Each asset in tradEAsy has some parameters configured. This can be seen from the validate screen, with the “more info” button.

In this example, we see the information about the EURUSD asset.

Next, we detail each one of the data parameters of the asset (left column).

## Asset data #

• Price point: It tells us the value of each point of the asset, on the absolute value of the price. For example, the EURUSD has 5 decimals. If the actual price was 1.12500 and it increases until 1.12550, the distance is from 50 points (0,00001 x 50).
• Nominal per lot: It tells us the nominal amount that exists in each lot of our assets. In the example of EURUSD, for each 1.00 lots, in the market we will have a nominal quantity equivalent to €100,000.
• Min. Lot size: this is the minimum unit of lot quantity allowed for an asset. In the case of EURUSD, for example, our minimum lot size will be of 0.01. That means that, for example, we could not open an order of 0.005 lots.
• Max. Lot size: this is the maximum number of lots allowed for the asset. For EURUSD, for example, we could not open more than 200 lots in each order (but we could open 2 or more orders that summed up exceed 200 lots).
• Lot step: This parameter indicates the amount of precision that we can use in assigning the lottery. For example, in EURUSD the minimum lot is 0.01; and e volume increment is 0.01; we can assign 0.01 – 0.01 – 0.01; … If the minimum batch was 1 and the volume increment was 0.1; then the batches that could be assigned would be 1.00 – 1.10 – 1.20 – 1.30 – 1.40; etc.
• Commission per lot: indicates the amount of commission charged for each open order of a lot. In the case of EURUSD, for each order of 1 lot, 7 dollars are made. This value is proportional, if 0.5 lots were opened, 3.5 dollars would be charged (tradEAsy validations include commissions in the results).

These would be the details of the test data parameters (right column).

## Test data #

• Start date: is the date on which the simulation starts.
• End date: is the date on which the simulation ends.
• Simulation quality: informs the level of detail of the simulation, where the number of ticks and the number of candles are defined.
• Simulation balance: Indicates the initial balance with which the validation will be carried out.
• Spread: indicates the spread (difference between Bid and Ask) that will be used in the validation. Play Video
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