Resources

Free data platform for perpetual futures. Funding rates, open interest, liquidation cascades — the numbers you need before you can call your trades "systematic."

Particularly useful for funding rate arbitrage, which is the closest thing to a free lunch in crypto. The catch, as always: by the time you've built the spreadsheet, the edge has tightened. But Loris gives you the data pipeline to at least lose money with better information.

Hypurr maintains the most comprehensive directory of projects building on Hyperliquid. DEXs, lending protocols, yield strategies, analytics tools — if it touches Hyperliquid, it's probably listed here.

Think of it as due diligence infrastructure. Before you ape into the latest Hyperliquid-native protocol, you can at least check whether anyone else is using it. TVL numbers included, copium not.

Structured onchain data optimized for machine learning and backtesting. If you've ever tried to wrangle raw blockchain data into something a model can ingest, you understand the value proposition.

Covers multiple chains with a focus on trading-relevant datasets. The kind of tool that saves you three weeks of data cleaning — which you'll then spend overfitting your backtest instead.

A comprehensive open-source book covering everything from "what is a blockchain" to MEV, perpetual futures mechanics, and Hyperliquid Liquidity Pools.

Written for people who want to understand the machinery, not just the marketing. If you're trading onchain and can't explain how a perpetual swap maintains its peg to spot, this is your required reading. The Hyperliquid chapter alone justifies the time investment — and the price (free) makes the risk-reward quite compelling.

Vertox Quant's primer on quantitative finance. Statistical arbitrage, mean reversion, momentum factors, and how to think about edge in a systematic framework.

This isn't a "copy my strategy" post. It's the intellectual scaffolding you need before building strategies that lose money in more sophisticated ways. Particularly relevant if you're transitioning from discretionary trading to systematic approaches on Hyperliquid.

Stale Quant's essay collection on building trading bots for Hyperliquid. API integration, order management, risk controls, and the existential question of whether your bot is smarter than you.

Statistically, it only needs to be more disciplined — which is a low bar at 3 AM when your position is underwater. Good starting point for developers who want to stop manually clicking buttons and start manually debugging code instead.

Step-by-step QuickNode tutorial for building a Python bot that copy-trades on Polymarket. API setup, wallet monitoring, trade execution — the full pipeline.

The premise: find someone who's consistently right about geopolitics, then replicate their trades faster and without the emotional overhead. Whether you're interested in prediction markets specifically or just want a clean example of onchain bot architecture, this tutorial is well-structured and actually runs.

The research arm of Onchain Divers. Data-driven analysis of blockchain trading dynamics — market microstructure, flow patterns, and the occasional insight that makes you reconsider your position sizing.

This isn't alpha in a box. It's the analytical foundation for generating your own. Updated regularly, with enough charts to satisfy your inner data scientist and enough caveats to satisfy your inner risk manager.

Live calendar, listings, and watchlist for HIP-3 equity on Hyperliquid. Tracks upcoming and active HIP-3 launches so you can follow the token issuance pipeline without manually refreshing governance forums.

If you're participating in HIP-3 equity events — or just watching from a safe distance — this is the cleanest way to stay current on what's live, what's coming, and what's worth tracking.

On-chain analytics for Hyperliquid — wallets, cohorts, open positions, order flow, and liquidations in one place. Whether you're tracking your own book or studying how the market moves, HyperTracker surfaces the data that matters.

Access via the interactive dashboard or pull data programmatically through the API. Useful for traders who want a structural edge and researchers who want the raw numbers.

Market data platform built for builders and traders. Orderbook streaming, analytics, and free historical data on S3 — the infrastructure layer between raw blockchain state and a strategy that actually runs.

If you're building systematic strategies or just want cleaner data than a browser tab can provide, Hydromancer is worth a look. Orderbook streaming averages 170ms latency.