Trapped Traders EBPThe Trapped Traders Indicator is used to predict overall Market bias, with green being longs, and red being shorts.
The autofibs are 0%,25%,50%,and 100%. After an autofib and directional bias is generated, you'll want to look for an entry on a lower time frame somewhere between the 25% and 50% ideally.
A simple trading plan:
Use the indicator on the 4 Hour chart. Wait until you get an autofib. Zoom down to the 5 minute chart and wait for price to reach the 25% retracement. Look for an entry using an entry model of your choice. For example: an engulfing 5 minute bar in the direction of your bias, an order block, fair value gap, or choch in your favor.
This method of trading was introduced to me by Omar Agag. Cheers to prosperity, brother!
Good luck! And happy trading!
Forecasting
WC Cross Clouds with Arrows - Customizable EditionThis is an enhanced and fully customizable version inspired by the original "WC CROSS CLOUDS with Arrows" indicator by AlfsDipz (thank you for the great foundation!).
What it shows:
• Two clouds for visual trend context:
- Static black WMA cloud (default WMA 21 & 24) – helps identify overall market structure
- Directional cloud (default SMA 9 & 21, but fully configurable) – green when fast MA is above slow MA (bullish), red when below (bearish)
• Clean signals with arrows + text:
- Green triangle up + "LFG" → New bullish regime starts (fresh crossover upward)
- Red triangle down + "DBD" → New bearish regime starts (fresh crossover downward)
• Small realtime label showing current regime + bars since last signal
New features / improvements compared to original:
• Fully user-configurable MA lengths for both clouds
• Choose MA type for the directional cloud (SMA, EMA, or WMA)
• Customizable source (close, hl2, open, etc.)
• Cleaner signal logic (only shows arrows when trend direction actually changes)
• No duplicate/false signals during ranging markets
• Works in Pine Script v6 (latest version)
How to use:
- Green cloud + "LFG" arrow → potential long opportunity
- Red cloud + "DBD" arrow → potential short / exit long
- Use together with your own price action, support/resistance, volume, etc.
Feel free to use, modify, expand, fork, or build upon this script however you like!
Credit to AlfsDipz for the original concept and cloud style that inspired this version.
Happy trading everyone!
Dove– Chesapeake, VA
UTC-5 Time MarkersFor model 110 of DTT use flout with this as a bias and you will catch high wr high rr trades for this certain time window of continuation or reversal
ChunkbrAI-NN INDIChunkbrAI-NN INDI: The Neural Network Odyssey
A Native Pine Script Neural Network Research Engine
Welcome to ChunkbrAI-NN 5.3. This is not a standard technical indicator; it is a proof-of-concept Artificial Intelligence engine built entirely from scratch within Pine Script.
Neural Networks typically require iterating over massive datasets, a task that usually times out on TradingView. ChunkbrAI solves this by introducing a novel "Chunking Architecture"—a system that breaks history into digestible learning blocks and trains a Multilayer Perceptron (MLP) using a "Chunking" approach.
It features a living ecosystem where neurons have "genes," grow mature, and adapt to market regimes using a highly sophisticated Context-Aware normalization engine.
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The Core Concept: "The Time Wheel"
To bypass Pine Script's execution limits, this script does not train linearly from the beginning of time. Instead, it operates like a spinning wheel of experience.
* The Chunk System: On every bar update, the engine reaches back into history (up to 5000 bars) and grabs random or sequential "Chunks" of data. It treats these chunks as isolated training samples.
* Experience Replay: By constantly revisiting past market scenarios (Chunks), the network slowly converges its weights, learning to recognize patterns across different eras of price action.
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Architecture & Modules
A. The Neural Core (MLP)
At the heart is a raw neural network built with arrays:
* Topology: A dense network with a customizable Hidden Layer (Default: 60 Neurons).
* Timewarp (Stride): When enabled, the network uses "dilated" inputs (skipping bars, e.g., 1, 3, 5...). This increases the network's Field of View without increasing computational load.
* Forecasting: The network outputs a standardized prediction which is then de-normalized to project the future price path on your chart.
B. The Context System (The "Eyes")
Raw prices confuse neural networks. A $1000 move in Bitcoin is massive in 2016 but noise in 2024. ChunkbrAI uses a relativistic Context System:
* Regime Detection: It uses a Zero-Lag Moving Average (ZLMA) and Non-Linear Regression to measure the current market "Vibe" (Volatility & Trend).
* Dynamic Normalization: The inputs are scaled based on this context. If the market is volatile, the data is compressed; if calm, it is expanded. This ensures the brain receives consistent signal patterns regardless of the absolute price.
C. The Gene System (Neuro-Plasticity)
This is the experimental "biology" layer. Neurons are not just static math; they have life cycles.
* Maturity: Neurons start "Young" (highly plastic, high mutation rate). As they successfully reduce error, they become "Wise" (stable, low mutation).
* Mutation: If a "Wise" neuron begins failing (high error), it is demoted and forced to mutate. This allows the brain to "forget" obsolete behaviors and adapt to new market paradigms automatically.
* Profiles: You can initialize the brain with different personalities (e.g., Dreamer, Young Chaos, Zen Monk).
D. The Brain Scheduler (Adaptive Learning)
A static Learning Rate (LR) is inefficient. The Brain Scheduler acts as the heartbeat:
* Panic vs. Flow: It monitors the derivative of the error. If the error spikes (Panic), the Scheduler slows down learning to prevent the model from exploding. If the error smooths out (Flow), it accelerates learning (Infinite LR Mode).
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Forecasting Modes
The script provides two distinct ways to visualize the future:
1. Direct Projection (Green Line):
The network takes the current window of price action and predicts the immediate next step. If Timewarp is active, it interpolates the result to draw a smooth curve.
2. Autoregression (Cyan Line):
Available in "Auto" mode. The network feeds its *own* predictions back into itself as inputs to generate multi-step forecasts.
* Wave Segmentation: The script intelligently guesses the current market cycle length and attempts to project that specific duration forward.
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Operation Manual
The script has two distinct training loops: first, when you add it to a chart, Pine runs through the available historical bars once, and this initial history pass is the main training phase where the network iterates chunk-by-chunk using your configured chunk count/iterations (e.g., if chunk count is 3, it performs 3 chunk updates per step), but pushing chunk count, iterations, or model sizing too high can hit Pine’s execution limits; after that, once real-time candles start printing, the script can either keep training (weights continue updating) or freeze the weights and run inference only, producing predictions from the learned parameters, and if live training is enabled it can also simulate “bars-back” style training during live mode by iterating across prior bars as if doing another history pass—which again can run into limits if chunks/iterations/sizing are too heavy—so when changing parameters to evaluate behavior you change them carefully and individually, because multiple simultaneous increases make it hard to attribute effects and can more easily trigger those execution constraints.
Weight Persistence (Save/Load):
Pine Script can’t write files or persist weights directly, so ChunkbrAI uses a library-based workaround that’s honestly tricky and kind of a pain: you enable the weight-export alerts so the script emits the weights (W1/W2/biases etc.) as text, and those payloads are chunked as well; then, outside TradingView, I use a separate Python script to parse the alert emails, reconstruct and format the chunked weights properly, and generate the corresponding library code files; after that, the libraries have to be published/updated, and only then can the main script “restore” by reading the published lib constants on chart load, effectively starting with the pre-trained weights instead of relying purely on the fresh history-run training pass. I don’t recommend this process unless you really have to—it’s fragile and high-effort—but until TradingView implements some simple built-in data storage for scripts, it’s basically the only practical way to save and reload your models.
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Limitations & Notes
* Calculation Limits: This script pushes Pine Script to its absolute edge. If you increase Chunk Size or Hidden Size too much, you WILL hit execution limits. Use the defaults as a baseline.
* Non-Deterministic: Because the "Wheel" picks random chunks for training, two instances of this script might evolve slightly different brains unless you use the Restore Weights feature.
* Experimental: This is a research tool designed to explore Neural Networks and Genetic Algorithms on the chart. Treat it as an educational engine, not financial advice.
Credits: Concept and Engineering by funkybrown.
Standard Deviation Linesplot standard deviation lines for 1sd, 2sd, 3sd. The user gives the data for the standard deviation and the time.
SILVER (XAGUSD) Targets📌 AG Target – XAU-Based Silver Target Levels
AG Target is a ratio-based indicator designed to analyze Silver (XAGUSD) using the price of Gold (XAUUSD) as a reference.
The indicator projects dynamic target, support, and resistance levels on the silver chart by dividing the Gold price by historically significant XAU/XAG ratios.
🔍 How It Works
Retrieves XAUUSD (Gold spot price)
Divides it by predefined XAU/XAG ratio levels
Plots the resulting values directly on the XAGUSD chart
Fixed ratio levels used:
44.260
39.628
31.707
These ratios represent historically important zones in the Gold–Silver ratio.
🎨 Visual Logic
Green line → XAG price is above the level
Red line → XAG price is below the level
Line thickness increases with level importance
🚨 Alert System
The indicator includes individual alerts and one combined alert:
Separate alerts for each ratio level crossover
A single combined alert triggers when XAG price crosses any of the target levels
Alerts are triggered only on real cross events, avoiding repeated signals.
🏷️ Label Features
Automatic target labels on the last bar
Toggle labels on/off
Adjustable transparency, size, and horizontal offset
Labels display:
Current target price
Corresponding XAU/XAG ratio
🎯 Who Is This For?
Traders using the Gold–Silver ratio
Macro and ratio-based analysts
Medium to long-term silver traders
Users who prefer clean, objective price levels on their charts
⚠️ Disclaimer
This indicator is not financial advice.
It is designed as a ratio-based reference tool and should be used together with other technical or fundamental analysis methods.
Current Candle DateTimeThis is a simple script that users can easily see that datetime of the current candle. This is useful when backtesting and you want to be able to quickly glance and see where we are up to. Useful for when you are backtesting a strategy and trying to stay within a particular trading session.
The indicator will display in the top right hand corner, so it wont get in the way of any other analysis.
Adaptive AI SuperTrend [AlgoPoint]🚀 Adaptive AI SuperTrend
Adaptive AI SuperTrend is a high-performance trading terminal that redefines trend-following by integrating Machine Learning (ML) principles with advanced market regime detection. Unlike static indicators, this system dynamically recalibrates its internal parameters to match the ever-changing volatility of the financial markets.
Equipped with a custom "Wizard Engine," it filters out market noise during consolidation and identifies high-probability trend continuation points, making it an essential tool for scalpers, day traders, and swing traders alike.
🧠 What Makes it "AI"?
While traditional indicators use fixed rules, Adaptive AI SuperTrend utilizes Algorithmic Intelligence to make real-time decisions:
KNN-Inspired Adaptation: The engine analyzes the last 150 bars of volatility and trend strength to automatically adjust its sensitivity.
Market Regime Intelligence: It distinguishes between "Trending" and "Ranging" states using a sophisticated Squeeze Momentum module, preventing "whipsaws" during low-volume periods.
Self-Backtesting Logic: The indicator continuously calculates its own historical Win-Rate. If the probability of success falls below a certain threshold, it suppresses lower-quality signals.
🛠 Key Features
Dynamic Consolidation Boxes: Automatically identifies and wraps "choppy" price action in professional gray boxes. It waits for 3+ bars of consolidation before marking the zone, helping you spot breakout opportunities early.
Multi-Strategy Aggression:
- Conservative: Filtered signals for long-term trend following.
- Balanced: Optimized for daily volatility.
- Aggressive: High-frequency signals for capturing micro-trends.
Dual-Exit Risk Management:
- ATR TP-SL Mode: Sets mathematical targets based on market volatility with persistent on-screen lines.
- Smart Trailing Mode: Rides the trend to its exhaustion point. Includes intelligent labeling (🎯 TP or 🛑 SL) based on the trade's net profitability.
- RSI Pullback Confirmation: Beyond simple trend flips, it detects "buy the dip" or "sell the rip" opportunities within an existing trend using RSI 50-level crossovers.
📊 Real-Time Analytics Dashboard
The integrated AlgoPoint Dashboard provides a surgical view of the market:
- Market State: Instant "Trending" vs. "Ranging" (Consolidation) detection.
- Trend Strength: ADX-based momentum tracking.
- Strategy Status: Real-time feedback on your active aggression and exit modes.
🎨 Clean Charting & Customization
Built for professional clarity, you have total control over the UI:
Toggle Consolidation Boxes on/off.
Toggle ATR Target Lines and Exit Labels.
Customize background filters and dashboard visibility.
Smart Take ProfitThis script for EURUSD on the M3 timeframe detects Take Profit zones close to a reversal, automatically displays TP1, TP2, and Stop Loss, and follows the RSI + Bollinger Band + ATR logic.
It triggers an exit signal when the price touches a Bollinger Band, when the RSI is in an extreme zone, or when there is a rejection candle.
It automatically calculates the TP at 0.8 ATR, TP2 at 1.0 ATR, and the Stop Loss at 0.6 ATR.
It operates on the EURUSD M3 timeframe. You decide the entry point. This indicator is not a trading strategy.
Volume Conviction Index v1.0Volume Conviction Index V1 (VCI V1)
A robust, outlier-resistant volume oscillator designed to reveal real market participation and conviction behind price moves.
- Brief explainer -
v1.0 : Added a median line to show the movement and ultimate conviction of current price waves irrespective of current conviction. conviction can be extremely low (below zero line), yet price can be pumping, which shows the end of the current trend may be exhausting. divergence happens with this indicator is VERY FAST when tuned into it.
Core features:
• Median + MAD-based Z-score on volume (ignores extreme spikes/noise)
• Weighted blend: 60% robust deviation + 40% directional conviction (recent change % + relative volume %)
• Aggressive low-TF filter: optional rolling median line around zero to slice through 1min/3min chop
• Positive bars (teal) = unusual upward participation / conviction
• Negative bars (orange) = unusual weakness or drying volume
Use cases:
• Confirm breakouts, reversals, or exhaustion (e.g., spike on neckline breach)
• Filter false moves in low-liquidity or noisy periods
• Pair with Median Anchor Oscillator (MAO), Real Deviation Strength (RDS), and Anchor Pulse Wave (APW) for full conviction suite
V1 is raw and minimal — no signals, labels, or alerts yet. Feedback welcome for V2!
Companion suite:
• Median Anchor Oscillator
• Real Deviation Strength (RDS)
• Anchor Pulse Wave
© RU55IANROUL3TT3
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Last Candle + Previous Day + Pre-Market- RangeV2 of the Indicator (Test)
Last Candle + Previous Day + Pre-Market Script – Features
Last Candle Levels (Current Timeframe)
Draws horizontal lines at the high and low of the last confirmed candle.
Optional display of the candle range in percentage.
Lines automatically update and move correctly when zooming or changing the timeframe.
Previous Day High / Low
Shows the high and low of the previous trading day as dashed lines.
Lines are automatically updated and extend to the right, following the price scale.
Works on any timeframe chart.
Pre-Market High / Low
Highlights the pre-market session (default 04:00–09:30) with dotted lines.
Only calculated during intraday charts.
Lines behave exactly like the daily range lines: zoomable, shiftable, and extendable.
Optional toggle to enable or disable.
Customization Options
Colors for TF candle, daily range, and pre-market range lines.
Length of line extension to the right can be adjusted.
Toggle which levels to show: current TF, previous day, pre-market.
Stable & Safe in Pine Script v6
No repaint issues.
Works reliably on all intraday and daily charts.
Compatible with zooming and chart shifting.
If you want, I can also create a very short “user guide” with screenshots / labels in the chart, so it’s immediately clear what each toggle and line represents.
Do you want me to do that next?
Crypto Prev Day/Week Hi-Lo (UTC)escription
Crypto Prev + This Day/Week Hi-Lo (UTC) plots key high/low levels for crypto markets using a 24-hour session anchored to 00:00 UTC.
This indicator is designed for traders who treat crypto as a true 24/7 market and want consistent, global day/week levels that don’t shift with daylight savings.
What it plots
PDH / PDL = Previous Day High / Previous Day Low
PWH / PWL = Previous Week High / Previous Week Low
TWH / TWL = This Week High / This Week Low
00:00 UTC vertical line = marks the start of a new UTC day
Abbreviations
PDH = Previous Day High
PDL = Previous Day Low
PWH = Previous Week High
PWL = Previous Week Low
TWH = This Week High
TWL = This Week Low
UTC = Coordinated Universal Time (global standard time reference)
Short Option Intrinsic + Option Price + Time ValueThis code print out and plot the intrinsic values, time values and the option price on the screen. This tells your how likely a short option will be exercised. User needs to select the option type (call, or put). Then input strike price and the current option price.
AI Academy: Volume k-NN [PhenLabs]📊 AI Academy: Volume k-NN
Version: PineScript™ v6
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📌 Description
AI Academy: Volume k-NN (Theory Edition) is an educational indicator designed to demystify how artificial intelligence pattern recognition works directly on your TradingView charts. Rather than being a black-box signal generator, this tool visualizes the entire k-Nearest Neighbors algorithm process in real-time, showing you exactly how AI identifies similar historical patterns and generates predictions.
The indicator scans up to 2,000 historical bars to find patterns that match your current price action, then uses an ensemble of the closest matches to project potential future movement. What sets this apart is the integrated “AI Grimoire”—an interactive educational book overlay that teaches core machine learning concepts through four illuminating chapters.
Whether you’re a trader curious about AI methodology or a developer learning algorithmic concepts, this indicator transforms abstract machine learning theory into tangible, visual understanding.
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🚀 Points of Innovation
• First TradingView indicator to visualize k-NN algorithm execution in real-time with full transparency
• Interactive “AI Grimoire” educational overlay teaches machine learning concepts while you trade
• Dual-mode pattern matching combines price action with optional volume confirmation
• Confidence-based opacity system visually communicates prediction reliability
• Historical match visualization shows exactly which past patterns informed the prediction
• Ghost bar projections display averaged ensemble predictions with adjustable forecast horizons
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🔧 Core Components
• Pattern Capture Engine: Converts recent price action into logarithmic returns for normalized comparison across different price levels
• k-NN Search Algorithm: Calculates Euclidean distance between current pattern and historical patterns to find closest matches
• Volume Weighting System: Optional feature that incorporates volume patterns into distance calculations with adjustable influence
• Ensemble Predictor: Averages future returns from k-nearest historical matches to generate consensus forecast
• Confidence Calculator: Measures average distance of top matches to determine prediction reliability on 0-100% scale
• AI Grimoire Display: Table-based educational overlay rendering book-style content with chapter navigation
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🔥 Key Features
• Adjustable Pattern Length: Define how many bars constitute the current pattern for matching (5-100 bars)
• Configurable Search Depth: Control how far back the algorithm searches for historical matches (500-4,900 bars)
• Flexible k-Neighbors: Select how many closest matches inform the prediction (1-20 neighbors)
• Volume Toggle: Enable or disable volume pattern matching for different market conditions
• Volume Influence Slider: Fine-tune the weight given to volume vs. price patterns (0-100%)
• Ghost Bar Count: Adjust how many future bars the indicator projects (3-15 bars)
• Minimum Confidence Filter: Set threshold to hide low-confidence predictions
• Historical Match Display: Toggle visibility of colored boxes marking source patterns
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🎨 Visualization
• Blue Scanner Box: Highlights current pattern being analyzed labeled “AI INPUT (The Prompt)”
• Green Historical Boxes: Mark past patterns where price subsequently moved bullish
• Red Historical Boxes: Mark past patterns where price subsequently moved bearish
• Ghost Bars: Semi-transparent candles projecting into the future showing predicted price path
• Confidence Label: Displays prediction confidence percentage and number of matches used
• AI Grimoire Book: Leather-bound book overlay in top-right corner with navigable chapters
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📖 Usage Guidelines
Algorithm Settings
• Pattern Length — Default: 20 | Range: 5-100 | Controls how many recent bars define the pattern. Shorter values find more matches but less specific. Longer values find fewer but more precise matches.
• Search Depth — Default: 2000 | Range: 500-4900 | Determines how many historical bars to scan. Higher values find more potential matches but increase computation time.
• k-Neighbors — Default: 5 | Range: 1-20 | Number of closest matches to use for prediction. Higher values smooth predictions but may dilute strong signals.
• Ghost Bar Count — Default: 5 | Range: 3-15 | How many future bars to project. Shorter horizons are typically more reliable.
• Use Volume Matching — Default: Off | When enabled, patterns must match on both price AND volume characteristics.
• Volume Influence — Default: 30% | Range: 0-100% | Weight given to volume pattern when volume matching is enabled.
Visualization Settings
• Bullish/Bearish Match Colors — Customize colors for historical match boxes based on outcome direction.
• Min Confidence % — Default: 60 | Predictions below this threshold will not display.
• Show Historical Matches — Default: On | Toggle visibility of source pattern boxes on chart.
Education Settings
• Select Chapter — Navigate through AI Grimoire chapters or keep book closed for clean chart view.
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✅ Best Use Cases
• Learning how k-Nearest Neighbors algorithm functions in a trading context
• Understanding the relationship between historical patterns and forward predictions
• Identifying when current market conditions resemble past scenarios
• Supplementing discretionary analysis with pattern-based confluence
• Teaching others machine learning concepts through visual demonstration
• Validating whether volume confirms price pattern formations
• Building intuition for what AI “sees” when analyzing charts
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⚠️ Limitations
• Past pattern similarity does not guarantee future outcome similarity
• Requires sufficient historical data (minimum 500+ bars) to function properly
• Computation-intensive on lower timeframes with maximum search depth
• Cannot predict truly novel “black swan” events not represented in historical data
• Volume matching less effective on assets with inconsistent volume reporting
• Predictions become less reliable as forecast horizon extends further out
• Educational overlay may obstruct chart view on smaller screens
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💡 What Makes This Unique
• Full Transparency: Unlike black-box AI tools, every step of the algorithm is visualized on your chart
• Integrated Education: The AI Grimoire teaches machine learning concepts without leaving TradingView
• Theory Meets Practice: See exactly which historical patterns inform each prediction
• Honest Uncertainty: Confidence scoring and opacity fading acknowledge when the AI “doesn’t know”
• Dual-Mode Analysis: Optional volume weighting adds institutional-quality analysis dimension
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🔬 How It Works
1. Pattern Capture: On each bar, the indicator captures the most recent price changes as logarithmic returns, creating a normalized “fingerprint” of current market behavior. If volume matching is enabled, volume changes are captured similarly.
2. Historical Search: The algorithm iterates through up to 2,000 historical bars, calculating the Euclidean distance between the current pattern fingerprint and each historical pattern. Distance combines price similarity and optional volume similarity based on weight settings.
3. Neighbor Selection: All historical patterns are ranked by similarity (lowest distance = most similar). The k-closest matches are selected as the “ensemble council” that will inform the prediction.
4. Confidence Calculation: Average distance of top-k matches determines confidence. Tighter clustering of similar patterns yields higher confidence scores, while scattered or distant matches produce lower confidence.
5. Prediction Generation: Future returns from each historical match (what happened AFTER those patterns) are averaged together. This ensemble average is applied to current price to generate ghost bar projections.
6. Visualization: Historical match locations are marked with colored boxes (green for bullish outcomes, red for bearish). Ghost bars render with opacity tied to confidence level—higher confidence means more solid bars.
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💡 Note:
This indicator is designed primarily for educational purposes —to help traders understand how AI pattern recognition algorithms function. While the predictions can supplement your analysis, they should never be used as the sole basis for trading decisions. The AI Grimoire chapters explain key concepts including why AI “hallucinates” during unprecedented market events. Always combine with proper risk management and additional confirmation.
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Trader HQ - Multi Time Frame EMA🔷 Indicator Title
MTF 200 EMA Pro — Triple Timeframe Trend Filter
🔷 Short Description (Tagline)
A professional multi-timeframe 200 EMA framework that overlays up to three higher and lower timeframe trend filters on a single chart for superior market alignment and trade confirmation.
🔷 Full Description (Paste This in TradingView)
📈 MTF 200 EMA Pro — Triple Timeframe Trend Filter
MTF 200 EMA Pro is a professional-grade multi-timeframe trend analysis tool designed to help traders identify high-probability directional bias across multiple timeframes.
This indicator allows you to overlay up to three independent 200-period Exponential Moving Averages from different timeframes onto one chart, providing instant insight into higher, medium, and lower timeframe trend alignment.
By stacking multiple 200 EMAs, traders can eliminate low-quality setups, avoid countertrend trades, and operate in harmony with dominant market structure.
🔧 Key Features
✅ Up to 3 independent 200 EMAs
✅ Individual timeframe selection per EMA
✅ Clean overlay on any chart
✅ Adjustable display per line
✅ Real-time multi-timeframe calculations
✅ Works on all markets and sessions
🎯 How to Use
This indicator is designed as a primary trend filter.
Example configuration:
• EMA 1 → Lower timeframe (Execution)
• EMA 2 → Medium timeframe (Momentum)
• EMA 3 → Higher timeframe (Structure)
Bullish Bias Example
Price above all 200 EMAs
Lower EMA above higher EMA
Pullbacks hold above structure
Bearish Bias Example
Price below all 200 EMAs
Lower EMA below higher EMA
Rejections at structure
When EMAs are aligned, trend probability increases.
📊 Best Use Cases
✔ Futures Trading
✔ Options & Equity Trading
✔ Forex & Crypto
✔ Prop Firm Evaluations
✔ Trend-Following Systems
✔ Momentum Strategies
⚠️ Risk Disclaimer
This indicator is a trend visualization and filtering tool only. It does not provide financial advice. Always apply proper risk management and confirm signals with your own strategy.
Advanced Scalping Navigator free by S B PrasadAdvanced Scalping Navigator Lite • Features
by S B Prasad
Advanced Scalping Navigator Lite is a powerful multi-factor scalping and intraday indicator designed to generate high-probability BUY and SELL signals using trend, momentum, volatility, and smart-money concepts.
This FREE version retains the complete core signal engine while limiting certain premium visual and channel features.
🚀 Core Features (Included in Lite Version)
✅ High-Accuracy BUY & SELL Signals
Signals are generated only when multiple technical and structural conditions align, including:
ATR-based trend direction & strength
EMA trend bias
MACD momentum
RSI confirmation
VWAP institutional bias
Ribbon & Hull MA filters
Higher-timeframe (HTF) trend confirmation
Smart-money liquidity sweep validation
Supply & demand zone filtering
Session-based trading filter
✅ Smart-Money Liquidity Sweeps
Detects equal highs/lows and stop-hunt behavior to identify institutional accumulation or distribution before issuing signals.
✅ Supply & Demand Zones
Automatically plots demand and supply zones using pivot-based market structure to improve trade location quality.
✅ Higher-Timeframe (HTF) Confirmation
Filters trades in the direction of the dominant higher-timeframe trend for better probability alignment.
✅ Session Filter (Market Timing Control)
Limits signals to selected market sessions:
Indian Market
London Session
New York Session
✅ Multi-Factor Confirmation Engine
Combines EMA, MACD, RSI, VWAP, Ribbon, and HMA into a weighted factor score to avoid low-quality trades.
✅ Real-Time Dashboard Panel
On-chart dashboard displaying:
Trend direction
Trend strength
Factor alignment score
HTF bias
Zone context
Signal state
Session status
🔒 Features Limited or Disabled in Lite Version
The following premium visuals and channels are not available in the FREE version:
❌ ATR trendline (dynamic support / resistance)
❌ ATR trendline strength coloring
❌ Full ATR channel (upper / average / lower)
❌ Channel fills & premium visual layers
❌ Pivot ATR trend channel visuals
❌ Enhanced trend-zone background fills
🎯 Best For
Intraday traders
Scalpers
Index & stock traders
Futures and options traders
Traders who prefer clean charts with powerful signals
📣 Join Our Telegram (Updates & PRO Access)
👉 Telegram: t.me
💬 For updates, support & PRO version access, join our Telegram.
⚠️ Disclaimer
This indicator is for educational and informational purposes only.
It does not constitute financial advice.
Trading involves risk. Always use proper risk management.
Scalp Breakout Predictor Pro - by Herman Sangivera (Papua)Scalp Breakout Predictor Pro by Herman Sangivera ( Papuan Trader )
Overview
The Scalp Breakout Predictor Pro is a high-performance technical indicator designed for scalpers and day traders who thrive on market volatility. This tool specializes in identifying "Squeeze" phases—periods where the market is consolidating sideways—and predicts the likely direction of the upcoming breakout using underlying momentum accumulation.
How It Works
The indicator combines three core mathematical concepts to ensure "Safe but Fast" entries:
Squeeze Detection (BB vs. KC): It monitors the relationship between Bollinger Bands and Keltner Channels. When Bollinger Bands contract inside the Keltner Channels, the market is in a "Squeeze" (represented by the gray background). This indicates that energy is being coiled for a massive move.
Momentum Accumulation (Pre-Signal): While the price is still moving sideways, the script analyzes linear regression momentum.
PRE-BULL: Momentum is building upwards despite price being flat.
PRE-BEAR: Momentum is fading downwards despite price being flat.
Breakout Confirmation: An entry signal is only triggered when the Squeeze "fires" (the price breaks out of the bands), ensuring you don't get stuck in a dead market for too long.
Key Features
Real-time Prediction Labels: Get early warnings (PRE-BULL / PRE-BEAR) to prepare for the trade before it happens.
Dynamic TP/SL Lines: Automatically calculates Take Profit and Stop Loss levels based on the Average True Range (ATR), adapting to the current market's "breath."
On-Screen Dashboard: A sleek table in the top-right corner displays the current market phase (Squeeze vs. Volatile), the predicted next move, and the current ATR value.
Pine Script V6 Optimized: Built using the latest version of TradingView’s coding language for maximum speed and compatibility.
Trading Rules
Preparation: When you see a Gray Background, the market is sideways. Watch the Dashboard for the "Potential" direction.
Anticipation: If a PRE-BULL or PRE-BEAR label appears, get ready to enter.
Execution: Enter the trade when the ENTRY BUY (Lime Triangle) or ENTRY SELL (Red Triangle) signal appears.
Exit: Follow the Green Line for Take Profit and the Red Line for Stop Loss.
Technical Settings
HMA Length: Adjusts the sensitivity of the trend filter (Hull Moving Average).
TP/SL Multipliers: Allows you to customize your Risk:Reward ratio based on ATR volatility.
Squeeze Length: Determines the lookback period for consolidation detection.
Disclaimer: Scalping involves high risk. Always test this indicator on a demo account before using it with live capital.
Full Dashboard V21 - Time Left Color LogicTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
--can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
Risk & Lot Calculator PanelFXMANS Risk & Lot Panel
Smart Risk Management Tool for TradingView
- Overview
FXMANS Risk & Lot Panel is a lightweight and professional risk management tool designed to help traders calculate position size (lot) and take-profit levels directly on the chart, without cluttering the screen.
The panel is displayed as a minimal table in the top-right corner of the chart and automatically adapts to the currently opened symbol.
This tool focuses on clarity, precision, and usability, making it suitable for scalpers, day traders, and swing traders.
- Key Features
Automatic Direction Detection
The script can automatically determine BUY or SELL direction based on:
Entry Price
Stop Loss Price
Logic:
Stop Loss below Entry → BUY
Stop Loss above Entry → SELL
Manual override is available if auto direction is disabled.
Risk-Based Lot Size Calculation
Calculates position size based on:
User-defined risk amount in USD
Distance between Entry and Stop Loss
Symbol-specific tick size and point value
Ensures consistent risk management across all markets.
Automatic Take Profit (RR Based)
Take Profit is calculated automatically using a predefined Risk / Reward (RR) ratio.
Supports both BUY and SELL scenarios.
- Symbol-Aware Calculation
Uses TradingView’s built-in symbol properties:
syminfo.mintick
syminfo.pointvalue
Works correctly on:
Forex
Indices
Metals
Crypto
- Minimal & Non-Intrusive UI
Small, fixed panel located at the top-right corner
Designed to avoid covering price action
Clean FXMANS-style color palette
- Safe Panel Size Control
Panel size can be adjusted from settings:
Small
Medium
Large
Size changes are handled without modifying layout geometry, preventing UI bugs.
- How It Works
Enter your Entry Price and Stop Loss Price
Define your Risk Amount ($)
Set your desired Risk / Reward ratio
The script automatically calculates:
Trade Direction (BUY / SELL)
Lot Size
Take Profit Level
All results are displayed instantly in the panel
- Example Use Case
Risk: $100
Entry: 1.0850
Stop Loss: 1.0800
RR: 2.0
- The panel will automatically display:
Direction: BUY
Lot Size adjusted to risk exactly $100
Take Profit at 2R
- Important Notes
Entry and Stop Loss prices must be valid (greater than zero).
The tool does not place trades automatically.
Calculations are for position sizing only and may vary slightly depending on broker specifications.
- Disclaimer
This script is intended for educational and analytical purposes only.
Trading involves risk, and users are responsible for their own trading decisions.
- Ideal For
Traders who follow strict risk management rules
Forex, crypto, and index traders
Scalpers and intraday traders
Anyone who wants clean and fast position sizing on TradingView
Full Dashboard V20 - Pro PA & Stoch OVB/OVS StatusTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
--can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
Table - Trend Multi TF + RSI + Stoch ByBankTHTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
---- can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
MVRV Ratio Indicator [captainua]MVRV Ratio Indicator - Market Value to Realized Value Ratio
Overview
This professional indicator calculates and visualizes the MVRV (Market Value to Realized Value) ratio (raw, non-Z-score) with optional MVRV-Z overlay, comparing current market capitalization to realized capitalization to help identify potential market tops and bottoms for cryptocurrency markets.
Unlike MVRV-Z which normalizes the ratio using standard deviation (creating a Z-score), the raw MVRV ratio provides direct comparison between market cap and realized cap. This indicator enhances the raw ratio with historical percentile bands, percentile rank calculation, divergence detection, historical event logging, dynamic color gradients, enhanced visualization options, optional MVRV-Z comparison, and NEW advanced metrics including Risk Score, MVRV Momentum, Time in Zone tracking, and Price Target calculations.
NEW Features in This Version:
• Risk Score (0-100): Composite indicator based on MVRV level and percentile rank for instant risk assessment
• MVRV Momentum: Rate of change indicator showing trend direction (↑ Increasing, ↓ Decreasing, → Flat)
• Time in Zone: Tracks how long MVRV has been in the current zone (top/bottom/neutral) in bars
• Price Targets: Calculates price levels at key MVRV thresholds (fair value, top, bottom)
• Input Validation: Warns about invalid parameter combinations (e.g., extreme thresholds out of order)
• Multiple Smoothing Options: SMA, EMA, WMA, RMA for noise reduction
• Performance Optimized: Cached request.security() calls, ta.percentrank() for efficiency
• Human-Readable Timestamps: Event log now shows dates (YYYY-MM-DD) instead of bar indices
Core Calculations
MVRV Ratio Calculation:
The script calculates MVRV ratio using the standard formula: MVRV Ratio = Market Cap / Realized Cap. This formula provides a direct ratio without normalization, showing how many times the current market cap exceeds (or falls below) the realized cap.
Market Capitalization (Market Cap): The total market value of all coins in circulation, calculated as current price × circulating supply. This represents the market's current valuation of the asset.
Realized Capitalization (Realized Cap): The sum of the value of each coin when it last moved on-chain, representing the average cost basis of all coins.
Raw Ratio Interpretation:
- Ratio > 3.5: Extreme overvaluation (market cap significantly above realized cap)
- Ratio 2.5-3.5: Moderate overvaluation
- Ratio 1.0-2.5: Fair value to moderate overvaluation
- Ratio 0.8-1.0: Fair value to moderate undervaluation
- Ratio < 0.8: Undervaluation (market cap close to or below realized cap)
Risk Score (NEW):
Composite risk indicator ranging from 0-100:
- 80-100: Very High Risk (extreme overvaluation)
- 60-80: High Risk (overvaluation)
- 40-60: Moderate Risk (fair value range)
- 20-40: Low Risk (undervaluation)
- 0-20: Very Low Risk (extreme undervaluation)
The risk score uses percentile rank when available, or normalizes MVRV ratio to the 0-100 scale based on configured thresholds.
MVRV Momentum (NEW):
Rate of change indicator showing trend direction:
- ↑ Increasing: MVRV ratio rising (momentum > 0.01)
- ↓ Decreasing: MVRV ratio falling (momentum < -0.01)
- → Flat: MVRV ratio stable
- Displays percentage change over configurable period (default: 14 bars)
Time in Zone (NEW):
Tracks duration in current zone:
- Top Zone: Bars spent above top threshold (3.5)
- Bottom Zone: Bars spent below bottom threshold (0.8)
- Neutral Zone: Bars spent between thresholds
- Resets when zone changes
- Helps identify prolonged extreme conditions
Price Targets (NEW):
Calculates price levels at key MVRV thresholds:
- Price @ Fair Value: Price when MVRV = 1.0
- Price @ Top Threshold: Price when MVRV = 3.5
- Price @ Bottom Threshold: Price when MVRV = 0.8
- Based on estimated realized price (current price / MVRV ratio)
Data Source Selection:
The indicator supports multiple data source options for maximum flexibility:
Glassnode (Recommended):
- Uses Glassnode Market Cap data
- Calculates MVRV from Market Cap / Realized Cap
- Symbol format: GLASSNODE:{TOKEN}_MARKETCAP
- Requires Glassnode data subscription
- Also requires CoinMetrics for Realized Cap
- Best for comprehensive analysis with MVRV-Z comparison
IntoTheBlock:
- Direct MVRV ratio data from IntoTheBlock
- Simplest option - no calculations required
- Works for BTC and other supported tokens
- Symbol format: INTOTHEBLOCK:{TOKEN}_MVRV
- Requires IntoTheBlock data subscription on TradingView
Historical Percentile Bands:
The indicator calculates rolling percentile bands over a configurable period (default: 500 bars):
- 5th Percentile: Very low historical values (extreme undervaluation range)
- 25th Percentile: Lower quartile (undervaluation range)
- 50th Percentile: Median (fair value center)
- 75th Percentile: Upper quartile (overvaluation range)
- 95th Percentile: Very high historical values (extreme overvaluation range)
Percentile bands use ta.percentile_nearest_rank() for efficient calculation.
Percentile Rank:
Percentile rank shows where the current MVRV ratio sits in the historical distribution (0-100%):
- 0-25%: Bottom quartile (undervaluation)
- 25-50%: Lower half (moderate undervaluation to fair value)
- 50-75%: Upper half (fair value to moderate overvaluation)
- 75-100%: Top quartile (overvaluation)
Now uses efficient ta.percentrank() instead of array-based calculation.
Input Validation (NEW):
The indicator validates input parameters and displays warnings for:
- Extreme High Threshold should be > Top Threshold
- Extreme Low Threshold should be < Bottom Threshold
- Min Lookback Range must be < Max Lookback Range
- Top Threshold should be > Moderate Overvalued
- Moderate Overvalued should be > Fair Value
- Fair Value should be > Bottom Threshold
- Rapid Increase Threshold should be > 0
- Rapid Decrease Threshold should be < 0
Smoothing Options (Enhanced):
Multiple smoothing types available:
- SMA: Simple Moving Average (equal weight)
- EMA: Exponential Moving Average (more weight to recent)
- WMA: Weighted Moving Average (linear weight)
- RMA: Running Moving Average (Wilder's smoothing)
Reference Levels
Overvalued (Potential Top) - 3.5:
The 3.5 level indicates potentially extreme overvaluation. When MVRV ratio exceeds this threshold:
- Market cap is significantly above realized cap
- Potential selling opportunities for profit-taking
- Risk of market corrections or reversals
- Risk Score typically >80 (Very High Risk)
Moderately Overvalued - 2.5:
The 2.5 level indicates moderate overvaluation:
- Market cap is above realized cap but not extreme
- Caution warranted but not necessarily sell signal
- Risk Score typically 60-80 (High Risk)
Fair Value - 1.0:
The 1.0 level indicates fair valuation:
- Market cap equals realized cap
- Balanced market conditions
- Risk Score typically 40-60 (Moderate Risk)
Undervalued (Potential Bottom) - 0.8:
The 0.8 level indicates potentially undervalued conditions:
- Market cap is close to or below realized cap
- Potential buying opportunities for accumulation
- Risk Score typically <40 (Low Risk)
Visual Features
MVRV Ratio Line:
The main indicator line displays the calculated MVRV ratio with dynamic color gradient:
- Bright Red: Extreme overvaluation (ratio ≥ top threshold + 0.5)
- Orange: High overvaluation (ratio ≥ top threshold)
- Cornflower Blue: Neutral/Fair value (around fair value level)
- Deep Sky Blue: Low/Undervaluation (ratio ≤ bottom threshold)
- Bright Green: Extreme undervaluation (ratio ≤ bottom threshold - 0.1)
Can also be displayed as histogram/bar chart.
Historical Percentile Bands:
Five percentile bands with optional fills:
- 5th Percentile (Blue): Very low historical range
- 25th Percentile (Blue): Lower quartile
- 50th Percentile (Gray): Historical median
- 75th Percentile (Orange): Upper quartile
- 95th Percentile (Red): Very high historical range
Reference Lines:
Horizontal reference lines at key levels (all customizable):
- Top Threshold (default 3.5): Purple/violet
- Moderate Overvalued (default 2.5): Orange
- Fair Value (1.0): Gray
- Bottom Threshold (default 0.8): Blue
Background Highlights:
Optional background color highlights:
- High Zone (Maroon/Red): MVRV ratio ≥ top threshold
- Low Zone (Green): MVRV ratio ≤ bottom threshold
Divergence Detection:
Advanced divergence detection between price and MVRV ratio:
- Regular Bullish Divergence: Price lower low + MVRV higher low
- Regular Bearish Divergence: Price higher high + MVRV lower high
- Hidden Bullish Divergence: Price higher low + MVRV lower low
- Hidden Bearish Divergence: Price lower high + MVRV higher high
- Visual markers with icons (🐂/🐻) and connecting lines
Historical Event Log (Enhanced):
Comprehensive event tracking:
- Tracks zone entries/exits, extreme values, cross events
- Now displays human-readable dates (YYYY-MM-DD) instead of bar indices
- Color-coded events (red for top/high, green for bottom/low)
- Configurable log size (5-50 events)
Information Table (Enhanced):
Comprehensive on-chart table with NEW metrics:
Current Values:
- MVRV Ratio: Current ratio value
- Percentile Rank: Position in historical distribution (0-100%)
- Risk Score (NEW): Composite risk indicator (0-100) with risk level
- Market Status: Current market condition
- Signal: Trading signal (Strong Buy/Buy/Hold/Sell/Strong Sell)
- MVRV Momentum (NEW): Trend direction with percentage change
- Time in Zone (NEW): Current zone and duration in bars
Price Information (Enhanced):
- Current Price: Current market price
- Est. Realized Price: Estimated realized price
- Price @ Fair Value (NEW): Price when MVRV = 1.0
- Price @ Top Threshold (NEW): Price when MVRV = 3.5
- Price @ Bottom Threshold (NEW): Price when MVRV = 0.8
Other Metrics:
- Percentile Bands: Range from 5th to 95th percentile
- MVRV-Z Score: Z-score value (when comparison enabled)
- Change (1D/1W/1M): Ratio change over timeframes
- To Top/Bottom: Percentage distance to key levels
- Historical Range: Percentage below ATH / above ATL
- 30D Volatility: Standard deviation
Historical Event Log:
- Recent events with dates and values
- Color-coded for quick identification
Alert System
Comprehensive alerting capabilities:
Zone Alerts:
- Top Zone Entry/Exit
- Bottom Zone Entry/Exit
Cross Alerts:
- Cross Above/Below Top Threshold
- Cross Above/Below Fair Value (1.0)
Extreme Value Alerts:
- Extreme High (configurable, default: 4.5)
- Extreme Low (configurable, default: 0.7)
Rate of Change Alerts:
- Rapid Increase/Decrease
Divergence Alerts:
- Bullish/Bearish Divergence
- Hidden Bullish/Bearish Divergence
All alerts support cooldown to prevent spam.
Usage Instructions
Getting Started:
1. Select data source (Glassnode recommended)
2. Enable Risk Score for composite risk assessment (0-100)
3. Enable MVRV Momentum to track trend direction
4. Enable Time in Zone to see zone duration
5. Enable Price Targets to see price levels at key thresholds
6. Use weekly timeframe for cleaner signals
Risk-Based Position Sizing:
Use Risk Score to guide position sizing:
- Risk Score >80 (Very High Risk): Reduce/exit positions
- Risk Score 60-80 (High Risk): Smaller positions, caution
- Risk Score 40-60 (Moderate Risk): Normal positions
- Risk Score 20-40 (Low Risk): Larger positions opportunity
- Risk Score <20 (Very Low Risk): Strong accumulation zone
Momentum-Based Analysis:
Use MVRV Momentum for trend confirmation:
- ↑ Increasing + High MVRV: Late bull market, caution
- ↑ Increasing + Low MVRV: Recovery phase, bullish
- ↓ Decreasing + High MVRV: Distribution, potential top
- ↓ Decreasing + Low MVRV: Capitulation, accumulation opportunity
Zone Duration Analysis:
Use Time in Zone for context:
- Extended time in Top Zone: Late cycle, increased reversal risk
- Extended time in Bottom Zone: Accumulation opportunity
- Quick zone transitions: Higher volatility regime
Price Target Usage:
Use Price Targets for planning:
- Price @ Fair Value: Natural equilibrium level
- Price @ Top Threshold: Potential distribution target
- Price @ Bottom Threshold: Potential accumulation target
Technical Specifications
- Pine Script Version: v6
- Indicator Type: Non-overlay (displays in separate panel)
- Repainting Behavior: Minimal - calculations based on confirmed bar data
- Performance: Optimized with cached request.security() calls and ta.percentrank()
- Input Validation: Validates parameter combinations with warnings
- Compatibility: Works on all timeframes (data sources provide daily resolution)
- Edge Case Handling: Zero-division protection, NA value handling, boundary checks
Performance Optimizations:
- Cached request.security() calls for Market Cap, Realized Cap, and IntoTheBlock data
- Efficient ta.percentrank() replaces array-based percentile calculation
- Consolidated duplicate code (color functions, state tracking)
- Single-line ternary expressions for Pine Script compatibility
Constants:
- MAX_HISTORY_BARS = 5000 (TradingView's limit)
- PERCENTILE_EXTREME_HIGH = 90.0
- PERCENTILE_HIGH = 75.0
- PERCENTILE_MID = 50.0
- PERCENTILE_LOW = 25.0
- MIN_PERCENTILE_SAMPLES = 10
- DEFAULT_VOLATILITY_HIGH = 0.1
Known Limitations
- Data availability: Requires valid data subscription (IntoTheBlock, Glassnode, or CoinMetrics)
- Token support: Works with tokens supported by the selected data source
- Historical data: Percentile calculations require sufficient history (200+ bars recommended)
- Timeframe: Always uses daily resolution data from providers; works on all chart timeframes
- History limit: All lookback periods capped at 5000 bars
Changelog
Latest Version:
- Added Risk Score (0-100) composite indicator
- Added MVRV Momentum with trend direction
- Added Time in Zone tracking
- Added Price Target calculations
- Added Input Validation with warnings
- Added multiple smoothing options (SMA, EMA, WMA, RMA)
- Improved performance with cached security calls
- Replaced array-based percentile with ta.percentrank()
- Human-readable timestamps in event log (YYYY-MM-DD)
- Fixed hline() conditional value bug
- Consolidated duplicate code
- Updated indicator name for clarity
For detailed usage instructions, see the script comments.






















