Questions tagged [finance]

Field concerned with the allocation (investment) of assets and liabilities over space and time, often under conditions of risk or uncertainty.

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35 views

Splitting training and test set with financial data

I am using trees algorithms (decision tree, random forest and XGBoost) to forecast the sign of the returns in the stock market (classification). I am using this article as a reference: http://...
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can macd be calculated for values other than 12 and 26?

I am working on time-series classification problem using CNN. The dataset used is financial stock market data(like yahoo finance). I am using some technical indicators calculated using raw values high,...
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1answer
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How do I find all the drastic changes in the stock and fetch news for those days of the stock?

I am analyzing MindTree company's stocks as an internship project using python pandas and have been given the task to find all the drastic changes by looking at the produced plot for the stock and ...
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35 views

Stock price forecasting example with LSTM or GRU that beats a simple persistence forecast

There are lots of examples in the internet about how to do predict time series. However, they all suffer from at least one of the following problems: tiny data set (like the "shampoo sales" with a ...
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1answer
18 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-...
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27 views

Predicting stock market index values using individual stocks

I'm trying to predict the market trend (i.e. predict the value of a stock market index, e.g. S&P 500) using the stocks in the index. My data-set is as follows: ...
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1answer
48 views

LSTM for financial data

I'm using LSTM to predict financial data. As input data I use log returns and I want to predict the next day market movement. Do I need to retrain the ANN every day in order to keep time consistency ...
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2answers
103 views

How is data science applied in investment banking?

What do data scientists do at investment banks? What tools are they using? What kind of analysis are they doing? Why are they doing it? Etc.
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20 views

Setting up fuzzy rules for more multiple input variables

I have 6 input variables with each having 4 possible states. There are only six rules which give different states of output. Any combination of inputs except that of the first six rules results in a ...
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1answer
590 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 ...
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1answer
355 views

Predict the loss amount for insurance policies using the historical trends and features?

Anyone who has worked with insurance policy datasets, please guide me to an appropriate dataset for this problem . Also, what is this 'loss amount' and what model will be appropriate for it?
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1answer
583 views

Can LSTM Predict The Next Few Days Of Stock Price?

I have searched many websites and forums describing stock price forecast using LSTM. They shared two things in common: one is that all the sources make predictions with same set of data and none of ...
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1answer
29 views

Structure the dataset for financial machine learning

I am trying to construct a dataset to apply MLP in forecasting financial returns. The main idea is that I want to predict future equity returns (1 month ahead, but the horizon can vary, just to give ...
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45 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/...
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Local U.S. City Government Expenditures APIs?

I'm currently working on a project that will compile the various expenditures of local city governments (Health, Transportation, etc), what initiatives are present in those major cities, and more ...
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49 views

Are there any APIs for financial pattern recognition? [closed]

I have seen this question on the site, however it is asking for the techniques that can be used for implementation. The thing I want to know is that, on the other hand, if are there any APIs or ...
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1answer
55 views

Preprocess list data

I got question about preparation data for my ML algorithm. Raw data has format similar to: ...
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2answers
1k views

how many rows have values from the same columns pandas

I have a df with many columns that represent the market cap of companies that compose an index. The index of the dataframe is dates. Before the company enters the index or after it leaves it, the ...
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1answer
54 views

Constructing graph of crypto financial instruments 2016-2017

Set of financial instruments represent the set of vertices of the graph. For any pair of vertices $i$ and $j$, an edge connecting them is added to the graph if the corresponding correlation ...
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1answer
246 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 ...
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1answer
693 views

Reinforcement Learning algorithm for Optimized Trade Execution

My question deals with the algorithm described in the paper: Reinforcement Learning for Optimized Trade Execution This paper uses reinforcement learning technique to deal with the problem of ...
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0answers
25 views

Find a Default Assumption for a series of Forecasted Loans

Your help would be appreciated! I'm trying to calculate the net returns of a series loans, at different stages of completion. I've categorised the loans into open loans (repaying & late loans) ...
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1answer
113 views

Understanding portfolio-level risk models

I have a tremendous amount of experience training supervised machine learning models. However, I recently became a data scientist at a small financial services company, and I've been asked to build ...
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2answers
646 views

Deep Learning Project to Predict Stock Prices

So I have a background in computer programming and a little in machine learning in general. What I would like to do is create a fun project in A.I. with deep learning. I have a dataset that has a ...
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1answer
36 views

Recommendations for algorithm

I have a very large dataset consisting of approximately 15,000 rows of survey data. The surveys are quantitative summaries of interviews with investors regarding their rankings of financial asset ...
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1answer
1k views

Difference between business and financial and data analyst

Can anyone please tell me whats the difference between Business analyst Financial analyst Data analyst And what should one need to learn in order to achieve either of these profile.
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1answer
217 views

Finding levels in an array of floats

Before anybody asks please let me confirm this question is related to trading technical analysis. The problem is quite simple, but I lack the scientific background required to solve it. Data comes ...
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1answer
412 views

Resources for data science applications in finance/banking [closed]

What are good resources for data science applications in finance/banking ? I want to know about the following: Trends in finance/banking area What creative companies do in finance/banking area ...
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1answer
1k views

Application of Control Theory in Data Science [closed]

I have recently completed an MSc in Control Systems from a top university. It seems to me that control theory must have an application within data science. I would like to apply my degree within this ...
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2answers
326 views

Use of Nash-Equilibrium in big data environments

Has there been a successful implementation of Nash-Equilibrium in big data problems like suggesting a best buy in a stock market, in traffic monitoring systems or crowd control systems. All the above ...
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3k views

Machine Learning on financial big data [closed]

Disclaimer: although I know some things about big data and am currently learning some other things about machine learning, the specific area that I wish to study is vague, or at least appears vague to ...