Bringing financial analysis to the tidyverse
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Updated
May 1, 2024 - R
Bringing financial analysis to the tidyverse
Analysis and visualisation of the cryptocurrency market
R Shiny app to compare the relative performance of cryptos and equities.
We use advanced machine learning techniques to build models that correlate planet cycles and aspects (cosmic energy) with markets price action to forecast the daily trend direction. Join our discussions at Telegram:
An R Package for Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies
iexcloud api wrapper
Companion to publication "Understanding Jumps in High Frequency Digital Asset Markets". Contains scalable implementations of Lee / Mykland (2012), Ait-Sahalia / Jacod (2012) and Ait-Sahalia / Jacod / Li (2012) Jump tests for noisy high frequency data
Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data
Scalable implementation of Lee / Mykland (2012), Ait-Sahalia / Jacod (2012) and Ait-Sahalia / Jacod / Li (2012) Jump tests for noisy high frequency data
This is a shiny application displaying key indices, stocks, cryptocurrencies and much more. The data is from Yahoo Finance.
EDA for Prosper Loan data
Financial Analytics and Time Series
An R Package for the Financial Modeling Prep Financial Data API
Exercises and material of Hyndman & Athanasopoulos's book "Forecasting: Principles and Practice (3rd Ed.)"
[R] Statistical analysis of financial data conducted in R
Source codes for my M.Sc programme in Financial Engineering
Based on available data from bank and parameters to identify the variables that influence the most, predict the bankruptcy of the given financial model
2018 [R] Data analysis: What happened during the 2007-09 financial crisis?
R Package to perform behavioral analysis on financial data.
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