Stock Algo Using RSI & Options
Budget: ₹1,500 – ₹12,500 INR
I need an automated strategy coded for the stock market that combines classic price-action indicators with live options-chain confirmation. The engine must generate entries and exits from RSI and EMA signals on the underlying equity, then filter them with real-time open-interest data pulled from the options chain.
Key points
• Market: strictly equities (no crypto or FX).
• Indicators in play: Relative Strength Index, Exponential Moving Averages, and Open-Interest metrics.
• Logic: when both price indicators and OI align, the bot should execute or close positions automatically.
What I expect from you
1. Clean, well-commented code (Python preferred, but I’m open if you have a strong case for another language) that can hook into a mainstream broker API.
2. A back-test module so I can verify performance on historical data before we go live.
3. Simple risk controls—position sizing, stop-loss, and max-drawdown guardrails—configurable via a settings file or dashboard.
4. Deployment help on my VPS so the bot can run unattended.
If you’ve built indicator-plus-options algorithms before and can show live or back-tested results, let’s talk.
Key points
• Market: strictly equities (no crypto or FX).
• Indicators in play: Relative Strength Index, Exponential Moving Averages, and Open-Interest metrics.
• Logic: when both price indicators and OI align, the bot should execute or close positions automatically.
What I expect from you
1. Clean, well-commented code (Python preferred, but I’m open if you have a strong case for another language) that can hook into a mainstream broker API.
2. A back-test module so I can verify performance on historical data before we go live.
3. Simple risk controls—position sizing, stop-loss, and max-drawdown guardrails—configurable via a settings file or dashboard.
4. Deployment help on my VPS so the bot can run unattended.
If you’ve built indicator-plus-options algorithms before and can show live or back-tested results, let’s talk.