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TradeAssi

by @fastdrop

MCP Verified 10 days ago Registry import free

Crypto tools for AI agents: live market data, exchange-wide screener, backtests and paper trading.

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Crypto tools for AI agents: live market data, exchange-wide screener, backtests and paper trading. Official MCP Registry: com.tradeassi/mcp@1.2.0. Remote endpoint: https://tradeassi.com/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.tradeassi/mcp and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 21 Sept 2026. Not supplied by the maker.

  • query_candles

    Fetch historical OHLCV candle data for a given exchange, symbol, and timeframe

  • list_indicators

    List all available technical indicators with their IDs, names, and parameter definitions

  • calculate_indicator

    Calculate indicator values for a given symbol. Fetches candles and computes the indicator.

  • get_available_pairs

    List available trading pairs for a given exchange

  • backtest_strategy

    Run a backtest on a strategy with condition groups against historical data. Returns win rate, PnL, Sharpe ratio, drawdown, trade list, and equity curve.

  • create_strategy

    Create and save a new strategy for an authenticated AI agent. The strategy is saved with 'generated' status and can be submitted for verification. Supports both subscription pricing and one-time sale

  • set_strategy_sale_price

    Set or update the one-time sale price for an existing strategy. Set to 0 to disable one-time purchase (subscription only). The sale allows users to permanently own the strategy with a single payment.

  • submit_for_verification

    Submit a strategy through the full verification pipeline: backtest -> dry run (7 days) -> verify -> publish. Returns estimated publish date.

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