FoundationsLesson 1
What is Algorithmic Trading?
Learn the fundamentals of algorithmic trading, including why algorithms matter, the types of strategies, and how they work.
8 minute read
4 key takeaways
What is Algorithmic Trading?
Algorithmic trading is the use of computer programs to execute trades according to pre-defined rules and criteria. Instead of a human trader making discretionary decisions, an algorithm analyzes market data, generates buy/sell signals, and automatically places orders. This happens in milliseconds—faster than any human could ever react.
Why Use Algorithms?
- Speed: Execute in microseconds, capturing micro-opportunities
- Consistency: Remove emotion and discipline issues from trading
- Backtesting: Test strategies on historical data before risking capital
- 24/7 Operation: Algorithms never sleep, can trade across global markets
- Scalability: Execute the same strategy across thousands of instruments
- Precision: Execute exactly at specified prices and sizes
Types of Algorithmic Strategies
| Strategy Type | How It Works | Timeframe | Market Condition |
|---|---|---|---|
| Trend-Following | Buy in uptrends, sell in downtrends | Daily to Monthly | Strong trending markets |
| Mean-Reversion | Buy oversold, sell overbought | Hourly to Daily | Range-bound markets |
| Momentum | Buy recent winners, sell recent losers | Monthly | Markets with persistence |
| Statistical Arbitrage | Exploit pricing inefficiencies in related assets | Seconds to Minutes | Any market |
| Market Making | Quote both bid and ask, profit from spread | Milliseconds | Liquid markets |
The Algo Trading Workflow
- Idea: Identify a trading opportunity or market inefficiency
- Research: Analyze if the idea has statistical edge using historical data
- Code: Implement the strategy in a programming language (Python, C++, etc.)
- Backtest: Test on historical data to see hypothetical performance
- Paper Trade: Run on live data with virtual capital (no real risk)
- Deploy: After proving consistency, allocate real capital
This Platform Supports Steps 2-5
You'll use the Trading Lab to research ideas, code strategies, backtest them, and paper trade before committing real capital. This drastically reduces risk.
Key Takeaways
- Algorithmic trading uses computers to execute trades based on predetermined rules
- Speed, consistency, and backtesting capability provide the edge
- Different strategy types suit different market conditions
- ~70% of U.S. equity volume is now driven by algorithms