A python library for computing technical analysis indicators on streaming data.
Volume Weighted Average Price (VWAP) Indicators for Backtrader
Order Flow Ticks, Volume/TPO Profile, Weis & Wyckoff System and more for cTrader trading plataform!
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
High-performance limit order book engine with C++ core and Python SDK. Processes 20M+ msgs/sec with us latency. Supports real crypto/equity data replay, spread/imbalance/impact analytics, and backtesting of VWAP, TWAP, POV, and market-making strategies with reproducible PnL and risk metrics.
Order Flow Ticks, Volume/TPO Profile, Weis & Wyckoff System and more for Python with mplfinance/plotly!
Calculate the Volume-Weighted Average Price (VWAP)
My collection of open-source indicators for Tradingview and Ninjatrader
An algorithm that intelligently executes a crypto order over time via Coinbase
Using weighted average formula, profit and loss is calculated in Bank Nifty Data of 5 min
open-source framework for building and deploying high-frequency trading bots using Python. It provides a low-latency, modular system for running sophisticated strategies like VWAP and arbitrage across multiple exchanges.
The Anchored VWAP (AVWAP) for Ninjatrader 8 allows to plot the AVWAP indicator in any chart using an specific anchor. This indicator allows to set the year, month, day, hour and mininute in which the indicator should start.
This repo concentrates all of my work about the simple vwap strategy for freqtrade france
Simple client/server example that can be used as a starting point for development using Fix8Pro
A Python backend server that integrates with TradingView and Tastytrade to automate the submission of trades for ES and NQ futures contracts, providing seamless execution of strategies based on TradingView signals.
Here are some band indicators for TradingView: Bollinger Bands, Keltner Channel, Parallel Channels, and VWAP Bands.
EMA-VWAP crossover trading strategy in Python
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