Algorithmic Trading using Angel One's Smartapi

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Mayank Rasu

8:29:32

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1. Introduction

1. Angel One Intro & Account Set Up.mp4

04:33

2. Referral Code (Thank You For Your Support).html

3. Creating SmartAPI Trading App.mp4

05:11

4. Available Resources.mp4

08:07

5. Anaconda Python Distribution (Optional).mp4

08:24

6. Creating Virtual Environment (Optional).mp4

09:59

7.1 authentication.zip

7. Authentication & Creating Trading Session.mp4

11:51

8. Enabling TOTP Based Login (Mandatory for SmartAPI).mp4

06:07

9.1 authentication.zip

9. TOTP Based Authentication.mp4

07:49

2. Historical Data

1.1 token_lookup.zip

1. Instrument Token Lookup.mp4

12:11

2.1 hist_data_function.zip

2. Generic Historical Data Function.mp4

10:13

3.1 hist_data_fixed_duration.zip

3. Extracting Historical Data Without using Dates.mp4

10:34

4.1 hist_data_extended.zip

4. Getting Historical Data Over Extended Duration.mp4

15:08

5.1 hist_data_multiple_tickers.zip

5. Extracting Historical Data for Multiple Tickers.mp4

05:40

3. Technical Indicators

1. Technical Indicators - Intro.mp4

04:40

2. MACD - Intro.mp4

10:17

3.1 macd.zip

3. MACD - Implementation.mp4

15:36

4.1 ema_macd.zip

4. MACD Implementation Using Custom EMA.mp4

14:47

5. ATR & Bollinger Bands - Intro.mp4

10:31

6.1 bollinger_band.zip

6. Bollinger Bands Implementation.mp4

05:53

7.1 atr.zip

7. ATR Implementation.mp4

07:02

8. RSI - Intro.mp4

04:06

9.1 rsi.zip

9. RSI Implementation.mp4

09:18

10. Stochastic - Intro.mp4

06:42

11.1 stochastic.zip

11. Stochastic Implementation.mp4

06:02

4. Streaming Real Time Data

1. Websocket vs HTTP connection.mp4

06:45

2.1 streaming_intro.zip

2. Implementing Streaming Data Function.mp4

16:50

3.1 token_string_generation.zip

3. Streaming Multiple Tokens.mp4

06:30

4.1 parsing_ticks.zip

4. Filtering Ticks.mp4

04:13

5. Order API

1. Intro to the Order API.mp4

09:10

2.1 basic_orders.zip

2. Placing Limit & Market Orders.mp4

08:35

3.1 cancel_orders.zip

3. Cancelling Orders.mp4

04:42

4.1 modify_orders.zip

4. Modifying Orders.mp4

07:35

5.1 open_orders.zip

5. Getting Order Book.mp4

09:51

6. Advanced Order API

1.1 stop_loss_orders.zip

1. Stop Loss Orders.mp4

09:21

2.1 ltp.zip

2.2 stop_loss_orders_ltp.zip

2. Getting LTP for Advanced Orders.mp4

07:33

3.1 robo_orders.zip

3. BracketRobo Orders.mp4

08:14

4. Bracket Orders - Follow Up.mp4

05:45

5.1 gtt_orders.zip

5. GTT (Good Till Triggered) Orders.mp4

07:17

6.1 gtt_orders_modify_cancel.zip

6. Modifying and Cancelling GTT Rules.mp4

06:01

7. Live-Testing Order Book Based Strategy

1. Order Book Based Strategies.mp4

07:06

2. Live Testing Order Book Strategy - I.mp4

11:10

3. Live Testing Order Book Strategy - II.mp4

17:58

4. Live Testing Order Book Strategy - III.mp4

07:05

5.1 order_book_livetesting.zip

5. Live Testing Order Book Strategy - IV.mp4

13:27

6. Single Thread Architecture - Drawback.mp4

04:07

7. Multi Threading in Python - Intro.mp4

14:49

8. Implementing Multi Threading for Live Testing.mp4

04:32

9. KPIs for Live Testing - I.mp4

10:07

10.1 order_book_livetesting_kpi.zip

10. KPIs for Live Testing - II.mp4

08:32

8. Backtesting ORB Strategy

1. What & Why of Backtesting.mp4

02:30

2. Backtesting - Intraday KPIs Intro.mp4

02:14

3. Open Range Breakout Strategy.mp4

06:34

4. ORB Backtesting Approach.mp4

03:54

5. ORB Backtesting Implementation - I.mp4

06:47

6. ORB Backtesting Implementation - II.mp4

10:42

7.1 orb_bktst.zip

7. ORB Backtesting Implementation - III.mp4

20:06

8.1 orb_bktst_kpi.zip

8. ORB Backtesting KPI Calculation.mp4

13:24

9. Deploying Strategy in Live Market

1. Deploying ORB Strategy - I.mp4

08:57

2. Deploying ORB Strategy - II.mp4

03:36

3.1 orb_strategy.zip

3. Live Trading Demo.mp4

02:52

Description

Implement algorithmic trading strategies on Angel One's platform

What You'll Learn?

Algorithmic Trading
Angel One SmartAPI
API Trading
AWS EC2

Who is this for?

Traders looking to automate their strategies on Angel One's platform

Anyone interested in Algorithmic trading in the Indian market

More details

Description
Angel One is a leading stock broker in India providing free API access. I have created this course based on feedback from my existing students who were not happy about the monthly API charges levied by Zerodha. Angel One's SmartAPI provides the same set of functionality provided by any other brokers through their RESTful APIs and by the end of this course you will be highly conversant with this API and should be able to design and deploy your fully automated strategies on Angel One's platform.
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Design and deploy trading strategies on Angel One's SMARTAPI platform. Automate every step of your strategy including authentication, extracting data, performing technical analysis, generating signals, risk management etc. Gain a thorough understanding of Restful APIs and smartapi python wrapper. Learn how to deploy your strategies on cloud.
You can expect to gain the following skills from this course
API trading
Harnessing streaming tick level data
Incorporating technical indicators using python
backtesting and live testing your strategy
End to End strategy design and deployment
AWS EC2
Sqlite database management

Course Prerequisites
Basic Python proficiency (Should be familiar with python data types, data structures, loops, functions etc...basic stuff)
Access to Angel One's demat/trading account
High school level mathematical proficiency
Familiarity with trading/investing in the Indian market.
Who this course is for:
Traders looking to automate their strategies on Angel One's platform
Anyone interested in Algorithmic trading in the Indian market

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Algorithmic Trading

Mayank Rasu

Instructor's Courses

I have authored and published bestselling courses and books on finance and technology. I have a passion for simplifying seemingly complex topics such as algorithmic trading, machine learning, artificial intelligence and make them accessible to students with no technology/finance background.I have more than a decade of experience working with global investment banks in the quantitative analysis/risk management areas. My work experience has made me a firm believer in taking data driven decisions while always being mindful of the qualitative aspects of my job. I did my undergraduate education in engineering and earned MBA and MFE degrees. I see myself as a life long learner and I deeply cherish the opportunity of sharing my knowledge with others.

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