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COWS 00: Welcome to the Course
COWS-00.00 - Welcome to Crafting and Optimizing Winning Strategies Course
COWS 01: Getting Started and Installations
COWS 01 - Getting Started and Installations
COWS-01.01-What is Trading Strategy
COWS-01.02-Set-up
01.01 - Getting Started - Installations and basics
COWS-01.03-GetFundamentalDataFromYahoo
01.02-YFinance-Fundamental Data
COWS 02: Prerequisite - Python, Numpy, Pandas
02.01-PythonBasics
COWS-02.01-What is Python
COWS-02.02-Datatypes - Numeric-String
COWS-02.03-Datatypes - Lists
COWS-02.04-Datatypes - Dictionary Boolean Tupple Set
COWS-02.05-Comparison Operators Logic Operators Ifelif else
COWS-02.06-For loops - While Loops
COWS-02.07-List Comprehension Functions in Python
COWS-02.08-Recursive Functions
COWS-02.09-Lambda Expressions - Map Function - Filter Function - Methods
COWS-02.10 OOPS - Class - Object and Methods
02.02-Numpy
COWS-02.11 -numpy- What is Numpy - Dimensions in numpy
COWS-02.12 -numpy- Generate different types of ndarrays
COWS-02.13 -numpy- common Attributes and Methods
COWS-02.14 -numpy- Indexing Selection Broadcasting Copy Search
COWS-02.15 -numpy- Arithmetic and Universal Functions
02.03-Pandas-Basics
COWS-02.16 -Pandas-What is Pandas - how to connect google drive to read data in Pandas
COWS-02.17 -Pandas-How to get data into Pandas
COWS-02.18 -Pandas-Series
COWS-02.19 -Pandas-DataFrame - create df - selection in df
COWS-02.20 -Pandas-DataFrame - index
COWS-02.21 -Pandas-DataFrame - Missing Data and Group by
COWS-02.22 -Pandas-DataFrame - Merging Joining Concatenating
COWS-02.23 -Pandas-DataFrame - Misc functions and Pivot Tables
02.04-Python-Visualizations-matplotlib
COWS-02.24- Visualisations using Matplotlib
02.05-Python-Visualizations-Pandas
COWS-02.25- Visualisations using Pandas and Plotly
COWS 03: Crafting and Optimizing strategies for Investment
03.01 Basic Stock and Portfolio Analysis
COWS-03.01- Investments - Stock Analysis - Getting the data - cleaning the data
COWS-03.02- Investments - Stock Analysis - Comparing performance
COWS-03.03- Investments - Stock Analysis - Comparing daily returns
COWS-03.04- Investments - Stock Analysis - LogReturns Risk adjusted returns Sharpe Ratio
03.02 Portfolio Optimisation - What is CAPM & MPT
COWS-03.05- Investments - Introduction to CAPM and MPT
COWS-03.06- Investments - CAPM the Monte Carlo way
COWS-03.07- Investments - CAPM with scipy and Efficient frontier
COWS-03.08- Investments - CAPM and Alpha Beta of a stock
03.03 Portfolio Optimisation testing
COWS-03.09- Investments - CAPM - Backtesting - Set up and getting data
COWS-03.10- Investments - CAPM - Backtesting - Analyse past data with pyportfolioopt
COWS-03.11- Investments - CAPM - Backtesting - Overview of strategy building and returns posibilities
COWS-03.12- Investments - CAPM - Backtesting - strategy building in depth
COWS-03.13- Investments - CAPM - Backtesting - strategy performanc and parameters
COWS-03.14- Investments - HRP - Backtesting - HIerarchical Risk Parity Model
COWS-03.15- Investments - Dogs of Dow- Backtesting
03.04 Portfolio Optimisation get recommendation
COWS-03.16- Investments - Getting current investment opportunities for tested investment strategies
COWS 04: Coding your own Trading Indicators
04.01 Building Simple Indicators in python
COWS-04.01 - Indicators - Introduction to Backtesting libraries and preparation of data
COWS-04.02 - Indicators with base pandas - SMA EMA MACD
COWS-04.03 - Indicators with base pandas - Bolinger Bands & RSI
COWS-04.04 - Indicators with base pandas - ATR & Renko
COWS-04.05 - Indicators with base pandas - Supertrend
04.02 - Indicators using VectorBT
COWS-04.06 - Indicators with VectorBT - Installations and Introduction to Indicator Factory
COWS-04.07 - Indicators with VectorBT - How the indicators are built in VectorBT example ATR
COWS-04.08 - Indicators with VectorBT - building indicators using VectorBT and TaLib
COWS-04.09 - Indicators plotting with MPLFinance
COWS 05: Backtesting Indicator based Strategies
code - 05.01 - Backtesting - MA crossover - 01
COWS-05.01 - Indicators Backtesting - DMAC - 01 - Basic operations
code - 05.02 - Backtesting - MA crossover - 02
COWS-05.02 - Indicators Backtesting - DMAC - 02 - Hyperparameters with visualisation - demostration of visualisations
COWS-05.03 - Indicators Backtesting - DMAC - 02 - Hyperparameters with visualisation - Details on single combination analysis and plotting
COWS-05.04 - Indicators Backtesting - DMAC - 02 - Hyperparameters with visualisation - Details on multi combinations selection and heatmap
COWS-05.05 - Indicators Backtesting - DMAC - 02 - Hyperparameters with visualisation - Details on multi combinations automated running gif
code - 05.03 - Backtesting - MA crossover - 03 - To be used
** COWS-05.06 - Indicators Backtesting - DMAC - 03 - Hyperparameters - analysis template that could be used
code - 05.04 - Backtesting - 05 mins- MA crossover - 04 - To be used
** COWS-05.07 - Indicators Backtesting - DMAC - 04 - Hyperparameters - Analysis on 51 stocks combined portfolio of 5 min timeframe
code - 05.05 Simple RSI Strategy Backtesting
COWS-05.08 - Indicators Backtesting - RSI 01 - Basic RSI - portfolio value drawdown and impact of fee
code - 05.06 - RSI- hyperparameter
** COWS-05.09 - Indicators Backtesting - RSI 02 - RSI - Hyperparameter
code - 05.07 - SuperTrend- hyperparameter
COWS-05.10 - Indicators Backtesting - SuperTrend 01 Supertrent- Hyperparameter Setting and running
COWS-05.11 - Indicators Backtesting - SuperTrend 02 Supertrent- Hyperparameter Analysing Data
COWS-05.12 - Indicators Backtesting - Stop Loss types and levels - Set up define entries and exits for analysis
COWS-05.13 - Indicators Backtesting - Stop Loss types and levels - Analyse Entry exits for different Stop levels and types
COWS-05.14 - Indicators Backtesting - Stop Loss types and levels - Analyse Total Return for different Stop levels and types
code - 05.08 SL types and backtesting
COWS-05.15 - Indicators Backtesting - Stop Loss types and levels - Analyse Sharpe Ratio for different Stop levels and types - Analyse actual data for Supertrend Indicator
code - 05.09 - Filters or Alert on last bar
COWS-05.16 - Indicators Backtesting -Signal on last bar - Filter for your strategy
COWS 06: Candelstick Patterns
code 06_01_Candelstick_Pattern_Recognition
COWS-06.01 - Candelstick Patterns - Candelstick based Indicators
code 06_02_Candelstick_Pattern_Evaluation
COWS-06.02 - Candelstick Patterns -Candelstick analysis to find which pattern works the best - Crafting Candelstick Strategy - 01
COWS-06.03 - Candelstick Patterns -Candelstick analysis to find which pattern works the best - Crafting Candelstick Strategy - 02
COWS 07: Telegram BoT
COWS 07.01 - Build Telegram Bot on your own custom crafted Optimised winning strategy
Notebook Files - Code used in Training
16 - A Telegram BOT - BB on NSE with yahoo data 1 min-
19 - Building your first Indicator - Oscars Simple Trend Ichimoku Kijun-sen
Extra Session
Doubt clearing Session #1