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. 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

Causally predictive factors identified as the most influential for the global markets including equities, currencies, bonds, and more, at the time point 6m away:

SPDR Dow Jones Industrial Average ETF

2024-12-11T15:10:54.817154 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

iShares 7-10 Year Treasury Bond ETF

2024-12-11T15:10:54.838223 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

Marriott International Class A Common Stock

2024-12-11T15:10:54.861287 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

NextEra Energy

2024-12-11T15:10:54.880844 image/svg+xml Matplotlib v3.7.3, https://matplotlib.org/

Occidental Petroleum

2024-12-11T15:10:54.901219 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

Read All >