Automated Elliott Wave pattern recognition and algorithmic trading bot
A multi-layer automated crypto futures signal algorithm — 22 indicators, 5 layers, live since 2025
AI-powered crypto trading system built with security engineering discipline. FastAPI + React + ML.
Run automated Binance spot trading strategies with institutional-grade risk controls. Features a live paper-money control panel, rigorous out-of-sample research pipelines, full audit trails, and Docker deployment.
ontology-driven, event-driven and evidence-based Binance Spot/Futures research and paper-trading platform with deterministic risk, validation and decision governance.
Backtest auditing toolkit: realistic costs, clustered t-statistics, permutation controls, power analysis. Plus findings from 52 tested hypotheses.
Read-only safety monitor for self-hosted Binance USD-M Futures bots.
Modular algorithmic trading bot built with Python, Binance API, and Docker. Implements EMA/RSI-based trading strategies, automated position sizing, email notifications, and 24/7 deployment support.
Cross-exchange (Binance/Kraken) HFT arbitrage scanner in C++20 — real-time order book sync, checksum-validated, risk-gated execution engine. Binance execution verified live on testnet; Kraken execution unverified (no Spot sandbox exists).
High-probability Mean Reversion strategy and automated Pine Script framework for Ethereum (ETH) and Avalanche (AVAX) scalping.
An automated Binance grid trading bot built in Python, featuring persistent state recovery (JSON), dynamic MIN_NOTIONAL validation, virtual order queueing, and robust API error handling.
1m BTCUSD pullback-momentum strategy: where the edge goes after fees. Systemised a discretionary approach, found +0.072R/trade before costs (19k trades, t≈7), then killed it — round-trip fees are 2.8× the ATR-based risk unit.
Multi-exchange algorithmic trading platform — paper-first, 35 pre-verified exchanges, Apache-2.0
Binance TR trading bot (Python): SMA 50/200 trend strategy, paper mode, stop-loss, max-loss kill switch and Telegram alerts. Includes a backtesting toolkit with fees and slippage across 1h/4h/daily timeframes. Results are reported honestly: the strategy did not beat buy-and-hold over 6 years.
Proprietary microstructure monitor for detecting hidden liquidity, order book spoofing, and structural imbalances across 5 major exchanges in real-time.
Open-source entry-risk check for any trading bot. Reads the Entry Risk Score API for Binance USDT-M futures. Python, CLI, local sidecar, Freqtrade, ccxt, JS. Data, not a signal.
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