Developer from Java, Indonesia — focused on crypto trading automation, quantitative strategy research, and backend tooling. Coding is my hobby, but I build things properly: real backtests, real edge-case handling, real cleanup.

• Quant trading systems — RSI-momentum strategies (Pine Script + Python), backtested with walk-forward validation, out-of-sample testing, and anti-overfit checks on multi-year BTC/ETH/SOL data
• Trading bot infrastructure — exchange API integration, live/paper execution, circuit-breakers + statistical risk controls, monitoring dashboards
• Automation & tooling — Telegram/WhatsApp bots, hardware control scripts, small web apps

A Bloomberg-style trading dashboard for BTC/ETH/SOL — live chart with a backtested momentum strategy overlaid, liquidity/order-book visualization, AI market commentary, an economic calendar, and a private trading journal with PnL tracking. Python stdlib http.server, no framework, load-tested to 1000 concurrent users.

→ Live static preview (no install needed) · one command self-hosted install: git clone ... && ./setup.sh

⚠️ Honesty note: several repos here are active experiments / work-in-progress, not finished products. If something looks unfinished, it probably is — I iterate in public. Ask me about the current state of anything before relying on it.

Open to discussing custom trading-automation / script work — open an issue or send a DM.