Scanner Bullish Agent Skill

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.