MKT CAP$2.66T+1.3%
24H VOL$142.9B
BTC DOM58.4%
HEALTH64NEUTRAL
SHORT-TERM79BULLISH
LONG-TERM48BEARISH
OI$13.9B
24H LIQ$126M
LONG/SHORT51.7% / 48.3%
REGIME (LT)SPECULATIVE EUPHORIA
REGIME (ST)STRONG TREND (BULL)
HL OI$9.8B
MKT CAP$2.66T+1.3%
24H VOL$142.9B
BTC DOM58.4%
HEALTH64NEUTRAL
SHORT-TERM79BULLISH
LONG-TERM48BEARISH
OI$13.9B
24H LIQ$126M
LONG/SHORT51.7% / 48.3%
REGIME (LT)SPECULATIVE EUPHORIA
REGIME (ST)STRONG TREND (BULL)
HL OI$9.8B
Plug real-time crypto data into your AI agent — one command: Get your free API key →
Get API KeyLogin
Free · Open Source · Built on the API

Free crypto trading apps
built by our community

Real, runnable trading tools that plug into CryptoDataAPI — a perp backtester that refuses lookahead, a strategy wiki-brain your agent reads over MCP, and whatever you ship next. Every one is free and open source: clone it, read it, or bend it into your own thing.

Featured free trading apps

Each one runs on live CryptoDataAPI endpoints — the endpoints each app actually calls are listed on its card, so you can see what a key needs to cover before you clone it.

HY

Hyperliquid Backtester

Backtest perp strategies on real Hyperliquid data — honest fees, no lookahead.

The backtester's interactive HTML replay — candles, trade markers and the equity curve, played back bar-by-bar from a real run
Official BacktestingPerpetualsHyperliquidPython MIT

An open-source Python engine for backtesting crypto perpetual-futures strategies on real Hyperliquid market data. It charges taker fees on both sides, accrues funding per bar and checks liquidations, so a result you like is a result you could have traded. Every run exports an interactive HTML replay that plays the backtest back bar-by-bar.

  • No lookahead — a strategy only ever sees bars up to now, and fills land at the next bar's open
  • Honest costs — taker fees, slippage and per-bar funding, plus liquidation checks
  • Bar-by-bar HTML replay with the equity curve, drawdown and every trade marker

Endpoints it uses /backtesting/klines · /backtesting/funding · /backtesting/snapshots

AL

AlgoBrain

An LLM wiki-brain of ~4,900 linked nodes your agent reads over MCP.

The AlgoBrain knowledge graph in Obsidian — thousands of linked nodes, panning in to the hyperliquid hub and the strategies wired to it
Official AI AgentMCPKnowledge BasePython MIT

An open-source, expert-curated knowledge base of interlinked markdown nodes — strategies, concepts, assets and market narratives — served to AI agents over a local MCP server. Point an agent at it and it can compose trading strategies from real primitives instead of inventing them, grounded on live CryptoDataAPI market data.

  • ~4,900 interlinked markdown nodes covering strategies, concepts, assets and narratives
  • Local MCP server — Claude, Cursor or any MCP client reads it as native tools
  • Obsidian-compatible vault, so you can browse and extend the graph by hand

Endpoints it uses /quant/market · /market-health · /coins/{id}

Want to build your own trading app?

Three steps from zero to a working app. The free tier covers market-wide intelligence and 2,000+ coin profiles — enough to ship something real before you pay us anything.

01

Get a free key

Sign up and mint a key in a minute. Confirm your email and the free tier goes to 1,000 requests/day. Create a key →

02

Wire up the data

REST over 190+ endpoints, or connect an agent directly with the MCP server. Start from the API docs or a library prompt.

03

Ship it and tell us

Submit it below. If it's useful and it works, we'll feature it here and link it from the docs — no fee, no exclusivity, keep your own license.

Submit your trading app

Built something on CryptoDataAPI? Send it over. We review every submission by hand — we'll actually open the repo and run it — and email you either way. Open source isn't required, but a link we can inspect is.

A couple of sentences is plenty — 30 characters minimum.

We use your email only to reply about this submission — it isn't added to any mailing list. Submitting doesn't transfer any rights in your code; if we feature it, we link to it. See the terms.