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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)
Python Libraries
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