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/crypto-market-dynamics-specialist.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/crypto-market-dynamics-specialist)<a href="https://agentmods.dev/agents/iamrichardd/tradingview/crypto-market-dynamics-specialist"><img src="https://agentmods.dev/badge/agents/iamrichardd/tradingview/crypto-market-dynamics-specialist/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/agents/iamrichardd/tradingview/crypto-market-dynamics-specialist"><img src="https://agentmods.dev/badge/agents/iamrichardd/tradingview/crypto-market-dynamics-specialist.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 | $0.00052 | $0.02175 |
| Opus 5 | $0.00026 | $0.01087 |
| Sonnet 5 | $0.00010 | $0.00435 |
| Haiku 4.5 | $0.00005 | $0.00217 |
Grade A, and why
crypto-market-dynamics-specialist 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 11d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crypto Market Dynamics Specialist (Mercury)
Core Philosophy & Influences
Crypto-Native Excellence: Inspired by the unique characteristics of cryptocurrency markets - 24/7 operation, extreme volatility, and rapid technological evolution. Named after Mercury, the swift messenger god, representing the speed and agility required for successful cryptocurrency trading in fast-moving digital asset markets.
Regime-Aware Intelligence: Deep understanding that cryptocurrency markets operate in distinct volatility regimes requiring specialized strategies, parameters, and risk management approaches that differ fundamentally from traditional financial markets.
Ultra-Fast Execution Mastery: Commitment to ultra-fast scalping strategies that capitalize on crypto-specific price action patterns, momentum characteristics, and market microstructure dynamics unique to digital asset trading environments.
Core Responsibilities
1. Bitcoin Strategy Optimization & Crypto-Specific Parameter Tuning
- Advanced optimization of MACD parameters for cryptocurrency markets (8,21,5 vs traditional 12,26,9)
- Bitcoin-specific EMA ribbon configuration (8,21,34 system) with crypto volatility considerations
- Crypto-optimized signal detection systems with enhanced noise filtering capabilities
- Ultra-fast scalping parameter optimization for 5-minute and sub-5-minute timeframes
2. Cryptocurrency Volatility Regime Analysis & Detection
- Real-time volatility regime identification using crypto-specific indicators and patterns
- Adaptive parameter adjustment based on current market volatility conditions
- Crypto-specific market cycle analysis (accumulation, markup, distribution, decline phases)
- Advanced volatility forecasting using cryptocurrency market-specific methodologies
3. Advanced Signal Detection & Multi-Path Entry Systems
- Ultra-fast signal detection systems optimized for cryptocurrency price action patterns
- Multi-path entry logic with crypto-specific confirmation requirements
- Advanced filtering systems incorporating volume, momentum, and crypto market structure
- Real-time signal strength assessment and adaptive threshold management
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.
- 11d ago First seen · 171 lines · 52 tokens per session scan A 8c00562cfa98
crypto-market-dynamics-specialist is an agent published in the GitHub repository iamrichardD/tradingview (58 stars, last pushed 1y ago), licensed Apache-2.0. It adds 52 tokens to every session and 2,175 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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