From crypto perpetuals and futures to spot and margin — fully automated, backtested Python trading systems integrated directly with Binance's REST and WebSocket APIs.
Every strategy is custom-built, rigorously backtested and deployed with full risk controls — not generic off-the-shelf bots.
Systems that identify and ride sustained directional moves in crypto markets. Uses momentum indicators (EMA crossovers, Supertrend, ADX), breakout detection, and dynamic position sizing to capture large trending moves in BTC, ETH and altcoin perpetual pairs on Binance Futures.
Exploits the tendency of crypto prices to revert to statistical means after short-term extremes. Built on Bollinger Bands, RSI divergence, and Z-score signals. Particularly effective on high-liquidity perpetual pairs with tight spreads on Binance Futures.
Captures funding rate payments on Binance perpetual contracts by holding a delta-neutral position — long spot, short perpetual (or vice versa) — earning funding fees while remaining fully market-neutral. Includes automatic rate monitoring and position rebalancing logic.
Automated grid bots that place buy and sell orders at fixed price intervals above and below a set range — profiting from market oscillation without needing to predict direction. Configurable grid spacing, position sizing, and automatic grid recentring when price moves out of range.
Pairs trading systems that exploit temporary pricing inefficiencies between correlated crypto assets — for example BTC/ETH or similar altcoin pairs. Uses cointegration analysis, spread monitoring, and mean-reversion signals to enter and exit when the spread deviates from its historical norm.
Automated liquidity provision by simultaneously posting bid and ask orders within the spread — profiting from the bid-ask spread over a large volume of trades. Includes dynamic spread adjustment, inventory management, and toxicity detection to avoid adverse selection.
Exploits the price difference between a crypto asset on Binance Spot and its corresponding Futures contract. When futures trade at a premium (contango), the system shorts the future and buys spot — locking in a near risk-free return as the basis converges at expiry.
Machine learning models (LSTM, XGBoost, Random Forest) trained on Binance price, volume, order book depth, and funding rate data to generate trade signals. Includes feature engineering, walk-forward validation, and live model retraining pipelines to keep predictions current.
Not documentation-level familiarity — genuine expertise built from navigating real edge cases in live trading environments.
Full coverage of Binance REST endpoints — order placement, position management, account data, historical klines, and exchange info. Proper rate limit handling, error recovery, and request signing.
Real-time data via Binance WebSocket streams — order book depth, trade streams, kline data, user data streams, and mark price. Includes automatic reconnection and heartbeat logic.
Full order type coverage — market, limit, stop-limit, trailing stop, OCO, and post-only orders. Proper handling of partial fills, order state transitions, and position reconciliation.
Real-time monitoring of funding rates across perpetual pairs. Systems that track predicted vs actual funding, net funding P&L, and auto-adjust positions based on rate thresholds.
Dynamic leverage control, margin monitoring, and automatic position reduction triggers before liquidation thresholds are reached. Maintenance margin tracking and real-time alert systems.
Historical and live OHLCV data pipelines from Binance — cleaned, normalised, and stored for backtesting and live signal generation. Supports both tick data and aggregated candles.
Risk management is not an afterthought — it is built into every system from day one.
Configurable daily and total drawdown limits that automatically halt trading and alert you when losses reach predefined thresholds — protecting capital before drawdowns compound.
Kelly Criterion, fixed fractional, or volatility-adjusted position sizing — ensuring each trade risks an appropriate fraction of capital based on signal confidence and market conditions.
Hard stop losses placed directly on Binance to protect against connectivity failures. Trailing stops and partial take profit logic to lock in gains during trending moves on perpetuals.
Conservative leverage limits enforced programmatically — preventing over-leveraging even if conditions appear favourable. Margin utilisation monitoring with automatic deleveraging triggers.
Telegram and email alerts for every significant event — trade executions, errors, connectivity issues, margin warnings, and daily P&L summaries. Full visibility at all times.
Automatic error recovery, API reconnection logic, and position reconciliation on restart — ensuring the bot always knows its true state after any connectivity interruption.
Request Private Discussion — we will discuss your strategy, the right approach for your goals, and a realistic timeline and cost.
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