Automation Futures Bot

itle: Algo Trading Developer — Optimize Strategies + Low-Latency Execution (Tradovate / TradersPost) + L2 / GEX / Flow Data Overview: I have 2–3 trading strategies I want optimized and taken to the next level. I'm currently running signals out of TradingView, but the delay is a dealbreaker for me. I'm looking for a seasoned algo/quant developer who's done this before — someone who can sharpen the strategies, recommend the best low-latency execution path, and integrate richer market data. Scope of work: Review and optimize 2–3 existing strategies — logic, parameters, and risk management Advise on and implement the best execution approach for reducing latency: TradersPost vs. a direct Tradovate API integration. TradingView webhook signals are too delayed for what I need, and I want someone who genuinely knows the tradeoffs and can build the better path. Integrate additional data sources: Level 2 order book, GEX (gamma exposure), and/or options flow Backtest and validate the improvements against data Must have: Proven algo/automated trading development experience Hands-on experience with TradersPost and/or the Tradovate API Familiar with TradingView / Pine Script and its webhook latency limitations Experience adding L2, GEX, and/or flow data into a strategy or execution pipeline Solid backtesting and data-handling skills Nice to have: Futures trading experience Comfortable in Python (or your relevant stack — tell me what you use) To apply, please include: A similar algo/execution project you've built (what it did, what stack) Which execution path you'd recommend for low latency — TradersPost or direct Tradovate API — and why Your specific experience with L2, GEX, or flow data