AI trading (also called algorithmic or quantitative trading) refers to using software — typically machine-learning models, statistical algorithms, or rule-based bots — to analyze markets and execute trades automatically, without a human making each decision by hand.
What it actually involves
- Data in, signals out — models ingest price history, order flow, on-chain data, news sentiment, even social media, and try to find patterns or price inefficiencies to act on.
- Automated execution — once a signal fires, the system places orders on exchanges (spot, futures, or DEXs) in milliseconds, far faster than a human could.
- Two broad flavors:
- Rule-based bots — follow hard-coded logic (e.g. "buy when the 50-day average crosses the 200-day, sell at +10%"). Transparent, simple, no learning.
- Machine-learning models — actually train on historical data to find patterns, and may adapt as new data comes in. More flexible, but also more of a black box.
Where it shows up in crypto
- Trading bots/auto-trading apps — retail-friendly tools that let you set strategies (grid trading, DCA, arbitrage) and let the bot run 24/7.
- Market-making bots — provide liquidity by quoting both buy and sell prices.
- Arbitrage bots — exploit price differences between exchanges or DEXs.
- Sentiment/on-chain signals — models that trade based on social sentiment or wallet activity.
The honest caveats
AI trading isn't a magic money machine. Models are trained on past data and can fail badly when market conditions change; fees and slippage eat into thin-edge strategies; and most retail "AI signal" services significantly underperform their marketing. It's a tool that changes how trades happen — it doesn't remove the risk.
If you're interested in the practical side — like which platforms let you run automated or bot-assisted strategies on Solana meme coins, perps, or major CEXs — I can pull up some options for you. Just let me know what you'd want to run the strategy on.