DCA Bot

This DCA bot uses the famous Dollar Cost Averaging strategy to average into trades. The key advantage of the DCA strategy is that it is useful regardless of market direction. In order to control the risks associated with DCA, the bot limits the total number of positions to reduce chances of blowing the account.

Recommended symbols: US30, USTEC, YEN pairs, XAUUSD, BTCUSD, any volatile instument

This bot can be attached for any Timeframe chart based on the use case.

Scalping: M1, M5, M15 (Raw spread broker needed)

Intraday: M30, H1, H4 (Any spread broker)

Swing: D1, W1 (Any spread broker)

This EA is meant for individuals who want to take advantage of DCA strategy. For Prop accounts, start with a lower lot size and increase it gradually.

All attached backtests in the images are obtained using "Every tick based on real ticks" which is the most accurate way to test an EA.

Input Parameters

• Volume Settings

Set the volume lot size for the initial position and the volume to be added in subsequent positions

• Take Profit

Set the Take Profit points. The take profit is managed internally by the EA for precise control and to ensure proper synchronization between multiple positions

•  DCA Level

Similar to Stop Loss level. This is the points distance from the entry price after which the EA will start added positions for DCA

• Max Positions

Defines the maximum number of positions that can be opened by the EA. Limiting the number of positions reduces the risk of account blowing up due to insufficient margin

• EA Identification Parameters

Positive number to uniquely identify the trades placed by this EA. Particularly useful when there are multiple EAs running on the same symbol

Optimisation can be conducted to find the best values for TP points and DCA level suitable for your broker's specification.

Check out my other EAs available on: https://www.mql5.com/en/users/prasaddsa/seller

Risk Disclaimer

Trading involves risk. DCA is a strategy that adds to losers with excessive leverage, this can cause loses even with a profitable strategy. Backtest results are optimised and do not guarantee future performance. An EA may also incur losses due to glitches or incorrect inputs. Only trade with money you can afford to lose.