Why learn Algorithmic Trading Course?

Globally algo trading participants are increasing. Traders and investors are leaning towards discipline algorithmic trading robots for better risk management and absolute accuracy. When we talk about global market, we cannot miss Indian markets. Since 2008, algo trading in India has hit the right chord with many brokers, hedge funds, asset management companies are adopting algorithmic trading roadmap. The shift from traditional method of trading to automated mode of trading has given a new hope for aspiring forex, commodities stock, futures & options contract traders. Traders in trading, hedging firms have adopted algorithmic trading for faster and accurate trading. We at TVISI Institute of Algorithm Trading offer both online and offline automated trading course for aspirants who are keen to intake the skills of quantitative or algorithmic trading programming.

According to Global Algorithmic Trading Market 2018-2022” report [1] published by Research and Markets, the global algorithmic trading market is expected to grow at a CAGR of 10.36% during the period 2018-2022.

What is Algo Trading?

One can learn about capital markets, stock markets, futures and options, forex markets, commodities markets etc. and about different trading platforms API like Interactive Brokers, Sterling Traders, Amibroker, Metatrader 4, Nest Trading platform, Trading Technologies, Aliceblue, Zerodha and more. Our course is also designed for traders, professionals and students who wants to learn data analytics, data simulation, data modelling, who wants to sharpen their skills in different programming languages. Our course structure will serve as a road map to artificial intelligence and data science.

Algo Trading Course

One of the reasons why one must enrol into Algo trading course is you learn about the quantitative techniques for formulating trading strategies, detection of profitable trade opportunities, generating trade signals, etc. Once you are practically trained from experts, you can confidently join the breed of Algo-Traders or Quant-Traders in any of the top trading company.

Who can attend the course?

Algo trading courses are designed for those who are keen on building their careers into capital markets as stocks traders, option traders, forex traders or even as a fundamental and technical analyst. Our course is more beneficial, if you are a fresh graduate, finance professionals, prop-traders, retail traders and have done management studies.
You can benefit from the course if you are

  • A day trader who is keen to learn advanced trading skills.
  • A financial analyst, fundamental analyst for capital markets.
  • Programmer wanting to sharpen and learn programming skill.
So, if you belong any of the categories, then joining TIAT and learning the course is the best investment you can do.

Job prospectus for algorithmic trading programmer

Aspirants usually enquire about jobs related to trading, jobbing, delta arbitrage, hedging in stocks, option trading markets. Upon completing algo trading course, you can either take up jobs in trading company or start your own stock trading business. Also known as Quants, we list down different profiles or roles one can take up post completion of course

  • Algorithmic trader for managing trading systems and platforms
  • HFT programmer also known as high frequency trading programmer
  • Quantitative analyst or quant traders required by propriety trading desk or hedge funds
  • Option trading strategist - delta arbitrageur, put / call parity, statistical arbitrageur
  • Consultants and Professors for enhancing human skills with automated trading in the Industry

Who employ Stock Traders, option traders, forex traders and commodity traders?

  • Commercial Banks
  • Investment Banks
  • Non-banking financial companies
  • Hedge Funds
  • Brokers
  • Asset management companies
  • Proprietary trading desk

Why to join Algo Trading Course at TIAT?

Learn Programming Skills:

For successful algo trading software, one needs to learn programming skills, which is very much important. There are different programming languages including C, C++, Java, C# and Python. The course offers practical knowledge about these programming languages.

Get in-depth of Algo-Trading:

There are various aspects of automated trading, which one should learn before venturing into capital markets. From basics to advance, the course provides complete understanding of the capital markets.

Practical Training:

Before you join any company, the institute offers practical training about algo trading. Having practical learning experience of the same is important. Most of the classroom courses / workshops are delivered in the form of 2 days to 2 weeks long workshops.

Learn about Different Skills:

From analytical skills to mathematical skills and programming skills, one needs to carry them to be a successful automated trader.

Reason to take up Algo Trading course online

  • Whether you are a beginner or professional, taking up the online course will work best. Since, there is no classroom session involved, you have freedom to choose schedule as per your convenience.
  • All instructors at TVISI are professional traders for Indian and international markers and are also professional programmers.
  • Our online course includes training in Python with algorithmic trading / automated trading, which is a very niche industry.
  • If you want to make your career as quality and robust programmer, then this the right course for you. Post-completion of the course, TVISI will assist you to connect you with some reputed prop. Trading desk, hedge funds, asset management companies, investment banking, rating agencies companies in India and abroad.
  • Enroll for Algo Trading online course at TVISI to get the best learning experience and pitch your career ahead.

Algorithmic trading course is the gateway to future of promising stock trading, derivative trading, forex trading and commodities trading. Gearing up well in advance by learning from industry experts will certainly help you in long run.


Admission open for new batch