Scanner Bullish

Q: Why use Scanner Bullish on TypingMind?

Because you install it once and use it with any model. Scanner Bullish 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.

Q: How do I install Scanner Bullish in TypingMind?

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

Q: Which AI models can use Scanner Bullish?

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.

Q: How many AI models can I use with Scanner Bullish?

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

Q: Is the Scanner Bullish 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.

Q: 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.

Q: 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.

Community

staskh

scanner-bullish

Scan stocks for bullish trends using technical indicators (SMA, RSI, MACD, ADX). Use when user asks to scan for bullish stocks, find trending stocks, or rank symbols by momentum.

Overview

Publisher	staskh
Repository	`trading_skills`
Skill name	`scanner-bullish`
Stars	386
Forks	86
Bundled files	1
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.
1 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 Scanner Bullish 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/scanner-bullish
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/scanner-bullish .claude/skills/scanner-bullish

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

Use it in TypingMind

Enable Scanner Bullish 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 Scanner Bullish 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 Scanner Bullish 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.

Bullish Scanner

Scans symbols for bullish trends and ranks them by composite score.

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/scan.py SYMBOLS [--top N] [--period PERIOD]

Arguments

SYMBOLS - Comma-separated ticker symbols (e.g., AAPL,MSFT,GOOGL,NVDA)
--top - Number of top results to return (default: 30)
--period - Historical period for analysis: 1mo, 3mo, 6mo (default: 3mo)

Scoring System (max ~9.5 points)

Indicator	Condition	Points
SMA20	Price > SMA20	+1.0
SMA50	Price > SMA50	+1.0
RSI	50-70 (bullish)	+1.0
	30-50 (neutral)	+0.5
	<30 (oversold)	+0.25
MACD	MACD > Signal	+1.0
	Histogram rising	+0.5
EMA9/21	EMA9 > EMA21 (golden cross)	+0.5
	EMA9 < EMA21 (death cross)	-0.25
Dual crossover	Both up, both ≤10 days	+1.0
	Both up, any age	+0.5
	Both down, both ≤10 days	-1.0
	Both down, any age	-0.5
	Directions conflict	-0.5
ADX	>25 with +DI > -DI	+1.5
	+DI > -DI only	+0.5
Momentum	period return / 20	-1 to +2

Output

Returns JSON with:

scan_date - Timestamp of scan
symbols_scanned - Total symbols analyzed
results - Array sorted by score (highest first):
- symbol, score, price
- next_earnings, earnings_timing (BMO/AMC)
- period_return_pct, pct_from_sma20, pct_from_sma50
- rsi, macd, macd_signal, macd_hist, adx, dmp, dmn
- ema9, ema21 — current EMA9 and EMA21 values
- ema_crossover - Most recent EMA9/EMA21 crossover (or null if none found):
  - direction - "up" (EMA9 crossed above EMA21 = bullish) or "down" (crossed below = bearish)
  - days_ago - Trading days since the crossover bar (0 = happened in the most recent bar)
- macd_crossover - Most recent MACD crossover (or null if none found):
  - direction - "up" (MACD crossed above signal = bullish) or "down" (crossed below = bearish)
  - days_ago - Trading days since the crossover bar (0 = happened in the most recent bar)
- signals - List of triggered conditions

EMA Crossover Interpretation

EMA9 > EMA21 with small days_ago (0-5): fresh golden cross — short-term momentum confirmed
EMA9 just crossed below EMA21: death cross — short-term momentum turning negative
EMA9 crossover lagging MACD crossover by days: normal — MACD leads, EMA confirms
null: EMA9/21 relationship unchanged throughout the period

MACD Crossover Interpretation

direction: "up" with small days_ago (0-5): fresh bullish crossover — early entry signal
direction: "up" from a deeply negative signal: recovery from correction
direction: "down": momentum has turned bearish regardless of score
null: no sign change found in the period — trend has been consistently one-directional

Examples

bash
# Scan a few symbols
uv run python scripts/scan.py AAPL,MSFT,GOOGL,NVDA,TSLA

# Get top 10 from larger list
uv run python scripts/scan.py AAPL,MSFT,GOOGL,NVDA,TSLA,AMD,AMZN,META --top 10

# Use 6-month lookback
uv run python scripts/scan.py AAPL,MSFT,GOOGL --period 6mo

Interpretation

Score > 6: Strong bullish trend
Score 4-6: Moderate bullish
Score 2-4: Neutral/weak
Score < 2: Bearish or no trend

Dependencies

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/scan.py1 KB

Frequently asked questions

What does the Scanner Bullish AI skill do?

Scan stocks for bullish trends using technical indicators (SMA, RSI, MACD, ADX). Use when user asks to scan for bullish stocks, find trending stocks, or rank symbols by momentum.

Why use Scanner Bullish on TypingMind?

Because you install it once and use it with any model. Scanner Bullish 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 Scanner Bullish in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/staskh/trading_skills/tree/main/.claude/skills/scanner-bullish. 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 Scanner Bullish?

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 Scanner Bullish?

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

Is the Scanner Bullish 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

Bullish Scanner

Instructions

Arguments

Scoring System (max ~9.5 points)

Output

EMA Crossover Interpretation

MACD Crossover Interpretation

Examples

Interpretation

Dependencies

Timezone

Bundled files

Frequently asked questions

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