This course was created with the
course builder. Create your online course today.
Start now
Create your course
with
Autoplay
Autocomplete
Previous Lesson
Complete and Continue
The Python Trading Bot Bootcamp
Introduction
About the course structure (5:20)
Being rich = hard work (4:03)
The free and perfect tools (6:39)
The non-existent automatic trading psychology
Our editor: Atom (3:35)
Version control: Github (6:34)
Python download (Mac) (4:51)
Python download (Windows) (2:27)
The Incomplete Trading Bot (2:50)
Python Basics for Trading
Introduction (3:29)
Python Libraries (4:50)
Iterators: for (8:21)
Iterators: while (7:31)
Conditionals: if & else (9:44)
Logic gates: and & or (9:00)
Error handling: try & except (9:23)
Functions and calls to libs (13:01)
Objects and classes (1) (10:02)
Objects and classes (2) (7:03)
Debugging the code (12:03)
Closing and wrapup (0:59)
Trading Basics
Introduction (2:57)
Fundamental vs Technical analysis (4:26)
Stocks vs CFDs (4:57)
Long and Short positions (4:23)
Take Profit & Stop Loss (2:56)
Set a real Stop Loss (8:26)
Limit and Market orders (9:47)
Don't forget the spread (3:50)
Stock data visualization: candles (8:04)
Technical indicators: about (4:39)
Exponential Moving Average (8:07)
EMA use and interpretation (6:29)
Relative Strength Index (7:17)
Stochastic Oscillator (8:53)
Closing and wrapup (1:15)
Bot General Structure
Introduction (2:21)
Overview (8:04)
The Entry Strategy (0:01)
About Tradingview (12:13)
When to enter (1) (7:57)
When to enter (2) (8:05)
Open and hold a position (11:55)
Closing a position (7:33)
Review (1) (13:25)
Review (2) (6:14)
Closing (1:38)
Github Basics
Introduction (4:29)
Download and install Github (1:08)
Create a repo (10:20)
Working with branches (12:48)
Building your Bot
Introduction (4:32)
Create the first bot file (7:06)
Building the code scheme (7:35)
Complete your code scheme (1) (10:50)
Complete your code scheme (2) (10:35)
Complete your code scheme (3) (18:12)
A logger to remember (1) (13:34)
A logger to remember (2) (14:16)
Organize your code (7:22)
Main function: run bot (23:53)
Link the bot and the library (8:07)
Traderlib control functions (1) (11:54)
Traderlib control functions (2) (13:02)
Check if tradable function (5:41)
Set stoploss function (10:28)
Set take profit function (4:21)
Load historical data function (0:39)
Get open positions function (4:08)
Submit & cancel order functions (3:59)
Check positions function (8:59)
The Tulipy libraries (6:33)
Importing all the libraries (2:58)
First filter: get general trend (18:33)
Second filter: get instant trend (14:13)
Third filter: RSI (7:34)
Fourth filter: Stochastic Oscillator (13:56)
Run function scheme clarification and rebuild (12:50)
Enter position (1) (12:30)
Enter position (2) (11:06)
Enter position (3) (14:34)
Enter position (4) (7:42)
Last check before opening (13:15)
Exit position and get out (9:45)
Linking everything (1) (11:49)
Linking everything (2) (7:35)
Linking everything (3) (16:00)
Fixing a mistake: going Short (4:47)
Handling all your variables (18:01)
Closing and wrapup (0:50)
Integrating the Broker API
Introduction (2:34)
The Alpaca Python API Wrapper (7:28)
Initializing the REST API (9:07)
Running the program (crash!) (5:39)
Integration with check account (1) (7:54)
Integration with check account (2) (5:05)
Clean open orders function (9:56)
Importing the trading library (3:56)
Running the main (5:18)
Check position function (8:56)
Check if asset exists function (7:30)
Fetching barset data (theory) (7:01)
Fetching barset data (practice) (12:25)
A bit of a bummer :(
Updating the code for the Alpaca API V2 (explanation) (3:03)
Updating the code for the Alpaca API V2 (implementation) (7:58)
Organizing data with Pandas (5:37)
Get general trend function (1) (8:02)
Reframing the timeframe with Pandas (23:16)
Get general trend function (2) (12:40)
Get instant trend function (8:29)
Get RSI function (6:01)
Get Stochastic function (9:47)
Get current price function (5:01)
Finshing get shares amount (9:13)
Opening a position (1) (11:36)
Opening a position (2) (8:51)
Check the open position (6:55)
Cancelling the order (1) (19:58)
Cancelling the order (2) (7:33)
Making sure we cancelled (3:29)
Get average entry price function (9:48)
Fixing bugs when getting price (18:28)
Check Stochastic crossing (2:29)
Holding an open position (11:04)
Submitting the exit order (8:06)
Closing position and out (1) (7:57)
Closing position and out (2) (10:21)
Closing and wrapup (1:18)
Running the Trading Bot
Introduction (3:21)
Filtering asset by price and volume (6:30)
Get the bot ready to trade (3:47)
Running the trading bot with AAPL (8:52)
A real open position (8:08)
Debugging and bug fixing (11:40)
Fixing one (last) bug (1:46)
Running the bot with TSLA (9:31)
Discussing EMA implementations (11:42)
The Trading Bot is yours
Closing and wrapup (2:23)
Complete your code scheme (1)
Complete and Continue
course builder. Create your online course today.
Start now
course builder. Create your online course today.
Start now
course builder. Create your online course today.
Start now