MCP server

Noon Barbari Backtesting Official

xyz.noonbarbari/backtesting

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Crypto backtesting tools: real backtests with robustness verdicts, daily signals and market data.

Website

At a glance

Type

MCP server

Publisher

noonbarbari.xyz (verified by the MCP Registry)

Status

Working at last check

Tools

11

Token cost

About 1,885 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http backtesting https://noonbarbari.xyz/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.backtesting]
url = "https://noonbarbari.xyz/mcp"

Gemini CLI

{"mcpServers":{"backtesting":{"httpUrl":"https://noonbarbari.xyz/mcp"}}}

Cursor

{"mcpServers":{"backtesting":{"url":"https://noonbarbari.xyz/mcp"}}}

VS Code

{"servers":{"backtesting":{"type":"http","url":"https://noonbarbari.xyz/mcp"}}}

Antigravity

agy mcp add backtesting https://noonbarbari.xyz/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"backtesting","server_url":"https://noonbarbari.xyz/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"backtesting","server_url":"https://noonbarbari.xyz/mcp"}

Tools

• check_overfitting ~322 tokens
  Compute the Deflated Sharpe Ratio (Bailey & Lopez de Prado 2014) for YOUR OWN backtest: given its annualised Sharpe, length, and how many strategy variants you tried before selecting it, returns the probability the result is real skill rather than selection luck, the luck bar it must clear, and a pl
• compare_strategies ~173 tokens
  Head-to-head comparison of two strategy templates from real monthly engine runs across ~50 coins: per-coin win count, median out-of-sample Sharpe, survival counts, median return and drawdown. Use strategy names from list_strategies (e.g. 'super_trend', 'ema_crossover').
• get_buy_hold ~117 tokens
  What a $1,000 buy of a coin on Jan 1 of each available year would be worth today — ROI, peak value and date, and the maximum drawdown endured along the way. Real Binance data, refreshed daily.
• get_coin_signals ~151 tokens
  Today's daily-bar indicator readings for crypto coins, computed by a real backtesting engine from Binance closes: price, RSI-14, MACD state, SMA 50/200 posture, SuperTrend, Bollinger position, ATR volatility, 52-week range. Pass a coin ticker (e.g. 'btc') for one coin, or omit for the whole 50-coin
• get_dca ~242 tokens
  Dollar-cost-averaging outcome for a coin: what buying a fixed dollar amount on a schedule (weekly or monthly) since a start date would be worth today — total invested, units, average cost, current value and ROI — plus the lump-sum comparison and the worst drawdown endured. Real Binance closes, refre
• get_overfitting_index ~114 tokens
  The Crypto Overfitting Index: the monthly share (%) of default-parameter strategy configurations (10 templates × 50 coins) whose out-of-sample Sharpe turned negative — how much of what backtests promise fails on unseen data. Returns the current reading and full history.
• list_strategies ~86 tokens
  List the strategy templates available for backtesting and comparison (name, title, one-line description). Use the returned `name` value as the strategy identifier in other tools.
• query_dataset ~194 tokens
  Query our open 11,440-run curve-fitting study (10 strategy templates x 20 coins, 70/30 in-sample/out-of-sample split). Returns the headline overfitting stats and the tuned picks matching an optional template and/or coin filter — each with in-sample vs out-of-sample Sharpe, the Sharpe haircut, and th
• run_backtest ~208 tokens
  Run a real backtest of a strategy template on BTC/USDT from a start date (public what-if engine; may take up to a minute on a cache miss; rate-limited). Returns net return, max drawdown, trade count, a robustness score with an overfitting verdict, and a shareable result URL.
• search_answers ~130 tokens
  Search Noon Barbari's Q&A knowledge base of direct, data-grounded answers about backtesting, overfitting, validation, indicators, risk management and crypto markets. Returns the top matching questions with their full answers.
• search_glossary ~148 tokens
  Search Noon Barbari's trading glossary for a plain-language definition of an indicator, metric or concept (RSI, MACD, Sharpe ratio, drawdown, walk-forward, overfitting, and 60+ more). Returns the top matching terms with a short definition, the full explanation, and a link.

Browse

• Notes and wikis
• Stocks and markets
• Crypto and blockchains

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