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vnpy-2

alpaca vnpy

vnpy-python-quan-trading-framework

vnpy-wsl

vnpy2.1.3

vnpy2.1.5_influxdb

vnpy64-portable

compile vnpy for 64-bit Windows and Linux

vnpy_my

vnpy_onwindows

vnpy on windows running

vnpy_overview

this is a overview of the vnpy

vnpy_radarwin

test

vnpy_webtrader

vn.py框架的Web端管理服务器

vnpyenginefunction

How to product a strategy with vnpy

vnpygithub

这是存放vnpy框架的策略

vnpypro

quant project base on vnpy and QUANTAXIS

voila

Backtesting for Bitcoin and Stock Trading Strategies

vol-barometer

A Volatility-Based Strategy using Alpaca

vol-poorofile

Indicator for TradingView

vol-surface-parametrisation

Parametrisation of vol surface using Gatheral's SVI methodology and valuation of American options using Kim integral equations

volanalysis

Volatility Analysis using yfinance

volatile

Volatile: your day-to-day trading companion.

volatility-forecasting

volatility-strategy

Forex trading VolatilityStrategy

volatility-study

• Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot and options prices data from CBOE and Yahoo Finance • Utilized NumPy, Pandas, and SciPy packages to calculate implied volatility, realized volatility, and risk premiums to measure how the market prices risk • Gathered and plotted daily VIX futures data with Selenium, Seaborn and Matplotlib to study volatility term structure • Examined volatility clustering and built forecasting tools for market risk using correlations of daily absolute returns and volatility at different time lags

volatility-trading

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

voldashboard

volk

The Vector Optimized Library of Kernels

vollib

Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.

volstreet

voltrad1

volume-algo-eurusd

The code is a EUR/USD algorithm that uses moving averages and the On-Balance Volume (OBV) and Chaikin Money Flow (CMF) indicators to buy or sell the currency pair. It retrieves historical data, calculates indicators, and executes trades based on price crossing the moving average and OBV/CMF signals.