Search Results for "pattern recognition bot"

...The system introduces a novel tokenization approach that converts continuous financial data into discrete tokens, enabling the model to process market behavior similarly to language. This allows Kronos to perform a variety of quantitative tasks such as forecasting, pattern recognition, and anomaly detection within financial datasets. It is optimized for the noisy and complex nature of market data, distinguishing it from general-purpose time-series models. The project includes multiple pre-trained model sizes and tools for fine-tuning, making it adaptable to different computational constraints and use cases.

LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools

...Rather than responding to canned commands, it will process the sentence spoken to it, and decide if it is actionable or a conversation. 1st stage is to finalize the speech recognition and bot personality. 2nd stage to incorporate a knowledge base using NELL , Wolfram Alpha, and Google API. This will allow the bot to answer any question. 3rd stage is the personal assistant. Calendar , email , finance, organization management. Media control, device & file management. The project will be kept modular. ...

Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.

...It will assist with analysis of the various financial markets and provide a visual medium to assist in making decisions. QTrader will be designed to integrate with MT4 and MT5. Some of the features planned for QTrader: - Artificial Neural Networks for pattern recognition - Find stock trades based on leading criteria for stock market trades - Automatic loading of stock data from live sources - Ability to connect to existing, local stock market data (Metastock, csv formats)

Stochastico is an implementation of stochastic discrimination for pattern recognition, predictive modeling and data mining applications.

A tool that helps develope the course of cognitive thought processes through software. This tool will look at the raw hex code of any input. It establishes pattern recognition over a mesured time incrament that in itself is at a different pace.

Instrumental is a financial trading and investigation platform designed to search out potentially lucrative trades using many different methods to narrow a search such as pattern recognition, volume surges, trading ranges and retracement.

Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from a set of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.