quant trading strategies onlince course

FinoQ Executive Program

Indian Bring of Quantitative Finance
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Quick Facts

Program Duration
Program Docket
Program Timing
Program Start Date

Program Highlights

Highly qualified industry practitioner module
Advanced Curriculum
Thoroughly hands-connected training in programming algorithmic trading strategies in Python
Training on industry leading algorithmic trading platforms
Training in Feigning Lab
Last Trading experience in real marketplace

About the Flow

The PGPAT course conducted by IIQF is taught away highly qualified and experienced market practitioners and is a job-oriented course that aims to green groceries industry-ready Algo-Traders, who give notice join trading desks of different financial institutions Beaver State setup their own independent algorithmic prop trading desks.

The Financial Markets the world terminated have seen a major prototype displacement in how trading is done. Algorithmic Trading (abv. Algo Trading) as wel known as Program Trading or Automated Trading, essentially implies that the trading is done by computer programs. Currently a vast majority of the trades in more or less of the markets are algorithmic in nature.

These algorithms hinge upon quantitative techniques for formulating trading strategies, detection of useful trade opportunities, generating trade signals, generating the trades and trade regularise execution. At to each one stage there is extensive economic consumption of technologies.

Algorithm Trading, some High-Absolute frequency as well as LF, exploitation Quantitative Methods is now a rattling lucrative career. A breed of traders glorious as the Algo-Traders or Quant-Traders has emerged who have definite skill-sets that are much sought after in the industriousness.

Course Calendar

Students gets free access to recordings of wholly 4 Primers on course registration.

Stack	Lead off Date	Tip	Mode	Time

World Health Organization should give ear

Fresh Graduates
Management Students
Finance Professionals
Dealers
Prop Traders
Arbitrageurs
Retail Traders

Wherefore choose this course?

View what our learners have to say...

Abhijeet Vaze

Working as a Quant in a star MNC

"I had enrolled for the CP-QFRM course at IIQF. IT was sixer months of pure pleasure learning cutting edge, on-line market relevant Quant and Risk Management practises, philosophies and techniques. Smart as a whip team of lecturers coming straight from ahead market entities in the Investment funds and danger space. Afterwards complemental this course of study I was able to successfully realise my desire to effect a career change towards Risk Analytics and Hazard Modelling, after most 13 years of experience. It has given me a booming start and also equipped me to consolidate my career as a result of workforce on skills noninheritable. Not just CQFRM but other courses also I would say are very minded and highly recommended!!"

Sahil Puri

Quantitative Psychoanalyst

"The course connected Business enterprise Engineering that I attended at IIQF is unity of the best courses available in the Indian market. Much more tight than CQF and more than Quant Finance orientated than a CFA. It has a wonderful staff most of whom are early PhDs from Leland Stanford operating theater Professors in Amerindian language Statistical Establish (ISI). The course offers various insights and allows multiple scheduling languages. It allows Open book Testing culture which allows students to focus on applying the theory to precise real problems. This course overall has provided me with a solid mathematical institution, enabled me to understand how the hypothesis translates to practical problems and finally to bugger off a great offer in a fairness quant research team."

Shubhaditya Dutta

Quantitative Search Team, Deloitte

"I had attended the Certificate Computer program in Derivative Valuations and Peril Analytics conducted past Indian Establish of Quantitative Finance. I was previously functioning with a Registered Investment Advisory (proprietary firm) as a Decimal Analyst. This program is very applicable for risk professionals with a specialization in OTC valuations. The content of he of course is real practical for various asset class derivative valuation models and the codes and resources of the model can be utilized to build a foundation for Derivative Valuation Modelling. Lectures are selfsame interactive with its content organism useful for python modelling from scratch and prepare for Valuation and Manikin Validation quant roles... "

Rohan Deodhar, FRM

Analyst, Nomura

"I am grateful to IIQF for portion Maine achieve my goal to move to quant risk persona. What attracted ME to Business Engineering course at IIQF was the content of the course of study. It overgrown Mathematics, Machine Learning, Numerical Methods with Python moulding and helped ME to move to Quant Risk persona something I wanted to achieve."

"I had attended the Program in Derivative Valuations and Risk Analytics conducted by Indian Institute of Quantitative Finance. Before connection I was working with one the of broking firm for long time and was looking for change the field. IIQF's relevant danAMP; up to date program helped me a lot in sharpening my skills and getting desired profile at NOMURA. I would highly recommend this program for its content, which is very relevant for professionals in finance danampere; risk. In addition Nitish Mukherjee from IIQF has salt away lots of efforts to partake danamp; recommend my profile to single organizations and eventually I got chance to work with Nomura, where too my profile was considered after Nitish's personal recommendation."

Karthik suriyanarayanan

Specialist Business Analytic thinking,BNY Mellon

"I recently pursued the certificate program in financial engineering flow from IIQF. Structuring of topics was centered and also in order to enable peerless get wind from the primary to the advanced concepts. Faculty members were selfsame good and offered to assist at all points and covered the aspects of the curriculum in a concise manner. Primer for this course is very helpful for beginners Eastern Samoa a prerequisite. The computer programme as a whole was identical discriminate and useful and completely the faculty members were very commodity. My sincere thanks to all faculty members namely Edelbert, Rupal, Vivek, Ritesh, Srijoy, Ujwal."

Anand Kumar

Deputy Manager , Aptiva

"I had attended the curriculum in Certificate Programme in Derivative Valuations and Risk Analytics using MS Excel and VBA Programming for Finance by Amerind Institute of Quantitative Finance. I would highly commend for professionals in finance, put on the line and statistics. I throw gained immensely from the program specially from Credit and Market Risk, got a job in Credit Risk Modeling visibility in Mumbai due to this course and suchlike to thank IIQF for the same. Special Thanks to "Abhijit Biswas" he was excellent, devoted and very Knowledgeable. I wish them success altogether their future programs."

"Boilers suit experience in IIQF is just superb. IIQF is best A it provides tone education. I did the PGPAT flow from after completing my engineering. My know at iiqf has given me a chance to sharpen my skills in my field of my prize ie algorithmic trading. I want to express my sincere thanks to nitish sir for your help in getting ME placed. Nitish Sir took extra care in disenchanting my expected recruiter that I leave fit in to required visibility and I was successfully ordered as python developer at Tesnatech Pvt Ltd. I didn't realize the realm of your placement services until I stepped into your office. Needless to say,I was amazed at the abundance of opportunities that your institute provides. Thank you for your marvelous help!."

Lalitha Duru

Manager, Sir Henry Morgan Stanley

"Thanks a lot IIQF and the lecturers. PGPFE course helped Pine Tree State in moving to Semi Quant team internally. Lectures are identical informative and covered wide range of complex topics building from fundamentals to very advanced levels. Very refreshing experience."

Brief Course Outline

Module No.	Module Name	Details
Split up 1
Mental faculty 301	Introduction to Algorithmic and Quantitative Trading	What is "Algorithmic" Trading? Market Structures Evolution: Algorithmic Trading trends and their affect happening the markets Types of Recursive Trading Strategies Lifecycle of Algorithmic Trading Market Microstructure and Concepts Order Christian Bible Dynamics Bid-Ask out Spread Tender-Ask Bounce Latency First appearance to jupyter notebook computer Introduction to IntelliJ IDE Installing intelliJ Basics of IntelliJ Read stock information with IntelliJ and basic functionality
Module 302	Technical Trading Strategies	1. Overview of Nonrandom Trading indicators in Technical Analysis 2. Trend following Strategies 3. Impulse based Strategies 4. Exploring strategies on stock Price data 5. Exploring much strategies on bitcoin information
Faculty 303	Strategy Exploitation and Back-testing	1. Ideation and Strategy Introduction 2. Computer architecture of a back-testing System 3. Common Pitfalls (Look-onwards preconception, survivorship bias etc.) 4. Implementing a second-tester 5. Strategy Module 6. Carrying into action Measurement Statistics 7. Parameter Optimization 8. Transaction Price Analysis
Module 304	Money Management and Risk Management	1. Optimal Capital Parcelling 2. Run a risk Management
Faculty 305	Algorithmic program Trading Infrastructure Frame-up Abhijit	1. Algorithm Trading Mechanics 2. Architectural design 3. First platform design and architectural apparatus 4. Operational considerations and pitfalls
Module 306	Algorithmic System Plan and Carrying out	1. Implementing Strategies 2. Order Direction 3. Risk Management 4. Computer error Handling 5. API Integration
Function 2
Module 307	Options Trading Strategies	1. Options Pricing 2. Options Greeks 3. Options Trading Strategies a. Grocery Impersonal Strategies b. Bullish Strategies c. Pessimistic Strategies d. Arbitrage Strategies i. Cash Future Arbitrage ii. Conversion Reversal / Put-Forebode Parity
Module 308	Machine Learning for Quantitative Trading Using Python	1. Introduction to Car Learning 2. Regression Models a. Simple Rectilinear regression i. Example with gunstock data and why rectilinear regression not a good fit b. Multiple Linear Regression i. Example with stock information c. Supplying Retrogression d. Decision Tree Regression e. Random Forest Regression 3. Sorting Models a. Decision Tree Classification b. Random Forest Classification 4. Hardly a examples on what not do check to stock data
Faculty 309	Optimization Methods	1. Analytical vs Numerical Optimization 2. Be Functions for Regression 3. Cost Functions for Classification 4. Gradient Descent 5. Stochastic Gradient Descent 6. Ecstasy Gradient Descent
Module 310	Time Series Analysis Using Python	1. Auto Atavistic Models (AR) 2. Moving Average Models (MA) 3. MA As first model for breed data predictions 4. Car Regressive Moving Average Models (ARMA) 5. Auto Regressive Integrated Moving Average Models (ARIMA) 6. Exponentially Weighted Moving Average Models (EWMA) 7. Unspecialised Automobile Fixed Dependant on Heteroskedasticity Models (GARCH) 8. Stock data examples
Faculty 311	Deep Learning for Quantitative Trading Victimization Python	1. Introduction to Deep Learning – Bionic Neural Networks (ANN) a. Handed-down Machine Learning Vs Deep Learning b. Universal Approximation Theorem c. Perceptron d. Activation Functions e. Cost Functions f. Back Propagation 2. Feed Forward Neural net (FFN) 3. Recurrent Neural net (RNN) 4. Long Short Term Memory (LSTM) Network
Module 312	Quantitative Trading Strategies	1. Introduction to Quantitative Trading 2. Valued Directional Strategies 3. Statistical Arbitrage Strategies a. Pairs Trading Strategies 4. Arbitrage Strategies a. Index finger Arbitrage b. Spread Arbitrage 5. Gamma Scalping 6. Volatility Trading a. Risk Reversal / Excitableness Inclined Trading b. Dissemination Trading 7. Electronic Market Making Strategies
Module 313	Algorithmic Execution Strategies	1. Execution Algorithms a. Per centum of Volume (POV) b. Volume Leaden Average Price (VWAP) c. Fourth dimension Weighted Average Price (TWAP)

Algorithmic Trading Research laboratory

Some Simulated Trading Lab as well A Live Trading Lab fully panoplied with advanced algorithmic trading platforms and statistical analytic thinking systems.

Entrance fee Process

Send Your Application
Get on a call with a counsellor
Wait for Application Adoption
Pay the fee danampere; join the upcoming batch

Finance your Written report

Instructive Loans

We are very happy to help you progress to greater heights in your career in all way possible. Education loans availble at 0% interest for full time Indian residents. Easy EMI plans procurable.

Educatee Aid

Encourages the full sentence students to put down this domain, benefits, if you are still following semiformal education.

Get Answers

What are the prerequisites for this program?

For Indian Participants – Minimum Graduation in skill / economics / DoC / engineering science / direction (students in Last Year of Graduation may also may apply) with mathematics as nonpareil of the subjects.
For International Participants – Minimum Graduation operating theater same degree in science / economic science / commerce / technology / direction from some recognised University or Institution in their respective country with math as one of the subjects.
Technique in spoken and written English. Basic knowledge of Statistics. Functional knowledge of Surpass
Computing device and an internet connection. We teach in Windows based platform. Macintosh users will need to Install Windows in Parallels Screen background for Mac.
Is the program suitable for non-programmers?

Mint of people say, particularly those who dress not have a programming background that it is exceedingly difficult to learn algorithmic trading. There is no denying the fact that if someone is technically good then it is imperative that he will learn the techniques of algo trading much faster and they have a higher chance of succeeding in that field.
While the verity is that though this is something non very easy to learn particularly for non-programmers, however if taught in a decent way and in right context it is not impossible too provided the learner is overserious enough and given the contemporary tools that are available at ones disposal nowadays. What is required is serious and sincere effort and a zeal to learn.
For participants who do non have a computer programing setting, they will need to see a primer module connected basic Python Computer programing. For registered participants of the course, the access to the speech recordings for the Python Primer module will exist provided free of toll.
The Python primer faculty is designed for hoi polloi who manage not have any large-hearted of prior computer programming background and want to learn computer programming for developing applications related to finance. The aim of this political platform is to teach python in an easy, lucid and organized way so that citizenry coming from even no-bailiwick or non-computer programing background knowledge commode learn and use the python language.
Is the programme suitable for people having no background in finance?

While any preceding knowledge is always useful, however the course has been designed in a way that even the great unwashe having none knowledge of finance can attend and learn from this platform.
The syllabu includes modules on relevant areas of basic finance like theories of technical analysis, charting, financial markets, derivatives, option strategies etc. theories are brushed-up before we enter upon the advanced areas.
The trend is taught in an easy, lucid and structured way. We teach from radical to advanced levels in a sense where people with limited background can also cream-astir the skills.
Who should see?

If you are mortal who is interested in making a career As a trader, whether you wish to take-up a job or you want to switch along your own, then learning Algorithmic Trading is no longer a matter of choice it is just about a compulsion now.
We sustain built this course with aim to teach Algo Trading to participants of all kinds of background, the only criteria are that the participant should have a zeal to learn.
Any is your background, if you are someone who wants to learn Algo Trading and either work in an International Banking concern, Hedgefund or Prop up Desks or you wish to trade on your have or you like set-up your have trading desk, we go you the right course to fulfil all your requirements.
It backside be done by Finance, Banking, Information technology and other Professionals, Dealers, Arbitrageurs, Property Traders, Retail Traders – those who aspire to become Quant/Algo Traders and act for the trading teams of International Banks, Hedge Funds, Prop Desks of Brokers Oregon Analytics teams of Consulting Firms surgery IT Companies.
Too, students from Engineering, Mathematics, Statistics, Economics, Finance, Commerce etc. background who aspires to work in International Banks, Hedge Finances, Airplane propeller Desks etc. in progressive Quant Trading/Algo Trading roles or in high-tech analytical roles in Quant analytics, Derivative Pricing and Valuation, Model Validation, United States Treasur, etc. should do this course.
Why you should attend this program?

• Highly moderated Industry Practitioner mental faculty
• Advanced Curriculum including Information Science danamp; Machine Learning
• Covers end-to-close altogether aspects of Algo-trading, starting from strategy development, extensive in reply-testing, optimization, consecrate direction, risk management, error handling, platform consolidation
• Training happening manufacture superior algorithmic trading platform
• Free access to Python Programming for Finance line - worth Rs 8000
• Lifetime placement support for all participants
• Manpower-on training in Programming Algo-trading strategies in Python
• We father't believe in template-supported teaching, our lectures cover hands-on implementation from scratch during the lectures.
• Taught in an easy, lucid and structured way
• We teach from basic to advanced levels in a sense where people with limited play down can pick-up the skills
• Post Course substantiate – We believe in imparting complete erudition and offering support even after the course gets all over
How is the course delivered?

This program is conducted as a omnibus online course offered via online bouncy interactive lecture sessions on weekends. All lectures are registered also and participants gets access to view the bawl out recordings as well.
What is covered in the course?

Completely aspects of Algo Trading, starting from strategy development, extensive spine-testing, optimization, order management, risk management, erroneous belief handling and integration with a trading weapons platform. You also get to learn Quantitative Algorithmic Strategies and Car Learning for Quantitative Trading Using Python.
Preparation is provided on industry leading algorithmic trading political program.
We don't believe in template-based teaching, our lectures cover hands-on execution of the uncastrated development of algo cycle from scratch during the lectures.
The course has a selfsame advanced curriculum designed by Traders and Quant practitioners from exceed Wall Street Investment Banks and financial institutions and diligence experts to prepare line of work-ready professionals.
Who are the mental faculty?

The naturally is taught by Top-snick Traders, Quant Practitioners and Industry Experts from International Banks and Circumvent Funds. The faculty team up consists of preeminent traders and domain experts with top class education setting from IIT's, IIM's and Ph.D.'s from top institutes.
What is the Emily Price Post course support?

We believe in impartation complete learning and we offer bear out even subsequently the course gets over. You get whole-hearted support not only during the course but aft the completion of the course arsenic well. Our faculty team up goes proscribed of their way to extend all possible help to serious learners. You can email United States of America with your doubts and queries and you will Be coupled to the appropriate faculty for resolution your doubts and queries.
Will certificate be awarded on completion of the program? What are the corroboration criteria?
The participant becomes eligible to get the security on completion of a capstone project that is given at the end of the program, participants WHO attend and keep up all the lectures should be able to all-or-none the figure. So, to dumbfound the certificate you volition also have to complete and defer the jut.
Is there whatever placement plump for?

We have dedicated placement team who provides strong hold to all successful participants for acquiring relevant jobs in International Banks, Hedge Monetary resource and Trading Desks of other fiscal institutions.
You may work as Quant Trader, Algo Trader, Consultant, Domain adept and atomic number 82 Quant and Trading Teams of International Banks, top Hedge Funds, Proprietary Trading Desks, Fund Managers and or chance 500 Commercial enterprise Consulting Firms and Leading IT Companies.
What is the path calendar?

This course is offered 3 times in a year.
How long has this programme been or so for?

The first age bracket of this program commenced in 2022.
What computer programing language does this program use?

This plan is entirely taught using Python. It provides complete active training in Programming Algo-trading strategies in Python
What mode of payments do you accept?

We take over all online payment modes like Bank Transfer, Deferred payment Identity card, Debit Card, UPI
Is EMI facility addressable?

Interest Free EMI payment option is available through our NBFC partners.