• Javier Gonzalez-Barros, CFTe
    Only Long Intra Nasdaq is an automated intraday trading system designed for investors with a strongly bullish outlook on the Nasdaq technology index. Its key feature is its intraday exposure, which sits at around 11.5% of the time. Unlike other approaches, Only Long Intra Nasdaq employs tightly set stop-loss levels. By doing so, it quickly contains potential losses while allowing winning trades to keep developing when the market shows significant upward momentum. This balance between
  • Javier Gonzalez-Barros, CFTe
    When assembling a trading portfolio, we analyzed various factors to assess whether it would be appropriate to diversify by asset type. Although our last two portfolios outperformed the market, they exhibited significant weakness due to the inclusion of systems trading in commodities, whose performance has been rather lackluster. For this reason, we believe it is not advisable to include them in the portfolio, at least over the next year. Below, we present a selection of
  • Javier Gonzalez-Barros, CFTe
    What is the probability that a system with 8 years of outperforming the market will continue to do so? I wish I had that exact answer, but I can say that, for now, it’s the best system available. It is currently experiencing a drawdown of $11,395, and on Friday it triggered a long entry in the Nasdaq. The most favorable environment for this system is an upward-trending market (though it also takes short positions). In
  • Javier Gonzalez-Barros, CFTe
    Designing a trading portfolio with only 50,000 USD involves taking on very high risk. While with 500,000 USD a couple of negative streaks may be manageable, with 50,000 USD that same downturn could force you out of trading. To create the portfolio, we will build it exclusively using Liderbot systems, as having first-hand knowledge of the strategies allows us to fully optimize the 50,000-euro capital. In any case, we will also create portfolios with larger
  • Javier Gonzalez-Barros, CFTe
    Throughout 2024, we developed two portfolios to analyze system performance, and now it’s time to evaluate any errors. The second portfolio was assembled at the end of May with the following systems: Those that performed the worst were the ones trading in commodities. The rest of the systems performed quite satisfactorily, with no major additional observations. It’s clear that continuous systems in indexes with a solid track record tend to maintain it, with the U.S.

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