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This is the first report on the multi-market trading system performance in the "isolated" mode. The "isolation" means that each market is being predicted independently of the rest, with no attempt to discover and learn inter-market patterns such as those we observed and reported. The money-management component of the algorithm is aware of the concurrent trading ideas form the different markets and weighs them against one another, selecting the most promising. Initially seen as a "boring" step (so-called Step Two) towards a smarter algorithm that does take full advantage of those patterns, the isolated analysis also provides a benchmark against which the value of the inter-market analysis will be measured. One might expect that for the same values of the parameters the profitability of the Step Two algorithm would be comparable to that of Step One, while the volatility of the performance (investment risk) would be reduced thanks to portfolio diversification. This preliminary study reveals that, all the algo parameters being the same, the competition between trading ideas boosts the profitability considerably, but also increases the risk. The fact of the "interaction" between trade ideas questions the original assumption that the best money-management parameters for the isolated markets are the best in the multi-market scenario, as already noted in the preliminary Step Three report.