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What is Trading Expectancy and how to implement this in your trading?

A common question among traders is how they can assess the efficiency and consistency of their approach. They are curious about the expected profit or loss on each trade using their present trading strategy. Trading expectancy is useful in this situation. The average result of a trade is based on a trader’s past performance and is commonly referred to as Trading expectancy. By demonstrating how to optimize these techniques, it can assist traders in achieving better trading outcomes. Alternatively, how can you determine which of the trading methods is best if you compare them? Naturally, there are several standards for what is “more effective,” but what matters is if a system is more dependable, consistent, or profitable. Something else you may be examining is which times of day are the most effective for trading.

There is a way to figure that out, though: Expectancy

    You can use expectancy, a mathematical formula or method (Algorithm), to evaluate gains (or losses). Additionally, it can assist in determining whether your trade is off due to the elements not included in your strategy, which helps prevent issues that might not be as obvious in a fast-paced trading environment.
    It operates by reviewing your most recent trades or trades for a particular period of time you like to review and contrasting winning and losing trades. If you do a little calculation, it will show you how much you should make trading with that system on average. You can accomplish this with as few as a dozen trades; but, the more trade history you enter, the more reliable the outcome is likely to be. Back testing is another option to increase the number of deals you include in the calculations. Alternatively, compare your long-term back testing with your actual trading.

    How does it work?
    To calculate Expectancy, multiply the percentage of winning transactions by the average profit, deduct the percentage of losing deals from the average loss, and repeat the process.

    Expectancy = (win rate * average win) – (loss rate * average loss)

    Of course, as trading conditions vary, it cannot forecast your future earnings. Furthermore, it won’t always be the same for the same reason. However, it might offer you some direction and a framework for more research.

    Implementing this in your trade

    For instance, you would have a 70% win rate if you made 10 trades and 5 of them were profitable. If your total wins equal, let’s say, $1,000, you can divide that amount by the total number of profitable transactions, and you’ll have an average win of $100. Three transactions remained, all of which were losers, since seven of the 10 were winners. Assume you lose each trade by the same amount that you win:

    Expectancy = (70% * $100) – (30% * $100) = $40.

    In simpler terms, you ought to expect gaining about $40 per trade on an average with such a strategy.

    If you need to compare two trading systems or techniques, this could be useful. If you need to compare two trading systems or techniques, this could be useful. One might give more signals but have a lower win ratio.. Which one will probably end up making the most money in the long run? Perhaps expectancy will provide the solution.

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