I will build advanced quant trading algorithms and machine learning models in python
About this Gig
I build institutional-grade quant trading algorithms and machine learning models in Python. Whether youre a trader, quant researcher, or fund, I can implement, backtest, and optimize custom strategies across equities, crypto, or forex using platforms like QuantConnect, IBKR, Binance, Zerodha, or Alpaca. Clean, scalable, and production-ready code with data-driven logic and risk management included.
Platform:
TradingView
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Custom
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Other
FAQ
What platforms do you support?
I support QuantConnect, Binance, Zerodha (Kite Connect), Alpaca, and other API-accessible platforms. I also build custom Python-based trading systems and backtest environments using Backtrader or custom frameworks.
Can you develop a trading strategy from scratch if I don’t have one?
Yes! If you have a basic idea or goal (e.g., trend-following, mean reversion, breakout), I can help translate it into a working quant strategy with entry/exit rules, indicators, and risk logic.
Do you support live or paper trading?
Yes. I can integrate your strategy with APIs for live or paper trading using Binance, Zerodha, Alpaca, or similar platforms, based on your broker and requirements.
What kind of machine learning models can you implement?
I can implement models such as XGBoost, Random Forest, LSTM, or custom pipelines based on your dataset and strategy goals. ML is typically included in the Premium package.
Will you optimize my trading strategy?
Yes. The Standard and Premium packages include strategy optimization using additional indicators, parameter tuning, or additional asset pairs to improve performance.

