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Stock Market
Human-driven data is essential for stock analysts to make informed investment decisions and provide recommendations to investors. While technology and automation can aid in the analysis of data, human analysts are still necessary to interpret the data and provide valuable insights to investors.
Benchmarking is an important process for stock analysts to compare their forecasting performance with their peers and with industry standards. It is increasing becoming important to compare oranges with oranges and yet understand what an apple can give you. Stok analyst performance has to be related to the what methodology they adopt to predict their favorite stock and also how their selection were compared to the actual stock performance. By benchmarking their performance, stock analysts can identify their strengths and weaknesses and make improvements to their forecasting methods. This can lead to more accurate predictions and better investment decisions.
Analyst Performance Tracking System
Our solution allows to track stock analyst performance based on his subjective opinion and mark the analyst performance with actual stock price movements. We also track the analyst prediction based on the style of analysis and the their favorite stocks.
Ranking and Indexing of Analyst
Our real time ranking and indexing technologies allow us to rank the analyst based on their real time performance (prediction versus actual). So that users can follow the best performing analyst and ensure their position on their favorite stock is hand in hand with market analyst and predictors.
Favorite Stock Forecasting
We understand your favorite stock for you and based of different analysis, we let you best analyst prediction for your favorite stocks. So you can understand what they feel about them and where they foresee them.
Performance Variation Analysis
We capture time series trend of performance for your favorite stock analyst and let you know how they have performed and track the variation of their performance. We let the lagging indicators becomes the guide for leading indicators.
Stock Analyst Prediction style
Stock analyst uses several analysis techniques including fundamental, technical, quantitative, value, growth, and income investing. Analysts use a combination of these methods to evaluate the financial health of companies, identify trends, and make investment decisions. Each method has its strengths and weaknesses. Our solution benchmark analyst based on their analysis techniques for your favorite stocks
The prediction and actual stock analyst performance are becoming increasingly data-driven as advancements in technology and data analytics are enabling analysts to collect, process, and analyze vast amounts of financial data. This trend is expected to continue in the future, with the use of artificial intelligence, machine learning, and natural language processing becoming more prevalent in stock analysis.