Historical stock closes • modeled option premiums

Explore a Historical-Price Model for Options Strategies

Simulate options strategies like Iron Condors, Vertical Spreads, and Straddles on historical underlying closes with synthetic option prices. Inspect modeled P&L and each entry/exit; this is not a record of historical option quotes or executable trades.

12 Strategy Types
Prior realized-volatility proxy
100% Free

Strategy Configuration

Choose a structure and historical-price model window

Iron Condor

Sell OTM put spread + sell OTM call spread — neutral strategy

Buy Put (-$10)Sell Put (-$5)Sell Call (+$5)Buy Call (+$10)

Model experiment, not historical option executions. Premiums use European Black-Scholes with prior 30 daily-return volatility, zero rates and dividends, and synthetic strikes. Current option quotes and historical Greeks are not used. Costs, margin, assignment, liquidity and portfolio capital are not modeled; overlapping trades can require simultaneous funding.

Historical underlying prices do not supply historical option prices

This page explores how twelve synthetic option structures behave on a returned stock-price history. It requests FMP daily closes, including up to 90 calendar days before your start date for volatility warm-up. It does not request an option-chain snapshot: a current premium or Greek cannot establish what a past option cost. A true historical-options test needs point-in-time contracts, quotes, expirations, corporate actions and execution assumptions that this dataset does not contain.

Follow the model inputs to each closed scenario

  1. Choose a stock or ETF symbol, a preset, dates ending before today in UTC, an entry interval and 1–100 strategy units. The ten-year range limit bounds the request.
  2. The model validates positive finite closes, sorts dates and rejects duplicate dates. Entries are spaced by at least 7 or 14 calendar days, or by the first available day at the next calendar-month threshold. It does not guarantee the same weekday or monthly date.
  3. At an entry close, the model calculates the sample standard deviation of the preceding 30 log returns, using 31 closes strictly before the entry date, multiplied by √252. A missing warm-up window is skipped. Zero estimated volatility remains zero; no arbitrary fallback is inserted. A stale window (last close over seven days old or first close over 90 days old) or an annualized estimate above 1,000% is skipped as a data/model bound.
  4. Each synthetic strike equals the entry close plus the preset’s dollar offset. It is not rounded to an exchange-listed strike. Option prices use European Black-Scholes, zero rates and dividends, and the entry volatility estimate. The same volatility is retained at exit.
  5. The exit is the first returned close at or after the 30-day horizon, within seven calendar days and no later than your end date. If no eligible close exists, the entry is skipped. The trade log shows actual selected dates and prices.

Stock legs and calendar time value matter

A covered call includes a long stock position and a short call; a protective put includes long stock and a long put. Both presets purchase 100 shares per strategy unit at entry and include the stock’s value change at exit. Ignoring that stock leg would turn the covered-call calculation into an uncovered call result. Stock financing, distributions and early assignment are still excluded.

The calendar template sells a 30-day call and buys a 60-day call at one synthetic strike. It closes both at the near-term horizon: the short leg is valued intrinsically and the longer leg is repriced with its remaining days. For example, at an unchanged $100 stock price and 20% volatility, a 60-day call still has model time value after 30 days. Treating both legs as expired would erase the longer call’s remaining value.

The other templates are long call, long put, bull call spread, bear put spread, iron condor, iron butterfly, long straddle, long strangle and call butterfly. Their preset offsets and option quantities are displayed before running. All use one 100-share multiplier per contract. A preset with a nonpositive synthetic strike at a low stock price is skipped.

Statistics describe the model, not a funded account

Total P&L sums completed modeled positions. Positive-result rate counts results above zero; average loss includes negative results only. Profit factor divides summed positive results by the absolute summed negative results; an infinite value means the sample had gains and no losses, not an infinitely profitable strategy. There is no quality threshold such as “50% is good” or “1.5 is strong.”

Closed-P&L drawdown is the largest dollar decline from the cumulative closed-result peak, including the starting zero. Results are ordered by exit date. This is not mark-to-market account drawdown: open trades, cash, margin, deposits and liquidation are not modeled. Overlapping entries can consume simultaneous capital. The page therefore omits a percentage account return and Sharpe ratio rather than annualizing dollar trade outcomes.

Use the results to inspect assumptions

Realized volatility is a backward-looking stock statistic, not historical implied volatility. A constant proxy misses the volatility risk premium, skew and term structure. The model also excludes bid/ask spreads, commissions, slippage, taxes, dividends, borrow costs, early exercise, assignment, delistings and the liquidity of real contracts. Returned provider closes may be revised or adjusted; no contract-level corporate-action reconstruction is performed. Inspect date coverage and skipped counts before comparing runs.

References: OIC pricing-model limitations, covered-call stock exposure, and calendar spreads. This is an educational model, not investment advice or proof of past executable performance.

Model assumptions and limitations

Is this a historical options backtest?

It is a historical-stock-price model experiment. The page does not load historical option premiums, option Greeks or bid/ask records. It prices synthetic option legs with European Black-Scholes using earlier stock-return volatility as an assumption. Its results cannot establish historical fills, a tradable edge or an actual win rate.

How are option prices and volatility modeled?

For each entry the model uses 30 daily log returns from the preceding 31 closes, excluding the entry date, annualized with 252 trading days. That realized-volatility estimate is held fixed for the position and is not historical implied volatility. Rates and dividends are zero. Entries without sufficient prior data are skipped; there is no default 30% volatility or current-chain fallback.

How are covered calls, protective puts and calendars treated?

Covered call and protective put templates include 100 shares per strategy unit in both initial outlay and stock P&L. The calendar sells a 30-day call and buys a 60-day call at the same synthetic strike. Both close at the near-term model horizon; the longer option retains Black-Scholes time value. Early exercise and assignment are excluded.

When does a modeled position enter and exit?

Entries use available daily closes, spaced at least seven or fourteen calendar days apart, or at the next calendar-month threshold. A position closes on the first available close on or after its 30-day horizon, at most seven calendar days later and within the requested end date. Incomplete positions are skipped, never closed early using the nearest past price. These are synthetic horizons, not listed exchange expirations.

What do the statistics mean?

Positive-result rate, average positive/negative P&L and profit factor summarize completed model scenarios before costs. Closed-P&L drawdown is the dollar peak-to-trough decline starting at zero. It excludes open-position marks. No initial-capital, margin or cash-availability model is present, so the page does not report account percentage returns or an annualized Sharpe ratio.

Is the tool free and does it execute orders?

This page is free without registration and sends no orders. Historical stock data availability may be incomplete. Synthetic strikes, constant volatility, zero rates and dividends, and omitted fees, slippage and assignment limit the result. Overlapping scenarios are allowed without a funding check; compare assumptions, not promises of performance.

Develop and test separate chart-based rules

Pineify’s paid Coding Agent helps draft and revise Pine Script. Review generated code and test supported chart strategies in TradingView. This model does not export historical option contracts, certify a winning strategy or submit multi-leg orders.