SPDR S&P 500 ETF

6m (24w) ahead

Top Predictive Factors

Causally predictive factors for the value of the selected instrument at the time point 6m (24w) away.

Walmart

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Materials Sector SPDR ETF

2025-11-17T18:30:43.439943 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

Technology Sector SPDR ETF

2025-11-17T18:30:43.459364 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

Abbott Laboratories

2025-11-17T18:30:43.478981 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

as of

Our Probabilistic Prediction

We train a group of models, each predicting a set of possible outcomes for the time point 6m (24w) away. Below are all predictions as of .

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Goodness of Probabilistic Prediction

For any date, the prediction plotted in graded colored bars are calculated 6m (24w) prior to that date.

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On each date of the above sample, we read out the realised probability level then test the hypothesis that they follow the uniform distribution between 0 and 1, when the prediction is generally done well (whitepaper). The user is free to use any significance level e.g. 0.001, 0.01, 0.05 for the test.

SPDR S&P 500 ETF

🟢 p-value: 0.072 > 0.001

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Trades

Next-Day Position

Each model casts a vote "up", "down" or "undecided" on the direction of change from the calculation time to the time point 6m (24w) away. The signal is the net vote (percentage of "up" votes minus percentage of "down" votes). As each signal output over the recent 6m (24w) concerns the next day, the next-day position is the average of the signals calculated over the last 6m (24w).

% Up % Down % Un­de­cided
SPDR S&P 500 ETF 76% 0% 24%

with respect to the time point respectively,

Time Value
SPDR S&P 500 ETF Fri 2025-11-14 UTC 671.93

Performance of Past Trades

The Sharpe ratio is calculated on returns measured as the difference between values rather than in percentage, assuming zero trading cost.

SPDR S&P 500 ETF
Active Buy-and-Hold
Sharpe ratio
(the higher the better)
1.09 1.15
Solvency II Value-at-Risk 99.5%
(the lower the better)
- 3.14
2025-11-17T18:30:45.206483 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/