FAQ

General Parameters Across All Bots

To make the settings of the EASY Trading AI robots clear and accessible, here is a detailed description of each parameter. These explanations should help traders understand the functionality and customization opportunities each parameter offers, allowing them to optimize the robots according to their trading preferences and risk tolerance.

1. MM Mode (Money Management Mode)

Fixed: The trader sets a specific lot size to be used in every trade.
% SL Level: The lot size is adjusted based on a percentage of the account balance and the set stop-loss level, aiming to manage risk according to the trader’s risk appetite.
Fixed Margin: Uses a fixed amount of the account’s margin per trade, allowing for consistent risk management across varying account sizes and leverage.

2. Lot (Fixed Lot Size)

This parameter allows traders to set a fixed lot size for each trade, providing control over the volume of each transaction irrespective of account balance changes.

3. Balance Protection Functions

Includes safety features such as Max Profit Day and Max Loss Day which automatically stop trading if specified profit or loss thresholds are reached within a day. This protects the trader’s balance from significant losses and locks in profits to avoid giving them back during volatile market conditions.

4. Max Signal Deviation in Pips

Sets the maximum allowable deviation in pips from the signal price at which a trade can be executed. This prevents entry into trades at prices significantly different from the signal, reducing slippage and improving trade execution accuracy.

5. Max Signal Deviation in Sec

Defines the maximum time in seconds that can elapse from when a signal is generated to when a trade can be executed. This ensures that trades are made with the most current information, minimizing the impact of market movements that occur shortly after a signal is received.

6. Max Spread

The maximum spread (in pips) under which the robot is allowed to trade. This setting helps avoid trading during times of high spread that may eat into potential profits.

Signal Analysis and Confirmation Parameters

1. Checking Signals Before Opening

A pre-trade validation process where incoming signals are analyzed against current market conditions to verify their reliability before executing a trade.

2. Min pp Similarity

Measures the minimum number of pips (converted into ticks) that must align with the tick rate in a specific period to generate a signal. This setting determines the sensitivity of the pattern recognition models to price movements, allowing for customization of signal precision.

3. Model Analyze

Specifies the algorithm or model used to analyze market data and generate trading signals. Different models may be based on trend analysis, mean reversion strategies, or other statistical techniques.

4. Min Number of Confirmation in pp

The minimum number of subsequent price points that must confirm a signal before a trade can be executed. This helps in reducing the risk of false signals leading to poor trades.

5. Confirmation Model

The specific model used to confirm initial trading signals. This could be a secondary pattern recognition model or a different analytical method that provides an additional layer of validation.

6. Spread Factor

Indicates how much the current spread affects the trading signal. A factor of 1 means that the spread has a 100% influence on the decision to trade, which is crucial during times of high market volatility.

Conclusion

These customizable parameters in EASY Trading AI robots allow traders to tailor their automated systems to align with personal trading strategies, risk levels, and market conditions. Understanding and correctly setting these parameters can significantly enhance the trading performance of each robot, providing users with a powerful tool in their trading arsenal.