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Volatility Stop MTFThis is a multi-timeframe version of our Volatility Stop , an ATR-based trend detector that can be used as a stop. ► Timeframe selection The higher timeframe can be selected using 3 different ways: • By steps (60 min., 1D, 3D, 1W, 1M, 1Y). • As a multiple of the current chart's resolution, which can be fractional, so 3.5 will work. • Fixed. Note that you can also use this indicator without the higher timeframe functionality. It will then behave as our normal Volatility Stop would. ► Stop breaches Two modes of stop-breaching logic can be selected. • In the default, Early Breach mode, the stop is considered breached when a bar at the chart's current resolution breaches the higher timeframe stop. • You may also choose to calculate breaches on the higher timeframe information only. Choosing the Early Breach mode has the advantage of generating faster exits. It will create a state of limbo where the stop has been breached but the Volatility Stop trend has not yet reversed. The impact of detecting earlier exits to minimize losses comes, as is usually the case, at the cost of a compromise: if the stop is breached early in a long trend, the indicator will then spend most of that trend in limbo. Sizeable portions of a trend can thus be missed. A few options are provided when you use Early Breach mode: • A red triangle can identify early breaches (default). • You can color bars or the background to identify limbo states. When in limbo, the color used to plot the indicator's line or shapes will always be darker. ► Alerts Five pre-defined alerts are supplied: • #1: On any trend change. • #2: On changes into an uptrend. • #3: On changes into a downtrend. • #4: Only on breaches of the uptrend by the chart's bars (Early Breach mode). Will not trigger on a trend change. • #5: Only on breaches of the downtrend by the chart's bars (Early Breach mode). Will not trigger on a trend change. As usual, alerts should be configured to trigger Once Per Bar Close . When creating alerts, you will see a warning to the effect that potentially repainting code is used, even if the indicator's default non-repainting mode is active. The warning is normal. ► Other features • You can color bars using the indicator's up/down state. When bars are colored, up bars are more brightly colored. • The HTF line is non-repainting by default, but you can allow it to repaint. • You can confirm the higher timeframe used by displaying it at a selectable distance from the last bar on the chart. • Choice of 2 color themes. • Choice of display as a line, circles, diamonds or arrows. The line can be used with the other shapes. If no line is required, set its thickness to zero. Enjoy! Look first. Then leap.
Pine Script®指標
由TradingView提供
41
How to automate this strategy for free using a chrome extension.Hey everyone, Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep. Step 1: You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol) Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert. Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please. This following script is for the custom alerts: //@version=2 study("4All-Alert", shorttitle="Alerts") src = close len = input(4, minval=1, title="Length") up = rma(max(change(src), 0), len) down = rma(-min(change(src), 0), len) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) rsin = input(5) sn = 100 - rsin ln = 0 + rsin short = crossover(rsi, sn) ? 1 : 0 long = crossunder(rsi, ln) ? 1 : 0 plot(long, "Long", color=green) plot(short, "Short", color=red) Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts. To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close. In the message for a long place this as your message: Long c=order b=short c=position b=short l=200 t=market b=long q=0.01 l=200 t=market tp=13 sl=25 and for the short... Short c=order b=long c=position b=long l=200 t=market b=short q=0.01 l=200 t=market tp=13 sl=25 If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all. I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView. ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts. There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided. Best of luck and happy trading. Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links. www.okcoin.com 1broker.com
Pine Script®策略
由CryptoRox提供
110
Uptrick: Z-Trend BandsOverview Uptrick: Z-Trend Bands is a Pine Script overlay crafted to capture high-probability mean-reversion opportunities. It dynamically plots upper and lower statistical bands around an EMA baseline by converting price deviations into z-scores. Once price moves outside these bands and then reenters, the indicator verifies that momentum is genuinely reversing via an EMA-smoothed RSI slope. Signal memory ensures only one entry per momentum swing, and traders receive clear, real-time feedback through customizable bar-coloring modes, a semi-transparent fill highlighting the statistical zone, concise “Up”/“Down” labels, and a live five-metric scoring table. Introduction Markets often oscillate between trending and reverting, and simple thresholds or static envelopes frequently misfire when volatility shifts. Standard deviation quantifies how “wide” recent price moves have been, and a z-score transforms each deviation into a measure of how rare it is relative to its own history. By anchoring these bands to an exponential moving average, the script maintains a fluid statistical envelope that adapts instantly to both calm and turbulent regimes. Meanwhile, the Relative Strength Index (RSI) tracks momentum; smoothing RSI with an EMA and observing its slope filters out erratic spikes, ensuring that only genuine momentum flips—upward for longs and downward for shorts—qualify. Purpose This indicator is purpose-built for short-term mean-reversion traders operating on lower–timeframe charts. It reveals when price has strayed into the outer 5 percent of its recent range, signaling an increased likelihood of a bounce back toward fair value. Rather than firing on price alone, it demands that momentum follow suit: the smoothed RSI slope must flip in the opposite direction before any trade marker appears. This dual-filter approach dramatically reduces noise-driven, false setups. Traders then see immediate visual confirmation—bar colors that reflect the latest signal and age over time, clear entry labels, and an always-visible table of metric scores—so they can gauge both the validity and freshness of each signal at a glance. Originality and Uniqueness Uptrick: Z-Trend Bands stands apart from typical envelope or oscillator tools in four key ways. First, it employs fully normalized z-score bands, meaning ±2 always captures roughly the top and bottom 5 percent of moves, regardless of volatility regime. Second, it insists on two simultaneous conditions—price reentry into the bands and a confirming RSI slope flip—dramatically reducing whipsaw signals. Third, it uses slope-phase memory to lock out duplicate signals until momentum truly reverses again, enforcing disciplined entries. Finally, it offers four distinct bar-coloring schemes (solid reversal, fading reversal, exceeding bands, and classic heatmap) plus a dynamic scoring table, rather than a single, opaque alert, giving traders deep insight into every layer of analysis. Why Each Component Was Picked The EMA baseline was chosen for its blend of responsiveness—weighting recent price heavily—and smoothness, which filters market noise. Z-score deviation bands standardize price extremes relative to their own history, adapting automatically to shifting volatility so that “extreme” always means statistically rare. The RSI, smoothed with an EMA before slope calculation, captures true momentum shifts without the false spikes that raw RSI often produces. Slope-phase memory flags prevent repeated alerts within a single swing, curbing over-trading in choppy conditions. Bar-coloring modes provide flexible visual contexts—whether you prefer to track the latest reversal, see signal age, highlight every breakout, or view a continuous gradient—and the scoring table breaks down all five core checks for complete transparency. Features This indicator offers a suite of configurable visual and logical tools designed to make reversal signals both robust and transparent: Dynamic z-score bands that expand or contract in real time to reflect current volatility regimes, ensuring the outer ±zThreshold levels always represent statistically rare extremes. A smooth EMA baseline that weights recent price more heavily, serving as a fair-value anchor around which deviations are measured. EMA-smoothed RSI slope confirmation, which filters out erratic momentum spikes by first smoothing raw RSI and then requiring its bar-to-bar slope to flip before any signal is allowed. Slope-phase memory logic that locks out duplicate buy or sell markers until the RSI slope crosses back through zero, preventing over-trading during choppy swings. Four distinct bar-coloring modes—Reversal Solid, Reversal Fade, Exceeding Bands, Classic Heat—plus a “None” option, so traders can choose whether to highlight the latest signal, show signal age, emphasize breakout bars, or view a continuous heat gradient within the bands. A semi-transparent fill between the EMA and the upper/lower bands that visually frames the statistical zone and makes extremes immediately obvious. Concise “Up” and “Down” labels that plot exactly when price re-enters a band with confirming momentum, keeping chart clutter to a minimum. A real-time, five-metric scoring table (z-score, RSI slope, price vs. EMA, trend state, re-entry) that updates every two bars, displaying individual +1/–1/0 scores and an averaged Buy/Sell/Neutral verdict for complete transparency. Calculations Compute the fair-value EMA over fairLen bars. Subtract that EMA from current price each bar to derive the raw deviation. Over zLen bars, calculate the rolling mean and standard deviation of those deviations. Convert each deviation into a z-score by subtracting the mean and dividing by the standard deviation. Plot the upper and lower bands at ±zThreshold × standard deviation around the EMA. Calculate raw RSI over rsiLen bars, then smooth it with an EMA of length rsiEmaLen. Derive the RSI slope by taking the difference between the current and previous smoothed RSI. Detect a potential reentry when price exits one of the bands on the prior bar and re-enters on the current bar. Require that reentry coincide with an RSI slope flip (positive for a lower-band reentry, negative for an upper-band reentry). On first valid reentry per momentum swing, fire a buy or sell signal and set a memory flag; reset that flag only when the RSI slope crosses back through zero. For each bar, assign scores of +1, –1, or 0 for the z-score direction, RSI slope, price vs. EMA, trend-state, and reentry status. Average those five scores; if the result exceeds +0.1, label “Buy,” if below –0.1, label “Sell,” otherwise “Neutral.” Update bar colors, the semi-transparent fill, reversal labels, and the scoring table every two bars to reflect the latest calculations. How It Actually Works On each new candle, the EMA baseline and band widths update to reflect current volatility. The RSI is smoothed and its slope recalculated. The script then looks back one bar to see if price exited either band and forward to see if it reentered. If that reentry coincides with an appropriate RSI slope flip—and no signal has yet been generated in that swing—a concise label appears. Bar colors refresh according to your selected mode, and the scoring table updates to show which of the five conditions passed or failed, along with the overall verdict. This process repeats seamlessly at each bar, giving traders a continuous feed of disciplined, statistically filtered reversal cues. Inputs All parameters are fully user-configurable, allowing you to tailor sensitivity, lookbacks, and visuals to your trading style: EMA length (fairLen): number of bars for the fair-value EMA; higher values smooth more but lag further behind price. Z-Score lookback (zLen): window for calculating the mean and standard deviation of price deviations; longer lookbacks reduce noise but respond more slowly to new volatility. Z-Score threshold (zThreshold): number of standard deviations defining the upper and lower bands; common default is 2.0 for roughly the outer 5 percent of moves. Source (src): choice of price series (close, hl2, etc.) used for EMA, deviation, and RSI calculations. RSI length (rsiLen): period for raw RSI calculation; shorter values react faster to momentum changes but can be choppier. RSI EMA length (rsiEmaLen): period for smoothing raw RSI before taking its slope; higher values filter more noise. Bar coloring mode (colorMode): select from None, Reversal Solid, Reversal Fade, Exceeding Bands, or Classic Heat to control how bars are shaded in relation to signals and band positions. Show signals (showSignals): toggle on-chart “Up” and “Down” labels for reversal entries. Show scoring table (enableTable): toggle the display of the five-metric breakdown table. Table position (tablePos): choose which corner (Top Left, Top Right, Bottom Left, Bottom Right) hosts the scoring table. Conclusion By merging a normalized z-score framework, momentum slope confirmation, disciplined signal memory, flexible visuals, and transparent scoring into one Pine Script overlay, Uptrick: Z-Trend Bands offers a powerful yet intuitive tool for intraday mean-reversion trading. Its adaptability to real-time volatility and multi-layered filter logic deliver clear, high-confidence reversal cues without the clutter or confusion of simpler indicators. Disclaimer This indicator is provided solely for educational and informational purposes. It does not constitute financial advice. Trading involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own testing and apply careful risk management before trading live.
Pine Script®指標
由Uptrick提供
Cumulative Volume Delta with Divergence🧠 Core Functionality: 1. Cumulative Volume Delta (CVD): Purpose: Visualizes the difference between buying and selling pressure over time. Mechanism: It uses lower-timeframe volume delta data, retrieved from ta.requestVolumeDelta(), to build a candle-style visualization of the net volume movement. Plotted candles show whether buying (up volume) or selling (down volume) was dominant within each period. Teal candles: More buying than selling (CVD up). Red candles: More selling than buying (CVD down). Volume Source: Based on intrabar up/down volume approximation from lower timeframes. 🧭 Divergence Detection (New Feature): 2. Regular Bullish Divergence: Condition: Price makes a lower low. CVD (lastVolume) makes a higher low. Interpretation: Selling pressure is weakening despite price making new lows — a potential reversal signal to the upside. Displayed As: Green line and label "Bull" under the CVD at the divergence point. 3. Regular Bearish Divergence: Condition: Price makes a higher high. CVD makes a lower high. Interpretation: Buying pressure is fading despite price rising — a potential reversal signal to the downside. Displayed As: Red line and label "Bear" above the CVD at the divergence point. 🧰 User Controls: Use custom timeframe: Overrides default volume delta resolution for finer or broader analysis. Calculate Divergence: Turns the divergence detection on or off. Adjustable via script inputs. 🔔 Alerts: Two alert conditions are included: One for bullish divergence. One for bearish divergence. Alerts trigger at the bar where the divergence is confirmed, not where it starts. 📈 Use Case: This tool is ideal for traders looking to: Spot early reversals or momentum shifts. Combine volume analysis with price action. Time entries or exits more accurately using volume-confirmed divergence.
Pine Script®指標
由Faneesh17提供
1
Enhanced Volume Trend Indicator with BB SqueezeEnhanced Volume Trend Indicator with BB Squeeze: Comprehensive Explanation The visualization system allows traders to quickly scan multiple securities to identify high-probability setups without detailed analysis of each chart. The progression from squeeze to breakout, supported by volume trend confirmation, offers a systematic approach to identifying trading opportunities. The script combines multiple technical analysis approaches into a comprehensive dashboard that helps traders make informed decisions by identifying high-probability setups while filtering out noise through its sophisticated confirmation requirements. It combines multiple technical analysis approaches into an integrated visual system that helps traders identify potential trading opportunities while filtering out false signals. Core Features 1. Volume Analysis Dashboard The indicator displays various volume-related metrics in customizable tables: AVOL (After Hours + Pre-Market Volume): Shows extended hours volume as a percentage of the 21-day average volume with color coding for buying/selling pressure. Green indicates buying pressure and red indicates selling pressure. Volume Metrics: Includes regular volume (VOL), dollar volume ($VOL), relative volume compared to 21-day average (RVOL), and relative volume compared to 90-day average (RVOL90D). Pre-Market Data: Optional display of pre-market volume (PVOL), pre-market dollar volume (P$VOL), pre-market relative volume (PRVOL), and pre-market price change percentage (PCHG%). 2. Enhanced Volume Trend (VTR) Analysis The Volume Trend indicator uses adaptive analysis to evaluate buying and selling pressure, combining multiple factors: MACD (Moving Average Convergence Divergence) components Volume-to-SMA (Simple Moving Average) ratio Price direction and market conditions Volume change rates and momentum EMA (Exponential Moving Average) alignment and crossovers Volatility filtering VTR Visual Indicators The VTR score ranges from 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. This is visually represented by colored circles: "●" (Filled Circle): Green: Strong bullish trend (VTR ≥ 80) Red: Strong bearish trend (VTR ≤ 20) "◯" (Hollow Circle): Green: Moderate bullish trend (VTR 65-79) Red: Moderate bearish trend (VTR 21-35) "·" (Small Dot): Green: Weak bullish trend (VTR 55-64) Red: Weak bearish trend (VTR 36-45) "○" (Medium Hollow Circle): Neutral conditions (VTR 46-54), shown in gray In "Both" display mode, the VTR shows both the numerical score (0-100) alongside the appropriate circle symbol. Enhanced VTR Settings The Enhanced Volume Trend component offers several advanced customization options: Adaptive Volume Analysis (volTrendAdaptive): When enabled, dynamically adjusts volume thresholds based on recent market volatility Higher volatility periods require proportionally higher volume to generate significant signals Helps prevent false signals during highly volatile markets Keep enabled for most trading conditions, especially in volatile markets Speed of Change Weight (volTrendSpeedWeight, range 0-1): Controls emphasis on volume acceleration/deceleration rather than absolute levels Higher values (0.7-1.0): More responsive to new volume trends, better for momentum trading Lower values (0.2-0.5): Less responsive, better for trend following Helps identify early volume trends before they fully develop Momentum Period (volTrendMomentumPeriod, range 2-10): Defines lookback period for volume change rate calculations Lower values (2-3): More responsive to recent changes, better for short timeframes Higher values (7-10): Smoother, better for daily/weekly charts Directly affects how quickly the indicator responds to new volume patterns Volatility Filter (volTrendVolatilityFilter): Adjusts significance of volume by factoring in current price volatility High volume during high volatility receives less weight High volume during low volatility receives more weight Helps distinguish between genuine volume-driven moves and volatility-driven moves EMA Alignment Weight (volTrendEmaWeight, range 0-1): Controls importance of EMA alignments in final VTR calculation Analyzes multiple EMA relationships (5, 10, 21 period) Higher values (0.7-1.0): Greater emphasis on trend structure Lower values (0.2-0.5): More focus on pure volume patterns Display Mode (volTrendDisplayMode): "Value": Shows only numerical score (0-100) "Strength": Shows only symbolic representation "Both": Shows numerical score and symbol together 3. Bollinger Band Squeeze Detection (SQZ) The BB Squeeze indicator identifies periods of low volatility when Bollinger Bands contract inside Keltner Channels, often preceding significant price movements. SQZ Visual Indicators "●" (Filled Circle): Strong squeeze - high probability setup for an impending breakout Green: Strong squeeze with bullish bias (likely upward breakout) Red: Strong squeeze with bearish bias (likely downward breakout) Orange: Strong squeeze with unclear direction "◯" (Hollow Circle): Moderate squeeze - medium probability setup Green: With bullish EMA alignment Red: With bearish EMA alignment Orange: Without clear directional bias "-" (Dash): Gray dash indicates no squeeze condition (normal volatility) The script identifies squeeze conditions through multiple methods: Bollinger Bands contracting inside Keltner Channels BB width falling to bottom 20% of recent range (BB width percentile) Very narrow Keltner Channel (less than 5% of basis price) Tracking squeeze duration in consecutive bars Different squeeze strengths are detected: Strong Squeeze: BB inside KC with tight BB width and narrow KC Moderate Squeeze: BB inside KC with either tight BB width or narrow KC No Squeeze: Normal market conditions 4. Breakout Detection System The script includes two breakout indicators working in sequence: 4.1 Pre-Breakout (PBK) Indicator Detects potential upcoming breakouts by analyzing multiple factors: Squeeze conditions lasting 2-3 bars or more Significant price ranges Strong volume confirmation EMA/MACD crossovers Consistent price direction PBK Visual Indicators "●" (Filled Circle): Detected pre-breakout condition Green: Likely upward breakout (bullish) Red: Likely downward breakout (bearish) Orange: Direction not yet clear, but breakout likely "-" (Dash): Gray dash indicates no pre-breakout condition The PBK uses sophisticated conditions to reduce false signals including minimum squeeze length, significant price movement, and technical confirmations. 4.2 Breakout (BK) Indicator Confirms actual breakouts in progress by identifying: End of squeeze or strong expansion of Bollinger Bands Volume expansion Price moving outside Bollinger Bands EMA crossovers with volume confirmation MACD crossovers with significant price range BK Visual Indicators "●" (Filled Circle): Confirmed breakout in progress Green: Upward breakout (bullish) Red: Downward breakout (bearish) Orange: Unusual breakout pattern without clear direction "◆" (Diamond): Special breakout conditions (meets some but not all criteria) "-" (Dash): Gray dash indicates no breakout detected The BK indicator uses advanced filters for confirmation: Requires consecutive breakout signals to reduce false positives Strong volume confirmation requirements (40% above average) Significant price movement thresholds Consistency checks between price action and indicators 5. Market Metrics and Analysis Price Change Percentage (CHG%) Displays the current percentage change relative to the previous day's close, color-coded green for positive changes and red for negative changes. Average Daily Range (ADR%) Calculates the average daily percentage range over a specified period (default 20 days), helping traders gauge volatility and set appropriate price targets. Average True Range (ATR) Shows the Average True Range value, a volatility indicator developed by J. Welles Wilder that measures market volatility by decomposing the entire range of an asset price for that period. Relative Strength Index (RSI) Displays the standard 14-period RSI, a momentum oscillator that measures the speed and change of price movements on a scale from 0 to 100. 6. External Market Indicators QQQ Change Shows the percentage change in the Invesco QQQ Trust (tracking the Nasdaq-100 Index), useful for understanding broader tech market trends. UVIX Change Displays the percentage change in UVIX, a volatility index, providing insight into market fear and potential hedging activity. BTC-USD Shows the current Bitcoin price from Coinbase, useful for traders monitoring crypto correlation with equities. Market Breadth (BRD) Calculates the percentage difference between ATHI.US and ATLO.US (high vs. low securities), indicating overall market direction and strength. 7. Session Analysis and Volume Direction Session Detection The script accurately identifies different market sessions: Pre-market: 4:00 AM to 9:30 AM Regular market: 9:30 AM to 4:00 PM After-hours: 4:00 PM to 8:00 PM Closed: Outside trading hours This detection works on any timeframe through careful calculation of current time in seconds. Buy/Sell Volume Direction The script analyzes buying and selling pressure by: Counting up volume when close > open Counting down volume when close < open Tracking accumulated volume within the day Calculating intraday pressure (up volume minus down volume) Enhanced AVOL Calculation The improved AVOL calculation works in all timeframes by: Estimating typical pre-market and after-hours volume percentages Combining yesterday's after-hours with today's pre-market volume Calculating this as a percentage of the 21-day average volume Determining buying/selling pressure by analyzing after-hours and pre-market price changes Color-coding results: green for buying pressure, red for selling pressure This calculation is particularly valuable because it works consistently across any timeframe. Customization Options Display Settings The dashboard has two customizable tables: Volume Table and Metrics Table, with positions selectable as bottom_left or bottom_right. All metrics can be individually toggled on/off: Pre-market data (PVOL, P$VOL, PRVOL, PCHG%) Volume data (AVOL, RVOL Day, RVOL 90D, Volume, SEED_YASHALGO_NSE_BREADTH:VOLUME ) Price metrics (ADR%, ATR, RSI, Price Change%) Market indicators (QQQ, UVIX, Breadth, BTC-USD) Analysis indicators (Volume Trend, BB Squeeze, Pre-Breakout, Breakout) These toggle options allow traders to customize the dashboard to show only the metrics they find most valuable for their trading style. Table and Text Customization The dashboard's appearance can be customized: Table background color via tableBgColor Text color (White or Black) via textColorOption The indicator uses smart formatting for volume and price values, automatically adding appropriate suffixes (K, M, B) for readability. MACD Configuration for VTR The Volume Trend calculation incorporates MACD with customizable parameters: Fast Length: Controls the period for the fast EMA (default 3) Slow Length: Controls the period for the slow EMA (default 9) Signal Length: Controls the period for the signal line EMA (default 5) MACD Weight: Controls how much influence MACD has on the volume trend score (default 0.3) These settings allow traders to fine-tune how momentum is factored into the volume trend analysis. Bollinger Bands and Keltner Channel Settings The Bollinger Bands and Keltner Channels used for squeeze detection have preset (hidden) parameters: BB Length: 20 periods BB Multiplier: 2.0 standard deviations Keltner Length: 20 periods Keltner Multiplier: 1.5 ATR These settings follow standard practice for squeeze detection while maintaining simplicity in the user interface. Practical Trading Applications Complete Trading Strategies 1. Squeeze Breakout Strategy This strategy combines multiple components of the indicator: Wait for a strong squeeze (SQZ showing ●) Look for pre-breakout confirmation (PBK showing ● in green or red) Enter when breakout is confirmed (BK showing ● in same direction) Use VTR to confirm volume supports the move (VTR ≥ 65 for bullish or ≤ 35 for bearish) Set profit targets based on ADR (Average Daily Range) Exit when VTR begins to weaken or changes direction 2. Volume Divergence Strategy This strategy focuses on the volume trend relative to price: Identify when price makes a new high but VTR fails to confirm (divergence) Look for VTR to show weakening trend (● changing to ◯ or ·) Prepare for potential reversal when SQZ begins to form Enter counter-trend position when PBK confirms reversal direction Use external indicators (QQQ, BTC, Breadth) to confirm broader market support 3. Pre-Market Edge Strategy This strategy leverages pre-market data: Monitor AVOL for unusual pre-market activity (significantly above 100%) Check pre-market price change direction (PCHG%) Enter position at market open if VTR confirms direction Use SQZ to determine if volatility is likely to expand Exit based on RVOL declining or price reaching +/- ADR for the day Market Context Integration The indicator provides valuable context for trading decisions: QQQ change shows tech market direction BTC price shows crypto market correlation UVIX change indicates volatility expectations Breadth measurement shows market internals This context helps traders avoid fighting the broader market and align trades with overall market direction. Timeframe Optimization The indicator is designed to work across different timeframes: For day trading: Focus on AVOL, VTR, PBK/BK, and use shorter momentum periods For swing trading: Focus on SQZ duration, VTR strength, and broader market indicators For position trading: Focus on larger VTR trends and use EMA alignment weight Advanced Analytical Components Enhanced Volume Trend Score Calculation The VTR score calculation is sophisticated, with the base score starting at 50 and adjusting for: Price direction (up/down) Volume relative to average (high/normal/low) Volume acceleration/deceleration Market conditions (bull/bear) Additional factors are then applied, including: MACD influence weighted by strength and direction Volume change rate influence (speed) Price/volume divergence effects EMA alignment scores Volatility adjustments Breakout strength factors Price action confirmations The final score is clamped between 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. Anti-False Signal Filters The indicator employs multiple techniques to reduce false signals: Requiring significant price range (minimum percentage movement) Demanding strong volume confirmation (significantly above average) Checking for consistent direction across multiple indicators Requiring prior bar consistency (consecutive bars moving in same direction) Counting consecutive signals to filter out noise These filters help eliminate noise and focus on high-probability setups. MACD Enhancement and Integration The indicator enhances standard MACD analysis: Calculating MACD relative strength compared to recent history Normalizing MACD slope relative to volatility Detecting MACD acceleration for stronger signals Integrating MACD crossovers with other confirmation factors EMA Analysis System The indicator uses a comprehensive EMA analysis system: Calculating multiple EMAs (5, 10, 21 periods) Detecting golden cross (10 EMA crosses above 21 EMA) Detecting death cross (10 EMA crosses below 21 EMA) Assessing price position relative to EMAs Measuring EMA separation percentage Recent Enhancements and Evolution Version 5.2 includes several improvements: Enhanced AVOL to show buying/selling direction through color coding Improved VTR with adaptive analysis based on market conditions AVOL display now works in all timeframes through sophisticated estimation Removed animal symbols and streamlined code with bright colors for better visibility Improved anti-false signal filters throughout the system Optimizing Indicator Settings For Different Market Types Range-Bound Markets: Lower EMA Alignment Weight (0.2-0.4) Higher Speed of Change Weight (0.8-1.0) Focus on SQZ and PBK signals for breakout potential Trending Markets: Higher EMA Alignment Weight (0.7-1.0) Moderate Speed of Change Weight (0.4-0.6) Focus on VTR strength and BK confirmations Volatile Markets: Enable Volatility Filter Enable Adaptive Volume Analysis Lower Momentum Period (2-3) Focus on strong volume confirmation (VTR ≥ 80 or ≤ 20) For Different Asset Classes Equities: Standard settings work well Pay attention to AVOL for gap potential Monitor QQQ correlation Futures: Consider higher Volume/RVOL weight Reduce MACD weight slightly Pay close attention to SQZ duration Crypto: Higher volatility thresholds may be needed Monitor BTC price for correlation Focus on stronger confirmation signals Integrated Visual System for Trading Decisions The colored circle indicators create an intuitive visual system for quick market assessment: Progression Sequence: SQZ (Squeeze) → PBK (Pre-Breakout) → BK (Breakout) This sequence often occurs in order, with the squeeze leading to pre-breakout conditions, followed by an actual breakout. VTR (Volume Trend): Provides context about the volume supporting these movements. Color Coding: Green for bullish conditions, red for bearish conditions, and orange/gray for neutral or undefined conditions.
Pine Script®指標
由tommyttcat提供
[blackcat] L3 Trend BoxOVERVIEW The L3 Trend Box indicator is a sophisticated technical analysis tool designed to assist traders in identifying trends and pinpointing potential entry and exit points within the market. By leveraging multiple moving averages and price level analyses, this indicator provides a detailed view of market dynamics. It plots several key lines and labels directly onto the chart, offering clear visual signals for both bullish and bearish scenarios. Its adaptability through customizable parameters makes it suitable for various trading strategies and market conditions 📊✅. FEATURES Comprehensive Parameter Customization: Tailor the indicator to match specific trading preferences: High Length: Defines the period over which the highest prices are considered. Low Length: Specifies the period for evaluating the lowest prices. Upper Box Length: Smoothes out the upper boundary of the trend box using a specified period. Lower Box Length: Smoothes out the lower boundary of the trend box similarly. Trend Line Length: Determines the period for calculating the overall trend line. Fast EMA Length: Sets the period for the fast-moving exponential moving average (EMA), crucial for capturing short-term movements. MA15 EMA Length: Configures the period for the medium-term moving average (MA15 EMA) to provide a balanced perspective. Short Spirit Length: Influences how quickly the indicator responds to recent price changes. Golden EMA Length: Fine-tunes the long-term EMA for stability and reliability. Buy Price Length: Establishes the lookback period for determining optimal buy prices. Var1 Length & Var2 Length: Adjusts periods for variance calculations, enhancing the accuracy of trend detection. Detailed Chart Plots: Upper Box Top: A fuchsia-colored line representing the smoothed highest prices, marking resistance levels. Lower Box Bottom: A green-colored line showing the smoothed lowest prices, highlighting support zones. MA15 Up/Down: Dynamic red and green lines illustrating the directionality of the 15-period EMA, helping gauge momentum shifts. Conditional Plots: Multiple lines based on intricate price actions and computed values, such as closing below the lower box while also closing at or above/below the opening price, ensuring nuanced insights into market behavior. Buy/Sell Labels: Clearly marked 'Buy' and 'Sell' labels positioned strategically on the chart, facilitating quick decision-making without missing critical signals 🎯. Alert System: Automatically generates alerts based on predefined buy and sell conditions, enabling timely responses to market changes 🛎️. HOW TO USE Adding the Indicator: Start by adding the L3 Trend Box to your TradingView chart via the indicators menu. Parameter Configuration: Adjust each parameter according to your trading style and market volatility. For instance, increasing the High Length can make the indicator less sensitive to minor fluctuations but more responsive to significant trends. Monitoring Signals: Keep an eye on the plotted lines and labels. Pay special attention to the crossover events between the fast EMA and the lower box bottom, as these often signify strong buy signals. Setting Alerts: Configure alerts based on the buy/sell conditions provided by the indicator. This ensures you never miss an opportunity due to inattention. Combining Strategies: While powerful on its own, combining this indicator with others like RSI or Bollinger Bands can enhance its predictive power and reduce false positives. LIMITATIONS Market Volatility: In extremely volatile or sideways-trending markets, the indicator might produce false signals. Always verify with additional confirmations. Asset-Specific Performance: Different assets and timeframes will yield varying results; thorough backtesting across diverse instruments is recommended. Over-Reliance Risk: Avoid relying solely on this indicator. Integrate it into a broader analytical framework that includes fundamental analysis and other technical indicators. NOTES Data Sufficiency: Ensure ample historical data is available for precise computations. Lack of data can skew results and lead to inaccurate signals. Demo Testing: Before deploying the indicator in real trades, rigorously test it on demo accounts under varied market conditions to understand its strengths and weaknesses. Customization Flexibility: Feel free to tweak the parameters continuously until they align perfectly with your unique trading approach and risk tolerance.
Pine Script®指標
由blackcat1402提供
Session Coloring Bar with ICT Macro [dani]The Session Coloring Bar is customizable Pine Script indicator designed to visually enhance your charts by applying unique colors to specific trading sessions or timeframes. This tool allows traders to easily identify and differentiate between macro sessions (e.g., 24-hour cycles) and custom-defined sessions (e.g., Session A, Session B), making it ideal for analyzing market activity during specific periods. In the context of trading, the term "ICT Macro" , as discussed by Michael J. Huddleston (ICT), refers to specific timeframes or "windows" where market behavior often follows predictable patterns. Traders typically focus on the last 10 minutes of an hour and the first 10 minutes of the next hour (e.g., 0150-0210 , 0050-0110 , or 0950-1010 ) to identify key price movements, liquidity shifts, or market inefficiencies. This script highlights these macro timeframes, enabling traders to visually analyze price action during these critical periods. Use this tool to support your strategy, but always combine it with your own analysis and risk management. With this indicator, you can: Highlight Macro Sessions : Automatically color bars based on predefined 24-hour macro sessions. Customize Session Settings : Define up to three custom sessions (A & B) with individual start/end times, visibility toggles, and unique bar colors. Timeframe Filtering : Hide session coloring above a specified timeframe to avoid clutter on higher timeframes. Personal Notes : Add comments to each session for better organization and quick reference. Dynamic Color Logic : Bars are colored based on their direction (up, down, or neutral) within the active session. How to Use: Enable/Disable Sessions : Use the Show Coloring toggle to enable or disable session coloring for Macro, Session A, Session B, or Session C. Set Session Times : Define the start and end times for each session in the format HHMM-HHMM (e.g., 1600-0930 for an overnight session). Choose Colors : Assign unique colors for upward (Bar Up) and downward (Bar Down) bars within each session. Adjust Timeframe Visibility : Use the Hide above this TF input to specify the maximum timeframe where session coloring will be visible. Add Notes : Use the Comment field to add personal notes or labels for each session. Example Use Cases: Overnight Sessions : Highlight overnight trading hours (e.g., 1600-0930) to analyze price action during low liquidity periods. Asian/European/US Sessions : Define separate sessions for major trading regions to track regional market behavior. Macro Analysis : Use the predefined 24-hour macro sessions to study hourly price movements across a full trading day. Disclaimer: The Session Coloring Bar is not a trading signal generator and does not predict market direction or provide buy/sell signals. Instead, it is a visualization tool designed to help you identify and analyze specific trading sessions or timeframes on your chart. By highlighting key sessions and their corresponding price movements, this indicator enables you to focus on periods of interest and make more informed trading decisions. Thank you for choosing this indicator! I hope it becomes a valuable part of your trading toolkit. Remember, trading is a journey, and having the right tools can make all the difference. Whether you're a seasoned trader or just starting out, this indicator is designed to help you stay organized and focused on what matters most—price action. Happy trading, and may your charts be ever in your favor! 😊
Pine Script®指標
由DreamyDans提供
1
Gaussian Smooth Trend | QuantEdgeB🧠 Introducing Gaussian Smooth Trend (GST) by QuantEdgeB 🛠️ Overview Gaussian Smooth Trend (GST) is an advanced volatility-filtered trend-following system that blends multiple smoothing techniques into a single directional bias tool. It is purpose-built to reduce noise, isolate meaningful price shifts, and deliver early trend detection while dynamically adapting to market volatility. GST leverages the Gaussian filter as its core engine, wrapped in a layered framework of DEMA smoothing, SMMA signal tracking, and standard deviation-based breakout thresholds, producing a powerful toolset for trend confirmation and momentum-based decision-making. 🔍 How It Works 1️⃣ DEMA Smoothing Engine The indicator begins by calculating a Double Exponential Moving Average (DEMA), which provides a responsive and noise-resistant base input for subsequent filtering. 2️⃣ Gaussian Filter A custom Gaussian kernel is applied to the DEMA signal, allowing the system to detect smooth momentum shifts while filtering out short-term volatility. This is especially powerful during low-volume or sideways markets where traditional MAs struggle. 3️⃣ SMMA Layer with Z-Filtering The filtered Gaussian signal is then passed through a custom Smoothed Moving Average (SMMA). A standard deviation envelope is constructed around this SMMA, dynamically expanding/contracting based on market volatility. 4️⃣ Signal Generation • ✅ Long Signal: Price closes above Upper SD Band • ❌ Short Signal: Price closes below Lower SD Band • ➖ No trade: Price stays within the band → market indecision ✨ Key Features 🔹 Multi-Stage Trend Detection Combines DEMA → Gaussian Kernel → SMMA → SD Bands for robust signal integrity across market conditions. 🔹 Gaussian Adaptive Filtering Applies a tunable sigma parameter for the Gaussian kernel, enabling you to fine-tune smoothness vs. responsiveness. 🔹 Volatility-Aware Trend Zones Price must close outside of dynamic SD envelopes to trigger signals — reducing whipsaws and increasing signal quality. 🔹 Dynamic Color-Coded Visualization Candle coloring and band fills reflect live trend state, making the chart intuitive and fast to read. ⚙️ Custom Settings • DEMA Source: Price stream used for smoothing (default: close) • DEMA Length: Period for initial exponential smoothing (default: 7) • Gaussian Length / Sigma: Controls smoothing strength of kernel filter • SMMA Length: Final smoothing layer (default: 12) • SD Length: Lookback period for standard deviation filtering (default: 30) • SD Mult Up / Down: Adjusts distance of upper/lower breakout zones (default: 2.5 / 1.8) • Color Modes: Six distinct color palettes (e.g., Strategy, Warm, Cool) • Signal Labels: Toggle on/off entry markers ("𝓛𝓸𝓷𝓰", "𝓢𝓱𝓸𝓻𝓽") 📌 Trading Applications ✅ Trend-Following → Enter on confirmed breakouts from Gaussian-smoothed volatility zones ✅ Breakout Validation → Use SD bands to avoid false breakouts during chop ✅ Volatility Compression Monitoring → Narrowing bands often precede large directional moves ✅ Overlay-Based Confirmation → Can complement other QuantEdgeB indicators like K-DMI, BMD, or Z-SMMA 📌 Conclusion Gaussian Smooth Trend (GST) delivers a precision-built trend model tailored for modern traders who demand both clarity and control. The layered signal architecture, combined with volatility awareness and Gaussian signal enhancement, ensures accurate entries, clean visualizations, and actionable trend structure — all in real-time. 🔹 Summary Highlights 1️⃣ Multi-stage Smoothing — DEMA → Gaussian → SMMA for deep signal integrity 2️⃣ Volatility-Aware Filtering — SD bands prevent false entries 3️⃣ Visual Trend Mapping — Gradient fills + candle coloring for clean charts 4️⃣ Highly Customizable — Adapt to your timeframe, style, and volatility 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script®指標
由QuantEdgeB提供
ZigZag█ Overview This Pine Script™ library provides a comprehensive implementation of the ZigZag indicator using advanced object-oriented programming techniques. It serves as a developer resource rather than a standalone indicator, enabling Pine Script™ programmers to incorporate sophisticated ZigZag calculations into their own scripts. Pine Script™ libraries contain reusable code that can be imported into indicators, strategies, and other libraries. For more information, consult the Libraries section of the Pine Script™ User Manual. █ About the Original This library is based on TradingView's official ZigZag implementation . The original code provides a solid foundation with user-defined types and methods for calculating ZigZag pivot points. █ What is ZigZag? The ZigZag indicator filters out minor price movements to highlight significant market trends. It works by: 1. Identifying significant pivot points (local highs and lows) 2. Connecting these points with straight lines 3. Ignoring smaller price movements that fall below a specified threshold Traders typically use ZigZag for: - Trend confirmation - Identifying support and resistance levels - Pattern recognition (such as Elliott Waves) - Filtering out market noise The algorithm identifies pivot points by analyzing price action over a specified number of bars, then only changes direction when price movement exceeds a user-defined percentage threshold. █ My Enhancements This modified version extends the original library with several key improvements: 1. Support and Resistance Visualization - Adds horizontal lines at pivot points - Customizable line length (offset from pivot) - Adjustable line width and color - Option to extend lines to the right edge of the chart 2. Support and Resistance Zones - Creates semi-transparent zone areas around pivot points - Customizable width for better visibility of important price levels - Separate colors for support (lows) and resistance (highs) - Visual representation of price areas rather than just single lines 3. Zig Zag Lines - Separate colors for upward and downward ZigZag movements - Visually distinguishes between bullish and bearish price swings - Customizable colors for text - Width customization 4. Enhanced Settings Structure - Added new fields to the Settings type to support the additional features - Extended Pivot type with supportResistance and supportResistanceZone fields - Comprehensive configuration options for visual elements These enhancements make the ZigZag more useful for technical analysis by clearly highlighting support/resistance levels and zones, and providing clearer visual cues about market direction. █ Technical Implementation This library leverages Pine Script™'s user-defined types (UDTs) to create a robust object-oriented architecture: - Settings : Stores configuration parameters for calculation and display - Pivot : Represents pivot points with their visual elements and properties - ZigZag : Manages the overall state and behavior of the indicator The implementation follows best practices from the Pine Script™ User Manual's Style Guide and uses advanced language features like methods and object references. These UDTs represent Pine Script™'s most advanced feature set, enabling sophisticated data structures and improved code organization. For newcomers to Pine Script™, it's recommended to understand the language fundamentals before working with the UDT implementation in this library. █ Usage Example //@version=6 indicator("ZigZag Example", overlay = true, shorttitle = 'ZZA', max_bars_back = 5000, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500) import andre_007/ZigZag/1 as ZIG var group_1 = "ZigZag Settings" //@variable Draw Zig Zag on the chart. bool showZigZag = input.bool(true, "Show Zig-Zag Lines", group = group_1, tooltip = "If checked, the Zig Zag will be drawn on the chart.", inline = "1") // @variable The deviation percentage from the last local high or low required to form a new Zig Zag point. float deviationInput = input.float(5.0, "Deviation (%)", minval = 0.00001, maxval = 100.0, tooltip = "The minimum percentage deviation from a previous pivot point required to change the Zig Zag's direction.", group = group_1, inline = "2") // @variable The number of bars required for pivot detection. int depthInput = input.int(10, "Depth", minval = 1, tooltip = "The number of bars required for pivot point detection.", group = group_1, inline = "3") // @variable registerPivot (series bool) Optional. If `true`, the function compares a detected pivot // point's coordinates to the latest `Pivot` object's `end` chart point, then // updates the latest `Pivot` instance or adds a new instance to the `ZigZag` // object's `pivots` array. If `false`, it does not modify the `ZigZag` object's // data. The default is `true`. bool allowZigZagOnOneBarInput = input.bool(true, "Allow Zig Zag on One Bar", tooltip = "If checked, the Zig Zag calculation can register a pivot high and pivot low on the same bar.", group = group_1, inline = "allowZigZagOnOneBar") var group_2 = "Display Settings" // @variable The color of the Zig Zag's lines (up). color lineColorUpInput = input.color(color.green, "Line Colors for Up/Down", group = group_2, inline = "4") // @variable The color of the Zig Zag's lines (down). color lineColorDownInput = input.color(color.red, "", group = group_2, inline = "4", tooltip = "The color of the Zig Zag's lines") // @variable The width of the Zig Zag's lines. int lineWidthInput = input.int(1, "Line Width", minval = 1, tooltip = "The width of the Zig Zag's lines.", group = group_2, inline = "w") // @variable If `true`, the Zig Zag will also display a line connecting the last known pivot to the current `close`. bool extendInput = input.bool(true, "Extend to Last Bar", tooltip = "If checked, the last pivot will be connected to the current close.", group = group_1, inline = "5") // @variable If `true`, the pivot labels will display their price values. bool showPriceInput = input.bool(true, "Display Reversal Price", tooltip = "If checked, the pivot labels will display their price values.", group = group_2, inline = "6") // @variable If `true`, each pivot label will display the volume accumulated since the previous pivot. bool showVolInput = input.bool(true, "Display Cumulative Volume", tooltip = "If checked, the pivot labels will display the volume accumulated since the previous pivot.", group = group_2, inline = "7") // @variable If `true`, each pivot label will display the change in price from the previous pivot. bool showChgInput = input.bool(true, "Display Reversal Price Change", tooltip = "If checked, the pivot labels will display the change in price from the previous pivot.", group = group_2, inline = "8") // @variable Controls whether the labels show price changes as raw values or percentages when `showChgInput` is `true`. string priceDiffInput = input.string("Absolute", "", options = , tooltip = "Controls whether the labels show price changes as raw values or percentages when 'Display Reversal Price Change' is checked.", group = group_2, inline = "8") // @variable If `true`, the Zig Zag will display support and resistance lines. bool showSupportResistanceInput = input.bool(true, "Show Support/Resistance Lines", tooltip = "If checked, the Zig Zag will display support and resistance lines.", group = group_2, inline = "9") // @variable The number of bars to extend the support and resistance lines from the last pivot point. int supportResistanceOffsetInput = input.int(50, "Support/Resistance Offset", minval = 0, tooltip = "The number of bars to extend the support and resistance lines from the last pivot point.", group = group_2, inline = "10") // @variable The width of the support and resistance lines. int supportResistanceWidthInput = input.int(1, "Support/Resistance Width", minval = 1, tooltip = "The width of the support and resistance lines.", group = group_2, inline = "11") // @variable The color of the support lines. color supportColorInput = input.color(color.red, "Support/Resistance Color", group = group_2, inline = "12") // @variable The color of the resistance lines. color resistanceColorInput = input.color(color.green, "", group = group_2, inline = "12", tooltip = "The color of the support/resistance lines.") // @variable If `true`, the support and resistance lines will be drawn as zones. bool showSupportResistanceZoneInput = input.bool(true, "Show Support/Resistance Zones", tooltip = "If checked, the support and resistance lines will be drawn as zones.", group = group_2, inline = "12-1") // @variable The color of the support zones. color supportZoneColorInput = input.color(color.new(color.red, 70), "Support Zone Color", group = group_2, inline = "12-2") // @variable The color of the resistance zones. color resistanceZoneColorInput = input.color(color.new(color.green, 70), "", group = group_2, inline = "12-2", tooltip = "The color of the support/resistance zones.") // @variable The width of the support and resistance zones. int supportResistanceZoneWidthInput = input.int(10, "Support/Resistance Zone Width", minval = 1, tooltip = "The width of the support and resistance zones.", group = group_2, inline = "12-3") // @variable If `true`, the support and resistance lines will extend to the right of the chart. bool supportResistanceExtendInput = input.bool(false, "Extend to Right", tooltip = "If checked, the lines will extend to the right of the chart.", group = group_2, inline = "13") // @variable References a `Settings` instance that defines the `ZigZag` object's calculation and display properties. var ZIG.Settings settings = ZIG.Settings.new( devThreshold = deviationInput, depth = depthInput, lineColorUp = lineColorUpInput, lineColorDown = lineColorDownInput, textUpColor = lineColorUpInput, textDownColor = lineColorDownInput, lineWidth = lineWidthInput, extendLast = extendInput, displayReversalPrice = showPriceInput, displayCumulativeVolume = showVolInput, displayReversalPriceChange = showChgInput, differencePriceMode = priceDiffInput, draw = showZigZag, allowZigZagOnOneBar = allowZigZagOnOneBarInput, drawSupportResistance = showSupportResistanceInput, supportResistanceOffset = supportResistanceOffsetInput, supportResistanceWidth = supportResistanceWidthInput, supportColor = supportColorInput, resistanceColor = resistanceColorInput, supportResistanceExtend = supportResistanceExtendInput, supportResistanceZoneWidth = supportResistanceZoneWidthInput, drawSupportResistanceZone = showSupportResistanceZoneInput, supportZoneColor = supportZoneColorInput, resistanceZoneColor = resistanceZoneColorInput ) // @variable References a `ZigZag` object created using the `settings`. var ZIG.ZigZag zigZag = ZIG.newInstance(settings) // Update the `zigZag` on every bar. zigZag.update() //#endregion The example code demonstrates how to create a ZigZag indicator with customizable settings. It: 1. Creates a Settings object with user-defined parameters 2. Instantiates a ZigZag object using these settings 3. Updates the ZigZag on each bar to detect new pivot points 4. Automatically draws lines and labels when pivots are detected This approach provides maximum flexibility while maintaining readability and ease of use.
Pine Script®腳本庫
由andre_007提供
12
Auto TrendLines [TradingFinder] Support Resistance Signal Alerts🔵 Introduction The trendline is one of the most essential tools in technical analysis, widely used in financial markets such as Forex, cryptocurrency, and stocks. A trendline is a straight line that connects swing highs or swing lows and visually indicates the market’s trend direction. Traders use trendlines to identify price structure, the strength of buyers and sellers, dynamic support and resistance zones, and optimal entry and exit points. In technical analysis, trendlines are typically classified into three categories: uptrend lines (drawn by connecting higher lows), downtrend lines (formed by connecting lower highs), and sideways trends (moving horizontally). A valid trendline usually requires at least three confirmed touchpoints to be considered reliable for trading decisions. Trendlines can serve as the foundation for a variety of trading strategies, such as the trendline bounce strategy, valid breakout setups, and confluence-based analysis with other tools like candlestick patterns, divergences, moving averages, and Fibonacci levels. Additionally, trendlines are categorized into internal and external, and further into major and minor levels, each serving unique roles in market structure analysis. 🔵 How to Use Trendlines are a key component in technical analysis, used to identify market direction, define dynamic support and resistance zones, highlight strategic entry and exit points, and manage risk. For a trendline to be reliable, it must be drawn based on structural principles—not by simply connecting two arbitrary points. 🟣 Selecting Pivot Types Based on Trend Direction The first step is to determine the market trend: uptrend, downtrend, or sideways. Then, choose pivot points that match the trend type : In an uptrend, trendlines are drawn by connecting low pivots, especially higher lows. In a downtrend, trendlines are formed by connecting high pivots, specifically lower highs. It is crucial to connect pivots of the same type and structure to ensure the trendline is valid and analytically sound. 🟣 Pivot Classification This indicator automatically classifies pivot points into two categories : Major Pivots : MLL : Major Lower Low MHL : Major Higher Low MHH : Major Higher High MLH : Major Lower High These define the primary structure of the market and are typically used in broader structural analysis. Minor Pivots : mLL: minor Lower Low mHL: minor Higher Low mHH: minor Higher High mLH: minor Lower High These are used for drawing more precise trendlines within corrective waves or internal price movements. Example : In a downtrend, drawing a trendline from an MHH to an mHH creates structural inconsistency and introduces noise. Instead, connect points like MHL to MHL or mLH to mLH for a valid trendline. 🟣 Drawing High-Precision Trendlines To ensure a reliable trendline : Use pivots of the same classification (Major with Major or Minor with Minor). Ensure at least three valid contact points (three touches = structural confirmation). Draw through candles with the least deviation (choose wicks or bodies based on confluence). Preferably draw from right to left for better alignment with current market behavior. Use parallel lines to turn a single trendline into a trendline zone, if needed. 🟣 Using Trendlines for Trade Entries Bounce Entry: When price approaches the trendline and shows signs of reversal (e.g., a reversal candle, divergence, or support/resistance), enter in the direction of the trend with a logical stop-loss. Breakout Entry: When price breaks through the trendline with strong momentum and a confirmation (such as a retest or break of structure), consider trading in the direction of the breakout. 🟣 Trendline-Based Risk Management For bounce entries, the stop-loss is placed below the trendline or the last pivot low (in an uptrend). For breakout entries, the stop-loss is set behind the breakout candle or the last structural level. A broken trendline can also act as an exit signal from a trade. 🟣 Combining Trendlines with Other Tools (Confluence) Trendlines gain much more strength when used alongside other analytical tools : Horizontal support and resistance levels Moving averages (such as EMA 50 or EMA 200) Fibonacci retracement zones Candlestick patterns (e.g., Engulfing, Pin Bar) RSI or MACD divergences Market structure breaks (BoS / ChoCH) 🔵 Settings Pivot Period : This defines how sensitive the pivot detection is. A higher number means the algorithm will identify more significant pivot points, resulting in longer-term trendlines. Alerts Alert : Enable or disable the entire alert system Set a custom alert name Choose how often alerts trigger (every time, once per bar, or on bar close) Select the time zone for alert timestamps (e.g., UTC) Each trendline type supports two alert types : Break Alert : Triggered when price breaks the trendline React Alert : Triggered when price reacts or bounces off the trendline These alerts can be independently enabled or disabled for all trendline categories (Major/Minor, Internal/External, Up/Down). Display : For each of the eight trendline types, you can control : Whether to show or hide the line Whether to delete the previous line when a new one is drawn Color, line style (solid, dashed, dotted), extension direction (e.g., right only), and width Major lines are typically thicker and more opaque, while minor lines appear thinner and more transparent. All settings are designed to give the user full control over the appearance, behavior, and alert system of the indicator, without requiring manual drawing or adjustments. 🔵 Conclusion A trendline is more than just a line on the chart—it is a structural, strategic, and flexible tool in technical analysis that can serve as the foundation for understanding price behavior and making trading decisions. Whether in trending markets or during corrections, trendlines help traders identify market direction, key zones, and high-potential entry and exit points with precision. The accuracy and effectiveness of a trendline depend on using structurally valid pivot points and adhering to proper market logic, rather than relying on guesswork or personal bias. This indicator is built to solve that exact problem. It automatically detects and draws multiple types of trendlines based on actual price structure, separating them into Major/Minor and Internal/External categories, and respecting professional analytical principles such as pivot type, trend direction, and structural location.
Pine Script®指標
由TFlab提供
7
Session Profile AnalyzerWhat’s This Thing Do? Hey there, trader! Meet the Session Profile Analyzer (SPA) your new go-to pal for breaking down market action within your favorite trading sessions. It’s an overlay indicator that mixes Rotation Factor (RF), Average Subperiod Range (ASPR), Volume Value Area Range (VOLVAR), and TPO Value Area Range (TPOVAR) into one tidy little toolkit. Think of it as your market vibe checker momentum, volatility, and key levels, all served up with a grin. The Cool Stuff It Does: Rotation Factor (RF) : Keeps tabs on whether the market’s feeling bullish, bearish, or just chilling. It’s like a mood ring for price action shows “UP ↑,” “DOWN ↓,” or “NONE ↔.” ASPR : Averages out the range of your chosen blocks. Big swings? Tiny wiggles? This tells you the session’s energy level. VOLVAR : Dives into volume to find where the action’s at, with a smart twist it adjusts price levels based on the session’s size and tiny timeframe moves (capped at 128 so your chart doesn’t cry). TPOVAR : Grabs lower timeframe data to spot where price hung out the most, TPO-style. Value zones, anyone? Dynamic Precision : No ugly decimal overload SPA matches your asset’s style (2 decimals for BTC, 5 for TRX, you get it). How to Play With It: Session Start/End : Pick your trading window (say, 0930-2200) and a timezone (America/New_York, or wherever you’re at). Block Size : Set the chunk size for RF and ASPR like 30M if you’re into half-hour vibes. Value Area Timeframe : Go micro with something like 1S for VOLVAR and TPOVAR precision. Label : Size it (small to huge), color it (white, neon pink, whatever), and slap it where you want (start, mid, end). How It All Works (No PhD Required): RF : Imagine breaking your session into blocks (via Block Size). For each block, SPA checks if the high beats the last high (+1) or not (0), and if the low dips below the last low (-1) or not (0). Add those up, and boom positive RF means upward vibes, negative means downward, near zero is “meh.” Use it to catch trends or spot when the market’s napping. ASPR : Takes those same blocks, measures high-to-low range each time, and averages them. It’s your volatility pulse big ASPR = wild ride, small ASPR = snooze fest. Great for sizing up session action. VOLVAR : Here’s the fun part. It takes the session’s full range (high minus low), divides it by the average range of your tiny Value Area Timeframe bars (e.g., 1S), and picks a sensible number of price levels capped at 128 so it doesn’t overthink. Then it bins volume into those levels, finds the busiest price (POC), and grows a 70% value area around it. Perfect for spotting where the big players parked their cash. TPOVAR : Grabs midpoints from those tiny timeframe bars, sorts them, and snips off the top and bottom 15% to find the 70% “value zone” where price chilled the most. Think of it as the market’s comfort zone great for support/resistance hunting. Why You’ll Like It: Whether you’re scalping crypto, swinging forex, or dissecting stocks, SPA’s got your back. Use RF to catch momentum shifts like jumping on an “UP ↑” trend or fading a “DOWN ↓” exhaustion. ASPR’s your secret weapon for sizing up trades: a big ASPR (say, 100 on BTC) means you can aim for juicy targets (like 1-2x ASPR) or set invalidations tight when it’s tiny (e.g., 0.001 on TRX) to dodge chop. VOLVAR and TPOVAR are your level-finders nail those key zones where price loves to bounce or break, perfect for entries, stops, or profit grabs. It’s like having a trading co-pilot who’s chill but knows their stuff. Heads-Up: Load enough history for those micro timeframes to shine (1S needs some bars to work with). Keeps things light won’t bog down your chart even with decent-sized sessions. Let’s Roll: Slap SPA on your chart, tweak it to your style, and watch it spill the beans on your session. Happy trading, fam may your pips be plenty and your losses few!
Pine Script®指標
由mindyourbuisness提供
Markov + Monte Carlo Simulation with EVMarkov Monte Carlo Projection (MMCP) – A Probabilistic Approach to Price Forecasting Introduction: A New Approach to Price Projection The Markov Monte Carlo Projection (MMCP) is an advanced stochastic forecasting tool that models potential future price paths using a combination of Markov Chain transition probabilities and Monte Carlo simulations. Unlike traditional technical indicators that rely on fixed formulas, MMCP employs probability distributions and simulated price movement paths to estimate future price behavior dynamically. This indicator is designed to adapt to changing market conditions and provides traders with a probabilistic framework rather than a fixed forecast. By incorporating volatility modeling, MMCP enables traders to size projections proportionally to recent price action, making it an adaptive and flexible forecasting tool. Mathematical Foundations Markov Chains: Modeling Probability of Price Movements A Markov Chain is a stochastic process where the probability of transitioning to the next state depends only on the current state and not on past states (i.e., it is memoryless). For price movement, MMCP analyzes the past N bars (set by the lookback window) to determine the transition probabilities of price moving up, down, or remaining the same based on past behavior: Pup=Number of Up MovesTotal Moves Pup​=Total MovesNumber of Up Moves​ Pdown=Number of Down MovesTotal Moves Pdown​=Total MovesNumber of Down Moves​ Psame=1−(Pup+Pdown) Psame​=1−(Pup​+Pdown​) These probabilities guide how future price movements are simulated, ensuring that projections reflect historical price behavior tendencies. Monte Carlo Simulations: Generating Possible Futures Monte Carlo simulations involve running many random trials to estimate possible outcomes. Each trial simulates a future price path by: Randomly selecting a direction based on the Markov probabilities Pup,Pdown,PsamePup​,Pdown​,Psame​. Determining the magnitude of the price movement using a normally distributed volatility model. Iterating this process across multiple forecast bars to simulate a range of potential price paths. This process does not predict a single outcome, but rather generates a probability-weighted range of future price possibilities. Volatility Modeling: Scaling Movements Proportionally Why We Use Standard Deviation (σσ) Price movement is inherently volatile, and the magnitude of price shifts must be scaled relative to recent volatility. MMCP calculates rolling price returns and then derives the standard deviation of those returns: σ=stdev(price returns,lookback) σ=stdev(price returns,lookback) The Volatility Multiplier allows users to adjust the impact of this volatility on projected movements. This makes the indicator adaptive to different asset price ranges. Key User Adjustments 1. Volatility Multiplier – Tuning Projections for Different Assets The scale of the Volatility Multiplier must be tuned for each asset because it is relative to the magnitude of price action. For example: Low-priced assets (e.g., $2.50 stocks) → A multiplier of 0.1 works best. Mid-priced assets (e.g., $250 stocks) → A multiplier of 3 works best. High-priced assets (e.g., Bitcoin) → A multiplier of 1000 works best. 🔹 If projections seem too extreme, decrease the multiplier. 🔹 If projections seem too flat, increase the multiplier. The Volatility Multiplier can also be fine-tuned to make the projected signal proportionate to the immediately preceding price action. 2. Expected Value (EV) Path – Analyzing Aggregate Future Probabilities The EV Line is a computed average of all simulated paths, giving traders an expected mean trajectory. If you find that the EV Line is not visible, try increasing the volatility multiplier to make it more pronounced. 3. Projection Inversion – Enhancing Analysis with Paired Indicators A unique feature of MMCP is the projection inversion toggle, designed to allow traders to run multiple instances of the indicator in tandem. When one instance is set to normal projection and another to inverted projection, traders can pair them together using identical settings (except inversion). This setup allows for a mirrored probability perspective and enhances visualizing volatility dynamics. Additionally, traders can use multiple sets of paired indicators, each with a different lookback window, to build a multi-layered, probability-driven market visualization. This dynamic approach provides an evolving structure of probable price movement in different time frames, offering deeper insights into potential market conditions. How MMCP Works in Real-Time Each new bar triggers a fresh Monte Carlo simulation, meaning that projections organically evolve with the market. This ensures that MMCP is always responding to current conditions, rather than applying static assumptions. How to Use MMCP in Trading ✔ Identifying Potential Reversal & Continuation Zones If most Monte Carlo paths project upward, bullish momentum is likely. If most Monte Carlo paths project downward, bearish momentum is likely. The Expected Value (EV) Line can help confirm the most probable trajectory. ✔ Analyzing Market Sentiment in Real Time Use multiple instances of MMCP with different lookback windows to capture short-term vs. long-term sentiment. Enable projection inversion to analyze potential mirrored moves. ✔ Fine-Tuning MMCP for Your Strategy Adjust the Volatility Multiplier to match the price scale of your asset. Increase the number of simulations to improve statistical robustness. Use shorter lookback windows for more responsive predictions, or longer windows for more stable forecasts. Why MMCP is a Game-Changer ✅ Dynamic & Probabilistic – Unlike fixed indicators, MMCP adapts in real-time. ✅ Fully Stochastic – MMCP embraces uncertainty using Markov models & Monte Carlo simulations. ✅ Customizable for Any Asset – Adjust the Volatility Multiplier for small or large price movements. ✅ Live Updates – The projection organically evolves with every new price bar. ✅ Multi-Perspective Analysis – Traders can run paired normal and inverted projections for deeper insights. By tuning Volatility Multiplier, Lookback Window, and Projection Inversion, traders can customize MMCP to fit their strategy. Final Thoughts The Markov Monte Carlo Projection (MMCP) is not about making absolute predictions—it is about understanding probability distributions in price action. By leveraging Monte Carlo simulations, Markov transition probabilities, and dynamic volatility modeling, MMCP gives traders a powerful probability-based edge in forecasting potential price movement.
Pine Script®指標
由garysebastianbrowniii提供
Price and Volume Divergence Analyzer How to Use the Indicator Main Purpose: Identify divergences between price movement, the volume line, and the weighted volume line to predict potential reversals. Volume Line Explanation: At zero: Equal buying and selling volume. At 1: Double the buying volume vs. selling. At -1: Double the selling volume vs. buying. Divergence: Price rising, volume line falling: Sellers offloading to buyers—likely reversal downward. Price falling, volume line rising: Buyers stepping in—likely reversal upward. Higher/Lower Volume Movement Line: At zero: Equal volume required for price movement. At 1: High efficiency—half the volume needed to move price. At -1: Low efficiency—double the volume needed to move price. Above volume line: Movement aligns with efficient volume. Below volume line: Inefficient price movement. Candle Fill Colors: Shaded based on whether the current close is higher or lower than the previous close. Settings Overview EMA Settings: Timeframe Selection: Use a lower timeframe than your chart for accuracy. Avoid selecting a timeframe higher than your chart. EMA Length Option: Default: Sets lengths automatically (EMA = 14, EMA of EMA = 3). User Input: Allows custom EMA length. Calculation Type: EMA: Standard exponential moving average. EMA of EMA: Applies EMA three times for smoother values. Volume Line Settings: Line Width: Adjust thickness. Colors: More Buying: Green (default). More Selling: Red (default). Higher/Lower Volume Movement Line: Line Width: Adjust thickness. Colors: Higher Volume Movement: Indicates higher volume required. Lower Volume Movement: Indicates lower volume required. Up/Down Candle Fill: Colors: Up Candle: Green (default). Down Candle: Red (default). Transparency: Adjust percentage for visibility. Balance Line Settings: Line Width and Color: Equilibrium line showing equal buying/selling volume at zero.
Pine Script®指標
由Dean_Crypto提供
3
Market Movement After OpenDescription: This script provides a detailed visualization of market movements during key trading hours: the German market opening (08:00–09:00 UTC+1) and the US market opening (15:30–16:30 UTC+1). It is designed to help traders analyze price behavior in these critical trading periods by capturing and presenting movement patterns and trends directly on the chart and in an interactive table. Key Features: Market Movement Analysis: Tracks the price movement during the German market's first hour (08:00–09:00 UTC+1) and the US market's opening session (15:30–16:30 UTC+1). Analyzes whether the price moved up or down during these intervals. Visual Representation: Dynamically colored price lines indicate upward (green) or downward (red) movement during the respective periods. Labels ("DE" for Germany and "US" for the United States) mark key moments in the chart. Historical Data Table: Displays the past 10 trading days' movement trends in an interactive table, including: Date: Trading date. German Market Movement: Up (▲), Down (▼), or Neutral (-) for 08:00–09:00 UTC+1. US Market Movement: Up (▲), Down (▼), or Neutral (-) for 15:30–16:30 UTC+1. The table uses color coding for easy interpretation: green for upward movements, red for downward, and gray for neutral. Real-Time Updates: Automatically updates during live trading sessions to reflect the most recent movements. Highlights incomplete periods (e.g., ongoing sessions) to indicate their status. Customizable: Suitable for intraday analysis or broader studies of market trends. Designed to overlay directly on any price chart. Use Case: This script is particularly useful for traders who focus on market openings, which are often characterized by high volatility and significant price movements. By providing a clear visual representation of historical and live data, it aids in understanding and capitalizing on market trends during these critical periods. Notes: The script works best when the chart is set to the appropriate timezone (UTC+1 for the German market or your local equivalent). For precise trading decisions, consider combining this script with other technical indicators or trading strategies. Feel free to share feedback or suggest additional features to enhance the script!
Pine Script®指標
由base751提供
SPX Mapped Gaps [Mxwll]Hello traders 👋 This indicator "SPX Mapped Gaps" detects gaps from the SPX (or the trader's choice of index/asset) and plots them for the asset on your chart! Features Selectable comparison symbol Gaps from the selected symbol (SPX by default) are plotted for the asset on your chart - serving as potential support/resistance levels! Closest gaps from comparison symbol displayed in upper-right table Overlapped gaps deleted automatically - less clutter! How this script works The "SPX Mapped Gaps" is designed to help traders determine price levels for the asset on their chart where a major index (any asset) gapped up or down. Of course, a gap that occurs on SPX (4-digit price) is incompatible with the price chart of BTC (5-digit price). To circumvent this, the percentage distance of the gap from SPX is determined, and a gap level is drawn equidistantly (up/down) from the open price of the asset on your chart. With this method, the proportion of the gap is maintained at the price area it occurred for the asset on your chart! The image above outlines functionality for the indicator! Key points: Up gaps are denoted by green boxes Down gaps are denoted by red boxes All gaps are listed with their start and end price for the comparison asset (SPX for the example). These labels can be hidden at the user's discretion. Gaps are expected to act as support/resistance during their lifetime The image above explains the output of the script, including line style indications! Solid lines indicate that the leverage used for at your entry price constitutes an active trade. Dotted lines mean the trade has already achieved your profit target for that leverage, or stopped out. The image above explains the table attached to the indicator! This table displays the closest gaps to the current asset price. The status (up gap or down gap) from the gap to the current price is also detailed. Why are gaps on the SPX, or major index, relevant to BTC and other assets? When a gap on the major indices occurs, it's expected that strong aggregate buying or selling pressure will transpire for BTC and other coins. Due to this, the presence of a gap on a major index might correspond to increased activity on smaller market-cap assets with some degree of positive correlation to the index. Consequently, the price level for the asset at which a gap for the major index occurred may function as support/resistance for future price! That is all for this - thanks traders!
Pine Script®指標
由MXWLL-Capital-Trading提供
1
Perfect Order Alert USDJPY/BTCUSD/XAUUSDPerfect Order Alert USDJPY/BTCUSD/XAUUSD　日本語解説は下記 This indicator detects the perfect order of three moving averages and displays on the Panel in an easy-to-understand visual manner whether there is an uptrend, downtrend, or non-trend for each time leg. This indicator detects perfect orders for the three currency pairs USDJPY/BTCUSD/XAUUSD on the 5-minute, 15-minute, 1-hour, and 4-hour time frames, and displays them on the Panel on the chart, with “▲” for up, “▼” for down, and “ー” for non-trend, so that you can quickly determine the trend. The panel is displayed on the chart. In order to check for perfect orders without missing them, it is also possible to set up alerts that notify you of all the time frames and currency pairs as well. Functions Displaying 4H, 1H, 15M, 5M, up (▲), down (▼), other (-), of USDJPY/BTCUSD/XAUUSD on the panel. *(By default, 20EMA, 75EMA, and 200EMA are hidden.) Display position setting of the panel (You can choose from upper left, upper top, upper right, lower left, lower bottom, or lower right). Panel color and text color change function The moving average line can be hidden by default. Moving average period change Moving average color and thickness can be changed. EMA/SMA switchable Alert function - One alert can be set for each currency pair and time frame ▲▼, which is very useful. Perfect Order Alert You can use it even if you have a free account with only one alert setting. To use the alert function, go to the Tradingview default alert settings, select “USDJPY/BTCUSD/XAUUSD” for the top item of conditions, and select “Call Alert() function” in the frame just below it! _* Supplementary explanation: ＿＿＿＿＿＿＿＿＿＿＿＿ Please note that due to the limitation of the script, only 3 currency pairs and 4 time frames are displayed with 12 items (Panels for currency pairs other than USDJPY/BTCUSD/XAUUSD are also created, but they are indicators for other scripts, so if you are interested in other currency pairs, please use those. If you are interested in other currency pairs, please use them.) Please note that we may change the functions or delete the indicator itself without prior notice. Translated with DeepL.com (free version) Reference image of the setting screenReference image of the setting screen 設定画面参考画像 3本の移動平均線のパーフェクトオーダーを検知し、時間足ごとに上昇トレンドか下降トレンドかノントレンドかを視覚的にわかりやすくPanelに表示するインジゲーターです。 このインジゲーターは、USDJPY/BTCUSD/XAUUSDの３通貨ペアの５分足、15分足、１時間足、４時間足のパーフェクトオーダーを検知して、チャートに表示されるPanelに、上昇は「▲」下降は「▼」ノントレンドは「ー」と、すぐに判断できる表示にしてあります。 パーフェクトオーダーを逃さずチェックできるように、それぞれの時間足や通貨ペアも全てを通知してくれるアラート設定が可能なのも特徴です。 機能紹介 ・USDJPY/BTCUSD/XAUUSDの4H,1H,15M,5M,の上昇(▲),下降(▼),その他(-),をパネルに表示 ※(デフォルトでは20EMA,75EMA,200EMAの３本で非表示にしてあります） ・パネルの表示位置設定（左上、上、右上、左下、下、右下、から選択できます。） ・パネルの色とテキスト色変更機能 ・移動平均線表示非表示機能（デフォルトでは表示OFFにしてあります。） ・移動平均線期間変更 ・移動平均線色と太さ変更 ・EMA/SMA切り替え可能 ・アラート機能ー１つのアラート設定で通貨ペアと時間足▲▼一つ一つを細かく教えてくれるので便利。 ※パーフェクト オーダーアラート 無料アカウントで１つしかアラート設定できなくても使えます。 アラート機能はTradingviewデフォルトのアラート設定から、条件の一番上の項目を「USDJPY/BTCUSD/XAUUSD」選択、そのすぐ下の枠に「Alert()関数の呼び出し」を選択でOK！ ＿※ 補足説明＿＿＿＿＿＿＿＿＿＿＿＿ ・スクリプトの制限の為、３通貨ペアと４つの時間足の１２項目で表示させていますのでご了承ください (USDJPY/BTCUSD/XAUUSD以外の通貨ペアのPanelも作成していますが別スクリプトのインジゲーターになりますので他の通貨ペアも興味がある方はそちらをお使いください） ・予告なしで機能の変更やインジゲーター自体の削除等行う事もあるかもなのでご了承ください。
Pine Script®指標
由you_222提供
3
Composite Bull-Bear Dominance IndexNote: CREDITS: This is based on the Up Down Volume Indicator (published in Trading View) and Elder Ray Index (Bull Bear Power). The Composite Bull Bear Dominance Index (CBBDI) is a indicator that combines up down volume analysis with Bull and Bear Power to provide a comprehensive view of market dynamics. It calculates Z-scores for up down volume delta and bull bear power measures, averages them, and then smoothes the result using Weighted Moving Average (WMA) for Bull and Bear Power and Volume Weighted Moving Average (VWMA) for Up and Down Volume Delta. The advantages include responsiveness to short-term trends, noise reduction through weighting, incorporation of volume information, and the ability to identify significant changes in buying and selling pressure. The indicator aims to offer clear signals for traders seeking insights into overall market dominance and indicate if the bulls or the bears have the upper hand. Volume Analysis (Up/Down Volume Delta): Up/Down Volume Delta reflects the net difference between buying and selling volume, providing insights into the prevailing market sentiment. Positive Delta: Indicates potential bullish dominance due to higher buying volume. Negative Delta: Suggests potential bearish dominance as selling volume surpasses buying volume. Price Analysis (Bull and Bear Power): Bull and Bear Power measure the strength of buying and selling forces based on price movements and the Exponential Moving Average (EMA) of the closing price. Positive Bull Power: Reflects bullish dominance, indicating potential upward momentum. Positive Bear Power: Suggests bearish dominance, indicating potential downward momentum. Composite Bull Bear Dominance Index (CBBDI): CBBDI combines the standardized Z-scores of Up/Down Volume Delta and Bull Bear Power, providing an average measure of both volume and price-related dominance. Positive CBBDI: Indicates an overall bullish dominance in both volume and price dynamics. Negative CBBDI: Suggests an overall bearish dominance in both volume and price dynamics. Smoothing Techniques: The use of Weighted Moving Average (WMA) for smoothing Bull and Bear Power Z-scores, and Volume Weighted Moving Average (VWMA) for smoothing Up/Down Volume Delta, reduces noise and provides a clearer trend signal. Smoothing helps filter out short-term fluctuations and emphasizes more significant trends in both volume and price movements. Color Coding: CBBDI values are color-coded based on their direction, visually representing the prevailing market sentiment. Green Colors: Positive values indicate potential bullish dominance. Red Colors: Negative values suggest potential bearish dominance.
Pine Script®指標
由federalTacos5392b提供
2
Volume Delta Compare [Ticks ~ LTF data] The "Volume Delta Compare " publication shows 2 different techniques to show into-depth details of Volume, using Tick and Lower-Time-Frame (LTF) data. 🔶 USAGE Check for divergences between price and volume movement Check details (why and when a ΔV developed) Or if you want to see a lot of data stacked on each other ) 🔶 CONCEPTS 🔹 Tick vs. LTF data a Tick is an measure of (upward or downward) movement in price OR volume. We can use this data by using varip in the code. Advantage: • Detail, detail, detail • Accurate, per tick Disadvantage: • Only realtime • Can reset 'easily' -> loss of data • Will reset when settings are changed LTF data, through the request.security_lower_tf() function, measures the OHLCV data per LTF bar Advantage: • Access to history when loading a chart • No 'loss' of data when chart resets Disadvantage: • Less detailed • Less accurate This script makes it possible to compare the 2 techniques and enables you to show different values. 🔹 Values There are mainly 3 important values: • UP volume (uV): volume when price rises • DOWN volume (dV): volume when price falls • NEUTRAL volume (nV): volume when price stays the same From this, additional data is calculated: • Volume Delta (ΔV): uV minus dV • Cumulative Delta Volume (cΔV): sum of ΔV One typical nV is at open: at that moment there isn't a base price to compare with, so when the first trade doesn't fully fill the first supply (up or down), volume will rise, but price just is 'open', no movement -> no uV or dV. • Tick data: every volume changement    per tick    will be added to the concerning variable (uV, dV or nV) • LTF data:  every volume changement of each bar will be added to the concerning variable (uV, dV or nV) -> this can easily give a difference, for example (Tick vs. 1 minute LTF), when most of the ticks caused a rise of price, but at the last few seconds, a few ticks causes the close to come below open, with Tick data this could give more UP Volume, while LTF data will show 1 value of DOWN Volume. 🔶 EXAMPLES 🔹 Details In these examples you can see: • grey line: Total volume (higher precision) • UP/DOWN/NEUTRAL Volume • green columns: uV • orange columns: dV • blue pillars: nV • coloured stepline: reflects ΔV • close > open and  positive ΔV -> green • close > open but negative ΔV -> fuchsia • close < open and negative ΔV -> orange • close < open but  positive ΔV -> bright lime green • Right side -> indication of used data (Tick/LTF data) + last ΔV • labels (can be disabled) Above 0 (only with Tick data): data from EVERY tick (ΔV ): • first the amount of Volume (0 when the amount is very minimal) • between brackets: price movement Below 0: • Σ V: sum of uV, dV and nV, for that bar • Σ up: sum of uV for that bar • Σ dn: sum of dV for that bar • Σ nt: sum of nV for that bar • Σ P: sum of price movement, for that bar (only at Tick data) (At the right you'll see a new bar just started) Here is a detail of the first second at opening: 🔹 Cumulative Volume Delta (CVD) Difference CVD based on Tick vs. LTF data : (horizontal lines added for reference) 🔶 FEATURES 🔹 Minimal plotting of na values Data window and status line only show what is applicable (tick or LTF data) to diminish clutter of data values: The Tick option has a label above 0 which includes details of every Tick. If data is added every tick, that label on a 10 minute chart will be filled beyond limitations pretty quickly (string max_length = 4096 limit). To prevent the script stopping to execute, at a certain limit, this label will stop updating and show the message "Too much data". The label below the 0-line won't reach that limit, so it will keep on updating. Timeframes closer to 1 second will have less risk to reach that 4096 limit. Details will remain to show in this case. 🔹 Automatic label colour adaption when changing between dark/light mode values Label background/text-colour will adapt according to the dark/light-mode by using chart.fg_color / chart.bg_color 🔶 SETTINGS 🔹 Data from: Ticks vs. LTF data 🔹 LTF: Lower Time-Frame for when LTF option is chosen: 1, 5, 10, 15, 30 Seconds or 1 minute 🔹 Also start when bar already has data: only for tick data -> when disabled calculations only start on a new bar. 🔹 CVD, Only show Cumulative Delta Volume: enable to just display CVD 🔹 Colours: colour at the right is for price/volume direction divergences 🔹 Label: choose what you want to display + size labels 🔹 0-line: The label under the 0-line sometimes goes below the chart. this can be adjusted with this setting.
Pine Script®指標
由fikira提供
38
Gaps + Imbalances + Wicks (MTF) - By LeviathanThis script will identify and draw price gaps, wicks and imbalances with customizable fill conditions, multi-timeframe function, zone size filtering, volume comparison, lookback filtering, as well as highly customizable appearance and settings. I’ve made this indicator to combine the three similar but different elements that occur in price movements and serve as significant zones of interest or way of PA interpretation in various different strategies. Imbalances (or Fair Value Gap/FVG/Inefficiency/whatever) - The Imbalance “pattern” consists of 3 candles (1- candle before the sharp move, 2 - sharp move candle and 3- candle after the sharp move). When price makes a move downwards, the imbalance zone is defined as the area between the low of 1 and the high of 3 When price makes a move upwards, the imbalance zone is defined as the area between the high of 1 and the low of 3. Gaps A price gap is an area on a chart where no trading activity has taken place. A gap up means that the low of the current candle is higher than the high of the previous candle and a gap down means that the high of the current candle is lower than the low of the previous candle. Wicks (or shadows/tails/whatever) Wicks are used to indicate where the price has fluctuated relative to the opening and closing price of the candle. An upper wick is the zone between candle high and candle close/open (whichever is higher) and a lower wick is the zone between candle’s low and candle’s close/open (whichever is lower). Settings Overview “Zone Type” - This input lets you decide which zones should the script plot and on which timeframe. You should always pick a timeframe higher than your chat’s. “Middle Line, Top Line, Bottom Line” - Show or hide the Middle Line (horizontal level in the middle of each zone), Show or hide Top Line (horizontal level at the top of the zone), Show or hide Bottom Line (horizontal level at the bottom of the zone) “UP/DOWN Zones" - This input lets you show/hide UP Zones or DOWN Zones an pick their color, border color and label color. ”Fill Condition” - If turned ON, the zones will end drawing when your prefered Fill Condition is met (Full Filll = price mitigates the whole zone, Half Fill = zone is at least halfway mitigated and Touch = zone is touched by price). If turned OFF, the zones will only be plotted for the amount of bars defined it “Zone Length”. ”Lookback (D)” - This input lets you limit the amount of zones plotted on the chart by choosing how many days back in time should the script go to find and plot zones. For example, input 1 will only show you the zones of the past day, input 7 will only show you the zones of the past week. ”Hide Filled Zones” - If turned ON, the zones that have been filled will be removed from the chart. ”Show Boxes” - Show or hide the boxes that represent the zones. This is useful for those who want the zones to be visualized by just lines. “Filter Type” - this input lets you create a filter that will make the script only show zones that are larger than ATR or larger than a certain percentage. You can choose the ATR Length and the multiplier (higher multiplier → larger zone required), as well as the Percentage (%) and its multiplier (higher percentage → larger zone required). If you choose “None”, the zones of all sizes will be plotted. ”Zone Labels” - this part of the settings lets you: show/hide labels, decide on the size of the labels and their positions, choose a custom name for each zone, choose the data that the labels present (Type of the zone/Timeframe/ Volume ). ”Other settings” - ‘Stop/Delete zone after X number of candles’ will force stop/delete the zone if it’s plotted for more than prefered number of bars. ‘Line Style’ lets you choose the style and the color of the lines, ‘Zone Length’ defines the length of the zone if Fill Condition is “None”. More settings, modifications and improvements coming in future updates. This script is a bit old so I will clean up and optimize the code once I have more time.
Pine Script®指標
由LeviathanCapital提供
51
Glan Nilly candle TrendThis script is based on Nilly River Theory, and shows up, down, inner and outer bars according that concept. it can be used for trend recognition. blue after blue candles show continuation of an upward trend. red after red candles show continuation of a downward trend. gray candles are members of the trend they are within. An opposite candle color to previous candles shows minor trend reversal. high of the last candle of a blue after blue candles shows a new up(grey candles within the way are part of that trend). low of the last candle of a red after red candles shows a new down(grey candles within the way are part of that trend). if the new up is upper and new down is upper than previous ones, then this is real upward trend. if the new up is lower than and new down is lower than previous ones, then this is real downward trend. it is not allowed to trade in opposite direction of a trend and this indicator help us to recognize the trend.
Pine Script®指標
由utsaeed21提供
TradingView Alerts (Expo)█ Overview The TradingView inbuilt alert feature inspires this alert tool. TradingView Alerts (Expo) enables traders to set alerts on any indicator on TradingView, both public, protected, and invite-only scripts (if you are granted access). In this way, traders can set the alerts they want for any indicator they have access to. This feature is highly needed since many indicators on TradingView do not have the particular alert the trader looks for, this alert tool solves that problem and lets everyone create the alert they need. Many predefined conditions are included, such as "crossings," "turning up/down," "entering a channel," and much more. █ TradingView alerts TradingView alerts are a popular and convenient way of getting an immediate notification when the asset meets your set alert criteria. It helps traders to stay updated on the assets and timeframe they follow. █ Alert table Keep track of the average amount of alerts that have been triggered per day, per month, and per week. It helps traders to understand how frequently they can expect an alert to trigger. █ Predefined alerts types Crossing The Crossing alert is triggered when the source input crosses (up or down) from the selected price or value. Crossing Down / Crossing Up The Crossing Down alert is triggered when the source input crosses down from the selected price or value. The Crossing Up alert is triggered when the source input crosses up from the selected price or value. Greater Than / Less Than The Greater Than alert is triggered when the source input reaches the selected value or price. The Less Than alert is triggered when the source input reaches the selected value or price. Entering Channel / Exiting Channel The Entering Channel alert is triggered when the source input enters the selected channel value. The Exiting Channel alert is triggered when the source input exits the selected channel value. Notice that this alert only works if you have selected "Channels." Inside Channel / Outside Channel The Inside Channel alert is triggered when the source input is within the selected Upper and Lower Channel boundaries. The Outside Channel alert is triggered when the source input is outside the selected Upper and Lower Channel boundaries. Notice that this alert only works if you have selected "Channels." Moving Up / Moving Down This alert is the same as "crossing up/down" within x-bars. The Moving Up alert is triggered when the source input increases by a certain value within x-bars. The Moving Down alert is triggered when the source input decreases by a certain value within x-bars. Notice that you have to set the Number of Bars parameter! The calculation starts from the last formed candlestick. Moving Up % / Moving Down % The Moving Up % alert is triggered when the source input increases by a certain percentage value within x-bars. The Moving Down % alert is triggered when the source input decreases by a certain percentage value within x-bars. Notice that you have to set the Number of Bars parameter! The calculation starts from the last formed candlestick. Turning Up / Turning Down The Turning Up alert is triggered when the source input turns up. The Turning Down alert is triggered when the source input turns down. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Pine Script®指標
由Zeiierman提供
49
(Quartile Vol.; Vol. Aggregation; Range US Bars; Gaps) [Kioseff]Hello! This indicator is a multifaceted tool that's, hopefully, useful for price action and volume analysis. (This script makes use of the newly introduced "text_font" parameter) With this script you'll have access to: Range US Chart Volume Aggregation Chart Gaps Chart Volume by Quartile Consequently, you'll have access to: First Quartile Volume Threshold Second Quartile Volume Threshold Third Quartile Volume Threshold 90th Percentile Volume Threshold Fourth Quartile Volume Threshold Q2 - Q1 Dispersion Q3 - Q2 Dispersion Q4 - Q3 Dispersion Quartile Deviation Interquartile Range Avg. "n" bar return following "high" volume Avg. "n" bar positive return following "high" volume Avg. "n" bar negative following "high" volume # of Positive Returns Following a Gap # of Negative Returns Following a Gap # of Gaps # of Up Gaps # of Down Gaps Average # of bars to fill Up Gaps Average # of bars to dill Down Gaps Average Gap Up % increase Average Gap Down % decrease Cumulative % increase of all Up Gaps Cumulative % decrease of all Down Gaps Sort gaps by distance from price Hide gaps that price substantially deviates from (gaps will reappear when price trades near the gap) Segment Range US bars by date Manually configure Range US price thresholds Identify "congestion" areas with Range US bars Range US Levels that must be exceeded for a new Range US bar to produce Manually configure cumulative volume threshold for Volume Aggregation bars Segment Volume Aggregation bars by date Largest Volume Aggregation bar increases Largest Volume Aggregation bar decreases Calculate log returns after "high" volume sessions Quartile Volume The Quartile Volume portion of the script segments price/volume intervals by quartile. The image above shows features of the indicator. For statistics, the following metrics are recorded: First Quartile Second Quartile Third Quartile 90th Percentile Fourth Quartile Q2 - Q1 Dispersion Q3 - Q2 Dispersion Q4 - Q3 Dispersion Quartile Deviation Interquartile Range Color-coordinated price bars (by volume quartiles) The percent rank for the volume of the current bar Avg. "n" bar return following "high" volume Avg. "n" bar positive return following "high" volume Avg. "n" bar negative following "high" volume The script colors bars via gradient. By default, bars are colored lime when volume for the interval is "high" (exceeds upper quartile thresholds). The greener the bar, the higher the volume for the interval. Bars are colored red when volume for the interval is "low" (fails to exceed lower quartile thresholds). The redder the bar, the lower the volume for the interval. Naturally, brownish-colored bars reflect a volume interval that concluded near the median. The image above exemplifies the process. This feature might be useful to categorize / objectively define high-volume clusters, low-volume clusters, high-volume price moves, low-volume price moves, etc. For greater precision, you can select to color bars by volume quartile they belong to. The image above shows color-coordinated price bars. More details shown in the image. Additionally, you can select to plot the quartile/percentile that a price bar belongs to on the chart. The image above shows price bars numbered by the volume quartile they belong to. The script will distinguish successive 90th percentile violations, superimpose a linear regression channel atop the data sequence, and record pertinent statistics. The image above shows the process. Lastly, the user can plot an anchored VWAP using a built-in time function. The image above shows the anchored VWAP. Range US Chart A Range US chart operates irrespective of time and volume - simply - bars produce after a user-defined price move is achieved/exceeded in either direction. A range us chart produces “trend candles” and “reversal candles”. A reversal candle always moves against the most immediate bar; a trend candle always moves in favor of the most immediate bar. The user defines the dollar amount price must travel up/down for a trend candle to fulfill, and for a reversal candle to fulfill. Note: if a “down reversal” candle (red) Is produced, it’s impossible for the next candle to also be a down reversal candle - for the downside move to continue the criteria for a down trend candle must be fulfilled. Similarly, if an “up reversal” candle (green) Is produced, it’s impossible for the next candle to also be an up reversal candle - for the upside move to continue, the criteria for an uptrend trend candle must be fulfilled. Consequently, Range US bars frequently trade at the same level for extended periods. This is intentional, as this chart type is theorized to “filter noise” (whether Range US charts fulfill this theory is to your discretion). Lastly, if an up trend candle (green) is produced, the next candle cannot be up a reversal up candle - only a trend up candle or reversal down candle can produce - vice versa for a trend down candle (the subsequent candle cannot be a reversal down candle). In this sense, an uptrend continues on successive trend up candles; a down trend continues on successive trend down candles. The image above exemplifies Range US chart functionality. The lower-right stats table shows the requisite price move for a "Trend" candle to produce and for a "Reversal" candle to produce. The default settings for this chart time automatically calculate the required "Trend" candle price move and the required "Reversal" candle price move. However, both settings are configurable. The image above shows manually configured parameters for a trend bar and reversal bar to produce. This feature allows the user to replicate the Range US chart hosted on extrinsic charting platforms. However, please consider that this script does not use tick data; 1-minute OHLC data is used for calculations. Consequently, configuring the trend bar and reversal bar requirement too low may return inaccurate data. For instance, if you set trend candles to form after a $1 price move then trend candles will form if price moves up $1 from a green Range US bar or down $1 from a red Range US bar. This is sufficient for lower priced assets; however, if you were trading, for instance, Bitcoin - a $1 price move can happen numerous times in one minute. This script can’t plot bars and record data until a 1-minute bar closes and a new 1-minute bar opens. Further, if Bitcoin moves up $1 twenty times and down $1 twenty times in a 1-minute bar - your Range US chart will record such variations as one price move. This data is inaccurate and likely useless. To counter this quandary, a warning message will appear if you configure trend bar price moves or reversal bar price moves too low. The image above shows the concealable warning message. The image above is a flow diagram (made with shaky hands) illustrating the Range US bar formation process. A google search will return additional information on the Range US chart type. Volume Aggregation Bars TradingView user and member of the TradingView Discord server @ferreirajames informed me of the Volume Aggregation chart type. The user commented in the "Suggestions" channel for the TradingView Discord server asking for the Volume Aggregation chart type. As an interim fix, I tried my hand at recreating the process, which is available in this script. Similar to the Range US chart type, Volume Aggregation bars aren’t bound to a time-axis; the bars form after a user-defined, cumulative amount of volume is achieved or exceeded. Consequently, once the cumulative amount of volume is achieved or exceeded - a bar is produced at the corresponding price level. Underlying theory: The chat type is conducive to identifying price levels where traders are “trapped”. Whether the process adequately distinguishes this circumstance is to your discretion. The image above exemplifies the Volume Aggregation chart type. Regardless of the current price, Volume Aggregation bars for after a requisite amount of volume is achieved/exceeded. Tick data isn't used; therefore, remainder values are carry over. By default, the script automatically calculates a proportional cumulative volume total to dictate the formation of Volume Aggregation bars. However, the cumulative threshold is configurable. The image above shows Volume Aggregation bars forming subsequent a user-defined cumulative volume total being exceeded. Note: This chart type uses OHLC data from the timeframe of your chart. Therefore, for instance, setting the volume threshold too low will produce inaccurate, useless data. A warning message will appear for such occurrence. Gaps The indicator incorporates a "Gaps" chart type. The image above shows accompanying features. A list of all unfilled gaps is accessible - gaps for this list are sorted by distance from current price. Partially filled gaps are displayed in the corresponding gap box - the percentage amount the gap was filled is also displayed. Gap statistics show: # of Gaps # of Up Gaps # of Down Gaps Average # of bars to fill Up Gaps Average # of bars to dill Down Gaps Average Gap Up % increase Average Gap Down % decrease Cumulative % increase of all Up Gaps Cumulative % decrease of all Down Gaps Naturally, there may be gaps formed thousands of bars ago that aren't close to price. Showing these gaps on the chart will "scrunch" the y-axis and make prices indistinguishable. I've added a setting that allows the user to hide gaps that are "n" % away from the current price. The gap, if unfilled, will reappear when price trades within the user-defined percentage. The image above shows an example. There's an unfilled down gap that's "hidden" because the current price is a further % away from price than what I've specified in the settings (1%). When prices trade back within 1% of the gap - it will reappear. The image above shows the process in action. Prices moved back within 1% (can be any %) of the gap; therefore, it reappeared on the chart. You can also set the % distance a gap must achieve for it to be considered a gap, recorded and plotted. Additionally, you can select to "visualize" gaps. Similar to the Range US chart and the Volume Aggregation chart, this setting will bars reflecting the most recent sequence of gaps - date and percentage distance of the gap are superimposed atop the bar. Let me know if there's anything else you'd like included! Note: The initial compilation time for this script is.... high. However, once the script's compiled, calculation load times are quick and you can sift through assets and timeframes relatively quick. There's also a setting to "Improve Load Times" in the user-inputs table. This setting only improves the load times for post-compilation calculations and plots. The initial compilation load time is unchanged. Simply, once the indicator has "first loaded", all subsequent loads are quick. Thank you! (:
Pine Script®指標
由KioseffTrading提供
27
True Adaptive-Lookback Phase Change Index [Loxx]Previously I posted a Phase Change Index using Ehlers Autocorrelation Periodogram Algorithm to tease out the adaptive periods. You can find the previous version here: . This new version is also adaptive but uses a different method to derive the adaptive length inputs. This adaptive method derives period inputs by counting pivots from past candles. This version also relies on Jurik Smoothing to generate the final signal. I named this one "true" because I should have specified in the previous PCI's title that it's powered by Ehlers Autocorrelation Periodogram. Additionally, you'll notice the ALB algorithm has changed from other indicators, This is restrict the range of possible ALB period outputs to a specific range so the indicator is usable. And remember, this is an inverse indicator. This means that small values on the oscillator indicate bullish sentiment and higher values on the oscillator indicate bearish sentiment. What is the Phase Change Index? Based on the M.H. Pee's TASC article "Phase Change Index". Prices at any time can be up, down, or unchanged. A period where market prices remain relatively unchanged is referred to as a consolidation. A period that witnesses relatively higher prices is referred to as an uptrend, while a period of relatively lower prices is called a downtrend. The Phase Change Index ( PCI ) is an indicator designed specifically to detect changes in market phases. This indicator is made as he describes it with one deviation: if we follow his formula to the letter then the "trend" is inverted to the actual market trend. Because of that an option to display inverted (and more logical) values is added. What is the Jurik Moving Average? Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines. Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun. That's why investors, banks and institutions worldwide ask for the Jurik Research Moving Average ( JMA ). You may apply it just as you would any other popular moving average. However, JMA's improved timing and smoothness will astound you. What is adaptive Jurik volatility One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive. Included: Bar coloring 2 signal variations w/ alerts
Pine Script®指標
由loxx提供
4