Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,521Letters: 13Defects: 1,321counted 1 min ago
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MCP serversh.kwant/kwant

Quant intelligence over MCP: backtest, signals, screens, scores & portfolios for US & TSX stocks.
UNRATEDActivestreamable-httpkwant.sh

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

The tools this server lists, read out of the definition it returned
ToolSchema
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 yourselfnpx teppi-check https://kwant.sh/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2QPC7MYSN2V1F9VSW1T4