TradeStation EasyLanguage for Algorithmic Trading : Discover Real-World Institutional Applications of Equities, Futures, and Forex Markets / Domenico D'Errico.

Format:

Book

Author/Creator:

D'Errico, Domenico, author.

Language:

English

Subjects (All):

Investments--Data processing.

Investments.

Stocks--Data processing.

Stocks.

Physical Description:

1 online resource (282 p.)

Edition:

1st edition.

Place of Publication:

Birmingham : Packt Publishing, Limited, 2024.

Summary:

With AI revolutionizing financial markets, every trader will soon get easy access to AI models through free Python libraries and datasets, with all of them making the same trades! This behavior will modify prices and trading volumes, potentially altering future datasets, leading to major corporations investing heavily in technology, big data, and expert teams. However, individual traders need not be intimidated because this dynamic has been seen before whenever new technologies have entered the trading market. Written by a quantitative algorithmic trading developer with over 15 years of experience in the finance industry, this book will ground you by taking a rational approach to algorithmic trading, where EasyLanguage, datasets, charts, and AI are tools for your journey toward mastering the markets. Your unique human intelligence remains invaluable in navigating and understanding market complexities as you explore the realm of institutional insights, satisfying your hunger to learn real-world algorithmic trading applications from the institutional perspective. By the end of this book, you’ll be able to confidently apply TradeStation EasyLanguage to algorithmic trading, integrate machine learning to refine your strategies, and craft a personalized approach to confidently navigate the financial markets.

Contents:

Cover

Title Page

Copyright and Credits

Dedication

Contributors

Table of Contents

Preface

Chapter 1: Introduction to Algorithmic Trading and the TradeStation Platform

Introducing algorithmic trading

Algorithmic trading definition

Algorithmic trading in quantitative hedge funds

Introducing the TradeStation platform

The TradeStation story

Download and installation procedure

Introducing TradeStation apps

Workspaces and desktops

Summary

Chapter 2: Getting Hands-On with EasyLanguage

Understanding the basics of EasyLanguage

What is EasyLanguage?

How EasyLanguage works

EasyLanguage words

EasyLanguage expressions

EasyLanguage statements

EasyLanguage punctuation

Writing indicators

Exercise 01-Close

Exercise 02-Close Open

Exercise 03-Real Body

Exercise 04-MidPrice

Exercise 05-NetCh

Exercise 06-NetCh with variables

Exercise 07-Momentum

Exercise 08-Moving Average

Exercise 09-Crossover

Exercise 10-Uptrend

Exercise 11-Time

Writing strategies

How to program a basic strategy

EasyLanguage order syntax

MaxBarsBack

How to program take profit and stop loss levels

Chapter 3: Writing a Trend Strategy

Developing trading ideas

Market rationale behind a trend strategy

Information

Market participants

Prices and volumes

Identifying a trend algorithmically

Moving averages

Higher highs

Handling market noise

Entry confirmations

Volatility bands

Chapter 4: Strategy Backtesting and Validation

Understanding backtesting and overfitting

Strategy complexity

Strategy robustness

Sensitivity analysis

One-way sensitivity analysis

Double-way sensitivity analysis

Multiple-way sensitivity analysis

Backtesting across symbols

TradeStation stock symbol universe

ROA report in Excel

Equity lines chart on Excel

Backtesting versus buy-and-hold

In-sample, out-of-sample analysis

Modifying EasyLanguage scripts for in-sample, out-of-sample purposes

An example of in-sample, out-of-sample validation

Chapter 5: Reversal Strategies

The market rationale behind a reversal strategy

Reversal up

Reversal down

Writing a reversal strategy

Existing trend

Volatility compression

Final trend

Backtesting long strategies

Identifying stock to start with

Running a multiple sensitivity analysis on HD (Home Depot Inc.)

Exporting data into Excel and creating an ROA heatmap

Selecting the best parameter set

Backtesting the strategy on the full Dow Jones 30 index

Backtesting short strategies

Running multiple-sensitivity analysis on the SPY

Chapter 6: Trend Pullback Strategies

The market rationale behind a trend pullback strategy

Writing trend pullback components

Pullbacks

Final impulse

Notes:

Description based upon print version of record.

OCLC-licensed vendor bibliographic record.

ISBN:

9781835881200

1835881203

OCLC:

1455762147