低延时交易(Low-latency trading)是算法交易的一个分支,可以定义为资本市场参与者对市场事件进行更快速的反应,利用极其细微的反应时差,来获得更多盈利的一种交易方法。 大家津津乐道的”高频交易“(High-frequency)是低延时交易中的一个类别。低延时交易还可以包括其他的、同样具有高速属性的交易方法。 什么是延迟 延迟...
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Understand the architecture of high-frequency trading systems Boost system performance to achieve the lowest possible latency Leverage the power of Python programming, C++, and Java to build your trading systems Bypass your kernel and optimize your operating system Use static analysis to improve ...
Deployment of a live trading bot using the same algorithm code: currently for Binance Futures and Bybit. (Rust-only) Getting started Installation hftbacktest supports Python 3.10+. You can install hftbacktest usingpip: pip install hftbacktest ...
The platform is also universal and asset class agnostic - with any REST, WebSocket or FIX API able to be integrated via modular adapters. Thus, it can handle high-frequency trading operations for any asset classes including FX, Equities, Futures, Options, CFDs, Crypto and Betting - across mu...
The corresponding intra-day high-frequency data is selected as the research sample. It is conducive to maximally retain market information to select research samples with a higher sampling frequency. The intraday closing price data of the CSI 300 index on consecutive trading days from January 1, ...
Algorithm Gradient descent Learning rule Momentum Number of units per hidden layer 8 First hidden layer activation function Relu Second hidden layer activation function Relu Last hidden layer activation function TanH Output layer activation function Sigmoid Iterations 1–100 The training process is illustrat...
A python-based scraping and visualization tool for uncovering High Frequency Trading (HFT) networks, consisting of point-to-point line-of-sight microwave (MW) links, operating in the Chicago - New Jersey trading corridor. - debopambhattacherjee/HFTNetVie
Targeting sentiments in texts combining Tamil and English, our supervised learning approach, particularly the Decision Tree algorithm, proves essential for effective sentiment classification. Notably, Decision Tree(accuracy: 0.99, average F1 score: 0.39), Random Forest exhibit high accuracy (accuracy: ...
Beamforming (BF), noise reduction (NR) and adaptive filtering algorithms focus the processing system on speech as the critical audio signal, and filter out other high-frequency and low-frequency signals in the environment. Non-linear processing helps account for the artifacts introduced by the ...