The $GRT token has garnered a lot of attention over the past day, but what is the future for @graphprotocol? Hint... it is big!! Let’s explore… 1/11

I'm having difficulty seeing the need for any other currency in the world other than G$.

If it works, and it is decentralized, then why would we need more than one global-reach currency?

If it does the job perfectly, then why do we need another?

I don't mean there won't be others. What I mean is that maybe Crypto UBI will be like the existing non-democratic crypto market ranking. There will be a first-place market cap amount, and exponential decay to the #2, #3, #4, etc.

This is in contrast to the simplistic view where we assume there will be X systems and they all have more or less the same abstract Y market cap or reach, and they all add up to an integrated system with X*Y market cap.

All you have to do is design the controls the way they want to be designed. If you don't introduce some unneeded damage in it, then there won't be the need to come up with another system that fixes the damage and actually does complete "the system" that we will use.

E.g. Bitcoin would have worked, except it introduced the damage that is Proof-of-Work, which means it is unusable and will be replaced by Ethereum, which will use PoS, thus fixing the damage.

There is no shortage of takes about what's going on with Gamestop (and other surging stocks), Robinhood and Reddit's r/wallstreetbets, many of them contradictory - at least on the face of them. But I think it's possible for most of these takes to be right. Here's how.

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First you need to understand the underlying mechanics of the story. Stock markets are fundamentally a way of making bets, including bets on the outcome of other peoples' bets, and bets on the outcomes of THOSE bets.

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All this complexity creates lots of exploitable opportunities. Some of these opportunities are considered legitimate and are given respectable names like "arbitrage." Others are considered illegitimate, and are called disreputable things like "stock manipulation."

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A hypothetical Martian observing all this through a telescope could not tell you which kinds of bets were honest and which were dishonest, because the difference isn't about any objective standard, but rather, about power.

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The strategies of powerful people are legit, while the strategies of their would-be dethroners are not legit. Sometimes, even outright frauds are OK if they're done by people with enough power.

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Working on some execution optimisation related backtesting. I have so far been executing with market orders only. Going towards higher lot sizes, I'd like to optimise for minimal slippage.

First off, on NSE, if you place a market order, you get filled at the best bid/ask right?

If we want to optimise this, the first non-creative idea one can think of is, slicing the order into different lot sizes, and placing a limit order for each slice at the mid point of current best bid & ask.

But this requires your latency to be the least.

Why would latency affect it?

I looked at tick historical data, and there are more than 18-20 ticks in a second (auction and quote combined).

Even if you keep 10 ticks per second, your best bid/ask can shift from the time you place to the time exchange receives the order.

So, the next best thing that people can do is place tranches of orders every 1s, 3s, 5s, 10s, 15s - in their preferred time range, and get filled at the midpoint or best-bid+1/2/3/4/5 in the depth.

What you need is liquidity.

But if you're trading breakouts, then it's highly likely that your limit orders may not get filled if the action is too fast.

So, a retry mechanism is required in such cases.

If nothing works, you convert your orders to marketable and get filled at worse slippage.

An option buyer made Rs. 58 lacs from Rs. 2 lac capital in a span of just one month (March 2020 COVID crash).

He is none other than Mr. Subasish Pani.

THREAD: 11 things you must know to become an option buyer.

Collaborated with @AdityaTodmal

•Don't get carried away with the kind of return that Mr. Pani made in such a short period of time.

•This requires a high level of skill, and discipline in terms of which strike to choose, which time to trade, and which days to trade.

•It also comes with higher drawdown.

1/ Screen Time:

• Indian markets function from 9:15-15:30.

• Dividing this time zone into 3 sub parts:
- 9:15 to 10:30: trending market
- 10:30 to 13:30: for retracement
- 13:30 to 3:30: trending

2/ Focus on momentum:

• Option buyers make money when the momentum is quick.

• However if the market remain sideways for few days then the option starts to lose its value.

• This is because theta decay works against option buyers.

3/ Option buyers need momentum to make money:

• Hence focus on the 1st & 2nd time zone where the markets are trending.

• Avoid taking trades between 10:30am till 13:30.

• Special focus on Wednesday & Thursday as premiums are low and if you can catch momentum then good R/R.

I analyzed 25+ years of #Nifty data to better understand bear markets 🐻

Why?

Given the recent market sell-off and bearish stance of market participants, history and data is your best guide to prepare if we're headed for a bear market.

Thread with findings below 🧵👇
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But first, do you know the definition of a bear market?

When any index falls 20% or more from it's all time high, it is termed to be in a #bearmarket 🐻

How do you calculate length of a bear market? The time duration in days from previous all-time high to market bottom.

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🇮🇳 Nifty last 25 years (1997-2022*)

Number of Bear Markets = 8

Average drawdown % = -38.5%

Average bear market duration = 246 days (8 m)

Key takeaway - Bear markets occur every ~3 years and take on average 8 months to bottom

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1997 and 2006 saw the fastest bear markets with Nifty correcting 20-30% in just ~1 month.

Unbelievably, 1997 had 2 bear markets! Just imagine suffering 20% drawdowns twice in a few months!

Mar 2020 Covid crash was the 3rd fastest and 3rd worst bear market.

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Okay, how should we define Bear Market Recovery?

The no of days from market bottom to a new all-time high.

Sadly, bear markets take time to recover.

Almost double the time to recover to a new ATH compared to the time to form a bottom.

Avg recovery duration – 495 days

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