bear-put-spread

A bear put spread identifies downside exposure by selling a lower-strike put and buying a higher-strike put on the same expiration. This Skill analyzes large-cap stocks to find setups, calculates max profit, max loss, and breakeven using delta, theta, and vega metrics, then recommends entry and exit timing based on spread width and risk/reward profiles.

Bear put spread analysis computes delta, gamma, theta, vega, max profit, max loss, breakeven price, and spread width. These metrics help traders assess directional bias, time decay benefit, volatility sensitivity, and the defined-risk boundaries of long and short put configurations on moderate price decline scenarios.

Yes. This Skill uses numpy≥1.24.0, pandas≥2.0.0, scipy≥1.10.0, and matplotlib≥3.7.0 to structure option data, compute Greeks, and evaluate spread opportunities. These libraries enable efficient calculation of risk metrics and comparative analysis across multiple strike configurations.

Bear put spread analysis evaluates both legs side-by-side: the long put (higher strike) caps loss, while the short put (lower strike) generates income. The Skill compares debit cost, max profit, max loss, and Greeks across narrow, standard, and wide spread widths to recommend the best configuration for your risk tolerance.

Spread width determines the distance between strike prices. Narrow spreads cost less but cap profit lower; wide spreads require larger debit but offer higher max profit. This Skill evaluates all three widths, showing cost, breakeven, and risk/reward trade-offs so you pick the setup matching your market outlook and capital allocation.

Exit timing depends on theta decay, delta movement, and vega sensitivity. This Skill produces recommended actions by analyzing how your spread's Greeks evolve toward expiration, helping you decide whether to close early for profit, hold for max decay benefit, or adjust when the underlying moves against your thesis.