Predictive A.I. provides answers, not just data!
Predictive A.I. empowers individual investors to make better trading decisions by providing machine learning based objective stock market analysis and forecast. It tells you when to buy, what to buy and when to sell.

We do the work. You reap the profits.

In this project, artificial neural networks* examine all scholarly research reports on stock predictions in the literature, determine the most appropriate method for the stock being studied, and publish a new stock report with the forecast and references.

*A neural network is a type of machine learning model inspired by the structure and function of the human brain. It is composed of layers of interconnected "neurons," which process and transmit information.Neural networks are trained using large datasets (such as stock data, financial reports, stock market news...) and an optimization algorithm, which adjusts the weights of the network to minimize the error between the predicted output and the desired output. The training process involves iteratively adjusting the weights of the network to reduce this error, and it can be computationally intensive. Once the neural network is trained, it is used to make stock predictions.

For further technical information as per how our model work we invite you to visit the articles below:
https://www.ademcetinkaya.com/p/how-does-rating-model-work.html

Predictive A.I. mobile app lets you:
►See the machine learning based stock market analysis, forecast and Predictive A.I. Rank which indicates potential outperformance based on earning estimate revisions and surprises. It tells you when to buy, what to buy and when to sell.
►View the current stock market risk, operational risk and outlook.
►Get daily signal notifications for stock market.
►Get daily market risk notifications.
►View prediction confidence score.

► Deep Stock Analysis
We consider the full spectrum of human trading interaction (varying from data based analysis to stock market signals, from trend actions to speculative ones and many more) and adapt them to the machine learning model with support of engineers to mimic and future-reflect everyday trading experiences.

► Financial Analysis
Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.

► Analysis of Financial Reports & Stock News
Recurrent neural networks (RNNs) are a type of neural network that are well-suited to processing sequential data, such as stock news, financial reports and social media. RNNs can learn to understand the relationships between words and their context, and they are commonly used in natural language processing tasks.

► Future Stock Performance
The stock market prediction is modeled based on two principal analyses called technical and fundamental. In the technical analysis approach, the regression machine learning (ML) algorithms are employed to predict the stock price trend. In contrast, in the fundamental analysis, the classification ML algorithms are applied to classify the public sentiment based on stock news, financial reports and social media.

Stock Coverage:
New York Stock Exchange
Nasdaq
Shanghai Stock Exchange
Euronext
Japan Exchange Group
Shenzhen Stock Exchange
Hong Kong Stock Exchange
Bombay Stock Exchange
National Stock Exchange
Toronto Stock Exchange
London Stock Exchange
Saudi Stock Exchange (Tadawul)
Korea Exchange
Deutsche Börse AG
SIX Swiss Exchange
Taiwan Stock Exchange
Australian Securities Exchange
Johannesburg Stock Exchange
Tehran Stock Exchange
Nasdaq Nordic and Baltic Exchanges


Predictive A.I. is the first official Mobile App to compliment your AC Investment Research experience and we plan on introducing many more new features in the near future.