scanner-bullish

Business

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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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)

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

# 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.