The Complete Python Trading Bot Bootcamp (2024 Edition)

سرفصل های دوره

Algorithmic Trading on QuantConnect: Master Backtesting and Live Trading with Over 290 Practical Examples

1. Python essentials Python tutor introduction

1.1 Python essentials Python tutor introduction PPT.pptx

1. Introduction to Python tutor

2.1 Example code.txt

2. Example 1 How to use Python tutor for code execution visualization

3. Example 2 How to run code in Python tutor without code execution visualization

2. Python essentials Basic object types

1.1 Python essentials Basic object types PPT.pptx

1. Introduction

2. Strings

3. Integers and floats

4.1 Boolean example.txt

4. Booleans

5. Important things to remember about basic object types

3. Python essentials Variables

1.1 Intro slide.txt

1.2 Python essentials Variables PPT.pptx

1. Introduction

2.1 Quick example of how to use variables to perform mathematical operations.txt

2. Quick example of how to use variables to perform mathematical operations

3.1 Important 1.txt

3. Important 1 Variable names cannot have spaces

4.1 Important 2.txt

4. Important 2 Variable names cannot have spaces but string objects can

5.1 Important 3.txt

5. Important 3 Python is case sensitive

6.1 Important 4.txt

6. Important 4 Variable names do not need to reflect what they contain

7.1 Important 5.txt

7. Important 5 Replacing variables

8.1 Important 6.txt

8. Important 6 Replacing with another variable and inheriting what it contains

9.1 Important 7.txt

9. Important 7 Variable names can contain but cannot start with numbers

10.1 Important 8.txt

10. Important 8 Variable names cannot contain special characters

11.1 Important 9.txt

11. Important 9 Variable names cannot be the same as function names

12.1 Important 10.txt

12. Important 10 Variable names can be the same as the string they contain

4. Python essentials Print function

1.1 Python essentials Print function PPT.pptx

1. Introduction

2. Example 1 Print Hello world! from a variable

3. Example 2 Print Hello world! directly

4. Definition of debugging

5. Important note about spaces

6.1 First print function code.txt

6.2 Second print function code.txt

6. Upsides and downsides of print function

5. Python essentials Manipulating strings

1.1 Python essentials Manipulating strings PPT.pptx

1. Introduction

2. What are methods in relation to functions

3.1 Example 1.txt

3. Example 1 lower() method

4.1 Example 2.txt

4. Example 2 upper() method

5.1 Example 3.txt

5. Example 3 Adding strings

6.1 Example 4.txt

6. Example 4 Multiplying strings

7.1 Example 5.txt

7. Example 5 Replacing strings after mathematical operation

8.1 Example 6.txt

8. Example 6 Compounding strings

9.1 Example 7.txt

9. Example 7 Converting integer string to integer

10.1 Example 8.txt

10. Example 8 Converting float string to float

11. What are iterable objects

12.1 Example 9.txt

12. Example 9 len() function

13. What is indexing

14.1 Example 10.txt

14. Example 10 Index first character from string

15.1 Example 11.txt

15. Example 11 Index last character from string

16.1 Example 12.txt

16. Example 12 Index fourth character from string

17.1 Example 13.txt

17. Example 13 Index fourth to last character from string

18.1 Example 14.txt

18. Example 14 Index a character that does not exist

19. What is slicing

20. What are parameters

21.1 Example 15.txt

21. Example 15 Slice a string without its first character

22.1 Example 16.txt

22. Example 16 Slice a string without its last character

23.1 Example 17.txt

23. Example 17 Slice a string without its first and last character

24.1 Example 18.txt

24. Example 18 Same as example 17 but with steps of 2

25.1 Example 19.txt

25. Example 19 Slicing the first 4 characters of a string

26.1 Example 20.txt

26. Example 20 Slice a string from the 4th to last index onward

27.1 Example 21.txt

27. Example 21 Slicing indexes that are not in the string

28. Important things to remember about slicing

6. Python essentials Manipulating integers and floats

1.1 Python essentials Manipulating integers and floats PPT.pptx

1. Introduction

2. Whats the modulo operator

3.1 Example 1.txt

3. Example 1 10 % 3

4.1 Example 2.txt

4. Example 2 17 % 7

5.1 Example 3.txt

5. Example 3 21 % 8

6. Whats floor division

7.1 Example 4.txt

7. Example 4 10 3

8.1 Example 5.txt

8. Example 5 18 5

9. Compounding integers and floats

10.1 Example 6.txt

10. Example 6 Compound with addition

11.1 Example 7.txt

11. Example 7 Compound with subtractions

12.1 Example 8.txt

12. Example 8 Compound with multiplications

13.1 Example 9.txt

13. Example 9 Compound with divisions

14.1 Example 10.txt

14. Example 10 Compound with exponent

15.1 Example 11.txt

15. Example 11 Compound with modulo

16.1 Example 12.txt

16. Example 12 Compound with floor division

17.1 Example 13.txt

17. Example 13 Shortcut to compounding

18.1 Example 14.txt

18. Example 14 Convert integer or float into a string

19.1 Example 15.txt

19. Example 15 Convert integer or float into a string and add it to another string

20.1 Example 16.txt

20. Example 16 Convert float to integer

21.1 Example 17.txt

21. Example 17 Convert integer to float

22.1 Example 18.txt

22. Example 18 Getting the absolute value of an integer or float

23.1 Example 19.txt

23. Example 19 Multiplying an integer with a float

24.1 Example 20.txt

24. Example 20 Multiplying an integer with an integer

25.1 Example 21.txt

25. Example 21 Multiplying a float with a float

26. Rules to remember when multiplying integers and floats

27. Operator precedence

7. Python essentials Manipulating booleans and Conditional statements

1.1 Boolean and conditional statements PPT.pptx

1.2 Example on Boolean slide.txt

1. Introduction

2.1 Example 1.txt

2. Example 1 Check if integer 10 is greater than integer 5

3.1 Important information about indentation 1.txt

3.2 Important information about indentation 2.txt

3.3 Important information about indentation 3.txt

3. Important information about indentations

4.1 Important things to know about conditional statements 1.txt

4.2 Important things to know about conditional statements 2.txt

4. Important information about conditional statements

5. Introduction to nested if statements

6.1 Example 2.txt

6. Example 2 Single nested if statement

7.1 Example 3.txt

7. Example 3 Multiple nested if statements

8.1 Example 4.txt

8. Example 4 Line after multiple nested if statements

9. Introduction to if...else statements

10.1 Example 5.txt

10. Example 5 else after if

11.1 Example 6.txt

11. Example 6 ifelse statements nested within another

12. Introduction to if...elif statements

13.1 Example 7.txt

13. Example 7 1 set of ifelif statements

14.1 Example 8.txt

14. Example 8 if...elif statements but both return False

15.1 Example 9.txt

15. Example 9 Multiple elif statements following an if statement

16.1 Example 10.txt

16. Example 10 Multiple elif statements following an if statement but...

17. Introduction to if...elif...else statements

18.1 Example 11.txt

18. Example 11 ifelifelse

19. Introduction to logical operators

20.1 Example 12.txt

20. Example 12 Adding an and operator to an if statement

21.1 Example 13.txt

21. Example 13 Adding an or operator to an if statement

22.1 Example 14.txt

22. Example 14 and and or operators within 1 if statement

23. Introduction to pass statement

24.1 Example 15.txt

24. Example 15 pass statement after if statement

25. Important note on pass statement

8. Python essentials Code comments

1.1 Python essentials Code comments PPT.pptx

1. Introduction

2.1 Example 1.txt

2. Example 1 ifelifelse statements with comments

3. How else is the # symbol useful

4.1 Example 2.txt

4. Example 2 Using the # symbol to comment out code for debugging

5. Shortcut to commenting code

9. Python essentials Lists

1.1 Python essentials Lists PPT.pptx

1. Introduction

2. How to add an object to a list

3.1 Example 1.txt

3. Example 1 Add an object to a list

4.1 First example.txt

4.2 Second example.txt

4. Important notes about adding objects to lists

5. How to check if an object is in a list

6.1 Example 2.txt

6. Example 2 Use the in operator to check if an object is in a list

7. How to check if an object is not in a list

8.1 Example 3.txt

8. Example 3 Use not in to check if an object is not inside a list

9. How to remove everything from a list

10.1 Example 4.txt

10. Example 4 Remove everything from a list

11. How to remove a specific object from a list

12.1 Example 5.txt

12. Example 5 Use remove() to remove an object from a list

13.1 Important things to remember about the remove() method 1.txt

13.2 Important things to remember about the remove() method 2.txt

13. Important notes about the remove() method

14. How to count the number of objects in a list

15.1 Example 6.txt

15. Example 6 Use len() to count the number of objects in a list

16. How to sum the integers and floats in a list

17.1 Example 7.txt

17. Example 7 Use sum() to sum integers and floats in a list

18. How to find the integerfloat with the highest value in a list

19.1 Example 8.txt

19. Example 8 Use max() to find the integerfloat that has the highest value in a l

20. How to find the integerfloat with the lowest value in a list

21.1 Example 9.txt

21. Example 9 Use min() to find the integerfloat that has the lowest value in a li

22. How to index a list

23.1 Example 10.txt

23. Example 10 Retrieve second object from a list using its index

24.1 Example 11.txt

24. Example 11 Retrieve second to last object from a list using its index

25. Important note about indexing lists

26.1 Example 12.txt

26. Example 12 Check length of list before indexing

27. How to slice a list

28.1 Example 13.txt

28. Example 13 Slice first 3 objects from list

29.1 Example 14.txt

29. Example 14 Slice last 3 objects from list

30. How to replace a list with its sliced section

31.1 Example 15.txt

31. Example 15 Replacing original list with its sliced section

32.1 Example 16.txt

32. Example 16 Shortcut to replacing original list with its sliced section

33. What are for loops

34.1 Example 17.txt

34. Example 17 Basic for loop

35.1 Example 17 - simplified.txt

35. Example 17 - simplified

36. Illustration of for loops

37. For loop in layman terms

38. Important things to remember about for loops 1

39. Important things to remember about for loops 2

40.1 Important things to remember about for loops 3.txt

40. Important things to remember about for loops 3

41.1 Important things to remember about for loops 4.txt

41. Important things to remember about for loops 4

42.1 Important things to remember about for loops 5.txt

42. Important things to remember about for loops 5

43.1 Example 18.txt

43. Example 18 Practical example of for loop

44. What is the continue statement

45.1 Example 19.txt

45. Example 19 for loop with continue statement

46. What is the break statement

47.1 Example 20.txt

47. Example 20 for loop with break statement

48. What is the range() function

49.1 Example 21.txt

49. Example 21 range()

50. How to use range() and len() to loop through multiple lists

51.1 Example 22.txt

51. Example 22 Loop through indexes of multiple lists

52. Important note about using range() and len() to loop through multiple lists

53. What is a nested for loop

54.1 Example 23.txt

54. Example 23 Nested for loop

55. Important things to remember about nested for loops 1

56.1 Important things to remember about nested for loops 2.txt

56. Important things to remember about nested for loops 2

57. What happens when we have break statements in nested for loops

58.1 Example 24.txt

58. Example 24 break statement in inner loop

59.1 Example 25.txt

59. Example 25 break statement in outer loop

10. Python essentials Dictionaries

1.1 Python essentials Dictionaries PPT.pptx

1. Introduction

2.1 Important things to remember about dictionaries 1.txt

2. Important things to remember about dictionaries 1

3.1 Important things to remember about dictionaries 2.txt

3. Important things to remember about dictionaries 2

4.1 Important things to remember about dictionaries 3.txt

4. Important things to remember about dictionaries 3

5.1 Important things to remember about dictionaries 4.txt

5. Important things to remember about dictionaries 4

6.1 Important things to remember about dictionaries 5.txt

6. Important things to remember about dictionaries 5

7. How to retrieve a value from a dictionary

8.1 Example 1.txt

8. Example 1 Retrieve a value from a dictionary

9. How to add a keyvalue pair to a dictionary

10.1 Example 2.txt

10. Example 2 Add a keyvalue pair to an empty dictionary

11. How to replace the value of an existing key with a different value

12.1 Example 3.txt

12. Example 3 Replace value of existing key

13. How to check if a key is in a dictionary

14.1 Example 4.txt

14. Example 4 If key in dictionary, print value

15. How to check if a key is not in a dictionary

16.1 Example 5.txt

16. Example 5 If key not in dictionary, print key not in dictionary

17. How to remove everything from a dictionary

18.1 Example 6.txt

18. Example 6 Remove everything from a dictionary

19. How to remove an existing keyvalue pair from a dictionary

20.1 Example 7.txt

20. Example 7 Remove keyvalue pair from dictionary

21.1 Example 8.txt

21. Example 8 Check if key in dictionary before removing keyvalue pair

22.1 Example 9.txt

22. Example 9 Remove a keyvalue pair that doesnt exist in a dictionary

23. How to run a for loop on a dictionary

24.1 Example 10.txt

24. Example 10 for loop through dictionary and print each key

25. How to retrieve the value of each key during a for loop on a dictionary

26.1 Example 11.txt

26. Example 11 Retrieve value of each key during for loop of dictionary

27.1 Example 12.txt

27. Example 12 Removing keyvalue pairs during for loop of dictionary

28.1 Example 13.txt

28. Example 13 Retrieve latest price of AAPL from list inside dictionary

29.1 Example 14.txt

29. Example 14 Retrieve last 2 objects from list inside dictionary

30.1 Example 15.txt

30. Example 15 Add object to list inside dictionary

31.1 Example 16.txt

31. Example 16 Remove last 2 objects from list inside dictionary

32. How to sort a dictionary based on its values in ascending order

33.1 Example 17.txt

33. Example 17 Sort dictionary in ascending order

34. How to sort a dictionary based on its values in descending order

35.1 Example 18.txt

35. Example 18 Sort dictionary in descending order

36. How to convert the keys of a dictionary into a list

37.1 Example 19.txt

37. Example 19 Retrieve top 2 stocks from dictionary after sorting in descending or

11. Python essentials Functions

1.1 Python essentials Functions PPT.pptx

1. Introduction

2.1 Example 1.txt

2. Example 1 Function with no input parameters and returns nothing

3. Important notes about function names

4. How to create a function with no input parameters and returns something

5.1 Example 2.txt

5. Example 2 Function with no input parameters and returns a single object

6.1 Example 3.txt

6. Example 3 Function with no input parameters and returns 2 objects

7. What are global and local variables

8.1 Example 4.txt

8. Example 4 Global and local variable

9. How to create a function with input parameters and it returns nothing

10.1 Example 5.txt

10. Example 5 Function with 1 input parameter and returns nothing

11. Important things to remember when creating functions with input parameters 1

12. Important things to remember when creating functions with input parameters 2

13. Important things to remember when creating functions with input parameters 3

14.1 Example 6.txt

14. Example 6 Function with 2 input parameters and returns nothing

15. Important things to remember Functions with multiple input parameters

16.1 Example 7.txt

16. Example 7 Reference parameters when inputting function inputs

17.1 Example 8.txt

17. Example 8 Function with 2 input parameters and returns a single object

12. Python essentials Objects

1.1 Python essentials Objects PPT.pptx

1. Introduction

2. What is an object

3. How to create objects

4.1 Example 1.txt

4. Example 1 Create a car factory class

5.1 Example 2.txt

5. Example 2 Create an object with class from example 1

6. Important note about inputting object attributes

7.1 Example 3.txt

7. Example 3 Reference the attributes of object created in example 2

8. What is the self keyword

9.1 Example 4.txt

9. Example 4 Same as example 3 but without the self keyword behind each attribute

10.1 Example 5.txt

10. Example 5 Create a new method

11. Why add the self keyword to method definitions

12.1 Example 6.txt

12. Example 6 Run accelerate() method outside of its class

13.1 Example 7.txt

13. Example 7 Run accelerate() method inside of its class

14. Important things to take note about objects 1

15. Important things to take note about objects 2

16. Important things to take note about objects 3

17.1 Example 8.txt

17. Example 8 Variation to example 6

18. Key points to remember from this chapter

13. Python essentials Tuples

1.1 Python essentials Tuples PPT.pptx

1. Introduction

2.1 Example 1.txt

2. Example 1 Create a tuple

3.1 Example 2.txt

3. Example 2 Create a tuple that stores different object types

4.1 Example 3.txt

4. Example 3 Index first object in tuple

5.1 Example 4.txt

5. Example 4 Index last object in tuple

6. Why learn about tuples

14. Python essentials Libraries

1.1 Python essentials Libraries PPT.pptx

1. Introduction

2. How to request QuantConnect to add libraries

3. What is QuantConnects research notebook

4. Important settings for your QuantConnect account

5. How to open up QuantConnects research notebook

6. Introduction to research notebook

7. How to import a library

8.1 Important 1.txt

8. Important note 1

9.1 Important 2.txt

9. Important note 2

10. Important note 3

15. Python essentials Libraries - statistics

1.1 Python essentials Libraries - statistics PPT.pptx

1. Introduction

2.1 Example 1.txt

2. Example 1 mean() function from the statistics library

3.1 Example 2.txt

3. Example 2 stdev() function from the statistics library

16. Python essentials Libraries - datetime

1.1 Python essentials Libraries - datetime PPT.pptx

1. Introduction

2. What are datetime objects

3.1 Example 1.txt

3. Example 1 Create datetime object that represents the time now

4.1 Example 2.txt

4. Example 2 Reference the attributes of a datetime object

5.1 Example 3.txt

5. Example 3 Reference the day of the week represented by a datetime object

6. How to create a datetime object

7.1 Example 4.txt

7. Example 4 Create datetime object for 300 pm, 7th of December 2021

8. How to compare datetime objects

9.1 Example 5.txt

9. Example 5 Compare 2 datetime objects

10. What is the timedelta() function

11.1 Example 6.txt

11. Example 6 Add 10 hours to datetime object

12.1 Example 7.txt

12. Example 7 Subtract 10 weeks and 5 seconds from datetime object

13.1 Example 8.txt

13. Example 8 Add 5 weeks and subtract 10 hours from current time

14.1 Example 9.txt

14. Example 9 Print message if datetime 1 is more than 5 minutes from datetime 2

17. Python essentials Libraries - pandas

1.1 Python essentials Libraries - pandas PPT.pptx

1. Introduction

2. What is an API

3. How to request for historical data

4. Step 1 Build a connection between research notebook and QuantConnect

5.1 Example 1.txt

5. Step 2 Request QuantConnect for access to data for a stock

6.1 Example 2.txt

6. Step 3 Request historical data for a stock

7. Introduction to QuantConnects API reference page

8. How to access the column of a dataframe

9.1 Example 3.txt

9. Example 3 Access column of dataframe using square brackets

10. How to access a specific value from a column

11.1 Example 4.txt

11. Example 4 Index first and last value from a column

12.1 Example 5.txt

12. Example 5 Use len() to count number of rows in dataframe before indexing

13.1 Example 6.txt

13. Example 6 Use len() to count number of values in a column before indexing

14. How to convert the column of a dataframe into a list

15.1 Example 7.txt

15. Example 7 Convert the column of a dataframe into a list

16. How to access a dataframes index

17.1 Example 8.txt

17. Example 8 Print index of dataframe

18. How to isolate the time index from a QuantConnect historical data dataframe

19.1 Example 9.txt

19. Example 9 Isolate time index

20. How to loop through a dataframe

21.1 Example 10.txt

21. Example 10 Loop through dataframe and print indexes

22.1 Example 11.txt

22. Example 11 Loop through dataframe and print time isolated indexes

23.1 Example 12.txt

23. Example 12 Loop through dataframe and print rows

24. How to access the values of each row during a for loop

25.1 Example 13.txt

25. Example 13 Access close prices of each row during a for loop

26. How to create a dataframe that has multiple columns

27.1 Example 14.txt

27. Example 14 Create pandas dataframe

28. How to create a dataframe that has only 1 column

29.1 Example 15.txt

29. Example 15 Dataframe with single column

30. Introduction to the methods of dataframes

31. How to find the average of a column

32.1 Example 16.txt

32. Example 16 Find average of a column

33. How to find the average of a selection of values from a column

34.1 Example 17.txt

34. Example 17 Find average of last 5 values of a column

35. How to find the sum of a column

36.1 Example 18.txt

36. Example 18 Find sum of a column

37. How to find the average of a row

38.1 Example 19.txt

38. Example 19 Find average of row

39. How to create a column that has the average of each row in the dataframe

40.1 Example 20.txt

40. Example 20 Column with mean of each row

41. How to create a column that has the average of select columns

42.1 Example 21.txt

42. Example 21 Column with mean of open, high, low and close columns

43. How to access historical data for multiple stocks

44.1 Example 22.txt

44. Example 22 Historical data for AAPL and TSLA

45. How to retrieve the historical data of a stock from a combined dataframe

46.1 Example 23.txt

46. Example 23 Retrieve historical data of AAPL from combined dataframe

47. How to code an indicator

48. Coding an SMA indicator

49.1 Example 24.txt

49. Example 24 30-period SMA

50. What are NaN values

51.1 Example 25.txt

51. Example 25 Count NaN values

52. Why does the SMA column have NaN values

53. What does it mean to warm up an indicator

54. Coding an EMA indicator

55.1 Example 26.txt

55. Example 26 10-period EMA

56. Coding a MACD indicator

57.1 Example 27.txt

57. Example 27 MACD with settings (12, 26, 9)

58. Tip on searching for indicator code to copy online

59. How to plot an indicator in QuantConnects research notebook

60.1 Example 28.txt

60. Example 28 Plotting SMAs

61. Why does the x-axis of the chart look messed up

62.1 Example 29.txt

62. Example 29 Fix x-axis of chart from example 28

63. Why is this the only chapter where well be plotting

64. How to utilize SMA crossovers to submit orders in the code

65.1 Example 30.txt

65. Example 30 Print index when fast SMA crosses above slow SMA

66. How does extended hours data affect indicators

67.1 Example 31.txt

67. Example 31 Request for historical data between 2 times

68.1 Example 32.txt

68. Example 32 Plot minute resolution SMAs with extended hours data

69.1 Example 33.txt

69. Example 33 Plot minute resolution SMAs without extended hours data

70. Why does the chart from example 32 look different from example 33

71. What is a historical data error

72.1 Example 34.txt

72. Example 34 Simulate historical data error

73. Why is historical data error a problem

74.1 Example 35.txt

74. Example 35 Check if stock Symbol string in dataframe index

18. Python essentials Try and except

1.1 Python essentials Try and except PPT.pptx

1. Introduction

2. What is try and except

3.1 Example 1.txt

3. Example 1 try and except

4. Important note about try and except

19. Python essentials Final tips

1.1 Python essentials Final tips PPT.pptx

1. Introduction

2.1 Tip 1.txt

2. Tip 1 Use finder to find spelling errors

3. Tip 2 Copy and paste

20. QuantConnect essentials Files

1.1 QuantConnect essentials Files PPT.pptx

1. Introduction

2. How to create a new Python file

3. Important note about backtesting and live trading

4. How to create a new research notebook

5. How to rename or delete a file

6. Rules on naming Python files and research notebooks

21. QuantConnect essentials Debugging

1.1 QuantConnect essentials Debugging PPT.pptx

1. Introduction

2. What are build errors

3. What are runtime errors

4. What are logic errors

5. What is QuantConnects debugger

6.1 Example 1.txt

6. Example 1 Using QuantConnects debugger

7.1 Example 2.txt

7. Example 2 An error occurs while debugging

8.1 Example 3.txt

8. Example 3 Inspect a variable while debugging

22. QuantConnect essentials Plans

1.1 QuantConnect essentials Plans PPT.pptx

1. Introduction

2. Limitations of QuantConnects free plan

3. What are the backtest nodes available on QuantConnect

4. The plan and backtest node I recommend

23. QuantConnect essentials Logs

1.1 QuantConnect essentials Logs PPT.pptx

1. Introduction

2. Important things to remember about logs

3.1 Example 1.txt

3. Example 1 Using self.Log() to print messages

4. Why use self.log() and not print()

5. Should we use self.log() or QuantConnects debugger to debug our code

24. QuantConnect essentials Basic template

1.1 QuantConnect essentials Basic template PPT.pptx

1. Introduction

2. The import

3. The object class

4. The initialize method

5. The on data method

6. Important things to remember about the on data method 1

7. Important things to remember about the on data method 2

8. Important things to remember about the on data method 3

25. QuantConnect essentials API support

1.1 QuantConnect essentials API support PPT.pptx

1. Introduction

2. QuantConnects API support system

3. Conclusion

26. QuantConnect essentials initialize method

1.1 QuantConnect essentials initialize method PPT.pptx

1. Introduction

2.1 Example 1.txt

2. Example 1 initialize

27. QuantConnect essentials Accessing data

1.1 QuantConnect essentials Accessing data PPT.pptx

1. Introduction

2. What are security objects

3.1 Example 1.txt

3. Example 1 Access close price

4.1 Example 2.txt

4. Example 2 Print close price

5.1 Example 3.txt

5. Example 3 Multiple stocks

6. What happens when you overload your account with backtests

7.1 Example 4.txt

7. Example 4 Accessing data from data Slice

8. Difference between accessing data in on data and the stocks security object

9.1 Example 5.txt

9. Example 5 ETFs

28. QuantConnect essentials Order management

1.1 QuantConnect essentials Order management PPT.pptx

1. Introduction

2. Market orders

3. Limit orders

4. What are tags

5. Important notes about orders 1

6. Important notes about orders 2

7. Important notes about orders 3

8. Important notes about orders 4

9.1 Example 1.txt

9. Example 1 Submit market order for SPY

10. Why did the trading bot from example 1 submit so many orders

11. How to prevent a trading bot from buying an asset once its invested in it

12.1 Example 2.txt

12. Example 2 Only buy SPY if not already invested

13.1 Example 3.txt

13. Example 3 Short SPY

14. What are the important attributes of the portfolio object

15.1 Example 4.txt

15. Example 4 Buy SPY using 50% of portfolio cash

16.1 Example 5.txt

16. Example 5 Buy SPY with margin

17.1 Example 6.txt

17. Example 6 Closing a long position

18.1 Example 7.txt

18. Example 7 Closing a short position

19.1 Example 8.txt

19. Example 8 Limit order

20. Why did the trading bot from example 8 submit so many limit orders

21. How to prevent more limit orders for an asset if 1 is already open

22.1 Example 9.txt

22. Example 9 Prevent repetitive limit orders for SPY

23. How to cancel a limit order that doesnt fill after a certain amount of time

24. What is trading bot time

25. How to reference trading bot time

26. Important note about order ticket time

27.1 Example 10.txt

27. Example 10 Cancel a limit order if its not filled after 5 minutes

28. How to update an order

29.1 Example 11.txt

29. Example 11 Update limit price and quantity if limit order not filled after 5min

30. How to change a limit order to a market order

31.1 Example 12.txt

31. Example 12 Change limit order to market order if its not filled after 5min

32.1 Example 13.txt

32. Example 13 Enter a long position if MACD is greater than MACD signal

33. How to allocate portfolio equally in a trading bot with multiple assets

34.1 Example 14.txt

34. Example 14 Invest equally in each asset

35. How to prevent repetitive limit orders in a trading bot with multiple assets

36.1 Example 15.txt

36. Example 15 Prevent repetitive limit orders

37.1 Example 16.txt

37. Example 16 Cancel limit orders if they dont fill after 5 minutes

38.1 Example 17.txt

38. Example 17 Update limit price of limit orders if they dont fill after 5min

39.1 Example 18.txt

39. Example 18 Change limit orders to market orders if they dont fill after 5min

40.1 Example 19.txt

40. Example 19 Limit order management with long and short orders

29. QuantConnect essentials Risk management

1.1 QuantConnect essentials Risk management PPT.pptx

1. Introduction

2. How to avoid breaching pattern day trading rules

3.1 Example 1.txt

3. Example 1 Prevent buying and selling (selling and buying) on the same day

4. How to deal with position risks

5.1 Example 2.txt

5. Example 2 Stop loss on long positions

6.1 Example 3.txt

6. Example 3 Stop loss on short positions

7.1 Example 4.txt

7. Example 4 Stop loss in a trading bot with both long and short positions

8.1 Example 5.txt

8. Example 5 Take profit and stop loss

9. What is trailing stop loss

10.1 Example 6.txt

10. Example 6 Trailing stop loss on long positions

11.1 Example 7.txt

11. Example 7 Trailing stop loss on short positions

12.1 Example 8.txt

12. Example 8 Trailing stop loss in a trading bot with long and short positions

13.1 Example 9.txt

13. Example 9 Take profit and trailing stop loss

30. QuantConnect essentials Scheduled events

1.1 QuantConnect essentials Scheduled events PPT.pptx

1. Introduction

2. How to create a scheduled event

3.1 Example 1.txt

3. Example 1 Log SPYs price at 931 am

4.1 Example 2.txt

4. Example 2 Log SPYs price at 915 am (pre-market hours)

5.1 Example 3.txt

5. Example 3 Log SPYs price at market close

6. Important note on scheduled events

7.1 Example 4.txt

7. Example 4 Log SPYs price during half-day trading days

8.1 Example 5.txt

8. Example 5 Schedule trading logic to run only after 10 am

9.1 Example 6.txt

9. Example 6 Only trade between 10 am and 11 am

10.1 Example 7.txt

10. Example 7 Collect data during regular hours, trade during after hours

11. Important note on how negative signs are applied to time rules object

12. How to schedule events on select days of the week

13.1 Example 8.txt

13. Example 8 Only trade on Tuesdays and Thursdays

14. Important note on which stockETF to use to schedule events

31. QuantConnect essentials Historical data

1.1 QuantConnect essentials Historical data PPT.pptx

1. Introduction

2.1 Example 1.txt

2. Example 1 Request historical data for AAPL

3.1 Example 2.txt

3. Example 2 Request historical data for multiple assets

4.1 Example 3.txt

4. Example 3 Buy if current price greater than price before start of backtest

5.1 Example 4.txt

5. Example 4 Same as example 3 but with daily close prices updated

6.1 Example 5.txt

6. Example 5 Same as example 4 but with historical data requests in on data

7. Why does the backtest for example 5 take so long to complete

8. Tips to speed up backtest if trading bot requires historical data

9.1 Example 6.txt

9. Example 6 Buy if current price greater than average of past 10 daily close

10. Why do we need to remove unnecessary data points that were storing

32. QuantConnect essentials Consolidating Data

1.1 QuantConnect essentials Consolidating Data PPT.pptx

1. Introduction

2. How to consolidate data

3.1 Example 1.txt

3. Example 1 Create 5-minute candlesticks for AAPL

4.1 Example 2.txt

4. Example 2 Entry orders in consolidated candlestick receiver and on data

5.1 Example 3.txt

5. Example 3 Buy if current price is greater than average of past 10 5min close

6. Why do we put the trading bots trading logic in on data

7. Problem with example 3

8. How to solve the problem from example 3

9.1 Example 4.txt

9. Example 4 Create consolidated candlesticks with historical data

10.1 Example 5.txt

10. Example 5 3 consolidated periods

11.1 Example 6.txt

11. Example 6 Example 5 with trading logic

12.1 Example 7.txt

12. Example 7 Warm up consolidators from example 6

13.1 Example 8.txt

13. Example 8 Same as example 7 but with different warm up resolutions

14. How to create consolidators for multiple assets

15.1 Example 9.txt

15. Example 9 Create consolidators for multiple assets

16.1 Example 10.txt

16. Example 10 Buy 1 share in consolidated candlestick receiver method

17. Why were 3 orders submitted per asset every 5 minutes from example 10

18.1 Example 11.txt

18. Example 11 Submit order for symbol of bar received in consolidated receiver

19.1 Example 12.txt

19. Example 12 Buy if current price is greater than average of past 10 cons close

20.1 Example 13.txt

20. Example 13 Warm up consolidators of multiple assets

21.1 Example 14.txt

21. Example 14 Multiple assets with multiple consolidated periods

22. Why did the error from example 14 occur

23.1 Example 15.txt

23. Example 15 Prevent orders from being submitted in initialize (during warm up)

33. QuantConnect essentials Built-in Indicators

1.1 QuantConnect essentials Built-in Indicators PPT.pptx

1. Introduction

2. How to tell if an indicator is a data point or bar indicator

3. Important notes about indicators

4.1 Example 1.txt

4. Example 1 Initialize MACD indicator

5.1 Example 2.txt

5. Example 2 Initialize RSI indicator

6.1 Example 3.txt

6. Example 3 Initialize ATR indicator

7.1 Example 4.txt

7. Example 4 Initialize OBV indicator

8.1 Example 5.txt

8. Example 5 Input moving average type setting for MACD

9.1 Example 6.txt

9. Example 6 Input moving average type setting for RSI

10. How to change data point type used in data point indicator calculations

11.1 Example 7.txt

11. Example 7 Update MACD with high prices instead of close prices

12.1 Example 8.txt

12. Example 8 Update BB (Bollinger Bands) with median instead of close prices

13. How to warm up a built-in indicator

14.1 Example 9.txt

14. Example 9 Warm up MACD

15.1 Example 10.txt

15. Example 10 Warm up MACD thats calculated with high prices

16.1 Example 11.txt

16. Example 11 Warm up ATR

17.1 Example 12.txt

17. Example 12 Warm up OBV

18. How to warm up multiple indicators

19.1 Example 13.txt

19. Example 13 Warm up MACD and RSI

20.1 Example 14.txt

20. Example 14 Warm up MACD, RSI and ATR

21.1 Example 15.txt

21. Example 15 Warm up MACD, RSI, ATR and OBV

22.1 Example 16.txt

22. Example 16 Initialize and warm up MACD for multiple assets

23.1 Example 17.txt

23. Example 17 Initialize and warm up MACD and ATR for multiple assets

24.1 Example 18.txt

24. Example 18 Initialize and warm up MACD, ATR and OBV for multiple assets

25. How do we use indicators

26.1 Example 19.txt

26. Example 19 MACD trading strategy

27.1 Example 20.txt

27. Example 20 MACD and RSI trading strategy

28.1 Example 21.txt

28. Example 21 MACD and RSI trading strategy for multiple assets

29. How to update indicators with consolidators

30.1 Example 22.txt

30. Example 22 Update MACD with 5-minute candlesticks

31.1 Example 23.txt

31. Example 23 Update MACD and RSI with 5-minute candlesticks

32.1 Example 24.txt

32. Example 24 Update MACD with 5min bars and ATR with 4hour bars

33.1 Example 25.txt

33. Example 25 Same as example 24 but with multiple assets

34. How to manually update an indicator with alternative data

35.1 Example 26.txt

35. Example 26 MACD updated with property prices

34. QuantConnect essentials Universe selection

1.1 QuantConnect essentials Universe selection PPT.pptx

1. Introduction

2. Fundamental reference table

3. on securities changed

4. Diagram on how universe selection and on securities changed work

5. Universe settings

6. When does universe selection happen

7. Important things to remember about universe selection

8.1 Example 1.txt

8. Example 1 Filter down penny stocks

9. Further explanation on how universe selection works

10.1 Example 2.txt

10. Example 2 Filter stocks of companies that operate in the semiconductor industry

11. Is there an easier way to sort through the fundamental reference table

12.1 Example 3.txt

12. Example 3 Filter based on revenue growth

13.1 Example 4.txt

13. Example 4 Filter top 5 companies in terms of revenue growth

14.1 Example 5.txt

14. Example 5 Filter stocks (current daily closing $ daily closing $ 15 days ago)

15. Important note on universe selection and historical data 1

16. Important note on universe selection and historical data 2

17.1 Example 6.txt

17. Example 6 Using 200-EMA to filter stocks

18.1 Example 7.txt

18. Example 7 Create SMA indicators for stocks entering the trading bot

19.1 Example 8.txt

19. Example 8 Updating indicators with consolidated data

20. Is it possible to unsubscribe an indicator

21. How to ensure that an asset passes universe selection

22.1 Example 9.txt

22. Example 9 Ensure that AAPL, TSLA and SPY get filtered down

23.1 Example 10.txt

23. Example 10 Adjust universe settings

24. Why does universe selection take so long

25. How to reduce frequency of universe selection

26.1 Example 11.txt

26. Example 11 Schedule universe selection to happen only on Sunday

27.1 Example 12.txt

27. Example 12 Universe selection with trading logic

28. Critical parts to have in universe selection 1

29. Critical parts to have in universe selection 2

30. Important note about universe selection

35. QuantConnect essentials Alternative data

1.1 QuantConnect essentials Alternative data PPT.pptx

1. Introduction

2. How to find a dataset

3. Important things to look at in a dataset

4. How to use Tiingo News Feed dataset

5.1 Example 1.txt

5. Example 1 Tiingo news with 1 stock

6.1 Example 2.txt

6. Example 2 Tiingo news with universe selection

36. QuantConnect essentials Coding your idea

1.1 QuantConnect essentials Coding your idea PPT.pptx

1. Introduction

2. What I do to understand my clients strategies

3. Introduction to template strategy outline

4. Introduction to strategy outline for example 1

5.1 Example 1.txt

5. Example 1 Momentum trading strategy

37. QuantConnect essentials Interpreting backtest results

1.1 QuantConnect essentials Interpreting backtest results PPT.pptx

1. Introduction

2. What is drawdown

3. Why is drawdown important

4. Why are win and loss averages important

5. Why are win rates important

6. My recommendation

38. QuantConnect essentials Tips & common mistakes

1.1 QuantConnect essentials Tips & common mistakes PPT.pptx

1. Introduction

2. Tip 1 Input clear descriptions before each line of code

3. Tip 2 Pay extra attention when working universe selection

4. Tip 3 Code your trading bot step-by-step

5. Common mistake 1 Using = instead of == when comparing 2 objects

6. Common mistake 2 Comparing indicator values incorrectly

7. Common mistake 3 Trailing stop loss and QuantConnect symbols

8. Common mistake 4 Comparing incorrectly with or keyword

39. QuantConnect essentials Live trading

1.1 QuantConnect essentials Live trading PPT.pptx

1. Introduction

2. Which live trading node should I get

3. How to launch a trading bot for live trading

4. The holdings tab

5. The orders tab

6. The insights tab

7. The logs tab

8. The code tab

9. How to stop a live trading bot

40. QuantConnect essentials Live trading notifications

1.1 QuantConnect essentials Live trading notifications PPT.pptx

1. Introduction

2. How to send email notifications

3. How to send SMS notifcations

4.1 Example 1.txt

4. Example 1 Send email and sms notifications when order submitted

41. QuantConnect essentials Interactive Brokers

1.1 QuantConnect essentials Interactive Brokers PPT.pptx

1. Introduction

2. Important point 1 IBKR Pro account

3. Important point 2 IB Key Security via IBKR Mobile

4. Important point 3 2FA prompt

5. Important point 4 IBKR paper trading account

6. Important point 5 Trading permissions

7. Important point 6 Live deployment login credentials

8. Important point 7 Number of concurrent logins

9. Important point 8 Weekly restarts

10. Important point 9 Allow limit orders to be filled during extended hours

11. Important point 10 Short availabilities

12. Important point 11 Daily server resets

13. Conclusion

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