git:20260409.69b19cb to git:20260409.194c624

12 added, 7 removed. Audit A to A.

---

name: scanner-pmcc

description: Scan stocks for Poor Man's Covered Call (PMCC) suitability. Analyzes LEAPS and short call options for delta, liquidity, spread, IV, yield, trend direction, and earnings proximity. Use when user asks about PMCC candidates, diagonal spreads, or LEAPS strategies.

dependencies: ["trading-skills"]

---

# PMCC Scanner

Finds optimal Poor Man's Covered Call setups by scoring symbols on option chain quality.

## What is PMCC?

Buy deep ITM LEAPS call (delta ~0.80) + Sell short-term OTM call (delta ~0.20) against it. Cheaper alternative to covered calls.

## 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 [options]

```

## Arguments

- `SYMBOLS` - Comma-separated tickers or path to JSON file from bullish scanner

- `--min-leaps-days` - Minimum LEAPS expiration in days (default: 270 = 9 months)

- `--leaps-delta` - Target LEAPS delta (default: 0.80)

- `--short-delta` - Target short call delta (default: 0.20)

- `--output` - Save results to JSON file

- ## Scoring System (range: -4.5 to ~14.5)

+ ## Scoring System (max possible: 14, range: -4 to 14)

| Category | Condition | Points |

|----------|-----------|--------|

| **Delta Accuracy** | LEAPS within ±0.05 | +2 |

| | LEAPS within ±0.10 | +1 |

| | Short within ±0.05 | +1 |

| | Short within ±0.10 | +0.5 |

| **Liquidity** | LEAPS vol+OI > 100 | +1 |

| | LEAPS vol+OI > 20 | +0.5 |

| | Short vol+OI > 500 | +1 |

| | Short vol+OI > 100 | +0.5 |

| **Spread** | LEAPS spread < 5% | +1 |

| | LEAPS spread < 10% | +0.5 |

| | Short spread < 10% | +1 |

| | Short spread < 20% | +0.5 |

| **IV Level** | 25-50% (ideal) | +2 |

| | 20-60% | +1 |

| **Yield** | Annual > 50% | +2 |

| | Annual > 30% | +1 |

| **Trend** | Price > SMA50 | +1 / -1 |

| | RSI > 50 | +0.5 / -0.5 |

| | MACD > signal | +0.5 / -0.5 |

- | **Earnings** | Next earnings > 45 days | +0.5 |

+ | **Earnings** | Next earnings > 45 days | +1.0 |

| | Earnings within 45 days | -1.0 |

| | Earnings within short expiry | -2.0 |

## Output

Returns JSON with:

- `criteria` - Scan parameters used

- `results` - Array sorted by score:

- - `symbol`, `price`, `iv_pct`, `pmcc_score`

+ - `symbol`, `price`, `iv_pct`, `pmcc_score`, `max_possible_score` (always 14)

- `leaps` - expiry, strike, delta, bid/ask, spread%, volume, OI

- `short` - expiry, strike, delta, bid/ask, spread%, volume, OI

- `metrics` - net_debit, short_yield%, annual_yield%, capital_required

- - `score_breakdown` - trend_delta, trend (per-indicator explanation), earnings_delta, earnings (explanation)

+ - `score_breakdown` - every scoring component as a `<name>_delta` (float) + `<name>` (explanation string) pair:

+ - Base: `leaps_delta`, `short_delta`, `leaps_liquidity`, `short_liquidity`, `leaps_spread`, `short_spread`, `iv`, `yield`

+ - Trend: `trend_delta`, `trend` (per-indicator dict)

+ - Earnings: `earnings_delta`, `earnings`

+ - All `_delta` values sum to `pmcc_score`

- `errors` - Symbols that failed (no options, insufficient data)

## Examples

```bash

# Scan specific symbols

uv run python scripts/scan.py AAPL,MSFT,GOOGL,NVDA

# Use output from bullish scanner

uv run python scripts/scan.py bullish_results.json

# Custom delta targets

uv run python scripts/scan.py AAPL,MSFT --leaps-delta 0.70 --short-delta 0.15

# Longer LEAPS (1 year minimum)

uv run python scripts/scan.py AAPL,MSFT --min-leaps-days 365

# Save results

uv run python scripts/scan.py AAPL,MSFT,GOOGL --output pmcc_results.json

```

## Key Constraints

- Short strike **must be above** LEAPS strike

- Options with bid = 0 (illiquid) are skipped

- Moderate IV (25-50%) scores highest

## Interpretation

- - Score > 11: Excellent candidate (strong structure + bullish trend + clear earnings runway)

- - Score 9-11: Good candidate

- - Score 6-9: Acceptable with caveats

+ - Score > 12: Excellent candidate (strong structure + bullish trend + clear earnings runway)

+ - Score 10-12: Good candidate

+ - Score 6-10: Acceptable with caveats

- Score < 6: Poor structure, bearish trend, or earnings risk

+ - `max_possible_score` is always 14 — use `pmcc_score / max_possible_score` to gauge how close a candidate is to perfect

## Dependencies

- `numpy`

- `pandas`

- `scipy`

- `yfinance`