A QuantStart alternative covering functional trading strategies (2023)

Learn techniques used in real trading, not academic content

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A QuantStart alternative covering functional trading strategies (2)

A QuantStart alternative covering functional trading strategies (3)



It focuses on real trading opportunities

It focuses on quantitative finance content found in academic curricula



Basic programming and finance knowledge required

course style

Videos and PDFs for theories and coding. You see my screen, not my pretty face


Ability to operate your own trading accounts

Yes. It teaches you how to trade your own live account

No. backtest only

Good for

Become (hopefully) a successful trader

Learn basic quantitative finance skills

Why AlgoTrading101

First of all, I strongly discourage you from learning to trade if you just want to make money.

There are other easier ways to make money. Only do this if you like to trade.

Now that I've said my disclaimer, if you're still determined to do this, here's why you should choose AlgoTrading101:

  • You'll learn how to trade grim markets (where there's less competition than hedge funds) such as Canadian Banker's Acceptance Futures.

  • You'll see how to use web search and forum data to predict events instead of drawing funny triangles and lines on charts.

  • You will learn about real market opportunities, not general academic financial theories.

  • You will build your first simple robot in 3 days from scratch.

  • You will have a mentor to guide you on this dynamic journey.

A QuantStart alternative covering functional trading strategies (4)

Why NOT AlgoTrading101

  • AlgoTrading101 does not offer jobs directly to you by boosting your resume. (Although you can find jobs indirectly by becoming a good marketer.)

  • We don't force you to learn 20 hours of basic coding skills before applying your skills. We encourage you to build and test trading robots as soon as possible.

  • We don't train data scientists. Your business prowess will not come from being a data scientist or a computer scientist. It will come from identifying simple opportunities that the market is overlooking.

  • We are not promising overnight riches (let me know if any!)

A QuantStart alternative covering functional trading strategies (5)

Our proven track record




(Video) Ghost Patterns – D.E. Shaw’s Quant Strategy Explained

In between



google reviews


of five



Coaching Support Hours

Numbers are updated weekly

I've worked with Nobel Prize winners, world-class athletes and one of the best Forex traders in the world.Everyone has the "IT factor" in their own way. Luke's MQL4 programming course is the third one I've taken in the past year. Lucas' course is fantastic!It has the It Factor.

-Michael Laurenson,5 stars

Meet your Trainer

Lucas Liew directs Leonhart Capital, a fund that manages a seven-figure portfolio.

He has worked at a private trading company, a hedge fund and taught financial planning at the Singapore Government Investment Corporation (GIC), one of the world's largest sovereign wealth funds.

Lucas was featured on Investopedia and is one of the most viewed authors on Algorithmic Trading on Quora.

You can read more about him atQuoraand himselfblog.

Lucas and his team designed AlgoTrading101 to be the training program they wished they had when they started trading.

A QuantStart alternative covering functional trading strategies (7)

When learning, youor find a teacher who knows the subject in depth but cannot teach it effectively, or a teacher who is good at teaching but lacks depth. Lucas has bothand it created an absolutely valuable learning experience for me.

-Joseph Oisamoje,5 stars

About AlgoTrading101

AlgoTrading101 was started as a response to the many get-rich-quick schemes and shady trading courses.

We wanted to create a program that would tell us the honest truth about trading and teach us the key concepts and skills needed to be successful.

In 2014, AlgoTrading101 started as a side project. We had hundreds of submissions on the first day of launch, one thing led to another and here we are now.

Read about how AlgoTrading101 got started:hackernoon interview

See course syllabus Algo Trading (AT101) and Quantitative Trading with Python (PT101)

See the detailed program in detail

AlgoTrading101 is full now -Join our waiting list ↓

Not sure if our program is for you?

Join our waiting list

And receive free lecture samples

Registration at AlgoTrading101 will only be open to those on the waiting list

get answers

In class...

What are some requirements for the program?

Elementary/High School Mathematics
Basic Excel skills
Computer and Internet connection (Windows, Mac or Linux, but Windows is preferred)

I'm a complete beginner. Is this program right for me?

Yes, this program is designed for beginners. The program is developed progressively. It involves a graphical, step-by-step approach with minimal technical jargon.

But, of course, you'll need to put in more effort than someone with stronger business experience to master the content.

I can't code! Is this program right for me?

Yes, this program is designed for programming beginners. We have a 24/7 support channel to help you with coding issues!

Just to be clear, I don't need finance, trading, or programming experience?

No you do not.

I can code! Is this program right for me?

If you can code MQL4 or Python well, you can skip basic coding lessons. The value you will earn will come primarily from lectures on researching, testing and executing trading strategies in investor markets.

Learning how each chess piece moves (Coding) is the first step. Learning how to beat other players (Design Strategy) is the hardest part.

What should I do if I get stuck while encoding?

Send us an email and we'll guide you. We answer hundreds of questions about trading and coding. I think we're already pretty good at it =)

Will I receive a certificate once I complete the program?

Yes. We will send you a certificate of completion.

Is this a Forex program?

No, it's not. Program content is not specific to any item category. However, we use Forex for most of our examples on the AT101 initially as it is beginner friendly.

In the next chapters of AT101, we will look at other asset classes (using CFDs) such as stocks, commodities and cryptocurrencies.

We will primarily use stocks, bonds, commodities and cryptocurrencies in our PT101 course.

What if I am not satisfied with the program?

We never want you to be unhappy! If you are not satisfied with your purchase, contact us within the first 30 days and we will give you a full refund. No questions.

When does the program start and end?

Join our waiting list and we'll let you know when registration opens. The average waiting time is around 2 months (as of January 2019).

The show never ends! It's a completely self-paced online program - you decide how fast you want to go and when to finish. We regularly add content to the course.

How long does this program last?

There are 380 lectures in total. The total video content is about 20 hours. This excludes all PDF lectures and coding practice. More lectures are added each month.

Is this program only available online?


How does this program compare to other finance/business courses?

Well, there's no global ranking (I wish there were), but for what it's worth, we're one of the best courses on Google. You can also checkour comments here.

What is the difference between this program and algorithmic trading courses on Coursera, edX etc?

This program teaches practical skills and gets you into trading and raising trading capital from investors.

Other courses are generally more theoretical.

How long has this program been around?

The first version of the program was released in October 2014.

Does this program teach high frequency trading?

No, we only teach low frequency trading models. High frequency trading is a different game.

What software/programming languages ​​does this program use?

MetaTrader 4, MetaTrader 5, Python e Excel VBA.
AT101 is an MQL4.
PT101 usa Python.

I can apply for AT101 but not PT101 and vice versa.

Unfortunately, you cannot. You get access to both courses (and more) when you join AlgoTrading101.

(Video) Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

Which payment method do you accept?

We accept Paypal and credit cards. All credit card transactions are handled by Stripe. We do not store your credit card information.

Will there be discounts?

Unfortunately not. We apply a fixed price policy.

How can I contact you?

use this formor send us an email to[email protected]

In trading...

What is algorithmic trading?

If you don't know what algorithmic trading is, this site must be pretty confusing right now :D

Algorithmic Trading is essentially automated trading using code. You build trading robots that will analyze and trade the market on their own.

More information here:Definition: algorithmic trading - Wiki @AlgoTrading101

How long will it take to start a live trading robot?

It is possible to start a trading robot within a week of the course, but we do not recommend it.

As a general rule of thumb, you should be confident enough to launch your bot within 1-3 months of completing the course.

How much time do I need to test my trading robots?

Zero dollars. We demonstrate our robots with play money to see how they work.

How much do I need to start a live trading robot?

Again zero dollars. We can launch our bots with play money to see how they perform.

As for the minimum required for trading, 500 USD will be more than enough.

The initial goal when launching real money bots should be to learn as much as possible. It's not tripling our capital by taking a lot of risk.

Will current content be relevant 20 years from now?

No, it probably won't.

Markets are evolving at an increasing rate. Old methods become obsolete more quickly. We have to adapt as the market evolves.

Our current content may not be relevant. However, we will constantly be adding/removing/modifying our content to remain relevant over time. As an AlgoTrading101 member, you receive all updates at no extra cost.

(Video) QuantNet: Transferring Learning Across Systematic Trading Strategies

What our members are saying...

Stop Everything Else - Jonathan Betournay (5 stars)

"I was taking coding classes when I came across this course. I decided to give it a try and wow! I basically stopped everything to get this course done ASAP.

Charming! And Lucas does an amazing job, in my opinion, teaching an extremely complex system that includes knowledge/interest in coding, macroeconomics and microeconomics, math (probability), statistics, and finance.

Great job Luca, wish I could meet you in person one day!”

Spacious and practical! - Desmond Ho | Trader, Brahman Capital Management (5 stars)

"I have been a discretionary trader for over 3 years and wanted to diversify into systematic trading. As I had no idea how to automate my strategies, this course took my first steps into the world of quant."

500 USD to 10,000 USD in 3 weeks. Algo Trading Manual - Shafie Md (5 stars)

"I have been trading forex using a strategy that works and I would like to have an expert advisor who can also do this. I have this interest in MQL4 programming. I learned a lot from AlgoTrading101. It is very difficult to figure out how.

I have now created my own special advisor that works as I expected. This expert advisor has been trading for the past 3 weeks and his account balance has grown exponentially from $500 to $10,000. This is an incredible achievement, however there is still room for improvement. Thanks to Lucas, AlgoTrading101. Guidance from him is greatly appreciated.”

Bad Pronunciation - Leif Atle Lund (3.5 stars)

(Video) The Do's and Don't's of Quant Trading

"Good course, a little bad language pronunciation, save for the subtitle."

FEAR!!!!!!!!! - Jimmy Pais (5 stars)

“I've been taking online courses about the program for months and I don't have a good idea for the project. Now yes, thanks to Lucas's Algo Trading course.

It breaks down the MQ4 syntax and makes it very readable for any beginner who has never been exposed to programming.

Honestly, I'm looking forward to taking the tools Lucas taught me and applying them to the real world. 5 STARS my friend!!"

Far from Ready - Gregory Potylchansky (3 stars)

"I haven't finished the course yet, so my assessment may change once I'm done. The instructor does a good job of teaching the absolute fundamentals of building a robot, but I'm not ready to build my own trading system.

The instructor seems very interested in helping his students. I'll update when I'm done with the lesson."

Personal message to Lucas - Henko

This is one of the most value for money courses I have ever taken and I have never felt bored for a single moment. You seem to have a lot of insight and are very analytical.

So far, I think I should have given you more than 100% rating for this course, but unfortunately that's not possible. Thank you for organizing this course. It sounds like you put a lot of effort and experience into the training and the information is very complete and every part feels very necessary and valuable to me.

You are also honest and I like that. Sellers tend to count only the good parts and this creates misconceptions and crazy unrealistic expectations.”

Excellent course if you are determined to learn - Shaun Chew (5 stars)

"Very suitable for non-programmers who want to try algorithmic trading. This course is easy to follow, with lots of detailed and practical examples, which is much more than other MOOCs I've taken. A very useful skill for those with other work obligations .

I've seen people blame online courses for not giving them the results they want, and I would argue that there is no course that can fuel you until you're profitable.

With hours and hours of practicing the course material, along with my own research, I went from not knowing how to code to finally being able to build my own trading bots in a matter of weeks. Thank you Lucas for this lesson!”

Excellent Crash Course for Beginners - Carlos La Borde (5 stars)

"... now I can correctly understand why no single strategy will be completely successful, why you need to tweak, adapt and create new ones over time, how to properly test for robustness, what to avoid and how to kill off new ideas.

I'm still starting, but I'd really like to thank you, because I'm sure I wouldn't have gotten where I've gotten (avoiding so many easy pitfalls and being able to create and test strategies) without this path.”

FULL of nuggets of valuable information - Neal Aggarwal (5 stars)

“I have been trading for over 15 years, developing many algorithms and yet I find this course FULL of valuable information.

Using it as a starting point for further research through Investopedia, google and others made it even better!”

MT4 has no real support and where is the backtester - David (1 star)

"no real help"

None Come Close - Steve Bray (5 stars)

“I've completed a few algorithmic EA courses and none come close to this one.

Lucas doesn't assume students know everything about EA coding, he explains every aspect in detail so you leave with a great understanding.

Thank you Lucas, I've enjoyed the ride so far and look forward to continuing my journey."

Suitable for non-Metatrader 4 strategies - Pontus Lagerberg (5 stars)

"Very comprehensive course! It gave me so much more in practical terms than reading some books on algorithmic trading.

Highly recommended even if you want to trade instruments or strategies not available in metatrader 4 as the programming theories and fundamentals in this course are highly applicable."

LUCAS IS AMAZING. SERIOUSLY. I tell you why. - Fund Reymidas (5 Stars)

“Lucas has an amazing ability to teach difficult concepts like position sizing, auto trading in a step-by-step graphical approach.

The guy has math, high technology and imagination to teach easily to laymen and beginners. I want to be like him.

PS: the course is excellent. Now for (lecture) 42 . I stopped to write this review. You won't regret it if you're a beginner with basic programming knowledge."

Thanks Lucas - Iyad Atallah (5 stars)

"Excellent, excellent course! The instructor explains everything very well, step by step, and I highly recommend taking the course or any course from this instructor.

I asked him many questions, he answered them all. Thank you Lucas"

(Video) Harnessing Sentiment and WallStBets for Algorithmic Trading - Plug and Play Alternative Data


What is an example of a quant trading? ›

Consider the case of a trader who believes in momentum investing. They can choose to write a simple program that picks out the winners during an upward momentum in the markets. During the next market upturn, the program will buy those stocks. This is a fairly simple example of quantitative trading.

What is the quant trade model? ›

Quantitative trading is a type of market strategy that relies on mathematical and statistical models to identify – and often execute – opportunities. The models are driven by quantitative analysis, which is where the strategy gets its name from. It's frequently referred to as 'quant trading', or sometimes just 'quant'.

What is an example of a quantitative strategy? ›

Some examples include growth, momentum, market cap, and value. The mathematical model scores each stock according to these factors and then uses the aggregate score to rank each of them; Systematic global macro strategies seek to identify countries and regions with favorable fundamentals.

What are the fundamentals of quantitative trading? ›

A quantitative trading system consists of four major components:
  • Strategy Identification - Finding a strategy, exploiting an edge and deciding on trading frequency.
  • Strategy Backtesting - Obtaining data, analysing strategy performance and removing biases.

Who is the most famous quant trader? ›

Jim Simons is a renowned mathematician and investor. Known as the "Quant King," he incorporated the use of quantitative analysis into his investment strategy. Simons is the founder of Renaissance Technologies and its Medallion Fund.

What are the three types of quants? ›

They are all essential positions within the financial community, but have very different characteristics regarding perceived importance, levels of pay and career progression.
  • Quantitative Trader. ...
  • Quantitative Researcher. ...
  • Financial Engineer. ...
  • Quantitative Developer.

What are the three types of quant strategies? ›

Types of Quantitative Trading Strategies
  • Momentum Strategies.
  • Mean Reversion Strategies.
  • Market Making Strategies.
  • Intra-day Momentum or Day Trading Strategies.

Why do quant traders make so much money? ›

Because of the challenging nature of the work—which needs to blend mathematics, finance, and computer skills effectively—quant analysts are in great demand and able to command very high salaries.

How do you create a quant trading strategy? ›

If you are interested in building your own quantitative trading system, here are four general steps to get started.
  1. Identify your strategy. The first step is to identify your trading strategy. ...
  2. Backtest your strategy. ...
  3. Implement your strategy. ...
  4. Risk management.
Jan 20, 2023

What are 5 examples of quantitative method? ›

Quantitative data collection methods include various forms of surveys – online surveys, paper surveys, mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations.

What are 5 example of quantitative analysis? ›

Examples of quantitative analysis

Closed-ended questionnaires and surveys. Historical financial reports. Random sampling. Large scale data-sets.

What is the most typical form for quantitative strategies? ›

Surveys are the easiest, most common, and one of the most sought-after quantitative research techniques. The main aim of a survey is to widely gather and describe the characteristics of a target population or customers. Surveys are the foremost quantitative method preferred by both small and large organizations.

What are the four 4 main kinds of quantitative designs? ›

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research.

Can you do quantitative trading on your own? ›

Can an Individual run a Quantitative Trading Strategy? Yes, an individual can. Software and data is cheap enough for a single person to run a quantitative trading strategy. However, a single person can't run a high-frequency trading strategy as the costs and technical requirements are too high.

What do quant traders actually do? ›

A quant trader is a specialized trader who applies mathematical and quantitative methods to evaluate financial products or markets. This way, they can find trading opportunities and calculate risks.

What is the highest paying quant trading firm? ›

Citadel/Citadel Securities is always near the top of the list for highest paying quant hedge funds that hire a large number of researchers and developers each year.

How much do quantitative traders make? ›

Quantitative Trading Salary
Annual SalaryMonthly Pay
Top Earners$186,000$15,500
75th Percentile$157,500$13,125
25th Percentile$75,500$6,291

Who is most successful traders of all time? ›

Top 10 Greatest Traders of All Time
  1. George Soros. George Soros, aka "the man who broke the Bank of England," was born a Jew in Hungary in 1930, survived the Holocaust, and fled the country then. ...
  2. Jesse Livermore. ...
  3. William Delbert Gann. ...
  4. Paul Tudor Jones. ...
  5. Jim Rogers. ...
  6. Richard Dennis. ...
  7. John Paulson. ...
  8. Steven Cohen.
Apr 20, 2023

What techniques do quants use? ›

Quants use mathematical skills learned from diverse fields such as computer science, physics and engineering. These skills include (but are not limited to) advanced statistics, linear algebra and partial differential equations as well as solutions to these based upon numerical analysis.

What are quant methods? ›

Definition. Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques.

How many hours do quants work? ›

On average, quants work for 60 hours a week or about 9 to 10 hours a day. Though, a career in the quant trading field is highly rewarding. A quant trader can expect lucrative salaries ranging from $125K to $500K.

What are the 3 quantitative techniques businesses use? ›

Quantitative analysis helps in evaluating performance, assessing financial instruments, and making predictions. It encompasses three main techniques of measuring data: regression analysis, linear programming, and data mining.

How do quants beat the market? ›

The funds are often considered to be a form of alternative investments because they are non-traditional by nature. Just like any other investment fund, quant funds aim to outperform the market by placing funds with liquid and publicly traded assets in a superior way.

What are quant algorithms for trading? ›

Quantitative trading attempts to predict market trends using mathematical and statistical models. In contrast, algorithmic trading attempts to profit from market movements using algorithms that automatically place trades based on predetermined rules.

Do you need a PhD to be a quant? ›

You don't need a PhD to become a quant.

How much does a quant trader make at Goldman Sachs? ›

How much does a Quantitative Trader make at Goldman Sachs in the United States? The estimated average pay for Quantitative Trader at this company in the United States is $94,601 per year, which is 34% below the national average.

Can quants make 8 figures? ›

Doing quant work without a pnl to your name will never get you 8 figures (okay I should never say never, but basically). It should be said, making 8 figures is extremely rare no matter what you do. Making 7 figures is rare enough. Heads of quant groups at investment banks and premier hedge funds are making low 7s.

What tools do quant traders use? ›

C++ and Java are the main programming languages used in trading systems. Quants often need to code in C++, in addition to knowing how to use tools like R, MatLab, Stata, Python, and to a lesser extent Perl.

How hard is it to break into quant trading? ›

Quant trading requires advanced-level skills in finance, mathematics and computer programming. Big salaries and sky-rocketing bonuses attract many candidates, so getting that first job can be a challenge. Beyond that, continued success requires constant innovation, comfort with risk and long working hours.

What programming language for quant trading? ›

Python, MATLAB and R

All three are mainly used for prototyping quant models, especially in hedge funds and quant trading groups within banks. Quant traders/researchers write their prototype code in these languages. These prototypes are then coded up in a (perceived) faster language such as C++, by a quant developer.

What is the best example of a quantitative measurement? ›

Quantitative measurements are those that are counted and expressed by a numeric value. Examples include the number of apples in a tree, the number of seeds in an apple, and the weight of the apple when it's ripe.

What are the 7 steps in the quantitative analysis approach? ›

Step of quantitative analysis process:
  • Method selection.
  • Sampling.
  • Solution presentation.
  • Sample pre treatment.
  • Analytic measurement.
  • Calculation of analytic result.
  • Statistic evaluation of the result.

What is quantitative analysis in trading? ›

Quantitative analysis (QA) in finance is an approach that emphasizes mathematical and statistical analysis to help determine the value of a financial asset, such as a stock or option.

How do I become a quant analyst? ›

Here are the steps you can take to become a quantitative analyst:
  1. Earn a bachelor's degree in a finance-related field.
  2. Learn important analytics, statistics and mathematics skills.
  3. Gain your first entry-level quantitative analyst position.
  4. Consider certification.
  5. Earn a master's degree in mathematical finance.

What are the two most commonly used quantitative analysis method? ›

The two most commonly used quantitative data analysis methods are descriptive statistics and inferential statistics.

Which method is best for quantitative analysis? ›

Cross-tabulation: Cross-tabulation is the most widely used quantitative data analysis methods. It is a preferred method since it uses a basic tabular form to draw inferences between different data-sets in the research study. It contains data that is mutually exclusive or have some connection with each other.

What is the most popular tool used in quantitative research? ›

Quantitative Analysis Guide: Which Statistical Software to Use?
  • SPSS.
  • Stata.
  • SAS.
  • R.
  • JMP.
  • Python.
  • Excel.
Jan 24, 2023

What are the 7 characteristics of quantitative research? ›

7 Characteristics of Quantitative Research Methods
  • Contain Measurable Variables. ...
  • Use Standardized Research Instruments. ...
  • Assume a Normal Population Distribution. ...
  • Present Data in Tables, Graphs, or Figures. ...
  • Use Repeatable Method. ...
  • Can Predict Outcomes. ...
  • Use Measuring Devices.
Jan 3, 2015

What are the 6 kinds of quantitative research? ›

  • Descriptive Quantitative Design for Your Research. ...
  • Correlational Quantitative Research Design. ...
  • Quasi-Experimental Quantitative Research Design. ...
  • Experimental Quantitative Research Design. ...
  • (Causal) Comparative Research Design.

What skills do you need to be a quant trader? ›

If someone wants to become a quant trader, the following skills will be needed:
  • Innovative mindset. Established models are good, but strong quants look at the competition and the algorithms with a mindset of making them better. ...
  • Programming. ...
  • Number crunching. ...
  • Risk-taking. ...
  • Trading concepts.
Feb 15, 2023

Can quants make millions? ›

While the highest earning quants among those working with financial firms can definitely make millions in a year or a couple of years, it is not that easy for quants who chose to trade for themselves. Not all of them make money from trading, let alone making millions. Some even lose their trading capital.

What data do quant traders use? ›

Quantitative trading consists of trading strategies based on quantitative analysis, which rely on mathematical computations and number crunching to identify trading opportunities. Price and volume are two of the more common data inputs used in quantitative analysis as the main inputs to mathematical models.

What is the difference between an algo trader and a quant trader? ›

Algorithmic (algo) traders use automated systems that analyse chart patterns then open and close positions on their behalf. Quant traders use statistical methods to identify, but not necessarily execute, opportunities. While they overlap each other, these are two separate techniques that shouldn't be confused.

Is quantitative trading stressful? ›

Quantitative traders may perform in stressful and time-sensitive situations, and in order to thrive in this role, they may benefit from performing well under pressure and being willing to work long hours.

What is an example of quant? ›

Some basic examples of quantitative data include: Weight in pounds. Length in inches. Distance in miles.

How hard is quant trading? ›

Quant trading requires advanced-level skills in finance, mathematics and computer programming. Big salaries and sky-rocketing bonuses attract many candidates, so getting that first job can be a challenge. Beyond that, continued success requires constant innovation, comfort with risk and long working hours.

How do quant traders make money? ›

Quants mostly make use of price and volume data; they research the available data to identify profitable trading opportunities and then create relevant trading strategies to capitalize on those opportunities using self-developed computer programs.

What is the top salary for a quant trader? ›

Quantitative Trading Salary
Annual SalaryHourly Wage
Top Earners$186,000$89
75th Percentile$157,500$76
25th Percentile$75,500$36

How much do top quant traders make? ›

Quantitative Trader Salaries
Job TitleSalary
Citadel Quantitative Trader salaries - 4 salaries reported$257,528/yr
DV Trading Quantitative Trader salaries - 4 salaries reported$207,533/yr
HAP Capital Quantitative Trader salaries - 4 salaries reported$196,794/yr
17 more rows

What are the different types of quant? ›

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research.

How many hours a day do quant traders work? ›

On average, quants work for 60 hours a week or about 9 to 10 hours a day. Though, a career in the quant trading field is highly rewarding. A quant trader can expect lucrative salaries ranging from $125K to $500K. Additionally, there are attractive bonuses for well-doing quant traders.

Can you do quant trading by yourself? ›

Can an Individual run a Quantitative Trading Strategy? Yes, an individual can. Software and data is cheap enough for a single person to run a quantitative trading strategy. However, a single person can't run a high-frequency trading strategy as the costs and technical requirements are too high.

How long does it take to learn quant trading? ›

It is often said that it takes 5-10 years to learn sufficient material to be consistently profitable at quantitative trading in a professional firm. However the rewards are significant. It is a highly intellectual environment with a very smart peer group. It will provide continuous challenges at a fast pace.

How much does a quant trader earn first year? ›

The salaries of Quantitative Traders in the US range from $37,167 to $795,786 , with a median salary of $178,046 . The middle 57% of Quantitative Traders makes between $178,050 and $383,324, with the top 86% making $795,786.

What is the average return on quant trading? ›

Greater than 40% annual return last two years auto trading live account
% Net Profit706.1%
Average Monthly Profits %4.13%
Average Yearly Profits %49.55%
Drawdown %-29.71%
Drawdown Date16/09/2021
12 more rows


1. How I Became A Quant 3/1/2017
(Berkeley Haas)
2. SMB Quant (002): “Democratization of Trading” with Paul Tunney from CloudQuant
(SMB Capital)
3. QuantInsti - Implement Algo Trading coded in Python using Interactive Brokers API
(Interactive Brokers)
4. The Art and Science of Algorithmic Futures Trading · Kyle Schultz
(Chat With Traders)
5. "Automated Trading Secrets" - Martyn Tinsley | Trader Interview
(Etienne Crete - Desire To TRADE)
6. The 7 Reasons Most Machine Learning Funds Fail Marcos Lopez de Prado from QuantCon 2018


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