Best Quantitative Trading Strategies
                     Best Quantitative Trading 
Strategies
What is quantitative trading?
Quantitative trading is the love child of Trading techniques, and the brilliant science computers  
have created for us. It is the math where the trends are calculated on the basis of how the markets  
have been behaving in the past with similar conditions. What the quantitative traders do is make a 
 model of the previous behavior of the market and then backtest in similar conditions.
Suppose the model predicts a similar pattern or a similar outcome in most of those hypothetical
situations. In that case, the same results are made the foundation stones of the speculations, which  
then drive the bets made in the market.
Quantitative analysis is a branch of computer science that deals with a lot of data and crunching  
it to find a pattern. Everything that we see around us. Every invention that has ever walked the  
face of the earth is because of this ability of the human brain—pattern-recognition.
We see a bacteria or a virus acting a specific way; we make a pattern out of it, and then we create  
a vaccine. Mentally, we have patterns too. The people who are going through a lot of stress. they  
develop a certain pattern in their day-to-day lives just to suppress that stress.
The doctors try and recognise this pattern and let the patients know so that they can get out of that
loop. Even up in the sky, we look at the stars and all of the heavenly bodies and make a pattern 
out  of those to understand things a little better.
Quantitative trading is the exact same thing. All it revolves around is pattern recognition. The  
traders don’t have to do that independently, but they deploy mathematical models to process  
historical data. The model is deployed in the real world once the backtesting has efficiently  
surpassed the harshest constraints.
Let us read more about quantitative trading:
Quantitative trading usually deals with large volumes of data, like the data of a hedge fund (the 
 data in the example of a hedge fund would be money).
Since there is so much data involved, every quant trader needs to have some basic knowledge of  
its terminologies.
Let us look at some thighs that can make every quant a better trader:
Understand the languages:
The programming languages like Python and React have their own single-handed impact on  
finance and quant trading. Python lets you create models in an IDE( integrated development  
environment).
Whereas React has more than applicable applications in the finance industry. Having an upper
hand in any of these two languages can let you become a better quant and will put you ahead of  
the crowd that is just trying to own the claims that they are a quant trader.
Be comfortable around math that sounds alien:
The math like stochastic calculation, optimisation techniques, and Fourier transforms along a  
couple of more hard names is what you will mostly see while you begin quantitative trading. This  
is not just math but, Engineering math, The kind of math that every quant trader should vary of.
As a quant trader, if you are looking for a job, then you will mostly be hired by banks given the  
fact that you have a doctorate degree in a specific and applicable science that the industry needs.  
This is because of the fact that the banks and big hedge funds need people who can teach  
themselves new math very easily.
Understand trading and trading strategies:
Being a math-head alone will not cut it. No matter how good of a programmer you are, how good  
of a mathematician you are, understanding the basics of trading and trading strategies is as  
important in quantitative trading as it is for any other form of trading; being able to work the  
strategies quickly can make you move up in the trader lot. Integration of math, Programming  
and trading strategies is what makes the best quant traders.
Why is there a need for quantitative trading?
Quantitative trading is something that basically keeps manual trading at bay for a number of  
reasons. When there is a fresh event in the market, the traders will study it and plan their trades  
accordingly. What if a method would do the same for you and even take positions on your 
behalf?  What if those positions were precise to the level of a CPU calculated approach?
That is the exact reason why Quant trading is needed. Quantitative trading is needed to make 
quick  decisions whenever the market is subjected to some sort of event or news.
Quantitative trading and the best quantitative trading strategies work perfectly for people who 
want  to time the market before the majority of traders around the globe can do that.
Can I personally run a quantitative trading strategy?
If you are thinking of building an HFT (high-frequency trading) strategy for yourself, you will 
face  goliath constraints under the names of equipment and infra costings.
With all those things being said, let us have a look at the 
 best quantitative trading strategies:
Alternative Data Strategy:
Quantitative trading is more than just reading the market. It is more about reading the consumer  
data. Different data poses different pictures. For example, if the people are buying more apple  
products then there can be a possibility of the firm seeing a better stock potential for that quarter.  
This is called an alternative data strategy: When the traders look at different data than the market  
data. Market data is more like how the firm has done in the past few years and how it will do in  
the next quarter or whatever the time window to study it is taken under consideration.
There are different data types that are analyzed in the alternate data trading strategy.  
These include
1. Weather data  
2. Consumer data 
3.  Location data.
There are different data types than these as well but these are the ones that are required to fulfill a  
good alternate data trading strategy.
The data is important, and hence, it plays hard to get. The hedge fund providers have to be part of
an online auction to hold any type of data. When they buy the data, this gives the institutions a 
step  ahead accelerator than a majority of traders because when it comes to data, you need to be 
creative  with the sources and keep changing them since you are looking at making trading 
decisions that  the masses have not yet completed, but will for sure make in the coming days or 
weeks.
Playing in smaller markets:
There are markets that have fewer people that trade on them and since that is the case, the  
competition is lower and the opportunity to make money is exponentially high.
Quants can build the best quantitative trading strategy in these markets because of the fact that  
there are a lot less people looking for entry and exit positions.
Since the number of people is less, there are many more opportunities for the system to calculate 
 a better entry and exit position for the quant. If this strategy is integrated with the alternative data 
 trading strategy then good results can be
seen.
For example, if there’s a new cryptocurrency in the market then the traders can deploy their 
trading  models around that crypto and earn as much as they want. All that depends on how 
dedicated the  trader is and how correctly has he or she programmed the model and how well is 
the execution in  the correct market.
Trade at a high frequency:
This is also called HFT or high-frequency trading. To be a high-frequency trader, the person 
needs  to be involved with a good trading firm. There are certain strategies that lie within the 
High-  frequency trading strategy:
Let us have a look at those: