Trading Chatbot

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  Stochastic function of the derivative

Inspiration

Effective investment of financial assets in prospective firms: 1. Purchase of assets of promising companies with high profitability for dividends.

1. Purchase of assets of promising companies with high profitability for resale.
2. Identification of financial bubbles. ## What it does Soft on the basis of the author's innovative-market model. Our solution is a chatbot that analyzes the current activities of a selected company and gives recommendations on how to invest in this company. This innovative - market economy model describes and predicts the dynamics of sales and profits of companies based on the accumulation of information in the economic system. The simulation is performed in accordance with the algorithm of the IMM model in accordance with the statistical law on random walk (the problem of the player's ruin) for the given number of transactions. This takes into account non-economic preferences and innovations. ## How we built it We have created a functioning chat bot based on business intelligence using an investment-market mathematical model of our own using Python and MatLab. ## Challenges we ran into Writing chat bot code based on business intelligence using the investment market model. ## Accomplishments that we're proud of We have created a working model of a chat bot using business intelligence based on the investment market model. ## What we learned We have developed the technology for writing bots using BI. ## What's next for Trading Chatbot We will replicate this chat bot and improve methods for building an explainable BI.

Built With

• matlab
• python