HIP-3 is the Hyperliquid Improvement Proposal that lets third-party “deployers” launch their own perpetual futures markets on top of Hyperliquid’s infrastructure — for almost any underlying asset. This is how…
Hyperliquid exposes two public APIs: an info endpoint for read-only market data and an exchange endpoint for signed trading actions. Most tools — bots, dashboards, backtesters — only ever need…
A strategy that looks profitable in backtesting and fails immediately in production is one of the most demoralizing experiences in algo trading. The most common cause is not a flawed…
Every trade has two sides: passive (limit order, waited in the book) and aggressive (market order, matched immediately). Knowing which side was aggressive is the foundation of order flow analysis…
Building your own crypto data pipeline helps you evaluate dataset quality, debug problems, and extend to new assets. This article covers the core stages from raw compressed files to a…
Solana emerged as one of the most actively traded crypto assets from 2021 onward. For algo traders building strategies on SOL, understanding the historical data quality is particularly important —…
vectorbt is built on NumPy and Numba — it can run thousands of parameter combinations in the time other frameworks take for one. But its speed advantage only matters if…
Order flow trading is based on a simple premise: the imbalance between aggressive buying and selling predicts short-term price direction. It requires tick data — OHLCV candles do not contain…
Most algo traders think in candles. Market microstructure researchers think in individual trades, quotes, and order events. The gap between these two perspectives is where most profitable strategies live. The…
Fetching Historical Trades with CCXT: Limits and Alternatives Published 2026-08-20 · ccxtpythonhistorical-data CCXT is the standard Python library for connecting to crypto exchange APIs. When it comes to historical tick data,…