MCP serversh.kwant/kwant
Quant intelligence over MCP: backtest, signals, screens, scores & portfolios for US & TSX stocks.
Overview
Score?
UNRATED 0.672
of what a free look can see, on 30 looks
Looks
35
last 9 hr ago
Tools
16
More info
URL
kwant.sh/mcp
streamable-http
Says it is
kwant 0.1.0
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.672 · highest on record 0.8561
Toolsfrom sha256:fe640d1b51…fb056b
| Tool | Schema |
|---|---|
| backtest Backtest 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, exit RSI>70), macd_cro |
input · no output |
| build_monthly_universe Rank a universe of tickers by monthly dollar volume with trailing returns. Resolves either a named universe (SP500, TSX) or an explicit tickers override, bulk-fetches daily OHLCV o |
input · no output |
| compare_tickers Rank two or more tickers against each other by a single metric (total_return, volatility, sharpe, max_drawdown, last_price). Symbols that cannot be resolved (or lack enough history |
input · no output |
| compute_correlation_matrix Compute 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 the pairwise Pearso |
input · no output |
| compute_indicator Compute 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 values and a one-line |
input · no output |
| compute_portfolio_stats Compute portfolio-level statistics for a weighted basket of tickers. Given a {ticker: weight} mapping, fetches each ticker's daily history over range and returns the portfolio-leve |
input · no output |
| compute_stats Compute quantitative statistics (volatility, sharpe, max_drawdown, returns, beta, correlation) over a ticker's daily price history. Omit `metrics` to default to volatility/sharpe/m |
input · no output |
| compute_universe_scores Score 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 daily price history ov |
input · no output |
| construct_portfolio Turn 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_weighted (weight by c |
input · no output |
| detect_signals Detect classic technical-analysis signals on a ticker's price history. Each requested signal is evaluated and reported as triggered/not-triggered with a date and human-readable det |
input · no output |
| get_fundamentals Get 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 an envelope whose value |
input · no output |
| get_price_history Get 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 of 1m,5m,15m,30m,1h,1 |
input · no output |
| get_quote Get 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 whose values holds the q |
input · no output |
| run_portfolio_backtest Backtest a rebalanced, multi-ticker, long-only quant portfolio. Fetches daily history for every ticker over range, then runs a walk-forward simulation: at each period-end rebalance |
input · no output |
| screen Screen a stock universe for tickers matching quantitative filters (logical AND). Fields: price, rsi, sma_50, sma_200, volatility, sharpe, max_drawdown, total_return, dollar_volume, |
input · no output |
| screen_with_scores Rank a stock universe by a continuous cross-sectional signal score (rank 1 = highest z-score). Signals: jt_momentum, mean_reversion, rsi_filtered_momentum, trend_quality. Scores ar |
input · no output |
Verify it yourself
npx teppi-check https://kwant.sh/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2QPC7MYSN2V1F9VSW1T4