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wesley1001's Projects

trading-momentum-transformer icon trading-momentum-transformer

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

trading-rl icon trading-rl

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

trendln icon trendln

Support and Resistance Trend lines Calculator for Financial Analysis

tsc icon tsc

time series classification in practice

ttyh icon ttyh

天天有货-微信公众平台-前端项目

tuijscom icon tuijscom

推JS网站源码,基于Node开发的小型社区。站点演示:http://www.tuijs.com.

tuneta icon tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

turbulence-and-systemic-risk icon turbulence-and-systemic-risk

Project description: https://medium.com/@tzhangwps/measuring-financial-turbulence-and-systemic-risk-9d9688f6eec1?source=friends_link&sk=15d25da80de749edd1694fc70d0703bb

tushare icon tushare

TuShare is a utility for crawling historical data of China stocks

tushare-1 icon tushare-1

TuShare是实现对股票/期货等金融数据从数据采集、清洗加工 到 数据存储过程的工具,满足金融量化分析师和学习数据分析的人在数据获取方面的需求,它的特点是数据覆盖范围广,接口调用简单,响应快速。

uhura-native icon uhura-native

Mobile app based in React Native for the best podcast player

ultrafinance icon ultrafinance

Python project for real-time financial data collection, analyzing && backtesting trading strategies

understanding-deep-learning-models-rnn-cnn-on-stock-dataset icon understanding-deep-learning-models-rnn-cnn-on-stock-dataset

Deep learning practitioners regard recurrent architectures as the default starting point for sequence modeling tasks. Convolutional networks, however, have been applied to sequences for decades,in speech recognition etc. While there have been multiple thorough evaluations of RNN architectures on representative sequence modeling tasks, we are not aware of a similarly thorough comparison of convolutional and recurrent approaches to sequence modeling. My study on these architectures showed how do the CNN and RNN perform on our stock dataset and why is CNN better than RNN. Evaluated models: Feedforward, LSTM, 2D CNN, 3D CNN, TCN

uphall_app icon uphall_app

uphall(尚食堂)的app,基于react-native构建

urselect icon urselect

react native开发电商APP常用目录结构。路由、导航,ES6。

ushahidi_web icon ushahidi_web

Ushahidi v2. A platform that allows information collection, visualization and interactive mapping, allowing anyone to submit information through text messaging using a mobile phone, email or web form.

v2hot icon v2hot

V2HOT is an iOS App made by @xcatliu, powered by React Native.

viease icon viease

微易,一款微信公众平台管理系统。

vnpy icon vnpy

基于python的开源交易平台开发框架

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