/scanner-bullish

name: scanner-bullish
description: 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.
dependencies: ["trading-skills"]

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.