Search Results for "frequency"

...It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. Resource summary: network-wide resource summary, practical cases, paper interpretation, and code implementation.

...Solana & TON Node Routing: An asynchronous broker client optimized for private RPC nodes, tailored for high-frequency solana trading bot execution loops and automated TON/USDT spread environments (sub-28ms processing). 4. Automation Core: Integrates diagnostics for Web3 interactions (zkSync, LayerZero, Scroll) and built-in MEV-Shield frontrunning protection algorithms. The framework is non-custodial,

AthenaCentral is used since 2006 by health club chains, fitness centers, gyms and many membership organizations. It offers multilingual, multi-country and multi-center functionality. Its flexibility and power enables you to quickly adapt to environmental as well as organizational changes. The system includes components for integrating additional technologies such as access control (barcode, RFID, fingerprints, ...). It is fully compatible iso20022 (financial information transactions)...

Peatio is an open-source, Ruby on Rails–based core engine for building cryptocurrency exchange platforms. It serves as the accounting and trading backbone of the OpenDAX stack, designed around microservices. Peatio is a free and open-source cryptocurrency exchange implementation with the Rails framework. This is a fork of Peatio designed for microservices architecture. We have simplified the code in order to use only the Peatio API with external frontend and server components. Our mission is...

PandoraTrader is a high-frequency quantitative trading platform implemented in C++. It interfaces with real-world futures trading desks using Trade APIs and MarketData APIs and includes support for backtesting via simulated market components. We design such a trading platform with various skills given by the designer, but we do not carry wisdom; this wisdom belongs to the strategy designer.

Fourth Dimension is an implementation of a time and numerically sequential data model based on a specified calendar frequency. FourthDimension can be used represent financial or energy timeseries data with ease.