Core Components of a Custom Trading Algorithm
Data Input
Automatically fetched by our Algos (You need not to worry about it)
Live real-time market feed (for execution)
Technical Indicators
You can combine multiple indicators to create your own logic. Examples:
Indicators: Moving Averages (SMA, EMA), MACD, RSI, etc
You choose which indicators to use, and define their parameters (e.g. 20-day EMA, RSI(14), etc.)
Entry & Exit Conditions (Rules)
Define Buy (Entry) rules
e.g. Buy when 20 EMA crosses above 50 EMA AND RSI < 60
Define Sell (Exit) rules
e.g. Sell when price hits 10% profit OR RSI > 75
Can also add Stop Loss and Trailing Stop logic.
Risk & Money Management
Position sizing (fixed % of capital per trade)
Risk/reward ratio target (e.g. 1:2)
Daily loss limit / max drawdown
Max trades per day
Paper Trading (Simulation)
Test in real market conditions without risking real money
Validate logic and emotional discipline
Live Deployment
Connect your algo to an exchange API (Binance)
Run 24/7 on a VPS or cloud platform
Monitor logs, trades, and performance