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The strategy goes long or short when a strong signal is detected. Using the above strategy, I have developed an optimized algorithm over the last 6 years that adapts according to market conditions. The algorithm contains the most optimal market indicators and ossilations for the DOW. It is not a simple strategy that adjusts depending on the day of the week and time of the day.

The position size adjusts according to the preset capital size. It is automatically calculated before each position opening according to the preset starting capital and the profit/loss of the strategy. Currently, the position size is set with a starting capital of 10,000 EUR and with a fixed risk percentage (0,05% by default) – this corresponds to 5% of the starting capital plus strategy profit/loss. This variable can be adjusted by users as they wish. Of course, the position size can also be set by users with a fixed position size.

When the profit reaches 400 points/points the trailing stop is activated for 90 points/points. In addition, a stop loss is available, this is at 3000 points / points.
So if 1 contract is traded, the trailing stop is activated with a profit of 400 EUR, if the price falls, a profit of 310EUR is realized. However, if the stock market crashes, the position is closed with a loss of 3000 EUR. These values can be changed by the users.

Certainly, the historical performance in backtesting is not a guarantee of success in the future. Since I have achieved a positive effect with this trading system in my trading account, I offer it here. As described above, this algorithm has been further optimized in recent years. Meanwhile, I exclusively use the offered trading system in my private trading account. I maintain this trading system as needed to integrate the current market events (occasionally in each quarter) into the system, so that the system can better react to the future market developments. Of course, I will also make the improvements to my products in the Marketplace.

The automatic trading strategy “AlphaTrade_DOW_M30_STR1” refers to the DOW in M30 and has been fine-tuned to increase the profit. This is an alternative for those who want to achieve a strategy with higher profit than that of STR2, but accept additional risk.

The automatic trading strategy “AlphaTrade_DOW_M30_STR2” refers to the DOW in M30 and was created based on “AlphaTrade_DOW_M30_STR1”. The STR2 was fine-tuned to reduce the drawdown. This is an alternative for those who want a strategy with lower risk than that of STR1, but accept a lower profit.

Update 12.01.2021: AlphaTrade_DOW_M30_STR16 (3th. Strategie) was developed on the basis of strategies 1 and 2. In the new strategy, VPOC were additionally implemented. This reduced the maximum drawdown.

In any case wish you all a successful trading.

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Update 12.01.2021: AlphaTrade_DOW_M30_STR16 was developed on the basis of strategies 1 and 2. In the new strategy. This reduced the maximum drawdown.

 

A profit from 30/06/2016 to date of over EUR 56K/71K with a starting capital of 10,000 and 5% invested capital:

The position size adjusts according to the preset capital size

A profit from 30/06/2016 to date of over EUR 68,000 with a starting capital of 10,000 and 5% invested capital:

A profit from 30/06/2016 to date of over EUR 448,000 with a starting capital of 10,000 and 10% invested capital:

A profit from 30/06/2016 to date of over EUR 2.806,000 with a starting capital of 10,000 and 15% invested capital:

Below you will find the real evaluations of the last 8 months of the trading strategy on the AlphaTrade_DOW_M30_STR2:

The two strategies are based on the same algorithm with a fine optimization, therefore the two equity curves are similar to each other. Since I wanted to keep the risk lower, I used the variant AlphaTrade_DOW_30min_STR2 in my trading account (see results below):

Result for the period 26.10.2020 to 09.11. 2020:Result for the period 10. 11.2020 to 08.02. 2021:

Result for the period 02.04.2021 to 30.06. 2021:

Update 16.08.2021-Result for the period 28.06.2021 to 16.08. 2021:

 

Update 11.11.2021-Result for the period 28.06.2021 to 11.11. 2021:

Update 11.11.2021-Result for the period 11.11.2021 to 30.04. 2022:

 

Backtest (live since 13.10.2020)

 

If you have any further questions, please do not hesitate to contact me.

 

 

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