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High Speed Trading with Algorithms

High Speed Trading with Algorithms

Rs.38,940.00

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 Basic Info : 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.
Level : Advanced
Commitment  : 12 days (2hrs per day)
Language : English
How To Pass : Attend all sessions and complete all assignments to pass the course
Batch Start : 15th Nov


What Will I Learn

At the end of this course you will:

  • What is Algo Trading?
  • Advantages of Algo Trading?
  • Having a Rule based back test system with Decent edge
  • Steps to create an Algo
  • What is API
  • Languages in which Strategy can be coded
  • How to punch orders in Algo
  • How to integrate algo with broker
  • Use help of Some ready made software such as alphabot, squareoff etc
  • Various issues in Algos
  • Connectivity issue
  • Order rejection
  • Stoploss missed
  • How to apply proper checks to avoid and minimize above issues
  • Algo Trading is not unsupervised Trading

Curriculum

  • 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.

How It works

   Live Classroom Sessions
Each session is interactive and informative, featuring case studies, quizzes and projects

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