You have profitable trading strategies in place and tested in the market for years but too time-consuming to execute. Do you like to completely automate this process to spend your time on more important work?
Do you have new trading ideas but are unable to assess their performance in the long term? Do you find potential strategies in testing but end up losing in real trading?
Knowing the limitations of AmiBroker, MetaTrader, or TradingView, do you want to develop your own trading system with the capability to deploy a diverse range of trading strategies, including but not limited to technical analysis? Do you want to approach a high-frequency trading system but face too many technical barriers?
Are you a fundamental analyst investor looking for technology to optimize the trade execution process in Vietnam?
Algorithmic trading theory and practice: a practical guide with applications on the Vietnamese stock market, is a book for you. It covers the entire process of building an algorithmic trading system and a roadmap to turn ideas into real investment strategies, testing, optimizing, and automating the entire execution process. Here are the main contents:
Chapter I provides core concepts and basic algorithmic trading knowledge.
Chapter II to Chapter VIII provide detailed instructions on how to build an algorithm to trade on real markets, including data, APIs, trading strategies, backtesting, optimization, forward testing, live trading, and algorithmic evaluation criteria.
Chapter IX is dedicated to multi-algorithm trading.
Chapter X outlines practical experiences in algorithmic trading in Vietnam.
Chapter XI offers a free application that supports the decision-making process when trading.
Chapter XII allows readers to experience trading algorithms on personal investment accounts following a simple moving average strategy.
The ALGOTRADE team hopes you find helpful information in our book. We extremely appreciate your support.