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스크립트에서 "bands"에 대해 찾기

Fibonacci & Bollinger Bands StrategyTrading System: Fibonacci & Bollinger Bands Strategy 1. Session Timing Trade only from 1 PM onwards. Identify the first candle on the 1 PM vertical line to set the market direction. If it's a bullish candle, look for buy opportunities. If it's a bearish candle, look for sell opportunities. 2. Fibonacci Retracement as a Measuring Tool Identify the recent swing high and swing low before the 1 PM session. Draw Fibonacci retracement levels from low to high (for buys) or high to low (for sells). Key retracement levels to watch: 0.0%, 50.0%, and 100.0%. Entries can be placed at 0.0% or 50.0%, aiming for a move toward 100.0% retracement. 3. Bollinger Bands Confirmation If the Bollinger Bands are above price, expect a downward move (sell). If the Bollinger Bands are below price, expect an upward move (buy). Use this as additional confirmation for your Fibonacci-based trade. 4. Entry & Exit Rules Entry: If the 1 PM candle confirms a bullish bias, enter long near Fibonacci 0.0% or 50.0%. If the 1 PM candle confirms a bearish bias, enter short near Fibonacci 0.0% or 50.0%. Stop Loss: Below (for buys) or above (for sells) the swing low/high used for Fibonacci. Take Profit: Target 100.0% retracement level or next key resistance/support. 5. Risk Management Risk 1-2% per trade. Avoid trading if price is too far from Fibonacci levels. Confirm setup with Bollinger Bands alignment.
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tomsonsbu의
Intervalo de la confianza 10 Bollinger Bands y IC-FUD12 Y 14Este Intervalo de la Confianza= IC-10 Bollinger Bands les puede ser una herramienta para ver donde se encuentra el precio si en FOMO o FUD Analicen la parte de abajo del Bollinger Bands, donde IC-10 FUD cruza arriba de IC-14 FUD. Esta herramienta no es in ningun momento una forma de consejo de inversion ni de trading. Cada quien va con sus propios riesgo en perdidas porque en ganancias nadie comparte sus ganancias nadie comparte sus perdidas. This Confidence Interval (CI-10) Bollinger Bands can be a tool to help you see where the price is in terms of FOMO or FUD. Analyze the lower part of the Bollinger Bands, where the CI-10 FUD crosses above the CI-14 FUD. This tool is not, under any circumstances, investment or trading advice. Everyone assumes their own risk of loss, because no one shares their profits or losses.
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ggsant20의
Multi Timeframe Bollinger Bands Spectrum [Ata]Multi-Timeframe Bollinger Bands Spectrum Technical Overview This script integrates multi-timeframe volatility analysis with volume-derived order flow estimation. By combining Bollinger Bands (statistical deviation) with internal candle volume logic, the indicator qualifies price movements to differentiate between sustained trends, reversals, and exhaustion events. The system is designed to provide a structural context for price action, visualizing market regimes through a dual-zone spectrum and filtering signals based on the interaction between price location and specific volume thresholds. Core Logic & Calculation 1. Volume Decomposition Algorithm Instead of using total volume, the script estimates Buying Pressure vs. Selling Pressure based on the close position relative to the candle's High/Low range: - Buying Volume (vb): Increases as the close approaches the High. - Selling Volume (vs): Increases as the close approaches the Low. This logic allows the detection of directional flow even within standard volume bars. 2. Statistical Spectrum The indicator renders deviations from the Basis (SMA) as two distinct zones: - Bullish Zone (Blue): Price positioning between the Basis and Upper Band. - Bearish Zone (Red): Price positioning between the Basis and Lower Band. This structure is applied across multiple timeframes (overlay) to visualize the macro trend context without noise. 3. Non-Repainting Execution To ensure historical accuracy and reliability for backtesting, all higher-timeframe data is requested using "lookahead_off". Signals are confirmed only upon the closure of the respective timeframe's candle. Signal Definitions Signals are generated only when specific Volatility and Volume conditions intersect: Reversal Setups (Reaction to Liquidity) - WALL: Triggered when price rejects the Upper Band accompanied by Extreme Selling Volume (vs > Limit). This suggests active limit sell orders absorbing the rally. - FLOOR: Triggered when price rejects the Lower Band accompanied by Extreme Buying Volume (vb > Limit). This suggests active limit buy orders absorbing the drop. - ABSORP: Identifies absorption near the lower bands where selling pressure is met with passive buying (indicated by lower wicks and relative buy volume). Momentum Setups (Trend Continuation) - POWER: Validates a breakout above the Upper Band only if supported by Dominant Buying Volume and a strong candle body. - PANIC: Validates a breakdown below the Lower Band only if supported by Dominant Selling Volume. - TRAP: Marks failed breakouts where price exits the bands but volume analysis contradicts the move (e.g., low directional volume). Exhaustion Setups (Statistical Extremes) - CLIMAX/CRASH: Identifies anomalies where price deviates significantly from the mean (Extreme Deviation) or when volume reaches unsustainable levels relative to the average, often preceding a mean reversion. Input Parameters - Bollinger Logic: Configuration for Length and Standard Deviation Multiplier. - Volume Thresholds: Adjustable factors for Minimum Volume (Trend) and Extreme Volume (Reversal/Climax). - Timeframe Layers: Toggle visibility for up to 5 higher timeframes. - Theme: Adjusts label contrast for Dark/Light backgrounds. Disclaimer This indicator is strictly for analytical purposes. It provides a visualization of past market data based on statistical and volumetric formulas. Users should apply their own risk management protocols.
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ata_sabanci의
4
Adaptive Gap Bands - DolphinTradeBot1️⃣ Overview Adaptive Gap Bands is a momentum indicator that measures the percentage difference between fast and slow moving averages. This helps identify potential overbought or oversold zones. The goal is to analyze “gap” behaviors within a trend and generate clearer entry–exit signals. Since the bands are anchored to the slow moving average, they are more sensitive to the trend direction, making signals stronger in line with the prevailing trend. 📌 Signals do not repaint — once confirmed, they remain fixed on the chart. 2️⃣ How It Works ? The indicator tracks the distance between fast and slow MAs. The indicator measures the percentage gap between the fast and slow moving averages, relative to the slow MA. Each time the gap reaches a new extreme during a swing, that value is stored. When the averages cross, the stored values from the last N swings (defined by Swing Count) are collected. These gap values are then averaged to create a smoother and more adaptive reference. The bands are built by multiplying this average gap with the % Multiplier and projecting it around the slow MA. 3️⃣ How to Use It ? Add the script to your chart. Green label → potential Long signal. Red label → potential Short signal. Signals often appear when price moves outside the adaptive bands, showing extreme momentum. Can also be used as a reference tool in manual trades to set profit/loss expectations. By comparing upward vs. downward gaps, it can help analyze and confirm the dominant trend direction. 4️⃣⚙️ Settings Swing Count → Number of past swings considered. % Multiplier → Adjusts band width (narrower or wider). MA Lengths & Types → Choose fast and slow moving averages (EMA, SMA, RMA, etc.).
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DolphinTradeBot의
Ignition Band Angles are Bollinger Bands with numeric angleI developed Bollinger Bands that provide a numeric value indicating their strength. To achieve this, I used the degree of the angle of attack and color-coded the numbers. The top band displays the number in the upper corner of the chart, the bottom band in the bottom corner, and the Basis is in the left middle. These numbers quantify the slope of the bands, which can be difficult to discern on a chart because stretching out the x and y axis can flatten or exaggerate a slope. With my Bollinger Bands, you get a constant reading that provides an accurate measurement of the angle and strength of a trend. I hope this helps.
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mybrainhertz의
3
McMillan Volatility Bands (MVB) – with Entry Logic// McMillan Volatility Bands (MVB) with signal + entry logic // Author: ChatGPT for OneRyanAlexander // Notes: // - Bands are computed using percentage volatility (log returns), per the Black‑Scholes framing. // - Inner band (default 3σ) and outer band (default 4σ) are configurable. // - A setup occurs when price closes outside the outer band, then closes back within the inner band. // The bar that re‑enters is the "signal bar." We then require price to trade beyond the signal bar's // extreme by a user‑defined cushion (default 0.34 * signal bar range) to confirm entry. // - Includes alertconditions for both setups and confirmed entries.
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ryan.rybarczyk의
350DMA bands + Z-score (V2)This script extends the classic 350-day moving average (350DMA) by building dynamic valuation bands and a Z-Score framework to evaluate how far price deviates from its long-term mean. Features 350DMA Anchor: Uses the 350-day simple moving average as the baseline reference. Fixed Multipliers: Key bands plotted at ×0.625, ×1.0, ×1.6, ×2.0, and ×2.5 of the 350DMA — historically significant levels for cycle analysis. Z-Score Mapping: Price is converted into a Z-Score on a scale from +2 (deep undervaluation) to –2 (extreme overvaluation), using log-space interpolation for accuracy. Custom Display: HUD panel and on-chart label show the current Z-Score in real time. Clamp Option: Users can toggle between raw Z values or capped values (±2). How to Use Valuation Context: The 350DMA is often considered a “fair value” anchor; large deviations identify cycles of under- or over-valuation. Z-Score Insight: Positive Z values suggest favorable accumulation zones where price is below long-term average. Negative Z values highlight zones of stretched valuation, often associated with distribution or profit-taking. Strategic Application: This is not a standalone trading system — it works best in confluence with other indicators, cycle models, or macro analysis. Originality Unlike a simple DMA overlay, this script: Provides multiple cycle-based bands derived from the 350DMA. Applies a logarithmic Z-Score mapping for more precise long-term scaling. Adds an integrated HUD and labeling system for quick interpretation.
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S0905B의
LULD Bands & Trading Halt Detector [Volume Vigilante]📖 LULD Bands & Trading Halt Detector This advanced tool visualizes official Limit Up / Limit Down (LULD) price bands and detects regulatory trading halts and resumptions based on SEC and NASDAQ rules. It is engineered for high accuracy by anchoring all calculations to the 1-minute timeframe, ensuring reliable signals across any chart resolution. 📌 What Does This Script Do? - Draws real-time LULD price band estimations and optional buffer (caution) zones directly on the chart. - Detects trading halt resumptions by monitoring time gaps between candles and other regulatory criteria. (Note: Due to Pine Script limitations, halts cannot be detected in real-time, only resumptions after they occur.) - Triggers real-time alerts for: - Trading Resumptions (Limit Up & Limit Down) - LULD Zone Entries (Caution Zone) - Band Breaches (Limit Up and Limit Down) - Plots historical halt resumption markers to analyse past events. 📐 How It Works: - Implements official SEC/NASDAQ LULD rules for Tier 1 and Tier 2 securities. - Applies special band adjustments for the final 25 minutes of trading (after 3:35 PM ET). - Anchors all logic to the 1-minute timeframe for precise calculations, even on higher timeframe charts. - Includes adjustable volume and volatility filters to eliminate false signals (ghost halts) on low-- liquidity assets, especially Tier 2 securities when TradingView fails to print candles. ⚙️ How to Use It: 1.) Apply the script to any asset or timeframe. 2.) Adjust Volume and Volatility Filters to reduce noise. (Recommended: 500,000+ volume, 10%+ volatility.) 3.) Enable or disable visual components like bands, buffer zones, and halt resumption labels. 4.) Configure alerts directly from the script settings panel. 5.) Apply alerts to individual assets via "Add Alert On..." or to entire watchlists using "Add Alert on the List." 🧩 What Makes This Script Unique? - True 1-Minute Anchored Calculations: Ensures alerts and visuals match official trading halt criteria regardless of chart timeframe. - Customisable Buffered Zones: Visualise proximity to regulatory price limits and avoid volatility traps. - Combines halt resumption detection, limit up/down band visualisation, and real-time alerts into one clean, modular tool. 📚 Disclaimer: This script is for educational purposes only and does not constitute financial advice. Use at your own discretion and consult a licensed financial advisor before making trading decisions based on it. Official Resources: - NASDAQ LULD Regulations (FAQ): www.nasdaqtrader.com Current Nasdaq Trading Halts: www.nasdaqtrader.com
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VolumeVigilante의
2
Jurik Bands//A follow up for my JMA script. This script is inspired by (and dedicated to) closure of sales (today, Oct 20 '21) of the famous Jurik Research. ... Jurik Research, the real people who been doing real things by using the real instruments, while many others been reading books "How to become a billionaire in 2 days", watching 5687 hours videos of how to use RSI , and studying+applying machine learning to everything cuz suddenly it became trendy xD ... In my JMA script I've said that JMA takes into account volatility. But how exactly? In fact, it's based on smth called Jurik Bands. Thing is they can be/should be used as an independent instrument. I won't lie, I've developed smth very similar myself for mean-reverting purposes, but we ain't gonna talk about this now (my stuff is much simpler, saying bye-bye to entropy). ... The code is on purpose in Pine4, because lmao I'm not gonna call my stuff "Indicators", they don't "Indicate" anything. And it's on purpose doesn't follow any "coding conventions" made by geeks to make their stuff look more important. My conventions are simple: less code as possible and as simple as possible so we can actually do business based on these instruments. ... Live Long And Prosper
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gorx1의
15
Mean Reversion w/ Bollinger BandsThis is a more advanced version of my original mean reversion script. It employs the famous Bollinger Bands. This robot will buy when price falls below the lower Bollinger Band, and sell when price moves above the upper Bollinger Band. I've only tested it on the S&P 500, though you could try it out on other assets to see the backtest performance. During the recent COVID-19 bear market drop, it produced several buy signals on the S&P which I followed, and made some nice gains so far. I still think this would make a better investing strategy (buy undervalued / sell over-valued), rather than a trading strategy. I use this robot for my long term portfolio.
Pine Script™ 전략
UnknownUnicorn1373033의
14
Fractal Regression Bands [DW]This study is an experimental regression curve built around fractal and ATR calculations. First, Williams Fractals are calculated, and used as anchoring points. Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period. The median between the positive and negative sloping lines is then calculated, then the best fit line (linear regression) of the median is calculated to generate the basis line. Lastly, a Golden Mean ATR is taken of price over the sampling period and multiplied by 1/2, 1, 2, and 3. The results are added and subtracted from the basis line to generate the bands. Williams Fractals are included in the plots. The color scheme indicated whether each fractal is engulfing or non-engulfing. Custom bar color scheme is included.
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DonovanWall의
4
Directional Movement Bands [DW]This is a simple experimental study designed to outline trend activity and volatility. In this study, the amount of change between current source and source of a specified lookback is calculated, then added to and subtracted from current source. Next an exponential moving average is taken of the values for smoothing over the specified period. Lastly, a midline is generated by taking the median of both bands.
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DonovanWall의
2
Bollinger Bands Breakout StrategyHey guys check out this strategy script. Chart plotting: I use a classic plot of Bollinger Bands to define a consolidation zone, I also use a separate Trend Filter (SMA). Logic: When the price is above the SMA and above the Bollinger Upper Band the strategy goes Long. When the price is below the SMA and below the Bollinger Lower Band the strategy goes Short. Simple. Exits: TP and SL are a percentage of the price. Notes: This simple strategy can be used at any timeframe (I prefer the 15min for day trading). It avoids consolidation, when the price is inside the Bollinger Bands, and has a good success rate. Adjust the Length of the BB to suit your style of trading (Lower numbers=more volatile, Higher numbers=more restrictive). Also you can adjust the Trend Filter SMA, I presonally chose the 50 SMA. Finally the SL/TP can be also adjusted from the input menu. Test it for yourself! Have great trades!
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kostastrovas의
Opening Candle Zone with ATR Bands by nkChartsThis indicator highlights the opening range of each trading session and projects dynamic ATR-based zones around it. Key Features Plots high and low levels of the opening candle for each new daily session. Extends these levels across the session, providing clear intraday support and resistance zones. Adds ATR-based offset bands above and below the opening range for volatility-adjusted levels. Customizable colors, ATR length, and multiplier for flexible use across markets and timeframes. Adjustable session history limit to control how many past levels remain on the chart. How to Use: The opening range high/low often acts as strong intraday support or resistance. The ATR bands give an adaptive volatility buffer, useful for breakout or mean-reversion strategies. Works on any market with clear session opens. This tool is designed for traders who want to combine session-based price action with volatility insights, helping identify potential breakouts, reversals, or consolidation areas throughout the day. ⚠️ Disclaimer: This indicator is for educational purposes only. It does not provide financial advice or guarantee profits. Always perform your own analysis before making trading decisions.
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nkCharts의
Bollinger Bands SMA 20_2 StrategyMean reversion strategy using Bollinger Bands (20-period SMA with 2.0 standard deviation bands). Trade Triggers: 🟢 BUY SIGNAL: When: Price crosses above the lower Bollinger Band Logic: Price has hit oversold territory and is bouncing back Action: Places a long position with stop at the lower band 🔴 SELL SIGNAL: When: Price crosses below the upper Bollinger Band Logic: Price has hit overbought territory and is pulling back Action: Places a short position with stop at the upper band
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meowBTC의
1
Strategie Bollinger Bands buy & sellMiddle Band (Basis): Calculated using a Simple Moving Average (SMA) over a user-defined period. Upper Band: The middle band plus the standard deviation of the price multiplied by a user-defined multiplier. Lower Band: The middle band minus the standard deviation of the price multiplied by the same multiplier. User Inputs: Length: The number of periods used for the SMA and standard deviation (default: 20). Deviation: The multiplier for the standard deviation to calculate the upper and lower bands (default: 2.0). Buy and Sell Signals: Buy Signal: Generated when the price crosses above the lower band, indicating a potential oversold condition. Sell Signal: Generated when the price crosses below the upper band, indicating a potential overbought condition. Visual Markers: Buy Signals: Displayed below the price bars as green labels with the text "BUY." Sell Signals: Displayed above the price bars as red labels with the text "SELL." The Bollinger Bands (upper, middle, and lower) are plotted directly on the price chart for easy visualization. How to Use the Script: Customize Parameters: Modify the length and deviation inputs to adapt to different market conditions or timeframes. Interpret Signals: A BUY signal indicates a possible reversal or upward movement from the lower band. A SELL signal suggests a potential price decline from the upper band. Combine with Other Indicators: While effective in certain conditions, this strategy performs better when combined with other technical tools, such as RSI or MACD, to confirm trends and avoid false signals. Limitations: This script assumes that price will revert to the mean, which may not hold during strong trends or highly volatile conditions. It is not a standalone trading system and should be backtested and optimized before applying to real trading.
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Danleo14의
Reverse Double Smoothed Relative Strength Index Bands[CC]The Reverse Double Smoothed Relative Strength Index Bands is a custom script of mine that is another part of my RSI indicator series, which I will be publishing over the next week or so. This takes my Double Smoothed Relative Strength Index script and applies the Reverse RSI formula to create a new Bollinger Bands type indicator. This concept can work for almost any oscillator with some slight tweaking. I have a reverse RSI being calculated for each major RSI level to give you an approximation of what the price would look like if that RSI level was hit. Feel free to tweak the RSI levels of course. I will publish more Reverse indicators since that doesn't seem to be a topic that is touched on very frequently. I have color coded the indicator to show darker colors when it is a strong signal and lighter colors for normal signals. Buy when the lines turn green and sell when they turn red. This was a custom request from @kerpiciwuasile so let me know if you want to see me publish another custom script!
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cheatcountry의
2