Python Algo Trading Modules

Understanding Python: Overview & History

Introduction to Python, its history, variables, data types, lists, tuples, dictionaries, and control flow.

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Python Libraries for Finance

Explore important finance-related Python libraries like Pandas, Xlwings, Pyotp, Datetime, Matplotlib, and Requests.

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Foundations and Basic Operations

Learn about file handling, function creation, end-to-end code for automatic buy/sell, debugging, and code optimization.

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APIs to Connect Different Brokers

Detailed understanding of Kite Connect, Zerodha API, App setup, login flow, and Shoonya API for broker integration.

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Data Management & Analysis

Topics include downloading historical data, back-testing, live and EOD market scanners, and streaming live tick data.

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Trading Tools & Integration

Covers order management, risk management, trading from Excel, cross-broker order placements, and Python code for trading strategies.

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Advanced Development Tools

Building a data downloader, ready-made function library, developing a profitable algo trading mindset, live data into Excel, Option Chain Analysis Tool, and multiple order placement strategies.

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Back Testing for Converting Strategy into Profit

Calculating number of trades, profit/loss days, analyzing drawdowns, yearly drawdown, weekday profit analysis, and assessing profitability ratio.

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Setting Up a Server on the Cloud

Overview of Cloud Server with GCP (Google Cloud Platform) and end-to-end cloud setup.

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Strategy Development & Mindset

Writing end-to-end algos for live trading and backtesting, and cultivating a profitable trading mindset.

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Understanding Python: Overview & History Topics

S/N	Topic
1	Introduction & Setup
2	Variables & Data Types (int, float, str, bool, None)
3	Lists & Operations, Tuples & Usage
4	Dictionaries & Methods
5	Control Flow (For & While Loops, Logical Operators)
6	Python in Finance (Libraries & Algorithms)
7	Important Finance-related Python Libraries

Python Libraries for Finance Topics

S/N	Topic
8	Pandas, Dataframe
9	Xlwings - Reading & writing data from Excel
10	Pyotp
11	Built-in libraries
12	Many other related libraries
13	Datetime
14	Matplotlib
15	Requests, etc.

Foundations and Basic Operations Topics

S/N	Topic
16	File Handling and Function Creation
17	All Code Files which we have made.
18	End-to-End Code (Fully Automatic Buy/Sell)
19	Python Debugger for Testing Code
20	Optimization of Python Code for Improved Results

APIs to Connect Different Brokers Topics

S/N	Topic
22	Kite Connect, Zerodha API (end to end)
23	App setup & login flow.
24	Shoonya API (end to end)

Data Management & Analysis Topics

S/N	Topic
25	Downloading Historical Data from Various Sources
26	Back-Testing on Historical Data
27	Live & End-Of-Day (EOD) Market Scanners
28	Streaming Live Tick Data

Trading Tools & Integration Topics

S/N	Topic
29	Order Management and Risk Management Tools with Algo Trading and Trade Reporting
30	Trading from Excel, Receiving Signals from Excel
31	Cross Broker Order Placements (Integration)
32	Python Code for Trading Based on Candlestick Patterns, Pivot Point Levels

Advanced Development Tools Topics

S/N	Topic
33	Building a Data Downloader
34	Ready-made Function Library
35	Developing a Profitable Algo Trading Mindset
36	Running Live Data into Excel
37	Option Chain Analysis Tool
38	Multiple Order Placement & Exit Strategies
39	Algos based on Indicators, Price Action, Candle Patterns, Time and Scalping

Back Testing for Converting Strategy into Profit Topics

S/N	Topic
40	Calculating Number of Trades
41	Calculating Profit Days, Loss Days
42	Checking Different Parameters
43	Analysing Drawdowns, Maximum Loss or Profit in a Single Trade
44	Analysing Yearly Drawdown
45	Weekday Profit Analysis
46	Assessing Profitability Ratio

Setting Up a Server on the Cloud Topics

S/N	Topic
47	Cloud Server overview with GCP (Google Cloud Platform)
48	Cloud Setup (End to End)

Strategy Development & Mindset Topics

S/N	Topic
50	Writing End-to-End Algos for Live Trading and Back testing
51	Cultivating a Profitable Trading Mindset for the Upcoming Years

All Algorithm Python Course Topics

Introduction & Setup
Variables & Data Types (int, float, str, bool, None)
Lists & Operations, Tuples & Usage
Dictionaries & Methods
Control Flow (For & While Loops, Logical Operators)
Python in Finance (Libraries & Algorithms)
Important Finance-related Python Libraries
Pandas, Dataframe
Xlwings - Reading & writing data from Excel
Pyotp
Built-in libraries
Many other related libraries
Datetime
Matplotlib
Requests, etc.
File Handling and Function Creation
All Code Files which we have made.
End-to-End Code (Fully Automatic Buy/Sell)
Python Debugger for Testing Code
Optimization of Python Code for Improved Results
Kite Connect, Zerodha API (end to end)
App setup & login flow.
Shoonya API (end to end)
Downloading Historical Data from Various Sources
Back-Testing on Historical Data
Live & End-Of-Day (EOD) Market Scanners
Streaming Live Tick Data
Order Management and Risk Management Tools with Algo Trading and Trade Reporting
Trading from Excel, Receiving Signals from Excel
Cross Broker Order Placements (Integration)
Python Code for Trading Based on Candlestick Patterns, Pivot Point Levels
Building a Data Downloader
Ready-made Function Library
Developing a Profitable Algo Trading Mindset
Running Live Data into Excel
Option Chain Analysis Tool
Multiple Order Placement & Exit Strategies
Algos based on Indicators, Price Action, Candle Patterns, Time and Scalping
Calculating Number of Trades
Calculating Profit Days, Loss Days
Checking Different Parameters
Analysing Drawdowns, Maximum Loss or Profit in a Single Trade
Analysing Yearly Drawdown
Weekday Profit Analysis
Assessing Profitability Ratio
Cloud Server overview with GCP (Google Cloud Platform)
Cloud Setup (End to End)
Writing End-to-End Algos for Live Trading and Back testing
Cultivating a Profitable Trading Mindset for the Upcoming Years

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