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18-Month Review of Prediction Performance
We use the short horizon “2-day ahead”, and the net predictions over the past 18 months, to perform synthetic trading backtest. For how to work out the synthetic positions for each day, refer to the white paper “Backtest” section.
The model trainings from daily data
assume zero synthetic trading cost
The active strategy synthetic trading position size is an average of the most recent net majority votes of models, which can vary between -1 share and 1 share, inclusively; the buy-and-hold strategy always holds 1 share of the instrument
Consistent with the “1-Year Review of Prediction Performance”, we found that under the above settings,
US Nasdaq 100, S&P 500 indices were hard for the active strategy to beat the buy-and-hold strategy
Gold was hard for the active strategy to beat the buy-and-hold strategy
Bitcoin was hard for the active strategy to beat the buy-and-hold strategy
Below are the charts of synthetic trading profit and loss for both the active and buy-and-hold strategies, and synthetic trading position sizes for the active strategy.
Nasdaq 100 ETF QQQ
S&P 500 ETF SPY
Dow Jones Industrial Average ETF DIA
Gold ETF GLD
Silver ETF SLV