Trading Bots Handle Your Trades While You Sleep
A bot is just code that buys and sells according to rules you define. No magic. No machine learning required. If you can describe a trading strategy, you can code a bot.
The Simplest Bot (Day 1)
Strategy: Buy when RSI below 30, sell when RSI above 70.
Python pseudocode:
get current RSI
if RSI < 30:
buy()
if RSI > 70:
sell()
That's it. Loop every 5 minutes. Done.
Step-By-Step Build Process
Step 1: Define your strategy clearly
Write it down. Entry rule, exit rule, position size, stop loss. If you can't write it, you can't code it.
Step 2: Set up Alpaca account
Free paper trading account. No money needed to test.
Step 3: Install Alpaca SDK
pip install alpaca-trade-api
Step 4: Write the bot in Python
50-100 lines. Connect to API, check conditions, place orders.
Step 5: Paper trade for 2-4 weeks
Let it run on fake money. Measure win rate. Fix bugs.
Step 6: Trade live with 1% risk**
If it was profitable on paper, go live but small.
Common Bot Pitfalls
- Not testing before live trading (guaranteed loss)
- Overcomplicating strategy (simple wins)
- Ignoring commissions and slippage (kills edge)
- No stop loss (bet-the-farm risk)
Real Bot Example
A trader built a bot that trades RSI divergence. 55% win rate. Average R-multiple 1.8. Runs 200 trades/year. Makes $15k/year on $100k account. Passive income.
This is achievable. Try it. Use TradePilot's coding resources as reference.