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2answers
113 views

Which database to choose for storing and aggregating finance data?

I'm planing to store stock market data in realtime and aggregate ticks for draw volume based cluster graph. Something like this: Every tick (or second) data will be grouped by period (1,5,10 ...
1
vote
1answer
78 views

Memory-efficient clustering algorithm for large time-series datasets

I have a simulation task at hand with ~1e6 time series to be clustered on the basis of statistical measures every few days in the simulation. Most clustering methods I'm aware of require an affinity ...
4
votes
0answers
340 views

Rate Distortion Minimization in a Python Clustering Algorithm

I'm attempting to solve for $\hat{k}$ clusters, such that the rate distortion is minimized, as described here, however, the answers that I am getting from my algorithm are not following the "Jump" ...
6
votes
4answers
928 views

How to cluster ETFs to reduce cardinality for portfolio selection

I'm looking to run portfolio optimizations using various optimization goals - e.g. minimum variance, max diversification etc. My challenge is if I want to do this on ETF's which ones do I pick to run ...
2
votes
1answer
215 views

How to group mutual funds by volatility?

I want to group Mutual Funds by their volatility. Ideally, I would like to end up with the mutual funds beings attached to different groups: High volatility Medium volatility Low Volatility My ...
6
votes
2answers
888 views

How do you synthesize a probability density function (pdf) from equally weighted price data?

What I'm working with: I have a collection of prices that has very few to no repeating values (depending on the look back period) ie each price value is unique, some prices are clustered and some can ...