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6.6 How Crypto Trading Algorithms Execute Trades?

2025-12-18

Algorithmic Trading (or “Algo Trading”) is the use of computer programs to execute trades based on a predefined set of rules. In the 24/7 crypto market, where prices move in milliseconds, these bots act as a “robot trader” that monitors data and acts far faster than any human ever could.  

I. How it Works (The “Recipe” Model)

Think of an algorithm as a specific recipe for a trade. It follows four main steps:

  1. Data Intake: The bot scans prices, volume, and even social media sentiment.  

  2. Logic Trigger: It checks if specific conditions are met (e.g., “If Bitcoin drops 3% in 10 minutes, then…”).  

  3. Execution: It sends an instant order to the exchange via an API (a digital bridge).  

  4. Risk Exit: It automatically places a stop-loss or take-profit order to protect your capital.  

II. Core Strategies

  • Trend Following: Buys when the price breaks above a key level and sells when the momentum slows.

  • Arbitrage: Identifies a coin priced at $50,000 on Exchange A and $50,050 on Exchange B, buying and selling simultaneously to pocket the $50 difference.

  • Mean Reversion: Operates on the theory that if a price deviates too far from its average, it will eventually “snap back.”  

III. Advantages vs. Disadvantages

AdvantagesDisadvantages
Lightning Speed: Executes trades in microseconds.Technical Risk: A simple bug or internet outage can lead to “ghost trades” or losses.
Emotion-Free: Bots don’t “panic sell” or get greedy; they stick to the math.Over-Optimization: A bot might work perfectly on old data (backtesting) but fail in live markets.
24/7 Vigilance: Since crypto never sleeps, the bot trades while you do.Competition: You are competing against institutional bots with millions in funding.

IV. Algo vs. Automatic Trading: The Difference

While often used interchangeably, there is a subtle distinction:

  • Automatic Trading: Refers to simple, rigid rules (e.g., “Buy $100 of BTC every Monday”).

  • Algorithmic Trading: Involves complex, data-driven logic that can adapt or use multiple indicators (e.g., “Only buy if RSI is below 30 AND volume is increasing”).  

Key Formula for Success: Profitability isn’t guaranteed by the bot itself, but by the Edge (the logic) plus Risk Management.

Expected Profit=(Win Rate×Avg. Win)(Loss Rate×Avg. Loss)Fees Expected\ Profit = (Win\ Rate \times Avg.\ Win) – (Loss\ Rate \times Avg.\ Loss) – Fees

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