For weekend learning.

1. Reverse buying (Iron Fly Adjustments) https://t.co/1HCmF6ej9e

2. Straddle setup and adjustments
https://t.co/MFvRjemrHw

3. In depth option chain analysis
https://t.co/W9iiCiBJaw

4. Expiry calendar setup

🕵️‍♂️ How Google's PageRank algorithm works

The PageRank algorithm gives each page a rating of its
importance, which is a recursively defined measure of importance, based on if important pages link to it.
It's recursive because the importance of a page refers back to the importance of other pages that link to it

Here's how it works in practice:
1⃣ We start with some pages and crawl them for links

2⃣ Each page has 1/N points (where N as the total number of pages)

3⃣ Add points to each page for the amount of links to it, divided by the number
of links emanating from the sources of these links

THE UNTOLD TALE OF THE LESSER KNOWN WARRIORS:JOGRAJ GURJAR & RAMPYARI GURJAR AND HOW DID THEY DEFEAT THE CRUELEST ISLAMIC INVADER, TIMUR LANG.

Timur Lang, was the founder of Timurid Empire. He was born in April 1336 CE, somewhere in central asia.

During his reign, he conquered Persia, Egypt, Central Asia and emerged as the most powerful and heinous ruler. He was a religious fanatic like the rest of the Islamic invaders who tried to invade India.

Timur Lang decided to invade India in 1398 as he heard about India's splendid wealth and had a desire to conquer India which his ancestor Genghis Khan couldn't do.

After Firoz Shah's demise in1388, Delhi Sultanate was in a state of political turmoil.During this time, Timur sent his grandson Pir Mohammad to attack Indian front. He invaded Multan&was able to defeat Iqbal Khan's brother but when he met with resistance,he asked help from Timur.

Iqbal Khan secured his hold on Delhi under Muhammad Tughluq after Firoz Shah died.
Timur provided the required back-up to his grandson with 100000 men approx. Timur sacked and plundered all the cities coming in his way &later in October 1398 reunited with his grandson.

(THREAD)

1. There's been a lot of news lately about people in the Autonomous Vehicle industry realizing the problem they're trying to solve is much trickier than they initially hoped.

I think there’s a good analogy in a similar technology: self-checkouts.

2. Self-checkouts have been around a while. Companies have been working on them since 1984, and they’ve been in stores around the country for nearly two decades. As you well know if you’ve used one, they also still kinda suck.

3. This is not for a lack of financial incentives! A company that could figure the technology out would be able to replace billions a year in labor. Even a marginal improvement on the tech would be incredibly valuable as current systems feature staggering losses to shoplifters

4. It’s not as if “scanning items at a checkout” is an especially daunting task. It’s considered unskilled labor. Teenagers do it.

5. Turns out that making an automated system that’s 95% as good as a human is relatively easy and one that’s 100% as good as a human is very hard. I think it’s becoming clear that autonomous vehicles are going to turn out like this

We’ve recently seen research about so-called “bots” and misinformation on Twitter and wanted to share our perspective on why findings that might seem remarkable at first are likely inaccurate. We’re working on a more detailed explanation, but some comments for now.

We continue to be excited by the research opportunities that Twitter data provides. Our service is the largest source of real-time social media data, and we make this data available to the public for free through our public API. No other major service does this.

Many researchers, academics, and journalists use our public API — a set of tools for programmatically accessing information on Twitter. We make all public Twitter content available via our APIs. You can learn more about them here:

The basic issue with much of the research based on our public APIs is simple: The APIs don't provide insight into our defensive actions to protect Twitter from manipulation, including bots.

Because of this, API-based research can't distinguish between accounts we've already identified as bad (and hidden or removed) and real, authentic ones.