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Titanium Trajectory

Authors: Wei, Edward; Ambriz, Adrian;

Titanium Trajectory

Abstract

We are going to explore predictive indicators for various metals with a focus on titanium. This would involve using financial metrics like daily moving average (DMA), Pearson correlation coefficient, and time-shifted data (ex. Does past 5 days of copper prices help us predict next day’s silver- is some metal’s historical price a leading indicator for another metal?). Metal prices are also related to energy prices. We will add other pricing data as available and relevant based on our research.

Keywords

Titanium, Machine Learning, Community finance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average