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Splitting training and test set on a time series problem

I have an OHLCV dataset that starts on 01-01-2000 and ends on 31-12-2003 and I want to evaluate a model, say an SVM regressor. What is the correct routine to evaluate the performance of the model from ...
tir's user avatar
  • 11
0 votes
1 answer
38 views

Efficient anomaly detection in unordered market data - is it possible?

I'm a little bit stuck on how to efficiently model anomaly detection for the following problem, probably because of my lack of experience with time series modelling: I retrieve market data sorted by ...
Skyence's user avatar
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0 answers
42 views

Measuring effectiveness of debt reminders

I am working for a bank that reminds its customers that they owe money back periodically starting from 3 days before their credit deadline, on the day of the deadline, 3 days after the deadline, a ...
Nemo_the_scientist's user avatar
1 vote
0 answers
72 views

Workflow for stock prediction in machine learning

I'm trying to find the best workflow for a stock prediction problem. My idea goes as follows : I will use a classfication and a regression at the same time Classification (-1 ; 0 ; 1) Regression (...
minattosama's user avatar
1 vote
1 answer
321 views

Persistence and stationarity together

I am trying to analyse a time series. I want to get only quantitative results (so, I'm excluding things like "looking at this plot we can note..." or "as you can see in the chart ...&...
user96624's user avatar
  • 179
0 votes
1 answer
138 views

"Up or down but not sideways" bimodal time series prediction - what is the best way to model it?

Say I have a time series (e.g. bitcoin price). I want to predict tomorrow's price, specifically tomorrow's % change in price from today. Let's say this is gaussian distributed, with the mean at 0%. If ...
Cortexelus's user avatar
0 votes
2 answers
222 views

Should I concat multiple stock timeseries datasets into one?

I have several timeseries datasets of stock data, with fundamental indicators. I would like to build a model that selects stocks for buy and hold. I understand that to perform this task I have two ...
Ubler's user avatar
  • 1
1 vote
0 answers
20 views

Correcting high AR(1) coefficients in dynamic Gordon model

I have just finished my thesis on a heterogeneous dividend expectations model applied to the COVID-19 crisis! However after receiving some feedback there is one last issue I want to resolve. I'm using ...
Niek de Meijier's user avatar
2 votes
0 answers
35 views

Financial Time Series and Machine Learning question

I am working on a Machine Learning project applied to a financial time series. Initially, I grabbed features (open, high, low, close) and implemented a Random Forest. One of the subsequent tasks ...
Bobozilla's user avatar
2 votes
0 answers
501 views

Will flattening multivariate time series data before clustering make the results meaningless?

I have a large number of financial time series that I wish to do cluster analysis on. Each time series has the same length and spans multiple years of daily data (returns, volatility, etc.). As part ...
Ali Mustafa's user avatar
1 vote
2 answers
78 views

Understandable and explainable machine learning model

I want to find formula for best financial portfolio. Inputs: Historical fundamental data for last 15 years. For 3000 companies for every quatal we have things like ...
Alex Craft's user avatar
0 votes
1 answer
35 views

May I use the same data in several time series intervals?

I am playing with RNNs / LTSMs for a classification task in predicting financial data. I have a time-series going many years back, and are planning to divide it into a number of shorter time-...
Oeyvind's user avatar
  • 115
2 votes
2 answers
2k views

Binary Classification Probabilities

I'm using keras in R to predict financial time series. I guess that ANN converges. But when I do predictions I can see that probabilities don't sum up to 1 I'm using ...
Andrew's user avatar
  • 85
1 vote
0 answers
258 views

Any tool that can help on manually label a time series data please?

i am working with a 10 years weekly financial time series data set, which has the standard format date open high low close volume. i would like to manually label (classify) the data set with label/...
Victor's user avatar
  • 141
1 vote
1 answer
346 views

Best way to store financial data together with news

My question is if there is a DBMS that allows storing financial data (i.e. timestamp+value) together with small text fragments. These small fragments will not be very long, but it might help an ...
Jorgemar's user avatar
  • 241