Building an AI Trading Bot in Public
Follow my journey as I develop ZephyrApex, an automated trading system using EMA+RSI strategies. Regular updates, code snippets, and transparent decision-making.
Live Trading
From paper trading validation to live deployment with canary rollouts.
AI Integration
DeepSeek API (then Grok 4.2.0) for market analysis and trading signal enhancement.
Real-Time Dashboard
Live equity curves, trade logs, and risk metrics via Server-Sent Events.
How ZephyrApex Works
EMA vs RSI Strategy
At its core, ZephyrApex operates as a sophisticated EMA vs RSI trading bot. By combining Exponential Moving Averages (EMA) to identify trend direction with the Relative Strength Index (RSI) to calculate momentum, coupled with my trading profile sub-system, the system filters out market noise.
This technical foundation ensures I'm not just chasing price, but entering high-probability setups identified by clear mathematical overrides.
AI Accumulation Logic
Unlike traditional systems, this bot uses AI-powered accumulation logic. When technical signals suggest a bottom, the AI sentiment layer (Grok/DeepSeek) analyzes real-time forensic market data to decide if I should scale into a position or wait for lower volatility.
- Low-latency risk guardrails
- Automated daily loss limits
- Forensic trade logging for transparency
Latest Updates
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