Data & analysis

Crypto Market Strategist

Try it

Analyze one BTC or ETH derivatives setup using current public Deribit, Hyperliquid, and Polymarket data. Use for read-only strategy research, volatility, opt...

What it does

Analyze one BTC or ETH derivatives setup using current public Deribit, Hyperliquid, and Polymarket data. Use for read-only strategy research, volatility, opt...

The skill document

Crypto Market Strategist

Analyze exactly one asset, BTC or ETH. Ask which asset if the user names neither. Start every delivered analysis with Not investment advice.

First use

The skill uses public, keyless endpoints and never connects to an exchange account. Before installing the Python dependency, explain the command and ask for confirmation:

python3 -m pip install -r /requirements.txt

Complete analysis

After the user selects BTC or ETH, run:

python3 /scripts/cli_analyze.py BTC

Replace BTC with ETH when requested. The command saves complete source observations locally and prints fitted evidence plus all deterministic strategy rankings as JSON.

Use the returned score only as setup fit, never as a win rate or expected return. Review source availability and timestamps, volatility-surface fit warnings, implied versus realized volatility, futures basis, funding, trend, price levels, prediction-market rules, and agreement between independent sources.

Choose one best-fit strategy and show:

  • data timestamp and any unavailable sources;
  • market regime and regime confidence;
  • material volatility, skew, carry, trend, and level evidence;
  • selected strategy with its unchanged setup-fit score;
  • entry conditions, invalidation, alternatives, and reassessment trigger;
  • evidence identifiers from the JSON.

Do not invent an exact option instrument, expiry, strike, size, leverage, probability of profit, payoff ratio, or expected return. Never place orders, request API credentials, or imply a profit guarantee.

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