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High Speed Trading with Algorithms

BASIC INFORMATION

  • Level : Advance
  • Mode : Classroom
  • Eligibility : Graduate
  • Duration : 24 Hours
  • Location : Mumbai
  • Start Date : TBA

Course Description

In the last decade, algorithmic trading (AT) and high-frequency trading (HFT) have come to dominate the trading world. Computer-assisted rule-based algorithmic trading uses dedicated programs that make automated trading decisions to place orders. AT splits large-sized orders and places these split orders at different times and even manages trade orders after their submission.

The algorithms also dynamically control the schedule of sending orders to the market. These algorithms read real-time high-speed data feeds, detect trading signals, identify appropriate price levels and then place trade orders once they identify a suitable opportunity. They can also detect arbitrage opportunities and can place trades based on trend following, news events, and even speculation.

Objective of the Course

  • Languages in which Strategy can be coded
  • How to punch orders in Algo
  • How to integrate algo with broker
  • Various issues in Algos
  • How to apply proper checks to avoid and minimize above issues
  • Algo Trading is not unsupervised Trading

Course Syllabus

  • What is Algo Trading.
  • Advantages of Algo Trading
  • Variables, Conditions, Loops, Functions
  • Importance of data
  • Cleaning data, Statistics
  • Why visualization is important
  • Graphs, Matplotlib
  • Intro to types of indicators
  • What are technical indicators, basic indicators and how to code
  • Introduction to TA-LIB
  • How to evaluate strategy results
  • CAGR, Sharpe, Sortino, Calmar
  • Having a Rule based back test system with Decent edge
  • Backtest basics, how its done, how to create metrics
  • Strategy based on indicators in Python
  • Strategy based on indicators in Python
  • What is API
  • Login to Zerodha using API
  • Steps to create an Algo
  • Getting live feed and subscribing symbols
  • Issues in Algo
  • How to apply proper checks to avoid and minimize above issues
  • Algo Trading is not unsupervised Trading
  • Punching orders. Modifying and Canceling Orders.

Partner / University

The University of Mumbai (known earlier as University of Bombay) is one of the oldest and premier Universities in India. It was established in 1857 consequent upon "Wood's Education Dispatch", and it is one amongst the first three Universities in India. As a sequel to the change in the name of the city from Bombay to Mumbai, the name of the University has been changed from "University of Bombay" to "University of Mumbai", vide notification issued by the Government of Maharashtra and published in the Government Gazette dated 4th September, 1996. The University was accorded 5 star status in 2001 & 'A' grade status in April 2012 by the National Assessment and Accreditation Council (NAAC). It has been granted University with Potential for Excellence (UPE) status by UGC and PURSE Scheme by DST.

mumbai University

Key Takeaways

  • Learn to manage a collection of stocks so as to minimize risk and maximize returns
  • Learn to use charts and other technical analysis tools
  • Learn techniques to analyze stocks based on financial statements and ratios
  • Learn about candlestick charting

Program Highlights

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300+ world class practitioners
as faculty members

Our trainers and coaches are experts in their fields of study, with intensive knowledge
and industry experience that guide
their teaching methodologies.


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Cutting edge curriculum

Each course is designed by industry-experts aligned to market demand.


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Learning Design

Learn what is necessary, experiential
and hands on.


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Globally recognized

Certifications recognized not just in
India but globally.


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Gateway to International opportunities

Build your learning credentials and use them for pathways to International Universities.


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Iconic Campus

Iconic building and a place to meet merchant bankers regulators, market gurus to expand your network.


Participant Testimonials

OUR RECRUITMENT PARTNERS

BNP Paribas
Morningstar
Morgan Stanley
Integreon
Axis Bank
Motilal Oswal
V Createk
Standard Chartered Bank
Angel Broking
Anand Rathi