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web_dashboard

Internal dashboard for continous data visualizations

web_frame_source_code

Python Web 框架源码注释

web_server

web_trader

📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.

website

Code related to sample portfolio of strategies

websocket-broadcasting

Simple example showing how to broadcast to websockets using rabbitmq and aio-pika on FastAPI

websocket-chat

socketio fastapi

websocket-client

WebSocket client for Python

websocket-live-streamer

A proof-of-concept for using WebSockets to send real-time webcam data to a client. Runs at ~0.1s latency.

websocket-orderbook-replication

Example python script replicating remote orderbook from websocket stream

websocket-servers

websocket-ticker-to-candle

websocket_asyncio

websocket_asyncio_redis

Telegram Async Redis

websocket_restframework_server

Aplicación desarrollada con Django Channels Rest Framework que envía mensajes al cliente sobre todas las operaciones CRUD realizadas a través del ORM de Django en un modelo.

websocketproj

none

webui

frontend of backtest platform, Jquery & Python & MySQL

webull

APIs for webull

webull-1

webull-2

webull-client

A wrapper for the Webull API

webull-trading-bot

WeBull Trading Bot, by Jacob Amaral Youtube : https://youtu.be/eA8xA8diD3U This bot will connect to the unofficial Webull API and place trades automatically

webull_algo_trader

Console program that allows users to sign in have the program trade paper stocks on its own. Only paper trading is supported currently.

webx

A next-generation ASGI Python web-framework, focused on Speed and Stability

weekend-backtrader

Implementation of the weekend trader strategy with backtrader

weekly-winner

Python command-line program that leverages the user's Robinhood account to assist in choosing options to perform the wheel strategy. This is done by utilizing a delta-based risk assessment and listing qualifying weekly options in order of potential profit within price range.

weekly_report

weeklyforecasting

This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic Harmonic Regression ARIMA and a global Recurrent Neural Network (RNN), and optimally combine them using lasso regression.

weeklystockscanner

Report written weekly on stock scanner's result

weidex-chart-datafeeder

Custom datafeed used by TradingView