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Nano Course On Python For Trading
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Module 3-B (Bonus)
In this Bonus Module, I will attempt to teach you how to write an algorithm to create a Stock Screener based on @markminervini 's Trend Template from his book Trade Like A Stock Market Wizard.
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• Read Module 2, so that you can download the historical data. A small assignment for you - write code to automate EOD data download and save it in the folder. We need to have the latest data for the screener. Hint: set end_date = https://t.co/u2N2I53cm4()
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• The LTP of the stock > 150 SMA & 200 SMA
• The 150 SMA > 200 SMA
• The 200 SMA must be greater than 200 SMA 30 days ago.
• The 50 SMA > 150 SMA & 50 SMA > 200 SMA
• The LTP > 50 SMA
• The LTP must be greater than 30% of 52-Week Low
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• The Relative Strength(RS) should be greater than 70
SMA = Simple Moving Average
LTP = Last Traded Price
Let's get started with its coding.
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To calculate 52 weeks high/low, I assume that there are on average 253 trading days in a year. If you take 365 days, results will vary.
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Note: This module will help you understand that there are details to anything to use in your trading voyage. For e.g. you may use 365 days instead of 253 to calculate 52 weeks high/low. You should also understand the underlying
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Link to colab notebook (no output attached this time): https://t.co/559olcN9jj
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More from Python
Nano Course On Python For Trading
==========================
Module 4
In this post, I will attempt to teach you how to write a trading strategy in Equity Segment that runs on your PC and create a Telegram bot that sends you buy/sell signals with Stop Loss.
Prerequisite: If you hadn't gone through the earlier modules, I strongly recommend you go through them all. Module 2: https://t.co/pciDOJXyVI
Note:
If you liked my content, you can donate, tip and support me on this link (any amount you prefer)
We are going to implement below strategy:
Rules: There should be three candles -> high of candle 1 > high of candle 2 > high of candle 3 and low of candle 1 < low of candle 2 < low of candle 3, where candle 3 is T-1 day, candle 2 is T-2 day and candle 1 is of T-3 Day, T = today.
If on today(day=T), the stock crosses yesterday high(candle 3), then send a buy signal to your telegram handle with candle 3 low as SL.
Before we get started with code, let's create a telegram bot using BotFather.
Step 1: Search BotFather in the telegram.
Step 2: type /newbot and then give the name to your bot. Refer to the second image as an example
==========================
Module 4
In this post, I will attempt to teach you how to write a trading strategy in Equity Segment that runs on your PC and create a Telegram bot that sends you buy/sell signals with Stop Loss.
Nano Course On Python For Trading
— Indian Quant \U0001f1ee\U0001f1f3 (@indian_quant) December 13, 2021
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you\u2019re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
Prerequisite: If you hadn't gone through the earlier modules, I strongly recommend you go through them all. Module 2: https://t.co/pciDOJXyVI
Note:
If you liked my content, you can donate, tip and support me on this link (any amount you prefer)
Nano Course On Python For Trading
— Indian Quant \U0001f1ee\U0001f1f3 (@indian_quant) December 13, 2021
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you\u2019re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
We are going to implement below strategy:
Rules: There should be three candles -> high of candle 1 > high of candle 2 > high of candle 3 and low of candle 1 < low of candle 2 < low of candle 3, where candle 3 is T-1 day, candle 2 is T-2 day and candle 1 is of T-3 Day, T = today.
If on today(day=T), the stock crosses yesterday high(candle 3), then send a buy signal to your telegram handle with candle 3 low as SL.
Before we get started with code, let's create a telegram bot using BotFather.
Step 1: Search BotFather in the telegram.
Step 2: type /newbot and then give the name to your bot. Refer to the second image as an example
Nano Course On Python For Trading
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
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I just finished Eric Adler's The Battle of the Classics, and wanted to say something about Joel Christiansen's review linked below. I am not sure what motivates the review (I speculate a bit below), but it gives a very misleading impression of the book. 1/x
The meat of the criticism is that the history Adler gives is insufficiently critical. Adler describes a few figures who had a great influence on how the modern US university was formed. It's certainly critical: it focuses on the social Darwinism of these figures. 2/x
Other insinuations and suggestions in the review seem wildly off the mark, distorted, or inappropriate-- for example, that the book is clickbaity (it is scholarly) or conservative (hardly) or connected to the events at the Capitol (give me a break). 3/x
The core question: in what sense is classics inherently racist? Classics is old. On Adler's account, it begins in ancient Rome and is revived in the Renaissance. Slavery (Christiansen's primary concern) is also very old. Let's say classics is an education for slaveowners. 4/x
It's worth remembering that literacy itself is elite throughout most of this history. Literacy is, then, also the education of slaveowners. We can honor oral and musical traditions without denying that literacy is, generally, good. 5/x
As someone\u2019s who\u2019s read the book, this review strikes me as tremendously unfair. It mostly faults Adler for not writing the book the reviewer wishes he had! https://t.co/pqpt5Ziivj
— Teresa M. Bejan (@tmbejan) January 12, 2021
The meat of the criticism is that the history Adler gives is insufficiently critical. Adler describes a few figures who had a great influence on how the modern US university was formed. It's certainly critical: it focuses on the social Darwinism of these figures. 2/x
Other insinuations and suggestions in the review seem wildly off the mark, distorted, or inappropriate-- for example, that the book is clickbaity (it is scholarly) or conservative (hardly) or connected to the events at the Capitol (give me a break). 3/x
The core question: in what sense is classics inherently racist? Classics is old. On Adler's account, it begins in ancient Rome and is revived in the Renaissance. Slavery (Christiansen's primary concern) is also very old. Let's say classics is an education for slaveowners. 4/x
It's worth remembering that literacy itself is elite throughout most of this history. Literacy is, then, also the education of slaveowners. We can honor oral and musical traditions without denying that literacy is, generally, good. 5/x
1. Project 1742 (EcoHealth/DTRA)
Risks of bat-borne zoonotic diseases in Western Asia
Duration: 24/10/2018-23 /10/2019
Funding: $71,500
@dgaytandzhieva
https://t.co/680CdD8uug
2. Bat Virus Database
Access to the database is limited only to those scientists participating in our ‘Bats and Coronaviruses’ project
Our intention is to eventually open up this database to the larger scientific community
https://t.co/mPn7b9HM48
3. EcoHealth Alliance & DTRA Asking for Trouble
One Health research project focused on characterizing bat diversity, bat coronavirus diversity and the risk of bat-borne zoonotic disease emergence in the region.
https://t.co/u6aUeWBGEN
4. Phelps, Olival, Epstein, Karesh - EcoHealth/DTRA
5, Methods and Expected Outcomes
(Unexpected Outcome = New Coronavirus Pandemic)
Risks of bat-borne zoonotic diseases in Western Asia
Duration: 24/10/2018-23 /10/2019
Funding: $71,500
@dgaytandzhieva
https://t.co/680CdD8uug
2. Bat Virus Database
Access to the database is limited only to those scientists participating in our ‘Bats and Coronaviruses’ project
Our intention is to eventually open up this database to the larger scientific community
https://t.co/mPn7b9HM48
3. EcoHealth Alliance & DTRA Asking for Trouble
One Health research project focused on characterizing bat diversity, bat coronavirus diversity and the risk of bat-borne zoonotic disease emergence in the region.
https://t.co/u6aUeWBGEN
4. Phelps, Olival, Epstein, Karesh - EcoHealth/DTRA
5, Methods and Expected Outcomes
(Unexpected Outcome = New Coronavirus Pandemic)
