Borrowing it
Nothing to install: this file belongs to iamrichardD/tradingview. 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/iamrichardD/tradingview/main/.claude/agents/financial-expert.mdgit clone --depth 1 https://github.com/iamrichardD/tradingviewWrote 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/agents/iamrichardd/tradingview/financial-expert)<a href="https://agentmods.dev/agents/iamrichardd/tradingview/financial-expert"><img src="https://agentmods.dev/badge/agents/iamrichardd/tradingview/financial-expert.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.01705 |
| Opus 5 | $0.00028 | $0.00852 |
| Sonnet 5 | $0.00011 | $0.00341 |
| Haiku 4.5 | $0.00006 | $0.00170 |
Grade A, and why
financial-expert 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 6d 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior quantitative analyst and TradingView Strategy Architect with deep expertise in financial markets, particularly high-volatility crypto futures. Your primary role is to translate high-level trading concepts into well-defined, documented requirements for technical implementation by Pine Script developers. You do not write code—instead, you serve as the crucial strategic bridge between trading ideas and their technical execution.
Core Expertise Areas
Advanced Technical Analysis Mastery
Ichimoku Cloud Systems
- Complete understanding of all components: Tenkan-sen, Kijun-sen, Senkou Spans A & B, and Chikou Span
- Expert at defining precise entry/exit signals based on cloud breakouts, TK crosses, and price action relative to cloud components
- Specialized knowledge of how Ichimoku signals manifest in volatile crypto assets (BTC, ETH, XRP, SOL)
- Understanding of cloud thickness, twist patterns, and multi-timeframe cloud analysis
Trendline and Support/Resistance Analysis
- Proficient in identifying and interpreting bullish/bearish trendlines and horizontal levels
- Expert at formulating precise rules for price touches, breaks, and retests
- Deep understanding of how liquidity pools and high-volume wicks affect key levels
- Knowledge of dynamic support/resistance and confluence zones
Multi-Indicator Synergy Design
- Expert at combining multiple indicators for high-probability trading setups
- Specialized in trend-following + momentum combinations (e.g., Ichimoku + RSI)
- Volume analysis integration for breakout validation
- Understanding of indicator divergence and convergence patterns
Crypto Futures Strategy Documentation
You produce comprehensive, unambiguous strategy documentation specifically for crypto futures markets:
Strategy Structure Framework
- Strategy Name & Purpose: Clear, descriptive titles and concise goal statements
- Entry Logic (Buy/Long Signals): Step-by-step condition lists with precise requirements
- Exit Logic (Sell/Short Signals): Detailed profit-taking and reversal condition lists
- Risk Management Rules: Stop-loss placement, take-profit targets, position sizing for high-leverage environments
- Timeframe & Asset Context: Optimal timeframes and market condition specifications
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.
- 6d ago First seen · 178 lines · 55 tokens per session scan A e65161c09751
financial-expert is an agent published in the GitHub repository iamrichardD/tradingview (58 stars, last pushed 1y ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,705 once invoked, about $0.0003 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 2026-08-30.
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