# AIAgentwithPineScript

> Use this tool when you need to automate strategy backtesting for Binance Futures tickers, running simulations by symbol, timeframe, and date range, and receiving structured results on trades, win rate, and profit. It solves problems of manual backtesting and strategy optimization, providing a programmable interface to pass inputs and receive outputs. Ideal for use cases requiring rapid and observable backtesting, with support for writing and testing custom strategies via PineScript.

Canonical page: https://skillsregistry.net/skills/tradingviewbacktestassistant-aiagentwithpinescript  
JSON: https://api.skillsregistry.net/v1/skills/tradingviewbacktestassistant-aiagentwithpinescript

## Description

tv-pinescript-backtest-mcp exposes a remote MCP endpoint so agents can:

run strategy backtests by symbol/timeframe/date range,
pass strategy inputs programmatically,
receive structured backtest results (trades, win rate, profit, drawdown),
keep long-running runs observable via progress notifications,
support Binance Futures tickers only,
enforce a maximum of 1440 candles per backtest,
apply a rate limit of 3 backtests per minute per user,
ask your agent to write a strategy and backtest it.
Troubleshooting
The backtest-engine server has been tested on 30 strategies and tuned to match TradingView backtests 1:1 as closely as possible. Some operators may still be unsupported.

If you hit this case, please create a minimal strategy that reproduces the issue and submit it in Issues. We will do our best to add support quickly.
https://backtest-engine-mcp.click/
https://github.com/vtlk/tv-pinescript-backtest-engine-mcp

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/TradingViewBacktestAssistant/AIAgentwithPineScript)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tradingviewbacktestassistant-aiagentwithpinescript"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tradingviewbacktestassistant-aiagentwithpinescript` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tradingviewbacktestassistant-aiagentwithpinescript/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
