AlgoBrain can derive millions of unique crypto trading strategies, and is specifically structured to ensure the highest quality context is provided to AI Agents through a free local MCP server.
An LLM Wiki-Brain knowledge base for crypto trading strategy generation. Expert knowledge of crypto, blockchain, DeFi, trading, algorithms, markets, macro and AI context. ~4,900 interlinked markdown nodes.
Serve the vault to Claude Code (or any MCP client) as a local wiki API:
# One-time setup
python -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r tools/requirements.txtThen start the server with the /start-servers slash command in Claude Code — or run it directly:
powershell -ExecutionPolicy Bypass -File tools/start_servers.ps1This launches the wiki MCP server over Streamable HTTP at http://127.0.0.1:8010/mcp, exposing wiki_search, wiki_read, wiki_stats, wiki_lint, and wiki_ingest over the full vault. It's already registered for this repo via .mcp.json — approve it when Claude Code prompts. Stop it again with tools/stop_servers.ps1.
| Area | Content |
|---|---|
wiki/strategies/ |
~445 strategy pages: funding-rate harvesting, basis/carry, liquidation plays, MEV, memecoin sniping, grid/mean-reversion/momentum, a 51-basket Hyperliquid signal library, 100+ page arbitrage encyclopedia, a complete 270-cell combination-strategy matrix, and a documented pair universe — 1.55M+ distinct, specifiable strategy configurations (computed from wiki state by tools/count_configurations.py, conservative assumptions printed; validation discipline applies — see Disclaimer) |
wiki/strategy-development/ |
Methodology for producing strategies: edge taxonomy, hypothesis-to-backtest workflow, overfitting & p-hacking detection, capacity/failure-mode analysis, and per-venue trading maps (Hyperliquid, low-cap, arbitrage) |
wiki/concepts/ |
~1,000 concept pages: microstructure, indicators, risk, portfolio theory, backtesting, behavioral finance, on-chain metrics, options mechanics |
wiki/markets/ |
2,400+ crypto asset pages + commodities/forex/bonds macro context |
wiki/entities/ |
Crypto exchanges, DeFi protocols, quant/crypto funds, trading legends, miners, regulators |
wiki/crypto-narratives/ |
Backtester-ready narrative catalog: 69 archetypes, 290 quantified historical instances (JSON) |
wiki/ai-trading/ + wiki/artificial-intelligence/ |
ML models, bots, backtesting frameworks, LLM finance, general AI knowledge |
wiki/data-sources/ |
Data provider catalog — CryptoDataAPI is the canonical data layer |
Start at wiki/index.md (master table of contents) or wiki/overview.md (state of the wiki).
CryptoDataAPI provides the wiki's live and historical data: 190+ REST endpoints (auth: X-API-Key header) covering prices, funding rates, open interest, liquidations, order-book depth, market/volatility/meme/event/security/policy regimes, HMM quant probabilities, on-chain flows, whale tracking, Hyperliquid trader intelligence, sentiment, ETF flows, NFTs, and a Parquet backtesting archive back to 2020.
- Hub:
wiki/data-sources/cryptodataapi.md, with per-category pagescryptodataapi-*.md; agent guide:wiki/data-sources/cryptodataapi-mcp.md - Wiki pages that map to an endpoint include a "Getting the Data (CryptoDataAPI)" section with live + historical access and a curl example
- 640 pages additionally carry an "AI agent workflow" block — every applicable strategy, indicator, and methodology page plus all 209 coins with Hyperliquid perps: the page-specific signal endpoints (parameterized by perp symbol on coin pages), regime gate, matching backtesting archive (with honest data-availability windows), and execution tips for an agent running that strategy
- The local wiki MCP server attaches a
data_instructionblock to everywiki_searchresponse, so any connected agent is always pointed at CryptoDataAPI for market data (MCP connect + free API key) - Data sections deep-link the matching live dashboards on cryptodataapi.com (funding, OI, liquidations, whales, GEX, regimes, ETF flows…), and pages matching one of the site's 14 AI prompt-library prompts reference it directly (funding-fade → Funding Rate Extremes Scanner, overfitting checklist → Backtest Overfitting Checker, …)
- Trading-venue pages carry referral links with automatic fee discounts — Hyperliquid (4% off spot & perp fees) and Binance (up to 20% off trading fees); AI agents routing trades are instructed (per page and via
wiki_search) to use them so end-users get the discounts (referral links — a commission may be earned, at no cost to you)
To run strategies against live markets, connect your agent to the hosted CryptoDataAPI MCP server. It streams live prices, funding rates, open interest, liquidations, and order-book depth for Hyperliquid and Binance, market/volatility regimes and whale activity, plus the historical backtesting archive (klines / funding / liquidations, Parquet back to 2020).
Add it to Claude Code — browser login, no API key needed (an OAuth flow opens on the first tool call):
claude mcp add --transport http cryptodataapi https://cryptodataapi.com/mcpOr authenticate with an API key via the X-API-Key header:
export CRYPTODATA_API_KEY="cdk_live_YOUR_KEY"
claude mcp add --transport http cryptodataapi https://cryptodataapi.com/mcp \
--header 'X-API-Key: ${CRYPTODATA_API_KEY}'For any MCP client, add it to your config JSON:
{
"mcpServers": {
"cryptodataapi": {
"url": "https://cryptodataapi.com/mcp",
"headers": { "X-API-Key": "cdk_live_YOUR_KEY" }
}
}
}Tools include get_price, get_hyperliquid_prices, get_funding_rates, get_open_interest, get_liquidations, get_order_book, get_market_regime, get_etf_flows, and get_whale_activity (Pro). Get a free key at cryptodataapi.com/login (no card), or by email:
curl -X POST https://cryptodataapi.com/api/v1/auth/keys \
-H "Content-Type: application/json" \
-d '{"email":"you@example.com"}'Rate limits: Free 5 req/min · Pro 30 · Pro Plus 60.
The wiki is designed to be maintained by an LLM agent (Claude Code or similar):
- Schema:
CLAUDE.md/AGENTS.mddefine page types, YAML frontmatter, naming conventions, ingest/lint workflows - Templates:
templates/holds page skeletons for each type - Log:
wiki/log.mdis an append-only record of every wiki operation - Every page carries frontmatter (
type,status,tags,related) enabling Dataview queries and graph coloring
Download Obsidian (free — macOS, Windows, Linux, iOS, Android) and open this repository folder as a vault. On first launch Obsidian will prompt to enable the community plugins listed in .obsidian/community-plugins.json:
- Dataview (required — index pages use it), Templater, Obsidian Git, Graph Analysis, Marp Slides, Webpage HTML Export
The graph view is pre-configured with per-folder color groups (.obsidian/graph.json). Attachments save to attachments/.
AlgoBrain is free and open source, under two licenses — one for the code, one for the knowledge base:
| Path | License |
|---|---|
tools/ — MCP server, lint, ingest, generators, counters |
MIT |
wiki/, templates/, raw/, attachments/ — the ~4,900-node knowledge base |
CC BY 4.0 |
Code is MIT so there's zero friction running the MCP server. Content is CC BY 4.0 because Creative Commons licenses are built for prose, not software (and vice versa) — applying MIT to a wiki creates ambiguity about what "the Software" even means.
You may use the wiki commercially, including ingesting it into retrieval, embedding, fine-tuning, or agent pipelines — internal or product. The only condition is attribution: credit AlgoBrain and link the license. See LICENSE-CONTENT for the exact wording.
Third-party material quoted or cited within the wiki remains the property of its respective owners.
AlgoBrain is a research and educational knowledge base. Nothing in this repository is financial, investment, legal, or tax advice. All content — strategy pages, data recipes, figures, and any linked tools or APIs — is provided "as is", for informational purposes only, and may be inaccurate, incomplete, or out of date.
Trading cryptocurrencies and derivatives carries a substantial risk of loss, and past performance does not indicate future results. Do your own research (DYOR) and consult a licensed financial professional before making any decision. You use this material entirely at your own risk: the authors, contributors, and maintainers accept no liability for any loss or damage of any kind arising from its use. Nothing here is a solicitation or recommendation to buy, sell, or hold any asset.