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backtest

Run historical backtests on trading strategies using VectorBT. Fetches OHLCV from exchange (ccxt), computes indicators (RSI/MACD/BB/EMA/ATR), evaluates entry/exit signals, simulates portfolio, returns structured metrics (return%, Sharpe, max drawdown, win rate, profit factor). Optionally generate...

Part of the Bitget server.

backtest can trigger actions in Bitget, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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Free to start. No card required.

AI agents invoke backtest to trigger processes or run actions in Bitget. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

backtest can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "backtest": {
      "limits": [
        {
          "counter": "backtest_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Bitget policy for all 19 tools.

Get this rule live on your own Bitget server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access backtest gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so backtest only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the backtest tool do? +

Run historical backtests on trading strategies using VectorBT. Fetches OHLCV from exchange (ccxt), computes indicators (RSI/MACD/BB/EMA/ATR), evaluates entry/exit signals, simulates portfolio, returns structured metrics (return%, Sharpe, max drawdown, win rate, profit factor). Optionally generates equity curve chart. Supports pre-fetched OHLCV via ohlcv_json for coingecko/yfinance data.. It is categorised as a Execute tool in the Bitget MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on backtest? +

Register the Bitget MCP server in PolicyLayer and add a rule for backtest: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Bitget. Nothing to install.

What risk level is backtest? +

backtest is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit backtest? +

Yes. Add a rate_limit block to the backtest rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block backtest completely? +

Set action: deny in the PolicyLayer policy for backtest. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides backtest? +

backtest is provided by the Bitget MCP server (bitget-ai/bitget-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bitget tool call.

Deterministic rules across all 19 Bitget tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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