Pinned Repositories
xtquantservice
讯投量化服务，基于miniqmt封装的服务API。
QAnything
Question and Answer based on Anything.
vnpy_sopt
VeighNa框架的CTP期权（ETF）交易接口
CSharp-NT8-OrderFlowKit
Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.
LSTM_Stock_prediction
Stock prediction using PyTorch nn Module
sqldev-jdbc-proxy
JDBC driver for SQL Developer that can delegate MySQL requests to Snowflake, PostgreSQL, SQLite, H2 and MySQL.
StockPlot
A technical analysis library for AvaloniaUI using ScottPlot
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
ws-bench
Scientific™ WebSocket server benchmark
wtpy
wtpy是基于wondertrader为底层的针对python的子框架
zzeric's Repositories
zzeric/CSharp-NT8-OrderFlowKit
Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.
zzeric/LSTM_Stock_prediction
Stock prediction using PyTorch nn Module
zzeric/sqldev-jdbc-proxy
JDBC driver for SQL Developer that can delegate MySQL requests to Snowflake, PostgreSQL, SQLite, H2 and MySQL.
zzeric/StockPlot
A technical analysis library for AvaloniaUI using ScottPlot
zzeric/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
zzeric/ws-bench
Scientific™ WebSocket server benchmark
zzeric/wtpy
wtpy是基于wondertrader为底层的针对python的子框架