Python : NIFTY Data Extraction & Analysis

Performed Visualization & Analysis with NIFTY 50 Daily Data (2008 - 2023) .

Features

• Brief Overall Analysis
• Multiple Years Data Fetching with nsepy API & Storing Separate .csv
• Combining & Creating single Master Data from multiple Years Daily Data
• Analysing Volume, High / Low , Open / Close over a Yearly & Monthly timeframe.
• Candle Sticks Charts (Thorughout, Yearly, Monthly)
• Gap Analysis
• Movement from Open Analysis
• Exponential Moving Average Analysis
• Heikin Ashi Charts (Thorughout, Yearly, Monthly)
• Line plots (Thorughout, Yearly, Monthly)

Authors

• @Rithik Tripathi

🚀 About Me

I'm a passionate Full Stack Data Sciences Practitioner from India.

Feedback

If you have any feedback, please reach out to me at rithik.tripathi7@gmail.com

Quick Glimpse:

Data Fetching

Combiing all files & generating Master Dataframe

2022 Daily High & Low Analysis

2022 Daily Open & Close Analysis

2022 Yearly Candle Stick Plot

2022 Monthly Candle Stick Plot (october 2022)

2022 EMA (Exponential Moving Average) Analysis

• Note: All these plots supports Pin and Zoom to particular timeframe out of the complete timeline .

Other Analysis like Gap Analysis, Heikin aashi, Movement from open could be seen in Attached notebook.