# What do the Open and Close Strategy (Os / Cs) Attributes tell about a trading strategy / DARWIN?

## Open Strategy (Os) and Close Strategy (Cs) metrics measure if the strategy would perform better by systematically opening/closing trades earlier/later.

### What is it?

Open Strategy (Os) and Close Strategy (Cs) Investable Attributes measure how skilled the trader is when opening / closing its trades.

It assesses the quality at the entrance / exit of trades and comparing their profitability with that of 10 simulations that systematically enter and exit the market either a bit earlier or later than the trader.

Os and Cs are scored from 0-10 and take into account the last 12 D-Periods of Experience (Ex).

• Open Strategy (Os)

Measures if the profitability of the strategy would have improved if the trader had opened trades a bit earlier or later.

The better the score, the more accurate the trader at opening trades.

• Close Strategy (Cs)

Measures if the profitability of the strategy would have improved if the trader had closed trades a bit earlier or later.

The better the score, the more accurate the trader at closing trades.

### How is Os/Cs calculated?

#### Open strategy (Os)

We simulate the return of 10 hypothetical trades that open 10%, 20%, 30%, 40%, and 50% before and after the actual real trade.

Once the simulations are done, we classify all trades per return and assign them the following reference scores (not to be mistaken for the final attribute score):

• 1 => first place
• 2 => second place
• 3 => third place
• ...
• 11 => last place

With all the reference scores accumulated in the Os Attribute, an arithmetic average is worked out, and the final score is calculated.

The closer to 1 the reference score is, the closer to 10 the final score for is Os Investable Attribute is, and vice versa.

#### Close strategy (Cs)

Together with the original trade's return, the returns of 10 hypothetical trades are simulated which close 10%, 20%, 30%, 40%, and 50% before and after the original trade.

Once the simulations are done, we classify all trades per return and assign them the following reference scores (be careful not to confuse this with the final Cs score):

• 1 => first place
• 2 => second place
• 3 => third place
• ...
• 11 => last place

With all the reference scores accumulated in the Cs Attribute, an arithmetic average is worked out, and the final score is calculated.

The closer to 1 the reference score is, the closer to 10 the final score for is Cs Investable Attribute is, and vice versa.

### Where I can see the data for the Os/Cs Investable Attributes?

As with all of the Investable Attributes at Darwinex, you access them either through the relevant icons (Os/Cs) on the main DARWIN/strategy page or through the tab ''Investable Attributes'' - ''Os''/''Cs''.

• Attributes bar

NOTE: If you hover the mouse over any Investible Attribute, you will be able to see both the current score and a brief description.

• Investible Attributes tab. ("Investible Attributes" - "Os"/"Cs")
• Open Strategy Graph (Os)
In the Open Strategy graph (Os) the quality of the original strategy's opening, shown in white, is compared with 10 simulated trades which all open a little before or after (+/- 10%, 20%, 30%, 40% y 50%) systematically.

• Close Strategy Graph (Cs).
In the Close Strategy graph (Os) the quality of the original strategy's opening, shown in white, is compared with 10 simulated trades which all open, systematically, a little before or after (+/- 10%, 20%, 30%, 40% y 50%).

### Tips

• Kaizen: constant improvement. The Os/Cs Attributes can help traders improve their entry and exit points since they will know perfectly if they enter/exit too early/late.
• Perfection does not exist. It is very difficult for a strategy to achieve good scores in all of the Investable Attributes, therefore you may find good DARWINs with low scores in Os/Cs.

Backtesting and Optimization Processes are of course essential activities for any algorithmic trader.