loss : -4 % (execute stop Loss after candlestick has been closed) Backtest Result ( Start $100 ) Winrate 63 % (Win:12, Loss:7, Total:19) Live Days 1,806 days B : Buy S : Sell SL : Stop Loss 2022-07-19 07 - 1,542 : B 6.971 ETH 2022-04-13 07 - 3,118 : S 8.98 % $10,750 12,7,19 63 % 2022-03-20 07 - 2,861 : B 3.448 ETH 2021-12-03 07 - 4,216 : SL -8.94 % $9,864 11,7,18 61 % 2021-11-30 07 - 4,630 : B 2.340 ETH 2021-11-18 07 - 3,997 : S 13.71 % $10,832 11,6,17 65 % 2021-10-05 07 - 3,515 : B 2.710 ETH 2021-09-20 07 - 2,977 : S 29.38 % $9,526 10,6,16 63 % 2021-07-28 07 - 2,301 : B 3.200 ETH 2021-05-20 07 - 2,769 : S 50.49 % $7,363 9,6,15 60 % 2021-03-30 07 - 1,840 : B 2.659 ETH 2021-03-22 07 - 1,681 : SL -8.29 % $4,893 8,6,14 57 % 2021-03-08 07 - 1,833 : B 2.911 ETH 2021-02-26 07 - 1,445 : S 279.27 % $5,335 8,5,13 62 % 2020-10-13 07 - 381 : B 3.692 ETH 2020-09-05 07 - 335 : S 38.43 % $1,407 7,5,12 58 % 2020-07-06 07 - 242 : B 4.199 ETH 2020-06-27 07 - 221 : S 28.49 % $1,016 6,5,11 55 % 2020-04-16 07 - 172 : B 4.598 ETH 2020-02-29 07 - 217 : S 47.62 % $791 5,5,10 50 % 2020-01-12 07 - 147 : B 3.644 ETH 2019-11-18 07 - 178 : S -2.73 % $536 4,5,9 44 % 2019-11-01 07 - 183 : B 3.010 ETH 2019-09-23 07 - 201 : SL -4.29 % $551 4,4,8 50 % 2019-09-18 07 - 210 : B 2.740 ETH 2019-07-12 07 - 275 : S 63.69 % $575 4,3,7 57 % 2019-05-03 07 - 168 : B 2.093 ETH 2019-04-28 07 - 158 : S 29.51 % $352 3,3,6 50 % 2019-02-15 07 - 122 : B 2.225 ETH 2019-01-10 07 - 125 : SL -6.02 % $271 2,3,5 40 % 2018-12-29 07 - 133 : B 2.172 ETH 2018-05-22 07 - 641 : S 5.95 % $289 2,2,4 50 % 2018-04-21 07 - 605 : B 0.451 ETH 2018-02-02 07 - 922 : S 197.42 % $273 1,2,3 33 % 2017-11-11 07 - 310 : B 0.296 ETH 2017-10-09 07 - 297 : SL -4.50 % $92 0,2,2 0 % 2017-10-07 07 - 311 : B 0.309 ETH 2017-08-22 07 - 310 : SL -4.02 % $96 0,1,1 0 % 2017-08-21 07 - 323 : B 0.310 ETH
Pine Script®指標
由ProskynetExtremeEdition提供
RSI on VWAP Upgraded strategyFirst of all, the idea of apply RSI to VWAP was inspired by XaviZ; at least, that where I first saw that. I simply applied the idea and searched for apply this on lower timeframe (M15) to increase the number of positions and improve the profit factor. The conditions to enter are the same : long : enter on RSI crossover oversold level short : enter on RSI crossunder oversell level To close position, I found a little change to apply : long : close position when RSI(VWAP) went in overbought zone and crossunder the overbought level OR after being at least x bars in the overbought zone (parameter is 28 by default) => when the first condition happens short : close position when RSI(VWAP) went in oversold zone and crossover the oversold level OR after being at least x bars in the oversell zone (parameter is 28 by default) => when the first condition happens With this change, I got better results specially on BTCUSDTPERP (M15) where I reach a 6.8 profit factor with 119 trades closed. Not BAD ! The defaults parameters are the best found for BTCUSDTPERP (M15), but the strategy works fine for other pairs if you take time to find the rights combinations. In this strategy you can change (with defaults in () ): RSI length (28) RSI overbought level (85) RSI oversell level (30) Number of bars before leaving as explain above (28) The choice to take longs only, shorts only or both The number of coin/token by position The start date for backtesting Please note that the script use a pyramiding parameter of 3 (can be changed in the first line of the script); that means that you can take up to 3 positions before closing. It lets you improve average enter price but increase the risk. 3 is the best I found to improve profit factor without expose myself too much. This script would be better if automated because of the conditions of buy and sell. It's only for educative purpose, not an advice to invest. All my free scripts here : fr.tradingview.com Leave a message and don't forget to follow me ;) !
Pine Script®策略
由UnknownUnicorn4889556提供
28
Adaptive RSI (ARSI)# Adaptive RSI (ARSI) - Dynamic Momentum Oscillator Adaptive RSI is an advanced momentum oscillator that dynamically adjusts its calculation period based on real-time market volatility and cycle analysis. Unlike traditional RSI that uses fixed periods, ARSI continuously adapts to market conditions, providing more accurate overbought/oversold signals and reducing false signals during varying market phases. ## How It Works At its core, ARSI calculates an adaptive period ranging from 8 to 28 bars using two key components: volatility measurement through Average True Range (ATR) and cycle detection via price momentum analysis. The logic is straightforward: - **High volatility periods** trigger shorter calculation periods for enhanced responsiveness to rapid price movements - **Low volatility periods** extend the calculation window for smoother, more reliable signals - **Market factor** combines volatility and cycle analysis to determine optimal RSI period in real-time When RSI crosses above 70, the market enters overbought territory. When it falls below 30, oversold conditions emerge. The indicator also features extreme levels at 80/20 for stronger reversal signals and midline crossovers at 50 for trend confirmation. The adaptive mechanism ensures the oscillator remains sensitive during critical market movements while filtering out noise during consolidation phases, making it superior to static RSI implementations across different market conditions. ## Features - **True Adaptive Calculation**: Dynamic period adjustment from 8-28 bars based on market volatility - **Multiple Signal Types**: Overbought/oversold, extreme reversals, and midline crossovers - **Configurable Parameters**: RSI length, adaptive sensitivity, ATR period, min/max bounds - **Smart Smoothing**: Adjustable EMA smoothing from 1-21 periods to reduce noise - **Visual Clarity**: Gradient colors, area fills, and signal dots for immediate trend recognition - **Real-time Information**: Live data table showing current RSI, adaptive period, and market factor - **Flexible Source Input**: Apply to any price source (close, hl2, ohlc4, etc.) - **Professional Alerts**: Six built-in alert conditions for automated trading systems ## Signal Generation ARSI generates multiple signal types for comprehensive market analysis: **Primary Signals**: RSI crosses above 70 (overbought) or below 30 (oversold) - most reliable entry/exit points **Extreme Signals**: RSI reaches 80+ (extreme overbought) or 20- (extreme oversold) - potential reversal zones **Trend Signals**: RSI crosses above/below 50 midline - confirms directional momentum **Reversal Signals**: Price action contradicts extreme RSI levels - early turning point detection The adaptive period changes provide additional confirmation - signals accompanied by significant period shifts often carry higher probability of success. ## Visual Implementation The indicator employs sophisticated visual elements for instant market comprehension: - **Gradient RSI Line**: Color intensity reflects both value and momentum direction - **Dynamic Zones**: Overbought/oversold areas with customizable fill colors - **Signal Markers**: Triangular indicators mark key reversal and continuation points - **Information Panel**: Real-time display of RSI value, adaptive period, market factor, and signal status - **Background Coloring**: Subtle fills indicate current market state without chart clutter ## Parameter Configuration **RSI Settings**: - RSI Length: Base calculation period (default: 14) - Adaptive Sensitivity: Response aggressiveness to volatility changes (default: 1.0) - ATR Length: Volatility measurement period (default: 14) - Min/Max Period: Adaptive calculation boundaries (default: 8/28) - Smoothing Length: Final noise reduction filter (default: 3) **Level Settings**: - Overbought/Oversold: Standard signal levels (default: 70/30) - Extreme Levels: Enhanced reversal zones (default: 80/20) - Midline Display: 50-level trend confirmation toggle **Visual Settings**: - Line Width: RSI line thickness (1-5) - Area Fills: Zone highlighting toggle - Gradient Colors: Dynamic color intensity - Signal Dots: Entry/exit marker display ## Alerts ARSI includes six comprehensive alert conditions: - **ARSI Overbought** - RSI crosses above overbought level - **ARSI Oversold** - RSI crosses below oversold level - **ARSI Bullish Cross** - RSI crosses above 50 midline - **ARSI Bearish Cross** - RSI crosses below 50 midline - **ARSI Extreme Bull** - Potential bullish reversal from extreme oversold - **ARSI Extreme Bear** - Potential bearish reversal from extreme overbought ## Use Cases **Trend Following**: Adaptive periods naturally adjust during trend acceleration and consolidation phases **Mean Reversion**: Enhanced overbought/oversold signals with volatility-based confirmation **Breakout Trading**: Extreme level breaches often precede significant directional moves **Risk Management**: Multiple signal types allow for layered entry/exit strategies **Multi-Timeframe Analysis**: Works effectively across various timeframes and asset classes ## Trading Applications **Swing Trading**: Excels during trend transitions with adaptive sensitivity to changing conditions **Day Trading**: Enhanced responsiveness during volatile sessions while filtering consolidation noise **Position Trading**: Longer smoothing periods provide stable signals for broader market analysis **Scalping**: Minimal smoothing with high sensitivity captures short-term momentum shifts The indicator performs well across stocks, forex, commodities, and cryptocurrencies, though parameter optimization may be required for specific market characteristics. ## Settings Summary **Display Settings**: - RSI Length: Moving average baseline period - Adaptive Sensitivity: Volatility response factor - ATR Length: Volatility measurement window - Min/Max Period: Adaptive calculation boundaries - Smoothing Length: Noise reduction filter **Level Configuration**: - Overbought/Oversold: Primary signal thresholds - Extreme Levels: Secondary reversal zones - Midline Display: Trend confirmation toggle **Visual Options**: - Line Width: RSI line appearance - Area Fills: Zone highlighting - Gradient Colors: Dynamic visual feedback - Signal Dots: Entry/exit markers ## Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct thorough testing and risk assessment before live implementation. The adaptive nature of this indicator requires understanding of its behavior across different market conditions for optimal results.
Pine Script®指標
由Torseaux提供
Universal Ratio Trend Matrix [InvestorUnknown]The Universal Ratio Trend Matrix is designed for trend analysis on asset/asset ratios, supporting up to 40 different assets. Its primary purpose is to help identify which assets are outperforming others within a selection, providing a broad overview of market trends through a matrix of ratios. The indicator automatically expands the matrix based on the number of assets chosen, simplifying the process of comparing multiple assets in terms of performance. Key features include the ability to choose from a narrow selection of indicators to perform the ratio trend analysis, allowing users to apply well-defined metrics to their comparison. Drawback: Due to the computational intensity involved in calculating ratios across many assets, the indicator has a limitation related to loading speed. TradingView has time limits for calculations, and for users on the basic (free) plan, this could result in frequent errors due to exceeded time limits. To use the indicator effectively, users with any paid plans should run it on timeframes higher than 8h (the lowest timeframe on which it managed to load with 40 assets), as lower timeframes may not reliably load. Indicators: RSI_raw: Simple function to calculate the Relative Strength Index (RSI) of a source (asset price). RSI_sma: Calculates RSI followed by a Simple Moving Average (SMA). RSI_ema: Calculates RSI followed by an Exponential Moving Average (EMA). CCI: Calculates the Commodity Channel Index (CCI). Fisher: Implements the Fisher Transform to normalize prices. Utility Functions: f_remove_exchange_name: Strips the exchange name from asset tickers (e.g., "INDEX:BTCUSD" to "BTCUSD"). f_remove_exchange_name(simple string name) => string parts = str.split(name, ":") string result = array.size(parts) > 1 ? array.get(parts, 1) : name result f_get_price: Retrieves the closing price of a given asset ticker using request.security(). f_constant_src: Checks if the source data is constant by comparing multiple consecutive values. Inputs: General settings allow users to select the number of tickers for analysis (used_assets) and choose the trend indicator (RSI, CCI, Fisher, etc.). Table settings customize how trend scores are displayed in terms of text size, header visibility, highlighting options, and top-performing asset identification. The script includes inputs for up to 40 assets, allowing the user to select various cryptocurrencies (e.g., BTCUSD, ETHUSD, SOLUSD) or other assets for trend analysis. Price Arrays: Price values for each asset are stored in variables (price_a1 to price_a40) initialized as na. These prices are updated only for the number of assets specified by the user (used_assets). Trend scores for each asset are stored in separate arrays // declare price variables as "na" var float price_a1 = na, var float price_a2 = na, var float price_a3 = na, var float price_a4 = na, var float price_a5 = na var float price_a6 = na, var float price_a7 = na, var float price_a8 = na, var float price_a9 = na, var float price_a10 = na var float price_a11 = na, var float price_a12 = na, var float price_a13 = na, var float price_a14 = na, var float price_a15 = na var float price_a16 = na, var float price_a17 = na, var float price_a18 = na, var float price_a19 = na, var float price_a20 = na var float price_a21 = na, var float price_a22 = na, var float price_a23 = na, var float price_a24 = na, var float price_a25 = na var float price_a26 = na, var float price_a27 = na, var float price_a28 = na, var float price_a29 = na, var float price_a30 = na var float price_a31 = na, var float price_a32 = na, var float price_a33 = na, var float price_a34 = na, var float price_a35 = na var float price_a36 = na, var float price_a37 = na, var float price_a38 = na, var float price_a39 = na, var float price_a40 = na // create "empty" arrays to store trend scores var a1_array = array.new_int(40, 0), var a2_array = array.new_int(40, 0), var a3_array = array.new_int(40, 0), var a4_array = array.new_int(40, 0) var a5_array = array.new_int(40, 0), var a6_array = array.new_int(40, 0), var a7_array = array.new_int(40, 0), var a8_array = array.new_int(40, 0) var a9_array = array.new_int(40, 0), var a10_array = array.new_int(40, 0), var a11_array = array.new_int(40, 0), var a12_array = array.new_int(40, 0) var a13_array = array.new_int(40, 0), var a14_array = array.new_int(40, 0), var a15_array = array.new_int(40, 0), var a16_array = array.new_int(40, 0) var a17_array = array.new_int(40, 0), var a18_array = array.new_int(40, 0), var a19_array = array.new_int(40, 0), var a20_array = array.new_int(40, 0) var a21_array = array.new_int(40, 0), var a22_array = array.new_int(40, 0), var a23_array = array.new_int(40, 0), var a24_array = array.new_int(40, 0) var a25_array = array.new_int(40, 0), var a26_array = array.new_int(40, 0), var a27_array = array.new_int(40, 0), var a28_array = array.new_int(40, 0) var a29_array = array.new_int(40, 0), var a30_array = array.new_int(40, 0), var a31_array = array.new_int(40, 0), var a32_array = array.new_int(40, 0) var a33_array = array.new_int(40, 0), var a34_array = array.new_int(40, 0), var a35_array = array.new_int(40, 0), var a36_array = array.new_int(40, 0) var a37_array = array.new_int(40, 0), var a38_array = array.new_int(40, 0), var a39_array = array.new_int(40, 0), var a40_array = array.new_int(40, 0) f_get_price(simple string ticker) => request.security(ticker, "", close) // Prices for each USED asset f_get_asset_price(asset_number, ticker) => if (used_assets >= asset_number) f_get_price(ticker) else na // overwrite empty variables with the prices if "used_assets" is greater or equal to the asset number if barstate.isconfirmed // use barstate.isconfirmed to avoid "na prices" and calculation errors that result in empty cells in the table price_a1 := f_get_asset_price(1, asset1), price_a2 := f_get_asset_price(2, asset2), price_a3 := f_get_asset_price(3, asset3), price_a4 := f_get_asset_price(4, asset4) price_a5 := f_get_asset_price(5, asset5), price_a6 := f_get_asset_price(6, asset6), price_a7 := f_get_asset_price(7, asset7), price_a8 := f_get_asset_price(8, asset8) price_a9 := f_get_asset_price(9, asset9), price_a10 := f_get_asset_price(10, asset10), price_a11 := f_get_asset_price(11, asset11), price_a12 := f_get_asset_price(12, asset12) price_a13 := f_get_asset_price(13, asset13), price_a14 := f_get_asset_price(14, asset14), price_a15 := f_get_asset_price(15, asset15), price_a16 := f_get_asset_price(16, asset16) price_a17 := f_get_asset_price(17, asset17), price_a18 := f_get_asset_price(18, asset18), price_a19 := f_get_asset_price(19, asset19), price_a20 := f_get_asset_price(20, asset20) price_a21 := f_get_asset_price(21, asset21), price_a22 := f_get_asset_price(22, asset22), price_a23 := f_get_asset_price(23, asset23), price_a24 := f_get_asset_price(24, asset24) price_a25 := f_get_asset_price(25, asset25), price_a26 := f_get_asset_price(26, asset26), price_a27 := f_get_asset_price(27, asset27), price_a28 := f_get_asset_price(28, asset28) price_a29 := f_get_asset_price(29, asset29), price_a30 := f_get_asset_price(30, asset30), price_a31 := f_get_asset_price(31, asset31), price_a32 := f_get_asset_price(32, asset32) price_a33 := f_get_asset_price(33, asset33), price_a34 := f_get_asset_price(34, asset34), price_a35 := f_get_asset_price(35, asset35), price_a36 := f_get_asset_price(36, asset36) price_a37 := f_get_asset_price(37, asset37), price_a38 := f_get_asset_price(38, asset38), price_a39 := f_get_asset_price(39, asset39), price_a40 := f_get_asset_price(40, asset40) Universal Indicator Calculation (f_calc_score): This function allows switching between different trend indicators (RSI, CCI, Fisher) for flexibility. It uses a switch-case structure to calculate the indicator score, where a positive trend is denoted by 1 and a negative trend by 0. Each indicator has its own logic to determine whether the asset is trending up or down. // use switch to allow "universality" in indicator selection f_calc_score(source, trend_indicator, int_1, int_2) => int score = na if (not f_constant_src(source)) and source > 0.0 // Skip if you are using the same assets for ratio (for example BTC/BTC) x = switch trend_indicator "RSI (Raw)" => RSI_raw(source, int_1) "RSI (SMA)" => RSI_sma(source, int_1, int_2) "RSI (EMA)" => RSI_ema(source, int_1, int_2) "CCI" => CCI(source, int_1) "Fisher" => Fisher(source, int_1) y = switch trend_indicator "RSI (Raw)" => x > 50 ? 1 : 0 "RSI (SMA)" => x > 50 ? 1 : 0 "RSI (EMA)" => x > 50 ? 1 : 0 "CCI" => x > 0 ? 1 : 0 "Fisher" => x > x ? 1 : 0 score := y else score := 0 score Array Setting Function (f_array_set): This function populates an array with scores calculated for each asset based on a base price (p_base) divided by the prices of the individual assets. It processes multiple assets (up to 40), calling the f_calc_score function for each. // function to set values into the arrays f_array_set(a_array, p_base) => array.set(a_array, 0, f_calc_score(p_base / price_a1, trend_indicator, int_1, int_2)) array.set(a_array, 1, f_calc_score(p_base / price_a2, trend_indicator, int_1, int_2)) array.set(a_array, 2, f_calc_score(p_base / price_a3, trend_indicator, int_1, int_2)) array.set(a_array, 3, f_calc_score(p_base / price_a4, trend_indicator, int_1, int_2)) array.set(a_array, 4, f_calc_score(p_base / price_a5, trend_indicator, int_1, int_2)) array.set(a_array, 5, f_calc_score(p_base / price_a6, trend_indicator, int_1, int_2)) array.set(a_array, 6, f_calc_score(p_base / price_a7, trend_indicator, int_1, int_2)) array.set(a_array, 7, f_calc_score(p_base / price_a8, trend_indicator, int_1, int_2)) array.set(a_array, 8, f_calc_score(p_base / price_a9, trend_indicator, int_1, int_2)) array.set(a_array, 9, f_calc_score(p_base / price_a10, trend_indicator, int_1, int_2)) array.set(a_array, 10, f_calc_score(p_base / price_a11, trend_indicator, int_1, int_2)) array.set(a_array, 11, f_calc_score(p_base / price_a12, trend_indicator, int_1, int_2)) array.set(a_array, 12, f_calc_score(p_base / price_a13, trend_indicator, int_1, int_2)) array.set(a_array, 13, f_calc_score(p_base / price_a14, trend_indicator, int_1, int_2)) array.set(a_array, 14, f_calc_score(p_base / price_a15, trend_indicator, int_1, int_2)) array.set(a_array, 15, f_calc_score(p_base / price_a16, trend_indicator, int_1, int_2)) array.set(a_array, 16, f_calc_score(p_base / price_a17, trend_indicator, int_1, int_2)) array.set(a_array, 17, f_calc_score(p_base / price_a18, trend_indicator, int_1, int_2)) array.set(a_array, 18, f_calc_score(p_base / price_a19, trend_indicator, int_1, int_2)) array.set(a_array, 19, f_calc_score(p_base / price_a20, trend_indicator, int_1, int_2)) array.set(a_array, 20, f_calc_score(p_base / price_a21, trend_indicator, int_1, int_2)) array.set(a_array, 21, f_calc_score(p_base / price_a22, trend_indicator, int_1, int_2)) array.set(a_array, 22, f_calc_score(p_base / price_a23, trend_indicator, int_1, int_2)) array.set(a_array, 23, f_calc_score(p_base / price_a24, trend_indicator, int_1, int_2)) array.set(a_array, 24, f_calc_score(p_base / price_a25, trend_indicator, int_1, int_2)) array.set(a_array, 25, f_calc_score(p_base / price_a26, trend_indicator, int_1, int_2)) array.set(a_array, 26, f_calc_score(p_base / price_a27, trend_indicator, int_1, int_2)) array.set(a_array, 27, f_calc_score(p_base / price_a28, trend_indicator, int_1, int_2)) array.set(a_array, 28, f_calc_score(p_base / price_a29, trend_indicator, int_1, int_2)) array.set(a_array, 29, f_calc_score(p_base / price_a30, trend_indicator, int_1, int_2)) array.set(a_array, 30, f_calc_score(p_base / price_a31, trend_indicator, int_1, int_2)) array.set(a_array, 31, f_calc_score(p_base / price_a32, trend_indicator, int_1, int_2)) array.set(a_array, 32, f_calc_score(p_base / price_a33, trend_indicator, int_1, int_2)) array.set(a_array, 33, f_calc_score(p_base / price_a34, trend_indicator, int_1, int_2)) array.set(a_array, 34, f_calc_score(p_base / price_a35, trend_indicator, int_1, int_2)) array.set(a_array, 35, f_calc_score(p_base / price_a36, trend_indicator, int_1, int_2)) array.set(a_array, 36, f_calc_score(p_base / price_a37, trend_indicator, int_1, int_2)) array.set(a_array, 37, f_calc_score(p_base / price_a38, trend_indicator, int_1, int_2)) array.set(a_array, 38, f_calc_score(p_base / price_a39, trend_indicator, int_1, int_2)) array.set(a_array, 39, f_calc_score(p_base / price_a40, trend_indicator, int_1, int_2)) a_array Conditional Array Setting (f_arrayset): This function checks if the number of used assets is greater than or equal to a specified number before populating the arrays. // only set values into arrays for USED assets f_arrayset(asset_number, a_array, p_base) => if (used_assets >= asset_number) f_array_set(a_array, p_base) else na Main Logic The main logic initializes arrays to store scores for each asset. Each array corresponds to one asset's performance score. Setting Trend Values: The code calls f_arrayset for each asset, populating the respective arrays with calculated scores based on the asset prices. Combining Arrays: A combined_array is created to hold all the scores from individual asset arrays. This array facilitates further analysis, allowing for an overview of the performance scores of all assets at once. // create a combined array (work-around since pinescript doesn't support having array of arrays) var combined_array = array.new_int(40 * 40, 0) if barstate.islast for i = 0 to 39 array.set(combined_array, i, array.get(a1_array, i)) array.set(combined_array, i + (40 * 1), array.get(a2_array, i)) array.set(combined_array, i + (40 * 2), array.get(a3_array, i)) array.set(combined_array, i + (40 * 3), array.get(a4_array, i)) array.set(combined_array, i + (40 * 4), array.get(a5_array, i)) array.set(combined_array, i + (40 * 5), array.get(a6_array, i)) array.set(combined_array, i + (40 * 6), array.get(a7_array, i)) array.set(combined_array, i + (40 * 7), array.get(a8_array, i)) array.set(combined_array, i + (40 * 8), array.get(a9_array, i)) array.set(combined_array, i + (40 * 9), array.get(a10_array, i)) array.set(combined_array, i + (40 * 10), array.get(a11_array, i)) array.set(combined_array, i + (40 * 11), array.get(a12_array, i)) array.set(combined_array, i + (40 * 12), array.get(a13_array, i)) array.set(combined_array, i + (40 * 13), array.get(a14_array, i)) array.set(combined_array, i + (40 * 14), array.get(a15_array, i)) array.set(combined_array, i + (40 * 15), array.get(a16_array, i)) array.set(combined_array, i + (40 * 16), array.get(a17_array, i)) array.set(combined_array, i + (40 * 17), array.get(a18_array, i)) array.set(combined_array, i + (40 * 18), array.get(a19_array, i)) array.set(combined_array, i + (40 * 19), array.get(a20_array, i)) array.set(combined_array, i + (40 * 20), array.get(a21_array, i)) array.set(combined_array, i + (40 * 21), array.get(a22_array, i)) array.set(combined_array, i + (40 * 22), array.get(a23_array, i)) array.set(combined_array, i + (40 * 23), array.get(a24_array, i)) array.set(combined_array, i + (40 * 24), array.get(a25_array, i)) array.set(combined_array, i + (40 * 25), array.get(a26_array, i)) array.set(combined_array, i + (40 * 26), array.get(a27_array, i)) array.set(combined_array, i + (40 * 27), array.get(a28_array, i)) array.set(combined_array, i + (40 * 28), array.get(a29_array, i)) array.set(combined_array, i + (40 * 29), array.get(a30_array, i)) array.set(combined_array, i + (40 * 30), array.get(a31_array, i)) array.set(combined_array, i + (40 * 31), array.get(a32_array, i)) array.set(combined_array, i + (40 * 32), array.get(a33_array, i)) array.set(combined_array, i + (40 * 33), array.get(a34_array, i)) array.set(combined_array, i + (40 * 34), array.get(a35_array, i)) array.set(combined_array, i + (40 * 35), array.get(a36_array, i)) array.set(combined_array, i + (40 * 36), array.get(a37_array, i)) array.set(combined_array, i + (40 * 37), array.get(a38_array, i)) array.set(combined_array, i + (40 * 38), array.get(a39_array, i)) array.set(combined_array, i + (40 * 39), array.get(a40_array, i)) Calculating Sums: A separate array_sums is created to store the total score for each asset by summing the values of their respective score arrays. This allows for easy comparison of overall performance. Ranking Assets: The final part of the code ranks the assets based on their total scores stored in array_sums. It assigns a rank to each asset, where the asset with the highest score receives the highest rank. // create array for asset RANK based on array.sum var ranks = array.new_int(used_assets, 0) // for loop that calculates the rank of each asset if barstate.islast for i = 0 to (used_assets - 1) int rank = 1 for x = 0 to (used_assets - 1) if i != x if array.get(array_sums, i) < array.get(array_sums, x) rank := rank + 1 array.set(ranks, i, rank) Dynamic Table Creation Initialization: The table is initialized with a base structure that includes headers for asset names, scores, and ranks. The headers are set to remain constant, ensuring clarity for users as they interpret the displayed data. Data Population: As scores are calculated for each asset, the corresponding values are dynamically inserted into the table. This is achieved through a loop that iterates over the scores and ranks stored in the combined_array and array_sums, respectively. Automatic Extending Mechanism Variable Asset Count: The code checks the number of assets defined by the user. Instead of hardcoding the number of rows in the table, it uses a variable to determine the extent of the data that needs to be displayed. This allows the table to expand or contract based on the number of assets being analyzed. Dynamic Row Generation: Within the loop that populates the table, the code appends new rows for each asset based on the current asset count. The structure of each row includes the asset name, its score, and its rank, ensuring that the table remains consistent regardless of how many assets are involved. // Automatically extending table based on the number of used assets var table table = table.new(position.bottom_center, 50, 50, color.new(color.black, 100), color.white, 3, color.white, 1) if barstate.islast if not hide_head table.cell(table, 0, 0, "Universal Ratio Trend Matrix", text_color = color.white, bgcolor = #010c3b, text_size = fontSize) table.merge_cells(table, 0, 0, used_assets + 3, 0) if not hide_inps table.cell(table, 0, 1, text = "Inputs: You are using " + str.tostring(trend_indicator) + ", which takes: " + str.tostring(f_get_input(trend_indicator)), text_color = color.white, text_size = fontSize), table.merge_cells(table, 0, 1, used_assets + 3, 1) table.cell(table, 0, 2, "Assets", text_color = color.white, text_size = fontSize, bgcolor = #010c3b) for x = 0 to (used_assets - 1) table.cell(table, x + 1, 2, text = str.tostring(array.get(assets, x)), text_color = color.white, bgcolor = #010c3b, text_size = fontSize) table.cell(table, 0, x + 3, text = str.tostring(array.get(assets, x)), text_color = color.white, bgcolor = f_asset_col(array.get(ranks, x)), text_size = fontSize) for r = 0 to (used_assets - 1) for c = 0 to (used_assets - 1) table.cell(table, c + 1, r + 3, text = str.tostring(array.get(combined_array, c + (r * 40))), text_color = hl_type == "Text" ? f_get_col(array.get(combined_array, c + (r * 40))) : color.white, text_size = fontSize, bgcolor = hl_type == "Background" ? f_get_col(array.get(combined_array, c + (r * 40))) : na) for x = 0 to (used_assets - 1) table.cell(table, x + 1, x + 3, "", bgcolor = #010c3b) table.cell(table, used_assets + 1, 2, "", bgcolor = #010c3b) for x = 0 to (used_assets - 1) table.cell(table, used_assets + 1, x + 3, "==>", text_color = color.white) table.cell(table, used_assets + 2, 2, "SUM", text_color = color.white, text_size = fontSize, bgcolor = #010c3b) table.cell(table, used_assets + 3, 2, "RANK", text_color = color.white, text_size = fontSize, bgcolor = #010c3b) for x = 0 to (used_assets - 1) table.cell(table, used_assets + 2, x + 3, text = str.tostring(array.get(array_sums, x)), text_color = color.white, text_size = fontSize, bgcolor = f_highlight_sum(array.get(array_sums, x), array.get(ranks, x))) table.cell(table, used_assets + 3, x + 3, text = str.tostring(array.get(ranks, x)), text_color = color.white, text_size = fontSize, bgcolor = f_highlight_rank(array.get(ranks, x)))
Pine Script®指標
由InvestorUnknown提供
8
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades Overview The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities. This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions. Originality and Usefulness The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals. The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions. How the Components Work Together 1. Cross-Validation of Signals WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals. RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals. Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume. Example Bullish scenario: When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. Example Bearish scenario: When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. 2. Divergence Detection and Market Reversals Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high. Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy. Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market. A Regular Bullish Divergence Example: A Hidden Bullish Divergence Example: A Regular Bearish Divergence Example: A Hidden Bearish Divergence Example: 3. Trend Strength and Sentiment Analysis WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals. Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse. RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal. Example: During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Example: During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Conclusion The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics. WAVETREND Display of WaveTrend: Display of WaveTrend Setting: WaveTrend Indicator Explanation The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis. WaveTrend Input Settings: WT MA Source: Default: HLC3 What it is: The data source used for calculating the WaveTrend Moving Average. What it does: Determines the input data to smooth price action and filter noise. Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price. Length (WT MA Length): Default: 3 What it is: The period used to calculate the Moving Average. What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes. Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements. WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12 What it is: Lengths used to calculate the WaveTrend channel and its average. What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period. Example: Higher values reduce noise and help in identifying more reliable trends. Channel: Style, Width, and Color: What it is: Customization options for the WaveTrend channel's appearance. What it does: Adjusts how the channel is displayed, including line style, width, and color. Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart. WT Buy & Sell Signals: What it is: Settings to enable and customize buy and sell signals based on WaveTrend. What it does: Allows for the display of buy/sell signals and customization of their shapes and colors. When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement. When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend. Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively. WAVETREND OVERBOUGTH AND OVERSOLD LEVELS Display of WaveTrend with Overbought & Oversold Levels: Display of WaveTrend Overbought & Oversold Levels Settings: WaveTrend Overbought & Oversold Levels Explanation WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60 What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals. What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity. Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone. Show OB/OS Levels: Default: True What it is: Toggle options to show or hide the overbought and oversold levels on your chart. What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds. Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions. Line Style, Width, and Color for OB/OS Levels: What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color. What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions. Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification. Example of Use: Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order. WAVETREND DIVERGENCES Display of WaveTrend Divergence: Display of WaveTrend Divergence Setting: WaveTrend Divergence Indicator Explanation The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts. WaveTrend Divergence Input Settings: Potential Reversal Range: Default: 28 What it is: The number of bars to look back when detecting potential tops and bottoms. What it does: Sets the range for identifying possible reversal points based on historical data. Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability. Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35 What it is: The minimum overbought and oversold levels required for detecting potential reversals. What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator. Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals. Lookback Bar Left & Right: Default: Left = 10, Right = 1 What it is: The number of bars to the left and right used to confirm a top or bottom. What it does: Helps determine the position of peaks and troughs in the price action. Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past. Lookback Range Min & Max: Default: Min = 5, Max = 60 What it is: The minimum and maximum range for the lookback period when identifying divergences. What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back. Example: A wider range increases the chances of detecting divergences across different market conditions. R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53 What it is: The threshold levels for detecting regular divergences. What it does: Adjusts the sensitivity of the regular divergence detection. Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals. H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20 What it is: The threshold levels for detecting hidden divergences. What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious. Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts. Divergence Label Options: What it is: Options to display and customize labels for regular and hidden divergences. What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors. Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart. Text Size and Color: What it is: Customization options for the size and color of divergence labels. What it does: Adjusts the readability and visibility of divergence labels on the chart. Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly. FAST & SLOW MONEY FLOW INDEX Display of Fast & Slow Money Flow: Display of Fast & Slow Money Flow Setting: Fast Money Flow Indicator Explanation The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions. Fast Money Flow Input Settings: Fast Money Flow: Length: Default: 9 What it is: The period used for calculating the Fast Money Flow. What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal. Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period. Fast MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator. Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Fast Money Flow plot on the chart. What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators. Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity. Fast MFI Style, Width, and Color: What it is: Customization options for how the Fast Money Flow is displayed on the chart. What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow. Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure. Slow Money Flow Indicator Explanation The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends. Slow Money Flow Input Settings: Slow Money Flow: Length: Default: 12 What it is: The period used for calculating the Slow Money Flow. What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend. Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility. Slow MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Slow Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance. Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Slow Money Flow plot on the chart. What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators. Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart. Slow MFI Style, Width, and Color: What it is: Customization options for the visual display of the Slow Money Flow on the chart. What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow. Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market. RSI Display of RSI: Display of RSI Setting: RSI Indicator Explanation The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling. RSI Input Settings: RSI Source: Default: Close What it is: The data source used for calculating the RSI. What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions. Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period. MA Type (Moving Average Type): Default: SMA What it is: The type of moving average applied to the RSI for smoothing purposes. What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements. Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA). RSI Length: Default: 14 What it is: The period over which the RSI is calculated. What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals. Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability. RSI Plot Style, Width, and Color: What it is: Options to customize the appearance of the RSI line on the chart. What it does: Allows you to adjust the visual representation of the RSI, including the line width and color. Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis. Display of RSI with RSI Moving Average: RSI Moving Average Explanation The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals. RSI Moving Average Input Settings: MA Length: Default: 14 What it is: The period over which the Moving Average is calculated on the RSI. What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication. Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions. MA Plot Style, Width, and Color: What it is: Customization options for how the RSI Moving Average is displayed on the chart. What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line. Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator. STOCHASTIC RSI Display of Stochastic RSI: Display of Stochastic RSI Setting: Stochastic RSI Indicator Explanation The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts. Stochastic RSI Input Settings: Stochastic RSI Length: Default: 14 What it is: The period over which the Stochastic RSI is calculated. What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise. Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions. Display of Stochastic RSI %K Line: Stochastic RSI %K Line Explanation The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points. Stochastic RSI %K Input Settings: %K Length: Default: 3 What it is: The period used for smoothing the %K line of the Stochastic RSI. What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals. Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts. %K Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %K line. What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences. Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change. %K Fill Color (Above): What it is: The fill color that appears above the %K line on the chart. What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum. Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent. Display of Stochastic RSI %D Line: Stochastic RSI %D Line Explanation The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line. Stochastic RSI %D Input Settings: %D Length: Default: 3 What it is: The period used for smoothing the %D line of the Stochastic RSI. What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals. Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line. %D Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %D line. What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences. Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot. %D Fill Color (Below): What it is: The fill color that appears below the %D line on the chart. What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum. Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify. RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS Display of RSI & Stochastic with Overbought & Oversold Levels: Display of RSI & Stochastic Overbought & Oversold Settings: RSI & Stochastic Overbought & Oversold Levels Explanation The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal. RSI & Stochastic Overbought & Oversold Input Settings: RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130 What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity. Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside. RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120 What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions. Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy. RSI & Stochastic Overbought (OB) Band Customization: OB Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first overbought band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart. Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed. OB Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second overbought band on the chart. What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band. Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level. RSI & Stochastic Oversold (OS) Band Customization: OS Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first oversold band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent. Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities. OS Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second oversold band on the chart. What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions. Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities. RSI DIVERGENCES Display of RSI Divergence Labels: Display of RSI Divergence Settings: RSI Divergence Lookback Explanation The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. ) RSI Divergence Lookback Input Settings: Lookback Left: Default: 10 What it is: The number of bars to look back from the current bar to detect a potential divergence. What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences. Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns. Lookback Right: Default: 1 What it is: The number of bars to look forward from the current bar to complete the divergence pattern. What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation. Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable. Lookback Range Min: Default: 5 What it is: The minimum range of bars required to detect a valid divergence. What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences. Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns. Lookback Range Max: Default: 60 What it is: The maximum range of bars within which a divergence can be detected. What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns. Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals. RSI Divergence Explanation RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences. RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. STOCHASTIC DIVERGENCES Display of Stochastic RSI Divergence Labels: Display of Stochastic RSI Divergence Settings: Stochastic RSI Divergence Explanation Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI. Stochastic RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. Alert System: Custom Alerts for Divergences and Reversals: What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI. What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions. Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected. How to Use Alerts: Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals. By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy. For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences. How Components Work Together Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making. Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals. Ideal For Traders who require a reliable, multifaceted tool for detecting market trends and reversals. Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets. This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools. Acknowledgements Special thanks to these amazing creators for inspiration and their creations: I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible! vumanchu: VuManChu Cipher B Divergences. MisterMoTa: RSI + Divergences + Alerts . DevLucem: Plain Stochastic Divergence. Note This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
Pine Script®指標
由WeloTrades提供
4
Smart Money Concepts by WeloTradesThe "Smart Money Concepts by WeloTrades" indicator is designed to offer traders a comprehensive tool that integrates multiple advanced features to aid in market analysis. By combining order blocks, liquidity levels, fair value gaps, trendlines, and market structure analysis, the indicator provides a holistic approach to understanding market dynamics and making informed trading decisions. Components and Their Integration: Order Blocks and Breaker Blocks Detection Functionality: Order blocks represent areas where significant buying or selling occurred, creating potential support or resistance zones. Breaker blocks signal potential reversals. Integration: By detecting and visualizing these blocks, the indicator helps traders identify key levels where price might react, aiding in entry and exit decisions. The customizable settings allow traders to adjust the visibility and parameters to suit their specific trading strategy. Liquidity Levels Analysis Functionality: Liquidity levels indicate zones where significant price movements can occur due to the presence of large orders. These are areas where smart money might be executing trades. Integration: By tracking these high-probability liquidity areas, traders can anticipate potential price movements. Customizable display limits and mitigation strategies ensure that the information is tailored to the trader’s needs, providing precise and actionable insights. Fair Value Gaps (FVG) Functionality: Fair value gaps highlight areas where there is an imbalance between buyers and sellers. These gaps often represent potential trading opportunities. Integration: The ability to identify and analyze FVGs helps traders spot potential entries based on market inefficiencies. The touch and break detection functionalities provide further refinement, enhancing the precision of trading signals. Trendlines Functionality: Trendlines help in identifying the direction of the market and potential reversal points. The additional trendline adds a layer of confirmation for breaks or retests. Integration: Automatically drawn trendlines assist traders in visualizing market trends and making decisions about potential entries and exits. The additional trendline for stronger confirmation reduces the risk of false signals, providing more reliable trading opportunities. Market Structure Analysis Functionality: Understanding market structure is crucial for identifying key support and resistance levels and overall market dynamics. This component displays internal, external, and composite market structures. Integration: By automatically highlighting shifts in market structure, the indicator helps traders recognize important levels and potential changes in market direction. This analysis is critical for strategic planning and execution in trading. Customizable Alerts Functionality: Alerts ensure that traders do not miss significant market events, such as the formation or breach of order blocks, liquidity levels, and trendline interactions. Integration: Customizable alerts enhance the user experience by providing timely notifications of key events. This feature ensures that traders can act quickly and efficiently, leveraging the insights provided by the indicator. Interactive Visualization Functionality: Customizable visual aspects of the indicator allow traders to tailor the display to their preferences and trading style. Integration: This feature enhances user engagement and usability, making it easier for traders to interpret the data and make informed decisions. Personalization options like colors, styles, and display formats improve the overall effectiveness of the indicator. How Components Work Together Comprehensive Market Analysis Each component of the indicator addresses a different aspect of market analysis. Order blocks and liquidity levels highlight potential support and resistance zones, while fair value gaps and trendlines provide additional context for potential entries and exits. Market structure analysis ties everything together by offering a broad view of market dynamics. Synergistic Insights The integration of multiple features allows for cross-validation of trading signals. For instance, an order block coinciding with a high-probability liquidity level and a fair value gap can provide a stronger signal than any of these features alone. This synergy enhances the reliability of the insights and trading signals generated by the indicator. Enhanced Decision Making By combining these advanced features into a single tool, traders are equipped with a powerful resource for making informed decisions. The customizable alerts and interactive visualization further support this by ensuring that traders can act quickly on the insights provided. Order Blocks ( OB) & Breaker Blocks (BB) Visuals: 📝 OB Input Settings 📊 Timeframe #1 TF #1🕑: Enable or disable Timeframe 1. What it is: A boolean input to toggle the use of the first timeframe. What it does: Enables or disables Timeframe 1 for the OB settings. How to use it: Check or uncheck the box to enable or disable. 📊 Timeframe 1 Selection Timeframe #1🕑: Select the timeframe for Timeframe 1. What it is: A dropdown to select the desired timeframe. What it does: Sets the timeframe for Timeframe 1. How to use it: Choose a timeframe from the dropdown list. 📊 Timeframe #2 TF #2🕑: Enable or disable Timeframe 2. What it is: A boolean input to toggle the use of the second timeframe. What it does: Enables or disables Timeframe 2 for the OB settings. How to use it: Check or uncheck the box to enable or disable. 📊 Timeframe 2 Selection Timeframe #2🕑: Select the timeframe for Timeframe 2. What it is: A dropdown to select the desired timeframe. What it does: Sets the timeframe for Timeframe 2. How to use it: Choose a timeframe from the dropdown list. Additional Info: Higher TF Chart & Lower TF Setting / Lower TF Chart & Higher TF Setting. 📏 Show OBs OB (Length)📏: Toggle the display of Order Blocks. What it is: A boolean input to enable or disable the display of Order Blocks. What it does: Shows or hides Order Blocks based on the selected swing length. How to use it: Check or uncheck the box to enable or disable. 📏 Swing Length Option Swing Length Option: Select the swing length option. What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM. What it does: Sets the length of swings for Order Blocks. How to use it: Choose an option from the dropdown. Additional Info: Default lengths are SHORT=10, MID=28, LONG=50. 🔧 Custom Swing Length 🔧custom: Specify a custom swing length. What it is: An integer input for setting a custom swing length. What it does: Overrides the default swing lengths if set to CUSTOM. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 📛 Show BBs BB (Method)📛: Toggle the display of Breaker Blocks. What it is: A boolean input to enable or disable the display of Breaker Blocks. What it does: Shows or hides Breaker Blocks. How to use it: Check or uncheck the box to enable or disable. 📛 OB End Method OB End Method: Select the method for determining the end of a Breaker Block. What it is: A dropdown to choose between Wick and Close. What it does: Sets the criteria for when a Breaker Block is considered mitigated. How to use it: Choose an option from the dropdown. Additional Info: Wicks: OB is mitigated when the price wicks through the OB Level. Close: OB is mitigated when the closing price is within the OB Level. 🔍 Max Bullish Zones 🔍Max Bullish: Set the maximum number of Bullish Order Blocks to display. What it is: A dropdown to select the maximum number of Bullish Order Blocks. What it does: Limits the number of Bullish Order Blocks shown on the chart. How to use it: Choose a value from the dropdown (1-10). 🔍 Max Bearish Zones 🔍Max Bearish: Set the maximum number of Bearish Order Blocks to display. What it is: A dropdown to select the maximum number of Bearish Order Blocks. What it does: Limits the number of Bearish Order Blocks shown on the chart. How to use it: Choose a value from the dropdown (1-10). 🟩 Bullish OB Color Bullish OB Color: Set the color for Bullish Order Blocks. What it is: A color picker to set the color of Bullish Order Blocks. What it does: Changes the color of Bullish Order Blocks on the chart. How to use it: Select a color from the color picker. 🟥 Bearish OB Color Bearish OB Color: Set the color for Bearish Order Blocks. What it is: A color picker to set the color of Bearish Order Blocks. What it does: Changes the color of Bearish Order Blocks on the chart. How to use it: Select a color from the color picker. 🔧 OB & BB Range ↔ OB & BB Range: Select the range option for OB and BB. What it is: A dropdown to choose between RANGE and CUSTOM. What it does: Sets how far the OB or BB should extend. How to use it: Choose an option from the dropdown. Additional Info: RANGE = Current price, CUSTOM = Adjustable Range. 🔧 Custom OB & BB Range 🔧Custom: Specify a custom range for OB and BB. What it is: An integer input for setting a custom range. What it does: Defines how far the OB or BB should go, based on a custom value. How to use it: Enter a custom integer value (range: 1000-500000). 💬 Text Options 💬Text Options: Set text size and color for OB and BB. What it is: A dropdown to select text size and a color picker to choose text color. What it does: Changes the size and color of the text displayed for OB and BB. How to use it: Select a size from the dropdown and a color from the color picker. 💬 Show Timeframe OB Text: Toggle to display the timeframe of OB. What it is: A boolean input to show or hide the timeframe text for OB. What it does: Displays the timeframe information for Order Blocks on the chart. How to use it: Check or uncheck the box to enable or disable. 💬 Show Volume Volume: Toggle to display the volume of OB. What it is: A boolean input to show or hide the volume information for Order Blocks. What it does: Displays the volume information for Order Blocks on the chart. How to use it: Check or uncheck the box to enable or disable. Additional Info: What it represents: The volume displayed represents the total trading volume that occurred during the formation of the Order Block. This can indicate the level of participation or interest in that price level. How it's calculated: The volume is the sum of all traded volumes within the candles that form the Order Block. What it means: Higher volume at an Order Block level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the Order Block. Why it's shown: To give traders an idea of the market participation and to help assess the strength of the Order Block. 💬 Show Percentage %: Toggle to display the percentage of OB. What it is: A boolean input to show or hide the percentage information for Order Blocks. What it does: Displays the percentage information for Order Blocks on the chart. How to use it: Check or uncheck the box to enable or disable. Additional Info: What it represents: The percentage displayed usually represents the proportion of price movement relative to the Order Block. How it's calculated: This can be the percentage move from the start to the end of the Order Block or the retracement level that price has reached relative to the Order Block's range. What it means: It helps traders understand the extent of price movement within the Order Block and can indicate the significance of the price level. Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the Order Block within the overall price movement. Additional Information Volume Example: If an Order Block forms over three candles with volumes of 100, 150, and 200, the total volume displayed for that Order Block would be 450. Percentage Example: If the price moves from 100 to 110 within an Order Block, and the total range of the Order Block is from 100 to 120, the percentage shown might be 50% (since the price has moved halfway through the Order Block's range). Liquidity Levels visuals: 📊 Liquidity Levels Input Settings 📊 Current Timeframe TF #1🕑: Enable or disable the current timeframe. What it is: A boolean input to toggle the use of the current timeframe. What it does: Enables or disables the display of liquidity levels for the current timeframe. How to use it: Check or uncheck the box to enable or disable. 📊 Higher Timeframe Higher Timeframe: Select the higher timeframe for liquidity levels. What it is: A dropdown to select the desired higher timeframe. What it does: Sets the higher timeframe for liquidity levels. How to use it: Choose a timeframe from the dropdown list. 📏 Liquidity Length Option 📏Liquidity Length: Select the length for liquidity levels. What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM. What it does: Sets the length of swings for liquidity levels. How to use it: Choose an option from the dropdown. Additional Info: Default lengths are SHORT=10, MID=28, LONG=50. 🔧 Custom Liquidity Length 🔧custom: Specify a custom length for liquidity levels. What it is: An integer input for setting a custom swing length. What it does: Overrides the default liquidity lengths if set to CUSTOM. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 📛 Mitigation Method 📛Mitigation (Method): Select the method for determining the mitigation of liquidity levels. What it is: A dropdown to choose between Close and Wick. What it does: Sets the criteria for when a liquidity level is considered mitigated. How to use it: Choose an option from the dropdown. Additional Info: Wick: Level is mitigated when the price wicks through the level. Close: Level is mitigated when the closing price is within the level. 📛 Display Mitigated Levels -: Select to display or hide mitigated levels. What it is: A dropdown to choose between Remove and Show. What it does: Displays or hides mitigated liquidity levels. How to use it: Choose an option from the dropdown. Additional Info: Remove: Hide mitigated levels. Show: Display mitigated levels. 🔍 Max Buy Side Liquidity 🔍Max Buy Side Liquidity: Set the maximum number of Buy Side Liquidity Levels to display. What it is: An integer input to set the maximum number of Buy Side Liquidity Levels. What it does: Limits the number of Buy Side Liquidity Levels shown on the chart. How to use it: Enter a value between 0 and 50. 🟦 Buy Side Liquidity Color Buy Side Liquidity Color: Set the color for Buy Side Liquidity Levels. What it is: A color picker to set the color of Buy Side Liquidity Levels. What it does: Changes the color of Buy Side Liquidity Levels on the chart. How to use it: Select a color from the color picker. Additional Info: Tooltip: Set the maximum number of Buy Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50. If liquidity levels are not displayed as expected, try increasing the max count. 🔍 Max Sell Side Liquidity 🔍Max Sell Side Liquidity: Set the maximum number of Sell Side Liquidity Levels to display. What it is: An integer input to set the maximum number of Sell Side Liquidity Levels. What it does: Limits the number of Sell Side Liquidity Levels shown on the chart. How to use it: Enter a value between 0 and 50. 🟥 Sell Side Liquidity Color Sell Side Liquidity Color: Set the color for Sell Side Liquidity Levels. What it is: A color picker to set the color of Sell Side Liquidity Levels. What it does: Changes the color of Sell Side Liquidity Levels on the chart. How to use it: Select a color from the color picker. Additional Info: Tooltip: Set the maximum number of Sell Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50. If liquidity levels are not displayed as expected, try increasing the max count. ✂ Box Style (Height) ✂ Box Style (↕): Set the box height style for liquidity levels. What it is: A float input to set the height of the boxes. What it does: Adjusts the height of the boxes displaying liquidity levels. How to use it: Enter a value between -50 and 50. Additional Info: Default value is -5. 📏 Box Length b: Set the box length of liquidity levels. What it is: An integer input to set the length of the boxes. What it does: Adjusts the length of the boxes displaying liquidity levels. How to use it: Enter a value between 0 and 500. Additional Info: Default value is 20. ⏭ Extend Liquidity Levels Extend ⏭: Toggle to extend liquidity levels beyond the current range. What it is: A boolean input to enable or disable the extension of liquidity levels. What it does: Extends liquidity levels beyond their default range. How to use it: Check or uncheck the box to enable or disable. Additional Info: Extend liquidity levels beyond the current range. 💬 Text Options 💬 Text Options: Set text size and color for liquidity levels. What it is: A dropdown to select text size and a color picker to choose text color. What it does: Changes the size and color of the text displayed for liquidity levels. How to use it: Select a size from the dropdown and a color from the color picker. 💬 Show Text Text: Toggle to display text for liquidity levels. What it is: A boolean input to show or hide the text for liquidity levels. What it does: Displays the text information for liquidity levels on the chart. How to use it: Check or uncheck the box to enable or disable. 💬 Show Volume Volume: Toggle to display the volume of liquidity levels. What it is: A boolean input to show or hide the volume information for liquidity levels. What it does: Displays the volume information for liquidity levels on the chart. How to use it: Check or uncheck the box to enable or disable. Additional Info: What it represents: The volume displayed represents the total trading volume that occurred during the formation of the liquidity level. This can indicate the level of participation or interest in that price level. How it's calculated: The volume is the sum of all traded volumes within the candles that form the liquidity level. What it means: Higher volume at a liquidity level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the liquidity level. Why it's shown: To give traders an idea of the market participation and to help assess the strength of the liquidity level. 💬 Show Percentage %: Toggle to display the percentage of liquidity levels. What it is: A boolean input to show or hide the percentage information for liquidity levels. What it does: Displays the percentage information for liquidity levels on the chart. How to use it: Check or uncheck the box to enable or disable. Additional Info: What it represents: The percentage displayed usually represents the proportion of price movement relative to the liquidity level. How it's calculated: This can be the percentage move from the start to the end of the liquidity level or the retracement level that price has reached relative to the liquidity level's range. What it means: It helps traders understand the extent of price movement within the liquidity level and can indicate the significance of the price level. Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the liquidity level within the overall price movement. Fair Value Gaps visuals: 📊 Fair Value Gaps Input Settings 📊 Show FVG TF #1🕑: Enable or disable Fair Value Gaps for Timeframe 1. What it is: A boolean input to toggle the display of Fair Value Gaps. What it does: Shows or hides Fair Value Gaps on the chart. How to use it: Check or uncheck the box to enable or disable. 📊 Select Timeframe Timeframe: Select the timeframe for Fair Value Gaps. What it is: A dropdown to select the desired timeframe. What it does: Sets the timeframe for Fair Value Gaps. How to use it: Choose a timeframe from the dropdown list. Additional Info: Higher TF Chart & Lower TF Setting or Lower TF Chart & Higher TF Setting. 📛 FVG Break Method 📛FVG Break (Method): Select the method for determining when an FVG is mitigated. What it is: A dropdown to choose between Touch, Wicks, Close, or Average. What it does: Sets the criteria for when a Fair Value Gap is considered mitigated. How to use it: Choose an option from the dropdown. Additional Info: Touch: FVG is mitigated when the price touches the gap. Wicks: FVG is mitigated when the price wicks through the gap. Close: FVG is mitigated when the closing price is within the gap. Average: FVG is mitigated when the average price (average of high and low) is within the gap. 📛 Show Mitigated FVG show: Toggle to display mitigated FVGs. What it is: A boolean input to show or hide mitigated Fair Value Gaps. What it does: Displays or hides mitigated Fair Value Gaps. How to use it: Check or uncheck the box to enable or disable. 📛 Fill FVG Fill: Toggle to fill Fair Value Gaps. What it is: A boolean input to fill the Fair Value Gaps with color. What it does: Adds a color fill to the Fair Value Gaps. How to use it: Check or uncheck the box to enable or disable. 📛 Shade FVG Shade: Toggle to shade Fair Value Gaps. What it is: A boolean input to shade the Fair Value Gaps. What it does: Adds a shade effect to the Fair Value Gaps. How to use it: Check or uncheck the box to enable or disable. Additional Info: Select the method to break FVGs and toggle the visibility of FVG Breaks (fill FVG and/or shade FVG). 🔍 Max Bullish FVG 🔍Max Bullish FVG: Set the maximum number of Bullish Fair Value Gaps to display. What it is: An integer input to set the maximum number of Bullish Fair Value Gaps. What it does: Limits the number of Bullish Fair Value Gaps shown on the chart. How to use it: Enter a value between 0 and 50. 🔍 Max Bearish FVG 🔍Max Bearish FVG: Set the maximum number of Bearish Fair Value Gaps to display. What it is: An integer input to set the maximum number of Bearish Fair Value Gaps. What it does: Limits the number of Bearish Fair Value Gaps shown on the chart. How to use it: Enter a value between 0 and 50. 🟥 Bearish FVG Color Bearish FVG Color: Set the color for Bearish Fair Value Gaps. What it is: A color picker to set the color of Bearish Fair Value Gaps. What it does: Changes the color of Bearish Fair Value Gaps on the chart. How to use it: Select a color from the color picker. Additional Info: Tooltip: Set the maximum number of Bearish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50. If Fair Value Gaps are not displayed as expected, try increasing the max count. 🟦 Bullish FVG Color Bullish FVG Color: Set the color for Bullish Fair Value Gaps. What it is: A color picker to set the color of Bullish Fair Value Gaps. What it does: Changes the color of Bullish Fair Value Gaps on the chart. How to use it: Select a color from the color picker. Additional Info: Tooltip: Set the maximum number of Bullish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50. If Fair Value Gaps are not displayed as expected, try increasing the max count. 📏 FVG Range ↔ FVG Range: Set the range for Fair Value Gaps. What it is: An integer input to set the range of the Fair Value Gaps. What it does: Adjusts the range of the Fair Value Gaps displayed. How to use it: Enter a value between 0 and 100. Additional Info: Adjustable length only works when both RANGE & EXTEND display OFF. Range=current price, Extend=Full Range. ⏭ Extend FVG Extend⏭: Toggle to extend Fair Value Gaps beyond the current range. What it is: A boolean input to enable or disable the extension of Fair Value Gaps. What it does: Extends Fair Value Gaps beyond their default range. How to use it: Check or uncheck the box to enable or disable. ⏯ FVG Range Range⏯: Toggle the range of Fair Value Gaps. What it is: A boolean input to enable or disable the range display for Fair Value Gaps. What it does: Sets the range of Fair Value Gaps displayed. How to use it: Check or uncheck the box to enable or disable. ↕ Max Width ↕ Max Width: Set the maximum width of Fair Value Gaps. What it is: A float input to set the maximum width of Fair Value Gaps. What it does: Limits the width of Fair Value Gaps as a percentage of the price range. How to use it: Enter a value between 0 and 5.0. Additional Info: FVGs wider than this value will be ignored. ♻ Filter FVG Filter FVG ♻: Toggle to filter out small Fair Value Gaps. What it is: A boolean input to filter out small Fair Value Gaps. What it does: Ignores Fair Value Gaps smaller than the specified max width. How to use it: Check or uncheck the box to enable or disable. ➖ Mid Line Style ➖Mid Line Style: Select the style of the mid line for Fair Value Gaps. What it is: A dropdown to choose between Solid, Dashed, or Dotted. What it does: Sets the style of the mid line within Fair Value Gaps. How to use it: Choose an option from the dropdown. 🎨 Mid Line Color Mid Line Color: Set the color for the mid line within Fair Value Gaps. What it is: A color picker to set the color of the mid line. What it does: Changes the color of the mid line within Fair Value Gaps. How to use it: Select a color from the color picker. Additional Information Mitigation Methods: Each method (Touch, Wicks, Close, Average) provides different criteria for when a Fair Value Gap is considered mitigated, helping traders to understand the dynamics of price movements within gaps. Volume and Percentage: Displaying volume and percentage information for Fair Value Gaps helps traders gauge the strength and significance of these gaps in relation to trading activity and price movements. Trendlines visuals: 📊 Trendlines Input Settings 📊 Show Trendlines Trendlines & Trendlines Difference(%) ↕: Enable or disable trendlines and set the percentage difference from the first trendline. What it is: A boolean input to toggle the display of trendlines. What it does: Shows or hides trendlines on the chart and allows setting a percentage difference from the first trendline. How to use it: Check or uncheck the box to enable or disable. Additional Info: The percentage difference determines the distance of the second trendline from the first one. 📏 Trendline Length Option 📏Trendline Length: Select the length for trendlines. What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM. What it does: Sets the length of trendlines. How to use it: Choose an option from the dropdown. Additional Info: Default lengths are SHORT=50, MID=100, LONG=200. 🔧 Custom Trendline Length 🔧custom: Specify a custom length for trendlines. What it is: An integer input for setting a custom trendline length. What it does: Overrides the default trendline lengths if set to CUSTOM. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 🔍 Max Bearish Trendlines 🔍Max Trendlines Bearish: Set the maximum number of bearish trendlines to display. What it is: A dropdown to select the maximum number of bearish trendlines. What it does: Limits the number of bearish trendlines shown on the chart. How to use it: Choose a value from the dropdown (2-20). 🟩 Bearish Trendline Color Bearish Trendline Color: Set the color for bearish trendlines. What it is: A color picker to set the color of bearish trendlines. What it does: Changes the color of bearish trendlines on the chart. How to use it: Select a color from the color picker. Additional Info: Adjust to control how many bearish trendlines are displayed. 🔍 Max Bullish Trendlines 🔍Max Trendlines Bullish: Set the maximum number of bullish trendlines to display. What it is: A dropdown to select the maximum number of bullish trendlines. What it does: Limits the number of bullish trendlines shown on the chart. How to use it: Choose a value from the dropdown (2-20). 🟥 Bullish Trendline Color Bullish Trendline Color: Set the color for bullish trendlines. What it is: A color picker to set the color of bullish trendlines. What it does: Changes the color of bullish trendlines on the chart. How to use it: Select a color from the color picker. Additional Info: Adjust to control how many bullish trendlines are displayed. 📐 Degrees Text 📐Degrees ° (💬 Size): Enable or disable degrees text and set its size and color. What it is: A boolean input to show or hide the degrees text for trendlines. What it does: Displays the degrees text for trendlines. How to use it: Check or uncheck the box to enable or disable. 📏 Text Size for Degrees Text Size: Set the text size for degrees on trendlines. What it is: A dropdown to select the size of the degrees text. What it does: Changes the size of the degrees text displayed for trendlines. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🎨 Degrees Text Color Degrees Text Color: Set the color for the degrees text on trendlines. What it is: A color picker to set the color of the degrees text. What it does: Changes the color of the degrees text on the chart. How to use it: Select a color from the color picker. ♻ Filter Degrees ♻ Filter Degrees °: Enable or disable angle filtering and set the angle range. What it is: A boolean input to filter trendlines by their angle. What it does: Shows only trendlines within a specified angle range. How to use it: Check or uncheck the box to enable or disable. Additional Info: Angles outside this range will be filtered out. 🔢 Angle Range Angle Range: Set the angle range for filtering trendlines. What it is: Two float inputs to set the minimum and maximum angle for trendlines. What it does: Defines the range of angles for which trendlines will be shown. How to use it: Enter values for the minimum and maximum angles. ➖ Line Style ➖Style #1 & #2: Select the style of the primary and secondary trendlines. What it is: Two dropdowns to choose between Solid, Dashed, or Dotted for the trendlines. What it does: Sets the style of the primary and secondary trendlines. How to use it: Choose a style from each dropdown. 📏 Line Thickness : Set the thickness for the trendlines. What it is: An integer input to set the thickness of the trendlines. What it does: Adjusts the thickness of the trendlines displayed on the chart. How to use it: Enter a value between 1 and 5. Additional Information Trendline Percentage Difference: Setting a percentage difference helps in analyzing the relative position and angle of trendlines. Filtering by Angle: This feature allows focusing on trendlines within a specific angle range, enhancing the clarity of trend analysis. BOS & CHOCH Market Structure visuals: 📊 BOS & CHOCH Market Structure Input Settings 📏 Market Structure Length Option 📏Market Structure: Select the market structure length option. What it is: A dropdown to choose between INTERNAL, EXTERNAL, ALL, CUSTOM, or NONE. What it does: Sets the type of market structure to be displayed. How to use it: Choose an option from the dropdown. Additional Info: INTERNAL: Only internal structure. EXTERNAL: Only external structure. ALL: Both internal and external structures. CUSTOM: Custom lengths. NONE: No structure. 🔧 Custom Internal Length 🔧Custom Internal: Specify a custom length for internal market structure. What it is: An integer input for setting a custom internal length. What it does: Defines the length of internal market structures if CUSTOM is selected. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 💬 Internal Label Size 💬Internal Label Size: Set the label size for internal market structures. What it is: A dropdown to select the size of the labels. What it does: Changes the size of the labels for internal market structures. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🟩 Internal Bullish Color Internal Bullish Color: Set the color for bullish internal market structures. What it is: A color picker to set the color of bullish internal market structures. What it does: Changes the color of bullish internal market structures on the chart. How to use it: Select a color from the color picker. 🟥 Internal Bearish Color Internal Bearish Color: Set the color for bearish internal market structures. What it is: A color picker to set the color of bearish internal market structures. What it does: Changes the color of bearish internal market structures on the chart. How to use it: Select a color from the color picker. 🔧 Custom External Length 🔧Custom External: Specify a custom length for external market structure. What it is: An integer input for setting a custom external length. What it does: Defines the length of external market structures if CUSTOM is selected. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 💬 External Label Size 💬External Label Size: Set the label size for external market structures. What it is: A dropdown to select the size of the labels. What it does: Changes the size of the labels for external market structures. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🟩 External Bullish Color External Bullish Color: Set the color for bullish external market structures. What it is: A color picker to set the color of bullish external market structures. What it does: Changes the color of bullish external market structures on the chart. How to use it: Select a color from the color picker. 🟥 External Bearish Color External Bearish Color: Set the color for bearish external market structures. What it is: A color picker to set the color of bearish external market structures. What it does: Changes the color of bearish external market structures on the chart. How to use it: Select a color from the color picker. 📐 Show Equal Highs and Lows EQL & EQH📐: Toggle visibility for equal highs and lows. What it is: A boolean input to show or hide equal highs and lows. What it does: Displays or hides equal highs and lows on the chart. How to use it: Check or uncheck the box to enable or disable. 📏 Equal Highs and Lows Threshold Equal Highs and Lows Threshold: Set the threshold for equal highs and lows. What it is: A float input to set the threshold for equal highs and lows. What it does: Defines the range within which highs and lows are considered equal. How to use it: Enter a value between 0 and 10. 💬 Label Size for Equal Highs and Lows 💬Label Size for Equal Highs and Lows: Set the label size for equal highs and lows. What it is: A dropdown to select the size of the labels. What it does: Changes the size of the labels for equal highs and lows. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🟩 Bullish Color for Equal Highs and Lows Bullish Color for Equal Highs and Lows: Set the color for bullish equal highs and lows. What it is: A color picker to set the color of bullish equal highs and lows. What it does: Changes the color of bullish equal highs and lows on the chart. How to use it: Select a color from the color picker. 🟥 Bearish Color for Equal Highs and Lows Bearish Color for Equal Highs and Lows: Set the color for bearish equal highs and lows. What it is: A color picker to set the color of bearish equal highs and lows. What it does: Changes the color of bearish equal highs and lows on the chart. How to use it: Select a color from the color picker. 📏 Show Swing Points Swing Points📏: Toggle visibility for swing points. What it is: A boolean input to show or hide swing points. What it does: Displays or hides swing points on the chart. How to use it: Check or uncheck the box to enable or disable. 📏 Swing Points Length Option Swing Points Length Option: Select the length for swing points. What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM. What it does: Sets the length of swing points. How to use it: Choose an option from the dropdown. Additional Info: Default lengths are SHORT=10, MID=28, LONG=50. 💬 Swing Points Label Size 💬Swing Points Label Size: Set the label size for swing points. What it is: A dropdown to select the size of the labels. What it does: Changes the size of the labels for swing points. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🎨 Swing Points Color Swing Points Color: Set the color for swing points. What it is: A color picker to set the color of swing points. What it does: Changes the color of swing points on the chart. How to use it: Select a color from the color picker. 🔧 Custom Swing Points Length 🔧Custom Swings: Specify a custom length for swing points. What it is: An integer input for setting a custom length for swing points. What it does: Defines the length of swing points if CUSTOM is selected. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). Additional Information Market Structure Types: Understanding internal and external structures helps in analyzing different market behaviors. Equal Highs and Lows: This feature identifies areas where price action is balanced, which can be significant for trading strategies. Swing Points: Highlighting swing points aids in recognizing significant market reversals or continuations. Benefits Enhance your trading strategy by visualizing smart money's influence on price movements. Make informed decisions with real-time data on significant market structures. Reduce manual analysis with automated detection of key trading signals. Ideal For Traders looking for an edge in forex, equities, and cryptocurrency markets by understanding the underlying forces driving market dynamics. Acknowledgements Special thanks to these amazing creators for inspiration and their creations: I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible! Flux Charts: Volumized Order Blocks LuxAlgo: Trend Lines UAlgo: Fair Value Gaps (FVG) By Leviathan: Market Structure Sonarlab: Liquidity Levels Note Remember to always backtest the indicator first before integrating it into your strategy! For any questions about the indicator, please feel free to ask for assistance.
Pine Script®指標
由WeloTrades提供
117
Intellect_city - Halvings Bitcoin CycleWhat is halving? The halving timer shows when the next Bitcoin halving will occur, as well as the dates of past halvings. This event occurs every 210,000 blocks, which is approximately every 4 years. Halving reduces the emission reward by half. The original Bitcoin reward was 50 BTC per block found. Why is halving necessary? Halving allows you to maintain an algorithmically specified emission level. Anyone can verify that no more than 21 million bitcoins can be issued using this algorithm. Moreover, everyone can see how much was issued earlier, at what speed the emission is happening now, and how many bitcoins remain to be mined in the future. Even a sharp increase or decrease in mining capacity will not significantly affect this process. In this case, during the next difficulty recalculation, which occurs every 2014 blocks, the mining difficulty will be recalculated so that blocks are still found approximately once every ten minutes. How does halving work in Bitcoin blocks? The miner who collects the block adds a so-called coinbase transaction. This transaction has no entry, only exit with the receipt of emission coins to your address. If the miner's block wins, then the entire network will consider these coins to have been obtained through legitimate means. The maximum reward size is determined by the algorithm; the miner can specify the maximum reward size for the current period or less. If he puts the reward higher than possible, the network will reject such a block and the miner will not receive anything. After each halving, miners have to halve the reward they assign to themselves, otherwise their blocks will be rejected and will not make it to the main branch of the blockchain. The impact of halving on the price of Bitcoin It is believed that with constant demand, a halving of supply should double the value of the asset. In practice, the market knows when the halving will occur and prepares for this event in advance. Typically, the Bitcoin rate begins to rise about six months before the halving, and during the halving itself it does not change much. On average for past periods, the upper peak of the rate can be observed more than a year after the halving. It is almost impossible to predict future periods because, in addition to the reduction in emissions, many other factors influence the exchange rate. For example, major hacks or bankruptcies of crypto companies, the situation on the stock market, manipulation of “whales,” or changes in legislative regulation. --------------------------------------------- Table - Past and future Bitcoin halvings: --------------------------------------------- Date: Number of blocks: Award: 0 - 03-01-2009 - 0 block - 50 BTC 1 - 28-11-2012 - 210000 block - 25 BTC 2 - 09-07-2016 - 420000 block - 12.5 BTC 3 - 11-05-2020 - 630000 block - 6.25 BTC 4 - 20-04-2024 - 840000 block - 3.125 BTC 5 - 24-03-2028 - 1050000 block - 1.5625 BTC 6 - 26-02-2032 - 1260000 block - 0.78125 BTC 7 - 30-01-2036 - 1470000 block - 0.390625 BTC 8 - 03-01-2040 - 1680000 block - 0.1953125 BTC 9 - 07-12-2043 - 1890000 block - 0.09765625 BTC 10 - 10-11-2047 - 2100000 block - 0.04882813 BTC 11 - 14-10-2051 - 2310000 block - 0.02441406 BTC 12 - 17-09-2055 - 2520000 block - 0.01220703 BTC 13 - 21-08-2059 - 2730000 block - 0.00610352 BTC 14 - 25-07-2063 - 2940000 block - 0.00305176 BTC 15 - 28-06-2067 - 3150000 block - 0.00152588 BTC 16 - 01-06-2071 - 3360000 block - 0.00076294 BTC 17 - 05-05-2075 - 3570000 block - 0.00038147 BTC 18 - 08-04-2079 - 3780000 block - 0.00019073 BTC 19 - 12-03-2083 - 3990000 block - 0.00009537 BTC 20 - 13-02-2087 - 4200000 block - 0.00004768 BTC 21 - 17-01-2091 - 4410000 block - 0.00002384 BTC 22 - 21-12-2094 - 4620000 block - 0.00001192 BTC 23 - 24-11-2098 - 4830000 block - 0.00000596 BTC 24 - 29-10-2102 - 5040000 block - 0.00000298 BTC 25 - 02-10-2106 - 5250000 block - 0.00000149 BTC 26 - 05-09-2110 - 5460000 block - 0.00000075 BTC 27 - 09-08-2114 - 5670000 block - 0.00000037 BTC 28 - 13-07-2118 - 5880000 block - 0.00000019 BTC 29 - 16-06-2122 - 6090000 block - 0.00000009 BTC 30 - 20-05-2126 - 6300000 block - 0.00000005 BTC 31 - 23-04-2130 - 6510000 block - 0.00000002 BTC 32 - 27-03-2134 - 6720000 block - 0.00000001 BTC
Pine Script®指標
由INTELLECT_city提供
SMA DMA Crossing SignalSMA and DMA Crossing Buy Sell Signals This script implements a Double Moving Average (DMA) strategy, a popular technical analysis technique used by traders to identify trends and potential buy/sell signals in financial markets. **Description:** The Double Moving Average strategy involves the calculation of two moving averages – a short-term moving average and a long-term moving average. In this script, we calculate these moving averages as follows: 1. **Short-term DMA (`dmaShort`):** - Calculated using a 28-bar Simple Moving Average (SMA). - Represents the shorter-term trend in the price movement. 2. **Long-term DMA (`dmaLong`):** - Also calculated using a 28-bar SMA. - Displaced backward by 14 bars (`dmaLong := request.security(syminfo.tickerid, "D", dmaLong )`), effectively creating a 28-bar SMA with a -14 bar displacement. - Represents the longer-term trend in the price movement. **Signals:** Buy and sell signals are generated based on the crossing of the short-term DMA over or under the long-term DMA: - **Buy Signal (`DMA BUY`):** Occurs when the short-term DMA crosses above the long-term DMA (`dmaBuySignal`). - **Sell Signal (`DMA SELL`):** Occurs when the short-term DMA crosses below the long-term DMA (`dmaSellSignal`). **How to Use:** - **Buy Signal:** Consider entering a long position when the short-term DMA crosses above the long-term DMA, indicating a potential uptrend. - **Sell Signal:** Consider exiting a long position or entering a short position when the short-term DMA crosses below the long-term DMA, indicating a potential downtrend. This script provides a visual representation of the DMA crossover signals on the chart, helping traders identify potential entry and exit points in the market. **Note:** It's important to combine DMA signals with other technical analysis tools and risk management strategies for informed trading decisions. All comments are welcome..
Pine Script®指標
由tradingqueen18提供
TNT_UpgradedThe background of the indicator to show TrendingUp (Green) / TrendingDown (Red) / Range Bound (Blue) Regions. The concept is very simple, at each candle we look at the size of the candle and use a moving average of these candle body size (ABS (close-open)) and compare it agains a double smoothened average, i.e. moving average of this average to find trending or not trending periods. In the upgrade the moving average is now looking only at the current day for intraday timeframe, i.e. in the first 5 bars it is an average of last 5 values, for last 10 candles it is an average of 10 values with the max limited to 28 that is for candle 28 onwards the average is always for 28 candles for default values or as defined by user. I find it useful primarily for entry in options, a green background is more favourable for call option buying, a red background is favourable for put option buying and blue background is more favourable for option selling. The coloured ranges show the direction bias, this has been designed using RSI on 3 timeframes with different weight-ages, all customisable by the user. PS, I only trade Bank Nifty for intraday, all my observations are driven only by Bank Nifty.
Pine Script®指標
由Lazylady提供