Object-Oriented Programming (OOP) for Algorithmic Trading in Python 10/100 Days

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Welcome to 100 Days of Hell with Python Algo Trading – Day 10!

Today we are 10% of the way into this century, which means that we have understood many important Python Algorithmic Trading concepts. In the previous session, we learned:

What is a Constructor Function

The importance of the self keyword

The Golden Rule of OOP: “Only objects can access the methods and attributes of a class”

Today we will understand these concepts a little more deeply and then unlock the power of Python’s Magic Methods (also known as Dunder Methods) – which are especially useful for Quantitative Traders.

Previous Session – Quick Review

Object-Oriented Programming

Whenever we create an object of a class, the Constructor Function (__init__) is automatically run.

The self keyword acts as a link between the methods and variables of the class.

And yes, remember the Golden Rule: “Only objects can access the methods and properties of a class.”

For example:

class TradingStrategy:

def __init__(self, symbol, amount):

self.symbol = symbol

self.amount = amount

When we create the object:

momentum = TradingStrategy(“ETH”, 3000)

Here the momentum object is automatically passed as self.

Is self necessary?

A question that often comes up is: can we write something else instead of self?

Yes! self is just a name. You can write it as symbol, strategy, or anything else if you want, but according to the convention, it is better to keep it as self in Python.

What are Magic Methods (Dunder Methods)?

There are some methods in Python that start and end with double underscores – such as __init__, __str__, __repr__, etc. These are called Magic Methods.

The power of Magic Methods:

  • They do not require an explicit call to run.
  • You can define the behavior of your custom objects.
  • For example, if you want to add two trade objects (Addition), you can define the __add__ magic method.

Example of Magic Method – with Trade Objects

Class Trade:
def __init__(self, symbol, quantity, price):
self.symbol = symbol
self.quantity = quantity
self.price = price

def __repr__(self):
return f”Trade({self.symbol}, {self.quantity}, {self.price})”

def __add__(self, other):
if self.symbol == other.symbol:
total_qty = self.quantity + other.quantity
avg_price = (self.price + other.price) / 2
return Trade(self.symbol, total_qty, avg_price)
otherwise:
return “Symbols don’t match!”

How to use:

t1 = Trade(“BTC”, 1, 70000)
t2 = Trade(“BTC”, 2, 71000)
t3 = t1 + t2
print(t3)
# Output: Trade(BTC, 3, 70500.0)

The list of Magic Methods includes:

__init__ – Constructor

__str__ – readable string form of the object

__repr__ – dev-friendly representation of the object

__add__, __sub__, __mul__ – mathematical operator overloading

__len__, __getitem__, __setitem__ – Collection-like behaviour

Watch this Day 10 video tutorial

Day 10 : Object-Oriented Programming Part – 2

1. What is the main reason to use tuples instead of lists in algorithmic trading?

2. Which of the following is true for tuples in Python?

3. How can tuples be beneficial when handling multiple returns from a function in algo trading?

4. What is the best way to unpack a tuple containing trading data (open, high, low, close) into separate variables?

5. How would you store and access high-frequency trading timestamps and prices efficiently?

6. In the context of tuples, what does the following operation result in: (3,)*4?

7. Why would a tuple be used over a list for storing a static list of regulated trading hours?

8. Given a tuple data = (100, 200, 300), how can you iterate over it and print each element multiplied by 2?

9. Which option correctly merges two tuples (1, 2, 3) and (4, 5, 6) into a single tuple?

10. How would you convert the tuple (50, 60, 70) to a list in Python?

11. For algo trading, when is it advantageous to use a tuple to store a strategy’s configuration constants like risk factors and leverage ratios?

12. How can you efficiently count the number of times the price ‘120’ appears in a tuple of prices?

13. What is the output of (‘Hi!’,)*3 in Python?

14. If you need to temporarily convert a tuple of asset IDs to a list to perform a deletion, which method is most appropriate?

15. Given trades = ((12345, ‘AAPL’, 150), (67890, ‘GOOG’, 300)), how do you access the symbol ‘AAPL’?

16. Which of the following operations is invalid with tuples in Python?

17. How can tuples help in multi-threaded trading algorithms?

18. What is the result of comparing two tuples (1, 2, 3) and (1, 2, 4) using

19. Why might you use a tuple as a key in a dictionary in an algo trading system?

20. Which method can you use to add elements to a tuple that contains trading days of the week?






 

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