Sentiment-Incorporated Stock Market Prediction Model
Budget: ₹600 – ₹1,500 INR
I am in need of a stock market prediction model equipped with sentiment analysis features. This model is expected to serve four main purposes:
- Forecast future stock prices
- Identify impending market trends
- Measure investor sentiment
- Provide buy/sell and hold recommendations for shares
Your expertise will be challenged in integrating news sentiment into the predictive model. Proficiency in utilizing cutting-edge AI and data mining technologies to derive insights from news articles and other reliable sources is desired.
The ideal freelancer would have proven experience in financial analysis, sentiment analysis, big data, machine learning, and AI. An understanding of stock market dynamics and the impact of news sentiment on stock movements will be highly beneficial.
Your ultimate goal is to develop a working robust prediction model that provides early warnings of market fluctuations, helping take preemptive measures. The model needs to give buy/sell and hold suggestions on a daily/weekly manner in order to maximise the portfolio returns.
The project will be tested and evaluated on old data i.e 20 year daily stock market data for nifty200 companies. I can provide the past 20 year daily share price data for the companies to be used.
Certain market fundamentals can be used to assist in predicting the market. Most fundamental indicators can be found in the talib python library.
- Forecast future stock prices
- Identify impending market trends
- Measure investor sentiment
- Provide buy/sell and hold recommendations for shares
Your expertise will be challenged in integrating news sentiment into the predictive model. Proficiency in utilizing cutting-edge AI and data mining technologies to derive insights from news articles and other reliable sources is desired.
The ideal freelancer would have proven experience in financial analysis, sentiment analysis, big data, machine learning, and AI. An understanding of stock market dynamics and the impact of news sentiment on stock movements will be highly beneficial.
Your ultimate goal is to develop a working robust prediction model that provides early warnings of market fluctuations, helping take preemptive measures. The model needs to give buy/sell and hold suggestions on a daily/weekly manner in order to maximise the portfolio returns.
The project will be tested and evaluated on old data i.e 20 year daily stock market data for nifty200 companies. I can provide the past 20 year daily share price data for the companies to be used.
Certain market fundamentals can be used to assist in predicting the market. Most fundamental indicators can be found in the talib python library.