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Join us on DiscordTake your trading to the next level — institutional-grade market signals your agents can read on every poll.
Screener-ready market indicators — health, regime and per-asset structure signals across Hyperliquid and Binance, served as a pollable JSON API.
187 trading indicators from the AlgoBrain wiki, grouped. Each group page lists what every indicator measures, the strategies that use it, the API endpoints that serve it or its inputs, and a prompt for an AI agent to compute it. For strategies built on them see the trading strategies library.
GET /api/v1/indicators/catalog/groups · GET /api/v1/indicators/catalog?group={slug} · GET /api/v1/indicators/catalog/{slug}A single, at-a-glance read on the state of the crypto market: a dual-score system that grades both the long-term backdrop and the short-term tape on a 0–100 scale, each with a plain-language sentiment label from extreme fear to extreme greed.
A long-horizon market-cycle model that places the market in one of 10 named regimes — from structural shock and established bear through accumulation, BTC-led and broadening bull markets, to speculative euphoria and post-peak distribution — with the live classification and the evidence behind it.
A Hidden Markov Model engine that filters a calibrated posterior probability over 6 market regimes — strong-trend bull, strong-trend bear, range / low-vol, choppy / high-vol, vol-spike and squeeze — rather than a single hard label, so you can size and gate by conviction. It runs whole-market and per-coin, and ships probability buckets for direction, volatility, liquidation risk, funding, breadth and regime transitions.
explain block, and full regime history.A per-asset trend-state radar built on ADX(14)+DMI: every asset is classified RED, GREY or GREEN with hysteresis to suppress whipsaw, then tracked for how long it has held that color, when it last flipped, and how far price has moved since. Covers all Hyperliquid perps plus Binance.
A price-structure screener that reads each asset's position against its moving averages, Bollinger-band compression, recent range and RSI extremes — turning raw OHLC into a clean, sortable structural state you can filter for breakout, squeeze and mean-reversion setups.