sh.kwant/kwant
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Publisher-provided description
Quant intelligence over MCP: backtest, signals, screens, scores & portfolios for US & TSX stocks.
Summary by lookupd
Runs quant backtests, technical indicators, stock screens, scoring and portfolio statistics for US and TSX equities.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http kwant https://kwant.sh/mcp
Codex, remote (streamable-http)
codex mcp add kwant --url https://kwant.sh/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"kwant": {
"url": "https://kwant.sh/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (16 tools)
Publisher-provided text
get_price_historyGet historical OHLCV price bars for a ticker. US symbols are bare (AAPL, MSFT); TSX symbols use the Yahoo .TO form (RY.TO) or the TSX:RY form. interval is one oget_quoteGet the latest available quote for a ticker. US symbols are bare (AAPL); TSX symbols use the Yahoo .TO form (RY.TO) or the TSX:RY form. Returns an envelope whosget_fundamentalsGet fundamental data for a ticker (profile + key ratios). US symbols are bare (AAPL); TSX symbols use the Yahoo .TO form (RY.TO) or the TSX:RY form. Returns ancompute_indicatorCompute a technical indicator (RSI, MACD, SMA, EMA, BBANDS, ATR, ADX, STOCH) over a ticker's price history. Returns the warmup-aligned series plus the latest vadetect_signalsDetect classic technical-analysis signals on a ticker's price history. Each requested signal is evaluated and reported as triggered/not-triggered with a date ancompute_statsCompute quantitative statistics (volatility, sharpe, max_drawdown, returns, beta, correlation) over a ticker's daily price history. Omit `metrics` to default tocompare_tickersRank two or more tickers against each other by a single metric (total_return, volatility, sharpe, max_drawdown, last_price). Symbols that cannot be resolved (orscreenScreen a stock universe for tickers matching quantitative filters (logical AND). Fields: price, rsi, sma_50, sma_200, volatility, sharpe, max_drawdown, total_rebacktestBacktest a simple long-only technical strategy on daily price history. Strategies: sma_cross (golden/death cross of SMA 50/200), rsi_reversion (enter RSI<30, exscreen_with_scoresRank a stock universe by a continuous cross-sectional signal score (rank 1 = highest z-score). Signals: jt_momentum, mean_reversion, rsi_filtered_momentum, trencompute_universe_scoresScore and rank a universe of tickers by a cross-sectional signal. Resolves either a named universe (SP500, TSX) or an explicit tickers override, bulk-fetches dabuild_monthly_universeRank a universe of tickers by monthly dollar volume with trailing returns. Resolves either a named universe (SP500, TSX) or an explicit tickers override, bulk-fconstruct_portfolioTurn a {ticker: score} mapping into long-only portfolio weights. Selects names and assigns non-negative weights that sum to 1.0 using the chosen method: top_n_wrun_portfolio_backtestBacktest a rebalanced, multi-ticker, long-only quant portfolio. Fetches daily history for every ticker over range, then runs a walk-forward simulation: at eachcompute_portfolio_statsCompute portfolio-level statistics for a weighted basket of tickers. Given a {ticker: weight} mapping, fetches each ticker's daily history over range and returncompute_correlation_matrixCompute the pairwise return-correlation matrix for a list of tickers. Fetches each ticker's daily history over range, converts it to daily returns, and computes
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 2134 ms
- First indexed:
- Last seen in registry:
- Website: https://kwant.sh
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