Algorithmic Trading with Python Complete Course

سرفصل های دوره

Most Comprehensive Algorithmic Trading Course

1. Introduction

1. Introduction to Algorithmic Trading

2. Brokers and APIs

3. Setting up Environment

4. Introduction to Python Tools

2. Python for Data Science

1.1 1. arithmetic.zip

1. Arithmetic Operations in Python

2.1 2. data types.zip

2. Data Types

3.1 4. variables.zip

3. Variables

4.1 5. lists.zip

4. Intro to Lists

5. Lists 2

6. Lists 3

7.1 6. tuples-and-strings.zip

7. Tuples

8. Strings 1

9. Strings 2

10.1 7 dictionaries & sets.zip

10. Dictionaries

11. Sets

3. Python Pandas

1.1 1. pandas intro.zip

1.2 AAPL historical data.csv

1.3 bank data.csv

1.4 daily.csv

1.5 data.csv

1.6 IPL.csv

1.7 minute.csv

1.8 missing.csv

1.9 tick.csv

1.10 titanic.csv

1. Introduction to Pandas

2.1 2. pandas series part 1.zip

2. Pandas Series Part 1

3.1 3. pandas series part 2.zip

3. Pandas Series Part 2

4.1 4. pandas series unique.zip

4. Pandas Series Unique

5.1 5. sorting a series.zip

5. Pandas Series Sorting

6.1 6. dataframes intro.zip

6. Introduction to DataFrames

7.1 7 data from csv file.zip

7. Accessing csv files

8.1 8. data inspection.zip

8. Data Inspection

9.1 9. dataframes index.zip

9. Dataframe Indexing

10.1 10. dataframe filter.zip

10. Dataframe Filter

11.1 11. indexing in dataframes.zip

11. Dataframe Indexing Part 2

12.1 12. position based index iloc.zip

12. Position based indexing using iloc

13.1 13. index based slicing iloc.zip

13. Dataframe Slicing using iloc

14.1 14. label based slicing using loc.zip

14. Label based Slicing using loc

15.1 15. loc with numeric index.zip

15. Loc with numeric index

16.1 16. reset index.zip

16. Reset Index

17.1 17. rename columns.zip

17. Rename Columns

18.1 18. conditional filter.zip

18. Conditional Filter

19.1 19. advanced filter dataframe.zip

19. Advanced Filter

20.1 20. handling missing values - part 1.zip

20. Missing Values Part 1

21.1 21. handling missing values - part 2.zip

21. Missing Values Part 2

22.1 22. groupby.zip

22. Group By

4. Downloading Financial Data

1.1 23. introduction to time series data.zip

1. Intro to Time Series

2.1 27 downloading data yfinance api.zip

2. Downloading Data yfinance API

3.1 24. convert string to datetime column.zip

3. String to Datetime

5. Financial Data Analysis using Python

1.1 25. slice time series data.zip

1. Slice Time Series Data

2.1 28. pivot.zip

2. Pivot DataFrame

3.1 26. resample.zip

3. Resample DataFrame

4.1 29. data normalization.zip

4. Data Normalization

6. Financial Returns

1.1 30. calculate price changes.zip

1. Calculate Price Changes

2.1 31. calculate financial returns.zip

2. Calculate Financial Returns

3.1 32. risk vs reward.zip

3. Risk vs Returns

4.1 33. tvpi or multiples.zip

4. TVPI

5.1 34. cagr vs annual returns.zip

5. CAGR

6.1 35. geometric returns.zip

6. Geometric Returns

7.1 36. simple vs compound interest.zip

7. Simple vs Compound Interest

8.1 37 continuous compounding.zip

8. Continuous Compounding

9.1 38. intro to log returns.zip

9. Intro to log Returns

10.1 39. daily returns vs log returns.zip

10. Daily Return vs Log Returns

11.1 40. more about log returns.zip

11. More About Log Returns

7. Important Concepts in Stock Market

1. Instruments for Trading

2. Common Terms in Stock Market - I

3. Common Terms in Stock Market -II

4. Derivatives Risk

5. Intro to Futures

6. Intro to Options

8. Broker API Zerodha Kite Connect

1. Creating Kite Connect App

2.1 login - manual process.zip

2. Manual Login

3.1 access.txt

3.2 security.txt

3.3 selenium kite connect login new.zip

3. Automatic Login using Selenium

4.1 databaselogin.zip

4.2 download instruments.zip

4.3 instruments.zip

4. Downloading Instruments

5.1 daily+ohlc.zip

5.2 databaselogin.zip

5.3 download historical data.zip

5. Download Historical OHLC Data

6.1 databaselogin.zip

6.2 place+orders+using+api.zip

6.3 zerodha+orders+management.zip

6.4 zerodha+wrapper+class.zip

6. Place and Manage Orders

7.1 databaselogin.zip

7.2 other important functions.zip

7. Other Important Functions

8. Introduction to Kite Ticker

9.1 database.zip

9.2 tick.zip

9.3 tick+data+table.zip

9. Downloading Realtime Tick Data

10.1 option chain.zip

10. Option Chain Data

11.1 alarm.wav

11.2 databaselogin.zip

11.3 moniter+prices.zip

11.4 monitor+stock+price.zip

11. Get Price Alerts

9. Technical Analysis

1. Introduction to Technical Indicators

2.1 moving averages.zip

2.2 nifty.csv

2. Moving Averages

3.1 macd.zip

3. Moving Average ConvergenceDivergence (MACD)

4.1 bollinger bands.zip

4. Bollinger Bands

5.1 atr.zip

5. Average True Range (ATR) Part 1

6. Average True Range (ATR) Part 2

7.1 rsi.zip

7.2 rsi.zip

7. Relative Strength Indicator (RSI) Part 1

8. Relative Strength Indicator (RSI) Part 2

9. Introduction to Supertrend

10.1 Super+Trend.xlsx

10. Supertrend using Google SheetsExcel

11.1 supertrend.zip

11. Supertrend using Python

12. Introduction to Renko

13.1 minute.csv

13.2 renko+-+brick+size.zip

13. Renko using Brick Size

14.1 renko atr display.zip

14. Visualize Renko Chart with ATR

15. Introduction to ADX

16.1 ADX.xlsx

16. ADX using Google SheetExcel

17.1 adx.zip

17. ADX using Python

10. Price Action

1. Introduction to Price Action

2. About Candlesticks

3. Support and Resistance

4. Introduction to Pivot Points

5.1 infy2023.csv

5.2 infy5min.csv

5.3 pivot point.zip

5. Pivot Points with Python

11. Strategy Development

1. Introduction to Strategy Development

2.1 mydatabase.zip

2.2 OHLCNifty.csv

2.3 sma+crossover+strategy+basic.zip

2. SMA Strategy Backtesting

3.1 sma+optimal+strategy.zip

3. Strategy Optimization

4.1 Supertrend.zip

4. Supertrend + MACD Strategy Part 1

5. Supertrend + MACD Strategy Part 2

12. Cloud VPS Deployment

1. Introduction to VPS

2. Virtual Private Server Deployment & Scheduling

3. Accessing strategy from VPS using a browser

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تولید کننده: Udemy