algorithmic-trading-binance

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.

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.

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.

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.

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.

Backtest auditing toolkit: realistic costs, clustered t-statistics, permutation controls, power analysis. Plus findings from 52 tested hypotheses.

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.

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.