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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.

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查看安装方法

包含的文件(2)

  • SKILL.md3.9 KB
  • scripts/scan.py1.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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.

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)

IndicatorConditionPoints
SMA20Price > SMA20+1.0
SMA50Price > SMA50+1.0
RSI50-70 (bullish)+1.0
30-50 (neutral)+0.5
<30 (oversold)+0.25
MACDMACD > Signal+1.0
Histogram rising+0.5
EMA9/21EMA9 > EMA21 (golden cross)+0.5
EMA9 < EMA21 (death cross)-0.25
Dual crossoverBoth 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
Momentumperiod 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

# 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.

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