Business Challenges:
Stock prices are heavily influenced by economic events, company/Industry performance and market sentiments.
Sentiments on Twitter and Social Paltform drive the Trading behavior. Negative the Sentiments, Traders short the Trade. Positve
the Sentiments on earning forecast or Market expansion, Traders are Long on Positions. Financial Institution lacks the capability
to determine in Real-time Sentiments on Thousand of Trades.
Solution:
Ezapp has delivered Sentiment Analyzer platform to allow Trades
to make Trading decisions. Tool comes with Heat Map that shows Trades that are likely to be impacted on pricing Volatility Vs Trades
which are likely to Yield higher Returns. Ezapp Sentiment Analyzer tool allows trades to Optimize the Holdings Positions and Maximize Profits
through Sentiment Analysis. We use Deep learning models using Tensorflow to determine the indicative information on Stocks for Buys/Sells/Hold Strategies.
Results :
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Sentiment Analysis allowed Firm to evaluate Trading signals and perform Trading based on the AI Recommender system.
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Increased the Revenue Sales leveraging Re-Inforcement Learning models.
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Optimized the Trade Portfolios dynamically based on the Market Indicators.
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Increased the Revenue and Optimized the Stop Loss using Deep Learning Models using Tensorflow.
- Automated the Queries for Trading by delivering the AI BoT Solution.