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MA VisualizerThe MA Visualizer is made up of 5 Moving Averages (MA) All MA change color when the price closes above or below the MA line. The background between the MA line and price will also change color, this creates the Visualizer. When two or more MA are selected the two visualizer's will combine and create a gradient effect. Each MA can be adjusted with 6 source selection's to choose from (SMA , EMA , WMA , HMA , RMA , WVMA). The Visualizer can be turned off while leaving the MA lines turned on and vice versa. Their is also a MA Cross indicator built-in.
Pine Script®指標
由Satosaur提供
11
Portfolio Backtester Engine█  OVERVIEW Portfolio Backtester Engine (PBTE). This tool will allow you to backtest strategies across multiple securities at once. Allowing you to easier understand if your strategy is robust. If you are familiar with the PineCoders backtesting engine , then you will find this indicator pleasant to work with as it is an adaptation based on that work. Much of the functionality has been kept the same, or enhanced, with some minor adjustments I made on the account of creating a more subjectively intuitive tool. █  HISTORY The original purpose of the backtesting engine (`BTE`) was to bridge the gap between strategies and studies . Previously, strategies did not contain the ability to send alerts, but were necessary for backtesting. Studies on the other hand were necessary for sending alerts, but could not provide backtesting results . Often, traders would have to manage two separate Pine scripts to take advantage of each feature, this was less than ideal. The `BTE` published by PineCoders offered a solution to this issue by generating backtesting results under the context of a study(). This allowed traders to backtest their strategy and simultaneously generate alerts for automated trading, thus eliminating the need for a separate strategy() script (though, even converting the engine to a strategy was made simple by the PineCoders!). Fast forward a couple years and PineScript evolved beyond these issues and alerts were introduced into strategies. The BTE was not quite as necessary anymore, but is still extremely useful as it contains extra features and data not found under the strategy() context. Below is an excerpt of features contained by the BTE: """ More than `40` built-in strategies, Customizable components, Coupling with your own external indicator, Simple conversion from Study to Strategy modes, Post-Exit analysis to search for alternate trade outcomes, Use of the Data Window to show detailed bar by bar trade information and global statistics, including some not provided by TV backtesting, Plotting of reminders and generation of alerts on in-trade events. """ Before I go any further, I want to be clear that the BTE is STILL a good tool and it is STILL very useful. The Portfolio Backtesting Engine I am introducing is only a tangental advancement and not to be confused as a replacement, this tool would not have been possible without the `BTE`. █  THE PROBLEM Most strategies built in Pine are limited by one thing. Data. Backtesting should be a rigorous process and researchers should examine the performance of their strategy across all market regimes; that includes, bullish and bearish markets, ranging markets, low volatility and high volatility. Depending on your TV subscription The Pine Engine is limited to 5k-20k historical bars available for backtesting, which can often leave the strategy results wanting. As a general rule of thumb, strategies should be tested across a quantity of historical bars which will allow for at least 100 trades. In many cases, the lack of historical bars available for backtesting and frequency of the strategy signals produces less than 100 trades, rendering your strategy results inconclusive. █  THE SOLUTION In order to be confident that we have a robust strategy we must test it across all market regimes and we must have over 100 trades. To do this effectively, researchers can use the Portfolio Backtesting Engine (PBTE). By testing a strategy across a carefully selected portfolio of securities, researchers can now gather 5k-20k historical bars per security! Currently, the PTBE allows up to 5 securities, which amounts to 25k-100k historical bars. █  HOW TO USE 1 — Add the indicator to your chart.  • Confirm inputs. These will be the most important initial values which you can change later by clicking the gear icon ⚙ and opening up the settings of the indicator. 2 — Select a portfolio.  • You will want to spend some time carefully selecting a portfolio of securities.    • Each security should be uncorrelated.    • The entire portfolio should contain a mix of different market regimes.     You should understand that strategies generally take advantage of one particular type of market regime. (trending, ranging, low/high volatility)    For example, the default RSI strategy is typically advantageous during ranging markets, whereas a typical moving average crossover strategy is advantageous in trending markets.    If you were to use the standard RSI strategy during a trending market, you might be selling when you should be buying.    Similarily, if you use an SMA crossover during a ranging market, you will find that the MA's may produce many false signals.    Even if you build a strategy that is designed to be used only in a trending market, it is still best to select a portfolio of all market regimes    as you will be able to test how your strategy will perform when the market does something unexpected. 3 — Test a built-in strategy or add your own.    • Navigate to gear icon ⚙ (settings) of strategy.    • Choose your options.       • Select a Main Entry Strat and Alternate Entry Strat .          • If you want to add your own strategy, you will need to modify the source code and follow the built-in example.          • You will only need to generate (buy 1 / sell -1/ neutral 0) signals.       • Select a Filter , by default these are all off.       • Select an Entry Stop - This will be your stop loss placed at the trade entry.       • Select Pyamiding - This will allow you to stack positions. By default this is off.       • Select Hard Exits - You can also think of these as Take Profits.    • Let the strategy run and take note of the display tables results.       • Portfolio - Shows each security.          • The strategy runs on each asset in your portfolio.          • The initial capital is equally distributed across each security.           So if you have 5 securities and a starting capital of 100,000$ then each security will run the strategy starting with 20,000$           The total row will aggregate the results on a bar by bar basis showing the total results of your initial capital.       • Net Profit (NP) - Shows profitability.       • Number of Trades (#T) - Shows # of trades taken during backtesting period.          • Typically will want to see this number greater than 100 on the "Total" row.       • Average Trade Length (ATL) - Shows average # of days in a trade.       • Maximum Drawdown (MD ) - Max peak-to-valley equity drawdown during backtesting period.          • This number defines the minimum amount of capital required to trade the system.          • Typically, this shouldn’t be lower than 34% and we will want to allow for at least 50% beyond this number.       • Maximum Loss (ML) - Shows largest loss experienced on a per-trade basis.          • Normally, don’t want to exceed more than 1-2 % of equity.       • Maximum Drawdown Duration (MDD) - The longest duration of a drawdown in equity prior to a new equity peak.          • This number is important to help us psychologically understand how long we can expect to wait for a new peak in account equity.       • Maximum Consecutive Losses (MCL) - The max consecutive losses endured throughout the backtesting period.          • Another important metric for trader psychology, this will help you understand how many losses you should be prepared to handle.       • Profit to Maximum Drawdown (P:MD) - A ratio for the average profit to the maximum drawdown.          • The higher the ratio is, the better. Large profits and small losses contribute to a good PMD.          • This metric allows us to examine the profit with respect to risk.       • Profit Loss Ratio (P:L) - Average profit over the average loss.          • Typically this number should be higher in trend following systems.          • Mean reversion systems show lower values, but compensate with a better win %.       • Percent Winners (% W) - The percentage of winning trades.          • Trend systems will usually have lower win percentages, since statistically the market is only trending roughly 30% of the time.          • Mean reversion systems typically should have a high % W.       • Time Percentage (Time %) - The amount of time that the system has an open position.          • The more time you are in the market, the more you are exposed to market risk, not to mention you could be using that money for something else right?       • Return on Investment (ROI) - Your Net Profit over your initial investment, represented as a percentage.          • You want this number to be positive and high.       • Open Profit (OP) - If the strategy has any open positions, the floating value will be represented here.       • Trading Days (TD) - An important metric showing how many days the strategy was active.          • This is good to know and will be valuable in understanding how long you will need to run this strategy in order to achieve results. █  FEATURES These are additional features that extend the original `BTE` features. - Portfolio backtesting. - Color coded performance results. - Circuit Breakers that will stop trading. - Position reversals on exit. (Simulating the function of always in the market. Similar to strategy.entry functionality) - Whipsaw Filter - Moving Average Filter - Minimum Change Filter - % Gain Equity Exit - Popular strategies, (MACD, MA cross, supertrend) Below are features that were excluded from the original `BTE` - 2 stage in-trade stops with kick-in rules (This was a subjective decision to remove. I found it to be complex and thwarted my use of the `BTE` for some time.) - Simple conversion from Study to Strategy modes. (Not possible with multiple securities) - Coupling with your own external indicator (Not really practical to use with multiple securities, but could be used if signals were generated based on some indicator which was not based on the current chart) - Use of the Data Window to show detailed bar by bar trade information and global statistics. - Post Exit Analysis. - Plotting of reminders and generation of alerts on in-trade events. - Alerts (These may be added in the future by request when I find the time.) █  THANKS The whole PineCoders team for all their shared knowledge and original publication of the BTE and Richard Weismann for his ideas on building robust strategies. ═════════════════════════════════════════════════════════════════════════
Pine Script®指標
由pAulseperformance提供
36
Moving Average CrossNote: This is just an idea, I did not test this for trading. MA Cross normally uses close as source in the moving averages, this script uses highs and lows as source. In an uptrend you will see the 20 period high EMA and 50 period low EMA, once they cross, the indicator will switch to 20 period low EMA and 50 period high EMA. This gives it way less fake crosses as you see in the image on BTC. As i said above, this is just an idea. If you change the settings, they might not cross at all.. so do your own testing. Hope this code can help someone.
Pine Script®指標
由EvoCrypto提供
3
MultiType Shifting Predictive Moving Averages (MA) CrossoverJust 2 Moving Averages with adjustable settings and shifting capability, plus signals and predicting continuations. At the time of publish these different types of MAs are supported: - SMA (Simple) - EMA (Exponential) - DEMA (Double Exponential) - TEMA (Triple Exponential) - RMA (Adjusted Exponential) - WMA (Weighted) - VWMA (Volume Weighted) - SWMA (Symmetrically Weighted) - HMA (Hull) I'm looking forward to any idea about filtering the signals. Thanks.
Pine Script®指標
由informanerd提供
26
SW System - EMAs - Pivots v2//========================================================= // Indicator Name: SW System - Traditional Pivots and MA cross alerts - Plus Psychological Sup/Res // Type: Main panel // Version: 2 // Description: MA cross alerts - Plus Psychological Sup/Res // Traditional Pivots in any time frame // Author: Sergio Waldoke (Argentina) // First Release: June 23rd, 2019 // Last Release: June 27 th, 2020 // // This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © galileogalilei1 (Sergio Waldoke) //========================================================== Set of tendence and Support/Resistance with Pivots and psychological S/R in main prices. Four moving averages are provide which may be chosen between EMA or simple Moving Average. Some alerts in crosses are provide. Enjoy!
Pine Script®指標
由galileogalilei1提供
RSI TrendSignal🔍 **Smart RSI System – Free & Open Source** A powerful RSI-based indicator designed for traders who want clarity, simplicity, and filtered signals that *actually mean something*. --- ### 🎯 Key Features: ✅ Classic RSI with custom smoothing ✅ Optional Bollinger Bands over RSI ✅ Built-in Divergence Detection (Regular Bullish/Bearish) ✅ Dynamic Buy/Sell Conditions based on RSI + MA cross ✅ STAR signals for high-conviction entries (Overbought/Oversold + strength filter) ✅ ATR-based strength filter and custom visualizations ✅ Works great on **crypto**, **forex**, or **indices** ✅ Fully open-source and beginner-friendly! --- ### 📊 Recommended Timeframes: 15min, 1H, 4H, Daily – test and adjust settings for your style. --- ### ⚙️ How to Use: 1. Watch for **Buy/Sell** shapes when RSI confirms crossover with smoothed MA. 2. **STAR signals** are stronger – when RSI is above 70 or below 30 with momentum separation. 3. Divergences (optional) can confirm reversals. 4. Use ATR plot or your own trailing stop logic for exit strategy. --- 🔔 Alerts are built-in and ready to use. 📌 You can connect them to bots, webhooks, or Telegram (see alert templates in the script). --- 🧠 **Built by a trader, for traders.** Use this as a base and build your own version – or just trade it as is. --- --- 💬 **Feedback / Questions / Want to talk?** Feel free to message me on Telegram: 👉 (t.me/Ario_pinescript_pogramer) This is a clean version of RSI TrendSignal with improved alerts. It uses RSI cross with a smoothed moving average to generate filtered buy/sell signals. No external links or bots. Fully compliant with TradingView rules. 📺 Demo & Tutorial coming soon on my YouTube channel – stay tuned
Pine Script®指標
由setbet215提供
Market Sentiment Index US Top 40 [Pt]▮Overview Market Sentiment Index US Top 40 [Pt} shows how the largest US stocks behave together. You pick one simple measure—High Low breakouts, Above Below moving average, or RSI overbought/oversold—and see how many of your chosen top 10/20/30/40 NYSE or NASDAQ names are bullish, neutral, or bearish. This tool gives you a quick view of broad-market strength or weakness so you can time trades, confirm trends, and spot hidden shifts in market sentiment. ▮Key Features ► Three Simple Modes High Low Index: counts stocks making new highs or lows over your lookback period Above Below MA: flags stocks trading above or below their moving average RSI Sentiment: marks overbought or oversold stocks and plots a small histogram ► Universe Selection Top 10, 20, 30, or 40 symbols from NYSE or NASDAQ Option to weight by market cap or treat all symbols equally ► Timeframe Choice Use your chart’s timeframe or any intraday, daily, weekly, or monthly resolution ► Histogram Smoothing Two optional moving averages on the sentiment bars Markers show when the faster average crosses above or below the slower one ► Ticker Table Optional on-chart table showing each ticker’s state in color Grid or single-row layout with adjustable text size and color settings ▮Inputs ► Mode and Lookback Pick High Low, Above Below MA, or RSI Sentiment Set lookback length (for example 10 bars) If using Above Below MA, choose the moving average type (EMA, SMA, etc.) ► Universe Setup Market: NYSE or NASDAQ Number of symbols: 10, 20, 30, or 40 Weights: on or off Timeframe: blank to match chart or pick any other ► Moving Averages on Histogram Enable fast and slow averages Set their lengths and types Choose colors for averages and markers ► Table Options Show or hide the symbol table Select text size: tiny, small, or normal Choose layout: grid or one-row Pick colors for bullish, neutral, and bearish cells Show or hide exchange prefixes ▮How to Read It ► Sentiment Bars Green means bullish Red means bearish Near zero means neutral ► Zero Line Separates bullish from bearish readings ► High Low Line (High Low mode only) Smooth ratio of highs versus lows over your lookback ► MA Crosses Fast MA above slow MA hints rising breadth Fast MA below slow MA hints falling breadth ► Ticker Table Each cell colored green, gray, or red for bull, neutral, or bear ▮Use Cases ► Confirm Market Trends Early warning when price makes highs but breadth is weak Catch rallies when breadth turns strong while price is flat ► Spot Sector Rotation Switch between NYSE and NASDAQ to see which group leads Watch tech versus industrial breadth to track money flow ► Filter Trade Signals Enter longs only when breadth is bullish Consider shorts when breadth turns negative ► Combine with Other Indicators Use RSI Sentiment with trend tools to spot overextended moves Add volume indicators in High Low mode for breakout confirmation ► Timeframe Analysis Daily for big-picture bias Intraday (15-min) for precise entries and exits
Pine Script®指標
由PtGambler提供
[blackcat] L3 Ichimoku FusionCOMPREHENSIVE ANALYSIS OF THE L3 ICHIMOKU FUSION INDICATOR 🌐 Overview: The L3 Ichimoku Fusion is a sophisticated multi-layered technical analysis tool integrating classic Japanese market forecasting techniques with enhanced dynamic elements designed specifically for identifying potential turning points in financial instruments' pricing action. Key Purpose: To provide traders with an intuitive yet powerful framework combining established ichimoku principles while incorporating additional validation checkpoints derived from cross-timeframe convergence studies. THEORETICAL FOUNDATION EXPLAINED 🎓 Conceptual Background: : • Conversion & Base Lines tracking intermediate term averages • Lagging Span providing delayed feedback mechanism • Lead Spans projecting future equilibrium states : • Adaptive parameter scaling options • Automated labeling system for critical junctures • Real-time alert infrastructure enabling immediate response capability PARAMETER CONFIGURATION GUIDE ⚙️ Input Parameters Explained In Detail: Regional Setting Selection:** → Oriental Configuration: Standardized approach emphasizing slower oscillation cycles → Occidental Variation: Optimized settings reducing lag characteristics typical of original methodology Multiplier Adjustment Functionality:** ↔ Allows fine-graining oscillator responsiveness without altering core relationship dynamics ↕ Enables adaptation to various instrument volatility profiles efficiently Displacement Value Control:** ↓ Controls lead/lag offset positioning relative to current prices ↑ Provides flexibility in adjusting visual representation alignment preferences DYNAMIC CALCULATION PROCESSES 💻 Algorithmic Foundation: : Utilizes highest/lowest extremes over specified lookback windows Produces more responsive conversions compared to simple MAs : → Confirms directional bias across multiple independent criteria ← Ensures higher probability outcomes reduce random noise influence : ♾ Creates persistent annotations documenting significant events 🔄 Handles complex state transitions maintaining historical record integrity VISUALIZATION COMPONENTS OVERVIEW 🎨 Display Architecture Details: : → Solid colored trendlines representing conversion/base relationships ↑ Fill effect overlay differentiating expansion/compression phases ↔ Offset spans positioned according to calculated displacement values : → Green shading indicates positive configuration scenarios ↘ Red filling highlights negative arrangement situations ⟳ Orange transition areas mark transitional periods requiring caution : ✔️ LE: Long Entry opportunity confirmed ❌ SE: Short Setup validated ☑ XL/XS: Position closure triggers active ✓ RL/RS: Potential re-entry chances emerging STRATEGIC APPLICATION FRAMEWORK 📋 Practical Deployment Guidelines: Initial Integration Phase: Select appropriate timeframe matching trading horizon preference Configure input parameters aligning with target asset behavior traits Test thoroughly under simulated conditions prior to live usage Active Monitoring Procedures: • Regular observation of cloud formation evolution • Tracking label placements against actual price movements • Noting pattern development leading up to signaled entry/exit moments Decision Making Process Flowchart: → Identify clear breakout/crossover events exceeding confirmation thresholds ← Evaluate contextual factors supporting/rejecting indicated direction ↑ Execute trades only after achieving required number of confirming inputs PERFORMANCE OPTIMIZATION TECHNIQUES 🚀 Refinement Strategies: Calibration Optimization Approach: → Start testing with default suggested configurations ↓ Gradually adjust individual components observing outcome changes ↑ Document findings systematically building personalized version profile Context Adaptability Methods: ➕ Add supplementary indicators enhancing overall reliability ➖ Remove unnecessary complexity layers if causing confusion ✨ Incorporate custom rules adapting to specific security behaviors Efficiency Improvement Tactics: 🔧 Streamline redundant processing routines where possible ♻️ Leverage shared data streams whenever feasible ⚡ Optimize refresh frequencies balancing update speed vs computational load RISK MITIGATION PROTOCOLS 🛡️ Safety Measures Implementation Guide: Position Sizing Principles: ∅ Never exceed preset maximum exposure limits defined by risk tolerance ± Scale positions proportionally per account size/market capitalization × Include slippage allowances within planning stages accounting for liquidity variations Validation Requirements Hierarchy: ☐ Verify signals meet minimum number of concurrent validations ⛔ Ignore isolated occurrences lacking adequate evidence backing ▶ Look for convergent evidence strengthening conviction level Emergency Response Planning: ↩ Establish predefined exit strategies including trailing stops mechanisms 🌀 Plan worst-case scenario responses ahead avoiding panic reactions ⇄ Maintain contingency plans addressing unexpected adverse developments USER EXPERIENCE ENHANCEMENT FEATURES 🌟 Additional Utility Functions: Alert System Infrastructure: → Automatic notifications delivered directly to user devices ↑ Message content customized explaining triggered condition specifics ↔ Timing optimization ensuring minimal missed opportunities due to latency issues Historical Review Capability: → Ability to analyze past performance retrospectively ↓ Assess effectiveness across varying market regimes objectively ↗ Generate statistics measuring success/failure rates quantitatively Community Collaboration Support: ↪ Share personal optimizations benefiting wider trader community ↔ Exchange experiences improving collective understanding base ✍️ Provide constructive feedback aiding ongoing refinement process CONCLUSION AND NEXT STEPS This comprehensive guide serves as your roadmap toward mastering the capabilities offered by the L3 Ichimoku Fusion indicator effectively. Success relies heavily on disciplined application combined with continuous learning and adjustment processes throughout implementation journey. Wishing you prosperous trading endeavors! 👋💰
Pine Script®指標
由blackcat1402提供
Indiq 2.0The functionality of the indicator includes the following features: Moving Averages (MA): The ability to adjust periods for short (short_ma_length) and long (long_ma_length) moving averages. Display of moving averages on the chart: Short MA (blue line). Long MA (red line). Generation of buy and sell signals: Buy (BUY): When the short MA crosses the long MA from below. Sell (SELL): When the short MA crosses the long MA from above. Visualization of signals on the chart: Buy is displayed as a green BUY marker below the candle. Sell is displayed as a red SELL marker above the candle. Liquidity Heatmap: Liquidity levels: Levels are calculated based on the closing price and a step (liquidity_step). Levels are grouped by the nearest price values. Volumes at levels: Volume (volume) is accumulated for each liquidity level. Levels with a volume less than min_volume_filter are not displayed. Time filtering: Levels that have not been updated within the last time_filter bars are not displayed. Volatility filtering: Levels are filtered by volatility (ATR) to exclude those outside the volatility range. Color gradient: The color of levels depends on volume (gradient from gradient_start_color to gradient_end_color). Visualization: Liquidity levels are displayed as horizontal lines. Volumes at levels are shown as text labels. RSI Filtering: The ability to enable/disable RSI filtering (rsi_filter). Liquidity levels are filtered based on overbought (rsi_overbought) and oversold (rsi_oversold) conditions. Levels that do not meet RSI conditions are not displayed. MACD Filtering: The ability to enable/disable MACD filtering (macd_filter). Liquidity levels are filtered based on the MACD histogram condition (e.g., only if the histogram is above zero). Levels that do not meet MACD conditions are not displayed. Display of Market Maker Buys: Condition for market maker buys: Volume exceeds the average volume over the last 20 bars by 2 times. Closing price is above the opening price. Market maker buys are displayed on the chart as orange MM Buy markers below the candle. Indicator Settings: Moving average parameters: short_ma_length: Period for the short MA. long_ma_length: Period for the long MA. Liquidity heatmap parameters: liquidity_step: Step between liquidity levels. max_levels: Maximum number of levels to display. time_filter: Time filter (last N bars). min_volume_filter: Minimum volume for displaying a level. volatility_filter: Volatility filter (ATR multiplier). RSI parameters: rsi_filter: Enable/disable RSI filtering. rsi_overbought: Overbought RSI level. rsi_oversold: Oversold RSI level. MACD parameters: macd_filter: Enable/disable MACD filtering. Color settings: gradient_start_color: Starting color of the gradient. gradient_end_color: Ending color of the gradient. Visualization: Moving averages: Short MA: Blue line. Long MA: Red line. Signals: Buy: Green BUY marker. Sell: Red SELL marker. Liquidity heatmap: Liquidity levels: Horizontal lines with a color gradient. Volumes: Text labels at levels. Market maker buys: Orange MM Buy markers. Alerts: The ability to set alerts for signals: Buy (BUY). Sell (SELL). Additional Features: Flexible filter settings: Filtering by time, volume, volatility, RSI, and MACD. Extensibility: The ability to add new filters (e.g., Stochastic, Volume Profile, etc.). Visual customization: Adjustment of colors, sizes, and display styles. Summary: The indicator provides a comprehensive tool for analyzing liquidity, generating trading signals, and tracking market maker activity. It combines: A liquidity heatmap. Signals based on moving averages. Filtering by RSI and MACD. Display of market maker buys. Flexible settings and visualization. This indicator is suitable for traders who want to analyze liquidity levels, identify entry and exit points, and monitor the actions of large market players.
Pine Script®指標
由Alpina080提供
Meme Coin Buy Signal Indicator by asharThis custom TradingView indicator is specifically designed for meme coins, using technical analysis indicators to identify optimal buy signals. It combines short-term moving averages, volume spikes, and Bitcoin trend alignment to pinpoint potential entry points during high-momentum periods. Indicator Components: Moving Averages (MA): A 5-period fast MA and a 13-period slow MA highlight short-term price momentum. Buy signals are generated when the fast MA crosses above the slow MA, indicating potential upward momentum. Volume Spike Detection: The indicator detects high-volume periods using a multiplier. If the current volume exceeds the 10-period average volume by the set multiplier (default: 2.0), it indicates increased buying interest, which is crucial for meme coins. Bitcoin Trend Alignment: The trend of Bitcoin, a market-wide sentiment indicator, is gauged with a 20-day moving average. Buy signals are validated only when Bitcoin is also in an uptrend, providing additional bullish confirmation for meme coins. Buy Signal Criteria: A buy signal is triggered when: The fast MA crosses above the slow MA. Volume is above the average by the set multiplier. The price is above the slow MA. Bitcoin is trending up based on the 20-day moving average. This indicator is ideal for meme coin traders looking to time entries with momentum-driven trends, aligning volume and trend indicators for a more comprehensive approach to high-risk assets.
Pine Script®指標
由asharzafar03提供
XAUUSD Multi-Timeframe Trend AnalyzerOverview The "XAUUSD Multi-Timeframe Trend Analyzer" is an advanced script designed to provide a comprehensive analysis of the XAUUSD (Gold/US Dollar) trend across multiple timeframes simultaneously. By combining several key technical indicators, this tool helps traders quickly assess the market direction and trend strength for M15, M30, H1, H4, and D1 timeframes. Multi-Timeframe Analysis: Displays the trend direction and strength across M15, M30, H1, H4, and D1 timeframes, allowing for a complete overview in a single glance. Comprehensive Indicator Blend: Utilizes six popular technical indicators to determine the trend—Moving Averages, RSI, MACD, Bollinger Bands, DMI, and Parabolic SAR. Trend Strength Scoring: Provides a numerical trend strength score (from -6 to 6) based on the alignment of the indicators, with positive values indicating uptrends and negative values for downtrends. Visual Table Display: Displays results in a color-coded table (green for uptrend, red for downtrend, yellow for neutral) with a strength score for each timeframe, helping traders quickly assess market conditions. How It Works This script calculates the overall trend and its strength for each selected timeframe by analyzing six widely-used technical indicators: Moving Averages (MA): The script uses a Fast and a Slow Moving Average. When the Fast MA crosses above the Slow MA, it indicates an uptrend. When the Fast MA crosses below, it signals a downtrend. Relative Strength Index (RSI): The RSI is used to assess momentum. An RSI value above 50 suggests bullish momentum, while a value below 50 suggests bearish momentum. Moving Average Convergence Divergence (MACD): MACD measures momentum and trend direction. When the MACD line crosses above the signal line, it signals bullish momentum; when it crosses below, it signals bearish momentum. Bollinger Bands: These measure price volatility. When the price is above the middle Bollinger Band, the script considers the trend to be bullish, and when it's below, bearish. Directional Movement Index (DMI): The DMI compares positive directional movement (DI+) and negative directional movement (DI-). A stronger DI+ over DI- signals an uptrend and vice versa. Parabolic SAR: This indicator is used for determining potential trend reversals and setting stop-loss levels. If the price is above the Parabolic SAR, it indicates an uptrend, and if below, a downtrend. Trend Strength Calculation The script calculates a trend strength score for each timeframe: Each indicator adds or subtracts 1 to the score based on whether it aligns with an uptrend or a downtrend. A score of 6 indicates a Strong Uptrend, with all indicators aligned bullishly. A score of -6 indicates a Strong Downtrend, with all indicators aligned bearishly. Intermediate scores (e.g., 2 or -2) indicate Weak Uptrend or Weak Downtrend, suggesting that not all indicators are in agreement. A score between 1 and -1 indicates a Neutral trend, suggesting uncertainty in the market. How to Use Assess Trend Direction and Strength: The table provides an easy-to-read summary of the trend and its strength on different timeframes. Look for timeframes where the strength is high (either 6 for a strong uptrend or -6 for a strong downtrend) to confirm the market’s overall direction. Use in Conjunction with Other Strategies: This indicator is designed to provide a comprehensive view of the market. Traders should combine it with other strategies, such as price action analysis or candlestick patterns, to further confirm their trades. Trend Reversal or Continuation: A weak trend (e.g., a strength of 2 or -2) could signal a possible reversal or a trend that has lost momentum. Strong trends (with a strength of 6 or -6) indicate higher confidence in trend continuation. Multiple Timeframe Confirmation: Look for alignment across multiple timeframes to confirm the strength and direction of the trend before entering trades. For example, if M15, M30, and H1 are all showing a strong uptrend, it suggests a higher probability of the trend continuing. Customization Options - Adjustable Indicators: Users can modify the length and parameters of the Moving Averages, RSI, MACD, Bollinger Bands, DMI, and Parabolic SAR to suit their trading style. - Flexible Timeframes: You can toggle between different timeframes (M15, M30, H1, H4, D1) to focus on the intervals most relevant to your strategy. Ideal For - Traders looking for a detailed, multi-timeframe trend analysis tool for XAUUSD. - Traders who rely on trend-following strategies and need confirmation across multiple timeframes. - Those who prefer a multi-indicator approach to avoid false signals and improve the accuracy of their trades. Disclaimer This indicator is for informational and educational purposes only. It is recommended to combine this with proper risk management strategies and your own analysis. Past performance does not guarantee future results. Always perform your own due diligence before making trading decisions.
Pine Script®指標
由LexAurum提供
2
Buy/Sell IndicatorBuy/Sell Indicator Overview The Buy/Sell Indicator is designed to help traders identify potential entry and exit points in the market using a combination of Simple Moving Averages (SMA) and the Relative Strength Index (RSI). This indicator plots buy and sell signals directly on the chart, making it easier to make informed trading decisions. Inputs Fast MA Length: The period for the fast-moving average. Default is 9. Slow MA Length: The period for the slow-moving average. Default is 21. RSI Length: The period for the RSI calculation. Default is 14. RSI Overbought Level: The RSI level considered overbought. Default is 70. RSI Oversold Level: The RSI level considered oversold. Default is 30. How It Works Moving Averages: The indicator calculates two SMAs: a fast-moving average (fastMA) and a slow-moving average (slowMA). The fast MA reacts more quickly to price changes, while the slow MA reacts more slowly. RSI: The RSI is calculated to measure the momentum of price movements. It helps identify overbought and oversold conditions in the market. Buy and Sell Conditions: Buy Signal: A buy signal is generated when the fast MA crosses above the slow MA and the RSI is below the overbought level. Sell Signal: A sell signal is generated when the fast MA crosses below the slow MA and the RSI is above the oversold level. Plotting Buy Signals: Displayed as green labels below the bars where the buy condition is met. Sell Signals: Displayed as red labels above the bars where the sell condition is met. Moving Averages: The fast MA is plotted in blue, and the slow MA is plotted in orange.
Pine Script®指標
由adamshadid提供
RSI with Swing Trade by Kelvin_VAlgorithm Description: "RSI with Swing Trade by Kelvin_V" 1. Introduction: This algorithm uses the RSI (Relative Strength Index) and optional Moving Averages (MA) to detect potential uptrends and downtrends in the market. The key feature of this script is that it visually changes the candle colors based on the market conditions, making it easier for users to identify potential trend swings or wave patterns. The strategy offers flexibility by allowing users to enable or disable the MA condition. When the MA condition is enabled, the strategy will confirm trends using two moving averages. When disabled, the strategy will only use RSI to detect potential market swings. 2. Key Features of the Algorithm: RSI (Relative Strength Index): The RSI is used to identify potential market turning points based on overbought and oversold conditions. When the RSI exceeds a predefined upper threshold (e.g., 60), it suggests a potential uptrend. When the RSI drops below a lower threshold (e.g., 40), it suggests a potential downtrend. Moving Averages (MA) - Optional: Two Moving Averages (Short MA and Long MA) are used to confirm trends. If the Short MA crosses above the Long MA, it indicates an uptrend. If the Short MA crosses below the Long MA, it indicates a downtrend. Users have the option to enable or disable this MA condition. Visual Candle Coloring: Green candles represent a potential uptrend, indicating a bullish move based on RSI (and MA if enabled). Red candles represent a potential downtrend, indicating a bearish move based on RSI (and MA if enabled). 3. How the Algorithm Works: RSI Levels: The user can set RSI upper and lower bands to represent potential overbought and oversold levels. For example: RSI > 60: Indicates a potential uptrend (bullish move). RSI < 40: Indicates a potential downtrend (bearish move). Optional MA Condition: The algorithm also allows the user to apply the MA condition to further confirm the trend: Short MA > Long MA: Confirms an uptrend, reinforcing a bullish signal. Short MA < Long MA: Confirms a downtrend, reinforcing a bearish signal. This condition can be disabled, allowing the user to focus solely on RSI signals if desired. Swing Trade Logic: Uptrend: If the RSI exceeds the upper threshold (e.g., 60) and (optionally) the Short MA is above the Long MA, the candles will turn green to signal a potential uptrend. Downtrend: If the RSI falls below the lower threshold (e.g., 40) and (optionally) the Short MA is below the Long MA, the candles will turn red to signal a potential downtrend. Visual Representation: The candle colors change dynamically based on the RSI values and moving average conditions, making it easier for traders to visually identify potential trend swings or wave patterns without relying on complex chart analysis. 4. User Customization: The algorithm provides multiple customization options: RSI Length: Users can adjust the period for RSI calculation (default is 4). RSI Upper Band (Potential Uptrend): Users can customize the upper RSI level (default is 60) to indicate a potential bullish move. RSI Lower Band (Potential Downtrend): Users can customize the lower RSI level (default is 40) to indicate a potential bearish move. MA Type: Users can choose between SMA (Simple Moving Average) and EMA (Exponential Moving Average) for moving average calculations. Enable/Disable MA Condition: Users can toggle the MA condition on or off, depending on whether they want to add moving averages to the trend confirmation process. 5. Benefits of the Algorithm: Easy Identification of Trends: By changing candle colors based on RSI and MA conditions, the algorithm makes it easy for users to visually detect potential trend reversals and trend swings. Flexible Conditions: The user has full control over the RSI and MA settings, allowing them to adapt the strategy to different market conditions and timeframes. Clear Visualization: With the candle color changes, users can quickly recognize when a potential uptrend or downtrend is forming, enabling faster decision-making in their trading. 6. Example Usage: Day traders: Can apply this strategy on short timeframes such as 5 minutes or 15 minutes to detect quick trends or reversals. Swing traders: Can use this strategy on longer timeframes like 1 hour or 4 hours to identify and follow larger market swings.
Pine Script®指標
由Kelvin-WyckoffVSA提供
Simplified MA Crossover indicatorThis is my first script, it is really simple logic and you probably saw something similar before. Is a crossover indicator between 2 Moving Average, one fast MA and the second slow MA. Inputs you can adjust: - 8 different source of MA's - lenght of the MA's - 7 different types of MA's ("EMA", "SMA", "RMA", "WMA", "DEMA", "TEMA", "HMA") - 3 smoothing level of the fast MA - plotting fast MA into the chart - plotting crossover triangle shapes I really enjoed the creation of this simple concept indicator, maybe not the fastest because of his nature but I liked work on it. I am sure is a good base to improve, study and try new idea.
Pine Script®指標
由Cinnamon_Bear提供
2
Uptrick: RSI MA Buying/Selling signalsIndicator Purpose: This indicator, titled "Uptrick: RSI MA Buying/Selling signals" or "UpRSIMA," aims to provide buying and selling signals based on the Moving Average (MA) of the Relative Strength Index (RSI). It plots the RSI MA line and highlights whether the RSI MA value is above or below 50, indicating potential bullish or bearish signals, respectively. RSI Calculation: The script calculates the RSI using a user-defined length parameter (default is 14) and a specified source (typically the closing price). It then computes the MA of the RSI using the Recursive Moving Average (RMA) function applied to the RSI values. Color Representation: The color of the RSI MA line is determined based on whether it's above or below the neutral level of 50. If the RSI MA is above 50, indicating potential bullish signals, the color is set to green; otherwise, it's set to red for potential bearish signals. Plotting: The RSI MA line is plotted on the chart with the specified color based on its value relative to 50. Additionally, a horizontal line is drawn at y = 50 to visually represent the neutral level. Histogram bars are also added to visually represent the difference between the RSI MA and the neutral level, with green bars indicating bullish signals and red bars indicating bearish signals. User Interface: The indicator is designed to be used as an overlay on price charts, allowing traders to easily visualize potential buying and selling signals based on RSI MA crossovers and levels relative to 50. Overall, the "Uptrick: RSI MA Buying/Selling signals" indicator offers traders insights into potential trend reversals or continuations based on the moving average of the Relative Strength Index, aiding them in making informed trading decisions.
Pine Script®指標
由Uptrick提供
Volume Analysis*Sourced code from Volume Flow v3 by oh92 for Bull\Bear volume flow calculations. Thank you so much for your engineering skills! This indicator integrates the Ma-over-MA crossover strategy in oh92's V3 DepthHouse calculation with a volume-over-MA calculation to further narrow down "Areas of Interest" levels for a potential re-test zone to the right of the chart. I added a Moving Average calculation for a multi-level cloud and further broke down more conditions to highlight both volume flow crossover on the High and Extreme High MA's and also high and extreme high volume spikes on set period average without bull\bear conditions. Original Bull/Bear Spikes are still viewable although that was the only plot from oh92's script that was integrated. Session backgrounds set for research purposes. Please note: Setting MA Cloud to "None" will remove all plots calculated with the MA Cloud from the chart entirely. Turn off visuals in the Style tab.
Pine Script®指標
由goofoffgoose提供
40
ALMA cross signal by hk4jerry<< ALMA CROSS signal >> *NONE REPAINT STRATEGY* --As a result of testing for a month, using alma does not result in repainting-- --ALMA 크로스 결과는 한달간의 테스트 결과, 리페인팅되지 않습니다-- (ENGLISH description O) ==NOTE== 1. MA 크로스 지표는 잘못된 신호들이 자주 등장합니다. 정확성을 더 높일수 있는 방법은 없을까 고민을 해봤습니다. 더 낮은 가격에 매수하고, 더 높은 가격에서 매도하는 것이 중요했습니다. 우리가 흔히 저점, 고점을 알아내기 위한 지표이자, 선행지표인 RSI를 추가하는 방법을 연구했습니다. 2. 예를 들어, MA 크로스 매수 신호가 발생했을때, rsi값이 50이면 가격이 더 떨어질 가능성이 큽니다. 하지만, rsi값이 30이하인 경우에만 매수 신호가 발생한다면, 그 가격이 저점일 확률이 매우 높아지는 원리 입니다. 3. 신호는 확률입니다. 트레이딩에 100%는 없습니다. 그 확률을 높이는 것은 리스크 관리 입니다. 분할 매수 관점으로 포지션을 잡으시거나, 단기 매매로 가져가시는걸 추천드립니다. ==rsi ma source 설정== 1. 'rsi ma' 값의 소스입니다. 2. 'rsi 길이' 는 값이 클수록 더욱 정확한 시그널이 발생합니다. 3. EMA 길이가 짧을수록 더 많은 시그널이 발생합니다. 그러나, 정확도는 떨어집니다. ==rsi ma 설정== 1. rsi를 source로한 EMA입니다. 2. rsi와 유사한 성격을 가집니다. 3. 'rsi ma' 값이 30이하이면 과매도, 70이상이면 과매수 입니다. 4. ' rsi ma long value' 이 30이면 매수 신호가 rsi ma 값이 30 이하인 경우에만 발생함을 의미 합니다. 5. "rsi ma short value' 가 70이면 매도 신호가 rsi ma 값이 70 이상인 경우에만 발생함을 의미 합니다. ==rsi 설정== 1. 실제 rsi(14,close) 값을 의미합니다. 2. rsi ma value와 비슷한 기능입니다. 3. rsi 길이가 14이므로, 값은 40~50 사이가 적당합니다. 4. 30 또는 70으로 설정할 시, 신호가 거의 발생하지 않습니다. (ENG) ==NOTE== 1. MA cross indicator often shows false signals. I was wondering if there is a way to increase the accuracy further. It was important to buy at a lower price and sell at a higher price. We studied how to add RSI, which is a leading indicator and an indicator to find lows and highs, often. 2. For example, when a buy MA cross signal occurs, if the rsi value is 50, the price is more likely to fall. However, if a buy signal occurs only when the rsi value is below 30, the probability that the price is at the bottom is very high. 3. A signal is a probability. There is no 100% in trading. Increasing that probability is risk management. It is recommended to hold a position from the perspective of a split buy or take it as a short-term trade. ==rsi ma source option== 1. The source of the 'rsi ma' value. 2. The larger the 'rsi length' value, the more accurate the signal is generated. 3. Shorter EMA lengths produce more signals. However, the accuracy is reduced. ==rsi ma options== 1. EMA with rsi as the source. 2. It has similar characteristics to rsi. 3. If the 'rsi ma' value is below 30, it is oversold, and if it is above 70, it is overbought. 4. If 'rsi ma long value' is 30, it means that a buy signal will only occur when the rsi ma value is less than or equal to 30. 5. If "rsi ma short value' is 70, it means that a sell signal will only occur when the rsi ma value is above 70. ==rsi option== 1. It means the actual rsi(14,close) value. 2. This function is similar to rsi ma value. 3. Since the rsi length is 14, a value between 40 and 50 is appropriate. 4. When set to 30 or 70, almost no signal is generated.
Pine Script®指標
由hgkdowk提供
36