crypto-market-analysis

crypto-market-analysis is a skill for Claude Code, Codex from Lzh-xbccz/hermes-finance. It costs 49 tokens per session (3,845 once invoked), scanned A, original, MIT.

A cryptocurrency analysis guide for investigating why digital-asset prices move. It examines market, funding, macroeconomic, and technical evidence, including a method called CZSC for identifying chart structures, divergences, and possible entry patterns.

In plain words
What is it for?
Use it to analyse cryptocurrencies across four-hour and fifteen-minute charts. It helps trace price moves to underlying events and fund flows, assess technical structures and possible buy or sell patterns, and define conditions that confirm or invalidate a trade.
Why use it?
It pushes the analysis beyond simply saying that buying or selling increased. It requires several layers of cause, checks for conflicting evidence, and allows waiting when the direction is not confirmed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to analyse cryptocurrencies across four-hour and fifteen-minute charts. It helps trace price moves to underlying events and fund flows, assess technical structures and possible buy or sell patterns, and define conditions that confirm or invalidate a trade.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lzh-xbccz/hermes-finance/crypto-market-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Lzh-xbccz/hermes-finance --skill crypto-market-analysis
Clone the repo
git clone --depth 1 https://github.com/Lzh-xbccz/hermes-finance

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for crypto-market-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/lzh-xbccz/hermes-finance/crypto-market-analysis/github.svg)](https://agentmods.dev/skills/lzh-xbccz/hermes-finance/crypto-market-analysis)
Your own site
<a href="https://agentmods.dev/skills/lzh-xbccz/hermes-finance/crypto-market-analysis"><img src="https://agentmods.dev/badge/skills/lzh-xbccz/hermes-finance/crypto-market-analysis/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.

agentmods 80×15 button for crypto-market-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/lzh-xbccz/hermes-finance/crypto-market-analysis"><img src="https://agentmods.dev/badge/skills/lzh-xbccz/hermes-finance/crypto-market-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,845 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.03845
Opus 5 $0.00024 $0.01922
Sonnet 5 $0.00010 $0.00769
Haiku 4.5 $0.00005 $0.00384

Measured 12d ago against content hash e1916cdb2a11, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

crypto-market-analysis 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 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/czsc_analyze.py, scripts/fetch_data.py, scripts/market_structure_chart.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/crypto-market-analysis/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

加密货币深度因果分析 v9.0

铁律零:你不是在写行情播报,你是在做证据审计。 每一个方向判断必须回答"为什么",并先通过反向审计。证据分裂、数据缺口、宏观/合约/资金互相冲突时,必须写观望或方向未确认。方向由你基于各维度证据综合判断得出,不要用投票计数或权重打分决定方向。

🆕 v9.0 新增:背驰分析 + 买卖点模式识别(源自 czsc_skills by zengbin93)


⛔ 反偷懒强制规则(违反任一条=分析作废)

规则1:因果链强制

  • 每一个价格变动必须追溯至少二层原因。不允许写"价格上涨因为买盘强"——这是同义反复。
  • 正确格式:事件A → 引发资金行为B → 导致价格变动C → 触发连锁反应D

规则2:每一维必须有"所以呢?"

规则3:禁止模糊词汇

规则4:对比锚定强制

规则5:历史回测强制

🆕 规则6:缠论必须跑(v4.0 升级)

  • 每个币种必须跑 czsc 4H+15min 缠论分析,不可跳过
  • czsc v1.0.0rc8(Rust 核心,256 信号,lightweight-charts dark theme)
  • 信号调用:SIGNAL_FUNCS = {'一买': cxt_first_buy_V221126, '二买': cxt_second_bs_V230320, ...}
  • 图表自动中文化(_cn.html:Open→开/High→高/Low→低/Close→收/Vol→量)

🆕🆕 规则7:背驰分析 + 模式识别必须执行(v9.0)

  • 每个级别必须输出背驰判断:同方向相邻笔 → 比较振幅 → 判断上涨/下跌背驰
  • 每个级别必须输出模式识别:基于分型回调 → 判断一买/二买/一卖/二卖候补
  • 背驰+模式识别自动随 czsc_analyze.py 输出,无需手动计算
  • 分析报告中必须引用背驰和模式识别的具体结果(含价位和振幅比)

规则8:方向过滤(修复错误导向)

  • Signal(..._其他_任意_任意_0) = 未触发,不是 ✅ 买入/卖出信号;严禁把函数返回值存在等同于信号成立。
  • 二买候补 / 一买候补 / 下跌背驰 只代表“潜在反弹条件”,不能直接升级成做多;必须同时满足 4H 不空头压制、15m 转强、价格站回关键中枢/结构位。
  • 一卖候补 / 二卖候补 / 上涨背驰 只代表“潜在回落条件”,不能直接升级成做空;必须同时满足 4H 或 15m 跌破关键结构位。
  • 如果 4H 与 15m 方向冲突,或有效买卖信号同时存在,默认输出 ⚪ 观望,只给触发条件,不给立即开仓方向。
  • 缠论只负责 技术结构确认与入场执行,不能单独决定最终方向。最终方向必须先由 1-7 维形成主判断,再用缠论确认/否决/降级。

规则9:多维主导,不准只看缠论

  • 最终方向优先级:资金与合约结构 > 量价/交易所交叉验证 > 宏观风险偏好 > 情绪反指 > 链上/基本面 > 缠论结构
  • 方向由你基于各维度证据的逻辑强度和可靠性综合判断得出,不要用投票计数或权重打分决定方向;不能把同类代理拆成多票。
  • 七维证据分裂、关键数据缺失、合约/宏观/资金任一核心维度反向时,最终方向必须降级为 ⚪ 观望 / 方向未确认
  • 缠论与 1-7 维一致:可以提高执行置信度,细化入场、止损、止盈。
  • 缠论与 1-7 维冲突:必须降级为 ⚪ 观望 或写成"方向未确认",不能用缠论覆盖资金/宏观/合约结论。
  • 任何最终结论必须给出"各维度证据""反向审计""缠论确认结果""最终方向"四行;缺任一行,分析作废。

一、分析流程(必须完整执行,不可跳过)

阶段1:数据采集(并行拉取)

# 并行执行:
python3 skills/crypto-market-analysis/scripts/fetch_data.py <SYMBOL> all &

# 缠论多级别联立(4H+15min,dark图表,中文标签,含背驰+模式识别)
python3 scripts/czsc_analyze.py <SYMBOL>USDT --chart --report &
wait

⚠️ czsc_analyze.py 自动输出:信号函数 + 背驰分析 + 买卖点模式识别 + 共振评分。它只是第 8 维技术确认,不是最终交易结论。

阶段2:因果叙事构建

阶段3:八维深挖(1-7 维先给主判断,第 8 维只做确认)

Read the full file on GitHub · 229 lines

Changes

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.

  1. 12d ago First seen · 229 lines · 49 tokens per session scan A e1916cdb2a11

Subscribe to this mod's changes

crypto-market-analysis is a skill published in the GitHub repository Lzh-xbccz/hermes-finance (24 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 3,845 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

tickdb-market-data

A real-time market-data API for foreign exchange, metals, indexes, stocks, and cryptocurrencies. An API is a service that software can call to request data.

TickDB/tickdb-unified-realtime-marketdata-api · 100 tokens

ask-a-legend

Get one legendary trader's read on a symbol — Wyckoff, Gann, Elliott Wave, Dow Theory, Livermore, DeMark, Wilder (RSI/ADX), Ichimoku (Hosoda), Weinstein stage analysis, or O'Neil CAN SLIM. Pass the legend and symbol, e.g. "gann on eurusd" or "what would Wyckoff say about AAPL?". Analysis and a second opinion, not a…

FXDavid-OffbeatForex/tlc-hermes-skills · 99 tokens

convene

Convene the Trading Legends Council — ten legendary traders (Dow, Wyckoff, Livermore, Elliott, Gann, DeMark, Wilder, Ichimoku, Weinstein, O'Neil) each vote blind on a symbol, then a deterministic Chairman aggregates their ballots into one verdict (LONG/SHORT/NOTRADE). Analysis and a second opinion, not signals.

FXDavid-OffbeatForex/tlc-hermes-skills · 79 tokens

forge-legend

Author a new trading legend/persona from a famous trader's name or a plain-English strategy description, then lint and live-audition it before it joins your roster. E.g. "make a trader who buys liquidity sweeps" or "add an ICT legend".

FXDavid-OffbeatForex/tlc-hermes-skills · 58 tokens

trade-memory

Compliance-grade decision audit trail for AI trading agents. Records every trading decision with full context (conditions, filters, indicators, risk state), SHA-256 tamper detection, and structured export for MiFID II / EU AI Act readiness. Works alongside Binance Spot, Futures, and Web3 skills — they execute trades…

mnemox-ai/tradememory-protocol · 68 tokens

risk-management

Risk management domain knowledge for trading agents — affective state monitoring, position sizing, drawdown management, tilt detection, and behavioral guardrails. Use when checking risk before trades, managing drawdowns, detecting behavioral drift, or enforcing discipline. Triggers on "risk", "drawdown", "tilt"…

mnemox-ai/tradememory-protocol · 89 tokens