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Methodology · ProNot testable on our data

Options Strategies: a complete guide to the method

Options strategies trade not the direction of price but volatility and time, combining contracts of different strikes and expiries.

underlying price →P/Lput strikecall strikeprofit inside the rangeloss grows on a strong move in either direction
The payoff profile of a short strangle: limited profit between the strikes and a growing loss on a strong move.
Requirements
ParameterValue
With the brokerOptions account
Delta/Theta/Gamma/VegaGrasp of the Greeks
In case of an adverse moveMargin reserve
Holding horizonD1+

How it actually works

An option gives the right, but not the obligation, to buy or sell an asset at a fixed price by a certain date. This adds to ordinary trading two dimensions that spot does not have: the time to expiry and the expected volatility. The experienced options trader profits from exactly these, not only from the direction of the underlying.

Hence a fundamental distinction: a combination of options lets you build positions with a predefined risk-and-reward profile. You can cap the maximum loss, profit from a rise in volatility in any direction, earn income from the mere passage of time. The price of this flexibility is complexity: the result depends on several factors at once, and their interaction is not obvious.

A key feature is the asymmetry of time. A bought option loses time value every day, working against the buyer and for the seller. Selling options gives a steady income in a calm market but carries the risk of a large loss on a sharp move — an asymmetry that makes its risk profile akin to grid and martingale approaches.

Why this methodology cannot be honestly tested on our data

Options strategies operate on the prices of option contracts with different strikes and expiries, on implied volatility and on the passage of time. The available data is only the price of the underlying pair, EUR/USD; there is no option chain, no implied volatility and no term structure in it. Without this data an options position can be neither assembled nor valued.

What an honest test would require
To test it you need historical option-chain data: contract prices by strike and expiry, implied volatility, and an option-pricing model. This is a separate class of data, in no way derivable from the price of the underlying asset.

We deliberately show no backtest here: presenting attractive figures computed on unsuitable data would mislead the reader. An empty space is more honest than an invented result.

Pros and cons

Pros
  • Allow building positions with a predefined risk profile.
  • Offer the ability to profit from volatility regardless of direction.
  • Selling options brings income from the mere passage of time.
Cons
  • High complexity: the result depends on several factors at once.
  • Selling options carries the risk of a large loss on a sharp move.
  • Require data and tools unavailable on a simple spot account.

Nuances and pitfalls

Options traders are most often undone by selling volatility without understanding its asymmetry. Systematically selling options brings a steady small income and looks reliable right up until a sharp market move that, in a single episode, outweighs the profit of many months — the same catastrophic-tail profile as a grid and a martingale. The second beginner slip is buying options without accounting for time decay: even with a correct direction forecast, an option can produce a loss if the move arrives too late.

Who this methodology suits

For prepared traders who understand the effect of time and volatility on an option’s price and have access to the options market. It requires a deeper theoretical base than any of the spot approaches.

Frequently asked questions

Why can’t options strategies be tested on the price of a currency pair?

Because they trade the prices of option contracts, implied volatility and time to expiry, not just the price of the underlying. With only the pair’s quotes, an options position can be neither assembled nor valued: you need historical option chains by strike and expiry, which are absent from the price series.

Is it really more profitable to sell options than to buy them?

In a calm market the seller steadily earns from time decay, and this creates an illusion of reliability. But the risk profile is asymmetric: one sharp move can bring the seller a loss that outweighs the profit of many months. It is the same catastrophic tail as with grid strategies.

Why does an option lose value even with a correct forecast?

Because of time decay. A bought option grows cheaper every day as expiry approaches, and if the expected move arrives too late or turns out too weak, the loss of time value outweighs the gain from direction. Time works against the option buyer.

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