Llmquant Crypto

LLMQuant Crypto

This category routes crypto research and trading-context workflows. It covers market regime, token-level diligence, and perpetual funding or basis monitoring.

Routing Rules

• Identify the asset, chain, venue, horizon, benchmark, and requested decision.
• Select the closest workflow below.
• Open only that workflow and any referenced local resources.
• Use LLMQuant Data for crypto prices, liquidity, funding, open interest, on-chain context, macro, ETF, and risk inputs.
• Report timestamps, venue coverage, observation windows, stale notices, and unavailable future inputs.

Workflow Index

| User intent | Workflow |

|---|---|

| Diagnose the crypto market regime across BTC, ETH, majors, liquidity, leverage, and macro. | workflows/crypto-market-regime.md |

| Build a token or protocol research memo with tokenomics, usage, valuation, and risk evidence. | workflows/crypto-token-research.md |

| Monitor perpetual funding, basis, open interest, and leverage crowding. | workflows/crypto-perp-funding-monitor.md |

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

• Retrieve crypto spot prices, OHLCV history, realized volatility, drawdowns, correlations, and liquidity.
• Retrieve perpetual funding, basis, open interest, liquidations, exchange flows, and venue-level timestamps.
• Retrieve token supply, unlock schedules, protocol usage, revenue, TVL, holder concentration, governance, and security-risk context.
• Retrieve macro, rates, liquidity, ETF, and equity-market inputs that affect crypto risk appetite.

Fallback:

• If on-chain, funding, or venue-level data is unavailable, name the missing input and continue only with available price, macro, or user-provided evidence.
• Do not infer live funding, liquidity, TVL, or holder behavior from memory.