Benchmark<\/div>

The US 500, 2 lots, about the same size as the portfolio<\/div><\/div>\n <\/div>\n\n \n

<\/span>AI Portfolio Status<\/span><\/h2>\n\n
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Stage<\/th> Status<\/th><\/tr>\n <\/thead>\n
Portfolio built<\/td> 12 October 2026, before the US market opens<\/td><\/tr>\n
Positions opened<\/td> 12 October 2026 after the US open, all eight<\/td><\/tr>\n
Positions closed<\/td> No later than 23 October 2026, after the US open<\/td><\/tr>\n
Result<\/td> Published on this page when the portfolio closes<\/td><\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n \n
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Open a RoboForex Account<\/div>\n
Trade stocks, ETFs, currencies and indices<\/a> from one account.<\/div>\n <\/div>\n
\n Open an Account<\/a>\n <\/div>\n <\/div>\n\n \n
<\/span>How the AI Portfolio Experiment Works<\/span><\/h2>\n\n
The portfolio was built with GPT-6 Sol, and the AI does the whole selection. It assesses the market, picks the instruments, splits the budget<\/a>, and calculates the position size, Take Profit and Stop Loss for every trade. Our part is technical: we check the quotes in StocksTrader before sending the orders, open the positions on the demo account and record the result.<\/p>\n\n
The request sent to the AI, translated from the original:<\/p>\n\n
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Prompt<\/div>\n
Build a portfolio for 12 to 23 October for a 10,000 USD deposit in StocksTrader. Use leverage of no more than 1:2 on stocks and ETFs and no more than 1:50 on currencies. Select a core, a defensive, a currency and a tactical block. Calculate the volume, reference entry, Take Profit and Stop Loss. Keep some funds free as a reserve.<\/p>\n <\/div>\n\n
The portfolio follows six rules:<\/p>\n
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Fixed horizon.<\/strong> Positions open on Monday 12 October after the US market opens. Everything still open is closed on Friday 23 October after the US open, whatever the result.<\/li>\n
Early exit.<\/strong> If the total profit of the portfolio, counting open positions, reaches 500 USD before 23 October, all remaining positions are closed at once.<\/li>\n
Levels follow the entry.<\/strong> Take Profit and Stop Loss keep the distance in percent that the AI set from its reference price, counted from the actual entry. A move before the order<\/a> then shifts the levels and leaves the risk of the trade unchanged.<\/li>\n
No second attempt.<\/strong> A position closed at its Stop Loss is not reopened within the same portfolio.<\/li>\n
Leverage.<\/strong> Up to 1:2 on stocks and ETFs, up to 1:50 on currencies.<\/li>\n
Reference prices.<\/strong> Stock and ETF prices are based on the close on 9 October. EUR\/USD<\/a>, oil, gold<\/a> and BTC are the prices around midday on 12 October. The actual entry prices are listed under the positions table.<\/li>\n <\/ul>\n\n \n
<\/span>Market Backdrop for the Next Two Weeks<\/span><\/h2>\n\n
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US stocks.<\/strong> The S&P 500 finished 9 October near 7,812 points, and SPY near 779 USD. The market enters the earnings season close to its highs. Strong company results can support further gains, while after a rise investors react sharply to weak reports and forecasts.<\/li>\n
Fed rate and bonds.<\/strong> The Fed rate stands at 3.75% to 4.00%, and the yield on 10-year US government bonds rose to 5.24% by the end of last week. The next Fed meeting is on 27 and 28 October, after the portfolio closes. Over the next ten sessions the main risk for stocks is a shift in rate expectations after the inflation<\/a> data.<\/li>\n
US dollar.<\/strong> On the morning of 12 October EUR\/USD traded near 1.1200. The high rate and demand for the dollar in uncertain markets support it. A sell of EUR\/USD can help the portfolio if high inflation pushes stocks lower and the dollar higher, and it can lose money if inflation comes in unexpectedly weak.<\/li>\n
Gold and oil.<\/strong> XAU\/USD traded near 4,185 USD per ounce: demand for a safe asset holds up, while high rates limit its rise. Brent<\/a> stood near 104 USD a barrel on the risk of supply disruptions. The XLE energy fund is in the portfolio with a small size, because easing tension can turn oil prices lower quickly.<\/li>\n <\/ul>\n\n \n
<\/span>How the AI Split the Budget<\/span><\/h2>\n\n
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How GPT-6 Sol split 15,673.01 USD of trades across four blocks<\/div>\n
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15,673 USD<\/div>
8 trades<\/div><\/div>\n

<\/span>How the AI Split the Budget<\/span><\/h2>\n\n \n How GPT-6 Sol split 15,673.01 USD of trades across four blocks<\/div>\n \n \n \n <\/circle>\n <\/circle>\n <\/circle>\n <\/circle>\n <\/circle>\n <\/svg>\n

<\/span>How the AI Split the Budget<\/span><\/h2>\n\n
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How GPT-6 Sol split 15,673.01 USD of trades across four blocks<\/div>\n
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15,673 USD<\/div>
8 trades<\/div><\/div>\n