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eha Moving Averages Strategy

מעודכן
Moving Average based strategies are very popular ones among both long-term investors and short-term traders as they can be tailored to any time frame. One of the main moving average strategies are crossovers. The very simple type is a price crossover, which is when the price crosses above or below a moving average to signal a potential change in trend.

Another strategy is to apply two moving averages to a chart: one longer (or slow) and one shorter (or fast). When the shorter-term MA crosses above the longer-term MA, it's a buy signal, as it indicates that the trend is shifting up (also known as “Golden Cross”). Meanwhile, when the shorter-term MA crosses below the longer-term MA, it's a sell signal, as it indicates that the trend is shifting down (which is also known as “Dead/Death Cross”).

This is a study to find a suitable trading strategy for 4-6 hour time frames. As you can see the performance is currently very poor. It has just generated almost 90 trades in a very long period from January 2017 to the time of publishing the study for the first time.

Moving averages work quite well in strong trending conditions but poorly in choppy or ranging conditions. Adjusting the time frame can correct this problem temporarily, although, at some point, these issues are likely to occur regardless of the time frame chosen for the moving average(s).

I am working on this basic strategy to make its performance better and I will update the post in the future. So keep in touch by following the post.

Why have I republished my study?

It sounds like TradingView stores and indexes scripts based on the title of the post rather than the actual title of the scripts and if one chose general terms as the title of the post, the TradingView script search engine may be unable to find it. So I decided to repost the strategy with a more searchable and unique prefix of "eha".

Please provide me with your precious feedback.
הערות שחרור
some predefined strategy properties were added
BTCdaytradingMoving AveragesscalpingSimple Moving Average (SMA)strategytradingTrend Analysis

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© Ehsan Haghpanah (crumus.com)
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