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

Menterns at work

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

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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

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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

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What you’ll need before starting

Python, LSTM

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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?

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