Time Series Terminal

Time Series Terminal is a companion tool and computational engine for causal predictors that predict the values of stocks, assets and markets at particular future time point. Refer to the White Paper for more details.

Usage

Enter apple or AAPL to search

Use ; to split multiple search items

Leave blank and press "Run" to go Home

Try out some examples:

S&P 500
Nvidia
US three equity indices
US 20+ Year Bonds ETF

Global Markets

Your forecasting period: 6m

Top Predictive Factors

The models identify what we call the causally predictive factors: a small set of assets judged to be the most important driving forces behind your selected item's forecast. Here is what we believe are pushing global markets.

SPDR EURO STOXX 50 ETF

2024-10-07T13:45:09.468899 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

SPDR S&P Dividend ETF

2024-10-07T13:45:09.492057 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

iShares 7-10 Year Treasury Bond ETF

2024-10-07T13:45:09.512974 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

iShares TIPS Bond ETF

2024-10-07T13:45:09.533886 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

Baidu, Inc. ADS

2024-10-07T13:45:09.553983 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

as of

Newsletter

24-month review of prediction performance

2024 September: The risk may be in the stock valuations: semiconductor trending down, healthcare trending up predictive of S&P 500

NVDA August 2024 drop and NVDA vs Gold

2024 August: stocks producing daily essentials (consumer/energy), biotechnology, industrial top causal predictors for S&P 500; DuPont to split into three companies

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