STOCK MARKET PRICE PREDICTOR
ABOUT STOCK PRICE PREDICTOR
Innovative Way to predict prices
Stock price forecasting is a popular and important topic in financial and academic studies. A stock market is an untidy place for predicting since there are no significant rules to estimate or predict the price of share in the share market. Many methods like technical analysis, fundamental analysis, time series analysis, and statistical analysis, etc. are all used to attempt to predict the price in the share market but none of these methods are proved as a consistently acceptable prediction tool. In this project, we are using machine learning algorithms to predict stock market prices. With the help of historical data analysis. Although, the stock market can never be predicted, due to its vague domain, this project aims at applying machine learning in forecasting the stock prices.
PROPOSED SYSTEM
In this proposed system, we focus on predicting the stock values using machine learning algorithms like Regression and LSTM models. Regression and LSTM models are engaged for this conjecture separately. Regression involves minimizing error and LSTM contributes to remembering the data and results for the long run. Finally, the graphs for the fluctuation of prices with the dates (in the case of the Regression-based model) and between actual and predicted prices (for the LSTM based model) are plotted.
EXISTING SYSTEM
The existing system fails when there are rare outcomes or predictors, as the algorithm is based on bootstrap sampling. The previous results indicate that the stock price is unpredictable when the traditional classifier is used. The existence system reported highly predictive values, by selecting an appropriate time period for their experiment to obtain highly predictive scores. The existing system does not perform well when there is a change in the operating environment. It doeS not focus on external events in the environment, like news events or social media. It exploits only one data source, thus highly biased. The existing system needs some form of input interpretation, thus need of scaling.
RISK WARNING
For Your Information
Trading contains substantial risk and is not for every investor. Risk capital is money that can be lost without jeopardizing one's financial security or lifestyle. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.
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