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Market Structure Confluence [AlgoAlpha]OVERVIEW This script is called "Market Structure Confluence" and it combines classic market structure analysis with a dynamic volatility-based band system to detect shifts in trend and momentum more reliably. It tracks key swing points (higher highs, higher lows, lower highs, lower lows) to define the trend, then overlays a basis and ATR-smoothed volatility bands to catch rejection signals and highlight potential inflection points in the market. CONCEPTS Market structure is the foundation of price action trading, focusing on the relationship between successive highs and lows to understand trend conditions. Break of Structure (BOS) and Change of Character (CHoCH) events are important because they signal when a market might be shifting direction. This script enhances traditional structure by integrating volatility bands, which act like dynamic support/resistance zones based on ATR, allowing it to capture momentum surges and rejections beyond just structural shifts. FEATURES Swing Detection: It detects and labels Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) based on user-defined time horizons, helping traders quickly spot the trend direction. BOS and CHoCH Lines: When a previous swing point is broken, the script automatically plots a Break of Structure (BOS) line. If the break represents a major trend reversal (a CHoCH), it is marked differently to separate simple breakouts from real trend changes. Rejection Signals: Special arrows plot when price pierces a band and then pulls back, suggesting a potential trap move or rejection signal in the direction of the new structure. Alerts: Built-in alerts for structure breaks, CHoCHs, swing points, rejections at bands, and trend flips make it easy to automate setups without manually watching the chart. USAGE Set your preferred swing detection size depending on your timeframe and trading style — smaller numbers for intraday, larger numbers for swing trading. Choose whether you want BOS/CHoCH confirmed by candle closes or by wick breaks. Use the volatility band settings to fine-tune how tightly or loosely the bands hug the price, adjusting sensitivity based on market conditions. When a BOS or CHoCH occurs, or when a rejection happens at the bands, the script will highlight it clearly and optionally trigger alerts. Watch for combinations where both structure breaks and volatility band rejections happen together — those are high-quality trade signals. This setup works best when used with basic trend filtering and higher timeframe confirmation.
Pine Script® indicator
by AlgoAlpha
3
Simple Gold Reversal Detector V2 PRO + EMA + Volume + RSI + WickSimple Gold Reversal Detector V2 PRO is a reversal spotter tool designed for XAUUSD (Gold) on 5-min to 15-min timeframes. It uses candlestick behavior, volume confirmation, trend filtering, and momentum exhaustion to detect high-probability turning points in the market. It is built to filter out weak setups and focus on meaningful reversals. It is not a trend follower and will not catch every reversal. It may give false signals in heavy news or spiky sessions. You still need to manage trades accordingly. REMEBER THAT THIS IS REVERSAL DETECTOR meaning don't enter immediately on trades. WAIT FOR PULLBACK and PRICE ACTION to avoid fakeout . It may give you 100-200-300 pips. might give you also false indication. Features of the indicator: Full control of what you want to filter out Built-in EMA 20/200 (you can cut out your existing ema for other indicator slot) You can adjust Period for Reversal, Volume Moving Average Length and RSI Length that will give result depending on your preference. 🔵 Strict Volume Spike (1.5x) If ON: Only accept reversal signals if the current candle's volume is at least 1.5× higher than the average volume. Purpose: To catch only strong moves supported by big market activity (high participation). 🔵 Strict Wick Size Required If ON: Only accept reversal signals if the candle's wick (top or bottom) is larger than the body. Purpose: To filter signals based on rejection wicks, showing strong rejection from certain prices. 🔵 Strict EMA 200 Trend Filter If ON: Only BUY if price is above EMA 200. Only SELL if price is below EMA 200. Purpose: To align trades with the big trend for safety (trend-following bias). 🔵 Strict Body Size (30%) If ON: Accept candles only if their body size is 30% or smaller compared to the entire candle range (high to low). Purpose: To make sure the reversal candle is small and exhausted, typical behavior before reversals. 🔵 Strict RSI Range (40/60) If ON: Only BUY if RSI is below 40 (oversold area). Only SELL if RSI is above 60 (overbought area). Purpose: To catch reversals when the market is technically overextended. Lookback Period for Reversal 20 Check last 20 candles to determine highest high or lowest low (for detecting reversal zones). Volume Moving Average Length 20 Smooth volume over 20 candles to detect if a candle's volume is "spiking" compared to normal. RSI Length 14 Standard RSI period; used to measure momentum over last 14 candles for overbought/oversold.
Pine Script® indicator
by bolchristian
Pmax + T3Pmax + T3 is a versatile hybrid trend-momentum indicator that overlays two complementary systems on your price chart: 1. Pmax (EMA & ATR “Risk” Zones) Calculates two exponential moving averages (Fast EMA & Slow EMA) and plots them to gauge trend direction. Highlights “risk zones” behind price as a colored background: Green when Fast EMA > Slow EMA (up-trend) Red when Fast EMA < Slow EMA (down-trend) Yellow when EMAs are close (“flat” zone), helping you avoid choppy markets. You can toggle risk-zone highlighting on/off, plus choose to ignore signals in the yellow (neutral) zone. 2. T3 (Triple-Smoothed EMA Momentum) Applies three sequential EMA smoothing (the classic “T3” algorithm) to your chosen source (usually close). Fills the area between successive T3 curves with up/down colors for a clear visual of momentum shifts. Optional neon-glow styling (outer, mid, inner glows) in customizable widths and transparencies for a striking “cyber” look. You can highlight T3 movements only when the line is rising (green) or falling (red), or disable movement coloring.
Pine Script® indicator
by NICK789
1
RSI Full Forecast [Titans_Invest]RSI Full Forecast Get ready to experience the ultimate evolution of RSI-based indicators – the RSI Full Forecast, a boosted and even smarter version of the already powerful: RSI Forecast Now featuring over 40 additional entry conditions (forecasts), this indicator redefines the way you view the market. AI-Powered RSI Forecasting: Using advanced linear regression with the least squares method – a solid foundation for machine learning - the RSI Full Forecast enables you to predict future RSI behavior with impressive accuracy. But that’s not all: this new version also lets you monitor future crossovers between the RSI and the MA RSI, delivering early and strategic signals that go far beyond traditional analysis. You’ll be able to monitor future crossovers up to 20 bars ahead, giving you an even broader and more precise view of market movements. See the Future, Now: • Track upcoming RSI & RSI MA crossovers in advance. • Identify potential reversal zones before price reacts. • Uncover statistical behavior patterns that would normally go unnoticed. 40+ Intelligent Conditions: The new layer of conditions is designed to detect multiple high-probability scenarios based on historical patterns and predictive modeling. Each additional forecast is a window into the price's future, powered by robust mathematics and advanced algorithmic logic. Full Customization: All parameters can be tailored to fit your strategy – from smoothing periods to prediction sensitivity. You have complete control to turn raw data into smart decisions. Innovative, Accurate, Unique: This isn’t just an upgrade. It’s a quantum leap in technical analysis. RSI Full Forecast is the first of its kind: an indicator that blends statistical analysis, machine learning, and visual design to create a true real-time predictive system. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an RSI time series like this: Time → RSI    → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public RSI with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it. RSI Full Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:   •  Overbought: When the RSI is above 70, indicating that the asset may be overbought.   •  Oversold: When the RSI is below 30, indicating that the asset may be oversold.   •  Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear 📈 RSI Forecast: 🔹 RSI (Crossover) MA Forecast 🔹 RSI (Crossunder) MA Forecast 🔹 RSI Forecast 1 > MA Forecast 1 🔹 RSI Forecast 1 < MA Forecast 1 🔹 RSI Forecast 2 > MA Forecast 2 🔹 RSI Forecast 2 < MA Forecast 2 🔹 RSI Forecast 3 > MA Forecast 3 🔹 RSI Forecast 3 < MA Forecast 3 🔹 RSI Forecast 4 > MA Forecast 4 🔹 RSI Forecast 4 < MA Forecast 4 🔹 RSI Forecast 5 > MA Forecast 5 🔹 RSI Forecast 5 < MA Forecast 5 🔹 RSI Forecast 6 > MA Forecast 6 🔹 RSI Forecast 6 < MA Forecast 6 🔹 RSI Forecast 7 > MA Forecast 7 🔹 RSI Forecast 7 < MA Forecast 7 🔹 RSI Forecast 8 > MA Forecast 8 🔹 RSI Forecast 8 < MA Forecast 8 🔹 RSI Forecast 9 > MA Forecast 9 🔹 RSI Forecast 9 < MA Forecast 9 🔹 RSI Forecast 10 > MA Forecast 10 🔹 RSI Forecast 10 < MA Forecast 10 🔹 RSI Forecast 11 > MA Forecast 11 🔹 RSI Forecast 11 < MA Forecast 11 🔹 RSI Forecast 12 > MA Forecast 12 🔹 RSI Forecast 12 < MA Forecast 12 🔹 RSI Forecast 13 > MA Forecast 13 🔹 RSI Forecast 13 < MA Forecast 13 🔹 RSI Forecast 14 > MA Forecast 14 🔹 RSI Forecast 14 < MA Forecast 14 🔹 RSI Forecast 15 > MA Forecast 15 🔹 RSI Forecast 15 < MA Forecast 15 🔹 RSI Forecast 16 > MA Forecast 16 🔹 RSI Forecast 16 < MA Forecast 16 🔹 RSI Forecast 17 > MA Forecast 17 🔹 RSI Forecast 17 < MA Forecast 17 🔹 RSI Forecast 18 > MA Forecast 18 🔹 RSI Forecast 18 < MA Forecast 18 🔹 RSI Forecast 19 > MA Forecast 19 🔹 RSI Forecast 19 < MA Forecast 19 🔹 RSI Forecast 20 > MA Forecast 20 🔹 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear 📉 RSI Forecast: 🔸 RSI (Crossover) MA Forecast 🔸 RSI (Crossunder) MA Forecast 🔸 RSI Forecast 1 > MA Forecast 1 🔸 RSI Forecast 1 < MA Forecast 1 🔸 RSI Forecast 2 > MA Forecast 2 🔸 RSI Forecast 2 < MA Forecast 2 🔸 RSI Forecast 3 > MA Forecast 3 🔸 RSI Forecast 3 < MA Forecast 3 🔸 RSI Forecast 4 > MA Forecast 4 🔸 RSI Forecast 4 < MA Forecast 4 🔸 RSI Forecast 5 > MA Forecast 5 🔸 RSI Forecast 5 < MA Forecast 5 🔸 RSI Forecast 6 > MA Forecast 6 🔸 RSI Forecast 6 < MA Forecast 6 🔸 RSI Forecast 7 > MA Forecast 7 🔸 RSI Forecast 7 < MA Forecast 7 🔸 RSI Forecast 8 > MA Forecast 8 🔸 RSI Forecast 8 < MA Forecast 8 🔸 RSI Forecast 9 > MA Forecast 9 🔸 RSI Forecast 9 < MA Forecast 9 🔸 RSI Forecast 10 > MA Forecast 10 🔸 RSI Forecast 10 < MA Forecast 10 🔸 RSI Forecast 11 > MA Forecast 11 🔸 RSI Forecast 11 < MA Forecast 11 🔸 RSI Forecast 12 > MA Forecast 12 🔸 RSI Forecast 12 < MA Forecast 12 🔸 RSI Forecast 13 > MA Forecast 13 🔸 RSI Forecast 13 < MA Forecast 13 🔸 RSI Forecast 14 > MA Forecast 14 🔸 RSI Forecast 14 < MA Forecast 14 🔸 RSI Forecast 15 > MA Forecast 15 🔸 RSI Forecast 15 < MA Forecast 15 🔸 RSI Forecast 16 > MA Forecast 16 🔸 RSI Forecast 16 < MA Forecast 16 🔸 RSI Forecast 17 > MA Forecast 17 🔸 RSI Forecast 17 < MA Forecast 17 🔸 RSI Forecast 18 > MA Forecast 18 🔸 RSI Forecast 18 < MA Forecast 18 🔸 RSI Forecast 19 > MA Forecast 19 🔸 RSI Forecast 19 < MA Forecast 19 🔸 RSI Forecast 20 > MA Forecast 20 🔸 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Full Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script® indicator
by Titans_Invest
Liquidity Trap Reversal Pro (Radar v2)Liquidity Trap Reversal Pro (Radar v2) is a non-repainting indicator designed to detect hidden liquidity traps at key swing highs and lows. It combines wick analysis, volume spike detection, and optional trend and exhaustion filters to identify high-probability reversal setups. 🔷 Features: Non-Repainting: Pivots confirmed after lookback period, no future leaking. Volume Spike Detection: Filters traps that occur during major liquidity events. EMA Trend Filter (Optional): Focus on traps aligned with the prevailing trend. Higher Timeframe Trend Filter (Optional): Confirm traps using a higher timeframe EMA bias. Exhaustion Guard (Optional): Prevents traps after overextended moves based on ATR stretch. Clean Visuals: Distinct plots for raw trap points vs confirmed traps. Alerts Included: Set alerts for confirmed high/low liquidity traps. 📚 How to Use: Watch for Trap Signals: A Trap High signal suggests a potential bearish reversal. A Trap Low signal suggests a potential bullish reversal. Use Confirmed Signals for Best Entries: Confirmed traps fire only after price moves opposite to the trap direction, adding reliability. Use Trend Filters to Improve Accuracy: In an uptrend (price above EMA), prefer Trap Lows (buy setups). In a downtrend (price below EMA), prefer Trap Highs (sell setups). Use the Exhaustion Guard to Avoid Bad Trades: This filter blocks signals when price has moved too far from trend, helping avoid late entries. Recommended Settings: Best used on 15-minute, 1-hour, or 4-hour charts. Trend filter ON for trending markets. Exhaustion guard ON for volatile or stretched markets. 📈 Important Notes: This script does not repaint once a pivot is confirmed. Alerts trigger only on confirmed trap signals. Always combine signals with sound risk management and trading strategy. Disclaimer: This script is for educational purposes only. It is not investment advice or a guarantee of results. Always do your own research before trading.
Pine Script® indicator
by Finntech1
Cointegration Buy and Sell Signals [EdgeTerminal]The Cointegration Buy And Sell Signals is a sophisticated technical analysis tool to spot high-probability market turning points — before they fully develop on price charts. Most reversal indicators rely on raw price action, visual patterns, or basic and common indicator logic — which often suffer in noisy or trending markets. In most cases, they lag behind the actual change in trend and provide useless and late signals. This indicator is rooted in advanced concepts from statistical arbitrage, mean reversion theory, and quantitative finance, and it packages these ideas in a user-friendly visual format that works on any timeframe and asset class. It does this by analyzing how the short-term and long-term EMAs behave relative to each other — and uses statistical filters like Z-score, correlation, volatility normalization, and stationarity tests to issue highly selective Buy and Sell signals. This tool provides statistical confirmation of trend exhaustion, allowing you to trade mean-reverting setups. It fades overextended moves and uses signal stacking to reduce false entries. The entire indicator is based on a very interesting mathematically grounded model which I will get into down below. Here’s how the indicator works at a high level: EMAs as Anchors: It starts with two Exponential Moving Averages (EMAs) — one short-term and one long-term — to track market direction. Statistical Spread (Regression Residuals): It performs a rolling linear regression between the short and long EMA. Instead of using the raw difference (short - long), it calculates the regression residual, which better models their natural relationship. Normalize the Spread: The spread is divided by historical price volatility (ATR) to make it scale-invariant. This ensures the indicator works on low-priced stocks, high-priced indices, and crypto alike. Z-Score: It computes a Z-score of the normalized spread to measure how “extreme” the current deviation is from its historical average. Dynamic Thresholds: Unlike most tools that use fixed thresholds (like Z = ±2), this one calculates dynamic thresholds using historical percentiles (e.g., top 10% and bottom 10%) so that it adapts to the asset's current behavior to reduce false signals based on market’s extreme volatility at a certain time. Z-Score Momentum: It tracks the direction of the Z-score — if Z is extreme but still moving away from zero, it's too early. It waits for reversion to start (Z momentum flips). Correlation Check: Uses a rolling Pearson correlation to confirm the two EMAs are still statistically related. If they diverge (low correlation), no signal is shown. Stationarity Filter (ADF-like): Uses the volatility of the regression residual to determine if the spread is stationary (mean-reverting) — a key concept in cointegration and statistical arbitrage. It’s not possible to build an exact ADF filter in Pine Script so we used the next best thing. Signal Control: Prevents noisy charts and overtrading by ensuring no back-to-back buy or sell signals. Each signal must alternate and respect a cooldown period so you won’t be overwhelmed and won’t get a messy chart. Important Notes to Remember: The whole idea behind this indicator is to try to use some stat arb models to detect shifting patterns faster than they appear on common indicators, so in some cases, some assumptions are made based on historic values. This means that in some cases, the indicator can “jump” into the conclusion too quickly. Although we try to eliminate this by using stationary filters, correlation checks, and Z-score momentum detection, there is still a chance some signals that are generated can be too early, in the stock market, that's the same as being incorrect. So make sure to use this with other indicators to confirm the movement. How To Use The Indicator: You can use the indicator as a standalone reversal system, as a filter for overbought and oversold setups, in combination with other trend indicators and as a part of a signal stack with other common indicators for divergence spotting and fade trades. The indicator produces simple buy and sell signals when all criteria is met. Based on our own testing, we recommend treating these signals as standalone and independent from each other . Meaning that if you take position after a buy signal, don’t wait for a sell signal to appear to exit the trade and vice versa. This is why we recommend using this indicator with other advanced or even simple indicators as an early confirmation tool. The Display Table: The floating diagnostic table in the top-right corner of the chart is a key part of this indicator. It's a live statistical dashboard that helps you understand why a signal is (or isn’t) being triggered, and whether the market conditions are lining up for a potential reversal. 1. Z-Score What it shows: The current Z-score value of the volatility-normalized spread between the short EMA and the regression line of the long EMA. Why it matters: Z-score tells you how statistically extreme the current relationship is. A Z-score of: 0 = perfectly average > +2 = very overbought < -2 = very oversold How to use it: Look for Z-score reaching extreme highs or lows (beyond dynamic thresholds). Watch for it to start reversing direction, especially when paired with green table rows (see below) 2. Z-Score Momentum What it shows: The rate of change (ROC) of the Z-score: Zmomentum=Zt − Zt − 1 Why it matters: This tells you if the Z-score is still stretching out (e.g., getting more overbought/oversold), or reverting back toward the mean. How to use it: A positive Z-momentum after a very low Z-score = potential bullish reversal A negative Z-momentum after a very high Z-score = potential bearish reversal. Avoid signals when momentum is still pushing deeper into extremes 3. Correlation What it shows: The rolling Pearson correlation coefficient between the short EMA and long EMA. Why it matters: High correlation (closer to +1) means the EMAs are still statistically connected — a key requirement for cointegration or mean reversion to be valid. How to use it: Look for correlation > 0.7 for reliable signals. If correlation drops below 0.5, ignore the Z-score — the EMAs aren’t moving together anymore 4. Stationary What it shows: A simplified "Yes" or "No" answer to the question: “Is the spread statistically stable (stationary) and mean-reverting right now?” Why it matters: Mean reversion strategies only work when the spread is stationary — that is, when the distance between EMAs behaves like a rubber band, not a drifting cloud. How to use it: A "Yes" means the indicator sees a consistent, stable spread — good for trading. "No" means the market is too volatile, disjointed, or chaotic for reliable mean reversion. Wait for this to flip to "Yes" before trusting signals 5. Last Signal What it shows: The last signal issued by the system — either "Buy", "Sell", or "None" Why it matters: Helps avoid confusion and repeated entries. Signals only alternate — you won’t get another Buy until a Sell happens, and vice versa. How to use it: If the last signal was a "Buy", and you’re watching for a Sell, don’t act on more bullish signals. Great for systems where you only want one position open at a time 6. Bars Since Signal What it shows: How many bars (candles) have passed since the last Buy or Sell signal. Why it matters: Gives you context for how long the current condition has persisted How to use it: If it says 1 or 2, a signal just happened — avoid jumping in late. If it’s been 10+ bars, a new opportunity might be brewing soon. You can use this to time exits if you want to fade a recent signal manually Indicator Settings: Short EMA: Sets the short-term EMA period. The smaller the number, the more reactive and more signals you get. Long EMA: Sets the slow EMA period. The larger this number is, the smoother baseline, and more reliable trend bases are generated. Z-Score Lookback: The period or bars used for mean & std deviation of spread between short and long EMAs. Larger values result in smoother signals with fewer false positives. Volatility Window: This value normalizes the spread by historical volatility. This allows you to prevent scale distortion, showing you a cleaner and better chart. Correlation Lookback: How many periods or how far back to test correlation between slow and long EMAs. This filters out false positives when EMAs lose alignment. Hurst Lookback: The multiplier to approximate stationarity. Lower leads to more sensitivity to regime change, higher produces a more stricter filtering. Z Threshold Percentile: This value sets how extreme Z-score must be to trigger a signal. For example, 90 equals only top/bottom 10% of extremes, 80 = more frequent. Min Bars Between Signals: This hard stop prevents back-to-back signals. The idea is to avoid over-trading or whipsaws in volatile markets even when Hurst lookback and volatility window values are not enough to filter signals. Some More Recommendations: We recommend trying different EMA pairs (10/50, 21/100, 5/20) for different asset behaviors. You can set percentile to 85 or 80 if you want more frequent but looser signals. You can also use the Z-score reversion monitor for powerful confirmation.
Pine Script® indicator
by EdgeTerminal
2
Quantum UT BOT by MrCryptoBTCQuantum UT BOT by MrCryptoBTC – Precision Signal Engine (Not For Sale - FREE) How it Works: 
The Quantum UT BOT is a smart, optimized version of the classic UT BOT indicator by Yo_adriiiiaan.
It has been meticulously modified by MrCryptoBTC with a Key Value of 0.5 and an ATR Period of 7, making it faster, more responsive, and more accurate in detecting market shifts.
The system uses Adaptive ATR-based triggers to generate Buy (LONG) and Sell (SHORT) signals with Exit points, helping traders catch trends earlier and lock in profits intelligently. Description:
 Quantum UT BOT is an evolution of the original UT BOT, now tuned for higher precision, faster entries, and smarter exits.
By adjusting the core parameters (Key Value 0.5, ATR Period 7), MrCryptoBTC has transformed the UT BOT into a next-generation signal engine suitable for scalpers, intraday, and swing traders.
The Buy and Sell signals generated by the Quantum UT BOT are clear, early, and reliable — offering a major advantage in volatile markets like Gold, Crypto, and Forex. It is highly recommended to use the Quantum UT BOT together with the STO * Smart Trend Oscillator for a complete smart trading system, providing confirmation and trend filtering for maximum accuracy. Main Features: * Fast Buy/Sell Detection – reacts quickly to market changes * Clear Exit Signals – helps secure profits and reduce drawdowns * Smart Trend Filtering – ATR-adaptive for dynamic conditions * Works on All Timeframes – from 1-minute scalping to daily swings * Perfect Companion to STO * Smart Trend Oscillator ✅ Created by: MrCryptoBTC 
✅ Perfect for: Scalpers, Intraday Traders, Swing Traders
✅ Markets: Gold, Crypto, Forex, Indices
Pine Script® indicator
by MrCryptoBTC
[blackcat] L1 Dynamic EdgeOVERVIEW 📈 The L1 Dynamic Edge is a sophisticated trend-following indicator designed to empower traders with a comprehensive view of market dynamics and precise buy/sell signals. By leveraging multiple Exponential Moving Averages (EMAs) and advanced signal processing, this indicator aims to capture the essence of price momentum and provide actionable insights across various financial instruments and timeframes. 🔑 Key Features: Fully customizable EMA settings Multi-dimensional trend analysis using high, low, and midpoint EMAs Intuitive color-coded trend visualization Accurate buy/sell signals with visual confirmation Flexible alert system for real-time notifications Seamless integration with TradingView's charting tools FEATURES 📉 Advanced Trend Detection: Utilizes three distinct EMAs (high, low, and midpoint) for a holistic view of market trends Employs sophisticated logic to determine rising and falling trends 🌟 Dynamic Visualization: Automatically adjusts the color of EMA plots based on detected trend direction Fills the area between high and low EMAs for enhanced visual clarity 📈 Precision Signal Generation: Identifies potential trend reversals using a combination of price action and EMA behavior Generates clear buy/sell signals based on trend changes 📊 Comprehensive Chart Integration: Displays buy/sell signals as easily identifiable shapes on the chart Adds descriptive labels to signal bars for quick reference 🔔 Customizable Alert System: Provides alert conditions for both buy and sell signals Allows users to stay informed about potential trading opportunities even when away from the chart 🛠️ User-Friendly Interface: Simple input parameters for easy customization Clean and uncluttered chart appearance without overwhelming the user 🌐 Versatile Application: Adaptable to various financial instruments, including stocks, forex, commodities, and cryptocurrencies Effective across different timeframes, from short-term scalping to long-term investing HOW TO USE ✨ Adding the Indicator: Open your TradingView chart Click on "Add Indicator" at the top of the screen Search for " L1 Dynamic Edge" and add it to your chart 🔧 Customizing Settings: Adjust the EMA length in the input panel to suit your trading style and preferences Experiment with different values to find what works best for your specific strategy 🕵️‍♂️ Analyzing Trends: Observe the color of the EMA bands to quickly assess the overall market sentiment Note how the filling between the high and low EMAs responds to price movements 📈 Identifying Opportunities: Watch for buy/sell signals indicated by triangles and labels on the chart Consider these signals as potential entry/exit points for your trades 🎯 Implementing Strategies: Combine the indicator's signals with your own analysis and risk management techniques Use the provided alerts to stay informed about new trading opportunities 🚨 Setting Up Alerts: Configure alert conditions for buy and sell signals Choose your preferred notification method (email, SMS, push notifications, etc. ) 📊 Fine-Tuning Your Approach: Regularly review and analyze the indicator's performance Adjust the EMA length and other parameters as needed to adapt to changing market conditions LIMITATIONS Like any technical indicator, the L1 Dynamic Edge should not be used as a standalone trading system Its effectiveness may be limited during periods of extreme volatility or in highly ranging markets The indicator's performance will vary depending on the specific instrument and timeframe being analyzed New traders might need some time to fully understand and effectively utilize all features of the indicator NOTES This script utilizes Pine Script version 5 for optimal performance and compatibility with TradingView's latest features The default EMA length is set to 3, which provides a balance between responsiveness and noise reduction The indicator's color scheme has been carefully chosen to ensure maximum visibility while maintaining a clean chart appearance For best results, consider combining this indicator with other forms of technical and fundamental analysis Regular backtesting and forward testing are crucial to optimize the indicator's settings for your specific trading style and market conditions THANKS We extend our deepest gratitude to the vibrant TradingView community for their invaluable feedback, suggestions, and support throughout the development process of the L1 Dynamic Edge indicator. Special thanks to all the dedicated traders who took the time to test and refine this tool, helping us create a more robust and user-friendly experience for everyone.
Pine Script® indicator
by blackcat1402
Gabriel's Adaptive MA📜 Gabriel's Adaptive MA — Indicator Description Gabriel's Adaptive Moving Average (GAMA) is a dynamic trend-following indicator that intelligently adjusts its smoothing based on both trend strength and market volatility. It is designed to provide faster responsiveness during strong moves while maintaining stability during choppy or consolidating periods. 🧠 What it does: This indicator plots a custom-built, highly dynamic Moving Average that adapts itself intelligently based on: Trend Strength (via Perry Kaufman's Efficiency Ratio) Market Volatility (via Tushar Chande's Volatility Ratio) It reacts faster when the market is trending strongly and/or highly volatile, and it smooths out and slows down when the market is choppy or calm. 🔍 How it works (step-by-step): 1. User Inputs: length: (default 14) How many bars to look back for calculations. fastSC: Fastest possible smoothing constant (hardcoded as 2 / (2+1)) slowSC: Slowest possible smoothing constant (hardcoded as 2 / (30+1)) (These are used to control how fast/slow the KAMA can react.) 2. Calculate Trendiness — Kaufman Efficiency Ratio (ER): Net Change = Absolute difference between current close and close from length bars ago. Sum of Absolute Changes = Sum of absolute price changes between every bar inside the length window. Efficiency Ratio (ER) = Net Change divided by Sum of Changes. ✅ If ER is close to 1 → Smooth, trending market. ✅ If ER is close to 0 → Choppy, sideways market. 3. Calculate Bumpiness — Volatility Ratio (VR): Short-Term Volatility = Standard deviation of close over length. Long-Term Volatility = Standard deviation of close over length * 2. Volatility Ratio (VR) = Short-Term Volatility divided by Long-Term Volatility. ✅ If VR is >1 → Market is becoming more volatile recently. ✅ If VR is <1 → Market is calming down. 4. Create the Hybrid Alpha: Multiply ER × VR. Then square the result (math.pow(..., 2)). This hybrid alpha decides how aggressive the MA should be based on both trend and volatility. If ER and VR are both strong → big alpha → fast movement. If ER and/or VR are weak → small alpha → slow movement. 5. Calculate the Final Adaptive Smoothing Constant (hybridSC): hybridSC = slowSC + hybridAlpha × (fastSC - slowSC) This smoothly interpolates between the slowest and fastest smoothing depending on market conditions. 6. Calculate and Plot the Adaptive MA: The moving average is manually calculated: hybridMA := na(hybridMA ) ? close : hybridMA + hybridSC * (close - hybridMA ) It behaves like an EMA but with dynamic smoothing, not a fixed alpha. ✅ If hybridSC is high → MA hugs the price closely. ✅ If hybridSC is low → MA stays smooth and resists noise. Finally, it plots this Adaptive MA on the chart in blue color. 📊 Visual Summary Market Type What Happens to GAMA Trending hard + volatile Follows price quickly Trending hard + calm Follows steadily but carefully Sideways + volatile Reacts carefully (won't chase noise) Sideways + calm Smooths heavily (avoids fakeouts) ✨ Main Strengths: Adapts automatically without you tuning settings manually every time market changes. Responds smartly to both trend quality (ER) and market energy (VR). Reduces lag during real moves. Filters out false signals during choppy mess. 🧪 Key Innovation compared to normal MAs: Traditional MA Gabriel's Adaptive MA Same smoothing every bar Dynamic smoothing every bar Slow during fast moves Adapts fast during real moves No understanding of volatility or trendiness Full market sensitivity ⚡ **Simple One-Line Description:** "Gabriel's Adaptive MA is a dynamic, trend-and-volatility-sensitive moving average that intelligently adjusts its speed to match market conditions."
Pine Script® indicator
by OneWallStreetQuant
3
BTC Growth | AlchimistOfCrypto🌈 BTC Regression Bands & Halvings – Unveiling Bitcoin's Logarithmic Growth Fields 🌈 "The Bitcoin Regression Bands, engineered through advanced logarithmic mathematics, visualizes the probabilistic distribution of Bitcoin's price evolution within a multi-cycle growth paradigm. This indicator employs principles from hyperbolic regression where decay coefficients create mathematical boundaries that define Bitcoin's long-term value progression. Our implementation features algorithmically enhanced rainbow visualization derived from extensive cycle analysis, creating a dynamic representation of Bitcoin's logarithmic growth with adaptive color gradients that highlight critical halving-based phase transitions in the asset's monetary evolution." 📊 Professional Trading Application The Bitcoin Regression Bands transcends traditional price prediction models with a sophisticated multi-band illumination system that reveals the underlying structure of Bitcoin's monetary evolution. Scientifically calibrated across multiple halving cycles and featuring seamless rainbow visualization, it enables investors to perceive Bitcoin's position within its macro growth trajectory with unprecedented clarity. - Visual Theming 🎨 Scientifically designed rainbow gradient optimized for cycle pattern recognition: - Violet-Blue: Lower value accumulation zones with highest mathematical growth potential - Green: Fair value equilibrium zone representing the regression mean - Yellow-Orange: Moderate overvaluation regions indicating potential resistance - Red: Statistical extreme zones indicating mathematical cycle peaks - Halving Visualization 🔍 - Precise cycle boundaries demarcating Bitcoin's fundamental supply shock events - Adaptive band spacing based on mathematical cycle progression - Multiple sub-cycle markers revealing the probabilistic nature of Bitcoin's trajectory 🚀 How to Use 1. Identify Macro Position ⏰: Locate Bitcoin's current price relative to the regression bands 2. Understand Cycle Context 🎚️: Note position within the current halving cycle for time-based analysis 3. Assess Mathematical Value 🌈: Determine potential over/undervaluation based on band location 4. Adjust Investment Strategy 🔎: Modulate position sizing based on mathematical value assessment 5. Identify Cycle Phases ✅: Monitor band transitions to detect accumulation and distribution zones 6. Invest with Precision 🛡️: Utilize lower bands for strategic accumulation, upper bands for strategic reduction 7. Manage Risk Dynamically 🔐: Scale investment allocations based on mathematical cycle positioning
Pine Script® indicator
by AlchimistOfCrypto
1
Bitcoin as % Global M2 signalThis script provides signal system: Buy signal: each time the YoY of the Global M2 rises more than 2.5% while the distance between the bitcoin price as a percentage of the Global M2 is below its yearly SMA. Sell signal: the distance between the bitcoin price as a percentage of the Global M2 and its yearly SMA is > 0.7 This is a very simple system, but it seems to work pretty well to ride the bitcoin price cycle wave. The parameters are hard coded but they can be easily changed to test different levels for both the buy and sell signals.
Pine Script® indicator
by WKMAnalytics
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders: ✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity. ✔ Detect periods of capital inflow or outflow from stablecoins. ✔ Identify market sentiment shifts based on stablecoin reserves. 🔶 CALCULATION The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap: Stablecoin Aggregation • Inputs: USDT, USDC, DAI, USDD (daily closing values). BUSD Market Cap (Glassnode data). • Total Stablecoin Supply: Sum of the listed stablecoins' market caps. Stablecoin Supply Ratio (SSR) • Formula: SSR = Bitcoin Market Cap / Total Stablecoin Supply • Normalized SSR: Normalized by dividing SSR by its 200-day SMA. Bollinger Bands • Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations. Example Calculation: ssr = btcmc / stablecoin_liq ratio = ssr / ta.sma(ssr, 200) basis = ta.sma(ratio, 200) dev = 2 * ta.stdev(ratio, 200) upper = basis + dev lower = basis - dev 🔶 DETAILS Visual Features: • Normalized SSR: Plotted as a light green line. • Upper Band: Red line indicating SSR overbought zone. • Lower Band: Green line signaling SSR oversold zone. Interpretation: • High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power. • Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure. • Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes. 🔶 EXAMPLES Market insights include: • Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain. • Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand. 🔶 SETTINGS Customization Options: • MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation. • Period: Adjust the 200-day smoothing period. • Deviation Multiplier: Modify the standard deviation multiplier (default: 2). The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
Pine Script® indicator
by AlphaExtract
Anchored Moving Average by TradeSeekersThis script plots an SMA that resets based on the selected anchored timeframe, by default it is 1D. There exists some other AMA scripts but I didn't find anything that plotted the non-anchored MA alongside the AMA and displayed the point of convergence. The non-anchored MA presents slightly opaque as a circle plot until the anchored MA converges. Until the anchored MA contains enough data an simple average is calculated of all source prices collected starting from the anchor. For example, if the timeframe has reset and source is set to closing prices, then after the first bar the AMA is essentially the last closing price. After two bars have closed then the AMA is an average of the last two closing prices. Future updates may add additional average types as time permits.
Pine Script® indicator
by TradeSeekers
[blackcat] L2 EMA NexusOVERVIEW The L2 EMA Nexus is a comprehensive trading indicator that utilizes a three-tiered Exponential Moving Average (EMA) system to identify potential trading opportunities. This script combines technical analysis with robust risk management features to help traders make informed decisions. KEY FEATURES • Triple EMA Analysis: Customizable source inputs for each EMA Adjustable length parameters (3, 8, 21 periods) Dynamic color coding based on trend direction Real-time price action monitoring • Advanced Entry Signals: High-low price action verification EMA cross-overs and cross-unders Multi-timeframe trend confirmation Dynamic position sizing limits • Risk Management: Configurable Take Profit levels Flexible Stop Loss settings Optional TP/SL activation Clear visual indicators for levels HOW TO USE Setup Initial Parameters: Configure EMA lengths for your timeframe Set Take Profit percentage (default 25%) Define Stop Loss percentage (default 2.5%) Adjust pyramiding limit as needed Enable/Disable Features: Toggle TP/SL settings based on strategy Customize alert conditions Modify visual labels for clarity Monitor Trading Signals: Watch for buy/sell labels Track TP/SL levels Monitor position status TRADE MANAGEMENT • Entry Conditions: Long Entry: Higher high with rising EMA1 and stable EMA3 Short Entry: Lower low with falling EMA1 and stable EMA2 • Exit Conditions: Take Profit: Price reaches defined percentage above/below entry Stop Loss: Price reaches defined percentage below/above entry • Position Control: Limited to specified number of positions Automatic position tracking Clear visual indication of current trades TECHNICAL DETAILS • EMA Calculation: Uses Exponential Moving Average for trend following Color-coded based on 2-bar trend direction Multiple timeframe compatibility • Label System: Clear buy/sell markers Take Profit and Stop Loss indicators Real-time position status updates • Alert Configuration: Customizable alert messages Multiple alert conditions Option to enable/disable specific alerts LIMITATIONS ⚠️ Important Considerations: Results may vary across different market conditions Historical performance does not guarantee future results Always backtest strategy before live trading Consider complementing with additional analysis tools BEST PRACTICES • Recommended Timeframes: Daily charts for long-term strategies 4-hour charts for swing trading 1-hour charts for short-term trading • Risk Management Tips: Start with small position sizes Always use TP/SL in live trading Monitor market volatility before entering trades TROUBLESHOOTING • Common Issues: Ensure proper chart resolution Verify alert conditions are enabled Check for conflicting indicators • Performance Optimization: Use appropriate timeframe for your strategy Adjust indicator parameters based on market conditions Monitor for potential overfitting
Pine Script® indicator
by blackcat1402
Anchored Bollinger Band Range [SS]This is the anchored Bollinger band indicator. What it does? The anchored BB indicator: Takes a user defined range and calculates the Standard Deviation of the entire selected range for the high and low values. Computes a moving average of the high and low during the selected period (which later becomes the breakout range average) Anchors to the last high and last low of the period range to add up to 4 standard deviations to the upside and downside, giving you 4 high and low targets. How can you use it? The anchored BB indicator has many applicable uses, including Identifying daily ranges based on premarket trading activity ( see below ): Finding breakout ranges for intraday pattern setups ( see below ): Identified pattern of interest: Applying Anchored BB: Identifying daily or pattern biases based on the position to the opening breakout range average (blue line). See the examples with explanations: ex#1: ex#2: The Opening Breakout Average As you saw in the examples above, the blue line represents the opening breakout range average. This is the average high of the period of interest and the average low of the period of interest. Price action above this line would be considered Bullish, and Bearish if below. This also acts as a retracement zone in non-trending markets. For example: Best Use Cases Identify breakout ranges for patterns on larger timeframes. For example This pattern on SPY, if we overlay the Anchored BB: You want to see it actually breakout from this range and hold to confirm a breakout. Failure to exceed the BB range, means that it is just ranging with no real breakout momentum. Identify conservative ranges for a specific period in time, for example QQQ: Worst Use Cases Using it as a hard and fast support and resistance indicator. This is not what it is for and ranges can be exceeded with momentum. The key is looking for whether ranges are exceeded (i.e. high momentum, thus breakout play) or they are not (thus low volume, rangy). Using it for longer term outlooks. This is not ideal for long term ranges, as with any Bollinger/standard deviation based approach, it is only responsive to CURRENT PA and cannot forecast FUTURE PA. User Inputs The indicator is really straight forward. There are 2 optional inputs and 1 required input. Period Selection: Required. Selects the period for the indicator to perform the analysis on. You just select it with your mouse on the chart. Visible MA: Optional. You can choose to have the breakout range moving average visible or not. Fills: Optional. You can choose to have the fills plotted or not. And that is the indicator! Very easy to use and hope you enjoy and find it helpful! As always, safe trades everyone! 🚀
Pine Script® indicator
by Steversteves
3