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Tokenised Forex and the On-Chain Financial Attack Surface. Research covering how traditional forex is being brought on-chain, which protocols are doing it, and five attack classes specific to on-chain financial assets -- oracle manipulation, pool manipulation, stable-coin de-peg, smart contract logic errors, and regulatory risk.
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30 minute sprint. ⚡️
#Fintech landing page.
Finicon: A premium Framer template concept for financial infrastructure. [ Coming soon... ]
Awesome!
Built an end-to-end AI-driven Forex trading bot that automates the entire trading lifecycle — from real-time market analysis to live trade execution — without any human intervention.
The system connects directly to MetaTrader 5 to pull live OHLCV and tick data, then runs it through a hybrid ensemble AI engine combining XGBoost (pattern detection on tabular indicator data) and LSTM (deep learning for time-series memory). Trades are only executed when both models agree above a confidence threshold — significantly reducing false signals.
Key engineering highlights:
· Smart Money Concepts (SMC) + RSI/ATR indicators feed a complex feature set into the models
· Ensemble predictor with configurable confidence thresholds before any trade fires
· Risk manager calculates position sizes dynamically based on account balance, enforces stop-loss, take-profit, and daily loss limits
· News filter automatically pauses trading during high-impact economic events
· Real-time mission control dashboard (Flask + SocketIO) showing live charts, bot status, open trades, and AI decision logs
· SQLite state persistence — bot resumes exactly where it left off after any restart
This is a production-grade system, not a tutorial project. Every layer — data, analysis, AI, risk, and execution — is decoupled and independently testable.
Tech stack: Python · TensorFlow (LSTM) · XGBoost · Scikit-Learn · MetaTrader 5 · Flask · SocketIO · Pandas · SQLite
Built a fully automated crypto arbitrage scanner that monitors 5 major exchanges simultaneously every 10 seconds across 20 top coins, firing instant Telegram alerts when a price spread exceeds 1.5%.
The system fetches live prices concurrently from Binance, Coinbase, Kraken, KuCoin, and OKX using async HTTP requests, calculates spreads across every exchange pair in real time, and delivers formatted alerts with exact buy/sell prices and estimated profit per $1,000 invested.
Key engineering highlights:
· Async architecture (Python asyncio + aiohttp) for concurrent exchange polling with zero blocking
· On-chain payment verification - subscribers pay in USDT/USDC and the bot verifies the transaction directly on Polygon/BSC via block explorer APIs, no payment processor needed
· Telegram subscription bot with full admin controls, auto invite link generation, and renewal handling
· Live web dashboard (Flask + Chart.js) showing real-time spreads, alert history, and revenue stats
· Deployed on Railway with persistent storage, graceful shutdown handling, and health check endpoints
Tech stack: Python · asyncio · aiohttp · python-telegram-bot v20 · Flask · SQLite · Railway
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