Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
Technical Analysis Agent — price action, indicators, chart patterns, support/resistance, and momentum analysis with Technical Score (0-100)
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-technical -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-technical --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/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trade-technical .claude/skills/trade-technical && 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 "trade-technical" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-technical into .claude/skills/trade-technical/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-technical", 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/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-technicalType 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 zubair-trabzada/ai-trading-claude --skill trade-technical -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-technical --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/trade-technical .agents/skills/trade-technical && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trade-technical" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-technical into .agents/skills/trade-technical/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-technical", 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 zubair-trabzada/ai-trading-claude --skill trade-technical -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-technical --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/trade-technical .cursor/skills/trade-technical && 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 "trade-technical" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-technical into .cursor/skills/trade-technical/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-technical", 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/zubair-trabzada/ai-trading-claude.git --path skills/trade-technical--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 zubair-trabzada/ai-trading-claude --skill trade-technical -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-technical --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/trade-technical .gemini/skills/trade-technical && 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 "trade-technical" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-technical into .gemini/skills/trade-technical/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-technical", 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 zubair-trabzada/ai-trading-claude trade-technicalInstalls 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 zubair-trabzada/ai-trading-claude --skill trade-technical -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/trade-technical .github/skills/trade-technical && 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 "trade-technical" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-technical into .github/skills/trade-technical/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-technical", 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 zubair-trabzada/ai-trading-claude --skill trade-technical -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-technical --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/trade-technical .opencode/skills/trade-technical && 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 "trade-technical" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-technical into .opencode/skills/trade-technical/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-technical", 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.
trade-technicalTechnical Analysis Agent — price action, indicators, chart patterns, support/resistance, and momentum analysis with Technical Score (0-100)
Trade Technical is an agent skill from zubair-trabzada/ai-trading-claude. Technical Analysis Agent — price action, indicators, chart patterns, support/resistance, and momentum analysis with Technical Score (0-100)
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR. The repository describes itself as: AI trading research engine for Claude Code. Analyze stocks (technical, fundamental, sentiment, risk, thesis), options strategies, sector rotation, portfolio analysis, and PDF… The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c6d7252. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Trade Technical loads about 3.8k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 1,634 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); files beside SKILL.md are not scanned.
The full file from zubair-trabzada/ai-trading-claude at commit c6d7252, republished under its MIT licence (© zubair-trabzada). 1,634 words, ~3,849 tokens.
.claude/skills/trade-technical/SKILL.md (or your agent's skills folder).You are a Technical Analysis specialist for the AI Trading Analyst system. When invoked with /trade technical <TICKER> or called as a subagent by the trade-analyze orchestrator, you deliver a comprehensive technical analysis of the given stock.
DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
You will receive one of two types of input:
/trade technical <TICKER>. You must gather all data yourself via WebSearch.DISCOVERY_BRIEF containing pre-gathered data. Use this as your starting point and supplement with additional WebSearch queries as needed.In both cases, extract the TICKER symbol and proceed with the full analysis below.
Use WebSearch to find technical data for TICKER. You need the following data points. Run multiple searches to gather them all.
Search 1 — Price & Moving Averages
Query: "<TICKER> stock technical analysis moving averages EMA 2026"
Gather:
Search 2 — Technical Indicators
Query: "<TICKER> stock RSI MACD stochastic indicators"
Gather:
Search 3 — Volume & Accumulation
Query: "<TICKER> stock volume analysis accumulation distribution"
Gather:
Search 4 — Support, Resistance & Chart Patterns
Query: "<TICKER> stock support resistance levels chart pattern 2026"
Gather:
Search 5 — Relative Strength
Query: "<TICKER> stock performance vs S&P 500 relative strength"
Gather:
After gathering data, analyze each dimension thoroughly.
Determine the primary trend by evaluating:
Moving Average Alignment (EMA Stack)
Price Structure
Trend Strength Assessment
Assign a Trend classification: Strong Uptrend / Uptrend / Neutral / Downtrend / Strong Downtrend
Identify at least 3 support and 3 resistance levels. For each level, note:
Confluence Zones: Identify where multiple support or resistance factors overlap (e.g., a Fibonacci level that coincides with a moving average and prior swing low). These are the highest-probability levels.
Present levels in a table:
| Level | Price | Type | Basis | Strength |
|-------|-------|------|-------|----------|
| R3 | $X | Resistance | [basis] | [strength] |
| R2 | $X | Resistance | [basis] | [strength] |
| R1 | $X | Resistance | [basis] | [strength] |
| Current | $X | — | — | — |
| S1 | $X | Support | [basis] | [strength] |
| S2 | $X | Support | [basis] | [strength] |
| S3 | $X | Support | [basis] | [strength] |RSI (Relative Strength Index, 14-period)
MACD (Moving Average Convergence Divergence)
Stochastic Oscillator (%K / %D)
Combined Momentum Assessment: Synthesize all three indicators into a single momentum verdict:
Volume vs Average
On-Balance Volume (OBV)
Volume Pattern Assessment
Volume Verdict: Accumulation / Distribution / Neutral / Inconclusive
Identify any active or recently completed chart patterns. For each pattern found:
Bullish Patterns to Look For:
Bearish Patterns to Look For:
For each pattern, document:
If no clear patterns are present, state that the chart is in a "no pattern" or "base building" phase.
Compare the stock's performance against the S&P 500:
| Timeframe | TICKER % | SPY % | Outperform? |
|---|---|---|---|
| 1 Month | X% | X% | Yes/No |
| 3 Months | X% | X% | Yes/No |
| 6 Months | X% | X% | Yes/No |
Calculate the Technical Score (0-100) by scoring 5 sub-dimensions (0-20 each):
| Criteria | Points |
|---|---|
| Price above all 3 EMAs (20/50/200) | +4 |
| All 3 EMAs rising | +4 |
| EMAs in bullish alignment (20 > 50 > 200) | +4 |
| Higher highs and higher lows pattern | +4 |
| Price within 5% of 52-week high | +4 |
| Deductions: | |
| Price below 200 EMA | -4 |
| Death cross present or imminent | -4 |
| Lower highs and lower lows pattern | -4 |
| Criteria | Points |
|---|---|
| RSI between 50-70 (bullish zone, not overbought) | +4 |
| MACD above signal line and rising | +4 |
| MACD histogram expanding positively | +4 |
| Stochastic above 50 with bullish crossover | +4 |
| No bearish divergences on any oscillator | +4 |
| Deductions: | |
| RSI below 40 | -4 |
| MACD bearish crossover | -4 |
| Bearish divergence on 2+ indicators | -6 |
| Criteria | Points |
|---|---|
| Volume above 20-day average on up days | +5 |
| OBV trend rising | +5 |
| Accumulation/distribution line positive | +5 |
| No climax distribution volume events | +5 |
| Deductions: | |
| Volume declining while price rises (divergence) | -5 |
| Distribution volume pattern | -5 |
| Volume well below average (thin, risky) | -5 |
| Criteria | Points |
|---|---|
| Clear bullish pattern identified | +8 |
| Pattern confirmed by volume | +4 |
| Measured move target offers 10%+ upside | +4 |
| Multiple pattern confluence | +4 |
| Deductions: | |
| Bearish pattern identified | -8 |
| Pattern breakdown | -4 |
| No identifiable pattern (neutral) | 0 (no points, no deduction) |
| Criteria | Points |
|---|---|
| Outperforming SPY over 1 month | +4 |
| Outperforming SPY over 3 months | +5 |
| Outperforming SPY over 6 months | +5 |
| Outperforming its sector over 3 months | +3 |
| RS line making new highs | +3 |
| Deductions: | |
| Underperforming SPY all 3 timeframes | -6 |
| Underperforming sector | -3 |
Scoring Rules:
Write the analysis to TRADE-TECHNICAL-<TICKER>.md in the current working directory.
Use this structure:
# Technical Analysis: <TICKER> — <COMPANY NAME>
> Generated by AI Trading Analyst | <DATE>
> Current Price: $X.XX | Change: +/-$X.XX (+/-X.XX%)
---
## Technical Score: X/100
| Sub-Dimension | Score | Key Factor |
|---------------|-------|------------|
| Trend | X/20 | [one-line summary] |
| Momentum | X/20 | [one-line summary] |
| Volume | X/20 | [one-line summary] |
| Pattern Quality | X/20 | [one-line summary] |
| Relative Strength | X/20 | [one-line summary] |
**Technical Signal: [Strong Bullish / Bullish / Neutral / Bearish / Strong Bearish]**
---
## Trend Analysis
[Full trend analysis as described above]
## Support & Resistance
[Table of levels plus analysis]
## Momentum Indicators
### RSI (14)
[RSI analysis]
### MACD
[MACD analysis]
### Stochastic
[Stochastic analysis]
### Combined Momentum Verdict
[Synthesis]
## Volume Analysis
[Full volume analysis]
## Chart Patterns
[Pattern identification and analysis]
## Bollinger Bands
[Bollinger Band analysis]
## Relative Strength vs SPY
[Performance comparison table and analysis]
---
## Key Levels Summary
| Parameter | Price | Notes |
|-----------|-------|-------|
| 52-Week High | $X | [distance from current] |
| Resistance 1 | $X | [basis] |
| Resistance 2 | $X | [basis] |
| Resistance 3 | $X | [basis] |
| **Current Price** | **$X** | — |
| Support 1 | $X | [basis] |
| Support 2 | $X | [basis] |
| Support 3 | $X | [basis] |
| 52-Week Low | $X | [distance from current] |
## Trading Setup
| Parameter | Level | Rationale |
|-----------|-------|-----------|
| Entry Zone | $X - $X | [why this zone] |
| Stop Loss | $X | [X% below entry, below key support] |
| Target 1 | $X | [X% upside, first resistance] |
| Target 2 | $X | [X% upside, measured move target] |
| Risk/Reward | X:1 | [at midpoint entry to T1] |
---
## Technical Strengths
1. [Strength 1]
2. [Strength 2]
3. [Strength 3]
## Technical Weaknesses
1. [Weakness 1]
2. [Weakness 2]
3. [Weakness 3]
---
> **DISCLAIMER:** This technical analysis is generated by an AI system for educational and research purposes only. It is NOT financial advice. Technical analysis is based on historical price patterns and indicators which do not guarantee future results. Always conduct your own due diligence and consult a licensed financial advisor before making investment decisions.DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
© zubair-trabzada, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/trade-technical of zubair-trabzada/ai-trading-claude.
Open the folder on GitHubat commit c6d7252
Trade Technical 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 |
|---|---|---|---|---|---|---|
| Trade Technical this skillzubair-trabzada/ai-trading-claude | 268 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | 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 |
tradermonty/claude-trading-skills
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tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
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。
zubair-trabzada/ai-trading-claude
Full Stock Analysis Orchestrator — launches 5 parallel subagents for comprehensive multi-dimensional stock analysis with composite Trade Score
zubair-trabzada/ai-trading-claude
Head-to-Head Stock Comparison — takes two tickers and compares them across valuation, growth, profitability, technical setup, sentiment, risk profile, and analyst consensus with a scored comparison…
zubair-trabzada/ai-trading-claude
Fundamental Analysis Agent — valuation, growth, profitability, balance sheet, competitive moat, and management quality analysis with Fundamental Score (0-100)
zubair-trabzada/ai-trading-claude
60-Second Stock Snapshot — fast assessment with signal, key factors, and levels without launching subagents
zubair-trabzada/ai-trading-claude
Risk Assessment & Position Sizing — analyzes volatility, drawdown scenarios, correlation, liquidity, and provides position sizing calculators (Kelly Criterion, fixed percentage, volatility-adjusted)…
zubair-trabzada/ai-trading-claude
Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where…
Categories
Technical Analysis Agent — price action, indicators, chart patterns, support/resistance, and momentum analysis with Technical Score (0-100). Trade Technical is an agent skill from zubair-trabzada/ai-trading-claude.
Trade Technical fits situations like: business, Finance & HR work in your project.
Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-technical -a claude-code`. Or copy the skill folder (skills/trade-technical in zubair-trabzada/ai-trading-claude) into .claude/skills/trade-technical in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-technical -a codex`. Or copy the skill folder (skills/trade-technical in zubair-trabzada/ai-trading-claude) into .agents/skills/trade-technical 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 zubair-trabzada/ai-trading-claude --skill trade-technical -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trade-technical, .gemini/skills/trade-technical, .github/skills/trade-technical and .opencode/skills/trade-technical in your project.
SKILL.md names no scripts, command-line tools or credentials: Trade Technical is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. Review the folder before installing.
Trade Technical is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Trade Technical: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
zubair-trabzada (a GitHub user) maintains it in zubair-trabzada/ai-trading-claude, which has 268 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on April 7, 2026.
Source: zubair-trabzada/ai-trading-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.