Monitoring Crypto Price Movers and Perpetual Futures Funding Rates
Summary
This tutorial presents examples for building simple market monitors with exchange data. One example repeatedly collects spot prices for Binance pairs, stores timestamped observations in rolling per-symbol windows, calculates percentage change from the oldest observation, and sorts pairs to display the largest gainers. It explains that early readings use the available history until the full four-hour window has accumulated.
The other examples retrieve USDT-margined perpetual funding rates from Binance and OKX, sort contracts by rate, and show leading entries with related pricing and funding-time fields. The article demonstrates API polling, basic data handling, sorting, and table-style status output, rather than a trading strategy or a test of predictive value. Its rolling price calculation depends on the sampling and window maintenance shown, and the funding-rate rankings are snapshots that can change; no transaction costs, execution rules, or profitability analysis are provided.
Key ideas
- A rolling price history can be used to rank crypto spot pairs by percentage change over a chosen window.
- The monitor begins with shorter history and uses the oldest available observation until the full window is collected.
- Public exchange endpoints can provide broad spot-price and perpetual funding-rate data for monitoring.
- Funding-rate records can be sorted to identify contracts with relatively high or low current rates.
- The examples are monitoring tools and do not demonstrate that rankings predict profitable trades.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.