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Description
We engage in pioneering research on artificial intelligence to attain significant advantages in financial investment, shedding light on the market through innovative neuro-prediction techniques. Our approach integrates advanced deep reinforcement learning algorithms and graph-based learning with artificial neural networks to effectively model and forecast time series data. At Neuri, we focus on generating synthetic data that accurately reflects global financial markets, subjecting it to intricate simulations of trading behaviors. We are optimistic about the potential of quantum optimization to enhance our simulations beyond the capabilities of classical supercomputing technologies. Given that financial markets are constantly changing, we develop AI algorithms that adapt and learn in real-time, allowing us to discover relationships between various financial assets, classes, and markets. The intersection of neuroscience-inspired models, quantum algorithms, and machine learning in systematic trading remains a largely untapped area, presenting an exciting opportunity for future exploration and development. By pushing the boundaries of current methodologies, we aim to redefine how trading strategies are formulated and executed in this ever-evolving landscape.
Description
Automated variable selection helps to pinpoint essential variables along with their interactions, while effective visualization techniques enhance understanding of data and model behaviors. Additionally, the execution of batch commands complements SQL queries and dataset exploration. Pre-processing and post-processing steps are crucial for variable creation and output constraints, among other tasks. Models can be readily deployed through ActiveX (i.e., OCX) controls or DLLs, making implementation straightforward. The suite of advanced modeling algorithms encompasses regression, neural networks, self-organizing maps, dynamic clustering, decision trees, fuzzy logic, and genetic algorithms. Predictive Dynamix offers robust computational intelligence software that serves a wide array of applications, including forecasting, predictive modeling, pattern recognition, classification, and optimization, catering to various industries. Leveraging modern neural network technologies, these solutions provide powerful mechanisms for tackling complex challenges in forecasting and pattern recognition. Multi-layer perceptron neural networks are particularly noteworthy for their architecture, enabling multiple coefficients for each input variable, thus enhancing the model's adaptability and accuracy. This versatility in neural network design is crucial for addressing the diverse needs of contemporary data analysis challenges.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Neuri
Founded
2018
Country
Singapore
Website
www.neuri.ai/
Vendor Details
Company Name
Predictive Dynamix
Founded
1999
Website
predictivedynamix.com/dmsuite.htm
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization