AI Stock Trade Signal Bot

I want a robust, production-ready bot that analyses live stock-market data and continuously generates actionable trade signals. The emphasis is on accuracy and low-latency execution; price-trend visualisations or broader economic-indicator commentary can come later, but for this first release I’m only interested in a self-contained engine that tells me exactly when to buy or sell.

Here is how I picture the workflow:

• The bot ingests real-time market feeds, cleans and stores them efficiently.
• A proven predictive model (machine-learning, statistical, or a hybrid you recommend) evaluates that stream and outputs clear entry and exit signals.
• Automated back-testing validates performance over multiple market cycles, with metrics I can audit.
• Once satisfied, the same logic deploys live and can push alerts via API, Telegram, or email.

You are free to pick the stack—Python with pandas/NumPy, TensorFlow/PyTorch, or any technology you know will meet these objectives—provided the final package is fully documented and I can reproduce results on my own machine.

Deliverables
1. Source code and model files in a private Git repository
2. A concise setup guide plus usage documentation
3. Back-test report showing strategy performance and risk metrics
4. Live demo (screen-share or recorded) proving real-time signal generation

If any clarification is needed on data vendors, hosting, or performance targets, let’s sort that out up front so development can stay focused and fast.