How can you combine multiple indicators ?
In statistics and ML there's a concept called bagging - which is a method to reduce the error (variance) by combining multiple different models.
In simple terms, think about it this way - if you ask one person to vote on whether a stock is likely to move up or down in the next few days, and they give you their best estimate, they might still be wrong. But if you ask 100 people to vote on the same, your changes of being wrong will reduce.
This is similar to how multiple indicators (and models) are combined to estimate the likely direction of price movement. This is a very common practice in algorithmic trading wherein thousands of models are combined together to estimate the price movement.
You can combine different indicators too. A simple way would be to normalise the scale of indicators and then take their average.
I recently picked up a few models from a research paper and coded it up in python and combined them through bagging. I am daily testing the performance in market. I post the model output in Telegram group which you can also join for free (link in my profile). So far the results look good.
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