Hyperliquid exposes a full trading API, making a custom bot or a quant strategy possible instead of clicking buy and sell by hand for every signal. Building against it means handling authentication, rate limits, and order state yourself, and getting that wrong is a common way a strategy loses money for reasons that have nothing to do with the strategy itself. These guides cover how to authenticate and place your first order through the API, plus what a working bot needs beyond the trading logic. Get the plumbing right before you trust it with real size, since order state bugs often show up as losses that look like bad calls.
GuideThe Hyperliquid API is the public programmatic interface to the Hyperliquid DEX: an Info endpoint for reading data, an Exchange endpoint for placing orders, and a WebSocket for real-time streaming, all authenticated with agent wallets that can trade but never withdraw. Here is how each surface works, the official Python SDK, the rate limits, and how to start building a bot or strategy.
GuideBuilding a crypto trading bot is a repeatable engineering process: pick a rule-based strategy, choose an exchange with a real API, authorise API/agent-wallet access, backtest, paper-trade, add hard risk controls, then deploy and monitor. This step-by-step guide walks through each stage using Hyperliquid and its official Python SDK as the worked example — and the honest no-code alternative if you do not write code.
GuideAlgorithmic 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 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.
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