atr stop loss for double SMA v6Strategy Name
atr stop loss for double SMA v6
Credit: This v6 update is based on Daveatt’s “BEST ATR Stop Multiple Strategy.”
Core Logic
Entry: Go long when the 15-period SMA crosses above the 45-period SMA; go short on the inverse cross.
Stop-Loss: On entry, compute ATR(14)×2.0 and set a fixed stop at entry ± that amount. Stop remains static until hit.
Trend Tracking: Uses barssince() to ensure only one active long or short position; stop is only active while that trend persists.
Visualization
Plots fast/slow SMA lines in teal/orange.
On each entry bar, displays a label showing “ATR value” and “ATR×multiple” positioned at the 30-bar low (long) or high (short).
Draws an “×” at the stop-price level in green (long) or red (short) while the position is open.
Execution Settings
Initial Capital: $100 000, Size = 100 shares per trade.
Commission: 0.075% per trade.
Pyramiding: 1.
Calculations: Only on bar close (no intra-bar ticks).
Usage Notes
Static ATR stop adapts to volatility but does not trail.
Ideal for trending, liquid markets (stocks, futures, FX).
Adjust SMA lengths or ATR multiple for faster/slower signals.
Penunjuk dan strategi
EMA Crossover + RSI Filter with ATR StopsCore Concept & Logic:
This strategy utilizes a powerful combination of Exponential Moving Average (EMA) crossovers and Relative Strength Index (RSI) filters for signal validation. It includes dynamic risk management by setting Take-Profit and Stop-Loss targets based on the Average True Range (ATR).
How It Works & Signal Interpretation:
EMA Crossovers: A bullish signal is generated when the faster EMA (20-period default) crosses above the slower EMA (50-period default), indicating upward momentum. A bearish signal occurs when the fast EMA crosses below the slow EMA.
RSI Filter: Ensures entries aren't made during extreme market conditions (avoids longs when RSI > 70, avoids shorts when RSI < 30).
ATR-Based Stops: Automatically calculates realistic Stop-Loss and Take-Profit targets, helping manage risk relative to recent volatility.
Key Input Parameters:
Fast EMA Length: Recommended between 10-30 (default 20).
Slow EMA Length: Recommended between 40-100 (default 50).
RSI Length: Typically 14 periods.
RSI Overbought Threshold: 70 (standard RSI practice).
RSI Oversold Threshold: 30 (standard RSI practice).
ATR Length: Typically 14 periods for standard volatility measure.
Stop-Loss Multiplier: Recommended range: 1.5-2.5 (default 1.5).
Take-Profit Multiplier: Recommended range: 2-4 (default 3).
Ideal Usage & Performance Scenarios:
Performs well in trending markets (stocks, crypto, forex).
Potentially weaker during choppy or sideways markets due to false EMA crossovers.
Ideal on timeframes like 1H, 4H, and 1D charts.
Known Limitations & Risks:
EMA strategies can produce false signals in ranging markets.
RSI filter may limit entries in persistently strong trending conditions.
ATR-based stops might not accommodate sudden volatility spikes.
For more such strategies visit stratizone.com where you will get settings as well. The platform also offers to share the strategies and find them easily with lots of filters.
The equity curve is on BTC, 15min
SuperTrend Strategy with Trend-Based Exits🟩 SuperTrend Strategy with Trend-Based Exits
This is a fully automated trend-following strategy based on the popular SuperTrend indicator, enhanced with a position sizing algorithm tied to stop-loss distance and dynamic entry/exit rules. The strategy is designed for futures trading with an emphasis on sustainable risk, realistic backtesting, and transparent logic.
🧠 Concept and Methodology
The strategy uses the SuperTrend indicator, which is derived from ATR (Average True Range) and is widely used to capture medium- to long-term market trends.
Key features:
✅ Entries are triggered only when the SuperTrend direction changes (trend reversal).
✅ Exits are performed using a dynamic stop-loss placed at the SuperTrend line.
✅ Position size is automatically calculated based on the trader’s fixed dollar risk per trade and the current distance to the stop-loss.
✅ Rounding logic is included to ensure quantity is valid for the exchange’s lot size.
This strategy does not use any take-profit or classic trailing stop — the position is only closed when the trend reverses or the stop is hit by touching the SuperTrend line.
⚙️ Default Parameters
ATR Length: 92
Factor: 4.6
Risk per trade: $200 (2% of the default $10,000 capital)
Lot step: 0.01
Commission: 0.05%
Slippage: 5 ticks
These default parameters are not universal. They were optimized specifically for ETHUSDT at 15M timeframe and may not produce viable results on other pairs and timeframes.
Users are encouraged to customize the settings according to specific asset’s volatility, timeframe and other characteristics.
❗ These default settings yield meaningful backtesting results on ETHUSDT with a reasonable number of trades (180+) over 6-month period. If applied to other assets, results may vary significantly.
📈 Position Sizing Logic
The strategy uses a dynamic position sizing formula:
position_size = floor((risk_per_trade / stop_loss_distance) / lot_step) * lot_step
This ensures the trader always risks a fixed dollar amount per trade and never exceeds a sustainable equity exposure (recommended 2% or less).
✅ Realism in Backtesting
To ensure realistic and non-misleading backtest results, this strategy includes:
— Slippage and commission settings matching average exchange conditions (commission = 0.05%, slippage 5 ticks).
— Position sizing based on stop-loss distance (not fixed contract quantity).
— A fixed risk-per-trade model that adheres to responsible capital management principles.
— This is in compliance with TradingView's Script publishing rules and House Rules.
📌 How to Use
Apply the strategy to a clean chart (preferably 15M for ETHUSDT by default).
If using another asset, adjust:
- ATR Length
- Factor
- Risk per trade
- Qty step (lot precision for the symbol)
Avoid using with other indicators unless you understand their purpose.
Use the Strategy Tester to evaluate performance and optimize parameters.
⚠️ Disclaimer
This is not financial advice. Always perform forward testing and assess risk before deploying any strategy on live capital. The strategy is designed for educational and experimental use.
Estratégia Integrada para DaytradingTreasury 5H Strategy Description for TradingView
Uncover Market Signals with Integrated and Exclusive Analysis
Introducing the Treasury 5H, an advanced and highly customizable technical analysis tool for traders seeking a deeper, more integrated view of the market. This robust indicator has been meticulously developed to combine the strength of established technical indicators with the intelligence of two proprietary and exclusive components: the Treasury Oscillator and Multi-Asset Correlation. The result is a powerful system that delivers buy and sell signals based on the confluence of multiple analyses, providing a unique perspective not found in other available tools.
A Symphony of Technical Indicators
The Treasury 5H harmonizes different analytical approaches to capture various facets of price movement. It incorporates classic indicators like the DMI (Directional Movement Index), ideal for identifying trend direction and strength, allowing you to filter out noise and focus on more significant movements. Alongside the DMI, the indicator utilizes the MACD (Moving Average Convergence Divergence), a versatile momentum oscillator that helps detect changes in the strength, direction, and duration of a trend. Complementing the trend and momentum analysis, a configurable Moving Average (SMA, EMA, WMA, or VWMA) provides a dynamic baseline to assess the current price position, helping to confirm the prevailing market direction.
The Exclusive Advantage: Treasury Oscillator and Multi-Asset Correlation
The true differentiator of the Treasury 5H lies in its exclusive components, developed in-house and unavailable on any other platform. The Treasury Oscillator is an innovation that allows you to compare the normalized performance of the main asset you are analyzing with up to three other assets of your choice, such as treasury bonds (Treasuries), currencies, or other relevant indices. By calculating a standard deviation score for each asset relative to its averages, the oscillator identifies performance divergences and convergences, offering valuable insights into relative strength and potential inflection points that isolated indicators might miss.
Additionally, the Multi-Asset Correlation indicator offers another layer of exclusive intermarket analysis. It calculates and compares the normalized percentage change of the main asset with up to three other user-selected assets over a defined period. This performance correlation analysis helps understand how the main asset is moving relative to other correlated (or uncorrelated) markets or instruments, providing crucial context about capital flow and overall market sentiment. The combination of these two proprietary indicators offers unprecedented analytical depth.
Unmatched Flexibility and Customization
We understand that every trader and every asset is unique. Therefore, the Treasury 5H was designed with an exceptional level of flexibility. You have full control to individually enable or disable each of the five components (DMI, MACD, Moving Average, Treasury Oscillator, Multi-Asset Correlation), allowing you to tailor the analysis to your specific preferences and strategies. Furthermore, all parameters are adjustable, from the calculation periods of each indicator (DMI, MACD, MAs, Oscillator and Correlation Periods) to reference levels (like the minimum ADX level) and the symbols of the assets to be compared in the proprietary modules. This fine-tuning capability ensures the indicator can be optimized for different assets, timeframes, and market conditions.
To further refine your strategy and increase signal precision, the Treasury 5H includes a powerful configurable trading session filter. This feature allows you to define up to three specific time periods during the day when the indicator's signals will be completely inactive. Use this strategic tool to avoid receiving signals and trading during hours known for low liquidity, unwanted excessive volatility, or simply outside your preferred operating window, ensuring you only act when market conditions are more favorable to your approach. Visual settings are also customizable, allowing you to adjust the colors for buy and sell signals, the transparency of the bar coloring, and the option to show or hide the Moving Average on the chart.
Clear and Integrated Signals
The Treasury 5H generates clear buy or sell signals when all selected and active indicators point in the same direction, ensuring a confluence-based approach for greater robustness. If the time filter is active, signals will only be generated during permitted operating periods. The signal state is visually represented by bar coloring: one color for the initial entry candle (buy or sell), a lighter shade for signal continuation, and optionally, a neutral color for periods defined as inactive. To facilitate monitoring, the indicator includes configurable alerts for new signal entries and when an existing signal is invalidated. Additionally, an information table in the corner of the chart displays the current status (buy, sell, or neutral) of each individual component and the final integrated signal, offering full transparency into the indicator's logic.
Acquire Your Competitive Edge
The Treasury 5H is not just another indicator; it's a comprehensive analysis system that integrates standard tools with exclusive, proprietary intermarket analyses. Its high degree of customization allows it to be adapted to virtually any trading style and asset. By incorporating the Treasury Oscillator and Multi-Asset Correlation, you gain insights simply unavailable in other tools. Elevate your technical analysis and make more informed trading decisions with the Treasury 5H.
How to Use the Treasury 5H Indicator
The Treasury 5H is designed as a powerful tool to complement and confirm your own market analysis, not as a standalone trading system. The key to extracting maximum value from this indicator lies in its intelligent integration with your personal analytical approach, whether focused on technical, fundamental, macroeconomic aspects, or a combination thereof.
The recommended workflow begins with your in-depth analysis of the asset and market context. Identify potential opportunities, support and resistance levels, trends, and relevant patterns based on your preferred methods. Once you have a clear view and a trade hypothesis, patiently wait for the Treasury 5H to generate a buy or sell signal that aligns with and corroborates your analysis. Always remember: the indicator provides a possible entry signal based on the confluence of active components, but the final decision to execute the trade must always be yours, validated by your own market reading.
When a signal is generated, it is visually highlighted by the bar's color (blue for buy, red for sell, by default). This first opaque colored bar indicates the initial moment of signal confluence. Subsequent bars, with the same color but more transparent, signal that the conditions that generated the initial signal still persist, and the asset is theoretically continuing in the indicated direction. However, how you act after the signal depends on your strategy. Many traders prefer not to enter immediately on the first signal bar but rather wait for additional confirmation, such as a pullback towards the signal bar or a clear breakout above the high (for buys) or below the low (for sells) of that bar. Test and adapt your entry strategy to find what works best for you in conjunction with the Treasury 5H signals.
Contact me privately for questions, suggestions, or adjustments.
Enhanced EMA Band Rejection Strategy📈 Enhanced EMA Band Rejection Strategy 🎯
🌟 Revolutionary Trading Approach with Smart Band Recognition
🔥 What Makes This Strategy Unique?
🎪 The Power of EMA Band Rejection - This isn't just another EMA crossover strategy! We've engineered a sophisticated system that identifies high-probability reversal opportunities when price gets rejected from EMA bands, creating explosive momentum moves.
🎯 Core Trading Logic
📊 Dual EMA System (12 & 21)
🟢 Bullish Environment: EMA12 > EMA21 (Green Bands)
🔴 Bearish Environment: EMA12 < EMA21 (Red Bands)
⚡ Trend Consistency: Requires sustained trend direction for configurable bars
🚀 Entry Conditions - Precision Engineered
📈 LONG Setups (Bullish Rejection)
🎯 Price wicks down to touch EMA bands
💪 Strong bullish candle body (body > lower wick)
✂️ Minimal upper wick (< 2% of candle range)
🟢 Close ABOVE both EMAs (breakout confirmation)
🛡️ Previous candle didn't close below lower band
⏰ Consistent bullish trend for required bars
📉 SHORT Setups (Bearish Rejection)
🎯 Price wicks up to touch EMA bands
💪 Strong bearish candle body (body > upper wick)
✂️ Minimal lower wick (< 2% of candle range)
🔴 Close BELOW both EMAs (breakdown confirmation)
🛡️ Previous candle didn't close above upper band
⏰ Consistent bearish trend for required bars
🛡️ Advanced Risk Management
💎 Fixed Risk-Reward Ratio (Default 3:1)
🔴 Stop Loss: Previous candle's high/low
🎯 Take Profit: Automatically calculated based on R:R ratio
📊 Position Sizing: Percentage of equity (default 10%)
🔔 Smart Notification System
🚨 Complete Alert Suite:
🟢 Entry Signals: Instant trade entry notifications
🛑 Exit Alerts: Stop loss and take profit hits
⚠️ Setup Warnings: Potential setups forming
❌ Failed Conditions: Debug failed entries
📱 Mobile Friendly: Formatted for all devices
🎛️ Fully Customizable Parameters
⚙️ Fine-Tune Your Edge:
📏 EMA lengths (default 12/21)
🎯 Risk-reward ratio (1:1 to 10:1)
📊 Maximum wick percentage tolerance
⏳ Trend consistency requirements
🔔 Notification preferences
🧠 Advanced Debugging Features
🔍 Real-Time Analysis Dashboard:
📋 Live condition monitoring table
🎨 Color-coded background alerts
📊 Detailed failure analysis
💡 Previous candle position tracking
🔄 Trend consistency verification
🎨 Visual Excellence
🖼️ Professional Chart Presentation:
🔵 EMA12 (Blue line)
🔴 EMA21 (Red line)
🟢 Long entry backgrounds
🔴 Short entry backgrounds
🎯 Stop loss and take profit levels
🏷️ Entry/exit labels
📊 Performance Optimized
⚡ Built for Speed & Accuracy:
🚀 Efficient Pine Script v5 code
🎯 Precise mathematical calculations
🔄 Real-time condition checking
📱 Optimized for all timeframes
💾 Memory-efficient execution
🎪 Why Traders Love This Strategy
✅ High Win Rate Potential: Catches strong momentum moves after rejection
✅ Clear Entry/Exit Rules: No guesswork or emotional decisions
✅ Excellent Risk Management: Fixed R:R with automatic stops
✅ Trend-Following Edge: Only trades with the dominant trend
✅ Multiple Timeframe Friendly: Works on various timeframes
✅ Comprehensive Alerts: Never miss a trading opportunity
✅ Professional Grade: Institution-quality logic and execution
Made by NickGolobor.GM
BB Cross + Martingale Hedging Strategy🔁 Buy and Sell Trend Indicator (Multi-Entry Trend Follower)
This indicator detects bullish and bearish trends based on candle direction and highlights trend shifts with multiple entry opportunities.
🔍 Features:
Buy Signals: Triggered when a bullish candle follows a bearish one, initiating a potential upward trend.
Sell Signals: Triggered when a bearish candle follows a bullish one, signaling potential downward momentum.
Multi-Entry Logic: Captures up to 5 consecutive entries in the same trend to compound positions or confirm strength.
Visual Labels: Clearly marked buy/sell labels and trend continuation counts on the chart.
Color-coded Backgrounds: Light green/red highlights for bullish/bearish candles.
Alerts: Set real-time alerts for trend reversals and continuation signals, ensuring you're notified instantly.
🧠 Ideal For:
Trend-following traders looking for clear entry points.
Scalpers and swing traders who want to track momentum shifts.
Users who prefer visual confirmations and real-time alerts.
Test_MACD-English-
Sample MACD-Based Trading Strategy
1. Buy: Enter a long position when the MACD Histogram is greater than 0 and increasing, AND the current price is greater than the highest price of the previous 20 periods. Exit the trade when the MACD Histogram falls below 0 or when the stop-loss level is hit. Set the stop-loss level at the lowest price of the last 3 candlesticks when entering the trade.
2. Sell: The conditions for selling are the opposite of the buy conditions.
Golden Triangle Strategy (1H, Setup 1 & 2)🔺 Golden Triangle Strategy – Setup 1 & 2 with Dynamic Trailing Stop (Optimized for 1H Chart)
### 📘 Strategy Summary
This strategy blends **technical pattern recognition** with **volume confirmation** and **dynamic risk management** to capture high-probability breakouts. It features two independent entry setups . More details can be found at thepatternsite.com
I have added intelligent trailing stop that **tightens once a profit threshold is reached**. Please note that this is not mentioned in GoldenTriangle strategy. I just added to capture the profits.
### ✅ Entry Setups
#### **Setup 1 – Golden Triangle Breakout**
* Detects **triangle formations** using recent pivot highs and lows.
* A **bullish breakout** is confirmed when:
* Price **closes above the triangle top**, and
* Price is also **above the 50-period SMA**.
* Entry: At breakout candle close.
* Ideal for early momentum trades after consolidation.
#### **Setup 2 – Price + Volume Confirmation**
* Based on **mean reversion followed by volume surge**:
* Price drops **below the 50 SMA**, then closes **back above it**.
* Requires at least one **"up day"** (current close > previous close).
* Volume must be:
* Above its 50-SMA, **and**
* Higher than each of the **previous 4 days**.
* Entry: At the close of volume-confirmation day.
* Useful when triangle patterns are not clear, but accumulation is strong.
---
### 📈 Entry Logic Recap
| Condition | Setup 1 | Setup 2 |
| ------------------ | --------------------- | --------------------------------------- |
| Pattern | Triangle Breakout | SMA Reclaim + Volume Surge |
| SMA Filter | Close > 50 SMA | Price drops < 50 SMA, then closes above |
| Volume Requirement | Not Required | > Volume SMA + > last 4 bars |
| Entry Trigger | Breakout candle close | After volume confirmation |
---
### 🚪 Exit Strategy
#### 🔁 **Trailing Stop Loss (TSL)**
* **Initial stop:** 10% below the **highest price reached** after entry.
* **Tightening rule:**
* When profit reaches **10%**, the trailing stop is **tightened to 5%**.
* This keeps you in the trade while locking in more profit as the trade moves in your favor.
#### 🔻 **Manual Close**
* If the price drops below the trailing stop, the position is automatically closed using `strategy.close()`.
---
### 🌈 Visual Aids & Additions
* Green background shading while in a trade.
* Real-time dashboard showing:
* SMA values
* Entry signals
* Plots for:
* Dynamic trailing stop
* Weekly Fibonacci R3 and S3 levels as outer support/resistance zones.
---
### 🧠 Ideal Use Cases
* Works well on **1-hour charts** for intraday to short swing trades.
* Especially effective in **sideways-to-bullish markets**.
* Helps avoid false breakouts by using SMA and volume filters.
---
Tip: I also showed weekly R3 on the chart. When the price touches at this level lock your profits. You Dont have to wait until price hits trailing stop loss.
warning : This strategy is published educational purposes only.
INDIAN HANUMAN 369 2.0🛕 INDIAN HANUMAN 369 2.0
Optimized for Heikin Ashi Candles
A powerful and versatile trading tool designed for scalping, intraday, swing, and long-term trading. This indicator delivers clean and reliable entry/exit signals that work well across stocks, options, futures, crypto, and forex.
🔍 How to Use:
📊 Use with Heikin Ashi candles for smooth trend detection
💰 Exit early if your profit target is achieved — no need to wait for a signal
🔔 Built-in alerts for Long/Short entries and exits
🕒 Timeframe Recommendations:
Use Case Recommended Timeframe
Scalping (Options Expiry) 1 Minute
Crypto/Forex (News Time) 1 Minute
Intraday (General) 3 Minutes
Consolidation (11 AM – 2 PM IST) 5 Minutes
Monthly Stock & Futures Trades 15 Minutes
Long-Term Holding (1+ Month) 1 Hour
📈 Pro Tips for Maximum Gains:
✅ Avoid Overtrading – Focus on 2–3 high-quality setups per day
📊 Backtest First – Validate performance on at least 3 months of historical data
📈 Scale Gradually – Start small and only increase size after 5 consecutive wins
✅ Best Practices:
Backtest on your preferred assets and timeframes before live use
Ideal during market hours for Indian equities and derivatives
Works equally well across global markets and crypto exchanges
💬 Final Note:
Practice for 2–3 days, trust the process, and trade smart! 📈🚀
⚠️ Disclaimer:
This tool is for educational purposes only. No indicator guarantees profits. Always use proper risk management.
Sniper Scalper ProThis strategy is ideal for traders who enjoy scalping on the 1-minute and 5-minute timeframes.
Rifaat Ultra Gold AI v6.1🔄 SL moves with each new candle if the price moves in favor of the trade.
🟢 Break-Even Protection
If a certain profit percentage is reached, the SL is moved to the entry point (zero loss).
🔕 Audio and Visual Alerts
A sound notification on buy/sell signals.
A visual alert on the screen.
🎛️ Settings Control
Adjustable from the settings menu.
FX Public [FMWX]💻FX Public Dual Direction Strategy
be sure and check x.com
for post with access codes, they will be public but change from time to time.
A professional-grade strategy designed for **both LONG and SHORT positions**, optimized for ES! Perpetual on the 10-minute timeframe. This dual-direction system is engineered with institutional logic, multi-tier take-profit mechanics, and smart market filters.
---
🧠 Core Features:
• Automatic LONG & SHORT entries
• TP1–TP4 system with realistic partial exits (`strategy.exit` with `qty_percent`)
• Dynamic Stop-Loss with optional Break-Even & Trailing Stop
• Supply & Demand Zone visual mapping
• Trend Pressure + Volatility + Market Session filters
• Institutional session alignment (e.g. New York open/highs)
• Visual overlays for trade clarity
• Real-time trade panel with all key metrics
---
📊 Stats & Filters:
• Win-rate filter (default 82%)
• Trend bias (Bullish, Bearish, Trending, Ranging)
• Market session awareness (Asia, London, New York)
• Volatility detection to avoid low-momentum trades
---
📍 Best For:
• Scalping & Swing Trading
• Smart Money/ICT/SMC traders
• Realistic Risk-Reward management
• Advanced discretionary or semi-automated strategies
---
⚙️ Works on: `S&P, GOLD,SILVER,STOCKS, Crypto`
🕒 Timeframe: `10m` (optimized)
📈 Platform: TradingView Pro+ or Premium recommended
---
🎁 Included:
• Script logic with visual interface
• Entry/Exit mechanics
• Demand/Supply mapping
• Alerts-ready
Nice Trade Dashboard With All Details You need for a successful trade
lbqzhsjhknztbrzctule.supabase.co
Trend and Session Dashboard
lbqzhsjhknztbrzctule.supabase.co
Custom Session Settings
lbqzhsjhknztbrzctule.supabase.co
Many Filters to customize your strategy
lbqzhsjhknztbrzctule.supabase.co
Realtime Strategy Results with trades Built in
lbqzhsjhknztbrzctule.supabase.co
Get Access Today
Store 👇
frameworx.fun
Alpha Group with membership benefits that include all indicator and alpha access 👇
Bridge3Labos bridge3labs.io
FrameWorx Family WIP Crypto Alpha Analytics Site 👇
FrameWorx Crypto Analytics frameworx.site
Built by @famework.fun 🔧
Pin Bar Reversal StrategyStrategy: Pin Bar Reversal with Trend Filter
One effective high-probability setup is a Pin Bar reversal in the direction of the larger trend. A pin bar is a candlestick with a tiny body and a long wick, signaling a sharp rejection of price
By itself, a pin bar often marks a potential reversal, but not all pin bars lead to profitable moves. To boost reliability, this strategy trades pin bars only when they align with the prevailing trend – for example, taking a bullish pin bar while the market is in an uptrend, or a bearish pin bar in a downtrend. The trend bias can be determined by a long-term moving average or higher timeframe analysis.
Why it works: In an uptrend, a bullish pin bar after a pullback often indicates that sellers tried to push price down but failed, and buyers are resuming control. Filtering for pin bars near key support or moving averages further improves odds of success. This aligns the entry with both a strong price pattern and the dominant market direction, yielding a higher win rate. The pin bar’s own structure provides natural levels for stop and target placement, keeping risk management straightforward.
Example Setup:
USDCHF - 4 Hour Chart
Trend SMA 12
Max Body - 34
Min Wick - 66
ATR -15
ATR Stop Loss Multiplier - 2.3
ATR Take Profit Multiplier - 2.9
Minimum ATR to Enter - 0.0025
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system.
✅ When to Use This Strategy
• Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W).
• Best used on uptrending assets like Gold.
• Designed for swing trading – holding trades from a few days to weeks.
📊 How It Works
1. Find the Trend
We only want to trade in the direction of the trend.
• The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend.
• If the price is above the 200 EMA, we consider it an uptrend and allow long trades.
2. Identify Breakout Levels
• The strategy detects recent high and low pivot points to draw Fibonacci extension levels.
• It focuses on the 1.618 Fibonacci level, which is often a target in strong trends.
• When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy.
3. Enter a Trade
• The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA).
4. Manage Risk Automatically
• The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops.
• It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks.
⚠️ Important Notes
• 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD).
• 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
PRO Trading Averaging Beta(v1)Adaptive Position Scaling
Automatically increases position size during pullbacks using exponential volume scaling (1x, 2x, 4x, etc.). This reduces average entry cost and accelerates breakeven when price reverses.
Multi-Timeframe Confirmation
All indicators operate on a higher timeframe (120 minutes), providing:
Noise-filtered signals
Stronger trend alignment
Reduced false entries
Triple-Layer Entry Logic
Requires simultaneous confluence of:
Custom Bollinger Band penetration
RSI oversold filter (above critical threshold)
Golden cross confirmation (fast MA > slow MA)
Volatility assessment via ATR
Intelligent Exit System
Position closure triggers when either:
Fixed profit target (% of account) is reached
Technical boundary (upper Bollinger Band) is touched
⚙️ Core Mechanics:
graph LR
A --> B
B --> C{Initial Entry: 1% capital}
C --> D
D -->|Yes| E
D -->|No| F
E --> G{Max Averaging Levels?}
G -->|No| D
G -->|Yes| H
F --> I
📊 Implementation Guide:
Capital Configuration
Set initial_capital to your actual account size
Calculate base contract size:
(Account Size × 0.01) / (Instrument Price × Point Value)
Example: $10,000 account → 0.01 BTC futures contracts
Pyramiding Structure
Volume progression per averaging level:
Level 1: 1× (Base volume)
Level 2: 2×
Level 3: 4×
Level 4: 8×
Level 5: 16×
Level 6: 32×
(Max 6 levels configurable in strategy settings)
Custom Entry Variations
Alternative approach for swing captures:
// Enter only at 3rd averaging with 5% capital
if averaging_condition and strategy.opentrades == 2
strategy.entry("SwingEntry", strategy.long, qty=base_order_size*5)
Risk Management Protocol
No traditional stop-loss (replaced by averaging)
Break-even trigger: Manually move to breakeven at +0.5% profit
Max exposure: Capped at 6 averaging levels
Commissions: Pre-configured at 0.1% per trade
⚠️ Critical Risk Disclosures:
"Past Performance ≠ Future Results"
Historical optimization requires continuous forward testing ("Walk Forward" in TV).
Pyramiding Hazards
Exponential volume growth demands:
Minimum 20% free margin buffer
High liquidity instruments (spread < 0.5% of ATR)
Strict per-level risk calculation
Market Regime Dependence
Peak efficiency during:
Strong trends with 2-4% retracements
Assets with ATR > 1.5% of daily range
Avoid ranging/low-volatility conditions
💡 Pro Usage Recommendations:
Position Sizing Formula
For futures: Contracts = (Capital × Risk %) / (Entry Price × Point Value × Stop Distance)
Profit Protection
Close 50% position at 50% profit target, trail remainder
Event Safety
Disable averaging during:
High-impact news events
Exchange outages
Abnormal volume spikes
pie
title Risk Allocation per Level
“First Entry” : 12
“Level 2” : 18
“Level 3” : 25
“Level 4” : 45
ESSENTIAL: This strategy demands strict discipline. Terminate averaging when price action deviates from expected patterns. Always maintain reserve capital exceeding maximum drawdown requirements. Regularly validate strategy performance against current market dynamics.
🔥 Уникальные особенности и ценность:
Адаптивное усреднение
Стратегия автоматически увеличивает позицию при движении против вас, используя экспоненциальное наращивание объема (1x, 2x, 4x и т.д.). Это снижает среднюю цену входа и ускоряет выход в прибыль при развороте.
Мультитаймфреймная фильтрация
Все индикаторы работают на старшем таймфрейме (120 минут), что:
Фильтрует рыночный шум
Обеспечивает более надежные сигналы
Синхронизируется с глобальным трендом
Комбинированный триггер входа
Для активации требуется одновременное выполнение 4 условий:
Пробитие кастомной полосы Боллинджера
Подтверждение тренда (быстрая MA > медленной MA)
Контроль перепроданности (RSI выше критического уровня)
Фильтр волатильности (ATR)
Двойной механизм выхода
Закрытие позиций происходит при:
Достижении целевого уровня прибыли (% от депозита)
Техническом сигнале (касание верхней полосы Боллинджера)
⚙️ Как работает стратегия:
graph TD
A --> B
B --> C{Первый вход: 1% депозита}
C --> D
D -->|Да| E
D -->|Нет| F
E --> G{Достигнут лимит усреднений?}
G -->|Нет| D
G -->|Да| H
F --> I
📊 Как пользоваться:
Стартовые настройки
Base Order Size: Стартовый объем = 1% депозита
(Пример: при $10 000 депозита = 0.01 контракта)
initial_capital: Укажите ваш реальный депозит
Правила пирамидинга
Объем наращивается по схеме:
Уровень 1: 1x (базовый объем)
Уровень 2: 2x
Уровень 3: 4x
Уровень 4: 8x
Уровень 5: 16x
Уровень 6: 32x
РЕКОМЕНДУЕТСЯ Максимум 6 уровней усреднения (настраивается в pyramiding)
Кастомизация входов
Пример модификации для агрессивной тактики:
// Вход только на 3-м усреднении с 5% депозита
if averaging_condition and strategy.opentrades == 2
strategy.entry("BuyAggressive", strategy.long, qty=base_order_size*5)
Можно поставить параметр пираммидинг 1 и получать больше сигналов на младших тайм фреймах
Управление рисками
Стоп-лосс: Не используется (заменен усреднением)
Перевод в безубыток: Активируйте вручную при +0.5%
Максимальная просадка: Рекомендуется Ограничивать 6 уровнями усреднения
Комиссии: Учтены (0.1% от объема сделки)
Критические предупреждения:
"Вчера ≠ Сегодня"
Стратегия оптимизирована под историческую волатильность. Регулярно тестируйте на новых данных (режим "Перед тест" в TV).
Опасность усреднения
Экспоненциальный рост объема требует:
Глубокого расчета риска на уровень
Минимум 20% свободного маржи
Ликвидный инструмент (спред < 0.5% от ATR)
Рыночные условия
Максимальная эффективность в:
Трендовых рынках с коррекциями 2-4%
Инструментах с ATR > дневного диапазона 1.5%
💡 Рекомендации по использованию:
Для фьючерсов: Рассчитайте контракты через (капитал * 0.01) / (цена * пункт_стоимости)
При 50% достижении цели прибыли - закройте 50% позиции
Отключайте усреднение при выходе макро-новостей
pie
title Распределение риска
"Первый вход" : 10
"Уровень 2" : 20
"Уровень 3" : 30
"Уровень 4" : 40
ВАЖНО: Эта стратегия требует дисциплины! Прекращайте усреднение при отклонении рынка от исторических паттернов. Всегда имейте резервный капитал для экстренных случаев.
Grid TLong V1The “Grid TLong V1” strategy is based on the classic Grid strategy, but in the mode of buying and selling in favor of the trend and only on Long. This allows to take advantage of large uptrend movements to maximize profits in bull markets. For this reason, excessively sideways or bearish markets may not be very conducive to this strategy.
Like our Grid strategies in favor of the trend, you can enter and exit with the balance with controlled risk, as the distance between each grid functions as a natural and adaptable stop loss and take profit. What differentiates it from bidirectional strategies is that Short uses a minimum amount of follow-through, so that the percentage distance between the grids is maintained.
In this version of the script the entries and exits can be chosen at market or limit , and are based on the profit or loss of the current position, not on the percentage change in price.
The user may also notice that the strategy setup is risk-controlled, because it risks 5% on each trade, has a fairly standard commission and modest initial capital, all in order to protect the strategy user from unrealistic results.
As with all strategies, it is strongly recommended to optimize the parameters for the strategy to be effective for each asset and for each time frame.
Random State Machine Strategy📌 Random State Machine Strategy (Educational)
This strategy showcases a randomized entry model driven by a finite state machine, integrated with user-defined exit controls and a full-featured moving average filter.
🧠 Trade Entry Logic
Entries occur only when:
A random trigger occurs (~5% probability per bar)
The state machine accepts a new transition (sm.step())
Price is:
Above the selected MA for long entries
Below the selected MA for short entries
This ensures that entries are both stochastically driven and trend-aligned, avoiding frequent or arbitrary trades.
⚙️ How It Works
Randomized Triggers
A pseudo-random generator (seeded with time and volume) attempts to trigger state transitions.
Finite State Machine
Transitions are managed using the StateMachine from robbatt/lib_statemachine — credit to @robbatt for the modular FSM design.
Controlled Reset
The state machine resets every N bars (default: 100) if at least two transitions have occurred. This prevents stale or locked states.
Backtest Range
Define a specific test window using Start and End Date inputs.
Risk & Exits
Specify risk in points and a target risk/reward ratio. TP is auto-computed. Timed and MA-based exits can be toggled.
🧪 How to Use
Enable Long or Short trades
Choose your Moving Average type and length
Set Risk per trade and R/R ratio
Toggle TP/SL, timed exit, or MA cross exit
Adjust the State Reset Interval to suit your signal frequency
📘 Notes
Educational use only — not financial advice
Random logic is used to model structure, not predict movement
Thanks to @robbatt for the lib_statemachine integration
Strategy Builder With IndicatorsThis strategy script is designed for traders who enjoy building systems using multiple indicators.
Please note: This script does not include any built-in indicators. Instead, it works by referencing the plot outputs of the indicators you’ve already added to your chart.
For example, if you add a MACD and an ATR indicator to your chart, you can assign their plot values as inputs in the settings panel of this strategy.
• MACD as a trigger
• ATR as a filter
How Filters Work
Filters check whether certain conditions are met before a trade can be opened. For instance, if you set a filter like ATR > 30, then no trade will be executed unless that condition is true — even if the trigger fires.
All filters are linked, meaning every active filter must be satisfied for a trade to occur.
How Triggers Work
Triggers are what actually fire a trade signal — such as a moving average crossover or RSI breaking above a specific level. Unlike filters, triggers are independent. Only one active trigger needs to be true for the trade to execute.
Thanks to its modular structure, this strategy can be used with any indicator of your choice.
⸻
Risk Management Features
In the settings, you’ll find flexible options for:
• Stop Loss (SL)
• Trailing Stop Loss (TSL)
• Multi Take-Profit (TP)
These features enhance trade safety and let you tailor your risk management.
SL types available:
• Tick-based SL
• Percent-based SL
• ATR-based SL
Once you select your preferred SL type, you can fine-tune its distance using the offset field.
Trailing SL allows your stop to follow price as it moves in your favor — helping to lock in profits.
Multi-TP lets you take profits at two different levels, helping you secure gains while leaving room for extended moves.
Breakeven option is also available to automatically move your SL to entry after reaching a profit threshold.
⸻
How to Build a Solid Strategy
Let’s break down a good setup into three key components:
1. Trend Filter
Avoid trading against the trend — that’s like swimming against the current.
Use a filter like:
• Supertrend
• Momentum indicators
• Candlestick bias, etc.
Example: In this case, I used Supertrend and filtered for trades only if the price is above the uptrend line.
2. Trigger Condition
Once we confirm the trend is on our side, we need a trigger to execute at the right moment. This can be:
• RSI cross
• Candlestick patterns
• Trendline breaks
• Moving average crossovers, etc.
Example: I used RSI crossing above 50 as the entry trigger.
3. Risk Management
Even in the right trend at the right time — anything can happen. That’s why you should always define Stop Loss and Take Profit levels.
⸻
And there you have it! Your strategy is ready to backtest, refine, and deploy with alerts for live trading.
Questions or suggestions? Feel free to reach out
Volatility Bias ModelVolatility Bias Model
Overview
Volatility Bias Model is a purely mathematical, non-indicator-based trading system that detects directional probability shifts during high volatility market phases. Rather than relying on classic tools like RSI or moving averages, this strategy uses raw price behavior and clustering logic to determine potential breakout direction based on recent market bias.
How It Works
Over a defined lookback window (default 10 bars), the strategy counts how many candles closed in the same direction (i.e., bullish or bearish).
Simultaneously, it calculates the price range during that window.
If volatility is above a minimum threshold and a clear directional bias is detected (e.g., >60% of closes are bullish), a trade is opened in the direction of that bias.
This approach assumes that when high volatility is coupled with directional closing consistency, the market is probabilistically more likely to continue in that direction.
ATR-based stop-loss and take-profit levels are applied, and trades auto-exit after 20 bars if targets are not hit.
Key Features
- 100% non-indicator-based logic
- Statistically-driven directional bias detection
- Works across all timeframes (1H, 4H, 1D)
- ATR-based risk management
- No pyramiding, slippage and commissions included
- Compatible with real-world backtesting conditions
Realism & Assumptions
To make this strategy more aligned with actual trading environments, it includes 0.05% commission per trade and a 1-point slippage on every entry and exit.
Additionally, position sizing is set at 10% of a $10,000 starting capital, and no pyramiding is allowed.
These assumptions help avoid unrealistic backtest results and make the performance metrics more representative of live conditions.
Parameter Explanation
Bias Window (10 bars): Number of past candles used to evaluate directional closings
Bias Threshold (0.60): Required ratio of same-direction candles to consider a bias valid
Minimum Range (1.5%): Ensures the market is volatile enough to avoid noise
ATR Length (14): Used to dynamically define stop-loss and target zones
Risk-Reward Ratio (2.0): Take-profit is set at twice the stop-loss distance
Max Holding Bars (20): Trades are closed automatically after 20 bars to prevent stagnation
Originality Note
Unlike common strategies based on oscillators or moving averages, this script is built on pure statistical inference. It models the market as a probabilistic process and identifies directional intent based on historical closing behavior, filtered by volatility. This makes it a non-linear, adaptive model grounded in real-world price structure — not traditional technical indicators.
Disclaimer
This strategy is for educational and experimental purposes only. It does not constitute financial advice. Always perform your own analysis and test thoroughly before applying with real capital.
Algoway V4.2📌 Algoway V4.2 — Multi-layered Strategy Powered by ADX, MACD & PSO
Overview
Algoway V4.2 is a layered algorithmic strategy designed for volatility-rich assets like cryptocurrencies. While some core components (such as PSO, MACD, and ADX oscillators) are adapted from known indicator models, the original logic, state tracking, and Candle Strength Oscillator (CSO) are fully custom-developed.
This strategy is not a simple combination of tools — it implements a conditional entry-exit logic system based on ADX zone transitions, momentum structure, and MACD/PSO signal synchronization, enhanced by custom-built CSO filtering.
🧠 Key Modules and How They Work Together
PSO (Premium Stochastic Oscillator)
Used to confirm local oversold/overbought pressure. Acts as a directional filter.
MACD (Normalized)
Volatility-normalized MACD values allow consistent signal detection even on volatile pairs. It triggers entries when momentum begins shifting.
ADX Zonal Logic
Divides the market into Range / MidRange / Trend Peak zones. Entries are allowed only under specific transitions — e.g., long entries only in yellow (low volatility) zones or in trend climax zones under certain pullbacks.
CSO (Candle Strength Oscillator) — Custom Module
Designed to measure real candle momentum and price structure consistency. It avoids false breakouts and filters trend fatigue.
🔁 How Logic Works
Strategy maintains state variables to track entry type and zone.
Exit conditions depend on the entry origin: entries from "Range" exit in "Peak", while "Peak" entries exit during pullbacks or mid-strength trend reversals.
Additional logic prevents entries when signals are not aligned across modules, minimizing noise.
Optional CSO module acts as a final microstructure confirmation before executing MACD-based midpoint entries.
📊 Example Parameters (for 5M crypto scalping)
Each module is tuned to respond to 5-minute crypto volatility:
Stochastic: fast response, tight thresholds
MACD: shortened EMAs, normalized
ADX: traditional smoothing, custom thresholds for zone switching
CSO: candle-based dynamic filter with visual zone mapping
🧪 Conclusion
Algoway V4.2 is not a script merger — it is a custom logic engine using familiar technical components but governed by a proprietary decision model, with additional filters and dynamic variable tracking.
It’s suitable for scalping or swing setups, and the internal logic is optimized for real trading conditions, not just visual backtests.
Three Inside Breakout (With 2:1 TP/SL + VWAP Filter)Buy only when the 3-candle breakout pattern is above VWAP.
Sell only when the pattern is below VWAP.
Auto-calculated TP and SL lines drawn on the chart.
VWAP plotted clearly for visual confirmation.
Antony.N4A -NQ ORB Quartile Str v6.3Antony.N4A – NQ ORB Quartile Strategy v6.3
A precision-engineered intraday breakout system built for the Nasdaq futures market, combining the Opening Range Breakout (ORB) logic with dynamic standard deviation targets, structural filters, and multi-layer risk management.
🧠 Key Features
Opening Range Breakout (ORB):
Automatically defines a breakout window (default: 09:30–09:45) and triggers entries when price breaks the high or low of that range.
Standard Deviation Profit Targets:
Supports SD0.5, SD1.0, SD1.5, and SD2.0 targets relative to the ORB range.
EMA Filtering (200-period):
Filters trades based on EMA direction and price position to validate breakout direction and avoid false entries.
Range Filtering:
Detects directional bias and volatility trends using smoothed range logic.
Momentum Triggering:
Validates breakout momentum and allows entries when directional momentum is positive and increasing.
⚙️ User Inputs
ORB Settings: Timeframe, session, and timezone customization
Entry Window: Define when trades are allowed to trigger
Day Filters: Enable/disable trading by weekday
SD Targets: Configure exit % and active levels (SD0.5 – SD2.0)
EMA Filter & Sensitivity
Cross Filter (Anti-chop logic)
Range Filter Parameters
Visual Toggles: ORB range, SD levels, EMA clouds
🎯 Trade Management Rules
Entry:
Triggered at the close of a 5-minute candle confirming a breakout of the ORB range.
Stop Loss:
Defined by structural invalidation (quartile boundaries & mid-range buffers).
Take Profit Strategy:
75% closed at SD1.0 level
Remaining 25% trailed to further SD2 target
SL is moved to breakeven after partial exit
Execution Controls:
No pyramiding
No re-entries (cooldown enforced)
🔧 Trading Modes
✅ Safe Mode
EMA Filter: Enabled
EMA Sensitivity: 19
Range Filter: Disabled
Ideal for conservative setups and reduced noise environments
🔥 Aggressive Mode
EMA Filter: Enabled
EMA Sensitivity: 5
Range Filter: Disabled
Suited for high-frequency setups and faster breakouts
📊 Backtest Performance (7-Month Sample)
Safe Mode:
Win Rate: 66%
Total Trades: 29
Net PnL: +21.79R (~$4,357 with R = $200)
Max Red Days: 3
Max Drawdown: -$663
Best Month: +9R, Worst Month: -2R
Aggressive Mode:
Win Rate: 63%
Total Trades: 52
Net PnL: +30R (~$6,080)
Max Red Days: 6
Max Drawdown: -$1,357
Best Month: +12R, Worst Month: -3.2R
👨💻 Developed by Antony.N4A
This tool is crafted for strategic intraday traders, system developers, and backtesters.
For access, customization, or licensing options, contact the developer directly.
Protected script. Redistribution or reuse without permission is prohibited.
Price Statistical Strategy-Z Score V 1.01
Price Statistical Strategy – Z Score V 1.01
Overview
A technical breakdown of the logic and components of the “Price Statistical Strategy – Z Score V 1.01”.
This script implements a smoothed Z-Score crossover mechanism applied to the closing price to detect potential statistical deviations from local price mean. The strategy operates solely on price data (close) and includes signal spacing control and momentum-based candle filters. No volume-based or trend-detection components are included.
Core Methodology
The strategy is built on the statistical concept of Z-Score, which quantifies how far a value (closing price) is from its recent average, normalized by standard deviation. Two moving averages of the raw Z-Score are calculated: a short-term and a long-term smoothed version. The crossover between them generates long entries and exits.
Signal Conditions
Entry Condition:
A long position is opened when the short-term smoothed Z-Score crosses above the long-term smoothed Z-Score, and additional entry conditions are met.
Exit Condition:
The position is closed when the short-term Z-Score crosses below the long-term Z-Score, provided the exit conditions allow.
Signal Gapping:
A minimum number of bars (Bars gap between identical signals) must pass between repeated entry or exit signals to reduce noise.
Momentum Filter:
Entries are prevented during sequences of three or more consecutively bullish candles, and exits are prevented during three or more consecutively bearish candles.
Z-Score Function
The Z-Score is calculated as:
Z = (Close - SMA(Close, N)) / STDEV(Close, N)
Where N is the base period selected by the user.
Input Parameters
Enable Smoothed Z-Score Strategy
Enables or disables the Z-Score strategy logic. When disabled, no trades are executed.
Z-Score Base Period
Defines the number of bars used to calculate the simple moving average and standard deviation for the Z-Score. This value affects how responsive the raw Z-Score is to price changes.
Short-Term Smoothing
Sets the smoothing window for the short-term Z-Score. Higher values produce smoother short-term signals, reducing sensitivity to short-term volatility.
Long-Term Smoothing
Sets the smoothing window for the long-term Z-Score, which acts as the reference line in the crossover logic.
Bars gap between identical signals
Minimum number of bars that must pass before another signal of the same type (entry or exit) is allowed. This helps reduce redundant or overly frequent signals.
Trade Visualization Table
A table positioned at the bottom-right displays live PnL for open trades:
Entry Price
Unrealized PnL %
Text colors adapt based on whether unrealized profit is positive, negative, or neutral.
Technical Notes
This strategy uses only close prices — no trend indicators or volume components are applied.
All calculations are based on simple moving averages and standard deviation over user-defined windows.
Designed as a minimal, isolated Z-Score engine without confirmation filters or multi-factor triggers.
