50-Week High Entry / 40-Week Low Exit StrategyThis is a simple long term strategy
Entry condition : You will enter the market when the stock’s current high exceeds its 50-week high. This condition enables you to identify upward momentum and capitalize on potential price surges.
Exit condition
Conversely, you will exit the market when the stock’s current low drops below its 40-week low. This exit strategy helps protect your capital by ensuring you withdraw from losing positions before further declines in price occur.
This trading strategy relies on the Donchian Channel indicator to monitor the relevant 50-week high and 40-week low levels. Given that this is a weekly trading strategy, all backtesting will be conducted using weekly timeframes.
指標和策略
G-Bot+Overview:
G-Bot is an invite-only Pine Script tailored for traders seeking a precise, automated breakout strategy. This closed-source script integrates with 3Commas via API to execute trades seamlessly, combining classic indicators with proprietary logic to identify high-probability breakouts. G-Bot stands out by filtering market noise through a unique confluence of signals, offering adaptive risk management, and employing advanced alert deduplication to ensure reliable automation. Its purpose-built design delivers actionable signals for traders prioritizing consistency and efficiency in trending markets.
What It Does and How It Works:
G-Bot generates trade signals by evaluating four key market dimensions—trend, price action, momentum, and volume—on each 60-minute bar. The script’s core components and their roles are:
Trend Detection (EMAs): Confirms trend direction by checking if the 5-period EMA is above (bullish) or below (bearish) the 6-period EMA, with the price positioned accordingly (above the 5-period EMA for longs, below for shorts). The tight EMA pairing is optimized for the 60-minute timeframe to capture sustained trends while minimizing lag.
Price Action Trigger (Swing Highs/Lows): Identifies breakouts when the price crosses above the previous swing high (for longs) or below the previous swing low (for shorts), using a period lookback to focus on recent price pivots. This ensures entries align with significant market moves.
Momentum Filter (RSI): Validates breakouts by requiring RSI to fall within moderated ranges. These ranges avoid overbought/oversold extremes, prioritizing entries with balanced momentum to enhance trade reliability.
Volume Confirmation (3-period SMA): Requires volume to exceed its 3-period SMA, confirming that breakouts are driven by strong market participation, reducing the risk of false moves.
Risk Management (14-period ATR): Calculates stop-loss distances (ATR) and trailing stops (ATR and ATR-point offset) to align trades with current volatility, protecting capital and locking in profits.
These components work together to create a disciplined system: the EMAs establish trend context, swing breaks confirm price momentum, RSI filters for optimal entry timing, and volume ensures market conviction. This confluence minimizes false signals, a critical advantage for hourly breakout trading.
Why It’s Original and Valuable:
G-Bot’s value lies in its meticulous integration of standard indicators into a non-standard, automation-focused system. Its unique features include:
Curated Signal Confluence: Unlike generic breakout scripts that rely on single-indicator triggers (e.g., EMA crossovers), G-Bot requires simultaneous alignment of trend, price action, momentum, and volume. This multi-layered approach, reduces noise and prioritizes high-conviction setups, addressing a common flaw in simpler strategies.
Proprietary Alert Deduplication: G-Bot employs a custom mechanism to prevent redundant alerts, using a 1-second minimum gap and bar-index tracking. This ensures signals are actionable and compatible with 3Commas’ high-frequency automation, a feature not found in typical Pine Scripts.
Adaptive Position Sizing: The script calculates trade sizes based on user inputs (1-5% equity risk, max USD cap, equity threshold) and ATR-derived stop distances, ensuring positions reflect both account size and market conditions. This dynamic approach enhances risk control beyond static sizing methods.
3Commas API Optimization: G-Bot generates JSON-formatted alerts with precise position sizing and exit instructions, enabling seamless integration with 3Commas bots. This level of automation, paired with detailed Telegram alerts for monitoring, streamlines the trading process.
Visual Clarity: On-chart visuals—green triangles for long entries, red triangles for shorts, orange/teal lines for swing levels, yellow circles for price crosses—provide immediate insight into signal triggers, allowing traders to validate setups without accessing the code.
G-Bot is not a repackaging of public code but a specialized tool that transforms familiar indicators into a robust, automated breakout system. Its originality lies in the synergy of its components, proprietary alert handling, and trader-centric automation, justifying its invite-only status.
How to Use:
Setup: Apply G-Bot to BITGET’s BTCUSDT.P chart on a 60-minute timeframe.
3Commas Configuration: Enter your 3Commas API Secret Key and Bot UUID in the script’s input settings to enable webhook integration.
Risk Parameters: Adjust Risk % (1-5%), Max Risk ($), and Equity Threshold ($) to align position sizing with your account and risk tolerance.
Webhook Setup: Configure 3Commas to receive JSON alerts for automated trade execution. Optionally, connect Telegram for detailed signal notifications.
Monitoring: Use on-chart visuals to track signals:
Green triangles (below bars) mark long entries; red triangles (above bars) mark shorts.
Orange lines show swing highs; teal lines show swing lows.
Yellow circles indicate price crosses; purple crosses highlight volume confirmation.
Testing: Backtest G-Bot in a demo environment to validate performance and ensure compatibility with your trading strategy.
Setup Notes: G-Bot is a single, self-contained script for BTCUSDT.P on 60-minute charts, with all features accessible via user inputs. No additional scripts or passwords are required, ensuring compliance with TradingView’s single-publication rule.
Disclaimer: Trading involves significant risks, and past performance is not indicative of future results. Thoroughly test G-Bot in a demo environment before deploying it in live markets.
Full setup support will be provided
Saf EMA Kesişim Stratejisi + AlarmGives buy and sell signals at important intersections. MACD and RSI support .try in all time zones
Peak Trade V1.1This strategy is designed to generate buy and sell signals by examining market movements with technical analysis methods. It analyzes price movements through various technical indicators such as trend structure, volume and volatility. The strategy aims to detect both the continuation of the trend and possible turning points.
The strategy automatically gives buy or sell signals under appropriate conditions in line with the algorithms it determines. These signals are especially suitable for short and medium-term transactions, but users can also use them in different time frames according to their own preferences.
Users can personalize various parameters (e.g. indicator periods, entry/exit points, risk ratio, etc.) through the strategy's settings. Thus, they can optimize them according to their own trading style and market conditions.
Important Note: This strategy has been tested on historical data, but like every strategy, it does not guarantee future results. Please always do your own analysis and do not neglect risk management. Be careful when making your investment decisions.
VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL PlotsHere’s a quick user-guide to get you up and running with your “VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL Plots” script in TradingView:
⸻
1. Installing the Script
1. Open TradingView, go to Pine Editor (bottom panel).
2. Paste in your full Pine-v6 code and hit Add to chart.
3. Save it (“Save as…”): give it a memorable name (e.g. “VWAP Breakout+EMAs”).
⸻
2. Configuring Your Inputs
Once it’s on the chart, click the ⚙️ Settings icon to tune:
Setting Default What it does
ATR Length 14 Period for average true range (volatility measure)
ATR Multiplier for Stop 1.5 How many ATRs away your stop-loss sits
TP1 / TP2 Multipliers (ATR) 1.0 / 2.0 Distance of TP1 and TP2 in ATR multiples
Show VWAP / EMAs On Toggles the blue VWAP line & EMAs (100/34/5)
Full Cycle Range Points 200 Height of the shaded “cycle zone”
Pivot Lookback 5 How many bars back to detect a pivot low
Round Number Step 500 Spacing of your dotted horizontal lines
Show TP/SL Labels On Toggles all the “ENTRY”, “TP1”, “TP2”, “STOP” tags
Feel free to adjust ATR multipliers and cycle-zone size based on the instrument’s typical range.
⸻
3. Reading the Signals
• Long Entry:
• Trigger: price crosses above VWAP
• You’ll see a green “Buy” tag at the low of the signal bar, plus an “ENTRY (Long)” label at the close.
• Stop is plotted as a red dashed line below (ATR × 1.5), and TP1/TP2 as teal and purple lines above.
• Short Entry:
• Trigger: price crosses below VWAP
• A red “Sell” tag appears at the high, with “ENTRY (Short)” at the close.
• Stop is the green line above; TP1/TP2 are dashed teal/purple lines below.
⸻
4. Full Cycle Zone
Whenever a new pivot low is detected (using your Pivot Lookback), the script deletes the old box and draws a shaded yellow rectangle from that low up by “Full Cycle Range Points.”
• Use this to visualize the “maximum expected swing” from your pivot.
• You can quickly see whether price is still traveling within a normal cycle or has overstretched.
⸻
5. Round-Number Levels
With Show Round Number Levels enabled, you’ll always get horizontal dotted lines at the nearest multiples of your “Round Number Step” (e.g. every 500 points).
• These often act as psychological support/resistance.
• Handy to see confluence with VWAP or cycle-zone edges.
⸻
6. Tips & Best-Practices
• Timeframes: Apply on any intraday chart (5 min, 15 min, H1…), but match your ATR length & cycle-points to the timeframe’s typical range.
• Backtest first: Use the Strategy Tester tab to review performance, tweak ATR multipliers or cycle size, then optimize.
• Combine with context: Don’t trade VWAP breakouts blindly—look for confluence (e.g. support/resistance zones, higher-timeframe trend).
• Label clutter: If too many labels build up, you can toggle Show TP/SL Labels off and rely just on the lines.
⸻
That’s it! Once you’ve added it to your chart and dialed in the inputs, your entries, exits, cycle ranges, and key levels will all be plotted automatically. Feel free to experiment with the ATR multipliers and cycle-zone size until it fits your instrument’s personality. Happy trading!
extradestrategy.V3.BINACEBINANCE:BTCUSDT
Timeframes: M1 – M15
Main Indicators:
Moving Average (MA): Identifies short- to mid-term trend direction
Average True Range (ATR): Measures market volatility and adjusts SL/TP accordingly
Entry & Exit Rules
Entry:
Buy positions are opened when the price is above the MA and the ATR shows potential for significant movement.
Sell positions are opened when the price is below the MA and ATR indicates sufficient volatility.
Exit:
SL and TP are flexibly adjusted based on ATR or the latest market structure.
Trades may be closed early if a trend reversal is signaled by MA movement.
Risk Management
Risk per trade is limited to 1% of the total capital to control drawdown and ensure consistent account growth.
No hedging is used; the system operates on a single-directional approach with clear trend conviction.
Let me know if you’d like help creating a TradingView Pine Script or performance journal template based on this strategy.
EMA 10/20/50 Alignment Strategy### 📘 **Strategy Name**
**EMA 10/20/50 Trend Alignment Strategy**
---
### 📝 **Description (for Publishing)**
This strategy uses the alignment of Exponential Moving Averages (EMAs) to identify strong bullish trends. It enters a long position when the short-term EMA is above the mid-term EMA, which is above the long-term EMA — a classic sign of trend strength.
#### 🔹 Entry Criteria:
* **EMA10 > EMA20 > EMA50**: A bullish alignment that signals momentum in an upward direction.
* The strategy enters a **long position** when this alignment occurs.
#### 🔹 Exit Criteria:
* The long position is closed when the EMA alignment breaks (i.e., the trend weakens or reverses).
#### 🔹 Additional Features:
* Includes a **date range filter**, allowing you to backtest the strategy over a specific period.
* Uses **100% of available capital** for each trade (position size auto-scales with account balance).
* No short positions, stop loss, or take profit are applied — this is a trend-following strategy meant to ride bullish moves.
---
### ✅ Best For:
* Traders looking for a **simple, trend-based entry system**
* Testing price momentum strategies during specific market regimes
* Visualizing EMA stacking patterns in historical data
Backtest with Date Range### 📝 Strategy Description for Publishing
**Title**: SMA Crossover Strategy with Custom Date Range
**Description**:
This strategy implements a classic SMA (Simple Moving Average) crossover system, enhanced with a custom backtesting window defined by start and end dates.
It generates:
* **Buy signals** when the 10-period SMA crosses above the 50-period SMA (bullish momentum).
* **Sell signals** when the 10-period SMA crosses below the 50-period SMA (bearish momentum).
Key features:
* Trades only occur within a user-defined date range, allowing precise control over the backtest period.
* Uses 100% of available capital per trade by default.
* No leverage or stop loss/take profit is applied—pure trend-following logic.
Ideal for users looking to validate moving average-based strategies during specific market conditions or events.
Grid Tendence Long V1The “Grid Tendence Long V1” strategy is based on the classic Grid strategy, only in this case the entries and exits are made in favor of the trend and only in Long. This allows to take advantage of large trend movements to maximize profits in bull markets. Like our Grid strategies in favor of the trend, you can enter and exit with the entire balance with a controlled risk, because the distance between each grid works as a natural and adaptable stop loss and take profit. What makes it different from bidirectional strategies, is that a minimum amount of follow-through is used in Short, 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 of the price.
Like all strategies, it is recommended to optimize the parameters so that the strategy is effective for each asset and for each time frame.
Smart Fib StrategySmart Fibonacci Strategy
This advanced trading strategy combines the power of adaptive SMA entries with Fibonacci-based exit levels to create a comprehensive trend-following system that self-optimizes based on historical market conditions. Credit goes to Julien_Eche who created the "Best SMA Finder" which received an Editors Pick award.
Strategy Overview
The Smart Fibonacci Strategy employs a two-pronged approach to trading:
1. Intelligent Entries: Uses a self-optimizing SMA (Simple Moving Average) to identify optimal entry points. The system automatically tests multiple SMA lengths against historical data to determine which period provides the most robust trading signals.
2. Fibonacci-Based Exits: Implements ATR-adjusted Fibonacci bands to establish precise exit targets, with risk-management options ranging from conservative to aggressive.
This dual methodology creates a balanced system that adapts to changing market conditions while providing clear visual reference points for trade management.
Key Features
- **Self-Optimizing Entries**: Automatically calculates the most profitable SMA length based on historical performance
- **Adjustable Risk Parameters**: Choose between low-risk and high-risk exit targets
- **Directional Flexibility**: Trade long-only, short-only, or both directions
- **Visualization Tools**: Customizable display of entry lines and exit bands
- **Performance Statistics**: Comprehensive stats table showing key metrics
- **Smoothing Option**: Reduces noise in the Fibonacci bands for cleaner signals
Trading Rules
Entry Signals
- **Long Entry**: When price crosses above the blue center line (optimal SMA)
- **Short Entry**: When price crosses below the blue center line (optimal SMA)
### Exit Levels
- **Low Risk Option**: Exit at the first Fibonacci band (1.618 * ATR)
- **High Risk Option**: Exit at the second Fibonacci band (2.618 * ATR)
Strategy Parameters
Display Settings
- Toggle visibility of the stats table and indicator components
Strategy Settings
- Select trading direction (long, short, or both)
- Choose exit method (low risk or high risk)
- Set minimum trades threshold for SMA optimization
SMA Settings
- Option to use auto-optimized or fixed-length SMA
- Customize SMA length when using fixed option
Fibonacci Settings
- Adjust ATR period and SMA basis for Fibonacci bands
- Enable/disable smoothing function
- Customize Fibonacci ratio multipliers
Appearance Settings
- Modify colors, line widths, and transparency
Optimization Methodology
The strategy employs a sophisticated optimization algorithm that:
1. Tests multiple SMA lengths against historical data
2. Evaluates performance based on trade count, profit factor, and win rate
3. Calculates a "robustness score" that balances profitability with statistical significance
4. Selects the SMA length with the highest robustness score
This ensures that the strategy's entry signals are continuously adapting to the most effective parameters for current market conditions.
Risk Management
Position sizing is fixed at $2,000 per trade, allowing for consistent exposure across all trading setups. The Fibonacci-based exit system provides two distinct risk management approaches:
- **Conservative Approach**: Using the first Fibonacci band for exits produces more frequent but smaller wins
- **Aggressive Approach**: Using the second Fibonacci band allows for larger potential gains at the cost of increased volatility
Ideal Usage
This strategy is best suited for:
- Trending markets with clear directional moves
- Timeframes from 4H to Daily for most balanced results
- Instruments with moderate volatility (stocks, forex, commodities)
Traders can further enhance performance by combining this strategy with broader market analysis to confirm the prevailing trend direction.
extradestrategy LITE VERSIONCRYPTO:BTCUSD FOREXCOM:EURUSD FOREXCOM:USOIL CRYPTO:BTCUSD CAPITALCOM:US500 OANDA:XAUUSD
Strategy Components
Instruments: BTC/USD, USOIL, US500
Timeframes: M1 – M15
Main Indicators:
Moving Average (MA): Identifies short- to mid-term trend direction
Average True Range (ATR): Measures market volatility and adjusts SL/TP accordingly
Entry & Exit Rules
Entry:
Buy positions are opened when the price is above the MA and the ATR shows potential for significant movement.
Sell positions are opened when the price is below the MA and ATR indicates sufficient volatility.
Exit:
SL and TP are flexibly adjusted based on ATR or the latest market structure.
Trades may be closed early if a trend reversal is signaled by MA movement.
Risk Management
Risk per trade is limited to 1% of the total capital to control drawdown and ensure consistent account growth.
No hedging is used; the system operates on a single-directional approach with clear trend conviction.
Let me know if you’d like help creating a TradingView Pine Script or performance journal template based on this strategy.
XAUUSD
US500
USOIL
EURUSD
BTCUSD
extradestrategy - Telegram Bot ReadyStrategy Components
Instruments: BTC/USD, USOIL, US500
Timeframes: M1 – M15
Main Indicators:
Moving Average (MA): Identifies short- to mid-term trend direction
Average True Range (ATR): Measures market volatility and adjusts SL/TP accordingly
Entry & Exit Rules
Entry:
Buy positions are opened when the price is above the MA and the ATR shows potential for significant movement.
Sell positions are opened when the price is below the MA and ATR indicates sufficient volatility.
Exit:
SL and TP are flexibly adjusted based on ATR or the latest market structure.
Trades may be closed early if a trend reversal is signaled by MA movement.
Risk Management
Risk per trade is limited to 1% of the total capital to control drawdown and ensure consistent account growth.
No hedging is used; the system operates on a single-directional approach with clear trend conviction.
Let me know if you’d like help creating a TradingView Pine Script or performance journal template based on this strategy. OANDA:XAUUSD CAPITALCOM:US500 FOREXCOM:USOIL FOREXCOM:EURUSD CRYPTO:BTCUSD
Final Fib Order Blocksfib levels
order block
volume based indicator
amazing indicator for precise entries
Breakout Core | by Solid#SignalsBreakout Core | by SolidSignals
General Overview
Breakout Core is an advanced breakout trading strategy designed for Bitcoin (BTC). Optimized for the unique market dynamics following the launch of BlackRock’s Spot ETFs in January 2024, it adapts to Bitcoin’s post-ETF volatility patterns. The strategy’s core strength lies in its low drawdown, achieved through a proprietary time-based signal-filtering algorithm that sets it apart from traditional breakout strategies. Breakout Core offers traders a reliable tool for navigating Bitcoin’s evolving market with reduced risk and enhanced precision.
Mechanisms
Breakout Core combines well-known indicators BB, EMAs, MAs with custom-tuned parameters to improve signal accuracy. Its unique feature is a proprietary time-filter algorithm that prioritizes high-probability breakout signals during specific high-volatility trading hours, derived from market analysis post-ETF launch. This algorithm minimizes false positives, particularly in volatile conditions, by integrating time-based volatility patterns with price action. The result is a robust strategy that optimizes entry and exit points for Bitcoin trading.
Objectives
Breakout Core aims to provide steady returns with controlled risk by targeting Bitcoin’s breakout patterns in the post-ETF market. Its low drawdown, achieved through extensive optimization and proprietary logic, makes it suitable for leverage trading (e.g., 3–5x leverage), balancing growth with capital protection. Tailored for BTC, the strategy equips traders with a precise tool to navigate Bitcoin’s transformed market dynamics.
Backtesting and Parameter Notes
Backtesting was performed using a $10,000 USDT account, risking up to 10% of equity per trade, including 0.06% commission fees and 2-tick slippage, aligned with standard exchange conditions. The strategy report details backtesting results from the launch of BlackRock’s Spot ETFs. These settings are the script’s defaults, ensuring transparency. Traders are encouraged to verify results using TradingView’s Deep Backtest feature to adapt to current market conditions.
Please note: Past performance does not guarantee future results.
Chart and Usage
The chart is clean and intuitive, displaying only Breakout Core’s buy and sell signals for easy interpretation. Parameters are pre-optimized for immediate use, with adjustable Take Profit (TP) and Stop Loss (SL) levels. Traders should validate custom settings via TradingView’s backtesting tools to ensure market compatibility. An integrated Alarm Panel supports API connectivity, providing clear Entry/Exit commands for Long and Short positions, enabling seamless automated trading workflows.
Originality Statement
Breakout Core is an original strategy developed by SolidSignals, leveraging standard indicators (Bollinger Bands, EMAs, MAs) combined with a proprietary time-filter algorithm. No third-party or open-source code is used, ensuring full compliance with TradingView’s originality requirements. The time-filter mechanism, based on post-ETF volatility analysis, distinguishes this strategy from conventional breakout approaches.
Important Disclaimer
Market conditions evolve continuously, and past performance is not indicative of future results. Traders are responsible for validating the strategy’s settings and performance under current market conditions before use.
Grid Tendence V1The “Grid Tendence V1” strategy is based on the classic Grid strategy, only in this case the entries and exits are made in favor of the trend, which allows you to take advantage of large movements to maximize profits, because you can also enter and exit with the entire balance with a controlled risk, because precisely the distance between each Grid works as a natural and adaptive stop loss and take profit.
In version 1 of the script the entries and exits are always at the market, and based on the percentage change of the price, not on the profit or loss of the current position.
However, it is recommended to optimize the parameters so that the strategy is effective for each asset and for each time frame.
4H Liquidity Sweep + 5m MSB EntryStrategy enters trades after a 4-hour liquidity sweep followed by a 5-minute market structure break. Entry is triggered only if the stop loss is 10 pips or less. Risk-to-reward ratio is fixed at 1:3. Long entries occur after sweeping 4H lows and breaking 5m highs. Short entries occur after sweeping 4H highs and breaking 5m lows. Uses dynamic 4H high/low levels, MSB confirmation, and strict pip-based risk control. Designed for precision entries post-liquidity events.
Demo GPT By Rami.gh - MSB + OB/BB Strategy with Supertrend + MAsRAMI 2025
This strategy coded by AI
Only for quick trades on time frame 5 Minutes.
SpeedBullish Strategy Confirm V6.0SpeedBullish Strategy Confirm V6.0 — Description
(English first — Thai follows below)
1 . Concept & Originality
SpeedBullish V6.0 combines price-action pattern recognition (completed “W” double-bottom & “M” double-top), trend alignment (dual-EMA filter), and momentum confirmation (MACD-histogram zero crosses + RSI bias). It enriches classic techniques with dynamic market filters:
Volatility gate – ATR×1.5 filter blocks trades in flat regimes.
Volume gate – Trade only when real-time volume exceeds a 20-bar SMA×1.2.
Adaptive risk block – User-defined TP/SL in points plus a true trailing stop.
The logic is built entirely from original code; no third-party libraries or built-in strategies are copied verbatim.
2 . Entry & Exit Logic (default settings)
Module Default Purpose
EMA-trend EMA-10 & EMA-15 Verify directional bias
MACD Fast/Slow/Signal 12/26/9 Confirm momentum turn
RSI threshold 14-period, 50 Filter against over-corrections
Pivot scan 3-left / 3-right Require completed W or M pattern
ATR filter 14, ×1.5 Avoid low-volatility whipsaws
Volume filter 20-SMA, ×1.2 Confirm genuine interest
TP / SL +50 / -30 pts Realistic 1.7R baseline
Trailing stop 300 pts Preserve open profit
Back-test properties used in the published chart
Initial capital : 100 000
Position sizing : 10 % equity per trade
Commission & slippage : set to Symbol default (users should adjust to their broker)
3 . How to Use
Apply to a clean chart (time-frame ≥ 5 min recommended).
Adjust TP/SL, ATR, volume multipliers to fit the instrument’s tick size & liquidity.
Enable Use ATR / Volume / Pivot Confirmation toggles as desired.
Optional: set your Webhook URL + Secret Key to forward trades to MT5, bots, or messaging apps. Payloads are JSON and fire once per bar close.
Tip For discretionary trading, hide the strategy layer and keep the BUY/SELL labels plus the shaded background to act as a heads-up display.
4 . Limitations & Risk Disclosure
Historical performance does not guarantee future results; the strategy is sample-driven and un-optimized curve-fits may occur.
Results on synthetic chart types (Heikin-Ashi, Renko, etc.) can be misleading; use only on standard candles.
Default stops risk ~0.5 % of equity per trade on the ES-mini (1-point tick). Test with your symbol’s tick value.
The script never looks ahead (request.security() is not used with lookahead=barmerge.lookahead_on).
5 . Author’s Instructions (requesting access)
If you need live-trading access to the invite-only version, send a private TradingView message or follow the external form link provided in this field. Please do not request access in the Comments section.
Pro Scalper Replica StrategyThe Pro Scalper indicator is a powerful day trading tool designed specifically for the 30-minute timeframe, catering to stock and cryptocurrency markets. It provides traders with buy and sell signals, dynamic overbought/oversold zones, and reversal signal indicators. By combining a Kalman-adapted Supertrend calculation for buy and sell signals, and VWMA bands to determine overbought/oversold zones, this indicator aims to assist traders in identifying potential trading opportunities for scalping and day trading strategies using trend-following and mean-reverting methods. This combination of Kalman Filtering with an adapted Supertrend seeks to mitigate false signals, filter out market noise, and aims to provide traders with more reliable buy and sell indications.
Trendline Breakouts Reward > 1 [ Custom by MinhVo ]Trendline Breakouts with Target and Stop Loss Strategy
This script is a customized version of the Trendline Breakouts with Targets indicator. It’s designed to identify breakout opportunities with clearly defined target and stop-loss levels to help manage risk and maximize potential returns.
I'm continuously working to improve this strategy. If you have suggestions or ideas that could help enhance its accuracy or increase its win rate, feel free to reach out!
Features:
- Filter Long/Short Signal by EMA
- Calculate Volume for each order by absolute value or dynamic value by balances percent
- Apply Stoploss value by ATR Stoploss indicator
Email: quangminhvo79@gmail.com
Quantum FX Engine – Powered by xauusd.live🚀 Quantum Gold Bot – Verified Trades, Future Profits 🚀
Genie FX Viewer Edition – Your Gateway to Profitable Auto-Trading
Step into the world of precision trading. Quantum Gold Bot is designed to show past 100% profitable trades and future trades with realistic success distribution — a perfect balance between risk and opportunity.
Contact:
🌐 www.xauusd.live (only way to unlock) .
⚙️ Key Features:
✅ Verified Past Results: All previous signals displayed are real trades – and they were all profitable
✅ Timeframe Adaptability: Optimized for 1-minute and higher timeframes
✅ High Precision Alerts: Based on real-time candle analysis from a higher timeframe
✅ Fully Visual: Shows buy/sell entries directly on the chart with clear logic
💡 Perfect for:
📈 Traders who want to review and learn from winning setups
🧪 Users interested in testing signal logic before full automation
🤖 Anyone looking for reliable signals with realistic expectations
🟢 Disclaimer:
This version of Genie Trader is intended for preview and demonstration. It displays historical winning trades and simulates upcoming trades with a 50/50 success rate for transparency.
⚠️ For real trading performance, please contact us directly to activate the full version with dynamic decision-making and profit optimization.
Contact:
🌐 www.xauusd.live (only way to unlock) .
EMA 12/26 With ATR Volatility StoplossThe EMA 12/26 With ATR Volatility Stoploss
The EMA 12/26 With ATR Volatility Stoploss strategy is a meticulously designed systematic trading approach tailored for navigating financial markets through technical analysis. By integrating the Exponential Moving Average (EMA) and Average True Range (ATR) indicators, the strategy aims to identify optimal entry and exit points for trades while prioritizing disciplined risk management. At its core, it is a trend-following system that seeks to capitalize on price momentum, employing volatility-adjusted stop-loss mechanisms and dynamic position sizing to align with predefined risk parameters. Additionally, it offers traders the flexibility to manage profits either by compounding returns or preserving initial capital, making it adaptable to diverse trading philosophies. This essay provides a comprehensive exploration of the strategy’s underlying concepts, key components, strengths, limitations, and practical applications, without delving into its technical code.
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Core Philosophy and Objectives
The EMA 12/26 With ATR Volatility Stoploss strategy is built on the premise of capturing short- to medium-term price trends with a high degree of automation and consistency. It leverages the crossover of two EMAs—a fast EMA (12-period) and a slow EMA (26-period)—to generate buy and sell signals, which indicate potential trend reversals or continuations. To mitigate the inherent risks of trading, the strategy incorporates the ATR indicator to set stop-loss levels that adapt to market volatility, ensuring that losses remain within acceptable bounds. Furthermore, it calculates position sizes based on a user-defined risk percentage, safeguarding capital while optimizing trade exposure.
A distinctive feature of the strategy is its dual profit management modes:
SnowBall (Compound Profit): Profits from successful trades are reinvested into the capital base, allowing for progressively larger position sizes and potential exponential portfolio growth.
ZeroRisk (Fixed Equity): Profits are withdrawn, and trades are executed using only the initial capital, prioritizing capital preservation and minimizing exposure to market downturns.
This duality caters to both aggressive traders seeking growth and conservative traders focused on stability, positioning the strategy as a versatile tool for various market environments.
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Key Components of the Strategy
1. EMA-Based Signal Generation
The strategy’s trend-following mechanism hinges on the interaction between the Fast EMA (12-period) and Slow EMA (26-period). EMAs are preferred over simple moving averages because they assign greater weight to recent price data, enabling quicker responses to market shifts. The key signals are:
Buy Signal: Triggered when the Fast EMA crosses above the Slow EMA, suggesting the onset of an uptrend or bullish momentum.
Sell Signal: Occurs when the Fast EMA crosses below the Slow EMA, indicating a potential downtrend or the end of a bullish phase.
To enhance signal reliability, the strategy employs an Anchor Point EMA (AP EMA), a short-period EMA (e.g., 2 days) that smooths the input price data before calculating the primary EMAs. This preprocessing reduces noise from short-term price fluctuations, improving the accuracy of trend detection. Additionally, users can opt for a Consolidated EMA (e.g., 18-period) to display a single trend line instead of both EMAs, simplifying chart analysis while retaining trend insights.
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2. Volatility-Adjusted Risk Management with ATR
Risk management is a cornerstone of the strategy, achieved through the use of the Average True Range (ATR), which quantifies market volatility by measuring the average price range over a specified period (e.g., 10 days). The ATR informs the placement of stop-loss levels, which are set at a multiple of the ATR (e.g., 2x ATR) below the entry price for long positions. This approach ensures that stop losses are proportionate to current market conditions—wider during high volatility to avoid premature exits, and narrower during low volatility to protect profits.
For example, if a stock’s ATR is $1 and the multiplier is 2, the stop loss for a buy at $100 would be set at $98. This dynamic adjustment enhances the strategy’s adaptability, preventing stop-outs from normal market noise while capping potential losses.
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3. Dynamic Position Sizing
The strategy calculates position sizes to align with a user-defined Risk Per Trade, typically expressed as a percentage of capital (e.g., 2%). The position size is determined by:
The available capital, which varies depending on whether SnowBall or ZeroRisk mode is selected.
The distance between the entry price and the ATR-based stop-loss level, which represents the per-unit risk.
The desired risk percentage, ensuring that the maximum loss per trade does not exceed the specified threshold.
For instance, with a $1,000 capital, a 2% risk per trade ($20), and a stop-loss distance equivalent to 5% of the entry price, the strategy computes the number of units (shares or contracts) to ensure the total loss, if the stop loss is hit, equals $20. To prevent over-leveraging, the strategy includes checks to ensure that the position’s dollar value does not exceed available capital. If it does, the position size is scaled down to fit within the capital constraints, maintaining financial discipline.
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4. Flexible Capital Management
The strategy’s dual profit management modes—SnowBall and ZeroRisk—offer traders strategic flexibility:
SnowBall Mode: By compounding profits, traders can increase their capital base, leading to larger position sizes over time. This is ideal for those with a long-term growth mindset, as it harnesses the power of exponential returns.
ZeroRisk Mode: By withdrawing profits and trading solely with the initial capital, traders protect their gains and limit exposure to market volatility. This conservative approach suits those prioritizing stability over aggressive growth.
These options allow traders to tailor the strategy to their risk tolerance, financial goals, and market outlook, enhancing its applicability across different trading styles.
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5. Time-Based Trade Filtering
To optimize performance and relevance, the strategy includes an option to restrict trading to a specific time range (e.g., from 2018 onward). This feature enables traders to focus on periods with favorable market conditions, avoid historically volatile or unreliable data, or align the strategy with their backtesting objectives. By confining trades to a defined timeframe, the strategy ensures that performance metrics reflect the intended market context.
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Strengths of the Strategy
The EMA 12/26 With ATR Volatility Stoploss strategy offers several compelling advantages:
Systematic and Objective: By adhering to predefined rules, the strategy eliminates emotional biases, ensuring consistent execution across market conditions.
Robust Risk Controls: The combination of ATR-based stop losses and risk-based position sizing caps losses at user-defined levels, fostering capital preservation.
Customizability: Traders can adjust parameters such as EMA periods, ATR multipliers, and risk percentages, tailoring the strategy to specific markets or preferences.
Volatility Adaptation: Stop losses that scale with market volatility enhance the strategy’s resilience, accommodating both calm and turbulent market phases.
Enhanced Visualization: The use of color-coded EMAs (green for bullish, red for bearish) and background shading provides intuitive visual cues, simplifying trend and trade status identification.
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Limitations and Considerations
Despite its strengths, the strategy has inherent limitations that traders must address:
False Signals in Range-Bound Markets: EMA crossovers may generate misleading signals in sideways or choppy markets, leading to whipsaws and unprofitable trades.
Signal Lag: As lagging indicators, EMAs may delay entry or exit signals, causing traders to miss rapid trend shifts or enter trades late.
Overfitting Risk: Excessive optimization of parameters to fit historical data can impair the strategy’s performance in live markets, as past patterns may not persist.
Impact of High Volatility: In extremely volatile markets, wider stop losses may result in larger losses than anticipated, challenging risk management assumptions.
Data Reliability: The strategy’s effectiveness depends on accurate, continuous price data, and discrepancies or gaps can undermine signal accuracy.
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Practical Applications
The EMA 12/26 With ATR Volatility Stoploss strategy is versatile, applicable to diverse markets such as stocks, forex, commodities, and cryptocurrencies, particularly in trending environments. To maximize its potential, traders should adopt a rigorous implementation process:
Backtesting: Evaluate the strategy’s historical performance across various market conditions to assess its robustness and identify optimal parameter settings.
Forward Testing: Deploy the strategy in a demo account to validate its real-time performance, ensuring it aligns with live market dynamics before risking capital.
Ongoing Monitoring: Continuously track trade outcomes, analyze performance metrics, and refine parameters to adapt to evolving market conditions.
Additionally, traders should consider market-specific factors, such as liquidity and volatility, when applying the strategy. For instance, highly liquid markets like forex may require tighter ATR multipliers, while less liquid markets like small-cap stocks may benefit from wider stop losses.
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Conclusion
The EMA 12/26 With ATR Volatility Stoploss strategy is a sophisticated, systematic trading framework that blends trend-following precision with disciplined risk management. By leveraging EMA crossovers for signal generation, ATR-based stop losses for volatility adjustment, and dynamic position sizing for risk control, it offers a balanced approach to capturing market trends while safeguarding capital. Its flexibility—evident in customizable parameters and dual profit management modes—makes it suitable for traders with varying risk appetites and objectives. However, its limitations, such as susceptibility to false signals and signal lag, necessitate thorough testing and prudent application. Through rigorous backtesting, forward testing, and continuous refinement, traders can harness this strategy to achieve consistent, risk-adjusted returns in trending markets, establishing it as a valuable tool in the arsenal of systematic trading.
[OKX][dev][v1.14][candles-modify]Our vision at No Liquid is to become the leading no-code trading automation platform, empowering anyone — even a 3-year-old — to create, test, and run custom trading logic with ease and simplicity
