Futures Signal Web App Build
Budget: $250 – $750 USD
The goal is to build a web-based application, accessible from my Mac, that generates actionable buy and sell signals for MNQ, NQ, MGC and GC futures. Every alert must arrive complete with a suggested number of contracts, a stop-loss level and at least one take-profit target.
Trade logic should be accurate enough to prove a 75–85 % historical win rate after rigorous out-of-sample back-testing. I am open on whether the core engine relies on technical analysis, trend following, mean reversion or a hybrid; the requirement is simply that whatever mix you implement delivers the highest achievable accuracy and can be justified with clear performance metrics.
Key expectations
• Web interface: clean responsive dashboard that displays live price feeds, current positions, upcoming signals and back-test statistics.
• Mac-friendly deployment: the stack can be cloud-hosted or local, but it has to run seamlessly from Safari/Chrome on macOS without extra configuration.
• Real-time calculation: signals published instantly as new ticks arrive, with audible/visual alerts and optional email or push notification.
• Robust risk module: automatic sizing based on predefined account risk percentage, plus editable default stop-loss and take-profit ratios.
• Comprehensive test suite: reproduce the 75–85 % win rate across at least five years of historical data, plus a forward walk test.
• Documentation and hand-off: code comments, API keys/environment variables explained, and a short video or PDF walkthrough so I can maintain or extend the system later.
Acceptance criteria
1. Verified back-test report showing trade-by-trade results, equity curve and key statistics (win rate, max drawdown, Sharpe).
2. Live demo session where the app streams data and posts signals in real time.
3. Source code repo and installation instructions handed over on completion.
Please keep the architecture modular so strategies, instruments or broker connections can be swapped without a major rewrite.
Trade logic should be accurate enough to prove a 75–85 % historical win rate after rigorous out-of-sample back-testing. I am open on whether the core engine relies on technical analysis, trend following, mean reversion or a hybrid; the requirement is simply that whatever mix you implement delivers the highest achievable accuracy and can be justified with clear performance metrics.
Key expectations
• Web interface: clean responsive dashboard that displays live price feeds, current positions, upcoming signals and back-test statistics.
• Mac-friendly deployment: the stack can be cloud-hosted or local, but it has to run seamlessly from Safari/Chrome on macOS without extra configuration.
• Real-time calculation: signals published instantly as new ticks arrive, with audible/visual alerts and optional email or push notification.
• Robust risk module: automatic sizing based on predefined account risk percentage, plus editable default stop-loss and take-profit ratios.
• Comprehensive test suite: reproduce the 75–85 % win rate across at least five years of historical data, plus a forward walk test.
• Documentation and hand-off: code comments, API keys/environment variables explained, and a short video or PDF walkthrough so I can maintain or extend the system later.
Acceptance criteria
1. Verified back-test report showing trade-by-trade results, equity curve and key statistics (win rate, max drawdown, Sharpe).
2. Live demo session where the app streams data and posts signals in real time.
3. Source code repo and installation instructions handed over on completion.
Please keep the architecture modular so strategies, instruments or broker connections can be swapped without a major rewrite.
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JavaScript
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API Development