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### Overview
The objective of this project is to predict the volatility of Yahoo's stock prices using historical data. The dataset contains various features including opening price, closing price, ad…
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Context
The data were collected from the Taiwan Economic Journal for the years 1999 to 2009. Company bankruptcy was defined based on the business regulations of the Taiwan Stock Exchange.
Source…
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**Is your feature request related to a problem? Please describe.**
Dataset I'll use :- https://www.kaggle.com/datasets/prasad22/government-financial-statistics-dataset
Government Finance Statist…
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Hi,
I am quite interested in this project. When can I see the charts?
Regards
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- Abstract (2-3 lines)
As with many fields, applications of machine learning and computational methods are expanding to the financial world too. Modelling financial markets is a challenging area desp…
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## Objective:
Build a Python-based quantitative analysis tool that can be used for financial analysis and modeling. You can perform tasks like time series analysis, risk management, portfolio optimiz…
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## Background / motivation
5-min candles ("time bars") don't have _that_ much info. And 5min (or any time tick) is quite constraining.
We can construct more informative bars from raw trade data.…
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What is the accuracy achieved with the current model? It would be very interesting to delve deep and motivating factor if you have found some correlation with astrological data.
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## **Problem Statement**
Develop a machine learning model that can detect fraudulent credit card transactions. Use a dataset of labeled transactions to train the model and evaluate its accuracy.
#…
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# Overall
While there are existing retirement planning tools, the combination of Quarto and R Shiny for this purpose might be relatively novel. However, it's essential to ensure that your dashboard…