Anhnga4.0 - Filter ToggleINPUTS:
1.5 0.8 (OR 1.6 0.5/0.6)
BE=0.45
1
MAs: 35 135
7
This Pine Script code defines a trading strategy named **"Anhnga4.0 - Filter Toggle"**. It is a trend-following strategy that uses momentum oscillators and moving averages to identify entries, while featuring a specific "Overextension Filter" to avoid buying at the top or selling at the bottom.
Here is a breakdown of how the script works:
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## 1. Core Trading Logic (The Entry)
The strategy looks for a "perfect storm" of three factors before entering a trade:
* **Momentum (WaveTrend):** It uses the WaveTrend oscillator (`wt1` and `wt2`).
* **Long:** A bullish crossover happens while the oscillator is below the zero line (oversold).
* **Short:** A bearish crossunder happens while the oscillator is above the zero line (overbought).
* **Trend Confirmation:** The price must be on the "correct" side of three different lines: the 20-period Moving Average (BB Basis), the 50-period SMA, and the 200-period SMA.
* **The Window:** You don't have to enter exactly on the cross. The `Signal Window` allows the trade to trigger up to 4 bars after the momentum cross, provided the trend filters align.
## 2. The "Overextension" Filter
This is a unique feature of this script. It calculates the distance between the current price and the **50-period Moving Average**.
* If the price is too far away from the MA (defined by the **ATR Limit**), the script assumes the move is "exhausted."
* If `Enable Overextension Filter?` is on, the strategy will skip these trades to avoid "chasing the pump."
* **Visual Cue:** The chart background turns **purple** when the price is considered overextended.
---
## 3. Risk Management & Exit Strategy
The script manages trades dynamically using Bollinger Bands and Risk:Reward ratios:
| Feature | Description |
| --- | --- |
| **Stop Loss (SL)** | Set at the **Lower Bollinger Band** for Longs and **Upper Band** for Shorts. |
| **Take Profit (TP)** | Calculated based on your **RR Ratio** (default is 2.0). If your risk is $10, it sets the target at $20 profit. |
| **Breakeven** | A "protection" feature. Once the price moves in your favor by a certain amount (the `Breakeven Trigger`), the script moves the Stop Loss to your entry price to ensure a "risk-free" trade. |
---
## 4. Visual Elements on the Chart
* **Green Lines:** Your target price (TP).
* **Red Lines:** Your initial Stop Loss.
* **Yellow Lines:** Indicates the Stop Loss has been moved to **Breakeven**.
* **Purple Background:** High alert—price is overextended; trades are likely being filtered out.
---
## Summary of Settings
* **BB Multiplier:** Controls how wide your initial stop loss is.
* **ATR Limit:** Controls how sensitive the "Overextension" filter is (higher = more trades allowed; lower = stricter filtering).
* **Breakeven Trigger:** Set to 1.0 by default, meaning once you are "1R" (profit equals initial risk) in profit, the stop moves to entry.
Bandas e Canais
OiDeer (Session Map+Open+VWAP+PrevDay+VIX bands)Overview
Intraday context pack for NSE symbols that overlays Prev Close (official 15:30), Prev Day High/Low, Daily Open, 1st Candle Open, VWAP, an optional centered 100-point grid, and Expected High/Low bands derived from India VIX (Open).
It also computes remaining points to reach the expected bands for today (live) and for every historical session.
What it plots
Prev Close (yesterday 15:30 cash close) extended across today.
Prev Day High/Low extended across today.
Daily Open and Intraday 1st Candle Open (today only).
VWAP (session).
Expected High/Low from India VIX(Open) with optional √time intraday scaling.
Remaining points labels:
Today: points from today’s High → Exp High and today’s Low → Exp Low (also shown in Data Window).
Historical: for each completed day, points that were remaining from that day’s High/Low to its expected High/Low.
100-point centered grid (…00 levels by default; shift via Base Offset).
All labels are anchored at the session start bar (arrow on day boundary) with the label box rendered to the left so current candles stay unobstructed.
VIX math (expected move)
Daily σ: (VIX_open / 100) / √252.
Intraday option (today only): multiply by √(elapsed_minutes / 375).
Expected % move: k * daily_sigma * (√fraction if enabled).
Bands around reference S (choose Open, Prev Close, or Last):
ExpHigh = S + S * expected_pct
ExpLow = S - S * expected_pct
Historical sessions use that day’s VIX(Open) and reference S (no intraday scaling).
Inputs
Prev Close / PDH / PDL: show/hide, label toggles, colors, widths.
Daily/1st Candle Open, VWAP: show/hide; labels sit left of day start.
India VIX Bands: k (sigma), Reference Price (Open / Prev Close / Last), √time scaling toggle, colors, label toggles.
Remaining to Exp Bands: show labels, Clamp to 0 (no negatives), show in Data Window.
100-Point Grid: step, base offset, style, count above/below, color/width.
Label size control.
Data Window
Pts→Exp High (from Day High)
Pts→Exp Low (from Day Low)
Pts→Exp High (from Close)
Pts→Exp Low (from Close)
100pt lines ABOVE/BELOW (from current price)
Notes
Assumes NSE cash session 09:15–15:30 IST (375 min).
Prev Close uses official cash close at 15:30.
Designed for NSE symbols; India VIX source: NSE:INDIAVIX (Daily Open).
No alerts in this version.
Tips
Use k = 1.0 for ~1σ feel; try 1.5–2.0 for wider envelopes.
Open as reference is clean for intraday; Prev Close is gap-aware.
Turn on √time scaling if you prefer bands that widen through the day.
Disclaimer
For research and visualization only, not trading advice. Markets can exceed modeled ranges—use your own risk management.
BuyLow SellHigh Bands | ProjectSyndicate________________________________________
📊 BuyLow SellHigh (BLSH) Bands
Comprehensive Trading Guide – by ProjectSyndicate
________________________________________
🔰 1. Introduction
The BuyLow SellHigh (BLSH) Bands indicator is a powerful technical analysis tool designed for the TradingView platform. Works with any symbol. Gold/FX/indices/oil/crypto/stocks.
It provides traders with a clear, visual representation of:
• 📈 Overbought conditions
• 📉 Oversold conditions
This makes it easier to identify high-probability entry and exit points.
The indicator is built on:
• Dynamic price channels
• Fibonacci-based zones
• Color-coded market structure
💡 While the BLSH Bands can be used on Forex, Crypto, and Futures, this guide focuses on Gold (XAUUSD) using:
• M5
• M15
• M30 timeframes
________________________________________
🧠 2. Core Concepts
The BLSH Bands structure is created using two key components:
________________________________________
📐 Dynamic Price Bands
• Upper and lower bands are calculated using the highest high and lowest low
• Based on a user-defined lookback period (fiboPeriod)
• Reflects recent volatility and price range
This creates a self-adjusting channel that adapts to market conditions.
________________________________________
🧮 Fibonacci Zones
The space between the bands is divided into six Fibonacci-based zones:
• 0.786
• 0.618
• 0.500
• 0.382
• 0.214
⚠️ These are not traditional retracements — they are used to grade price extremity within the channel.
________________________________________
🎨 Color-Coded Zones Overview
Zone (Fib Level) Color Market Condition Interpretation
1.000 – 0.786 🔴 Red Extreme Overbought High reversal / pullback probability
0.786 – 0.618 🟠 Orange Overbought Selling pressure building
0.618 – 0.500 🟡 Yellow Mildly Overbought Bullish momentum weakening
0.500 – 0.382 🟢 Aqua Mildly Oversold Bearish momentum weakening
0.382 – 0.214 🔵 Deep Sky Blue Oversold Strong buying interest
0.214 – 0.000 🔷 Blue Extreme Oversold High bounce / reversal probability
🖤 Solid black separator lines ensure clean visual separation between zones for precise price location.
________________________________________
🪙 3. Trading Strategies for XAUUSD (Gold)
Gold’s volatility and respect for technical levels make it ideal for BLSH Bands strategies.
________________________________________
⚡ M5 Timeframe – Scalping Strategy
Designed for fast mean-reversion trades from extreme zones.
🟢 BUY Setup
• Price enters Extreme Oversold (Blue) zone
• Bullish confirmation candle appears:
o Hammer
o Bullish engulfing
• Enter BUY
🔴 SELL Setup
• Price enters Extreme Overbought (Red) zone
• Bearish confirmation candle appears:
o Shooting star
o Bearish engulfing
• Enter SELL
🎯 Take Profit:
• Median band (between Yellow & Aqua)
🛑 Stop Loss:
• Just outside the outer band
________________________________________
📆 M15 Timeframe – Day Trading Strategy
Balanced timeframe for higher-probability reversals.
🟢 BUY Setup
• Price enters Oversold (Blue / Deep Sky Blue)
• Strong bullish reversal candle closes back inside bands
• Enter BUY after close
🔴 SELL Setup
• Price enters Overbought (Red / Orange)
• Bearish reversal candle closes back inside bands
• Enter SELL after close
🎯 Take Profit (Multi-Target):
1. Median band
2. Opposite extreme band
🛑 Stop Loss:
• Beyond high/low of confirmation candle
________________________________________
🔄 M30 Timeframe – Swing Trading Strategy
Used for identifying major swing points.
🔍 Trend Filter
• Use 100 or 200 EMA
• Trade only in trend direction
🟢 Uptrend
• Buy pullbacks into Oversold zones
🔴 Downtrend
• Sell rallies into Overbought zones
📉 Confirmation:
• Band rejection
• RSI or MACD divergence
🎯 Take Profit:
• Previous structure levels
• Opposite band extreme
🛑 Stop Loss:
• Below / above recent swing high or low
________________________________________
🚨 4. Alerts System
Alerts are disabled by default to keep charts clean.
✅ How to Enable
• Open indicator settings
• Check “Enable Alerts”
________________________________________
🔔 Available Alerts
🔴 Overbought Alert
• Trigger: Price crosses above 0.786
• Message:
🔴 SELL SIGNAL: Price entered Overbought Zone – Consider selling or taking profits
🟢 Oversold Alert
• Trigger: Price crosses below 0.214
• Message:
🟢 BUY SIGNAL: Price entered Oversold Zone – Consider buying or entering long
________________________________________
⏱ Alert Spacing Logic
• Default: 20/50 bars
• Prevents repeated alerts in choppy markets
• Filters for higher-quality signals
________________________________________
⚙️ 5. Customization Settings
Adjust the indicator in the Settings panel:
🔧 Core Inputs
• fiboPeriod → Band sensitivity
• extremes → Price source (High/Low or Close)
🔔 Alert Controls
• Enable / disable alerts
• Separate control for overbought & oversold
• Alert spacing (bars)
________________________________________
⭐ How You Can Support ProjectSyndicate (3 Steps)
1. ✅ Click “Add to Favorites” to save this script to your TradingView Favorites
2. 🔎 Check out our other scripts to complete your SMC toolkit
3. 👤 Follow ProjectSyndicate for the latest updates, upgrades, and new releases
________________________________________
⚠️ 6. Disclaimer
Trading involves significant risk and may not be suitable for all traders.
This indicator is a decision-support tool, not a standalone trading system.
Always apply:
• Proper risk management
• Additional confirmations
• Sound trading discipline
📉 Past performance does not guarantee future results.
Gold 2-Week Futures LevelsYou may change the color at bottom of script and i used 1h to mark out my levels, you may change it to fit your time frame.
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex
🔍 Overview
DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation.
This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed.
It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency.
🧠 Strategy Logic (How It Works)
DkSPro follows a sequential decision process, not a single-indicator signal:
Trend Bias (EMA Structure)
A fast and slow EMA define the directional bias.
Long trades are only allowed during bullish EMA alignment.
Short trades are only allowed during bearish EMA alignment.
This prevents counter-trend and ranging-market entries.
Market Structure & Breakout Validation
The strategy identifies recent swing highs and lows.
Trades are triggered only after a confirmed breakout of structure, not during consolidation.
This avoids early entries and false momentum moves.
Volume Confirmation
Volume must exceed its moving average by a defined multiplier.
This ensures participation and filters out low-liquidity breakouts.
Volume thresholds adapt depending on the selected trading mode.
Momentum Confirmation (RSI)
RSI is used strictly as a momentum filter, not as a standalone signal.
It confirms that price movement aligns with the breakout direction.
Risk Management (Mandatory)
Every position includes a predefined Stop Loss and Take Profit.
Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits.
All conditions must align simultaneously; otherwise, no trade is executed.
⚙️ Trading Modes
SAFE Mode
Stronger volume and RSI thresholds
Fewer trades, higher selectivity
Designed for risk control and consistency
AGGRESSIVE Mode
Slightly relaxed filters
Higher trade frequency during strong momentum
Intended for experienced users only
📊 Markets & Assets
This strategy has been actively used and tested on:
🟢 Crypto (Binance / Binance.US)
SOL-USDT
XRP-USDT
Other high-liquidity pairs (BTC, ETH)
Crypto mode benefits from stronger volume confirmation to adapt to higher volatility.
🔵 Forex
Major pairs such as EURUSD, GBPUSD, USDJPY
Optimized for liquid markets with lower relative volume
The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class.
⏱ Recommended Timeframes
Crypto: 5m – 15m
Forex: 15m – 1H
Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior.
🧪 Backtesting & Settings Transparency
Default strategy properties are intentionally conservative to reflect realistic conditions:
Initial capital: $20,000
Position size: 2% of equity
Commission: 0.08%
Slippage: 1 tick
Fixed Stop Loss and Take Profit on every trade
Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades).
📈 Originality & Usefulness
DkSPro is not a simple indicator mashup.
Each component serves a specific role in a layered confirmation system:
EMAs define direction
Structure defines timing
Volume validates participation
RSI confirms momentum
Risk management controls exposure
Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator.
⚠️ Important Notes
This script is an analysis and execution tool, not financial advice.
Market conditions change, and no strategy performs well in all environments.
Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance.
🧩 Version Notice
This publication represents a consolidated and refined version of an internal experimental script.
No parallel or duplicate versions are intended.
All future improvements will be released exclusively using TradingView’s Update feature.
🇪🇸 Descripción en Español (Resumen)
DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo.
Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar.
Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
MACD 12-26-9 with Slope, Convergence & Divergence1. Core Indicator: MACD (12-26-9)
The script uses the standard MACD:
Fast EMA: 12
Slow EMA: 26
Signal EMA: 9
It plots:
MACD Line → short-term vs long-term momentum
Signal Line → smoothed MACD
Histogram → distance between MACD and Signal
2. Histogram Slope (Momentum Acceleration)
What it is
The slope measures how fast the MACD histogram is changing.
histSlope = hist - hist
What it tells you
Positive slope → momentum accelerating
Negative slope → momentum slowing
Slope flip → early momentum shift (often before MACD cross)
Why it matters
MACD crosses are lagging.
Histogram slope gives early warning of momentum changes.
3. Convergence & Divergence (MACD vs Signal)
How it’s calculated
The script measures the distance between the MACD and Signal lines:
distance = abs(macdLine - signalLine)
Convergence → distance is shrinking
Divergence → distance is expanding
Interpretation
Convergence = compression / energy building
Divergence = expansion / trend strength or exhaustion
This is not price divergence, but internal momentum structure.
4. MACD Perimeter Threshold (Momentum Filter)
What it is
Horizontal bands above and below zero that define a “noise zone”.
Inside perimeter → weak / choppy momentum
Outside perimeter → strong momentum
Why it’s useful
Filters low-quality MACD crosses
Identifies compression → expansion
Helps spot trend exhaustion when momentum fades outside the band
5. Visual Encoding (What you see)
Histogram colors
Bright green / red → strong acceleration
Dull green / maroon → weakening momentum
Gray → indecision
MACD line color
Yellow → converging (compression)
Orange → diverging (expansion)
Blue → neutral
Markers
Up triangle → bullish convergence
Down triangle → bearish divergence
6. How traders use this indicator
Trend continuation
MACD above zero
Histogram positive
Slope rising
Divergence expanding
➡ Strong trend continuation
Pullback entries
Trend intact
Histogram pulls back toward zero
Slope turns up again
➡ High-probability re-entry
Breakout anticipation
Long convergence
Histogram flattening
Sudden slope expansion
➡ Breakout likely
Exhaustion warning
Large divergence
Histogram slope weakens
Momentum fails to expand
➡ Trend may stall or reverse
7. Best use cases
Works best as a momentum confirmation tool
Combine with:
Market structure
Support / resistance
Moving averages
Volume or Force Index
Auto Fib Prev-Week Only for [4H+ Swing]Maps the previous week Fib levels:
Captures real supply & demand.
Defines where price was accepted or rejected.
Creates levels that current price must respect.
This indicator locks those levels in place and extends them forward.
What the levels represent:
- Previous Week High / Low
- Major boundaries. Breaks require momentum.
- 50% Level
- Balance point. Chop and indecision are common here.
- 61.8% Levels (Bull & Bear)
- Primary mean-reversion zones.
- Most reliable reaction levels.
- 78.6% Levels
- Last defense before trend failure or expansion.
- Extensions (1.214 → 2.618 / negatives)
- Exhaustion and target zones.
Working....
Dashboard (bottom-right)
- Nearest Sup / Res – Closest actionable level
- On Level? – Price is currently reacting at a level
- UpBreak% / DnBreak% – Probability of breaking vs rejecting
- Bias – Market posture (UP / DOWN / NEUTRAL)
- Tol – Sensitivity used for level detection
BLUF: Maps last week’s structure forward to identify high-probability reaction zones and whether price is more likely to revert or break.
Smart Scalper Pro Template + VWAP
📌 Author
Garry Evans
Independent system developer focused on:
Risk-first automation
Market structure & liquidity behavior
Discipline, consistency, and capital preservation
“The edge isn’t the market — it’s the man who survives it.”
⚙️ Risk Management & Position Sizing
The script is built around capital protection, not signal frequency.
Risk logic includes:
Fixed or dynamic risk per trade
Market-adaptive position sizing
Session-based trade limits
Daily trade caps and auto-lockout protection
Volatility-aware sizing (futures & crypto)
⚠️ Profit is pursued only after risk is controlled.
📊 Track Record
Backtested across multiple market environments
Forward-tested and actively used by the author
Real-account trades are logged where platform rules allow
Results vary by market, timeframe, and user-defined risk settings.
🌍 Supported Markets
Designed to work across all liquid markets, including:
Stocks
Crypto (spot & futures)
Options (signal-based framework)
Futures (indices, metals, crypto futures)
The system adapts to volatility and structure — it is not market-specific.
⚖️ Leverage
Leverage is not required
If used, leverage is fully user-controlled
Risk logic scales exposure conservatively
No martingale.
No revenge sizing.
No over-exposure logic.
🧪 Backtesting
✔ Yes
Strategy logic has been backtested
Filters reduce chop, noise, and forced trades
Focus on drawdown control over curve-fitting
🛠 Support
✔ Yes
Direct author support
Ongoing improvements and updates
Feature refinement based on real usage and feedback
👥 Community
✔ Yes
Private user access
High-quality feedback environment
No public signal spam or hype-driven chat rooms
⏳ Trial Period
✔ Yes
Limited trial access available
Designed for evaluation only
Trial users do not receive full feature access
🚫 Who This Script Is NOT For
This system is not for:
Traders looking for guaranteed profits
Users expecting copy-paste “signal calls”
Over-leveraged gamblers
Those unwilling to follow risk rules
Anyone seeking overnight results
This is a discipline and automation tool, not a shortcut.
🧠 Final Positioning
This is not a signal service.
This is a risk-controlled execution framework designed to:
Enforce discipline
Reduce emotional trading
Protect capital during bad market conditions
Scale responsibly during favorable ones
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following
Introduction
The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior.
Originality and Innovation
Distinct Methodological Approach
What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems.
Key Original Contributions:
Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise.
Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework.
Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture.
Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy.
Technical Implementation and Functionality
Core Operational Mechanism
DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades.
The Four-Pillar Architecture:
Volatility Measurement and Normalization
Calculates Average True Range (ATR) over a user-defined period
Converts absolute volatility to percentage terms relative to price
Compares current volatility against user-defined thresholds to filter suboptimal conditions
Dynamic Trailing Stop Algorithm
Establishes an initial stop distance based on current volatility
Implements a four-state adjustment mechanism that responds to price action
Maintains stop position during trend continuation while allowing for trend reversal detection
Conditional Signal Generation
Generates entry signals only when price action meets both directional and volatility criteria
Produces exit signals based on trailing stop penetration
Incorporates position state awareness to prevent conflicting signals
Comprehensive Feedback System
Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action
Displays real-time metrics through an integrated dashboard
Offers configurable visualization options for different trading styles
Specific Trend-Following Methodology
DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods:
Not a moving average crossover system (like MACD or traditional MA crosses)
Not a channel breakout system (like Bollinger Band or Donchian Channel breaks)
Not a momentum oscillator system (like RSI or Stochastic trend following)
Not a price pattern recognition system (like head-and-shoulders or triangle breaks)
Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that:
Wait for market volatility to reach actionable levels
Establish positions when price confirms directional bias through stop penetration
Manage risk dynamically based on evolving market conditions
Exit positions when the trend exhausts itself through stop violation
Practical Application and Usage
Market Environment Optimization
Ideal Conditions:
Trending markets with sustained directional movement
Medium volatility environments (neither excessively calm nor chaotic)
Timeframes: 4-hour to daily charts for optimal signal quality
Instruments: Forex majors, commodity futures, equity indices
Suboptimal Conditions:
Ranging or consolidating markets
Extreme volatility events or news-driven spikes
Very short timeframes (below 1-hour)
Illiquid or highly manipulated instruments
Parameter Configuration Strategy
Core Parameter Philosophy:
ATR Length (Default: 21 periods)
Controls the system's memory of volatility
Shorter lengths increase sensitivity but may cause overtrading
Longer lengths provide smoother signals but may lag during volatility shifts
ATR Multiplier (Default: 6.3x)
Determines the initial risk buffer
Lower values (4-5x) create tighter stops for conservative trading
Higher values (6-8x) allow for larger trends but increase drawdown risk
Volatility Threshold (Default: 1.5%)
Filters out low-quality trading environments
Adjust based on market characteristics (higher for volatile markets)
Acts as a quality control mechanism for signals
Trading Workflow and Execution
Signal Interpretation and Action:
Entry Protocol:
Wait for BLUE "BUY" signal label appearance
Confirm volatility conditions meet threshold requirements
Enter long position at market or next reasonable opportunity
Set initial stop at displayed dynamic stop level
Position Management:
Monitor dynamic stop line for position adjustment
Allow profits to run while stop protects capital
No manual adjustment required—system manages stop automatically
Exit Protocol:
Exit on ORANGE "SELL" signal label appearance
Alternative exit if price hits dynamic stop level
System will generate new entry signal if conditions warrant re-entry
Risk Management Integration:
Position sizing based on distance to dynamic stop
Volatility filter prevents trades during unfavorable conditions
Clear visual feedback on current risk exposure
Built-in protection against overtrading
Philosophical Foundation and Market Theory
Core Trading Principles
DATR-TS embodies several foundational market principles:
Volatility Defines Opportunity
Markets don't trend continuously—they alternate between trending and ranging phases
Volatility provides the energy for trends to develop and sustain
By measuring and filtering volatility, we can focus on high-probability trend phases
Risk Should Be Proportional
Fixed percentage stops ignore market context
Dynamic stops that adjust with volatility provide more appropriate risk management
Position sizing should reflect current market conditions, not arbitrary rules
Simplicity Through Sophistication
Complex systems often fail in real-world conditions
A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches
Clear visual feedback reduces cognitive load and emotional interference
Trends Persist Until Proven Otherwise
Markets exhibit momentum characteristics
Once a trend establishes itself, it tends to continue
The trailing stop methodology captures this persistence while providing exit mechanisms
Mathematical and Statistical Foundation
The system operates on several statistical market observations:
Volatility Clustering Phenomenon
High volatility periods tend to follow high volatility periods
Low volatility periods tend to follow low volatility periods
By filtering for adequate volatility, we increase the probability of capturing meaningful trends
Trend Magnitude Distribution
Most trends are small to medium in magnitude
Very large trends are rare but account for disproportionate returns
The dynamic stop methodology allows capture of varying trend magnitudes
Autocorrelation in Price Movements
Price movements exhibit short-term positive autocorrelation during trends
This persistence allows trailing stops to capture continued movement
The system leverages this characteristic without requiring explicit autocorrelation calculation
Performance Characteristics and Expectations
Typical System Behavior
Signal Frequency:
Low to moderate signal generation (prevents overtrading)
Signals concentrated during trending market phases
Extended periods without signals during ranging conditions
Risk-Reward Profile:
Win rate typically 40-60% in trending conditions
Average win larger than average loss
Risk-reward ratios of 1:2 to 1:3 achievable
Drawdown Patterns:
Controlled through volatility adjustment
Larger drawdowns during extended ranging periods
Recovery typically follows when trending conditions resume
Comparison with Alternative Approaches
Versus Moving Average Systems:
Less prone to whipsaws during ranging markets
Better adaptation to changing volatility conditions
Clearer exit signals through stop levels
Versus Channel Breakout Systems:
More responsive to emerging trends
Lower false breakout probability
Dynamic risk adjustment rather than fixed parameters
Versus Momentum Oscillator Systems:
Better trend persistence capture
Less susceptible to overbought/oversold false signals
Clearer position management rules
Educational Value and Skill Development
Learning Opportunities
DATR-TS serves as more than just a trading tool—it provides educational value through:
Market Condition Awareness
Teaches traders to distinguish between trending and ranging markets
Develops understanding of volatility's role in trading opportunities
Encourages patience and selectivity in trade execution
Risk Management Discipline
Demonstrates dynamic position sizing principles
Illustrates the importance of adaptive stops
Reinforces the concept of risk-adjusted returns
Psychological Skill Development
Reduces emotional trading through clear rules
Builds patience through conditional execution
Develops discipline through systematic approach
Customization and Evolution
The system provides a foundation for further development:
Beginner Level:
Use default parameters for initial learning
Focus on signal recognition and execution discipline
Develop understanding of system behavior across market conditions
Intermediate Level:
Adjust parameters based on specific market characteristics
Combine with complementary analysis techniques
Develop personal variations based on trading style
Advanced Level:
Integrate with portfolio management systems
Develop automated execution frameworks
Create derivative systems for specialized applications
Conclusion: The Modern Trend-Following Paradigm
The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically.
This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments.
For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following.
The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
EMA as Support/Resistance with Backtests (by Visual Sectors)Knowing what works for a specific stock is the game changer!
This script returns 3 years' backtest of EMA acting as Support or Resistance
Wins and Losses are defined as closing above/below the EMA 50. Settings can be changed to any EMA length.
Actionability is % of time EMA was within range, so a EMA 500 will have very low actionability, while EMA 5 - extremely high
H//@version=5
indicator("H", overlay=true)
// 設定計算的周期
length = input(30, title="Length")
// 計算最近的高點和低點
highestHigh = ta.highest(high, length)
lowestLow = ta.lowest(low, length)
// 畫出支撐和壓力線
line.new(x1=bar_index , y1=highestHigh, x2=bar_index, y2=highestHigh, color=color.red, width=2, extend=extend.right)
line.new(x1=bar_index , y1=lowestLow, x2=bar_index, y2=lowestLow, color=color.blue, width=2, extend=extend.right)
// --- SAR 計算與背景顏色 ---
sar = ta.sar(0.3, 0.3, 0.11)
bgcolor(close > sar ? color.new(color.red, 80) : color.new(color.green, 80))
// Hide the SAR plot by setting color with full transparency using `color.new`
plot(sar, style=plot.style_cross, color=color.new(color.blue, 100), linewidth=2)
// --- 定義時間範圍 ---
var int startHour = 8
var int startMinute = 45
var int endHour = 13
var int endMinute = 45
// 取得當前時間
currentTime = timestamp("GMT+8", year, month, dayofmonth, hour, minute)
startTime = timestamp("GMT+8", year, month, dayofmonth, startHour, startMinute)
endTime = timestamp("GMT+8", year, month, dayofmonth, endHour, endMinute)
// 價差計算
ix0001_price = request.security("IX0001", "1", close)
txf1_price = request.security("TXF1!", "1", close)
price_diff = (ix0001_price - txf1_price) / txf1_price
// 判斷條件：價差達到正或負0.004%且在指定時間範圍內
positive_condition = (price_diff >= 0.004) and (currentTime >= startTime) and (currentTime <= endTime)
negative_condition = (price_diff <= -0.004) and (currentTime >= startTime) and (currentTime <= endTime)
// 根據條件變更背景顏色
bgcolor(positive_condition ? color.new(color.red, 40) : na)
bgcolor(negative_condition ? color.new(color.green, 40) : na)
// --- KD Divergence Marker for 9,3 ---
k_9 = ta.sma(ta.stoch(close, high, low, 9), 3)
d_9 = ta.sma(k_9, 3)
var float lastHighPrice_9 = na
var float lastLowPrice_9 = na
var float lastHighKD_9 = na
var float lastLowKD_9 = na
isTopDivergence_9 = (k_9 > 93 and close < lastHighPrice_9 and k_9 < lastHighKD_9)
isBottomDivergence_9 = (k_9 < 15 and close > lastLowPrice_9 and k_9 > lastLowKD_9)
if ta.crossover(k_9, 97)
lastHighPrice_9 := high
lastHighKD_9 := k_9
if ta.crossunder(k_9, 15)
lastLowPrice_9 := close
lastLowKD_9 := k_9
plotshape(series=isTopDivergence_9, location=location.abovebar, color=color.orange, style=shape.labeldown, text="頂部轉折")
plotshape(series=isBottomDivergence_9, location=location.belowbar, color=color.green, style=shape.labelup, text="底部轉折")
// --- KD Divergence Marker for 14,3 ---
k_14 = ta.sma(ta.stoch(close, high, low, 14), 3)
d_14 = ta.sma(k_14, 3)
var float lastHighPrice_14 = na
var float lastLowPrice_14 = na
var float lastHighKD_14 = na
var float lastLowKD_14 = na
isTopDivergence_14 = (k_14 > 93 and close < lastHighPrice_14 and k_14 < lastHighKD_14)
isBottomDivergence_14 = (k_14 < 15 and close > lastLowPrice_14 and k_14 > lastLowKD_14)
if ta.crossover(k_14, 97)
lastHighPrice_14 := high
lastHighKD_14 := k_14
if ta.crossunder(k_14, 15)
lastLowPrice_14 := close
lastLowKD_14 := k_14
plotshape(series=isTopDivergence_14, location=location.abovebar, color=color.orange, style=shape.labeldown, text="頂部轉折")
plotshape(series=isBottomDivergence_14, location=location.belowbar, color=color.green, style=shape.labelup, text="底部轉折")
// --- Range Breakout ---
// Define the range
range_length = 23
highest_high = ta.highest(high, range_length)
lowest_low = ta.lowest(low, range_length)
// Determine if price is within the range
isInRange = (close >= lowest_low and close <= highest_high)
// Track when price re-enters the range after leaving it
var bool leftRange = false
if close < lowest_low or close > highest_high
leftRange := true
if leftRange and close >= lowest_low and close <= highest_high
leftRange := false
// Plot range only when price is within range
plot(isInRange and not leftRange ? highest_high : na, title="最高盤整區間", color=color.red, linewidth=1, style=plot.style_stepline)
plot(isInRange and not leftRange ? lowest_low : na, title="最低盤整區間", color=color.green, linewidth=1, style=plot.style_stepline)
// --- Volume Crossover Indicator ---
short_ma_length = 5
long_ma_length = 10
volume_multiplier = 3.5
short_ma_volume = ta.sma(volume, short_ma_length)
long_ma_volume = ta.sma(volume, long_ma_length)
current_volume_ratio = volume / short_ma_volume
crossover_condition = ta.crossover(short_ma_volume, long_ma_volume)
volume_condition = current_volume_ratio > volume_multiplier
plotshape(series=crossover_condition and volume_condition and isInRange, location=location.abovebar, color=color.red, style=shape.labelup, text="變盤")
RSI Divergence Indicator (Multi-Time Frame Confirmation)This custom-built RSI indicator blends traditional divergence detection with multi-timeframe trend confirmation, offering traders a smarter way to spot meaningful momentum shifts.
MA 9 & MA 20 Crossover + EMA200 + CONFIRMED + RSI OB/OS (Alerts)Tesing this strategy. This will not work for all coins. this is short specific coins
WEEKEND BOX (FRIDAY 17:00 - SUNDAY 18:00 NY)As the name “Weekend Box” suggests, this indicator highlights the price range of cryptocurrencies between Friday 17:00 and Sunday 18:00 (New York time). It draws a box around this period to visualize how Bitcoin and other crypto assets behave while the forex market is closed. The goal is to provide a simple, educational tool for anyone interested in studying weekend volatility and market behavior in crypto. Thank you.
VWAP Band PositionVWAP Band Position — Synopsis
VWAP Band Position is a session-based oscillator that measures where price is trading relative to volume-weighted VWAP deviation bands.
The indicator uses true VWAP logic with volume-weighted variance, resetting each trading session to ensure accurate intraday behavior.
Values are normalized on a 0–1 scale:
0.0 → price at the lower VWAP deviation band
0.5 → price at VWAP (fair value)
1.0 → price at the upper VWAP deviation band
Readings above 1.0 or below 0.0 indicate price extension beyond VWAP deviation, highlighting potential exhaustion, continuation, or mean-reversion conditions depending on market context.
This tool is designed for intraday traders who use VWAP as a primary reference and want a clear, normalized view of price location within the VWAP range. It works well alongside trend-strength or momentum indicators to help filter entries, manage risk, and identify high-probability trade zones.
YALGOS - Watermark What does the indicator do? The YALGOS - Watermark is a comprehensive visual dashboard that consolidates essential market data onto a single floating table on your chart. It tracks real-time metrics including volatility (ATR), Market Capitalization, daily percentage change, and Relative Volume (RVol). Additionally, it provides a countdown to upcoming earnings reports and identifies the specific sector and industry of the asset.
Why is it needed?
Centralized Information: It eliminates the need to toggle between different tabs or windows by providing a "birds-eye view" of both technical and fundamental data directly on the price action.
Risk Awareness: Through color-coded ATR logic, it alerts traders to abnormal volatility levels, helping them decide if a setup is too risky or within normal parameters.
Operational Efficiency: It ensures critical catalysts, such as earnings dates, are always visible, preventing costly mistakes. The built-in "Mobile Mode" also ensures that traders on the go have a clear, optimized view of their data.
ORB Breakout Strategy📊 Overview
📈 Systematic intraday Opening Range Breakout (ORB) strategy
🧭 Designed for index CFDs (e.g. US500)
⏱️ Optimized for 5-minute charts during regular trading hours
🛡️ Strict risk management and position sizing
🚦 Maximum one trade per day
💡 Core Idea
🌅 The market establishes a key price range shortly after the open
🚀 A confirmed breakout from this opening range can signal directional momentum
🎯 The strategy trades only confirmed breakouts with predefined risk
📐 Opening Range Definition
⏰ Opening range is defined between 09:30 and 09:45 (exchange time)
🕯️ Uses the first three 5-minute candles of the session
⬆️ Opening Range High is the highest high of those candles
⬇️ Opening Range Low is the lowest low of those candles
🟢 Long Trade
📊 A 5-minute candle closes above the Opening Range High
🟩 A Fair Value Gap (FVG) exists relative to the candle 10 minutes earlier
🧲 A buy limit order is placed at the Opening Range High
🔴 Short Trade
📉 A 5-minute candle closes below the Opening Range Low
🟥 A Fair Value Gap (FVG) exists relative to the candle 10 minutes earlier
🧲 A sell limit order is placed at the Opening Range Low
🛑 Stop Loss
📉 Long trades use the low of the candle 10 minutes before the breakout
📈 Short trades use the high of the candle 10 minutes before the breakdown
🎯 Take Profit
⚖️ Fixed reward-to-risk ratio of 2:1
📏 Take profit distance equals two times the stop loss distance
💰 Position Sizing
💵 Fixed dollar risk per trade (default: $2,000)
📐 Position size is calculated dynamically based on stop loss distance
🔁 Risk remains consistent across changing volatility conditions
⏳ Trade Management Rules
🚦 Maximum one trade per day, including same-bar entries and exits
🕛 No new entries after 12:00 (exchange time)
⏰ All open positions are closed at 15:50
❌ Pending orders are cancelled after the entry cutoff or at session end
⚙️ Execution & Costs
💸 Commission model can be configured in the strategy settings
🧪 Backtests use TradingView Strategy Tester mechanics
📝 Notes
📚 This is a rules-based trading strategy, not a signal service
🔍 Results depend on instrument, broker feed, spreads, and commissions
🧠 Forward testing is strongly recommended before live trading
⚠️ Disclaimer
📖 This script is provided for educational and research purposes only
🚫 It does not constitute financial advice
🔥 Trading leveraged instruments involves significant risk
SB - Print MachineIntraday Trading, Observation - Nifty 50, Trade - Nifty Options, Buying only
Rules for Call Options Buying - Observe Nifty 50 Index
1. VWDEMA turns Green (Bullish).
2. VDema turns Green and crossing VWDEMA upside (Bullish).
3. ATR turns Green (Bullish)
4. VPC background turns Green (Bullish). Now Enter Call Side and enjoy the day....
Rules for Put Options Buying - Observe Nifty 50 Index
1. VWDEMA turns Red (Bearish).
2. VDema turns Red and crossing VWDEMA Downside (Bearish).
3. ATR turns Green (Bearish)
4. VPC background turns Red (Bearish). Now Enter Put Side and enjoy the day.....
Exit Rules - As per your own appitite :)
Settings :
VWDEMA Length - 44
VDEMA Length - 21
ATR Length - 14
ATR Multiplier - 1.5
BB - Ignore (Disable/Hide)
Pivot Calculation Method - Wick
Pivot Left Length (Low/High) - 4
Pivot Right Length (Low/High) - 1
Pivot Lebels - Enable All
Pivot Markers - Disable All
Pivot Values - Disable All
VPC Length - 14
VPC Time Frame - 3 Minutes
Main Chart Time Frame - 5 Minutes
Display Settings - As per your own eye comfort
Note - All/Many parameters used here are customisable and come with a dynamic colour coding(Different colour code for uptrend and downtrend)
Settings shared here are best suited to me in terms of output. You can check for your own the settings which suits you the best.
Good Luck !!
Ichimoku Cloud Breakout [Full System + Black Labels]Ichimoku Cloud Breakout & Twist System This indicator implements a disciplined Ichimoku Cloud Breakout strategy designed to filter noise and capture high-probability trends. Unlike simple crossovers, it enforces a "Triple Confluence" setup: price must break the Cloud, the Future Cloud must match the trend direction, and the Chikou Span (Lagging Span) must be free of past price traffic to confirm momentum. To keep your charts clean, it features a State Filter that blocks repetitive alerts (alternating Buy/Sell signals only) and includes a predictive "Twist Ahead" warning system, which visually alerts you to future Cloud twists, often a precursor to reversals or volatility, 26 periods in advance.
SB - Print MachineIntraday Trading (Buying Only), Observation - Nifty 50, Trade - Nifty options (ATM)
Rules Call Options (ATM):
1. VWDEMA turns Green (Bullish)
2. VDema turns Green and crossing VWDema upside (Bullish)
3. ATR turns Green (Bullish)
4. VCP background turns Green (Bullish)
Rules Put Options (ATM):
1. VWDEMA turns Red (Bearish)
2. VDema turns Red and crossing VWDema downside (Bearish)
3. ATR turns Red (Bearish)
4. VCP background turns Red (Bearish)
Indicator Settings :
1. VWDEMA Length - 44
2. VDema Length - 21
3. ATR Length - 14
4. ATR Multiplier - 1.5
5. BB - Ignore and Skip (Hide)
6. Pivot Calculation Method - Wick
7. Pivot Left Length (Low/High) - 4
8. Pivot Right Length (Low/High) - 1
9. Pivot Levels - Enable All
10. Pivot Markers - Disable
11. Pivot Values - Disable
12. VPC Length - 14
13. VPC Time Frame - 3 Minutes
14. Main Chart Time Frame - 5 Minutes
Display Settings : As per your eye comfort
Note - All settings are customisable here and most are with dynamic colour code (Different colours for upside and downside movement)
Setting shown here are used by me and deliver good results to me only, you can find out your own settings which suits you the best.
Good Luck !!
Gold Futures Prop-Firm Strategy (GC) 1-18-2026Overview
This is a long-only, session-based, multi-regime trading strategy designed specifically for Gold futures (GC / GC1!) on intraday timeframes (typically 5–15 minutes).
The strategy aims to capture high-probability moves during the New York and Asian sessions while avoiding major economic news events and enforcing strict daily risk limits — making it suitable for prop firm challenges (e.g. FTMO, FundedNext, Apex, etc.) that require consistent profitability, limited drawdown, and disciplined risk management.
Core Philosophy
Trade longs only (shorts were removed after analysis showed they were consistently unprofitable)
Different logic depending on session and market regime (trending vs ranging)
Heavy filtering using trend strength (ADX), volume confirmation, EMA alignment, Bollinger Bands, and RSI
Strict position sizing, daily loss cap, per-session trade limits, and news blackout periods
Trailing stop mechanism to let winners run while protecting against reversals
Trading Sessions & Time Windows (Eastern Time)
NY Session: 08:30 – 15:00 ET
NY AM (trend/breakout zone): 08:30 – 11:30 ET
NY PM (mean-reversion zone): 11:30 – 15:00 ET
Asia Session (mean-reversion zone): 18:00 – 02:00 ET
News blackouts: short windows around high-impact releases (CPI/NFP, ISM/Fed, FOMC)
Entry Logic (Long Only)
NY AM – Trend Following & Breakouts (strongest trend filter)
ADX > 30 (strong trend)
Price above 200 EMA (bull regime)
Fast EMA (21) crosses above Slow EMA (55) or breakout above 20-bar high
Volume spike (> 1.4 × 20-period SMA)
Max 2 trades per NY session per day
NY PM & Asia – Mean Reversion
ADX ≤ 30 (ranging market)
Price below lower Bollinger Band (20, 2.0)
RSI < 25 (deep oversold)
No volume filter required here
Max 2 trades per Asia session per day
Risk Management Rules
Position size: Fixed 1–2 contracts (user selectable)
Initial stop: 1.7 × ATR(14) below entry (tightened from original)
Trailing stop:
Activates after price moves +1.0 × ATR in profit
Trails by 1.0 × ATR (locked-in profits aggressively)
Daily loss limit: -$600 (stops all trading for the day once hit)
No trading during defined news windows
Pyramiding disabled (only one position at a time)
No short entries (removed after backtest analysis)
Indicators Used
EMA 21 / 55 / 200 (trend direction & filter)
ATR(14) × 0.85 (volatility base)
ADX(14) threshold 30 (strong trend confirmation)
Bollinger Bands (20, 2.0) for mean-reversion entries
RSI(14) with oversold < 25
Volume spike filter (1.4× SMA) for trend/breakout entries
20-bar highest high / lowest low for breakout detection
Visual Elements on Chart
Fast (blue), Slow (orange), and Filter (red) EMAs
Bollinger Bands (gray, semi-transparent fill)
Background coloring:
Red tint during news blackout periods
Purple tint when daily loss limit is hit
Intended Use Case
Prop trading firm evaluation accounts
Conservative intraday gold trading
Focus on high-quality long setups in trending (NY AM) and mean-reverting (Asia/PM) environments
Goal: positive expectancy with controlled drawdown, suitable for passing drawdown and profit targets
SB - Print MachineIntraday Trading @ 5 Minutes TF -Observation @ Nifty 50 Index , Trade on - Nifty options
Rules : Call options (ATM) Entry :
1. VWDEMA is Green (Bullish)
2. Vdema is Green and Crossing VWDema upside (Bullish)
3. ATR Turns Green (Bullish)
4. Vwap Channel Background is Green
Put Options (ATM) Entry :
1. VWDEMA is RED (Bearish)
2. Vdema is Red and Crossing VWDema downside(Bearish)
3. ATR Turns Red (Bearish)
4. Vwap Channel Background is red
Settings :
VWDEMA - 44
VDema - 21
ATR - 14
ATR Multiplier - 1.5
BB - Skip
Pivot Calculation Method - Wick
Left length - 4
Right Length - 1
Pivot Lebels - Enable all
Pivot arkers - Skip All
Pivot Values - Skip All
VPC Length - 14
VPC Time Frame - 3 minutes
Main Chart Time Frame - 5 Minutes
Colour Display Settings : As per you eyes comfort. Parameters have dynamic colour coding (different for uptrend and downtrend, use accordingly)
Parameters here are customisable, Shared here is what I am using and getting good results. Test your settings which suits you best. Good Luck !!
200W SMA Dynamic Extension Bands (MTF, Auto Asset)Summary
200W SMA Dynamic Extension Bands is a multi-timeframe TradingView indicator that plots extension bands (multiples) around the 200-week simple moving average. It’s designed to work on any chart timeframe (1m → 1D → 1W) while anchoring the bands to the latest confirmed weekly data, so the long-term reference is consistent and non-repainting across timeframes.
This is a macro “valuation/temperature gauge” style tool: it helps you quickly see when the price is cheap vs. the 200W mean and when it is extended/expensive.
What it plots
The indicator always computes:
200-week SMA (weekly)
Band m2
Band m3
Band m4
Bands are defined as:
Bandk(t)=SMA200W(t)⋅mk
Where the multipliers mk are chosen automatically depending on the asset type (or manually via input).
Key features
Works on any timeframe: weekly SMA is fetched via request.security(..., "W", ...).
Non-repainting weekly anchor: uses barmerge.lookahead_off to avoid peeking into future weekly bars.
Auto asset presets:
Crypto: wider extensions (bigger cycles)
Gold: moderate extensions
Equities: tighter than crypto
FX: very tight extensions
Futures: moderate fallback
Zone coloring (optional):
Cheap zone (below 1×)
Fair zone (1× → m2)
Hot zone (m2 → m3)
Expensive zone (m3 → m4)
Info table (optional): shows selected preset, current multiple, and % extension vs 200W SMA.
Alerts (optional): “entered cheap” and “entered expensive” style triggers.
Presets (default multipliers)
These are intentionally conservative templates (tune to your market):
Crypto: 1.0,1.5,2.0,3.0
Gold: 1.0,1.2,1.5,2.0
Equities: 1.0,1.15,1.30,1.60
FX: 1.0,1.05,1.10,1.20
Futures: 1.0,1.25,1.50,2.00
Auto mode uses syminfo.type plus a simple heuristic for Gold tickers containing XAU / GOLD (because some platforms classify XAUUSD as forex).
How to use (practical)
Macro context / cycle temperature
Price below 1× (200W SMA): historically “cheap zone” for highly cyclical assets (especially BTC).
Price above m3: often “expensive/extended” and higher risk of mean reversion.
Not a standalone trading system
Use with trend confirmation (market structure), volume, and risk management.
Extensions can persist in strong trends—treat bands as regime context, not precise reversal points.
Settings you can change
SMA Length (Weeks): default 200
Band preset: Auto / Crypto / Gold / Equities / FX / Futures
Toggle:
Zone fills
Info table
Alerts
Included alertconditions:
Cross below 1× (entered cheap zone)
Cross above m3 (entered expensive zone)
High level guideline:
Green Zone: BUY (Below 1.0× - Undervalued)
Yellow Zone: HOLD (1.0× - 1.5× - Fair Value)
Orange Zone: CAUTION (1.5× - 2.0× - Getting Hot)
Red Zone: SELL (2.0× - 3.0× - Overvalued)
Notes / limitations
The “cheap/expensive” zones are heuristics. They do not guarantee future returns.
Auto classification is best-effort; if your symbol is unusual, set the preset manually.
For newly listed assets with limited weekly history, the 200W SMA may be na until enough data exists.
