Agent skill

Trade Technical

by zubair-trabzada in zubair-trabzada/ai-trading-claude

Technical Analysis Agent — price action, indicators, chart patterns, support/resistance, and momentum analysis with Technical Score (0-100)

MITAuto-check passedBusiness, Finance & HR

Install Trade Technical

skills CLI
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-technical -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zubair-trabzada/ai-trading-claude trade-technical --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
trade-technical
GitHub stars
268
Token cost
~3.8k tokens
SKILL.md length
1,634 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Technical Analysis Agent — price action, indicators, chart patterns, support/resistance, and momentum analysis with Technical Score (0-100)

  • Works in 7 steps: Trend Analysis → Support & Resistance Levels → Momentum Indicators → …
  • Business, Finance & HR work in your project
  • SKILL.md covers Input Handling, Data Gathering, Analysis Framework and Scoring System, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Business, Finance & HR work in your project

Example prompts

  • “/trade-technical”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Trend Analysis
  2. Support & Resistance Levels
  3. Momentum Indicators
  4. Volume Analysis
  5. Chart Patterns
  6. Bollinger Band Analysis
  7. Relative Strength vs SPY

What it can do on your machine

Read from SKILL.md and the folder at commit c6d7252. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

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.

Safety

Auto-check passed

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.

SKILL.md

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.

Download SKILL.mdSave it as .claude/skills/trade-technical/SKILL.md (or your agent's skills folder).
name
trade-technical
description
Technical Analysis Agent — price action, indicators, chart patterns, support/resistance, and momentum analysis with Technical Score (0-100)

Technical Analysis Agent

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.


Input Handling

You will receive one of two types of input:

  1. Direct invocation — User runs /trade technical <TICKER>. You must gather all data yourself via WebSearch.
  2. Subagent invocation — The trade-analyze orchestrator passes you a 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.


Data Gathering

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:

  • Current price and today's change
  • 20-day EMA (or SMA if EMA unavailable)
  • 50-day EMA
  • 200-day EMA
  • Price position relative to each MA (above/below, distance %)
  • Recent crossovers (golden cross, death cross)

Search 2 — Technical Indicators Query: "<TICKER> stock RSI MACD stochastic indicators" Gather:

  • RSI (14-period): current value
  • MACD: MACD line, signal line, histogram value and direction
  • Stochastic oscillator: %K and %D values
  • Bollinger Bands: upper, middle, lower band values, bandwidth, squeeze status
  • Average True Range (ATR)

Search 3 — Volume & Accumulation Query: "<TICKER> stock volume analysis accumulation distribution" Gather:

  • Current daily volume
  • 20-day average volume
  • 50-day average volume
  • Volume trend (increasing/decreasing/flat)
  • Any volume spikes in the past 10 sessions
  • On-Balance Volume (OBV) direction if available
  • Accumulation/Distribution line direction if available

Search 4 — Support, Resistance & Chart Patterns Query: "<TICKER> stock support resistance levels chart pattern 2026" Gather:

  • Key support levels (at least 3)
  • Key resistance levels (at least 3)
  • Active chart patterns (flags, wedges, triangles, head & shoulders, double tops/bottoms, cup & handle, ascending/descending channels)
  • 52-week high and low
  • Fibonacci retracement levels from the most recent significant swing

Search 5 — Relative Strength Query: "<TICKER> stock performance vs S&P 500 relative strength" Gather:

  • 1-month performance vs SPY
  • 3-month performance vs SPY
  • 6-month performance vs SPY
  • Sector performance comparison
  • Is the stock leading or lagging its sector?

Analysis Framework

After gathering data, analyze each dimension thoroughly.

1. Trend Analysis

Determine the primary trend by evaluating:

Moving Average Alignment (EMA Stack)

  • Bullish alignment: Price > EMA 20 > EMA 50 > EMA 200 (all rising)
  • Bearish alignment: Price < EMA 20 < EMA 50 < EMA 200 (all falling)
  • Mixed: MAs are tangled or diverging — trend is unclear or transitioning

Price Structure

  • Bullish: Higher highs and higher lows on the daily chart
  • Bearish: Lower highs and lower lows on the daily chart
  • Range-bound: Price oscillating between clear support and resistance

Trend Strength Assessment

  • Strong trend: Price making consistent new highs/lows with volume confirmation
  • Moderate trend: Trend intact but showing signs of deceleration (narrowing range, declining volume)
  • Weak/Exhausting trend: Divergences present, volume declining, momentum fading

Assign a Trend classification: Strong Uptrend / Uptrend / Neutral / Downtrend / Strong Downtrend

2. Support & Resistance Levels

Identify at least 3 support and 3 resistance levels. For each level, note:

  • The price level
  • Why it matters (prior high/low, moving average, Fibonacci level, volume node, round number)
  • Strength rating (Strong / Moderate / Weak) based on number of touches and recency
  • Whether the level is ascending, descending, or horizontal

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] |
3. Momentum Indicators

RSI (Relative Strength Index, 14-period)

  • Current value and interpretation:
    • Above 70: Overbought — potential pullback risk
    • 50-70: Bullish momentum
    • 30-50: Bearish momentum
    • Below 30: Oversold — potential bounce setup
  • RSI trend: Is RSI making higher lows (bullish) or lower highs (bearish)?
  • Divergences: Is price making new highs while RSI makes lower highs (bearish divergence)? Or price making new lows while RSI makes higher lows (bullish divergence)?

MACD (Moving Average Convergence Divergence)

  • MACD line position relative to signal line (above = bullish, below = bearish)
  • Histogram direction (expanding = momentum increasing, contracting = momentum waning)
  • Zero-line position (above zero = bullish bias, below = bearish bias)
  • Recent crossovers (bullish crossover = MACD crosses above signal, bearish = below)
  • Divergences from price action

Stochastic Oscillator (%K / %D)

  • Current position in the 0-100 range
  • Overbought (above 80) or oversold (below 20) status
  • %K/%D crossover signals
  • Divergences from price

Combined Momentum Assessment: Synthesize all three indicators into a single momentum verdict:

  • All three bullish = Strong Bullish Momentum
  • Two bullish, one neutral/bearish = Bullish Momentum
  • Mixed signals = Neutral Momentum
  • Two bearish, one neutral/bullish = Bearish Momentum
  • All three bearish = Strong Bearish Momentum
4. Volume Analysis

Volume vs Average

  • Compare current volume to 20-day and 50-day averages
  • Above-average volume on up days = accumulation (bullish)
  • Above-average volume on down days = distribution (bearish)
  • Below-average volume on the current move = lack of conviction (caution)

On-Balance Volume (OBV)

  • OBV rising = accumulation, even if price is flat (bullish divergence)
  • OBV falling = distribution, even if price is flat (bearish divergence)
  • OBV confirming price = trend is healthy

Volume Pattern Assessment

  • Climax volume (extremely high): Often marks turning points
  • Dry-up volume (extremely low): Often precedes breakouts
  • Volume expansion on breakout: Confirms the move
  • Volume contraction in consolidation: Normal, healthy base building

Volume Verdict: Accumulation / Distribution / Neutral / Inconclusive

5. Chart Patterns

Identify any active or recently completed chart patterns. For each pattern found:

Bullish Patterns to Look For:

  • Bull flag / pennant (continuation)
  • Cup and handle (continuation)
  • Inverse head and shoulders (reversal)
  • Double bottom / triple bottom (reversal)
  • Ascending triangle (continuation)
  • Rounding bottom / saucer (reversal)
  • Tight consolidation after breakout (VCP — volatility contraction pattern)

Bearish Patterns to Look For:

  • Bear flag / pennant (continuation)
  • Head and shoulders (reversal)
  • Double top / triple top (reversal)
  • Descending triangle (continuation)
  • Rising wedge (reversal)
  • Distribution dome / rounding top

For each pattern, document:

  • Pattern name and type (continuation vs reversal)
  • Completion percentage (how far along is the pattern?)
  • Breakout/breakdown level
  • Measured move target (pattern height projected from breakout)
  • Volume characteristics (does volume confirm the pattern?)

If no clear patterns are present, state that the chart is in a "no pattern" or "base building" phase.

Show full SKILL.md (622 more words)Show less
6. Bollinger Band Analysis
  • Current price position within the bands (upper, middle, lower)
  • Bandwidth: Expanding (volatility increasing) or contracting (squeeze forming)
  • Bollinger Band squeeze: When bands are at their narrowest in 6+ months, a major move is imminent
  • Band walk: Price riding the upper band (strong uptrend) or lower band (strong downtrend)
  • Mean reversion signals: Price at extreme bands with momentum divergence
7. Relative Strength vs SPY

Compare the stock's performance against the S&P 500:

TimeframeTICKER %SPY %Outperform?
1 MonthX%X%Yes/No
3 MonthsX%X%Yes/No
6 MonthsX%X%Yes/No
  • Consistent outperformance = institutional demand, relative strength leader
  • Consistent underperformance = being sold, relative weakness
  • Recent shift from under to outperformance = potential new leadership
  • Recent shift from over to underperformance = losing momentum

Scoring System

Calculate the Technical Score (0-100) by scoring 5 sub-dimensions (0-20 each):

Trend Score (0-20)
CriteriaPoints
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
Momentum Score (0-20)
CriteriaPoints
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
Volume Score (0-20)
CriteriaPoints
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
Pattern Quality Score (0-20)
CriteriaPoints
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)
Relative Strength Score (0-20)
CriteriaPoints
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:

  • No sub-score can go below 0 or above 20
  • Round the final composite to the nearest integer
  • If data is unavailable for a criterion, do not award or deduct points for it; note it as a data gap

Output Format

Write the analysis to TRADE-TECHNICAL-<TICKER>.md in the current working directory.

Use this structure:

markdown
# 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.

Error Handling

  • If technical data is sparse (e.g., recently IPO'd stock), note data limitations and score conservatively.
  • If conflicting signals arise across indicators, explicitly call out the conflict rather than forcing a directional conclusion.
  • If the stock is an ETF, adjust analysis to focus on sector trends rather than company-specific patterns.
  • If volume data is unreliable (penny stock, thinly traded), flag this as a major risk factor.

Important Rules

  1. NEVER fabricate indicator values. If you cannot find RSI, MACD, or other specific values, say "Data not available" and score that sub-dimension conservatively (8-10 out of 20).
  2. ALWAYS present both bullish and bearish scenarios regardless of your directional bias.
  3. ALWAYS include specific price levels — not vague statements like "support is nearby."
  4. ALWAYS explain WHY a level matters, not just THAT it exists.
  5. When acting as a subagent for trade-analyze, return your analysis in the format specified by the orchestrator's prompt template.
  6. ALWAYS include the disclaimer in your output.

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

Files

Just SKILL.md in skills/trade-technical of zubair-trabzada/ai-trading-claude.

Open the folder on GitHubat commit c6d7252

Compare with similar skills

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.

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Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
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Questions about Trade Technical

What does Trade Technical do?

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.

When should I use Trade Technical?

Trade Technical fits situations like: business, Finance & HR work in your project.

How do I install Trade Technical in Claude Code?

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.

How do I install Trade Technical in Codex?

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.

Can I use Trade Technical in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Trade Technical need to run?

SKILL.md names no scripts, command-line tools or credentials: Trade Technical is instructions for the agent only.

Does Trade Technical access the network?

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.

Is Trade Technical safe to install?

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.

What licence does Trade Technical use?

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.

How many tokens does Trade Technical use?

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.

What are the alternatives to Trade Technical?

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.

Who maintains Trade Technical?

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.