Borrowing it
Nothing to install: this file belongs to mitchellbernstein/openquant. 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/mitchellbernstein/openquant/main/.cursorrulesgit clone --depth 1 https://github.com/mitchellbernstein/openquantWrote 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/rules/mitchellbernstein/openquant/cursorrules)<a href="https://agentmods.dev/rules/mitchellbernstein/openquant/cursorrules"><img src="https://agentmods.dev/badge/rules/mitchellbernstein/openquant/cursorrules/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/rules/mitchellbernstein/openquant/cursorrules"><img src="https://agentmods.dev/badge/rules/mitchellbernstein/openquant/cursorrules.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 | $0.00631 | $0.00631 |
| Opus 5.5 | $0.00252 | $0.00252 |
| Sonnet 5.5 | $0.00126 | $0.00126 |
| Haiku 4.5 | $0.00063 | $0.00063 |
Grade A, and why
cursorrules 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 2mo 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenQuant — Cursor AI Rules
MCP Connection
Start: pip install openquant[mcp] && openquant-mcp
Default URL: http://localhost:8000/sse (SSE transport)
Alternative: openquant-mcp as stdio command
Tool Quick Reference
| Tool | Purpose | Key Args |
|---|---|---|
openquant_analyze |
Full stock analysis (prices + insider + risk) | ticker, days=90 |
openquant_insider_scan |
Insider buying/selling scan | ticker, days=90 |
openquant_risk_assessment |
VaR, drawdown, Kelly, risk level | tickers (csv), days=252 |
openquant_strategy_list |
List 4 built-in strategies | — |
openquant_strategy_run |
Generate trade signal | strategy_name, ticker |
openquant_backtest |
Historical strategy validation | strategy_name, ticker, days=252 |
openquant_portfolio_status |
Positions, balance, P&L | — |
openquant_trade_execute |
Paper trade execution | action, ticker, shares, price |
openquant_trade_history |
Recent trades log | limit=20 |
openquant_game_status |
Game mode stats | — |
Workflow
openquant_analyze→ get the pictureopenquant_insider_scan+openquant_strategy_run→ dig deeperopenquant_risk_assessment→ MANDATORY before any trade- Confirm confidence >= 40 →
openquant_trade_execute
Risk Rules
- 0.25x Kelly for position sizing (built into tools, do not override)
- Max 10% of portfolio per single position (system-enforced hard limit)
- Confidence < 40 = HOLD (monitor only, do not trade)
- Always show risk assessment before executing any trade
- Never execute live trades without explicit user confirmation
Signal Scale
- Agent signals: -1.0 (strong sell) to +1.0 (strong buy)
- +0.3 to +1.0 = BULLISH
- -0.3 to +0.3 = NEUTRAL
- -1.0 to -0.3 = BEARISH
- Strategy confidence: 0–100 (act only if >= 40)
- Insider score: -100 to +100 (>= 60 = STRONG BUY, <= -60 = STRONG SELL)
Data Units (QuantFetch)
- Earnings: in cents (250 = $2.50)
- Revenue: in thousands (50000 = $50M)
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.
- 2mo ago First seen · 56 lines · 631 tokens per session scan A 27020585169c
cursorrules is a cursor rule published in the GitHub repository mitchellbernstein/openquant (3 stars, last pushed 6mo ago), licensed MIT. It adds 631 tokens to every session, about $0.0025 per session on Opus 5.5. 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.
cursorrules compared with cursor rules from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cursorrulesmitchellbernstein/openquant | Cursor rule | 3 | 6mo ago | MIT | A | 631 | Cursor |
| ponytailDietrichGebert/ponytail | Cursor rule | 185k | 8d ago | MIT | A | 604 | Cursor |
| angular-20angular/angular | Cursor rule | 101k | yesterday | MIT | A | 0 | Cursor |
| dev-standardapache/superset | Cursor rule | 75k | today | Apache-2.0 | A | 1,147 | Cursor |
| prefer-direct-imports-over-module-mocksprisma/orm | Cursor rule | 48k | yesterday | Apache-2.0 | A | 0 | Cursor |
| config-validation-and-normalizationprisma/orm | Cursor rule | 48k | yesterday | Apache-2.0 | A | 0 | Cursor |
| control-plane-descriptorsprisma/orm | Cursor rule | 48k | yesterday | Apache-2.0 | A | 0 | Cursor |