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Regressions

Support and Resistance Logistic Regression | Flux Charts💎 GENERAL OVERVIEW Introducing our new Logistic Regression Support / Resistance indicator! This tool leverages advanced statistical modeling "Logistic Regressions" to identify and project key price levels where the market is likely to find support or resistance. For more information about the process, please check the "HOW DOES IT WORK ?" section. Logistic Regression Support / Resistance Features : Intelligent S/R Identification : The indicator uses a logistic regression model to intelligently identify and plot significant support and resistance levels. Predictive Probability : Each identified level comes with a calculated probability, indicating how likely it is to act as a true support or resistance based on historical data. Retest & Break Labels : The indicator clearly marks on your chart when a detected support or resistance level is retested (price touches and respects the level) or broken (price decisively crosses through the level). Alerts : Real-time alerts for support retests, resistance retests, support breaks, and resistance breaks. Customizable : You can change support & resistance line style, width and colors. 🚩 UNIQUENESS What makes this indicator truly unique is its application of logistic regression to the concept of support and resistance. Instead of merely identifying historical highs and lows, our indicator uses a statistical model to predict the future efficacy of these levels. It analyzes underlying market conditions (like RSI and body size at pivot formation) to assign a probability to each potential S/R zone. This predictive insight, combined with dynamic, real-time labeling of retests and breaks, provides a more robust and adaptive understanding of market structure than traditional, purely historical methods. 📌HOW DOES IT WORK ? The Logistic Regression Support / Resistance indicator operates in several key steps: First, it identifies significant pivot highs and lows on the chart based on a user-defined "Pivot Length." These pivots are potential areas of support or resistance. For each detected pivot, the indicator extracts relevant market data at that specific point, including the RSI (Relative Strength Index) and the Body Size (the absolute difference between the open and close price of the candle). These serve as input features for the model. The core of the indicator lies in its logistic regression model. This model is continuously trained on past pivot data and their subsequent behavior (i.e., whether they were "respected" as support/resistance multiple times). It learns the relationship between the extracted features (RSI, Body Size) and the likelihood of a pivot becoming a significant S/R level. When a new pivot is identified, the model uses its learned insights to calculate a prediction value—a probability (from 0 to 1) that this specific pivot will act as a strong support or resistance. If the calculated probability exceeds a user-defined "Probability Threshold," the pivot is designated a "Regression Pivot" and drawn on the chart as a support or resistance line. The indicator then actively tracks how price interacts with these levels, displaying "R" labels for retests when the price bounces off the level and "B" labels for breaks when the price closes beyond it. ⚙️ SETTINGS 1. General Configuration Pivot Length: This setting defines the number of bars used to determine a significant high or low for pivot detection. Target Respects: This input specifies how many times a level must be "respected" by price action for it to be considered a strong support or resistance level by the underlying model. Probability Threshold: This is the minimum probability output from the logistic regression model for a detected pivot to be considered a valid support or resistance level and be plotted on the chart. 2. Style Show Prediction Labels: Enable or disable labels that display the calculated probability of a newly identified regression S/R level. Show Retests: Toggle the visibility of "R" labels on the chart, which mark instances where price has retested a support or resistance level. Show Breaks: Toggle the visibility of "B" labels on the chart, which mark instances where price has broken through a support or resistance level.
Penunjuk Pine Script®
oleh fluxchart
17
TrueTrend MaxRThe TrueTrend MaxR indicator is designed to identify the most consistent exponential price trend over extended periods. It uses statistical analysis on log-transformed prices to find the trendline that best fits historical price action, and highlights the most frequently tested or traded level within that trend channel. For optimal results, especially on high timeframes such as weekly or monthly, it is recommended to use this indicator on charts set to logarithmic scale. This ensures proper visual alignment with the exponential nature of long-term price movements. How it works The indicator tests 50 different lookback periods, ranging from 300 to 1280 bars. For each period, it: - Applies a linear regression on the natural logarithm of the price - Computes the slope and intercept of the trendline - Calculates the unbiased standard deviation from the regression line - Measures the correlation strength using Pearson's R coefficient The period with the highest Pearson R value is selected, meaning the trendline drawn corresponds to the log-scale trend with the best statistical fit. Trendline and deviation bands Once the optimal period is identified, the indicator plots: - A main log-scale trendline - Upper and lower bands, based on a user-defined multiple of the standard deviation These bands help visualize how far price deviates from its core trend, and define the range of typical fluctuations. Point of Control (POC) Inside the trend channel, the space between upper and lower bands is divided into 15 logarithmic levels. The script evaluates how often price has interacted with each level, using one of two selectable methods: - Touches: Counts the number of candles crossing each level - Volume: Weighs each touch by the traded volume at that candle The level with the highest cumulative interaction is considered the dynamic Point of Control (POC), and is plotted as a line. Annualized performance and confidence display When used on daily or weekly timeframes, the script also calculates the annualized return (CAGR) based on the detected trend, and displays: - A performance estimate in percentage terms - A textual label describing the confidence level based on the Pearson R value Why this indicator is useful - Automatically detects the most statistically consistent exponential trendline - Designed for log-scale analysis, suited to long-term investment charts - Highlights key price levels frequently visited or traded within the trend - Provides objective, data-based trend and volatility insights - Displays annualized growth rate and correlation strength for quick evaluation Notes - All calculations are performed only on the last bar - No future data is used, and the script does not repaint - Works on any instrument or timeframe, with optimal use on higher timeframes and logarithmic scaling
Penunjuk Pine Script®
oleh Julien_Eche
3
Custom Paul MACD-likePaul MACD is an indicator created by David Paul. It is implemented to effectively represent trend periods and non-trend (sideways/consolidation) periods, and its calculation method is particularly designed to reduce whipsaw. Unlike the existing MACD which uses the difference between short-term (12) and long-term (26) exponential moving averages (EMA), Paul MACD has a different calculation method. This indicator uses a "center value" or "intermediate value". Calculation occurs when this intermediate value is higher than the High value (specifically, the difference between the center and High is calculated) or lower than the Low value (specifically, the difference between the center and Low is calculated). Otherwise, the value becomes 0. Here, the High and Low values are intended to be smoothly reflected using Smoothed Moving Average (SMMA). The indicator's method itself (using SMMA and ZLMA) is aimed at diluting whipsaws. Thanks to this calculation method, in sections where whipsaw occurs, meaning when the intermediate value is between High and Low, the indicator value is expressed as 0 and appears as a horizontal line (zero line). This serves to visually clearly show sideways/consolidation periods.
Penunjuk Pine Script®
oleh ihexago
Linear Regression ForecastDescription: This indicator computes a series of simple linear regressions anchored at the current bar, using look-back windows from 2 bars up to the user-defined maximum. Each regression line is projected forward by the same number of bars as its look-back, producing a family of forecast endpoints. These endpoints are then connected into a continuous polyline: ascending segments are drawn in green, and descending segments in red. Inputs: maxLength – Maximum number of bars to include in the longest regression (minimum 2) priceSource – Price series used for regression (for example, close, open, high, low) lineWidth – Width of each line segment Calculation: For each window size N (from 2 to maxLength): • Compute least-squares slope and intercept over the N most recent bars (with bar 0 = current bar, bar 1 = one bar ago, etc.). • Project the regression line to bar_index + N to obtain the forecast price. Collected forecast points are sorted by projection horizon and then joined: • First segment: current bar’s price → first forecast point • Subsequent segments: each forecast point → next forecast point Segment colors reflect slope direction: green for non-negative, red for negative. Usage: Apply this overlay to any price chart. Adjust maxLength to control the depth and reach of the forecast fan. Observe how shorter windows produce nearer-term, more reactive projections, while longer windows yield smoother, more conservative forecasts. Use the colored segments to gauge the overall bias of the fan at each step. Limitations: This tool is for informational and educational purposes only. It relies on linear regression assumptions and past price behavior; it does not guarantee future performance. Users should combine it with other technical or fundamental analyses and risk management practices.
Penunjuk Pine Script®
oleh Tradenometry
Tangent Extrapolation ForecastTangent Extrapolation Forecast This indicator visually projects price direction by drawing a smoothed sequence of tangent lines based on recent price movements. For each bar in a user-defined lookback window, it calculates the slope over a smoothing period and extends the projected price forward. The resulting polyline forecast connect the endpoints of the extrapolations, and is color-coded to reflect directional changes: green for upward moves, red for downward, and gray for flat segments. This tool can assist traders in visualizing short-term momentum and potential trend continuity without introducing artificial future gaps. Inputs: Bars to Use: Number of historical bars used in the forecast. Slope Smoothing Window: The number of bars used to calculate slope for projection. Source: Price input for calculations (default is close). This indicator does not generate buy/sell signals. It is intended as a visual aid to support discretionary analysis.
Penunjuk Pine Script®
oleh Tradenometry
Linear Volume MACD | Lyro RS📊 Linear Volume MACD | Lyro RS is an advanced momentum and trend detection tool that fuses price action with volume-weighted MACD logic and linear regression analysis . Designed for traders seeking deeper insights into market strength and directional conviction, this indicator highlights trend shifts, volume anomalies, and potential reversal zones with precision. ✨ Key Features : 🔁 Multi-Mode Analysis: Switch between Linear Regression , Strong/Weak Trend , or Volume MACD logic. 📐 Volume-Adjusted MACD: Incorporates volume for a more realistic momentum view. 📊 Linear Regression Signal: Smoother and more reactive trend analysis. 🎯 Dynamic Stdev Bands: Visualize ±1 and ±2 standard deviation thresholds for anomaly detection. 🌈 Custom Color Themes: Choose from built-in palettes or define your own bullish/bearish signal colors. ⚠️ Alert Conditions: Built-in alerts notify you of potential trend shifts across all signal modes. 📈 How It Works : 🧮 MACD Core: Uses volume-weighted price to generate fast and slow EMAs, forming the MACD and signal lines. 📉 Histogram Logic: Histogram is either the traditional MACD histogram or its linear regression version. 📊 Signal Modes:   • Linear Regression: Detect trend based on smoothed MACD behavior.   • Strong/Weak Trend: Identifies accelerating/decelerating trend strength.   • Volume MACD: Classic volume MACD behavior for divergence spotting. 📏 Stdev Bands: Calculated over a long period (default 200) to highlight statistically significant moves. 🎨 Color-coded Feedback: Bar and background colors adjust dynamically with market condition. ⚙️ Customization Options : 🔄 Choose your Signal Type from three unique analysis modes. 📏 Modify Fast/Slow/Signal lengths and Regression parameters to suit your strategy. 📈 Enable or disable Stdev Bands and adjust multiplier. 🎨 Select from Classic, Mystic, Accented, or Royal color palettes — or create your own. 📌 Use Cases : 🟢 Identify trend continuation or reversal zones with volume-adjusted signals. 🔴 Detect volatility breakouts using standard deviation bands. 🧭 Use in confluence with price structure, RSI, or market sentiment. ⚠️ Disclaimer : This indicator is for educational purposes only. It is not financial advice. Always use in conjunction with your own research and risk management strategy.
Penunjuk Pine Script®
oleh LyroRS
1
Weighted Regression Bands (Zeiierman)█ Overview Weighted Regression Bands is a precision-engineered trend and volatility tool designed to adapt to the real market structure instead of reacting to price noise. This indicator analyzes Weighted High/Low medians and applies user-selectable smoothing methods — including Kalman Filtering, ALMA, and custom Linear Regression — to generate a Fair Value line. Around this, it constructs dynamic standard deviation bands that adapt in real-time to market volatility. The result is a visually clean and structurally intelligent trend framework suitable for breakout traders, mean reversion strategies, and trend-driven analysis. █ How It Works ⚪ Structural High/Low Analysis At the heart of this indicator is a custom high/low weighting system. Instead of using just the raw high or low values, it calculates a midline = (high + low) / 2, then applies one of three weighting methods to determine which price zones matter most. Users can select the method using the “Weighted HL Method” setting: Simple Selects the single most dominant median (highest or lowest) in the lookback window. Ideal for fast, reactive signals. Advanced Ranks each bar based on a composite score: median × range × recency. This method highlights structurally meaningful bars that had both volatility and recency. A built-in Kalman filter is applied for extra stability. Smooth Blends multiple bars into a single weighted average using smoothed decay and range. This provides the softest and most stable structural response. ⚪ Smoothing Methods (ALMA / Linear Regression) ALMA provides responsive, low-lag smoothing for fast trend reading. Linear Regression projects the Fair Value forward, ideal for trend modeling. ⚪ Kalman Smoothing Filter Before trend calculations, the indicator applies an optional Kalman-style smoothing filter. This helps: Reduce choppy false shifts in trend, Retain signal clarity during volatile periods, Provide stability for long-term setups. ⚪ Deviation Bands (Dynamic Volatility Envelopes) The indicator builds ±1, ±2, and ±3 standard deviation bands around the fair value line: Calculated from the standard deviation of price, Bands expand and contract based on recent volatility, Visualizes potential overbought/oversold or trending conditions. █ How to Use ⚪ Trend Trading & Filtering Use the Fair Value line to identify the dominant direction. Only trade in the direction of the slope for higher probability setups. ⚪ Volatility-Based Entries Watch for price reaching outer bands (+2σ, +3σ) for possible exhaustion. Mean reversion entries become higher quality when far from Fair Value. █ Settings Length – Lookback for Weighted HL and trend smoothing Deviation Multiplier – Controls how wide the bands are from the fair value line Method – Choose between ALMA or Linear Regression smoothing Smoothing – Strength of Kalman Filter (1 = none, <1 = stronger smoothing) ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. 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.
Penunjuk Pine Script®
oleh Zeiierman
11
Regression Slope ShiftNormalized Regression Slope Shift + Dynamic Histogram This indicator detects subtle shifts in price momentum using a rolling linear regression approach. It calculates the slope of a linear regression line for each bar over a specified lookback period, then measures how that slope changes from bar to bar. Both the slope and its change (delta) are normalized to a -1 to 1 scale for consistent visual interpretation across assets and timeframes. A signal line (EMA) is applied to the slope delta to help identify turning points and crossovers. Key features: - Normalized slope and slope change lines - Dynamic histogram of slope delta with transparency based on magnitude - Customizable colors for all visual elements - Signal line for crossover-based momentum shifts This tool helps traders anticipate trend acceleration or weakening before traditional momentum indicators react, making it useful for early trend detection, divergence spotting, and confirmation signals.
Penunjuk Pine Script®
oleh Tradenometry
1
Cointegration Heatmap & Spread Table [EdgeTerminal]The Cointegration Heatmap is a powerful visual and quantitative tool designed to uncover deep, statistically meaningful relationships between assets. Unlike traditional indicators that react to price movement, this tool analyzes the underlying statistical relationship between two time series and tracks when they diverge from their long-term equilibrium — offering actionable signals for mean-reversion trades . What Is Cointegration? Most traders are familiar with correlation, which measures how two assets move together in the short term. But correlation is shallow — it doesn’t imply a stable or predictable relationship over time. Cointegration, however, is a deeper statistical concept: Two assets are cointegrated if a linear combination of their prices or returns is stationary , even if the individual series themselves are non-stationary. Cointegration is a foundational concept in time series analysis, widely used by hedge funds, proprietary trading firms, and quantitative researchers. This indicator brings that institutional-grade concept into an easy-to-use and fully visual TradingView indicator. This tool helps answer key questions like: “Which stocks tend to move in sync over the long term?” “When are two assets diverging beyond statistical norms?” “Is now the right time to short one and long the other?” Using a combination of regression analysis, residual modeling, and Z-score evaluation, this indicator surfaces opportunities where price relationships are stretched and likely to snap back — making it ideal for building low-risk, high-probability trade setups. In simple terms: Cointegrated assets drift apart temporarily, but always come back together over time. This behavior is the foundation of successful pairs trading. How the Indicator Works Cointegration Heatmap indicator works across any market supported on TradingView — from stocks and ETFs to cryptocurrencies and forex pairs. You enter your list of symbols, choose a timeframe, and the indicator updates every bar with live cointegration scores, spread signals, and trade-ready insights. Indicator Settings: Symbol list: a customizable list of symbols separated by commas Returns timeframe: time frame selection for return sampling (Weekly or Monthly) Max periods: max periods to limit the data to a certain time and to control indicator performance This indicator accomplishes three major goals in one streamlined package: Identifies stable long-term relationships (cointegration) between assets, using a heatmap visualization. Tracks the spread — the difference between actual prices and the predicted linear relationship — between each pair. Generates trade signals based on Z-score deviations from the mean spread, helping traders know when a pair is statistically overextended and likely to mean revert. The math: Returns are calculated using spread tickers to ensure alignment in time and adjust for dividends, splits, and other inconsistencies. For each unique pair of symbols, we perform a linear regression Yt​=α+βXt​+ε Then we compute the residuals (errors from the regression): Spreadt​=Yt​−(α+βXt​) Calculate the standard deviation of the spread over a moving window (default: 100 samples) and finally, define the Cointegration Score: S=1/Standard Deviation of Residuals This means, the lower the deviation, the tighter the relationship, so higher scores indicate stronger cointegration. Always remember that cointegration can break down so monitor the asset over time and over multiple different timeframes before making a decision. How to use the indicator The heatmap table: The indicator displays 2 very important tables, one in the middle and one on the right side. After entering your symbols, the first table to pay attention to is the middle heatmap table. Any assets with a cointegration value of 25% is something to pay attention to and have a strong and stable relationship. Anything below is weak and not tradable. Additionally, the 40% level is another important line to cross. Assets that have a cointegration score of over 40% will most likely have an extremely strong relationship. Think about it this way, the higher the percentage, the tighter and more statistically reliable the relationship is. The spread table: After finding a good asset pair using heatmap, locate the same pair in the spread table (right side). Here’s what you’ll see on the table: Spread: Current difference between the two symbols based on the regression fit Mean: Historical average of that spread Z-score: How far current spread is from the mean in standard deviations Signal: Trade suggestion: Short, Long, or Neutral Since you’re expecting mean reversion, the idea is that the spread will return to the average. You want to take a trade when the z-score is either over +2 or below -2 and exit when z-score returns to near 0. You will usually see the trade suggestion on the spread chart but you can make your own decision based on your risk level. Keep in mind that the Z-score for each pair refers to how off the first asset is from the mean compared to the second one, so for example if you see STOCKA vs STOCKB with a Z-score of -1.55, we are regressing STOCKB (Y) on STOCKA (X). In this case, STOCKB is the quoted asset and STOCKA is the base asset. In this case, this means that STOCKB is much lower than expected relative to STOCKA, so the trade would be a long position on stock B and short position on stock A.
Penunjuk Pine Script®
oleh EdgeTerminal
2
Index Futures vs Cash ArbitrageThis indicator measures the statistical spread between major stock index futures and their corresponding cash indices (e.g., ES vs SPX, NQ vs NDX) using Z-score normalization. It automatically detects commonly traded index pairs (S&P 500, Nasdaq, Dow Jones, Russell 2000) and calculates a smoothed spread between futures and spot prices. A Z-score is then derived from this spread to highlight potential overpricing or underpricing conditions. Traders can use customizable thresholds to identify mean-reversion opportunities where the futures contract may be temporarily overvalued or undervalued relative to the index. The histogram highlights the direction of the Z-score (green = futures > index, red = futures < index), while built-in alerts notify users of key threshold breaches or zero-line crosses. This tool is designed for discretionary traders, pairs traders, or anyone exploring statistical arbitrage strategies between futures and spot markets. It is not a buy/sell signal by itself and should be used with additional confluence or risk management techniques.
Penunjuk Pine Script®
oleh Tradenometry
PolyBand Convergence System (PBCS)PolyBand Convergence System (PBCS) The PolyBand Convergence System (PBCS) is an advanced technical analysis indicator that combines multiple polynomial regressions with statistical bands to identify trend strength and potential reversal zones. Key Features Multi-Degree Polynomial Analysis: Combines 1st, 2nd, 3rd, and 4th degree polynomial regressions into a composite regression line Adaptive Statistical Bands: Uses percentile-based bands enhanced with standard deviation multipliers Asymmetric Volatility Measurement: Separately calculates upside and downside volatility for more accurate band placement Smart Trend Detection: Identifies bullish, bearish, or neutral market conditions based on price position relative to bands How It Works PBCS creates a composite regression line from multiple polynomial fits to better capture the underlying price structure. This line is then surrounded by adaptive bands that represent statistical thresholds for price movement. When price breaks above the upper band, a bullish trend is signaled; when it breaks below the lower band, a bearish trend is indicated. Customization Options Regression Settings: Adjust source data, lookback period, and smoothing parameters Percentile Controls: Fine-tune the statistical thresholds for upper and lower bands Volatility Sensitivity: Modify standard deviation multipliers to control band width Visual Preferences: Choose from multiple color schemes to match your trading platform Disclaimer This indicator is provided for educational and informational purposes only and does not constitute investment advice. Trading involves risk and may result in financial loss. Always perform your own research and consult with a qualified financial advisor before making any trading decisions.
Penunjuk Pine Script®
oleh Galeen
1
Kernel Regression Bands SuiteMulti-Kernel Regression Bands A versatile indicator that applies kernel regression smoothing to price data, then dynamically calculates upper and lower bands using a wide variety of deviation methods. This tool is designed to help traders identify trend direction, volatility, and potential reversal zones with customizable visual styles. Key Features Multiple Kernel Types: Choose from 17+ kernel regression styles (Gaussian, Laplace, Epanechnikov, etc.) for smoothing. Flexible Band Calculation: Select from 12+ deviation types including Standard Deviation, Mean/Median Absolute Deviation, Exponential, True Range, Hull, Parabolic SAR, Quantile, and more. Adaptive Bands: Bands are calculated around the kernel regression line, with a user-defined multiplier. Signal Logic: Trend state is determined by crossovers/crossunders of price and bands, coloring the regression line and band fills accordingly. Custom Color Modes: Six unique color palettes for visual clarity and personal preference. Highly Customizable Inputs: Adjust kernel type, lookback, deviation method, band source, and more. How to Use Trend Identification: The regression line changes color based on the detected trend (up/down) Volatility Zones: Bands expand/contract with volatility, helping spot breakouts or mean-reversion opportunities. Visual Styling: Use color modes to match your chart theme or highlight specific market states. Credits: Kernel regression logic adapted from: ChartPrime | Multi-Kernel-Regression-ChartPrime (Link in the script) Disclaimer This script is for educational and informational purposes only. Not financial advice. Use at your own risk.
Penunjuk Pine Script®
oleh Galeen
1
Open-Close / High-Low RibbonThis indicator visualizes smoothed Open, Close, High, and Low price levels as continuous lines, helping users observe underlying price structure with reduced noise. The Open and Close values are shaded to highlight bullish (green) or bearish (red) zones based on their relationship. Smoothing is applied using a simple moving average (SMA) over a user-defined length to make trends easier to interpret. This tool can be useful for identifying directional bias, trend shifts, or areas of support and resistance on any timeframe.
Penunjuk Pine Script®
oleh Tradenometry
Linear Regression Volume | Lyro RSLinear Regression Volume | Lyro RS ⚠️Disclaimer⚠️ Always combine this indicator with other forms of analysis and risk management. Please do your own research before making any trading decisions. The LR Volume | 𝓛𝔂𝓻𝓸 𝓡𝓢 indicator blends linear regression with volume-adjusted moving average s to dynamically outline price equilibrium and trend intensity. By integrating volume into its regression model, it highlights meaningful price movement relative to trading activity. 📌 How It Works: Volume-Weighted Regression Baseline Price is filtered through one of four volume-adjusted moving averages (SMA, RMA, HMA, ALMA) before being passed through a linear regression model, forming a dynamic fair value line. Deviation Bands The indicator plots 1x, 2x, and 3x standard deviation zones above and below the baseline, helping identify potential extremes, volatility spikes, and mean reversion areas. Slope-Based Color Logic The baseline and fill areas are dynamically colored: - 🟢 Green for positive slope (uptrend) - 🔴 Red for negative slope (downtrend) - ⚪ Gray for neutral movement ⚙️ Inputs & Options: Regression Length – Controls how many bars are used in the moving average and regression calculation. Deviation Multiplier – Adjusts the width of the bands surrounding the regression baseline. MA Type – Choose from 4 types: SMA (Simple Moving Average) RMA (Relative Moving Average) HMA (Hull Moving Average) ALMA (Arnaud Legoux Moving Average) Band Colors – Customizable upper/lower band colors to match your visual style. 🔔 Alerts: Long Signal – Triggers when the regression slope turns positive. Short Signal – Triggers when the regression slope turns negative.
Penunjuk Pine Script®
oleh LyroRS
LANZ Strategy 3.0🔷 LANZ Strategy 3.0 — Asian Range Fibonacci Strategy with Execution Window Logic LANZ Strategy 3.0 is a rule-based trading system that utilizes the Asian session range to project Fibonacci levels and manage entries during a defined execution window. Designed for Forex and index traders, this strategy focuses on structured price behavior around key levels before the New York session. 🧠 Core Components: Asian Session Range Mapping: Automatically detects the high, low, and midpoint during the Asian session. Fibonacci Level Projection: Projects configurable Fibonacci retracement and extension levels based on the Asian range. Execution Window Logic: Uses the 01:15 NY candle as a reference to validate potential reversals or continuation setups. Conditional Entry System: Includes logic for limit order entries (buy or sell) at specific Fib levels, with reversal logic if price breaks structure before execution. Risk Management: Entry orders are paired with dynamic SL and TP based on Fibonacci-based distances, maintaining a risk-reward ratio consistent with intraday strategies. 📊 Visual Features: Asian session high/low/mid lines. Fibonacci levels: Original (based on raw range) and Optimized (user-adjustable). Session background coloring for Asia, Execution Window, and NY session. Labels and lines for entry, SL, and TP targets. Dynamic deletion of untriggered orders after execution window expires. ⚙️ How It Works: The script calculates the Asian session range. Projects Fibonacci levels from the range. Waits for the 01:15 NY candle to close to validate a signal. If valid, a limit entry order (BUY or SELL) is plotted at the selected level. If price structure changes (e.g., breaks the high/low), reversal logic may activate. If no trade is triggered, orders are cleared before the NY session. 🔔 Alerts: Alerts trigger when a valid setup appears after 01:15 NY candle. Optional alerts for order activation, SL/TP hit, or trade cancellation. 📝 Notes: Intended for semi-automated or discretionary trading. Best used on highly liquid markets like Forex majors or indices. Script parameters include session times, Fib ratios, SL/TP settings, and reversal logic toggle. Credits: Developed by LANZ, this script merges traditional session-based analysis with Fibonacci tools and structured execution timing, offering a unique framework for morning volatility plays.
Penunjuk Pine Script®
oleh rau_u_lanz
Machine Learning: ARIMA + SARIMADescription The ARIMA (Autoregressive Integrated Moving Average) and SARIMA (Seasonal ARIMA) are advanced statistical models that use machine learning to forecast future price movements. It uses autoregression to find the relationship between observed data and its lagged observations. The data is differenced to make it more predictable. The MA component creates a dependency between observations and residual errors. The parameters are automatically adjusted to market conditions. Differences ARIMA - This excels at identifying trends in the form of directions SARIMA - Incorporates seasonality. It's better at capturing patterns previously seen How To Use 1. Model: Determine if you want to use ARIMA (better for direction) or SARIMA (better for overall prediction). You can click on the 'Show Historic Prediction' to see the direction of the previous candles. Green = forecast ending up, red = forecast ending down 2. Metrics: The RMSE% and MAPE are 10 day moving averages of the first 10 predictions made at candle close. They're error metrics that compare the observed data with the predicted data. It is better to use them when they're below 8%. Higher timeframes will be higher, as these models are partly mean-reverting and higher TFs tend to trend more. Better to compare RMSE% and MAPE with similar timeframes. They naturally lag as data is being collected 3. Parameter selection: The simpler, the better. Both are used for ARIMA(1,1,1) and SARIMA(1,1,1)(1,1,1)5. Increasing may cause overfitting 4. Training period: Keep at 50. Because of limitations in pine, higher values do not make for more powerful forecasts. They will only criminally lag. So best to keep between 20 and 80
Penunjuk Pine Script®
oleh stormeta
4
BTC vs ALT Lag Detector [MEXC Overlay]This indicator monitors the price movement of Bitcoin (BTC) and compares it in real time to a customizable list of major altcoins on the MEXC exchange. It helps you identify lagging altcoins — tokens that are underperforming or overperforming BTC’s price action over a selected timeframe. These temporary deviations can offer profitable entry or rotation opportunities, especially for scalpers, day traders, and arbitrage-style strategies. Key Features: - Real-time deviation detection between BTC and altcoins - Customizable comparison timeframe: 1m, 6m, 12m, 30m, 1h, 4h, or 1d - Deviation threshold alert: Highlights coins that lag BTC by more than 0.5%, 1%, 2%, or 3% - Compact stats table embedded in the price chart - Fully adjustable layout: Table position (Top/Bottom/Center + Left/Right), Font size (Tiny, Small, Medium) - Built-in alert system when deviation exceeds your chosen threshold How to Use It: Set your desired timeframe for comparison (e.g., 1 hour). Select a deviation threshold (e.g., 1.0%). The table will show: Each altcoin’s % change BTC’s % change The delta (deviation) vs BTC Red highlights indicate alts whose deviation exceeded the threshold. When at least one alt lags beyond your threshold, the indicator can trigger an alert — helping you capitalize on potential catch-up trades. Please provide any feedback on it.
Penunjuk Pine Script®
oleh ArmandoTrevino
Market Manipulation Index (MMI)The Composite Manipulation Index (CMI) is a structural integrity tool that quantifies how chaotic or orderly current market conditions are, with the aim of detecting potentially manipulated or unstable environments. It blends two distinct mathematical models that assess price behavior in terms of both structural rhythm and predictability. 1. Sine-Fit Deviation Model: This component assumes that ideal, low-manipulation price behavior resembles a smooth oscillation, such as a sine wave. It generates a synthetic sine wave using a user-defined period and compares it to actual price movement over an adaptive window. The error between the real price and this synthetic wave—normalized by price variance—forms the Sine-Based Manipulation Index. A high error indicates deviation from natural rhythm, suggesting structural disorder. 2. Predictability-Based Model: The second component estimates how well current price can be predicted using recent price lags. A two-variable rolling linear regression is computed between the current price and two lagged inputs (close and close ). If the predicted price diverges from the actual price, this error—also normalized by price variance—reflects unpredictability. High prediction error implies a more manipulated or erratic environment. 3. Adaptive Mechanism: Both components are calculated using an adaptive smoothing window based on the Average True Range (ATR). This allows the indicator to respond proportionally to market volatility. During high volatility, the analysis window expands to avoid over-sensitivity; during calm periods, it contracts for better responsiveness. 4. Composite Output: The two normalized metrics are averaged to form the final CMI value, which is then optionally smoothed further. The output is scaled between 0 and 1: 0 indicates a highly structured, orderly market. 1 indicates complete structural breakdown or randomness. Suggested Interpretation: CMI < 0.3: Market is clean and structured. Trend-following or breakout strategies may perform better. CMI > 0.7: Market is structurally unstable. Choppy price action, fakeouts, or manipulative behavior may dominate. CMI 0.3–0.7: Transitional zone. Caution or reduced risk may be warranted. This indicator is designed to serve as a contextual filter, helping traders assess whether current market conditions are conducive to structured strategies, or if discretion and defense are more appropriate.
Penunjuk Pine Script®
oleh Tradenometry
10
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.
Penunjuk Pine Script®
oleh Finntech1
Auto Trend Channel + Buy/Sell AlertsThis indicator automatically detects trend channels using a linear regression line, and dynamically plots upper and lower channel boundaries based on standard deviation. It helps traders identify potential Buy and Sell zones with clear visual signals and customizable alerts. 💡 How It Works: 🧠 Regression-Based Channel: Calculates the central trend line using ta.linreg() over a user-defined length. 📏 Dynamic Boundaries: Upper and lower channel lines are offset by a multiplier of the standard deviation for precision volatility tracking. ✅ Buy Signals: Triggered when price crosses above the lower boundary — potential bounce entry. ❌ Sell Signals: Triggered when price crosses below the upper boundary — potential reversal exit. 🔔 Alerts Enabled: Get real-time alerts when price touches the channel lines.
Penunjuk Pine Script®
oleh Veramike
Pullback SARPullback SAR - Parabolic SAR with Pullback Detection Description: The "Pullback SAR" is an advanced indicator built on the classic Parabolic SAR but with additional functionality for detecting pullbacks. It helps identify moments when the price pulls back from the main trend, offering potential entry signals. Perfect for traders looking to enter the market after a correction. Key Features: SAR (Parabolic SAR): The Parabolic SAR indicator is used to determine potential trend reversal points. It marks levels where the price could reverse its direction. Pullback Detection: The indicator catches periods when the price moves away from the main trend and then returns, which may suggest a re-entry opportunity. Long and Short Signals: Once a pullback in the direction of the main trend is identified, the indicator generates signals that could be used to open positions. Simple and Clear Construction: The indicator is based on the classic SAR, with added pullback detection logic to enhance the accuracy of the signals. Parameters: Start (SAR Step): Determines the initial step for the SAR calculation, which controls the rate of change in the indicator at the beginning. Increment (SAR Increment): Defines the maximum step size for SAR, allowing traders to adjust the indicator’s sensitivity to market volatility. Max Value (SAR Max): Sets the upper limit for the SAR value, controlling its volatility. Usage: Swing Trading: Ideal for swing strategies, aiming to capture larger price moves while maintaining a safe margin. Scalping: Due to its precise pullback detection, it can also be used in scalping, especially when the price quickly returns to the main trend. Risk Management: The combination of SAR and pullback detection allows traders to adjust their positions according to changing market conditions. Special Notes: Adjusting Parameters: Depending on the market and trading style, users can adjust the SAR parameters (Start, Increment, Max Value) to fit their needs. Combination with Other Indicators: It's recommended to use the indicator alongside other technical analysis tools (e.g., EMA, RSI) to enhance the accuracy of the signals. Link to the script: This open-source version of the indicator is available on TradingView, enabling full customization and adjustments to meet your personal trading strategy. Share your experiences and suggestions!
Penunjuk Pine Script®
oleh szymonsobkowiak
ML Deep Regression Pro (TechnoBlooms)ML Deep Regression Pro is a machine-learning-inspired trading indicator that integrates Polynomial Regression, Linear Regression and Statistical Deviation models to provide a powerful, data-driven approach to market trend analysis. Designed for traders, quantitative analysts and developers, this tool transforms raw market data into predictive trend insights, allowing for better decision-making and trend validation. By leveraging statistical regression techniques, ML Deep Regression Pro eliminates market noise and identifies key trend shifts, making it a valuable addition to both manual and algorithmic trading strategies. REGRESSION ANALYSIS Regression is a statistical modeling technique used in machine learning and data science to identify patterns and relationships between variables. In trading, it helps detect price trends, reversals and volatility changes by fitting price data into a predictive model. 1. Linear Regression - The most widely used regression model in trading, providing a best-fit plotted line to track price trends. 2. Polynomial Regression - A more advanced form of regression that fits curved price structures, capturing complex market cycles and improving trend forecasting accuracy. 3. Standard Deviation Bands - Based on regression calculations, these bands measure price dispersion and identify overbought/ oversold conditions, similar to Bollinger Bands. By default, these lines are hidden and user can make it visible through Settings. KEY FEATURES :- ✅ Hybrid Regression Engine – Combines Linear and Polynomial Regression to detect market trends with greater accuracy. ✅ Dynamic Trend Bias Analysis – Identifies bullish & bearish market conditions using real-time regression models. ✅ Standard Deviation Bands – Measures price volatility and potential reversals with an advanced deviation model. ✅ Adaptive EMA Crossover Signals – Generates buy/sell signals when price momentum shifts relative to the regression trend.
Penunjuk Pine Script®
oleh TechnoBlooms
9
Adaptive Trend FinderAdaptive Trend Finder - The Ultimate Trend Detection Tool Introducing Adaptive Trend Finder, the next evolution of trend analysis on TradingView. This powerful indicator is an enhanced and refined version of Adaptive Trend Finder (Log), designed to offer even greater flexibility, accuracy, and ease of use. What’s New? Unlike the previous version, Adaptive Trend Finder allows users to fully configure and adjust settings directly within the indicator menu, eliminating the need to modify chart settings manually. A major improvement is that users no longer need to adjust the chart's logarithmic scale manually in the chart settings; this can now be done directly within the indicator options, ensuring a smoother and more efficient experience. This makes it easier to switch between linear and logarithmic scaling without disrupting the analysis. This provides a seamless user experience where traders can instantly adapt the indicator to their needs without extra steps. One of the most significant improvements is the complete code overhaul, which now enables simultaneous visualization of both long-term and short-term trend channels without needing to add the indicator twice. This not only improves workflow efficiency but also enhances chart readability by allowing traders to monitor multiple trend perspectives at once. The interface has been entirely redesigned for a more intuitive user experience. Menus are now clearer, better structured, and offer more customization options, making it easier than ever to fine-tune the indicator to fit any trading strategy. Key Features & Benefits Automatic Trend Period Selection: The indicator dynamically identifies and applies the strongest trend period, ensuring optimal trend detection with no manual adjustments required. By analyzing historical price correlations, it selects the most statistically relevant trend duration automatically. Dual Channel Display: Traders can view both long-term and short-term trend channels simultaneously, offering a broader perspective of market movements. This feature eliminates the need to apply the indicator twice, reducing screen clutter and improving efficiency. Fully Adjustable Settings: Users can customize trend detection parameters directly within the indicator settings. No more switching chart settings – everything is accessible in one place. Trend Strength & Confidence Metrics: The indicator calculates and displays a confidence score for each detected trend using Pearson correlation values. This helps traders gauge the reliability of a given trend before making decisions. Midline & Channel Transparency Options: Users can fine-tune the visibility of trend channels, adjusting transparency levels to fit their personal charting style without overwhelming the price chart. Annualized Return Calculation: For daily and weekly timeframes, the indicator provides an estimate of the trend’s performance over a year, helping traders evaluate potential long-term profitability. Logarithmic Adjustment Support: Adaptive Trend Finder is compatible with both logarithmic and linear charts. Traders who analyze assets like cryptocurrencies, where log scaling is common, can enable this feature to refine trend calculations. Intuitive & User-Friendly Interface: The updated menu structure is designed for ease of use, allowing quick and efficient modifications to settings, reducing the learning curve for new users. Why is this the Best Trend Indicator? Adaptive Trend Finder stands out as one of the most advanced trend analysis tools available on TradingView. Unlike conventional trend indicators, which rely on fixed parameters or lagging signals, Adaptive Trend Finder dynamically adjusts its settings based on real-time market conditions. By combining automatic trend detection, dual-channel visualization, real-time performance metrics, and an intuitive user interface, this indicator offers an unparalleled edge in trend identification and trading decision-making. Traders no longer have to rely on guesswork or manually tweak settings to identify trends. Adaptive Trend Finder does the heavy lifting, ensuring that users are always working with the strongest and most reliable trends. The ability to simultaneously display both short-term and long-term trends allows for a more comprehensive market overview, making it ideal for scalpers, swing traders, and long-term investors alike. With its state-of-the-art algorithms, fully customizable interface, and professional-grade accuracy, Adaptive Trend Finder is undoubtedly one of the most powerful trend indicators available. Try it today and experience the future of trend analysis. This indicator is a technical analysis tool designed to assist traders in identifying trends. It does not guarantee future performance or profitability. Users should conduct their own research and apply proper risk management before making trading decisions. // Created by Julien Eche - @Julien_Eche
Penunjuk Pine Script®
oleh Julien_Eche
17