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.
pinned to #cc30858updated 2 weeks ago
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Last commit
2 weeks ago
Latest release
published
- #ai-trading
- #claude
- #claude-skills
- #mcp-server
- #option-trading
- #options-trading
About this skill
Pulled from SKILL.md at publish time.
Scans symbols for bullish trends and ranks them by composite score.
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.cc30858· 2 weeks ago
Kind-specific
31Skill: SKILL.md present
found at .claude/skills/scanner-bullish/SKILL.md · frontmatter source: SKILL.md
Skill: body content present
609 words · 3,676 chars · 10 sections · 2 code blocks
Skill: triggers declaredwarn
No `trigger` phrases in SKILL.md frontmatter
Add `trigger:` lines so Claude knows when to activate this skill — e.g. `when building MCP servers` or `for diagram creation`.
Skill: allowed-tools scope
no allowed-tools restriction (Claude may use anything)
Release history
1- releasecurrentcc30858warn2 weeks ago
Contents
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.
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mh install skills/scanner-bullish