NIFTY ALL STOCK Dataset

Content

This dataset is a playground for technical analysis. It is said that 30% of traffic on stocks is already generated by machines, can trading be fully automated? If not, there is still a lot to learn from historical data. .

Context

https://www.kaggle.com/akshaypawar7/nifty-50-interactive-dashboard
Dataset consists of following files:

• 500 files of equity stock historical candle data

• 1_bhavcopy.csv =>
  Daily prices of all NSE equity stocks . Most of data spans from 2020 to the end today, for companies new on stock market date range is shorter.

• 1_meta.csv =>
  General description of each company with division on index and industry,
  as shown in below chart.

Inspiration

Regardless of your investment strategy, fluctuations are expected in the financial market. Despite this variance, professional investors try to estimate their overall returns. Risks and returns differ based on investment types and other factors, which impact stability and volatility. To attempt to predict returns, there are many computer-based algorithms and models for financial market trading. Yet, with new techniques and approaches, data science could improve quantitative researchers' ability to forecast an investment's return.