Mulakan

Forecasting

RSI Statistics [Honestcowboy]⯁ Overview Research tool for analysing price behaviour based on RSI, find out how your favorite trading pair / timeframe combinations react to RSI. 5 Different projections based on 5 different value zones of RSI: RSI between 100-80 (very overbought) RSI between 80-60 (overbought) RSI between 60-40 (normal) RSI between 40-20 (oversold) RSI between 20-00 (very oversold) The script simply show price projections of different RSI environments so you can get an idea of what price could do when RSI reaches this RSI value zone. Ofcourse past price performance does not guarantee future returns and this is just projections based on the past. The script also projects RSI just like it does with price so you can get an idea of how long RSI might stay in overbought or very overbought etc Script is mainly a research tool to use to get ideas to explore further and build upon. Here are some examples: ⯁ Settings RSI Lenght: this is just normal RSI settings you find in standard RSI (bars used to calculate RSI) Projection Length: Amount of bars to save for projections. The projections will also project this many bars in futre. Higher values here increase loading time drastically. Price Action Boundaries: turn the highs / lows of projection zone on or off. I usually turn this off to look more closely at the averages themselves. Maximum Stats history: Not on by default, in case you only want to show the average projection of last X amount of occurences RSI was in a specific RSI value zone Selection of the different zones: in case you want to look at a specific zone alone or turn of some zones. It will no longer project for that zone both in the price projection and RSI projections. ⯁ How are these calculated? To calculate the average price reaction script uses a very simple approach. On each bar it will save price action array up to projection length back in time. It will then check what the RSI value was there and store the array inside the right matrix. It will use this matrix to calculate the averages, highs and lows of all these arrays for that specific RSI zone. It uses a simple arithmatic averaging method to get average value. The script uses a similar approach for projecting the RSI itself into the future. I include a visual showing it a bit better. This is from a different indicator of me using same approach: The script will force you into a specific background, bar color and color template. Script is not meant to be used with other scripts and should be used as a standalone tool.
Penunjuk Pine Script®
oleh Honestcowboy
1
Hedge Mini Calculator (Avg Long/Short + Alerts) with dca Hedge Mini Calculator is a position-management indicator for traders who use long & short hedging. It plots: Long average price Short average price Optional hedge close level (+% above hedge average) The indicator also provides alerts when price reaches the long or short average, helping you manage hedge exits and directional bias with precision. Designed for risk control, not signals. 🔹 How to Use (Simple & Clear) 1. Enter Your Positions In the indicator settings: Add the dollar amount and entry price for each long leg Add the dollar amount and entry price for each short leg Set your leverage (default x4) The indicator does not connect to your exchange. All values are entered manually. 2. Read the Lines Avg Long line → average entry of all long positions Avg Short line → average entry of all short positions Hedge Close line (optional) → price level where you may close shorts and stay long 3. Use Alerts You can create alerts for: Price reaching Avg Long Price reaching Avg Short Alerts trigger when the candle touches the average price (high–low range). 4. Manage the Hedge Typical workflow: Keep both long & short active while price is inside the range When price moves favorably and reaches your target level: Close the hedge leg (usually shorts) Keep the directional position (longs) 5. PnL Awareness The info table shows: Estimated Long PnL Estimated Short PnL Net PnL (based on margin & leverage) These values are approximations for decision support. ⚠️ Disclaimer This indicator is not a trading signal. It is a position management tool for hedging, scaling, and risk control.
Penunjuk Pine Script®
oleh Nikoskosisland
SHFE Silver Premium vs COMEX (USD/oz)This indicator measures the SHFE–COMEX silver premium/discount in USD per troy ounce. SHFE silver is quoted in CNY per kilogram, so the script first converts SHFE:AG1! into USD/oz using the current USD/CNY exchange rate and the exact kg → troy oz factor (32.1507466). It then calculates: Premium (USD/oz) = SHFE_USD/oz − COMEX_USD/oz How to interpret: Positive bars: SHFE is trading above COMEX (premium) Negative bars: SHFE is trading below COMEX (discount) Persistent regimes can reflect currency dynamics, regional liquidity, import/export constraints, and shifts in industrial demand. How to use: Add this indicator beneath the companion overlay indicator “SHFE Silver Price Discovery (USD/oz)” to keep the price chart readable while still visualizing divergence. Watch for sustained premium expansions/contractions as inter-market confirmation signals, especially during volatile periods. This indicator is intended for macro and inter-market analysis, not short-term scalping.
Penunjuk Pine Script®
oleh HighGecko
SHFE Silver Price Discovery (USD/oz)This indicator converts Shanghai Futures Exchange (SHFE) silver futures into USD per troy ounce and optionally overlays COMEX silver futures for direct, same-unit comparison. SHFE silver is quoted in CNY per kilogram, while COMEX is quoted in USD per troy ounce. To make SHFE prices comparable on the same chart, the script: pulls SHFE:AG1! close (CNY/kg) pulls USD/CNY FX rate converts to USD/oz using the exact kg → troy oz factor (32.1507466) Why this is useful: SHFE pricing often reflects different drivers than Western paper markets (currency effects, local liquidity, industrial demand, and regional availability). Normalizing SHFE into USD/oz lets traders and investors monitor inter-market alignment and spot periods where Eastern pricing diverges from COMEX. How to use: Use the SHFE USD/oz line as a “physical-demand-sensitive” reference. Overlay COMEX to compare regional pricing and identify multi-week divergence regimes. For the premium/discount histogram, use the companion indicator: “SHFE Silver Premium vs COMEX (USD/oz)”. This indicator is designed for macro and inter-market analysis rather than short-term scalping.
Penunjuk Pine Script®
oleh HighGecko
T3 MACD BB flow What this script does – in plain words Smoothes the MACD with a special T3 filter, turning the raw MACD into a smoother line so short‑term noise is reduced. Draws Bollinger‑style bands around that smoothed MACD, giving a “mid line” and upper/lower envelopes that show how far the line is from its recent average. Colors the main line green when it’s rising and red when it’s falling, helping you see the trend at a glance. Adds a bold zero line plus light gray markers on the bands so you can spot crossovers easily. Includes a translucent blue fill between the upper and lower bands for visual emphasis. This gives a clear, color‑coded view of MACD momentum plus volatility bands—all on the same indicator pane.
Penunjuk Pine Script®
oleh luckyrooster
Bull Engulf @ Rolling Support + HTF Confluence (2-8w) This indicator is designed to identify high-probability bullish reversal setups that occur at proven support levels, with confirmation from higher timeframes. It is built for swing traders targeting 2–8 week moves, prioritizing win rate and trade quality over frequency. The script focuses on institutional-style price behavior: pullbacks into support, seller exhaustion, and clear buyer confirmation before entry. Core Logic A signal is generated only when all of the following align: Bullish Engulfing Candle Current candle fully engulfs the prior candle’s body Optional filters ensure strong momentum (close above prior high, meaningful candle size) Rolling-Low Support Price must be near a rolling support level based on recent swing lows Support adapts dynamically to market structure Higher Timeframe (HTF) Confluence Daily setups can require alignment with weekly and monthly support Weekly setups can require monthly support This dramatically reduces low-quality signals Strongest-Only Scoring System Each setup is scored based on: Proximity to support HTF confluence Candle strength Volume and volatility filters Only setups meeting a minimum score threshold are shown Signals & Labels SETUP / TOP label Appears when a valid bullish engulfing forms at support with HTF confirmation. ENTRY label Appears when price breaks above the high of the engulfing candle (confirmation entry). Support Lines Local (rolling) support Weekly and Monthly support (when applicable) Each label includes: Timeframe Score Support distance Suggested risk level A standardized options structure for 2–8 week trades Intended Trading Style Timeframe: Daily and Weekly charts Trade Duration: ~2–8 weeks Market Type: Stocks (best on liquid, mid/large-cap names) Approach: Wait for price to come to support Wait for buyers to prove control Enter only after confirmation This indicator is not designed for: Day trading Chasing breakouts High-frequency signals Fewer signals is intentional. How to Use Apply the indicator to Daily or Weekly charts Wait for a SETUP/TOP label at support Enter only after the ENTRY confirmation (break above engulfing high) Use the displayed risk level to define invalidation Let the trade develop over multiple weeks Alerts can be enabled for: Pre-market watchlist signals (yesterday’s setups) Confirmed signals at the close Entry confirmation Why This Works Markets often reverse at support, not randomly. By combining: Structural support Price-action confirmation Higher timeframe alignment this indicator filters out most noise and focuses on areas where larger participants are likely active. Disclaimer This indicator is for educational and analytical purposes only. It does not constitute financial advice. Always manage risk appropriately.
Penunjuk Pine Script®
oleh cooperj1187
Pro-Vision ATR + ExhaustionThis indicator is designed to provide Real-Time Volatility Guardrails. Unlike standard ATR indicators that plot a single line at the bottom of your chart, this tool projects volatility "shells" directly onto the price action from the current candle. It answers the most critical question in a live trade: "How far can this stock move right now before it is statistically exhausted?" The Components Current ATR Centerpiece: The lines originate from the most recent price action, updating live with every tick. Target Lines (1.5x ATR - Yellow): These represent the "Normal Expected Move." In a healthy trend, price often reaches these levels without much resistance. Exhaustion Lines (3.0x ATR - Red): These represent "Extreme Volatility." Statistically, it is rare for price to sustain a move beyond 3x its average range in a single period without a pullback or consolidation. How to Trade It 1. Profit Taking (The "Target" Exit) If you are in a long position and price hits the Yellow Upper Line, it has achieved its expected volatility move for that timeframe. Strategy: Scale out 50% of your position here. This locks in gains based on math rather than emotion. 2. Reversal Trading (The "Exhaustion" Play) When price pierces or touches the Red Exhaustion Line, the asset is "overbought" or "oversold" relative to its recent volatility. Strategy: Look for a reversal candle (like a shooting star or hammer) touching the red line. The Trade: Short the asset at the red line with a tight stop, or close your long position immediately. These levels often act as "invisible" ceilings. 3. Setting "Smart" Stop Losses Standard stops are often placed at arbitrary percentages. Using this indicator, you can place your stop just outside the 1.5x ATR line. Strategy: If you enter a trade and price moves past the opposite ATR line, the volatility has shifted against you, and the original trade thesis is likely invalid. 4. Filtering Bad Entries (The "Don't Chase" Rule) Strategy: If you are looking to go Long, but the price is already sitting at the Yellow Line, the "meat of the move" is likely over. Rule: Never enter a new position if the price is already 75% of the way to the Red Exhaustion line. Wait for a mean reversion back to the middle.
Penunjuk Pine Script®
oleh day_trade_mind
MoneyMakers Scalping Signals1-5 min frame, a versatile market indicator designed to highlight emerging trends and structural shifts in crypto price action before they fully develop. By combining price dynamics, momentum behavior and market context into a clean visual output, it helps traders make more informed decisions without noise or lag. Suitable for both short- and mid-term analysis, the indicator offers a clearer view of potential reversal zones, trend continuations and key market cycles.
Strategi Pine Script®
oleh Zebras206
ATH Dip Levels - Crypto Edition with Reactive TPHarika bir fikir! Bu indikatörü toplulukla paylaşırken (TradingView Public Library veya GitHub gibi), insanların stratejinin mantığını ve gücünü anlamaları için etkileyici bir İngilizce açıklama hazırladım. İşte paylaşımın için kullanabileceğin başlık, özet ve özellikler listesi: 🚀 Indicator Title: ATH Dip Levels - Crypto Reactive Strategy Overview This indicator is a specialized "Buy the Dip" and "Reactive Take Profit" system designed specifically for the high volatility of the crypto market. Instead of following lagging indicators, it focuses on the most fundamental metric: Percentage drawdown from the rolling All-Time High (ATH). It identifies historical discount zones and automatically calculates a "Reactive Take Profit" target for each entry, allowing you to scale out during market bounces. Key Features 📉 1. Dynamic Buy Zones (DCA Levels) The script tracks a rolling 220-day ATH and plots 7 distinct discount levels: Minor Pullbacks: 10%, 20% Major Corrections: 30%, 40% Capitulation / Bear Market Bottoms: 55%, 70%, 85% (Highlighted in Neon for max opportunity). 💰 2. Reactive Take Profit (The "Half-Drop" Rule) This is the core of the strategy. For every buy level triggered, the script automatically sets a "RE-SELL" target based on the severity of the drop: Logic: The profit target is exactly half of the percentage drop. Example: If you buy at a 30% dip, the target is a +15% recovery from that entry. Example: If you buy at a 70% dip, the target is a +35% recovery from that entry. This captures the natural "Dead Cat Bounce" or "Mean Reversion" common in crypto. 🧠 3. Intelligent State Management Single Trigger per Cycle: Each level triggers only once per ATH cycle to avoid "choppy" market noise. Automatic Reset: All levels and status flags reset automatically when the price makes a New ATH, preparing you for the next market cycle. 📊 4. Live Status Dashboard A clean, real-time table on the top-right shows you: Current ATH price. Which buy levels have been Hit (✅). Which profit targets have been Sold (💰). How to Use Accumulate: When price hits a green "BUY" label, it's a historical discount zone. Scale Out: When price hits the purple "RE-SELL" label, take profits on that specific position to reclaim liquidity. HODL the Rest: Use this to lower your break-even price while keeping a "moon bag" for the next ATH. Author's Note Best used on 4H and 1D timeframes. This is a mathematical approach to volatility, removing emotions from your trading.
Penunjuk Pine Script®
oleh ardagzkr
Percentage Price LevelsPercentage Price Levels displays dynamic price levels based on percentage gains and losses from the current price. Instantly visualize where price would be at ±2%, ±4%, ±6%, ±8%, ±10%(and beyond) — perfect for setting profit targets, stop-losses, and understanding potential price movement. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHAT IT DOES • Draws horizontal lines at percentage-based price levels above and below current price • Green lines = potential profit targets (positive %) • Red lines = potential stop-loss zones (negative %) • Yellow line = current price reference • Summary table shows all levels in a clean, easy-to-read format ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ FEATURES • Up to 8 positive and 8 negative percentage levels • Fully customizable percentages (set your own values) • Toggle each level on/off individually • Adjustable font size (Tiny to Huge) • Multiple line styles (Solid, Dashed, Dotted) • Movable summary table (any corner) • Base price options: Close, Open, High, Low, HL2, OHLC4 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 HOW TO USE 1. Add the indicator to your chart 2. Default shows ±2%, ±4%, ±6%, ±8%, ±10% levels 3. Open Settings to customize: • Enable/disable specific levels • Change percentage values • Adjust colors and font size • Move table position ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 USE CASES • Day Trading — Quick intraday profit targets • Swing Trading — Visualize multi-day price zones • Risk Management — Set stop-losses based on % risk tolerance • Options Trading — Find strike prices relative to spot • Position Sizing — See exact dollar values at each level ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 DEFAULT SETTINGS Positive: +2%, +4%, +6%, +8%, +10% (3 extra slots available) Negative: -2%, -4%, -6%, -8%, -10% (3 extra slots available) Font Size: Normal Line Style: Dashed ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ If you find this useful, please leave a like! Feedback and suggestions welcome in the comments.
Penunjuk Pine Script®
oleh bigmabig
Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution Introduction: The Death of Static Analysis The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicators—using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing. The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart. By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guess—it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent. This is Survival of the Fittest applied to technical analysis. 1. The Core Engine: Gradient Boosting & Adaptive Learning At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models. How the GBM Works: Ensemble Prediction: The system aggregates signals from 13 different mathematical models. Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual). Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility. Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence. Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0. The "Winner-Takes-All" Philosophy A common failure in ensemble systems is "Signal Dilution"—where good signals are drowned out by bad ones. The MCPS solves this with Aggressive Weight Concentration: Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy. The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers. Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners. 2. The 13 Algorithmic Pillars The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages. Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise. Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly. Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness. Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles. Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns. Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points. MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period. Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave. Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action. Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity. Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified). Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously. Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles. 3. The Dashboard: Total Transparency Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen. The Weight & Accuracy Table (Bottom Right) This is your "Under the Hood" view. It displays: Algorithm: The name of the model. Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%). Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones. Prob/Sig: The raw probability and directional signal (Up/Down). The GBM Stats Table (Bottom Left) Tracks the health of the Machine Learning engine: Iterations: How many learning cycles have occurred. Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned. Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models. Confidence & Agreement: Statistical measures of the signal strength. 4. How to Trade with MCPS This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color. Strategy A: The Zero-Cross (Trend Reversal) Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation. Bearish: When the Cycle Line crosses below 0. Strategy B: Probability Extremes (Mean Reversion) Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom. Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down. Strategy C: Regime Filtering The background color changes based on the aggregate consensus: Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals. Red/Orange: Bearish Regime. Look primarily for Short entries. Gray: Neutral/Choppy. Reduce position size or wait. 5. Configuration & GBM Settings The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters. Prediction Horizon: How many days into the future are we trying to predict? (Default: 3). Accuracy Lookback: How far back does the model check to calculate "Accuracy"? GBM Learning Rate: Controls how fast the model adapts. High (0.2+): Adapts instantly to new market conditions but may be "jumpy." Low (0.05): Very stable, long-term adaptation. Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome. Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%). 6. Technical Nuances (For the Geeks) Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust. Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise. Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market). Disclaimer: This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management. The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals. Author's Note: I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to choose—the math chooses for you. Please leave a boost and a comment if you find this helpful!
Penunjuk Pine Script®
oleh jaydesaigu
Precision Trend Signal V5Strategy Logic OverviewThis indicator is a "Triple-Confirmation" trend-following system. It combines volume-weighted smoothing, immediate price action, and momentum filtering.1. Core ComponentsEMA 1 (The Trigger): Since the period is set to 1, this represents the raw price action. It acts as the fastest possible trigger to capture entries at the exact moment a trend shifts.SALMA (The Baseline): This is a double-smoothed moving average. It provides a stabilized support/resistance line that filters out market noise better than a standard SMA.Tillson T3 (The Trend Filter): Known for its low lag and extreme smoothness. We use this as a "Guardrail." We only take BUY signals when price is above the T3 and SELL signals when price is below it.RSI (The Momentum Filter): Ensures that we only enter a trade when there is sufficient strength ($> 50$ for Long, $< 50$ for Short).2. Signal Rules🚀 BUY SignalA green BUY label appears when:Crossover: EMA 1 crosses above the SALMA line.Trend: The current price is trading above the Tillson T3 line.Momentum: RSI is greater than 50.🔻 SELL SignalA red SELL label appears when:Crossunder: EMA 1 crosses below the SALMA line.Trend: The current price is trading below the Tillson T3 line.Momentum: RSI is less than 50.3. Execution & ManagementTake Profit (TP): Based on your preference, the suggested target is 2%.Alerts: The script includes alertcondition functions. You can set up TradingView alerts to send Webhooks to your quant infrastructure or bot, solving the "manual execution" problem you mentioned.
Penunjuk Pine Script®
oleh Oguzbey07
Range Breakout Statistics [Honestcowboy]⯁ Overview The Range Breakout Statistics uses a very simple system to detect ranges/consolidating markets. The principle is simple, it looks for areas where the slope of a moving average is flat compared to past values. If the moving average is flat for X amount of bars that's a range and it will draw a box. The statistics part of the script is a bit more complicated. The aim of this script is to expand analysis of trading signals in a different way than a regular backtest. It also highlights the polyline tool, one of my favorite drawing tools on the tradingview platform. ⯁ Statistics Methods The script has 2 different modes of analyzing a trading signals strength/robustness. It will do that for 2 signals native to the script. Upper breakout: first price breakout at top of box, before max bars (100 bars by default) Lower breakout: first price breakout at bottom of box, before max bars The analysis methods themselves are straightforward and it should be possible for tradingview community to expand this type of analysis to other trading signals. This script is a demo for this analysis, yet some might still find the native signals helpful in their trading, that's why the script includes alerts for the 2 native signals. I've also added a setting to disable any data gathering, which makes script run faster if you want to automate it. For both of the analysis methods it uses the same data, just with different calculations and drawing methods. The data set is all past price action reactions to the signals saved in a matrix. Below a chart for explaining this visually. ⯁ Method 1: Averages Projection The idea behind this is that just showing all price action that happened after signal does not give actionable insights. It's more a spaghetti jumble mess of price action lines. So instead the script averages the data out using 3 different approaches, all selectable in the settings menu. Geometric Average: useful as it accurately reflects compound returns over time, smoothing out the impact of large gains or losses. Accounts for volatility drift. Arithmetic Average: a standard average calculation, can be misleading in trading due to volatility drift. It is the most basic form of averaging so I included it. Median: useful as any big volatility huge moves after a signal does not really impact the mean as it's just the middle value of all values. These averages are the 2 lines you will find in the middle of the projection. Having a clear difference between a lower break average and upper break average price reaction can signal significance of the trading signal instead of pure chaos. Outside of this I also included calculations for the maximum and minimum values in the dataset. This is useful for seeing price reactions range to the signal, showing extreme losses or wins are possible. For this range I also included 2 matrices of highs and lows data. This makes it possible to draw a band between the range based on closing price and the one using high/low data. Below is a visualisation of how the averages data is shown on chart. ⯁ Method 2: Equity Simulation This method will feel closer to home for traders as it more closely resembles a backtest. It does not include any commissions however and also is just a visualisation of price reaction to a signal. This method will simulate what would happen if you would buy at the breakout point and hold the trade for X amount of bars. With 0 being sell at same bar close. To test robustness I've given the option to visualise Equity simulation not just for 1 simulation but a bunch of simulations. On default settings it will draw the simulations for 0 bars holding all the way to 10 bars holding. The idea behind it is to check how stable the effect is, to have further confirmation of the significance of the signal. If price simulation line moves up on average for 0 bars all the way to 10 bars holding time that means the signal is steady. Below is a visualisation of the Equity Simulation. ⯁ Signal filtering For the boxes themselves where breakouts come from I've included a simple filter based on the size of the box in ATR or %. This will filter out all the boxes that are larger top to bottom than the ATR or % value you setup. ⯁ Coloring of Script The script includes 5 color themes. There are no color settings or other visual settings in the script, the script themes are simple and always have colors that work well together. Equity simulation uses a gradient based on lightness to color the different lines so it's easier to differentiate them while still upper breaks having a different color than lower breaks. This script is not created to be used in conjunction with other scripts, it will force you into a background color that matches the theme. It's purpose is a research tool for systematic trading, to analyse signals in more depth. Metaverse color theme: ⯁ Conclusion I hope this script will help traders get a deeper understanding of how different assets react to their assets. It should be possible to convert this script into other signals if you know how to code on the platform. It is my intention to make more publications that include this type of analysis. It is especially useful when dealing with signals that do not happen often enough, so a regular backtest is not enough to test their significance.
Penunjuk Pine Script®
oleh Honestcowboy
1
4H Session High/Low4H Asia Session Anchor Range Description: This indicator identifies and plots the price range of the specific 4-hour candle starting at 04:00 (local time). By utilizing Multi-Timeframe (MTF) logic, the high and low boundaries (wick-to-wick) remain fixed and accurate even when scaling down to lower timeframes like the 1-minute or 5-minute charts. The levels extend horizontally to the right, providing clear institutional support and resistance zones based on the early morning volatility.
Penunjuk Pine Script®
oleh nirree11