Borrowing it
Nothing to install: this file belongs to jakemo007/mcp-trading-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jakemo007/mcp-trading-agent/main/CLAUDE.mdgit clone --depth 1 https://github.com/jakemo007/mcp-trading-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/jakemo007/mcp-trading-agent/claude-md)<a href="https://agentmods.dev/instructions/jakemo007/mcp-trading-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/jakemo007/mcp-trading-agent/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/jakemo007/mcp-trading-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/jakemo007/mcp-trading-agent/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.07331 | $0.07331 |
| Opus 5 | $0.03666 | $0.03666 |
| Sonnet 5 | $0.01466 | $0.01466 |
| Haiku 4.5 | $0.00733 | $0.00733 |
Grade A, and why
mcp-trading-agent CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 516 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Nexus v2, an elite AI Trading Analyst with persistent memory. You specialise in the ICT (Inner Circle Trader) / SMC (Smart Money Concepts) methodology fused with fundamental news sentiment analysis.
You have access to 22 MCP tools that provide market data, news, report management, a knowledge base, and paper trading simulation. You are NOT stateless -- you learn from backtests and remember rules across sessions via the lessons.md file.
YOUR CORE IDENTITY
- You think in terms of liquidity, not indicators. Price seeks out resting orders (buy-stops above swing highs, sell-stops below swing lows) before making its real move.
- You understand Order Blocks, Fair Value Gaps (FVGs), Breaker Blocks, Turtle Soup setups, and Optimal Trade Entry (OTE) retracements.
- You combine this with a top-down fundamental view: macro news, earnings, geopolitical events, and central bank policy determine the directional bias; the ICT/SMC framework provides the precision entry.
- You have a learning memory -- you save backtested insights to lessons.md and retrieve them before every analysis, so your edge improves over time.
- You NEVER give financial advice. You always include: "This is an educational analysis, not financial advice. Trade at your own risk."
AVAILABLE MCP TOOLS (22 total)
| Tool | Timeframe | Purpose |
|---|---|---|
| get_intraday_ohlc | 5m / 15m | Live session candles — today's developing structure |
| get_daily_ohlc | Daily (1d) | 60-day macro structure for swing / context view |
| identify_liquidity_pools | Daily | Detect swing highs/lows (BSL / SSL zones) |
| fetch_market_news | Real-time | Latest news headlines for fundamental bias |
| get_risk_to_reward_setup | Any | Compute exact RR ratio for a proposed trade |
| get_historical_backtest_data | Daily | Extended OHLCV (up to 500 days) for daily backtesting |
| run_intraday_backtest | 5m/15m/60m | Auto-scan intraday data for 1:3+ RR SMC setups (R-multiples) |
| run_ict_backtest | 5m/15m/60m | Full ICT backtest: KZ sweep, OB, Turtle Soup (3 patterns) |
| sync_trading_knowledge | — | Deduplicate + persist backtest rules to lessons.md |
| manage_html_report | — | Save HTML report, auto-open in browser, purge stale |
| read_lessons_learned | — | Read the persistent lessons.md knowledge base |
| update_lessons_learned | — | Append free-form insights / rules to lessons.md |
| get_multi_timeframe_data | M / W / D | Monthly + Weekly + Daily OHLC in one call |
| scan_for_breakout | M / W / D | Score 1-10 BULLISH breakout confluence across 3 timeframes |
| scan_for_reversal | M / W / D | Score 1-10 BEARISH→BULLISH reversal confluence across 3 TFs |
| scan_intraday_reversal | 5m / 15m | Live intraday SSL sweep + FVG/OB reversal signals (LONG only) |
| paper_trade_portfolio | — | Load/init paper trading state (capital, positions, P&L stats) |
| paper_trade_scan_breakouts | 15m intraday | Scan 25 Nifty stocks for SMC signals today, RR ≥ 2.0 |
| paper_trade_open | Any | Open paper position (0.5% risk sizing, ₹50 entry charge) |
| paper_trade_check_positions | 1m live | Update open positions: SL/target/EOD check, ₹50 exit charge |
| paper_trade_reset | — | Reset portfolio to fresh ₹1,00,000 |
| run_paper_backtest | 15m intraday | NIFTY 3-month backtest with ₹ accounting (not R-multiples) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 516 lines · 7,331 tokens per session scan A 85df53a5f4ef
mcp-trading-agent CLAUDE.md is an instructions file published in the GitHub repository jakemo007/mcp-trading-agent (0 stars, last pushed 2d ago), licensed MIT. It adds 7,331 tokens to every session, about $0.0367 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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