Automated Day-Trading Algo Build

I need a complete algorithmic setup that can execute intraday trades across stocks, ETFs, and cryptocurrencies, relying solely on technical indicators for every decision. My goal is to have the logic coded, back-tested, and ready for live deployment on a reliable brokerage or exchange API.

I will provide the core trading rules I currently follow; you will translate them into clean, well-documented code, incorporate risk-management parameters, run historical tests to prove robustness, and help connect the finished strategy to a live account so it can fire orders automatically without manual intervention.

Please state the language or platform you prefer—whether that is Python with libraries such as pandas, TA-Lib, and ccxt; a broker-native SDK like Interactive Brokers; or a charting language like TradingView Pine Script—and confirm you can deliver:
• the source code,
• a concise back-test report that highlights win rate, drawdown, and Sharpe ratio, and
• step-by-step deployment instructions.

If you have previously built profitable day-trading bots using technical indicators, share a brief example so I can gauge fit. Looking forward to getting this strategy running live soon.