Search Results for "pattern"

...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.

...The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.

Beta Framework with a bespoke Fintech design pattern for Investment Banks and Fund Managers provides structure and real-time components for pricing, trade processing, P&L and risk applications. Investment Banks and Fund Managers have numerous applications, our objective is to normalize these applications providing a real-time Technical Debt free, highly Scalable, Agile framework with better Project Silos.

This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.

Technical analysis library with indicators like ADX, MACD, RSI, Stochastic and TRIX, plus candlestick pattern recognition. Docs: https://ta-lib.org Available natively in C/C++, Java, Rust and C# with wrappers for python, R and many other ecosystems. MOVED TO GITHUB: https://github.com/TA-Lib/ta-lib . No further support is provided on SourceForge. Release 0.4.0 is very outdated, please check github for the most recent release.

...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)

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.