2. INTRODUCTION
• A stock market is a platform for trading of a company's stocks and
derivatives at an agreed price. Supply and demand of shares drive
the stock market.
• Ability to predict direction of stock/index price accurately is crucial
for market dealers or investors to maximize their profits.
• Should I take a long position? Should I take a short position?
What is going to be the price tomorrow, next week or next year?
3. RELATED WORK
• Many people these days are looking forward to investing in the share market. For those with
little expertise in this sector, keeping a careful eye on the share market could be a challenging
endeavour.
• As we there are many software which are now aquires a Machine Learning Concept to
Predict the future price of the stock. Such as GROW ,ANGLEONE ,MONEYCONTROL , but
they needs a Subscription or paid by a user to predict a stock price .
• On basis of that cons we Make a Dash App to Forecast a stock Price without any
Subscription or Paid Membership.
4. OBJECTIVES
• To predict the stock prices in order to make more informed and
accurate investment decisions.
• A stock price prediction system that integrates mathematical
functions, machine learning, and other external factors for the
purpose of achieving better stock prediction accuracy and issuing
profitable trades
5. METHODOLOGY
• We saw that the new user was afraid to invest in the share market because he did
not have the knowledge and did not have any tool with the help of which he could
do this work.
• So then we created a tool with the help of machine learning , deep learning,
which can tell in a very precise way where the market will move by analyzing
things
13. CONCLUSION
• The stock market plays a remarkable role in our daily lives. It is a significant factor in a
country's GDP growth.
• It is possible to predict stock market with more accuracy and efficiency using machine
learning techniques.