performances at 210 portfolios that reached maturity.

Each portfolio consists of 6 stocks (long and short) with 60.000 $ allocated (e.g. 10.000 $ for each stock).

The average monthly performance reached 227 $ implying a 4.5% annual return.

Overall, 56% of the portfolios closed with positive returns.

Out of all long positions, 54% took profit, 25% were stop loss, and 21% were open at the end of the 30 days of portfolio duration.

Out of all short positions, 32% took profit, 41% were stop loss, and 27% were open at the end of the 30 days of portfolio duration.

The target is to reach a stable 5-6% in annual return for this first year of AI Trading on the Nasdaq 100 securities.

An AI trading experiment on Nasdaq 100:

I’ve always wondered if AI could manage investments better than human beings.
As an individual investor I have always suffered from the emotions of fear, euphoria, greed, the rush of making a profit, the reluctance to suffer a loss.
In recent years, Hedge Funds equipped with supercomputers and big data access have claimed to be able to consistently outperform the stock market. This capacity generates alpha, that is, the differential advantage of allocating money in a hedge fund rather than simply buying the reference index (SP500, Nasdaq, etc.).

Continue reading performance review performance in its initial 4 months has now reached 4 months of activity. The first data to examine is whether it has brought positive or negative results.

The 120 portfolios that have reached maturity have closed on average with about 60 dollars of profit, before commissions. first 4 months performance

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