--- 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. ```bash 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 ```bash # 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.