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.
- Installs
- 90
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/staskh/trading_skills --skill scanner-bullish- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads scanner-bullish automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Bullish Scanner
Scans symbols for bullish trends and ranks them by composite score.
Instructions
Note: If
uvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
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 scansymbols_scanned- Total symbols analyzedresults- Array sorted by score (highest first):symbol,score,pricenext_earnings,earnings_timing(BMO/AMC)period_return_pct,pct_from_sma20,pct_from_sma50rsi,macd,macd_signal,macd_hist,adx,dmp,dmnema9,ema21— current EMA9 and EMA21 valuesema_crossover- Most recent EMA9/EMA21 crossover (ornullif 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 (ornullif 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 smalldays_ago(0-5): fresh bullish crossover — early entry signaldirection: "up"from a deeply negative signal: recovery from correctiondirection: "down": momentum has turned bearish regardless of scorenull: no sign change found in the period — trend has been consistently one-directional
Examples
# 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
pandaspandas-tayfinance
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.
FAQ
What does the scanner-bullish 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.
How do I install scanner-bullish?
Run npx skills add https://github.com/staskh/trading_skills --skill scanner-bullish in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/scanner-bullish/ (personal) or .claude/skills/scanner-bullish/ (project).
Which AI agents can use scanner-bullish?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is scanner-bullish safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains scanner-bullish?
It is published by staskh in staskh/trading_skills. It has 90 recorded installs.
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