Data Science
Build a model to predict stock market performance using LSTM
What is LSTM? And, how to utilize it to predict profit & loss of stock market?
Certified by
Role
Data Scientist
Industry
Finance
No. of Subscribers
54
Level
Advanced
Time Commitment
Submit First Draft in 30 days
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
Chitmonks, a Hyderabad based startup is digitising the versatile Chit fund to make it more transparent, trustworthy and efficient. Chit fund is a rotating saving scheme that has been a part of India’s financial system for more than a century now. However, this massive industry is largely informal. Chitmonks are changing that for the better by bringing technology into the equation. The company was started in 2016 with a vision to build a financially inclusive Bharat, one state at a time. They are the proud owners of the largest network of savings and borrowings chain powered by Blockchain in India. They understand that trust is crucial to any savings scheme and put it at the core of everything they build.
Explore
the following work techniques
Applications of Data Science in the Stock Market
Predictions using RNNs
Bridging the gap
Stock market as an investment option is fast gaining momentum among millennials and gen z. Higher returns, easy liquidation, protection against liquidation and transparency are just some of the benefits it offers. However, it is far riskier than the conventional forms of investments. Good news is, stock prices can be predicted based on their past performance. Building machine learning models that predict future stock prices based on historical data adds significant value to investors.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Model formulation
Expected output
By the end of this menternship, you will build a machine learning model that predicts future stock prices with a high degree of accuracy.
Create
the following deliverables
Data preparation for the given dataset
A prediction Model using LSTM for predicting stock prices based on historical data
What you’ll need before starting
Python, LSTM
