Technical Analysis

Community

staskh

technical-analysis

Compute technical indicators like RSI, MACD, Bollinger Bands, SMA, EMA for a stock. Use when user asks about technical analysis, indicators, RSI, MACD, moving averages, overbought/oversold, or chart analysis.

Overview

Publisher	staskh
Repository	`trading_skills`
Skill name	`technical-analysis`
Stars	386
Forks	86
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by staskh on GitHub. Read the source before you install it.

Installation

Install the Technical Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/staskh/trading_skills/tree/main/.claude/skills/technical-analysis
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/staskh/trading_skills.git /tmp/trading_skills
mkdir -p .claude/skills
cp -r /tmp/trading_skills/.claude/skills/technical-analysis .claude/skills/technical-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Technical Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Technical Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Technical Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Technical Analysis

Compute technical indicators using pandas-ta. Supports multi-symbol analysis and earnings data.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

bash
uv run python scripts/technicals.py SYMBOL [--period PERIOD] [--indicators INDICATORS] [--earnings]

Arguments

SYMBOL - Ticker symbol or comma-separated list (e.g., AAPL or AAPL,MSFT,GOOGL)
--period - Historical period: 1mo, 3mo, 6mo, 1y (default: 3mo)
--indicators - Comma-separated list: rsi,macd,bb,sma,ema,atr,adx (default: all)
--earnings - Include earnings data (upcoming date + history)

Output

Single symbol returns:

price - Current price and recent change
indicators - Computed values for each indicator
risk_metrics - Volatility (annualized %) and Sharpe ratio
signals - Buy/sell signals based on indicator levels
earnings - Upcoming date and EPS history (if --earnings)

Multiple symbols returns:

results - Array of individual symbol results

Crossovers

indicators.macd.crossover - Most recent MACD line/signal crossover, or null:
- direction - "up" (MACD crossed above signal = bullish) or "down" (crossed below = bearish)
- days_ago - Trading bars since the crossover (0 = happened on the most recent bar)
indicators.ema.crossover - Most recent EMA9/EMA21 crossover (same shape; null if none). indicators.ema also reports ema9 and ema21 alongside ema12/ema26.

Interpretation

RSI > 70 = overbought, RSI < 30 = oversold
MACD crossover = momentum shift; crossover.days_ago of 0-5 = fresh signal
EMA9/21 crossover confirms short-term momentum; MACD typically leads, EMA confirms
Price near Bollinger Band = potential reversal
Golden cross (SMA20 > SMA50) = bullish
ADX > 25 = strong trend
Sharpe ratio > 1 = good risk-adjusted returns, > 2 = excellent
Volatility (annualized) = standard deviation of returns scaled to annual basis

Examples

bash
# Single symbol with all indicators
uv run python scripts/technicals.py AAPL

# Multiple symbols
uv run python scripts/technicals.py AAPL,MSFT,GOOGL

# With earnings data
uv run python scripts/technicals.py NVDA --earnings

# Specific indicators only
uv run python scripts/technicals.py TSLA --indicators rsi,macd

Correlation Analysis

Compute price correlation matrix between multiple symbols for diversification analysis.

Instructions

bash
uv run python scripts/correlation.py SYMBOLS [--period PERIOD]

Arguments

SYMBOLS - Comma-separated ticker symbols (minimum 2)
--period - Historical period: 1mo, 3mo, 6mo, 1y (default: 3mo)

Output

symbols - List of symbols analyzed
period - Time period used
correlation_matrix - Nested dict with correlation values between all pairs

Interpretation

Correlation near 1.0 = highly correlated (move together)
Correlation near -1.0 = negatively correlated (move opposite)
Correlation near 0 = uncorrelated (independent movement)
For diversification, prefer low/negative correlations

Examples

bash
# Portfolio correlation
uv run python scripts/correlation.py AAPL,MSFT,GOOGL,AMZN

# Sector comparison
uv run python scripts/correlation.py XLF,XLK,XLE,XLV --period 6mo

# Check hedge effectiveness
uv run python scripts/correlation.py SPY,GLD,TLT

Dependencies

numpy
pandas
pandas-ta
yfinance

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/correlation.py1 KB
scripts/technicals.py1 KB

Frequently asked questions

What does the Technical Analysis AI skill do?

Why use Technical Analysis on TypingMind?

Because you install it once and use it with any model. Technical Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Technical Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/staskh/trading_skills/tree/main/.claude/skills/technical-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Technical Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Technical Analysis?

As many as you like. As long as a model supports skills, you can use Technical Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Technical Analysis AI skill free?

Yes. It is published on GitHub by staskh under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Technical Analysis

Instructions

Arguments

Output

Crossovers

Interpretation

Examples

Correlation Analysis

Instructions

Arguments

Output

Interpretation

Examples

Dependencies

Timezone

Bundled files

Frequently asked questions

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