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backtest_strategy

Backtest a trading strategy on historical data. 6 presets:

How to control backtest_strategy ↓

What backtest_strategy does on Momentum

AI agents invoke backtest_strategy to trigger actions in Momentum. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

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Why backtest_strategy needs a policy

Backtesting executes a trading strategy simulation engine against datasets, which constitutes running code/computation with potentially significant consequences if misused (e.g., generating misleading results that inform real trades). While it doesn't directly move money, it falls under Execute due to running strategy logic/computation.

From the tool's definition 'Backtest a trading strategy on historical data' — runs a strategy simulation/execution engine against historical data using presets, triggering complex computational operations whose results depend on the provided arguments

Documented attack patterns abuse exactly the kind of access backtest_strategy gives an agent:

How to control backtest_strategy

PolicyLayer is an MCP gateway — it sits between your AI agents and Momentum, and nothing reaches the server without passing your rules. This is the rule we recommend for backtest_strategy:

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

backtest_strategy stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Momentum — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about backtest_strategy

What does the backtest_strategy tool do? +

Backtest a trading strategy on historical data. 6 presets:. It is categorised as a Execute tool in the Momentum 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_strategy? +

Register the Momentum MCP server in PolicyLayer and add a rule for backtest_strategy: 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 Momentum. Nothing to install.

What risk level is backtest_strategy? +

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

Can I rate-limit backtest_strategy? +

Yes. Add a rate_limit block to the backtest_strategy 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_strategy completely? +

Set action: deny in the PolicyLayer policy for backtest_strategy. 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_strategy? +

backtest_strategy is provided by the Momentum MCP server (mphinance/momentum-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Momentum tool call.

Start from Momentum, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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52 Momentum tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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