# sh.kwant/kwant (remote · kwant.sh)

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

- Trust score: 63/100 (medium)
- Change this week: +6
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-04

## Components

- remote · `kwant.sh`: 63/100 (this document), [markdown](https://verifymcp.io/servers/sh-kwant-kwant/kwant.md), [page](https://verifymcp.io/servers/sh-kwant-kwant/kwant)

## Channel facts

- Endpoint: `https://kwant.sh/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-04.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 16 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 60/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 3215 tokens (~200/item across 16 items; 16 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 30/100
  - Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http sh-kwant-kwant https://kwant.sh/mcp
```

### Codex

```toml
[mcp_servers.sh-kwant-kwant]
url = "https://kwant.sh/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "sh-kwant-kwant": {
      "type": "remote",
      "url": "https://kwant.sh/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add sh-kwant-kwant --url https://kwant.sh/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  sh-kwant-kwant:
    url: "https://kwant.sh/mcp"
```

### Other

```json
{
  "mcpServers": {
    "sh-kwant-kwant": {
      "type": "http",
      "url": "https://kwant.sh/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-01 (score 62, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 61, +3)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 58, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 58, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 57, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 56, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 56)

First indexed and scored.

## MCP tools (16)

### `get_price_history` (~184 tokens)

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,1d,1wk,1mo (default 1d); range is one of 5d,1mo,3mo,6mo,1y,2y,5y,max (default 1y). Returns an envelope whose values contains interval, range, currency, count, and bars (records with an ISO timestamp plus open, high, low, close, volume). (paid: $0.0050/call)

Input parameters:

- `interval` (string)
- `range` (string)
- `ticker` (string, required)

### `get_quote` (~99 tokens)

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 quote fields (price, currency, previous_close, change, change_percent, volume, market_state, asof as an ISO string). (paid: $0.0050/call)

Input parameters:

- `ticker` (string, required)

### `get_fundamentals` (~129 tokens)

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 values holds available fundamentals: name, exchange, currency, sector, industry, market_cap, pe_ratio, forward_pe, eps, dividend_yield, beta, fifty_two_week_high, fifty_two_week_low, asof. Fields not covered by the provider are null. (paid: $0.0050/call)

Input parameters:

- `ticker` (string, required)

### `compute_indicator` (~363 tokens)

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 summary. Tune the window with `length` (SMA/EMA/RSI/ATR/ADX/BBANDS), `fast`/`slow`/`signal` (MACD), `std` (BBANDS), or `k`/`d`/`smooth_k` (STOCH) — pass them either as top-level fields OR nested under `params`; both work. `window` and `period` are accepted as aliases for `length`. NOTE: for a long window like SMA(200) you MUST set length=200 (the default is 20). The response echoes the effective params it used, and the summary shows the window, e.g. `SMA(200)`. Ensure `range` spans at least `length` bars (e.g. range=2y for SMA(200)) or the series is all-warmup NaN. (paid: $0.0050/call)

Input parameters:

- `d` (number|string)
- `fast` (number|string)
- `indicator` (string, required)
- `interval` (string)
- `k` (number|string)
- `length` (number|string)
- `params`
- `period` (number|string)
- `range` (string)
- `signal` (number|string)
- `slow` (number|string)
- `smooth_k` (number|string)
- `std` (number|string)
- `ticker` (string, required)
- `window` (number|string)

### `detect_signals` (~228 tokens)

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 detail under signal_summary. Signals (omit `signals` to check all six): golden_cross = SMA(50) crosses above SMA(200) within `lookback`; death_cross = SMA(50) crosses below SMA(200); macd_cross = MACD line crosses above its signal line (bullish); rsi_oversold = RSI(14) below 30 at the latest bar; rsi_overbought = RSI(14) above 70 at the latest bar; breakout = latest close exceeds the highest high of the prior 20 bars. A signal needing more history than is available is returned not-triggered with an insufficient-history detail and a warning — it never fails the call. (paid: $0.0050/call)

Input parameters:

- `interval` (string)
- `lookback` (integer)
- `range` (string)
- `signals` (array)
- `ticker` (string, required)

### `compute_stats` (~130 tokens)

Compute quantitative statistics (volatility, sharpe, max_drawdown, returns, beta, correlation) over a ticker's daily price history. Omit `metrics` to default to volatility/sharpe/max_drawdown/returns. `beta` and `correlation` require a `benchmark` ticker; `risk_free_rate` is used only by the Sharpe ratio. (paid: $0.0050/call)

Input parameters:

- `benchmark` (string|null)
- `metrics`
- `range` (string)
- `risk_free_rate` (number)
- `ticker` (string, required)

### `compare_tickers` (~117 tokens)

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) are skipped and noted in `warnings` rather than failing the call. Returns a ranked list of {ticker, value, rank, currency} (rank 1 = best). (paid: $0.0050/call)

Input parameters:

- `metric` (string)
- `range` (string)
- `tickers` (array, required)

### `screen` (~116 tokens)

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, garman_klass_vol. Ops: lt, lte, gt, gte. (paid: $0.0100/call)

Input parameters:

- `filters` (array, required)
- `max_tickers` (integer)
- `range` (string)
- `sort_by`
- `universe` (string, required)

### `backtest` (~119 tokens)

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_cross (MACD line vs signal). No-lookahead: signals act on the next bar's close. Returns trades + performance metrics. (paid: $0.0100/call)

Input parameters:

- `params`
- `range` (string)
- `strategy` (string, required)
- `ticker` (string, required)

### `screen_with_scores` (~105 tokens)

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 are relative to the scanned set. (paid: $0.0100/call)

Input parameters:

- `max_tickers` (integer)
- `range` (string)
- `signal` (string)
- `top_n` (integer)
- `universe` (string, required)

### `compute_universe_scores` (~321 tokens)

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 over range, computes a raw per-ticker score for the chosen signal, then converts those raw scores into cross-sectional z-scores and ranks them across the universe (rank 1 = highest z-score). Signals (Jegadeesh–Titman momentum is 12-month minus 1-month return on month-end resampled closes): jt_momentum (that JT 12-1 momentum), mean_reversion (negative trailing 1-month monthly return), rsi_filtered_momentum (JT momentum, names with a 14-day simple RSI > 70 excluded before z-scoring), trend_quality (JT momentum, names trading at or below their 200-day SMA excluded). Tickers with too little history or that fail to fetch are dropped and reported in warnings. range is the lookback (5d,1mo,3mo,6mo,1y,2y,5y,max; default 2y); top_n truncates the ranked output. values holds universe, signal, range, scored, and results (a list of {ticker, raw, zscore, rank} ordered by rank). (paid: $0.0100/call)

Input parameters:

- `range` (string)
- `signal` (string)
- `tickers` (array)
- `top_n` (integer)
- `universe` (string)

### `build_monthly_universe` (~298 tokens)

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 over range, resamples each to monthly bars (open=first, high=max, low=min, close=last, volume=sum), and per ticker computes trailing returns over 1/3/6/12 periods plus the latest monthly dollar volume (close * volume). Tickers are ranked by latest dollar volume (descending) and the top top_n are returned. Tickers that fail to fetch or lack enough monthly history are skipped and noted in warnings. range is the lookback (5d,1mo,3mo,6mo,1y,2y,5y,max; default 2y); use a multi-year window so the 12-month horizon is well-defined. values holds range, as_of (latest monthly date, YYYY-MM-DD), count, and results — a ranked list of {ticker, dollar_volume, returns: {1m,3m,6m,12m}, rank} where any horizon longer than the available history is null. (paid: $0.0100/call)

Input parameters:

- `range` (string)
- `resample` (string)
- `tickers` (array)
- `top_n` (integer)
- `universe` (string)

### `construct_portfolio` (~198 tokens)

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 clipped score), equal_weight, risk_parity (inverse-volatility), concentrated_vol (highest-vol from a top-score pool), or sharpe_optimized (max-Sharpe long-only). The last three fetch daily history over range (5d,1mo,3mo,6mo,1y,2y,5y,max) and convert it to returns; tickers that fail to fetch are dropped with a warning. Returns the standard envelope; values holds method, top_n, a weights map, and n_holdings. (paid: $0.0100/call)

Input parameters:

- `method` (string)
- `range` (string)
- `scores` (object, required)
- `top_n` (integer)

### `run_portfolio_backtest` (~254 tokens)

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 the chosen signal (jt_momentum, mean_reversion, rsi_filtered_momentum, trend_quality) scores each name using only data up to that date, and method turns those scores into long-only weights. Returns gross and net (after cost) performance. rebalance is M (monthly) or Q (quarterly); cost_bps is round-trip cost on turnover; benchmark drives the hit-rate metric and (with crash_filter) a regime filter holding cash when the benchmark trailing-12m return is negative. Returns the standard envelope; values holds equity_curve, rebalances, metrics, holdings and the echoed parameters. (paid: $0.0100/call)

Input parameters:

- `benchmark` (string|null)
- `cost_bps` (number)
- `crash_filter` (boolean)
- `method` (string)
- `range` (string)
- `rebalance` (string)
- `signal` (string)
- `tickers` (array, required)
- `top_n` (integer)

### `compute_portfolio_stats` (~169 tokens)

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-level (not per-ticker) volatility, sharpe, max_drawdown and total_return of the weighted basket. weights need NOT sum to 1 (normalized internally). Tickers that cannot be fetched are dropped, a note is added to warnings, and the remaining weights are renormalized. risk_free_rate is an annual rate used only by Sharpe. Returns the standard envelope; values holds range, the normalized weights used, and the stats dict. (paid: $0.0100/call)

Input parameters:

- `range` (string)
- `risk_free_rate` (number)
- `weights` (object, required)

### `compute_correlation_matrix` (~144 tokens)

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 Pearson correlation (aligned on shared dates). Requires at least two tickers; tickers that cannot be fetched are dropped and noted in warnings (at least two must survive). Returns the standard envelope; values holds range, the tickers used, and matrix — a nested dict {rowTicker: {colTicker: correlation}} with a 1.0 diagonal. (paid: $0.0100/call)

Input parameters:

- `range` (string)
- `tickers` (array, required)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/sh-kwant-kwant/kwant#diagnostics

## Score history

- 2026-08-04: 63
- 2026-08-03: 63
- 2026-08-02: 62
- 2026-08-01: 62
- 2026-07-31: 61
- 2026-07-30: 58
- 2026-07-29: 58
- 2026-07-28: 57
- 2026-07-27: 56
- 2026-07-26: 56

## Links

- Remote endpoint: https://kwant.sh/mcp
- Website: https://kwant.sh/
- Changelog RSS feed: https://verifymcp.io/servers/sh-kwant-kwant/kwant/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/sh-kwant-kwant/kwant/changelog.json
- HTML version of this page: https://verifymcp.io/servers/sh-kwant-kwant/kwant