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Indicateurs et stratégies

67Major Market Trading Hours New York Stock Exchange (NYSE) Open: 9:30 AM (ET) Close: 4:00 PM (ET) Pre-Market: 4:00 AM – 9:30 AM (ET) After Hours: 4:00 PM – 8:00 PM (ET) Nasdaq Open: 9:30 AM (ET) Close: 4:00 PM (ET) Pre-Market: 4:00 AM – 9:30 AM (ET) After Hours: 4:00 PM – 8:00 PM (ET) London Stock Exchange (LSE) Open: 8:00 AM (GMT) Close: 4:30 PM (GMT) Tokyo Stock Exchange (TSE) Open: 9:00 AM (JST) Lunch Break: 11:30 AM – 12:30 PM (JST) Close: 3:00 PM (JST) Hong Kong Stock Exchange (HKEX) Open: 9:30 AM (HKT) Lunch Break: 12:00 PM – 1:00 PM (HKT) Close: 4:00 PM (HKT) If you'd like anything bigger, bold, color‑coded, or reorganized, just tell me and I’ll adjust it!
Indicateur Pine Script®
par nyzilakos
Adaptive Support & Resistance ProAdaptive Support & Resistance Pro – Description Adaptive Support & Resistance Pro is an advanced S/R tool designed to automatically identify key support and resistance zones based on a combination of RSI, CMO dynamics, and pivot logic. This indicator provides precise and reactive levels that form only when specific technical conditions are met, filtering out noise and delivering more reliable S/R signals. It is ideal for technical traders who want to understand where price naturally pauses, reverses, or consolidates—without the need to manually draw lines on every chart. 🔍 Key Features 1. Automatic Support & Resistance Detection The indicator uses: RSI (9) CMO logic based on HMA Pivot structure (len = 2) to generate valid Support and Resistance zones. A level is drawn only when all required conditions align, preventing false or weak signals. 2. Multi-Timeframe Analysis (MTF) You can view the chart on one timeframe (e.g., 5m) and display Support/Resistance levels from another timeframe (e.g., 1H, 4H, D) at the same time. This allows for: viewing higher-timeframe structures on lower charts, better planning of entries and exits, avoiding trades inside strong zones that may not be visible on the current timeframe. All of this is controlled through the input: S/R Timeframe 3. Adjustable Line Thickness (visual enhancement) Using the input: Line Width you can increase the thickness of support/resistance lines to: make important zones more visible, improve chart readability, emphasize S/R levels according to your visual preference. This is especially useful on fast markets (Forex, Crypto) and on higher timeframes where clarity of levels is essential. 4. Clear distinction between Support and Resistance Support lines have their own customizable color (default: green) Resistance lines have their own customizable color (default: red) You can freely adjust the colors to match your personal TradingView layout or theme. 5. Alerts (Notification System) The built-in alert: "New S/R line" triggers whenever a new support or resistance level is detected. This helps you: monitor important levels without constantly watching the chart, react quickly to new structure signals, stay aware of market changes in real time. 🎯 How to Use the Indicator Support levels often indicate potential reversals or long-entry opportunities. Resistance levels highlight areas where price may reverse downward or form short setups. The best performance is achieved when combining this indicator with: price action, EMA structure, confirmation zones, breakout logic, trend filters. MTF usage is highly recommended: Analyze higher-timeframe S/R while trading lower-timeframe setups. ⚠️ Disclaimer This indicator does not generate direct buy or sell signals. Its purpose is to assist in market analysis and highlight areas where price is likely to react. 📌 Conclusion Adaptive Support & Resistance Pro combines the strongest elements of automated S/R mapping: precision, reduced noise, multi-timeframe flexibility, and advanced logic based on RSI, CMO, and pivot structure. It is perfect for traders who want: clean and accurate S/R levels, higher-timeframe insight while trading lower charts, customizable and visually enhanced structure mapping.
Indicateur Pine Script®
par Aleksin_Aleksandar
2
Bollinger Bands with ATR SL Hariss 369Bollinger Bands are a popular technical analysis tool developed by John Bollinger. They consist of three lines plotted on a price chart: Middle Band – a simple moving average (usually 20 periods). Upper Band – the middle band plus two standard deviations. Lower Band – the middle band minus two standard deviations. Key Features: Volatility Indicator: The bands expand when volatility increases and contract when volatility decreases. Trend Analysis: Prices near the upper band indicate overbought conditions, while prices near the lower band indicate oversold conditions. Trading Signals: Traders often look for price touches, breaks, or rebounds from the bands to identify potential entries or exits. To strengthen the trend quality RVOL has been considered. The ideal value of RVOL is 1.5 Higher Time Frame Trend filter gives trend clarity in higher time frame. One can select RVOL and HTF (Higher Time Frame) filter. Bollinger bands indicator is basically a trend following indicator. We should go with the trend rather book profit @1:1 or 1:2 basis. In that case we might miss the long trend. The middle band is generally considered as stop loss. However, ATR based stop loss has been designed in the script in order to capture the volatility in decent way. Break out signal is initiated on break out with volume taking higher time frame into consideration. One can use this indicator in any time frame and any class of asset. To filter higher time frame eg. entry / exit 5 min chart, 15m/1h can be taken as higher time frame, for 1h entry/ exit, 4h can be taken as higher time frame trend filter.
Indicateur Pine Script®
par Hariss369
RSI Forecast Colorful [DiFlip]RSI Forecast Colorful Introducing one of the most complete RSI indicators available — a highly customizable analytical tool that integrates advanced prediction capabilities. RSI Forecast Colorful is an evolution of the classic RSI, designed to anticipate potential future RSI movements using linear regression. Instead of simply reacting to historical data, this indicator provides a statistical projection of the RSI’s future behavior, offering a forward-looking view of market conditions. ⯁ Real-Time RSI Forecasting For the first time, a public RSI indicator integrates linear regression (least squares method) to forecast the RSI’s future behavior. This innovative approach allows traders to anticipate market movements based on historical trends. By applying Linear Regression to the RSI, the indicator displays a projected trendline n periods ahead, helping traders make more informed buy or sell decisions. ⯁ Highly Customizable The indicator is fully adaptable to any trading style. Dozens of parameters can be optimized to match your system. All 28 long and short entry conditions are selectable and configurable, allowing the construction of quantitative, statistical, and automated trading models. Full control over signals ensures precise alignment with your strategy. ⯁ Innovative and Science-Based This is the first public RSI indicator to apply least-squares predictive modeling to RSI calculations. Technically, it incorporates machine-learning logic into a classic indicator. Using Linear Regression embeds strong statistical foundations into RSI forecasting, making this tool especially valuable for traders seeking quantitative and analytical advantages. ⯁ Scientific Foundation: Linear Regression Linear regression is a fundamental statistical method that models the relationship between a dependent variable y and one or more independent variables x. The general formula for simple linear regression is: y = β₀ + β₁x + ε where: y  = predicted variable (e.g., future RSI value) x  = explanatory variable (e.g., bar index or time) β₀ = intercept (value of y when x = 0) β₁ = slope (rate of change of y relative to x) ε   = random error term The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the RSI projection based on recent trends. ⯁ Least Squares Estimation To minimize the error between predicted and observed values, we use the formulas: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables. ⯁ Linear Regression in Machine Learning Linear regression is a foundational component of supervised learning. Its simplicity and precision in numerical prediction make it essential in AI, predictive algorithms, and time-series forecasting. Applying regression to RSI is akin to embedding artificial intelligence inside a classic indicator, adding a new analytical dimension. ⯁ Visual Interpretation Imagine a time series of RSI values like this: Time → RSI    → The regression line smooths these historical values and projects itself n periods forward, creating a predictive trajectory. This projected RSI line can cross the actual RSI, generating sophisticated entry and exit signals. In summary, the RSI Forecast Colorful indicator provides both the current RSI and the forecasted RSI, allowing comparison between past and future trend behavior. ⯁ Summary of Scientific Concepts Used Linear Regression: Models relationships between variables using a straight line. Least Squares: Minimizes squared prediction errors for optimal fit. Time-Series Forecasting: Predicts future values from historical patterns. Supervised Learning: Predictive modeling based on known output values. Statistical Smoothing: Reduces noise to highlight underlying trends. ⯁ Why This Indicator Is Revolutionary Scientifically grounded: Built on statistical and mathematical theory. First of its kind: The first public RSI with least-squares predictive modeling. Intelligent: Incorporates machine-learning logic into RSI interpretation. Forward-looking: Generates predictive, not just reactive, signals. Customizable: Exceptionally flexible for any strategic framework. ⯁ Conclusion By combining RSI and linear regression, the RSI Forecast Colorful allows traders to predict market momentum rather than simply follow it. It's not just another indicator: it's a scientific advancement in technical analysis technology. Offering 28 configurable entry conditions and advanced signals, this open-source indicator paves the way for innovative quantitative systems. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What Is RSI? The RSI (Relative Strength Index) is a technical indicator developed by J. Welles Wilder. It measures the velocity and magnitude of recent price movements to identify overbought and oversold conditions. The RSI ranges from 0 to 100 and is commonly used to identify potential reversals and evaluate trend strength. ⯁ How RSI Works RSI is calculated from average gains and losses over a set period (commonly 14 bars) and plotted on a 0–100 scale. It consists of three key zones: Overbought: RSI above 70 may signal an overbought market. Oversold: RSI below 30 may signal an oversold market. Neutral Zone: RSI between 30 and 70, indicating no extreme condition. These zones help identify potential price reversals and confirm trend strength. ⯁ Entry Conditions All conditions below are fully customizable and allow detailed control over entry signal creation. 📈 BUY 🧲 Signal Validity: Signal remains valid for X bars. 🧲 Signal Logic: Configurable using AND or OR. 🧲 RSI > Upper 🧲 RSI < Upper 🧲 RSI > Lower 🧲 RSI < Lower 🧲 RSI > Middle 🧲 RSI < Middle 🧲 RSI > MA 🧲 RSI < MA 🧲 MA > Upper 🧲 MA < Upper 🧲 MA > Lower 🧲 MA < Lower 🧲 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 Bullish Divergence 🧲 RSI Bearish Divergence 🔮 RSI (Crossover) Forecast MA 🔮 RSI (Crossunder) Forecast MA 📉 SELL 🧲 Signal Validity: Signal remains valid for X bars. 🧲 Signal Logic: Configurable using AND or OR. 🧲 RSI > Upper 🧲 RSI < Upper 🧲 RSI > Lower 🧲 RSI < Lower 🧲 RSI > Middle 🧲 RSI < Middle 🧲 RSI > MA 🧲 RSI < MA 🧲 MA > Upper 🧲 MA < Upper 🧲 MA > Lower 🧲 MA < Lower 🧲 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 Bullish Divergence 🧲 RSI Bearish Divergence 🔮 RSI (Crossover) Forecast MA 🔮 RSI (Crossunder) Forecast MA 🤖 Automation All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies. ⯁ Unique Features Linear Regression Forecast Signal Validity: Keep signals active for X bars Signal Logic: AND/OR configuration Condition Table: BUY/SELL Condition Labels: BUY/SELL Chart Labels: BUY/SELL markers above price Automation & Alerts: BUY/SELL Background Colors: bgcolor Fill Colors: fill Linear Regression Forecast Signal Validity: Keep signals active for X bars Signal Logic: AND/OR configuration Condition Table: BUY/SELL Condition Labels: BUY/SELL Chart Labels: BUY/SELL markers above price Automation & Alerts: BUY/SELL Background Colors: bgcolor Fill Colors: fill
Indicateur Pine Script®
par DiFlip
2
Zonas de Liquidez Pro + Puntos de GiroRequirements for marking 💧:✅ High crosses the zone✅ Close returns inside (false breakout / fakeout)✅ Volume is 20% greater than the average✅ Occurs within the last 10 bars(Note: This last requirement is stated in the text but not explicitly in the code snippet provided)📚 Psychology Behind the SweepWho lost money?Traders with stops placed too tightlyBuyers who entered "on the breakout"Bots with automatic orders placed aboveWho made money?Smart Money / InstitutionsThey sold at a high priceThey hunted for liquidity before moving the priceThey know where retail stops are located🎯 How to Use the Drops in Your TradingGolden Rule:💧 near a strong zone + Multiple rejections = PROBABLE REVERSALStrategy:See 💧 at resistance → Look for SHORTSee 💧 at support → Look for LONGPrice returns to the swept zone → High-probability setupStop beyond the sweep high/low → ProtectionPractical Example:If you see 💧 LIQ at $111,263 (resistance)→ Wait for bearish rejection→ Entry: Sell at $110,800→ Stop: $111,500 (above the sweep high)→ Target: Next support level⚠️ Common Mistakes❌ Mistake 1: Trading the breakoutPrice breaks $111k → "It's going to the moon!" → Buy💧 LIQ appears → It was a trap → Drop → Loss✅ Correct Approach:Price breaks $111k → Check if there is 💧 LIQ💧 appears → "It's a trap" → Wait for rejection → Sell❌ Mistake 2: Ignoring the volumeNot all sweeps are equal.Sweeps with high volume are more reliable.No volume = it could be noise.🎓 Ultra-Fast SummaryElementMeaning💧 LIQLiquidity sweep detectedAt ResistanceBullish trap → Prepare for a shortAt SupportBearish trap → Prepare for a longWith High VolumeMore reliable signalNear Strong Zone High probability of reversal🔥 The Magic of Your IndicatorScenarioWithout this IndicatorWith this IndicatorAction"The price broke $111k, I'm buying!""There is 💧 LIQ + zone + rejections → It's a trap."ResultYou loseYou avoid a loss or gain on the short
Indicateur Pine Script®
par acgcapital
APEX TREND: Macro & Hard Stop SystemAPEX TREND: Macro & Hard Stop System The APEX TREND System is a composite trend-following strategy engineered to solve the "Whipsaw" problem inherent in standard breakout systems. It orchestrates four distinct technical theories—Macro Trend Filtering, Volatility Squeeze, Momentum, and Volatility Stop-Loss—into a single, hierarchical decision-making engine. This script is not merely a collection of indicators; it is a rules-based trading system designed for Swing Traders (Day/Week timeframes) who aim to capture major trend extensions while strictly managing downside risk through a "Hard Stop" mechanism. 🧠 Underlying Concepts & Originality Many trend indicators fail because they treat all price movements equally. The APEX TREND differentiates itself by applying an "Institutional Filter" logic derived from classic Dow Theory and Modern Volatility Analysis. 1. The Macro Hard Stop (The 200 EMA Logic) Origin: Based on the institutional mandate that “Nothing good happens below the 200-day moving average.” Function: Unlike standard super trends that flip constantly in sideways markets, this system integrates a 200-period Exponential Moving Average (EMA) as a non-negotiable "Hard Stop." Synergy: This acts as the primary gatekeeper. Even if the volatility engine signals a "Buy," the system suppresses the signal if the price is below the Macro Baseline, effectively filtering out counter-trend traps. 2. The Volatility Engine (Squeeze Theory) Origin: Derived from John Carter’s TTM Squeeze concept. Function: The script identifies periods where Bollinger Bands (Standard Deviation) contract inside Keltner Channels (ATR). This indicates a period of potential energy build-up. Synergy: The system only triggers an entry when this energy is released (Breakout) AND coincides with Linear Regression Momentum, ensuring the breakout is genuine. 3. Anti-Chop Filter (ADX Integration) Origin: J. Welles Wilder’s Directional Movement Theory. Function: A common failure point for trend systems is low-volatility chop. This script utilizes the Average Directional Index (ADX). Synergy: If the ADX is below the threshold (Default: 20), the market is deemed "Choppy." The script visually represents this by painting candles GRAY, signaling a "No-Trade Zone" regardless of price action. 4. The "Run Trend" Stop Loss (Factor 4.0 ATR) Origin: Adapted from the Turtle Trading rules regarding volatility-based stops. Function: Standard Trailing Stops (usually Factor 3.0) are too tight for crypto or volatile equities on daily timeframes. Optimization: This system employs a wider ATR Multiplier of 4.0. This allows the asset to fluctuate naturally within a trend without triggering a premature exit, maximizing the "Run Trend" potential. 🛠 How It Works (The Algorithm) The script processes data in a specific order to generate a signal: Check Macro Trend: Is Price > EMA 200? (If No, Longs are disabled). Check Volatility: Is ADX > 20? (If No, all signals are disabled). Check Volume: Is Current Volume > 1.2x Average Volume? (Confirmation of institutional participation). Trigger: Has a Volatility Breakout occurred in the direction of the Macro Trend? Execution: If ALL above are true -> Generate Signal. 🎯 Strategy Guide 1. Long Setup (Bullish) Signal: Look for the Green "APEX LONG" Label. Condition: The price must be ABOVE the White Line (EMA 200). Execution: Enter at the close of the signal candle. Stop Loss: Initial stop at the Green Trailing Line. 2. Short Setup (Bearish) Signal: Look for the Red "APEX SHORT" Label. Condition: The price must be BELOW the White Line (EMA 200). Execution: Enter at the close of the signal candle. Stop Loss: Initial stop at the Red Trailing Line. 3. Exit Rules (Crucial) This system employs a Dual-Exit Mechanism: Soft Exit (Profit Taking): Close the position if the price crosses the Trailing Stop Line (Green/Red line). This locks in profits during a trend reversal. Hard Exit (Emergency): Close the position IMMEDIATELY if the price crosses the White EMA 200 Line against your trade. This prevents holding a position during a major market regime change. ⚙️ Settings Momentum Engine: Adjust Bollinger Band/Keltner Channel lengths to tune breakout sensitivity. Apex Filters: Toggle the EMA 200 or ADX filters on/off to adapt to different asset classes. Risk Management: The ATR Multiplier (Default 4.0) controls the width of the trailing stop. Lower values = Tighter stops (Scalping); Higher values = Looser stops (Swing). Disclaimer: This script is designed for trend-following on higher timeframes (4H, 1D, 1W). Please backtest on your specific asset before live trading.
Indicateur Pine Script®
par Gustav_Rex
Symmetrical Geometric MandalaSymmetrical Geometric Mandala Overview The Symmetrical Geometric Mandala is an advanced geometric trading tool that applies phi (φ) harmonic relationships to price-time analysis. This indicator automatically detects swing ranges and constructs a scale-invariant geometric framework based on the square root of phi (√φ), revealing natural support/resistance zones and harmonic price-time balance points. Core Concept Traditional technical analysis often treats price and time as separate dimensions. This indicator harmonizes them using the mathematical constant √φ (approximately 1.272), creating a geometric "squaring" of price and time that remains proportionally consistent across different chart scales. The Mathematics When you select a price range (from swing low to swing high or vice versa), the indicator calculates: PBR (Price-to-Bar Ratio) = Range / Number of Bars Harmonic PBR = PBR × √φ (1.272019649514069) Phi Extension = Range × φ (1.618033988749895) The Harmonic PBR is the critical value - this is the chart scaling factor that creates perfect geometric harmony between price and time for your selected range. Visual Components 1. Horizontal Boundary Lines Two horizontal lines extend from the selected range at a distance of Range × φ (golden ratio extension): Upper line: Extended above the swing high (for uplegs) or swing low (for downlegs) Lower line: Extended below the swing low (for uplegs) or swing high (for downlegs) These lines mark the natural harmonic boundaries of the price movement. 2. Rectangle Diagonal Lines Two diagonal lines that create a "rectangle" effect, connecting: Overlap points on horizontal boundaries to swing extremes These lines go in the opposite direction of the price leg (creating the symmetrical mandala pattern) When extended, they reveal future geometric support/resistance zones 3. Phi Harmonic Circles (Optional) Two precisely calculated circles (drawn as smooth polylines): Circle A: Centered at the first swing extreme (Nodal A) Circle B: Centered at the second swing extreme (Nodal B) Radius = Range × φ, causing them to perfectly touch the horizontal boundary lines These circles visualize the geometric harmony and create a mandala-like pattern that reveals natural price zones. How to Use Step 1: Select Your Range Set the Start Date at your swing low or swing high Set the End Date at the opposite extreme The indicator automatically detects whether it's an upleg or downleg Step 2: Read the Harmonic PBR Check the highlighted yellow row in the table: "PBR × √φ" This is your chart scaling value Step 3: Apply Chart Scaling (Optional) For perfect geometric visualization: Right-click on your chart's price axis Select "Scale price chart only" Enter the PBR × √φ value The geometry will now display in perfect harmonic proportion Step 4: Interpret the Geometry Horizontal lines: Key support/resistance zones at phi extensions Diagonal lines: Dynamic trend channels and future price-time balance points Circle intersections: Natural harmonic turning points Central diamond area: Core price-time equilibrium zone Key Features ✅ Automatic swing detection - identifies upleg/downleg automatically ✅ Scale-invariant geometry - maintains proportions across timeframes ✅ Phi harmonic calculations - based on golden ratio mathematics ✅ Professional color scheme - clean, non-intrusive visuals ✅ Customizable display - toggle circles, lines, and table independently ✅ Smooth circle rendering - adjustable segments (16-360) for optimal smoothness Settings Show Horizontal Boundary Lines: Display phi extension levels Show Rectangle Diagonal Lines: Display the geometric framework Show Phi Harmonic Circles: Display circular geometry (optional) Circle Smoothness: Adjust polyline segments (default: 96) Colors: Fully customizable color scheme for all elements Theory Background This indicator draws inspiration from: W.D. Gann's price-time squaring techniques Bradley Cowan's geometric market analysis Phi/golden ratio harmonic theory Mathematical constants in market structure Unlike traditional Fibonacci retracements, this tool uses √φ instead of φ as the primary scaling constant, creating a unique geometric relationship that "squares" price movement with time passage. Best Practices Use on significant swings - Works best on major swing highs/lows Multiple timeframe analysis - Apply to different timeframes for confluence Combine with other tools - Use alongside support/resistance and trend analysis Respect the geometry - Pay attention when price interacts with geometric elements Chart scaling optional - The geometry works at any scale, but scaling enhances visualization Notes The indicator draws geometry from left to right (from Nodal A to Nodal B) All lines extend infinitely for future projections The table shows real-time calculations for the selected range Date range selection uses confirm dialogs to prevent accidental changes
Indicateur Pine Script®
par geneclash
Kaufman Adaptive Moving Average (fixed TF)**Kaufman Adaptive Moving Average – fixed Timeframe version (Pine v5)** This script is a Pine Script v5 adaptation of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget), extended with the ability to calculate KAMA on a **fixed timeframe**. You can keep the calculation on your current chart timeframe or lock it to any higher timeframe (for example 1D on a 1H chart) and still display the line on your active chart. KAMA automatically adjusts its smoothing based on price efficiency: it becomes faster in trending markets and slower in choppy ones. This version colors the line green/red depending on the direction of the KAMA on the **selected timeframe**, and includes an optional “await bar confirmation” setting to avoid reacting to still-forming bars. **Main features** * Original Kaufman Adaptive Moving Average logic (length, fast/slow EMA lengths, source input) * Optional **fixed timeframe** input for the KAMA calculation (leave empty to use chart timeframe) * Non-repainting higher-timeframe calculation using `request.security()` * Dynamic color change (green/red) based on KAMA trend on the chosen timeframe * Optional bar-confirmation filter for more conservative color changes * Built-in alert on color change (trend shift) **How to use** 1. Add the indicator to your chart. 2. Leave “KAMA Timeframe” empty to use the chart’s timeframe (standard KAMA). 3. Or set “KAMA Timeframe” to a higher TF (e.g. `60`, `240`, `D`, `W`) to overlay a higher-timeframe KAMA on a lower-timeframe chart. 4. Use the color changes or the alert to identify potential trend shifts in the selected timeframe while watching price action on your working timeframe.
Indicateur Pine Script®
par p_zerbst
Multi EMA (up to 6) - JamilThis indicator plots six customizable Exponential Moving Averages (EMA 1 to EMA 6) designed to help traders quickly identify market direction, trend strength, and dynamic support/resistance levels. 🔹 Key Features Plots six EMAs simultaneously for multi-timeframe trend clarity Helps detect trend reversals, pullbacks, and continuation setups Ideal for scalping, intraday, swing trading, and funded challenges Works on all markets (Gold, Forex, Crypto, Indices) Customizable lengths and colors Clean and lightweight — doesn’t affect chart performance 🔹 How to Use When all EMAs are aligned and fanning out → Strong Trend EMA compression → Low volatility / possible breakout setup Price above all EMAs → Bullish zone Price below all EMAs → Bearish zone Perfect for traders who want a simple yet powerful trend-reading tool.
Indicateur Pine Script®
par shakeelhafi