Creating Financial Models
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1.
$ npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills us-market-bubble-detector --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/us-market-bubble-detector .claude/skills/us-market-bubble-detector && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "us-market-bubble-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/us-market-bubble-detector into .claude/skills/us-market-bubble-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "us-market-bubble-detector", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/us-market-bubble-detectorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills us-market-bubble-detector --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/us-market-bubble-detector .agents/skills/us-market-bubble-detector && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "us-market-bubble-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/us-market-bubble-detector into .agents/skills/us-market-bubble-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "us-market-bubble-detector", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills us-market-bubble-detector --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/us-market-bubble-detector .cursor/skills/us-market-bubble-detector && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "us-market-bubble-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/us-market-bubble-detector into .cursor/skills/us-market-bubble-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "us-market-bubble-detector", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tradermonty/claude-trading-skills.git --path skills/us-market-bubble-detector--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills us-market-bubble-detector --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/us-market-bubble-detector .gemini/skills/us-market-bubble-detector && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "us-market-bubble-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/us-market-bubble-detector into .gemini/skills/us-market-bubble-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "us-market-bubble-detector", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tradermonty/claude-trading-skills us-market-bubble-detectorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/us-market-bubble-detector .github/skills/us-market-bubble-detector && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "us-market-bubble-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/us-market-bubble-detector into .github/skills/us-market-bubble-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "us-market-bubble-detector", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tradermonty/claude-trading-skills us-market-bubble-detector --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/us-market-bubble-detector .opencode/skills/us-market-bubble-detector && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "us-market-bubble-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/us-market-bubble-detector into .opencode/skills/us-market-bubble-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "us-market-bubble-detector", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
us-market-bubble-detectorEvaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1.
Us Market Bubble Detector is an agent skill from tradermonty/claude-trading-skills. Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `CHANGELOG.md`, `references/bubble_framework.md` and `references/historical_cases.md`).
It sits in Business, Finance & HR. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
cboe.combarchart.comfinra.orgrenaissancecapital.cominvesting.comen.macromicro.mepwc.co.ukFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Us Market Bubble Detector loads about 4.6k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 1,152 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 1,152 words, ~4,621 tokens.
.claude/skills/us-market-bubble-detector/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.Critical Changes from v2.0:
Use this skill when:
English:
Japanese:
CRITICAL: Always collect the following data before starting evaluation
□ Put/Call Ratio (CBOE Equity P/C)
- Source: CBOE DataShop or web_search "CBOE put call ratio"
- Collect: 5-day moving average
□ VIX (Fear Index)
- Source: Yahoo Finance ^VIX or web_search "VIX current"
- Collect: Current value + percentile over past 3 months
□ Volatility Indicators
- 21-day realized volatility
- Historical position of VIX (determine if in bottom 10th percentile)□ FINRA Margin Debt Balance
- Source: web_search "FINRA margin debt latest"
- Collect: Latest month + Year-over-Year % change
□ Breadth (Market Participation)
- % of S&P 500 stocks above 50-day MA
- Source: web_search "S&P 500 breadth 50 day moving average"□ IPO Count & First-Day Performance
- Source: Renaissance Capital IPO or web_search "IPO market 2025"
- Collect: Quarterly count + median first-day return⚠️ CRITICAL: Do NOT proceed with evaluation without Phase 1 data collection
Score mechanically based on collected data using the following criteria:
Scoring Criteria:
- 2 points: P/C < 0.70 (excessive optimism, call-heavy)
- 1 point: P/C 0.70-0.85 (slightly optimistic)
- 0 points: P/C > 0.85 (healthy caution)
Rationale: P/C < 0.7 is historically characteristic of bubble periodsScoring Criteria:
- 2 points: VIX < 12 AND major index within 5% of 52-week high
- 1 point: VIX 12-15 AND near highs
- 0 points: VIX > 15 OR more than 10% from highs
Rationale: Extreme low volatility + highs indicates excessive complacencyScoring Criteria:
- 2 points: YoY +20% or more AND all-time high
- 1 point: YoY +10-20%
- 0 points: YoY +10% or less OR negative
Rationale: Rapid leverage increase is a bubble precursorScoring Criteria:
- 2 points: Quarterly IPO count > 2x 5-year average AND median first-day return +20%+
- 1 point: Quarterly IPO count > 1.5x 5-year average
- 0 points: Normal levels
Rationale: Poor-quality IPO flood is characteristic of late-stage bubblesScoring Criteria:
- 2 points: New high AND < 45% of stocks above 50DMA (narrow leadership)
- 1 point: 45-60% above 50DMA (somewhat narrow)
- 0 points: > 60% above 50DMA (healthy breadth)
Rationale: Rally driven by few stocks is fragileScoring Criteria:
- 2 points: Past 3-month return exceeds 95th percentile of past 10 years
- 1 point: Past 3-month return in 85-95th percentile of past 10 years
- 0 points: Below 85th percentile
Rationale: Rapid price acceleration is unsustainableLimit: +3 points maximum (REDUCED from +5 in v2.0)
⚠️ CONFIRMATION BIAS PREVENTION CHECKLIST:
Before adding ANY qualitative points:
□ Do I have concrete, measurable data? (not impressions)
□ Would an independent observer reach the same conclusion?
□ Am I avoiding double-counting with Phase 2 scores?
□ Have I documented specific evidence with sources?+1 point: ALL THREE criteria must be met:
✓ Direct user report of non-investor recommendations
✓ Specific examples with names/dates/conversations
✓ Multiple independent sources (minimum 3)
+0 points: Any criteria missing
⚠️ INVALID EXAMPLES:
- "AI narrative is prevalent" (unmeasurable)
- "I saw articles about retail investors" (not direct report)
- "Everyone is talking about stocks" (vague, unverified)
✅ VALID EXAMPLE:
"My barber asked about NVDA (Nov 1), dentist mentioned AI stocks (Nov 2),
Uber driver discussed crypto (Nov 3)"+1 point: BOTH criteria must be met:
✓ Google Trends showing 5x+ YoY increase (measured)
✓ Mainstream coverage confirmed (Time covers, TV specials with dates)
+0 points: Search trends <5x OR no mainstream coverage
⚠️ CRITICAL: "Elevated narrative" without data = +0 points
HOW TO VERIFY:
1. Search "[topic] Google Trends 2025" and document numbers
2. Search "[topic] Time magazine cover" for specific dates
3. Search "[topic] CNBC special" for episode confirmation
✅ VALID EXAMPLE:
"Google Trends: 'AI stocks' at 780 (baseline 150 = 5.2x).
Time cover 'AI Revolution' (Oct 15, 2025).
CNBC 'AI Investment Special' (3 episodes Oct 2025)."
⚠️ INVALID EXAMPLE:
"AI/technology narrative seems elevated" (unmeasurable)+1 point: ALL criteria must be met:
✓ P/E >25 (if NOT already counted in Phase 2 quantitative)
✓ Fundamentals explicitly ignored in mainstream discourse
✓ "This time is different" documented in major media
+0 points: P/E <25 OR fundamentals support valuations
⚠️ SELF-CHECK QUESTIONS (if ANY is YES, score = 0):
- Is P/E already in Phase 2 quantitative scoring?
- Do companies have real earnings supporting valuations?
- Is the narrative backed by fundamental improvements?
✅ VALID EXAMPLE for +1:
"S&P P/E = 35x (vs historical 18x).
CNBC article: 'Earnings don't matter in AI era' (Oct 2025).
Bloomberg: 'Traditional metrics obsolete' (Nov 2025)."
⚠️ INVALID EXAMPLE:
"P/E 30.8 but companies have real earnings and AI has fundamental backing"
(fundamentals support = +0 points)Phase 3 Total: Maximum +3 points
Final Score = Phase 2 Total (0-12 points) + Phase 3 Adjustment (0 to +3 points)
Range: 0 to 15 points
Judgment Criteria (with Risk Budget):
- 0-4 points: Normal (Risk Budget: 100%)
- 5-7 points: Caution (Risk Budget: 70-80%)
- 8-9 points: Elevated Risk (Risk Budget: 50-70%) ⚠️ NEW in v2.1
- 10-12 points: Euphoria (Risk Budget: 40-50%)
- 13-15 points: Critical (Risk Budget: 20-30%)Key Change in v2.1:
Verify the following when using:
□ Have you collected all Phase 1 data?
□ Did you apply each indicator's threshold mechanically?
□ Did you keep qualitative evaluation within +3 point limit?
□ Are you NOT assigning points based on news article impressions?
□ Does your final score align with other quantitative frameworks?Ignore "many news reports" or "experts are cautious" without quantitative data.
Always evaluate in this order: Phase 1 (Data Collection) → Phase 2 (Quantitative) → Phase 3 (Qualitative Adjustment).
Qualitative adjustment has a total limit of +3 points. It cannot override quantitative evaluation.
Do not readily acknowledge mass penetration without direct recommendations from non-investors.
❌ "Many reports on Takaichi Trade" → Media saturation 2 points ✅ Verify Google Trends numbers → Evaluate with measured values
❌ "Warning of overheating" → Euphoria zone ✅ Judge with measured values of Put/Call, VIX, margin debt
❌ 4.5% rise in 1 day → Price acceleration 2 points ✅ Verify position in 10-year distribution → Objective evaluation
❌ P/E 17 → Valuation disconnect 2 points ✅ P/E + narrative dependence + other quantitative indicators for comprehensive judgment
Risk Budget: 100%
Short-Selling: Not Allowed
Risk Budget: 70-80%
Short-Selling: Not Recommended
Risk Budget: 50-70%
Short-Selling: Consider Cautiously
Rationale for NEW phase: This zone represents heightened caution without extreme defensiveness. Market shows warning signs but not imminent collapse. Maintain exposure to quality positions while building flexibility.
Risk Budget: 40-50%
Short-Selling: Active Consideration
Risk Budget: 20-30%
Short-Selling: Recommended
Only consider shorts after confirming at least 3 of the following:
1. Weekly chart shows lower highs
2. Volume peaks out
3. Leverage indicators drop sharply (margin debt decline)
4. Media/search trends peak out
5. Weak stocks start to break down first
6. VIX surges (spike above 20)
7. Fed/policy shift signals# [Market Name] Bubble Evaluation Report (Revised v2.1)
## Overall Assessment
- Final Score: X/15 points (v2.1: max reduced from 16)
- Phase: [Normal/Caution/Elevated Risk/Euphoria/Critical]
- Risk Level: [Low/Medium/Medium-High/High/Extremely High]
- Evaluation Date: YYYY-MM-DD
## Quantitative Evaluation (Phase 2)
| Indicator | Measured Value | Score | Rationale |
|-----------|----------------|-------|-----------|
| Put/Call | [value] | [0-2] | [reason] |
| VIX + Highs | [value] | [0-2] | [reason] |
| Margin YoY | [value] | [0-2] | [reason] |
| IPO Heat | [value] | [0-2] | [reason] |
| Breadth | [value] | [0-2] | [reason] |
| Price Accel | [value] | [0-2] | [reason] |
**Phase 2 Total: X/12 points**
## Qualitative Adjustment (Phase 3) - STRICT CRITERIA
**⚠️ Confirmation Bias Check:**
- [ ] All qualitative points have measurable evidence
- [ ] No double-counting with Phase 2
- [ ] Independent observer would agree
### A. Social Penetration (0-1 points)
- Evidence: [REQUIRED: Direct user reports with dates/names]
- Score: [+0 or +1]
- Justification: [Must meet ALL three criteria]
### B. Media/Search Trends (0-1 points)
- Google Trends Data: [REQUIRED: Measured numbers, YoY multiplier]
- Mainstream Coverage: [REQUIRED: Specific Time covers, TV specials with dates]
- Score: [+0 or +1]
- Justification: [Must have 5x+ search AND mainstream confirmation]
### C. Valuation Disconnect (0-1 points)
- P/E Ratio: [Current value]
- Fundamental Backing: [Yes/No - if Yes, score = 0]
- Narrative Analysis: [REQUIRED: Specific media quotes ignoring fundamentals]
- Score: [+0 or +1]
- Justification: [Must show fundamentals actively ignored]
**Phase 3 Total: +X/3 points (max reduced from +5 in v2.0)**
## Recommended Actions
**Risk Budget: X%** (Phase: [Normal/Caution/Elevated Risk/Euphoria/Critical])
- [Specific action 1]
- [Specific action 2]
- [Specific action 3]
**Short-Selling: [Not Allowed/Consider Cautiously/Active/Recommended]**
- Composite conditions: X/7 met
- Minimum required: [0/2/3/5] for current phase
## Key Changes in v2.1
- Stricter qualitative criteria (max +3, down from +5)
- Added "Elevated Risk" phase for 8-9 points
- Confirmation bias prevention checklist
- All qualitative points require measurable evidencereferences/implementation_guide.md (English) - RECOMMENDED FOR FIRST USEreferences/bubble_framework.md (Japanese)references/historical_cases.md (Japanese)references/quick_reference.md (Japanese)references/quick_reference_en.md (English)implementation_guide.mdbubble_framework.mdhistorical_cases.mdquick_reference.md (Japanese) or quick_reference_en.md (English)v2.0 Problem (Identified Nov 2025):
v2.1 Solution:
Key Improvements:
Core Principle:
"In God we trust; all others must bring data." - W. Edwards Deming
2025 Lesson: Even data-driven frameworks can be undermined by subjective qualitative adjustments. v2.1 requires MEASURABLE evidence for ALL qualitative points. Independent observers must be able to verify each adjustment.
Version History:
Reason for v2.1 Revision: Prevent over-scoring through unmeasured "narrative" assessments and double-counting. Ensure all bubble risk evaluations are independently verifiable and free from confirmation bias.
© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 9 other files (scripts, references) in skills/us-market-bubble-detector of tradermonty/claude-trading-skills.
Open the folder on GitHubat commit c8d58f0
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.
Us Market Bubble Detector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Us Market Bubble Detector this skilltradermonty/claude-trading-skills | 3k | 3 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 322 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Cc Sdd New Agentgotalab/cc-sdd | 3.7k | — | ~1.1k | Automated safety check: Pass | MIT |
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
karanb192/itr-wala
File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
gotalab/cc-sdd
Add or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end.
dontbesilent2025/dbskill
Chinese-language entry skill for the dontbesilent business toolkit: onboards new users, orchestrates tasks across sub-skills, runs numbered prompts and lists hidden ones.
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
tradermonty/claude-trading-skills
Track investment theses across their lifecycle — from screening idea to closed position with postmortem.
tradermonty/claude-trading-skills
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
tradermonty/claude-trading-skills
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
Categories
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Us Market Bubble Detector is an agent skill from tradermonty/claude-trading-skills.1.
Us Market Bubble Detector fits situations like: user asks about bubble risk; valuation concerns; profit-taking timing.
Run `npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a claude-code`. Or copy the skill folder (skills/us-market-bubble-detector in tradermonty/claude-trading-skills) into .claude/skills/us-market-bubble-detector in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a codex`. Or copy the skill folder (skills/us-market-bubble-detector in tradermonty/claude-trading-skills) into .agents/skills/us-market-bubble-detector in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tradermonty/claude-trading-skills --skill us-market-bubble-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/us-market-bubble-detector, .gemini/skills/us-market-bubble-detector, .github/skills/us-market-bubble-detector and .opencode/skills/us-market-bubble-detector in your project.
Going by SKILL.md and its folder, Us Market Bubble Detector needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md names 7 domains. As links in the text: cboe.com, barchart.com, finra.org, renaissancecapital.com, investing.com, en.macromicro.me and pwc.co.uk. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Us Market Bubble Detector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Us Market Bubble Detector: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars), Itr Wala (karanb192/itr-wala, 871 stars) and Tushare Data (zillionare/zillionare, 322 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.
Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.