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algotrade_1

algotrade_buddy

algotrade_intraday_momentum

algotrader-16

AlgoTrader utilizes a series of charting, technical indicators, and machine learning processes to determine pivotal activity in the equity markets.

algotrader-17

algotrader-18

algotrader-19

algotrader-2

ibapi pyqt trading system

algotrader-3

kiteconnect zerodha docker

algotrader-4

Writing an algorithm in Python to trade DOW contracts using Black-Scholes binary options pricing. Automated trades using the Yahoo Finance API which required the use of XML processing using ETree libraries. Data mined live feed from various websites for live Index Pricing and Volatility by parsing HTML.

algotrader-5

Algo trading (fully automatic) with provision for remote commands. Has multiple strategies some of which are backtested and had decent results, ICICIDirect scraping and Upstox API integrated

algotrader-6

Simple algorithmic stock and option trading for Node.js.

algotrader-7

Algorithmic Trading resources, for personal, and team usage.

algotrader-8

A Library for Algorithmic Trading with Alpaca in Python

algotrader-9

algotrades

Strategies and platform development

algotradesys_backtester

Python Algorithmic Trading Backtesting library built on zipline framework

algotradesys_services

REST API for Algorithmic Trading System that connects to Data Sources and implements CRUD requests to MySQL database

algotrading

Interactive Brokers API ASX algo trading

algotrading--double-bottom-trader

The Double Bottom pattern in financial markets trading is one of the most well-known technical chart patterns that is, however, highly subjective and irregular and hence, is not typically preferred by algo traders due to the unambiguous nature of double bottom patterns. Interestingly, the amount of literature on the topic of identifying such patterns has so far remained very scarce, despite this pattern arguably having a much stronger predictive power than technical indicators in general. As a consequence, most traders who publish their trading methodology continue to identify chart patterns such as the double bottom by means of visual inspection. In this project, I attempted to create a robust solution with the possibility to identify double bottom chart patterns in real time and initiate buy orders on a wide selection of markets using the Python API of the MetaTrader trading software.

algotrading--high-frequency-trading

algotrading-1

Use the zipline and pyfolio to analyze trades.

algotrading-10

IBAPI - important backtrader - This is complete algo trading package is for downloading historical OHLC data for backtesting and performing live trading on Interactive Brokers. For learning step by step procedure to recreate this is also included. OHLC data for backtesting and performing live trading on interactive brokers.

algotrading-11

Quant Connect Trading Algorithms

algotrading-12

Algorithmic trading platform for multiple assets

algotrading-13

A simple algorithmic trading system.

algotrading-14

This time I'm trying to deploy a technical analysis with pandas_datareader, ta and (I hope that in a couple of weeks) with pytorch. Here the aim is to extract insightfull conclusions from charts and predictions through the calculations of Boulinger Bands, Moving Average Convergence Divergence, Long Short Term Memory Neural Networks, etc.

algotrading-15

Learning more about Algo Trading

algotrading-16

Algorithmic trading framework for cryptocurrencies.

algotrading-17

JN alpaca robin hood