Algorithmic Trading

  • Profile photo of abhiraj
  • Profile photo of Adil
  • Profile photo of Modrika
  • Profile photo of bernard
  • Profile photo of zrzerr

Algorithmic Trading is the platform where ideas are turned into mathematical models and then coded into computer programs for systematic trading. It is an ability where finance, trading, maths and computer sciences are combined. The computer algorithms are designed based on the arts performance of the strategy back-tested against historical information.

The objective is to introduce students with comprehensive aspects of Algorithmic Trading and execution. It is designed for both buy and sell-side industry. This course involves a top-down approach to Algorithmic Trading, in which we will equip students with the identification of target markets and trading styles for Algorithmic Trading, identified the factors driving the growth of electronic trading with an overview of Electronic and Algorithmic Trading, designing trading strategies and their algorithmic components.

Students also get opportunity to work on trading terminals, learn infrastructure requirements, techniques of risk management and portfolio improvement and business strategies to protect the combative provide in Algorithmic Trading.

Students/Corporate cover courses in finance, financial economics, financial econometrics, financial mathematics, stochastic calculus, numerical methods, monte carlo simulation, derivatives modelling, portfolio theory, portfolio optimization, performance analysis and financial risk analysis. You instruct to write financial applications and derivative modelling programs in VBA / C++C# SharpEasy language making use of the theories and methods you have learned. You get hands-on learning session on the commercial Financial Software applications from Thomson Reuters. You also acquire to do assets financial modelling using the advanced features of Excel.

Course Curriculum

Video trading of beginners 00:21:00
Introduction to Algo trading (video) 00:11:00
Introduction to Algorithmic Trading ppt 01:00:00
Algorithmic Introduction quiz 00:10:00
Module 1: Financial Statistics
Simple Statistics for Finance 00:13:00
Continuous Probability Distributions 01:00:00
Sampling Distribution 01:00:00
Hypothesis Tests about μ 01:00:00
Hypothesis testing of population proportion 01:00:00
Financial Statistics quiz 00:10:00
Module 2: Financial Markets and Algorithmic Trading
Financial Markets 00:35:00
Time value, return and price series (Ebook) 2 months
Financial Markets and Algorithmic Trading quiz 00:10:00
Module 3 : Options, Futures and Forwards
Options Swaps 01:00:00
Bounds on Option Prices 01:00:00
Black Scholes Model 01:00:00
Option Valuation 01:00:00
Binomial Trees and risk neutral valuation 01:00:00
Futures, Forwards, Options, & Swaps 00:05:00
Options, Futures and Forwards quiz 00:10:00
Module 4: Portfolio Theory
Portfolio Theory 01:00:00
Modern Portfolio Theory 01:00:00
Market microstructure and Kellys 4 weeks, 2 days
MSExcel simulation-optimal risky portfolio 1 week, 4 days
Optimal risky portfolio 10, 00:00
Portfolio Theory quiz 00:00:00
Module 5: Financial series Analysis
The four financial statements (CFA series: Financial Statement Analysis) 00:07:00
EMH, Statistics and FTS 4 weeks, 2 days
Forecasting and residual diagnostics 2 months
Pairs Trading and practical 2 months
Pair Trading Excel simulation 10, 00:00
Financial series Analysis quiz 00:10:00
Module 6: Technical Analysis
Technical analysis I 01:00:00
Technical analysis II 01:00:00
Technical analysis III 01:00:00
Module 1: Technical Analysis and the Dow Theory 00:13:00
Module 2: Charting Basics 00:14:00
Module 3: Trend Concepts 00:20:00
Module 4: Reversal and Continuation Patterns 00:26:00
Module 5: Accumulation / Distribution 00:06:00
Module 6: Moving Averages 01:20:00
Module 7: Oscillators and Sentiment Indicators 00:33:00
Module 8: Further Charting 00:41:00
Module 9: Elliott Waves and Cycles of Time 00:27:00
Module 10: Cloud Charts: the Ichimoku Technique 00:17:00
Module 11: Money Management and Computers 00:27:00
Module 12: How to Build a Trading System 00:17:00
Module 13: The Stock Market 00:23:00
Module 14: Futures 00:18:00
Module 15: Options 00:24:00
Module 16: Forex Trading 00:18:00
Module 17: Strategies and Trading Principles 00:19:00
Technical Analysis quiz 00:10:00
Module 7:Introduction to R
R Tutorial: Introduction to R(video) 00:21:00
R Language programming 01:00:00
Intro to R programming Part-I 01:00:00
Intro to R programming Part – II 01:00:00
Introduction to R 00:10:00
Module 8:Easy Language Programming (TradeStation) & Trading strategies
Trading strategies and Tradestation video 1 01:30:00
Trading strategies and Tradestation video 2 01:30:00
Trading strategies and Tradestation video 3 01:35:00
Trading strategies and Tradestation video 4 01:30:00
Trading strategies and Tradestation video 5 01:30:00
Meander strategy (Ebook) 2 months
Easy Language Programming (TradeStation) & Trading strategies quiz 00:00:00
Medium and Advanced-Level Trading Strategies (TradeStation)
Trading strategies and Tradestation video 6 01:30:00
Trading strategies and Tradestation video 7 01:30:00
Trading strategies and Tradestation video 8 01:35:00
Trading strategies and Tradestation video 9 01:30:00
Trading strategies and Tradestation video 10 01:20:00
Trading strategies and Tradestation video 11 01:30:00
Trading strategies and Tradestation video 12 01:20:00
E-Books for Algorithmic trading and Financial Series Analysis
E-Books for Algorithmic 6 months
Certification Quiz
Algorithmic Trading final quiz 01:00:00

Course Reviews


4.1 ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No Reviews found for this course.

  •  9,000 18,000  4,990 14,990
  • 12 months
  • Course Badge
  • Course Certificate


Current job opportunity

All rights reserved @ 2016