AI trading
AI trading covers a wide range of things in practice, from a simple rule based bot marketed with the word AI to genuine quantitative models trained on price and orderflow data, and the two perform very differently once real fees and slippage are applied. Most retail AI bot claims don't survive a proper out of sample test. These guides explain what AI trading actually means versus the marketing around it and how to evaluate a bot's claimed track record honestly. A backtest showing months of gains can still fail within its first live week once slippage and fees are real instead of assumed.
Guides
GuideAI Trading & AI Crypto Trading Bots, Explained (2026)
AI trading uses software to read market data, generate signals, and place orders automatically — sometimes with machine learning, often with plain rules dressed up as "AI." Here is how it actually works, the realistic capabilities and limits, and the two honest ways a self-custody crypto trader can use automation.
GuideAre AI Trading Bots Profitable? An Honest 2026 Reality Check
The honest answer: sometimes, for some strategies in some market conditions — but AI trading bots are not money machines. Profitability depends far more on the strategy, fees, market regime, and risk management than on the word "AI." Here is the balanced picture, and the real ways to automate.
GuideBest Crypto Trading Bots in 2026 (Honest Guide)
An honest, fair look at the best-known crypto trading bots in 2026 — 3Commas, Pionex, Cryptohopper, Hummingbot and Gunbot — what each is genuinely good for, plus the honest caveat on profitability and the no-code, non-custodial alternative for people who do not want to run a bot at all.
GuideAlgorithmic Trading in Crypto: A 2026 Beginner's Guide
Algorithmic trading uses pre-coded rules to place and manage crypto orders automatically. This guide explains the core strategies (market making, arbitrage, trend, mean reversion, execution), the infrastructure behind them, and how a self-custody trader can run their own algos on Hyperliquid via its public API — or skip the code with copy trading.
GuideQuant Trading in Crypto: How Quantitative Strategies Work (2026)
Quant trading uses math, data, and code to find and execute a statistical edge in crypto markets. This guide explains what quants actually do, the core strategies (statistical arbitrage, mean reversion, momentum, market making), the data-to-execution pipeline, the infrastructure it takes, and how a self-custody quant can build on Hyperliquid via its public API — or skip the code with copy trading.
Related topics
Trade on Hyperliquid via Dexly
Perps, spot, copy & prediction markets in one fast, non-custodial app. Get Dexly on iOS & Android and start in seconds.