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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.
Pine Script® göstergesi
Hariss369 tarafından
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
Pine Script® göstergesi
DiFlip tarafından
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
Pine Script® göstergesi
acgcapital tarafından
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.
Pine Script® göstergesi
Gustav_Rex tarafından
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
Pine Script® göstergesi
geneclash tarafından
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.
Pine Script® göstergesi
p_zerbst tarafından
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.
Pine Script® göstergesi
shakeelhafi tarafından
Structure Break Out + rsi divergence + alma SIMPLIFIED OBJECTIVE (dyor, nfa, test different assets and diff TF) The goal of this script is to act as a Reversal Sniper. Most traders lose money by trying to guess the top or bottom of a market too early. This strategy solves that by waiting for two specific events to happen together: First, a hidden shift in momentum (RSI Divergence). Second, a confirmed change in price direction (Crossing the ALMA 20 Blue Line). This ensures you only enter a trade when the market has confirmed it is ready to reverse. TRADING RULES BUY SIGNAL (Long Position) Step 1: Look for a GREEN DIV label below the candles. This warns you that sellers are exhausted. Step 2: Wait for a GREEN TRIANGLE with the text GO. This confirms the price has crossed above the Blue Line. Step 3: Enter the Buy trade immediately when the candle with the GO signal closes. SELL SIGNAL (Short Position) Step 1: Look for a RED DIV label above the candles. This warns you that buyers are exhausted. Step 2: Wait for a RED TRIANGLE with the text GO. This confirms the price has crossed below the Blue Line. Step 3: Enter the Sell trade immediately when the candle with the GO signal closes. EXIT RULES (How to Close the Trade) The script draws lines on the chart to help you manage the trade. Scenario A: The Perfect Win (Target Hit) If price hits the Green Line, the trade is closed automatically for a profit. This is your Risk-Reward Target. Scenario B: The Trend Change (Reversal) If the price turns around and crosses the Blue Line in the wrong direction, close the trade immediately. Do not wait for the stop loss. This protects your profits or keeps losses small. Scenario C: The Safety Net (Stop Loss) If price hits the Red Line, the trade is closed for a loss. This is your safety guard to prevent a small loss from becoming a big one. IMPORTANT NOTES Never trade a DIV label without a GO signal. The DIV is just a warning; the GO is the trigger. - This strategy works best on 15-Minute and 1-Hour timeframes. - If t he Blue Line is flat, be careful, as the market may be ranging. Ideally, you want to see the Blue Line angling up or down.
Pine Script® stratejisi
hushedDiamond97573 tarafından
Highlight 6-7 PM (IST) candle + mark H/L (Hourly)📌 Highlight 6–7 PM Candle (IST) + High/Low Lines (No Labels) This indicator automatically detects the 6:00–7:00 PM candle (IST) on the hourly timeframe and visually marks it on the chart. It highlights the candle and draws horizontal High and Low levels without any labels—making the chart clean and easy to read. ✅ Features Highlights the 6–7 PM hourly candle (timezone adjustable: IST/UTC/Exchange). Draws high & low horizontal lines from the target candle. Option to extend the lines for a selected number of bars. Optional restriction to only show on 1-hour timeframe. Clean design — no labels, no clutter. 🛠️ Inputs Timezone (default: Asia/Kolkata) Target Hour (default: 18 = 6 PM) Highlight Color High/Low Line Colors Line Extension Length Enable/Disable Hourly-only Mode 🎯 Use Case Useful for traders who track post-market candles, volatility behavior, range levels, or want to build intraday strategies based on evening session highs/lows.
Pine Script® göstergesi
hmtsahu tarafından
2-Close + Bar 5 Reversal (Scan Ready)Bulkowski's Bullish 2-Step Reversal Bar 1 Any price bar. Bar 2 Price makes a low below bar 1 with a lower close, too. Bar 3 Price has a low below bar 2 but a close above bar 1 (which will also be above bar 2's close). Bars 1 to 3 form a 2-close reversal pattern. Bar 4 Makes a close below bar 3's close. Bar 5 Has a low below bar 4 but closes above bars 3 and 4. Breakout Breaks out upward 79% of the time in stocks. From his page: thepatternsite.com
Pine Script® göstergesi
toppermost tarafından
SymFlex Band - MAD, RSI, ATRThe SymFlex Band is an adaptive volatility and momentum framework that merges three independent band models into a unified analytical tool. • The MAD Band measures deviation from the moving average using Median Absolute Deviation, providing a stable view of range-based volatility. • The RSI Momentum Band adjusts its upper and lower boundaries asymmetrically, expanding in the direction of momentum and contracting against it. • The ATR Band captures classical volatility expansion for breakout and trend-continuation conditions. Rather than placing the three indicators separately on a chart, the script synchronizes their center-line logic, compares their band distances, identifies the nearest active band, and displays real-time correlation between their dynamic ranges. This structure helps traders understand whether price behavior is dominated by range compression, momentum imbalance, or volatility expansion. The table summarizes: • active band ranges • breakout status • distance from each band • cross-band correlation This indicator is designed purely for analysis. It does not generate trade entries.
Pine Script® göstergesi
surirang tarafından
ATR Based TMA Bands [NeuraAlgo]ATR-Based TMA Bands ATR-Based TMA Bands is a volatility-adaptive channel system built around a smoothed Triangular Moving Average (TMA). It identifies trend direction, momentum shifts, and reversal opportunities using a combination of TMA structure and ATR-driven channel expansion. Perfect for traders who want a clean, intelligent, and adaptive market framework. Made by NeuraAlgo. 🔷 How It Works 1. 🔹 TMA Midline (Core Trend) The indicator builds a smooth and stable midline using: 📐 Triangular Moving Average 🔄 Additional EMA smoothing This creates a low-noise trend curve that reacts cleanly to real momentum changes. 2. 📈 Volatility-Adjusted Bands The channels are built from: 📊 Standard Deviation × Expansion Multiplier 📏 Three ATR-based outer layers These bands: Expand in high volatility Contract in stable markets Reveal pullbacks, breakout zones, and exhaustion points 3. 🔁 Trend Tilt Algorithm Slope is measured using an ATR-normalized tilt formula: atrBase = ta.atr(smoothLen) tilt = (midline - midline ) / (0.1 * atrBase) This classifies the trend into: Bullish Bearish Neutral The bar colors and midline adjust automatically to match market direction. 4. 🔄 Reversal Detection (Turn Signals) The indicator flags directional flips: Turn Up → bearish → bullish shift Turn Down → bullish → bearish shift These are early reversal alerts ideal for swing traders. 5. 🎯 Flip Buy / Flip Sell Signals Deep volatility extensions create high-probability re-entry zones: Flip Buy → price rebounds from oversold ATR zone Flip Sell → price rejects from overbought ATR zone Great for: Mean-reversion entries Trend re-tests Pullback trades Exhaustion signals 📌 How to Use This Indicator ✔ Trend Trading Follow trend using tilt-colored candles Use midline as dynamic trend filter Use channels for breakout/pullback entries ✔ Reversal Trading Watch for Turn Up / Turn Down labels Flip signals show where the market is over-stretched ✔ Risk Management ATR channels automatically adjust to volatility Helps with smarter SL/TP placement ⭐ Best For Trend traders Swing traders Reversal hunters Volatility lovers Anyone wanting a smart, clean technical framework 💡 Core Features TMA-smoothed trend detection Multi-layer ATR expansion channels Intelligent trend tilt algorithm Turn Up / Turn Down reversal markers Flip Buy / Flip Sell exhaustion signals Adaptive bar coloring Clean and professional visual design
Pine Script® göstergesi
NeuraAlgo tarafından
SPX +10 / -10 From 9:30 Open//@version=5 indicator("SPX +10 / -10 From 9:30 Open", overlay=true) // Exchange Time (New York) sess = input.session("0930-1600", "Regular Session (ET)") // Detect session and 9:30 AM bar inSession = time(timeframe.period, sess) // Capture the 9:30 AM open var float open930 = na if inSession // If this is the first bar of the session (9:30 AM) if time(timeframe.period, sess) == na open930 := open else open930 := na // Calculate movement from 9:30 AM open up10 = close >= open930 + 10 dn10 = close <= open930 - 10 // Plot reference lines plot(open930, "9:30 AM Open", color=color.orange) plot(open930 + 10, "+10 Level", color=color.green) plot(open930 - 10, "-10 Level", color=color.red) // Alert conditions alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open") alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open") // Plot signals on chart plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny) plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
Pine Script® göstergesi
sadanandam2 tarafından
SPX +10 / -10 From 9:30 Open//@version=5 indicator("SPX +10 / -10 From 9:30 Open", overlay=true) // Exchange Time (New York) sess = input.session("0930-1600", "Regular Session (ET)") // Detect session and 9:30 AM bar inSession = time(timeframe.period, sess) // Capture the 9:30 AM open var float open930 = na if inSession // If this is the first bar of the session (9:30 AM) if time(timeframe.period, sess) == na open930 := open else open930 := na // Calculate movement from 9:30 AM open up10 = close >= open930 + 10 dn10 = close <= open930 - 10 // Plot reference lines plot(open930, "9:30 AM Open", color=color.orange) plot(open930 + 10, "+10 Level", color=color.green) plot(open930 - 10, "-10 Level", color=color.red) // Alert conditions alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open") alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open") // Plot signals on chart plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny) plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
Pine Script® göstergesi
sadanandam2 tarafından