BankNifty Options Algo Automation
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted49 minutes ago
Experienced Python Developer – Bank Nifty Automated Options Trading Bot (API, Cloud, GUI)
Budget: ₹10k to ₹15 (Fixed Price)
Description:Looking for a skilled Python Quantitative/Algorithmic Developer to build a fully automated Experimental Bank Nifty Options buying system from scratch. System based on EMAs and Candle Close values.
Responsibilities & Deliverables:Core Strategy Logic: Code precise entry/exit logic. Should work on pre selected timeframes of 5-min, 15-min, and 1-hour candle close confirmation.
Noise & Spike Protection: Implement tick-filtering mechanisms to manage freak spikes and protect against bad SL/Target triggers.
Broker Integration: Integrate with broker APIs (e.g., Zerodha Kite or Fyers).
GUI & Deployment: Create a user-friendly UI/dashboard as per instructions and deploy the application to a cloud server for 24/7 uptime.
Prerequisites:Strong background in Python, pandas, WebSocket handling, and financial data structures.Prior experience building options trading systems in Indian markets (Nifty/Bank Nifty).
Willingness to execute a digital Non-Disclosure Agreement (NDA) and IP assignment contract prior to sharing strategy details.
Timeline: 1 week.
If you possess the technical expertise, integrity, and diligence required for this project within this budget, please share your portfolio or examples of past trading bots built.
P.S. This is a simple Trading system not requiring any tricky automation. Much of the inputs are as already mentioned. Kindly do not bother negotiating post submitting a quote. Please be honest, quick and starightforward with the interaction.
Budget: ₹10k to ₹15 (Fixed Price)
Description:Looking for a skilled Python Quantitative/Algorithmic Developer to build a fully automated Experimental Bank Nifty Options buying system from scratch. System based on EMAs and Candle Close values.
Responsibilities & Deliverables:Core Strategy Logic: Code precise entry/exit logic. Should work on pre selected timeframes of 5-min, 15-min, and 1-hour candle close confirmation.
Noise & Spike Protection: Implement tick-filtering mechanisms to manage freak spikes and protect against bad SL/Target triggers.
Broker Integration: Integrate with broker APIs (e.g., Zerodha Kite or Fyers).
GUI & Deployment: Create a user-friendly UI/dashboard as per instructions and deploy the application to a cloud server for 24/7 uptime.
Prerequisites:Strong background in Python, pandas, WebSocket handling, and financial data structures.Prior experience building options trading systems in Indian markets (Nifty/Bank Nifty).
Willingness to execute a digital Non-Disclosure Agreement (NDA) and IP assignment contract prior to sharing strategy details.
Timeline: 1 week.
If you possess the technical expertise, integrity, and diligence required for this project within this budget, please share your portfolio or examples of past trading bots built.
P.S. This is a simple Trading system not requiring any tricky automation. Much of the inputs are as already mentioned. Kindly do not bother negotiating post submitting a quote. Please be honest, quick and starightforward with the interaction.
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