9 trading strategies everyone should know (with Python code):

Algorithmic trading is the domain of secretive hedge funds.

Python has unlocked these secrets for everyone (even Goldman Sachs has an open source tool).

Use the same tools the professionals use.

Here's 5 tools to start automating your trading:

A Guide to Obtaining Time Series Datasets in Python

What you'll learn: Acquire, clean and analyze stock and economic data for free using

Analyzing Stock Events with Pandas

What you'll learn: How to analyze company events impact stock returns as a trading

Goldman Sachs' Open Source Quant Library: GS Quant

What you'll learn: How to accelerate development of quantitative trading strategies and risk management

Automated AI Based Trading System With Python

What you'll learn: How to create a fully automated AI based trading system for

I've been using pandas since 2011.

It's the most important tool for analysts working in Python today.

If you're using Python, you need pandas.

Here's the 7 tutorials I wish I had when I started:

10 minutes to pandas

This is a short introduction to pandas, geared mainly for new

pandas tutorial on W3 Schools

A 14 section getting started guide for pandas. From an introduction to the library to more advanced features like correlation and

A Complete Introduction for Beginners

Learn some of the most important pandas features for exploring, cleaning, transforming, visualizing, and learning from

Hands-On Pandas

Solve short hands-on challenges to perfect your data manipulation

In 2012, my first options trade lost $9,000.

12 months later I was making $1,100 per week trading in my free time.

What changed?

I read 20 books on options and finished a master’s degree.

But what took my game to the next level was Python.

Here’s the code I still use today:

A quick primer on options in case you're not familiar:

• Over $450 billion in notional trades DAILY
• 39 million options contracts trade DAILY
• 25% of total options trading is from retail

So how do we make money?

Trade options with a simple, 3-part framework:

1. Design your risk
2. Value the position
3. Measure and monitor

Now pair this framework with Python and you get a potent combination for making money trading options.

Let's dig in:

To design our risk profile, we need the option payoff.

Let's start by defining the variables we need:

• Stock price
• Strike price
• Time to expiration
• Interest rate
• Volatility

We also define market prices for demonstrating trades.

Remember our payoff functions for calls and puts?

• call = max(S - K, 0)
• put = max(K - S, 0)

We can define them in Python in one line of code each.

And here's where it gets really interesting.

College completely failed to teach me data analysis.

So I spent over 10,000 hours learning Python.

Then, I picked the 13 best libraries for machine learning and data analysis.

But unlike college, these won't cost you $120,000.

Here they are for free:

AutoViz

AutoViz performs automatic visualization of any dataset with a single line of Python code. Give it any input file (CSV, txt or json) of any size and AutoViz will visualize

Numba

Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or

NetworkX

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex

pandas

pandas is a fast, powerful, flexible, and easy-to-use open source data analysis and manipulation tool, built on top of the Python programming

The 7 must-have books everyone using Python for algorithmic trading needs to know:

Algorithmic Trading with Python: Quantitative Methods and Strategy Development

Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and

Algorithmic Trading with Interactive Brokers (Python and C++)

This book walks through the process of developing applications based on IB's Trader Workstation. Learn how to implement full-scale trading

Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python

Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading

Python for Algorithmic Trading: From Idea to Cloud Deployment

You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading

LESSER KNOWN DETAILS ABOUT THE BATTLE OF PRATAPGAD - THIS YOU ALL SHOULD READ

In the 1659 Adilshah sent Afzalkhan with the army of 75000 soldiers to destroy Chhatrapati Shivaji Maharaj with his empire. He was the main soldier, warrior and minister in Adilshahi Sultanate.

He was the Subhedar of Wai province.

He was very powerful physically. His height was 7.3 ft. due to same he was very popular as a strong man from Adilshahi Sultanate.

Whole India was not daring to fight with Adilshahi due to Afzal Khan.

Badi Begum Sahiba sent him to kill Chhatrapati Shivaji on any cost.

Voluntary he decided to destroy Chhatrapati Shivaji’s empire with him. He started his operation against Chhatrapati Shivaji from "wai". He destroyed many temples like as Tulja Bhavani Temple.

He destroyed so many villages, killed villagers to torture Chhatrapati Shivaji.

DETAILED VIEW- Running commentary

1. Chhatrapati Shivaji chose Pantaji as a lawyer to communicate with Afzal Khan. Pantaji was very sharp minded, who did his job very nicely.

2. He presented Chhatrapati Shivaji is fearing Afzal Khan and he wanted to invite him in his kingdom near Pratapgad.

3. Pantaji succeed in the communication with Afzal Khan and he brought him as per the planning of Chhatrapati Shivaji.

Again sharing bank nifty intraday weekly straddle. How to play by selling straddle.
Mostly will work on Monday to Wednesday. Sometimes on Friday.
Why to pay your money to learn this if u can get it here.
U need only practice.
Let’s go.

Say bank nifty future is at 32000.
Sell both 32000 call and put.
Considering current volatile market lest say premium on Monday morning is 350 on both sides.
Sold with 700 points combine premium.
If bank nifty will trade in narrow range say +\- 100 hold it.
If moving 200 points

then exit previous sold straddle. Sell new one. Let’s say BN moved +200
Now sell 32200. If bank nifty will move here within range then u will get profit through theta decay. Follow same procedure for next 150-200 pts move.

This is only for single straddle sell position.

Now in second case sell three straddle. 31900/32000/32100
In case of 100 points move no need to change.
If 200 + then future is 32200.
Exit 31900 and sell 31200 straddle.
If moving another 100 then exit 32000 and sell 32300. Continue same with 100 points move.
If no move then

it will consolidate between 32000-32200 or 32100 to 32300 and u will get theta decay.

This is for normal move. Sudden big move may come anytime. So keep SL in system.
If u r selling at 350-350 then keep SL in system 475 for both legs.
Practice it. No need to attend webinar.

MEENAKSHI AMMAN, MADURAI (TN)
#bharatmandir #navratri2021

A paadal Petra sthalam where Shiva took the form of Sundareswarar (the handsome one) and married Devi Parvati (Meenakshi).
Devi is also known by the name Angayarkanni (mother with the beautiful fish eyes).
@GunduHuDuGa

Devi Meenakshi emerged from yagna fire as a 3 year old girl when Pandyan King Malayadwaja and Kanchanamalai were praying for a child.
It is said that Devi was born with three breasts and there was a prophesy that her superfluous breast would melt away when she met her husband.

Devi ruled over Madurai and captured Indralok. She went on to capture Kailasha. When she saw Shiva, her 3rd breast disappeared and she realised that Shiva would be her consort.
The divine marriage was attended by all Devas and Sri Vishnu (as her brother) gave her hand to Shiva.

It is said that Indra found a swayambhu lingam at Kadamba Vanam. He placed it in Madurai where the kshetram stands. Here, Shiva is seen on the vehicle of Indra.
The Golden Lotus Tank is said to be the place where a golden lotus blossomed for the puja performed by Indra.

The Meenakshi Thirukalyanam festival is celebrated in the Chithirai month to mark the divine marriage of Meenakshi Amman. The festival includes a procession where Meenakshi and Sundareshwara travel in a chariot and Sri Vishnu gives away his sister in marriage to Shiva.

In the last couple of days Russian propaganda has published a lot of content alleging that Poland staged provocations against the Nord Stream 2 pipeline. The content in question has employed narratives in use by the Kremlin in its influence activities against Poland. 1/6

Pattern no. 1
Articles posted to Russian websites pick up false accusations against the Poles. These include bogus claims that Poland sabotaged the construction site of the Russia-to-Germany gas link and carried out a direct attack on the pipeline. 2/6

Pattern no. 2
Some of the articles warn that the Kremlin may take retaliatory actions against Poland. Based on false accusations thrown by Russia, the Kremlin’s propaganda amplifies the calls by some journalists and contributors to embark on aggressive activities against PL. 3/6

Pattern no. 3
The Russian media outlets publish a lot of materials that mock the Polish Navy. The narratives that denigrate this component of the Polish Armed Forces are based on opinions and quotes by single Polish Internet users. 4/6

These information warfare efforts aim to:

- solidify false accusations made against Poland

- threaten the Polish society with a potential response by Russia

- weaken the morale of the Polish soldiers and undermine the image of the army 5/6