veighna-global / vnpy_deribitLinks
VeighNa框架的Deribit交易接口
☆19Updated 2 years ago
Alternatives and similar repositories for vnpy_deribit
Users that are interested in vnpy_deribit are comparing it to the libraries listed below
Sorting:
- vn.py框架的FTX交易接口☆26Updated 2 years ago
- Bybit trading gateway for VeighNa Evo☆25Updated 11 months ago
- 非平衡订单流高频交易模型☆111Updated 6 years ago
- alpha投研示例☆79Updated last month
- 基于streamlit的因子分析app☆79Updated 4 months ago
- ☆36Updated 3 years ago
- backtrader接入国内期货实盘交易☆76Updated 3 years ago
- Python Data Analysis and Financial Calculation☆66Updated 6 years ago
- codegen from expression to others, such as polars, pandas☆132Updated 2 weeks ago
- factor performance visualization☆41Updated 3 weeks ago
- 基于万矿平台,对alpha101因子进行测试并构造多因子策略☆92Updated 6 years ago
- Demonstrative examples for developing quantitative and systematic strategies☆37Updated last year
- Here I go through the processing of prototyping a mean reversion trading strategy using statistical concepts, then test it in backtrader.☆61Updated 2 years ago
- High Frequency Analysis Based On Level-2 Data(Limit Order Book& Transaction Data)☆109Updated last year
- VeighNa框架的投资组合策略模块☆47Updated 2 months ago
- VeighNa框架的期权波动率交易模块☆48Updated 2 months ago
- Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial …☆64Updated 2 years ago
- 改进gplearn,主要使用在股票公式挖掘☆97Updated 5 years ago
- VeighNa框架的InteractiveBrokers交易接口☆66Updated 2 months ago
- 升级后的gplearn, 支持包含时序和截面参数的自定义函数,例如均线☆61Updated last year
- Hybrid Python + Rust backtesting framework☆159Updated last week
- Implementation of HFT backtesting simulator and Stoikov strategy☆131Updated 2 years ago
- ☆110Updated 5 years ago
- High frequency factors based on order and trade data.☆60Updated last year
- Stock factor mining with CNN and GRU.☆64Updated 2 years ago
- 101 alpha factors calculate based on Alpha101☆135Updated 6 years ago
- Backtrader量化策略研报复现☆31Updated 3 years ago
- Plot backtrader's result using plotly instead of the matplotlib☆46Updated 2 years ago
- Quant Studio Document☆23Updated 4 years ago
- 改写了gplearn源码,原有的gplearn会把数据转为numpy,丢失了datetime和stockcode的原始信息。很难做截面的因子ic、ir分析,所以改动了相应的源码,使之可以做因子的截面ic分析。另外增加了时序函数和并行化框架ray的支持。☆19Updated last year