created : 3 weeks ago| | live deployment: 2
created : 3 weeks ago | live deployment: 2
ETHUSD SuperTrend 4H Delta India Edition | You Earn, We Earn
by: AlgoTron Capital
Strategy description
ETHUSD SuperTrend 4H Delta India Edition
Overview
ETHUSD SuperTrend 4H Delta India Edition is a professionally engineered quantitative trend-reversal strategy built for ETHUSD perpetual futures on Delta Exchange India. Developed through extensive backtesting and forward testing, this model identifies and captures high-probability market reversals with precision and discipline using a refined SuperTrend configuration on the 4-hour timeframe.
Each trade follows a defined 1:4 risk-to-reward structure, maintaining controlled downside exposure while maximizing extended upside potential. All entries, stop-losses, and targets are generated algorithmically, ensuring structured, emotion-free, and repeatable execution across different market conditions.
You Earn, We Earn
- This strategy operates under a performance-based model with no fixed monthly fees and no upfront charges.
- Subscribers pay only when they earn, through a transparent 20% share on net monthly profits, ensuring complete alignment between the creator and subscriber.
- If the strategy does not generate profits, no fees are charged — we earn only when you do.
Performance Overview
| Profit factor | 1.73 |
| Maximum drawdown | 9.80% |
| Win rate | 61% |
| Average trades per month | 4 – 6 |
Strategy Design
- The system identifies confirmed trend reversals in ETHUSD using a SuperTrend model optimized for 4-hour market cycles.
- Each entry undergoes internal momentum and volatility validation to ensure that trades align with the prevailing trend strength and broader market structure.
- This adaptive confirmation process filters out weak reversals and enhances trade precision without introducing discretionary bias.
- Every position is protected by a pre-defined stop-loss and dynamic target derived from previous candle structure and volatility, maintaining consistency and disciplined execution.
- Signals are confirmed only at the close of each 4-hour candle, minimizing intrabar noise and preventing false triggers during volatile sessions.
Risk and Capital Management
- Every position follows a disciplined 1:4 asymmetric risk-reward ratio, providing higher profit potential while keeping drawdowns limited.
- The model never averages down, never over-leverages, and preserves capital through strict exposure control.
- Each trade’s risk is dynamically sized to maintain portfolio balance and long-term consistency.
Automation and Execution
- Once deployed, the system executes trades automatically through Tradetron’s low-latency infrastructure, integrated directly with Delta Exchange India.
- All entries, exits, stop-losses, and targets are handled algorithmically with zero manual interference or emotion.
- Subscribers benefit from seamless automation, efficient execution, and complete transparency.
Monitoring and Improvements
- AlgoTron Capital continuously monitors live trade data, volatility dynamics, and internal trend metrics to ensure consistent real-world performance.
- The model undergoes regular validation to maintain precision and reliability under evolving market conditions.
- No core logic is modified mid-month except for essential bug fixes or platform-level updates.
- This guarantees stable analytics, reliable performance tracking, and consistent behavior — because our success is tied to yours.
Exclusive Partner Offer with Delta Exchange
This strategy is built exclusively for Delta Exchange India. New users can sign up using the affiliate link below to receive a 10% trading-fee discount for the first two months, while AlgoTron Capital earns a 10% commission directly from Delta (at no cost to you).
use Referral Code: AlgoTron
By joining through this link, you enjoy reduced trading fees and support the continued research and optimization of AlgoTron Capital’s automated trading models.
Execution Disclaimer
Live trading performance may vary from backtested or simulated results due to market liquidity, order-book depth, exchange latency, and slippage. Although the strategy runs through Tradetron’s automated systems and Delta Exchange India’s matching engine, final fills and realized P&L depend on each subscriber’s execution environment.
Data and Model Integrity
- This strategy uses only official Delta Exchange OHLCV data, ensuring consistency between backtesting and live environments.
- No external data feeds, curve-fitted parameters, or discretionary interventions are used, maintaining full model integrity.
Leverage and Margin Note
- This strategy has been designed and tested using up to 10× isolated leverage for balanced risk exposure.
- Actual performance may vary depending on each user’s leverage and margin configuration on Delta Exchange.
- Using higher leverage or cross-margin may increase drawdown and risk beyond the parameters intended in the original model.
Transparency and Disclaimer
- All results are derived from extensive backtesting and forward validation.
- Past performance does not guarantee future outcomes.
- Market volatility, liquidity, and execution delays can impact live results.
- Subscribers are encouraged to begin in Paper Trading mode, evaluate behavior, and allocate capital responsibly.
- AlgoTron Capital strictly adheres to all Tradetron and Delta Exchange India policies.
Regulatory and Risk Disclaimer
- AlgoTron Capital is not a SEBI-registered investment advisor, and this strategy does not constitute investment or financial advice.
- It is an automated, data-driven trading system created for educational and research purposes.
- Past performance is not indicative of future results.
- Subscribers should perform their own due diligence and practice sound risk management before deploying live capital.
Summary
A professional, fully automated SuperTrend-based trend-reversal system for ETHUSD 4-hour trading on Delta Exchange India. Built on quantitative precision, adaptive trend validation, disciplined execution, and the transparent You Earn, We Earn model — delivering institutional-grade consistency for modern algorithmic traders.
Subscribers