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BytesAgain β€Ί Skills β€Ί Bybit Futures
πŸ¦€ ClawHub

Bybit Futures

by @sunnyztj

Complete Bybit USDT perpetual futures trading system with risk management, paper trading, and live execution. Use when building a crypto futures trading bot,...

Versionv1.1.0
Downloads2,092
Stars⭐ 4
#clawhub
TERMINAL
clawhub install bybit-futures

πŸ“– About This Skill

name: bybit-futures description: Complete Bybit USDT perpetual futures trading system with risk management, paper trading, and live execution. Use when building a crypto futures trading bot, connecting to Bybit API, implementing stop-loss/take-profit, managing leverage and position sizing, paper trading strategies, backtesting, or deploying a WebSocket-based real-time trading system. Supports EMA crossover, RSI, and custom strategy templates.

Bybit Futures Trading System

Complete trading infrastructure for Bybit USDT perpetual futures contracts.

Quick Start

1. Install dependencies: pip install ccxt websockets numpy requests 2. Copy scripts/config_template.py β†’ config.py, fill in API keys 3. Run paper trading: python scripts/paper_trading_ws.py 4. When validated, switch to live: python scripts/live_trading.py

Architecture

config.py          ← API keys + risk parameters
risk_manager.py    ← Position sizing, daily loss limits, max positions
paper_trading_ws.py ← WebSocket real-time paper trading
live_trading.py    ← Live execution (same logic, real orders)
backtest.py        ← Historical backtesting engine

Risk Management

All trades enforced by risk_manager.py:

  • Max position: configurable % of capital per trade (default 20%)
  • Max leverage: configurable (default 5x)
  • Stop loss: automatic per-trade (default 3%)
  • Take profit: automatic per-trade (default 6%, 2:1 R/R)
  • Daily loss limit: halt trading after X% daily drawdown (default 10%)
  • Max concurrent positions: configurable (default 3)

    • Included Strategies

    EMA Crossover (ETH)

  • EMA(12) crosses above EMA(26) β†’ long
  • EMA(12) crosses below EMA(26) β†’ short
  • Best on: ETH/USDT 1h timeframe

    • RSI Mean Reversion (SOL, HYPE, PEPE)

  • RSI(14) crosses up from below 30 β†’ long
  • RSI(14) crosses down from above 70 β†’ short
  • Best on: SOL, HYPE (73% WR), 1000PEPE (53% WR) 1h timeframe
  • Backtested: HYPE +$339, PEPE +$210 on 90-day 1h data

    • Custom Strategy Template

    See references/custom_strategy.md for adding your own signals.

    WebSocket Real-Time Engine

    The paper/live trading engine uses Bybit's WebSocket v5 API:

  • Ticker subscription: millisecond-level price updates for SL/TP
  • Kline subscription: signal calculation on candle close only
  • Auto-reconnect: 5s retry on disconnect
  • State persistence: saves every 5 minutes to JSON

    • Deployment

    Recommended: systemd service on a VPS.

    # Create service file
sudo tee /etc/systemd/system/paper-trading.service << 'EOF'
[Unit]
Description=Paper Trading Bot (WebSocket)
After=network.target
    [Service]
Type=simple
WorkingDirectory=/root/trading
ExecStart=/usr/bin/python3 paper_trading_ws.py
Restart=always
RestartSec=10
    [Install]
WantedBy=multi-user.target
EOF
    sudo systemctl enable --now paper-trading

    Telegram Notifications

    Built-in Telegram push for all events:

  • Position opened/closed
  • Stop loss / take profit hit
  • 6-hourly summary reports
  • Error alerts

    • Set TG_BOT_TOKEN and TG_CHAT_ID in config.

    Files

  • scripts/config_template.py β€” Configuration template
  • scripts/risk_manager.py β€” Risk management engine
  • scripts/paper_trading_ws.py β€” WebSocket paper trading bot
  • scripts/live_trading.py β€” Live trading bot
  • scripts/backtest.py β€” Backtesting engine
  • references/custom_strategy.md β€” Guide for adding custom strategies
  • references/bybit_api_notes.md β€” Bybit API gotchas and tips

    • πŸ’‘ Examples

    1. Install dependencies: pip install ccxt websockets numpy requests 2. Copy scripts/config_template.py β†’ config.py, fill in API keys 3. Run paper trading: python scripts/paper_trading_ws.py 4. When validated, switch to live: python scripts/live_trading.py