traderclaw-agentic-trading

Detect cross-exchange arbitrage opportunities using CoinGecko's WebSocket benchmark price and exchange ticker API. Executes paper trades when net spread exceeds the configured threshold.

On-demand backtesting skill. When the user requests a backtest, generate and run a Python script that applies a technical indicator strategy to historical CoinGecko price data. Report performance metrics.

Use this skill for any request involving cryptocurrency market data, coin prices, trading volume, market cap, OHLC charts, historical data, exchanges, derivatives, NFTs, DeFi, on-chain token data, liquidity pools, DEX data, or anything powered by CoinGecko or GeckoTerminal APIs. Trigger this skill whenever the user asks about crypto prices, token data, market trends, or wants to call any CoinGecko or GeckoTerminal endpoint — even if they don't explicitly say "CoinGecko". Also trigger when the user asks about API keys, rate limits, or authentication for these APIs.

Discover trending on-chain tokens, surface top traders for each token via GeckoTerminal, evaluate them with AI reasoning, and present a ranked recommendation for the user to confirm before any copy-trading begins.

Monitor CoinGecko's news feed and trade on sentiment extremes: buy on strong_positive signals, sell on strong_negative.

Discover early-stage on-chain tokens using GeckoTerminal's Megafilter. Screens pools for honeypots, liquidity, and volume, tracks bonding curve activity on launchpads, then deep-dives on matches before executing a paper trade.