Oracle3
Open-source trading engine and MCP server for prediction markets. Fee-aware no-arbitrage trading across related contracts, live on Kalshi, Polymarket and Solana or on paper.
An AI-powered post-trade journal that analyzes your setups, psychology, and performance — so you can trade better tomorrow.
FinancePython · TypeScriptGitHub @AyoubA05OnlineOwner unconfirmed
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AI-powered trading journal and self-review dashboard for post-trade analysis, structured journaling, screenshot review, and long-term performance analytics.
Taken from the repository README
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A post-trade reflection journal and analytics dashboard for SMC/ICT day traders — it reviews every chart, grades your process against your own rules, and learns your corrections. Not a signal app, not a bot, not financial advice.
Live demo: https://tradelenai.streamlit.app/ · runs in DEMO_MODE (cached AI, zero API spend).
Most journals store outcomes. TradeLens models the process behind them, with structure a generic journal can't express:Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
A post-trade reflection journal and analytics dashboard for SMC/ICT day traders — it reviews every chart, grades your process against your own rules, and learns your corrections. Not a signal app, not a bot, not financial advice.
Live demo: https://tradelenai.streamlit.app/ · runs in DEMO_MODE (cached AI, zero API spend).
Most journals store outcomes. TradeLens models the process behind them, with structure a generic journal can't express:Read the full README ↗