The problem Stock trend prediction solves

ML algorithms can help in assessing and managing risks associated with stock investments by providing more accurate predictions of potential losses. It can assist in optimizing investment portfolios by identifying the most promising stocks based on predicted performance and risk factors. It can analyze historical and real-time market data to identify trends and patterns, helping investors make informed decisions. ML-based systems can automate trading processes by executing buy or sell orders based on predefined criteria and predicted price movements. This models can reduce human bias in decision-making by objectively analyzing vast amounts of data and providing data-driven insights. ML algorithms can detect anomalies or irregularities in stock price movements, helping investors identify potential opportunities or risks. These models can optimize trading strategies by continuously learning from market data and adjusting strategies accordingly to maximize returns.

Challenges we ran into

In initial stage we faced lot of errors in graph plotting. we used colab ai and ducumentation help to resolve it.
We also take help form youtube tutorial to make keras model.