# Ai Trading Agent

> Build your own AI hedge fund with Claude, Codex, Cursor & OpenClaw. The agent-native skills directory for Trader Dev MCP — write Pine Script, backtest crypto strategies, optimize parameters.

- **Type:** MCP server
- **Install:** `agentstack add mcp-daviddtech-ai-trading-agent`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [DaviddTech](https://agentstack.voostack.com/s/daviddtech)
- **Installs:** 0
- **Category:** [Finance & Payments](https://agentstack.voostack.com/c/finance-and-payments)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [DaviddTech](https://github.com/DaviddTech)
- **Source:** https://github.com/DaviddTech/ai-trading-agent
- **Website:** https://trader.dev/

## Install

```sh
agentstack add mcp-daviddtech-ai-trading-agent
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# AI Trader MCP

### Build your own AI hedge fund with Claude, Codex, Cursor, and OpenClaw.

The agent-native skills directory for **Trader Dev MCP** — write Pine Script, backtest crypto strategies, optimize parameters, and run a full quant research desk from one conversation.

[](https://github.com/DaviddTech/ai-trading-agent/stargazers)
[](https://github.com/DaviddTech/ai-trading-agent/network/members)
[](LICENSE)
[](https://github.com/DaviddTech/ai-trading-agent/commits/main)
[](https://trader.dev/)
[](#-30-second-quickstart)
[](#-30-second-quickstart)
[](#-30-second-quickstart)
[](#-what-you-can-build)

**[Quickstart](#-30-second-quickstart)** · **[Skills](#-the-skills-directory)** · **[Examples](#-example-session)** · **[Roadmap](#-roadmap)** · **[Discord](#-community)** · **[YouTube](#-community)**

---

> ⚠️ **Research and education only.** AI Trader MCP does not place real trades, send real orders, or guarantee profits. Backtests are not future performance. Crypto trading is risky and leverage can cause catastrophic losses. Read [docs/DISCLAIMER.md](docs/DISCLAIMER.md) before doing anything.

---

https://github.com/user-attachments/assets/fabc1c81-dab0-4ce5-863d-2d5fa633a579

*▶ Watch the AI hedge fund desk in action — 60 seconds.*

> *"Just like human traders have TradingView, AI agents need their own quant research desk."*

Most AI tools help traders write code. **AI Trader MCP helps AI agents run the entire research workflow** — generate hypotheses, write Pine Script, backtest, optimize, compare, and report. Built by [DaviddTech](https://davidd.tech), backtesting live on YouTube for 5+ years.

## ⚡ 30-second quickstart

https://github.com/user-attachments/assets/95757099-9a4c-4fea-a618-9b015eec942e

*▶ Full install walkthrough — under a minute.*

**1. Install Trader Dev MCP in your agent (pick one):**

```bash
# Claude Code
claude mcp add --transport sse --scope user trader-dev https://mcp.trader.dev/sse
```

```bash
# Codex
codex mcp add trader-dev -- npx -y mcp-remote https://mcp.trader.dev/sse
```

```text
# Cursor / OpenClaw / Cline / Continue / Windsurf / Gemini CLI
Register https://mcp.trader.dev/sse as a remote SSE MCP server.
```

**2. Paste this one-liner to your agent:**

```text
Read https://raw.githubusercontent.com/DaviddTech/ai-trading-agent/main/SKILL.md
and help me build an AI hedge fund research desk using Trader Dev MCP.
```

**3. Ship your first backtest:**

```text
Backtest a Bollinger Band squeeze breakout on the top 10 Bybit pairs at 1h.
Report profit factor, max drawdown, and stability across symbols.
Reject overfit results.
```

That's it. Your agent is now a quant.

## 🔥 Why AI Trader MCP

| Without AI Trader MCP | With AI Trader MCP |
|---|---|
| Open TradingView, hand-code Pine Script, click backtest, copy results into a spreadsheet. | "Backtest this strategy on the top 10 Bybit pairs at 1h." Done in one message. |
| Click-optimize parameters one input at a time. | Parameter sweeps across stop loss, take profit, ATR multiples, regime filters — natural language. |
| Forget which version of a strategy worked last week. | Strategies live in Trader Dev. Fork, version, compare, promote, demote — all from chat. |
| Pay for a quant team. | Spin up a Mathematician, Mean-Reversion Engineer, Strategy Optimizer, and Position Optimizer — for free. |
| Wonder if your backtest is curve-fit. | Built-in robustness discipline: multi-pair, multi-timeframe, drawdown control, honest verdict labels. |
| Use AI to *write* code. | Use AI to *run the whole research desk.* |

## 🏭 Don't want to build your own strategies?

Not every trader wants to be a quant researcher. If you'd rather skip the research and run trading bots that already work, **[StrategyFactory.ai](https://strategyfactory.ai)** is where they live.

- **400+ trading bots** — every one **backtested *and* forward-tested with real-money live results**
- **No Pine Script knowledge required** — pick a bot, plug in, go
- **Real performance data** — not curve-fit screenshots, not "based on backtest" — actual live results
- **Plays nicely with this repo** — the AI Trader MCP skills can analyze, fork, and improve any Strategy Factory bot

| Path | What you do | Where to start |
|---|---|---|
| 🛠 **Build it yourself** | Use the skills, prompts, and loop roles in this repo. Pine Script + backtests + optimization, all from chat. | Stay here |
| 🚀 **Use what already works** | Browse the marketplace, pick a bot, plug into your trading stack. | [strategyfactory.ai](https://strategyfactory.ai) |

> **[→ Browse 400+ live-tested trading bots at StrategyFactory.ai →](https://strategyfactory.ai)**

## 🧠 The skills directory

Each skill is a focused, agent-readable `SKILL.md` that turns your AI client into a specialist on the desk.

| Skill | What it does |
|---|---|
| **[Main SKILL.md](SKILL.md)** | The entrypoint. Routes your agent into the right workflow. Start here. |
| **[AI Hedge Fund Manager](skills/ai-hedge-fund/SKILL.md)** | Coordinates the research desk. Picks specialists. Enforces discipline. |
| **[Quant Mathematician](skills/quant-mathematician/SKILL.md)** | Renaissance-style first-principles strategy creation. No retail indicator soup. |
| **[Mean Reversion Engineer](skills/mean-reversion-engineer/SKILL.md)** | Engineered mean-reversion systems for crypto. Volatility-aware, regime-filtered. |
| **[Strategy Optimizer](skills/strategy-optimizer/SKILL.md)** | Searches Trader Dev for existing strategies. Forks. Improves. Compares against baseline. |
| **[Position Optimizer](skills/position-optimizer/SKILL.md)** | Tests leverage, fractional Kelly, vol-targeting, drawdown throttling, bounded recovery. Keeps entries frozen. |

Plus copy-paste workflow prompts in [`prompts/`](prompts/) and [`examples/`](examples/).

## 🔁 The 24/7 desk — loop roles

One conversation. Fifteen specialists. Forever. **Every role is TradingView-native** — pure Pine Script and OHLCV, no off-chain data feeds.

Drop any of these into your AI client's `/loop` command and walk away. Each role fires every 15 minutes, runs one focused research cycle through Trader Dev MCP, and writes a structured report.

```bash
# Greenfield strategy creation, every 15 minutes
/loop 15m read loop/01-quant-mathematician.md and execute it

# Risk audits the existing book, every 15 minutes
/loop 15m read loop/08-risk-manager.md and execute it
```

| Category | Roles |
|---|---|
| 🎯 Coordination | [Hedge Fund Manager](loop/00-ai-hedge-fund-manager.md) |
| 🧮 Strategy creation | [Quant Mathematician](loop/01-quant-mathematician.md) · [Mean Reversion Engineer](loop/02-mean-reversion-engineer.md) · [Trend Following Engineer](loop/03-trend-following-engineer.md) · [Volatility Strategist](loop/04-volatility-strategist.md) · [Breakout Engineer](loop/05-breakout-engineer.md) |
| 🔧 Optimization | [Strategy Optimizer](loop/06-strategy-optimizer.md) · [Position Optimizer](loop/07-position-optimizer.md) |
| 🛡 Risk & robustness | [Risk Manager](loop/08-risk-manager.md) · [Drawdown Auditor](loop/09-drawdown-auditor.md) · [Overfitting Detector](loop/10-overfitting-detector.md) |
| 📐 Structural & pattern | [Multi-Timeframe Strategist](loop/11-multi-timeframe-strategist.md) · [Liquidity Sweep Hunter](loop/12-liquidity-sweep-hunter.md) · [Pattern Recognition Strategist](loop/14-pattern-recognition-strategist.md) |
| 🧪 Experimental | [Calendar & Lunar Cycle Strategist](loop/13-moon-phase-strategist.md) |

Full guide: [loop/README.md](loop/README.md).

## 📈 What you can build

- **An AI hedge fund research desk** — generate hypotheses → Pine Script → backtest → compare → report.
- **A Pine Script generator** — paste a strategy idea, get clean, no-repaint, no-lookahead Pine.
- **A TradingView backtest worker** — paste any Pine script, get a multi-pair, multi-timeframe robustness report.
- **A parameter optimizer** — sweep stops, TPs, ATR multiples, filters; reject overfits.
- **A position-sizing lab** — improve P&L by tuning leverage/Kelly/vol-targeting *without* changing entries.
- **A live signal monitor** — pipe Trader Dev signals to Telegram alerts.
- **A strategy fork-and-improve loop** — search the strategy library, fork winners, iterate one variable at a time.

## 🤖 Works with

|  |  |  |  |  |  |  |  |
|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|

If your agent speaks MCP, AI Trader MCP works.

## 💬 Example session

```text
You:      I want to test a volatility breakout idea on crypto.
          Use the Quant Mathematician skill.

Agent:    Hypothesis: when realized volatility compresses below the
          20-period historical median for 8+ bars, a breakout in
          either direction has positive expectancy on 1h crypto.

          [writes Pine Script — no repaint, no lookahead]
          [calls mcp__trader-dev__run_backtest across 10 pairs × 4 timeframes]

          Results:
          Net profit:     +38.4%
          Profit factor:  1.62
          Max drawdown:   -14.1%
          Trades:         412
          Stable on 7/10 pairs across 1h, 2h, 4h.
          Fails on BTC and ETH — needs trend filter.

          Verdict: Incubate.
          Next iteration: add ADX 

**Built by [DaviddTech](https://davidd.tech) · Powered by [Trader Dev](https://trader.dev/)**

If AI agents should become real trading research assistants, **[star the repo ⭐](https://github.com/DaviddTech/ai-trading-agent)**.

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [DaviddTech](https://github.com/DaviddTech)
- **Source:** [DaviddTech/ai-trading-agent](https://github.com/DaviddTech/ai-trading-agent)
- **License:** MIT
- **Homepage:** https://trader.dev/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-daviddtech-ai-trading-agent
- Seller: https://agentstack.voostack.com/s/daviddtech
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.