Documentation

K.I.T. Documentation

Everything you need to get started with your autonomous AI trading agent

View Full Docs on GitHub

Introduction

K.I.T. (Knight Industries Trading) is an autonomous AI-powered trading agent designed to manage your portfolio 24/7. With 37+ built-in trading skills and natural language control, K.I.T. brings professional-grade trading automation to everyone.

"Your wealth is my mission." — K.I.T. is designed with one goal: to help you grow and protect your financial assets using cutting-edge AI technology.

Note: K.I.T. is open source and free to use. Full source code is available on GitHub.

Installation

Requirements

  • Python 3.9 or higher
  • pip (Python package manager)
  • Git
  • 4GB RAM minimum (8GB recommended)

Step 1: Clone the Repository

# Clone K.I.T. from GitHub git clone https://github.com/kayzaa/k.i.t.-bot.git cd k.i.t.-bot

Step 2: Install Dependencies

# Create virtual environment (recommended) python -m venv venv source venv/bin/activate # Linux/Mac venv\Scripts\activate # Windows # Install requirements pip install -r requirements.txt

Step 3: Run Setup Wizard

python kit.py --setup

The setup wizard will guide you through initial configuration including API keys and risk preferences.

Configuration

K.I.T. uses a config.yaml file for configuration. The setup wizard creates this automatically, but you can also edit it manually:

# config.yaml example kit: name: "K.I.T." mode: "paper" # paper or live risk: max_position_size: 0.1 # 10% of portfolio stop_loss: 0.02 # 2% stop loss daily_loss_limit: 0.05 # 5% max daily loss exchanges: binance: api_key: "your-api-key" api_secret: "your-api-secret"
⚠️ Security Warning: Never commit your API keys to version control. Use environment variables or a separate .env file.

Quick Start

Once installed and configured, start K.I.T. with:

# Start in paper trading mode (safe for testing) python kit.py # Start in live trading mode python kit.py --live # View all available commands python kit.py --help

Trading Skills

K.I.T. comes with 37+ pre-built trading skills organized into categories:

  • Trend Following: MA Crossover, MACD, ADX, Parabolic SAR
  • Mean Reversion: Bollinger Bands, RSI, Keltner Channel
  • Momentum: Breakout, Volume Surge, Gap Trading
  • AI/ML: Sentiment Analysis, Pattern Recognition, Price Prediction

Skills can be enabled/disabled individually or combined for multi-strategy trading.

Exchange Setup

K.I.T. supports 20+ exchanges including:

  • Binance / Binance US
  • Coinbase Pro
  • Kraken
  • KuCoin
  • Bybit
  • And many more...

API keys should have read and trade permissions only. Never enable withdrawal permissions.

Risk Management

K.I.T. includes comprehensive risk management:

  • Position Sizing: Automatic calculation based on account size and risk tolerance
  • Stop-Loss: Automatic stop-loss placement on every trade
  • Circuit Breakers: Trading halts if daily loss limit is reached
  • Exposure Limits: Maximum allocation per asset and sector

Custom Strategies

Create custom trading strategies by extending the base Strategy class:

from kit.strategies import BaseStrategy class MyStrategy(BaseStrategy): name = "my_custom_strategy" def analyze(self, data): # Your analysis logic here signal = self.calculate_signal(data) return signal def execute(self, signal): # Your execution logic here if signal.is_buy: self.open_position(signal)

API Reference

Full API documentation is available on GitHub:

View API Reference →

Troubleshooting

Common Issues

Q: K.I.T. won't connect to my exchange

A: Check your API keys and ensure they have the correct permissions. Some exchanges require IP whitelisting.

Q: Trades aren't executing

A: Make sure you're in live mode (--live flag) and have sufficient balance. Check the logs for specific errors.

Q: High CPU usage

A: Reduce the number of active trading pairs or increase the analysis interval in config.

Need help? Join our community on Discord or open an issue on GitHub.