If you really want to make MONEY in markets:-

Instead of finding SUPPORTS to BUY in Bearish Markets, try to SELL near RESISTANCE in PULL BACKS.

Instead of finding RESISTANCE to SELL in Bullish markets, try to BUY near SUPPORT in PULL BACKS.

You are all set to make MONEY!!!

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.

A thread about GameStop:

Big hedge funds made big bets that GameStop’s stock was overvalued. The way these bets work is the hedge fund borrows shares of the stock and sells those borrowed shares.

When it comes time to give the borrowed shares back, they buy them on the market, hopefully at lower prices. For example, they might sell the borrowed share at $50, hoping to be able to buy the share back at $30, to make a $20 profit. This is called shorting.

The hedge funds were so sure that GameStop was going down, that GameStop was the most shorted stock on the market. 140% of the shares in existence were “borrowed.” Imagine Bob borrows from Jane who borrows from Sue who borrows from John.

Shorting is risky, but the hedge funds were so sure that they just didn’t even care. People on Reddit realized this and basically thought “what if we all just bought shares and refused to sell them when the hedge funds need to give their borrowed shares back.”

The price goes up, the hedge funds are forced to buy back the expensive shares and lose money. Except the hedge funds kept doubling down as the price rode up, expecting that it would eventually fall. The Redditors weren't scared off and with "diamond hands" refused to sell.

Some observations and thoughts on ZILSwap: What went well, its impact on the $ZIL ecosystem and where we need to improve with some concrete plans that are being worked on. A thread:

👇

1/ ZILSwap was launched by @SwitcheoNetwork on Oct 5, 2020 (~2 months old). Soon after, we noticed for the first time, a flurry of ZRC-2 tokens (equiv. of ERC20s on $ZIL) getting launched on the network (even though the fungible token standard had been around for a while).

2/ The ability to provide a marketplace for people to exchange tokens was the trigger for deveopers to start issuing tokens and developing a token economy. In fact, there was a token for which, the entire supply was put on a ZILSwap pool w/o any team withholding.

3/ This was an extreme example of why a DEX was needed and the role it played in bootstrapping several tokens and respective token economies. Over 25 tokens are available on ZILSwap in the form of liquidity pools. The total pool size across all tokens is over USD 1 million.

4/ ZILSwap also made it possible for the first time for anyone to get access to $XSGD (the Singapore Dollar Stablecoin issued by @xfers). In fact $XSGD and $gZIL contribute the greatest proportion of the total pool.

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 🧵👇
1/n

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.

2/n

🇮🇳 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

3/n

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.

4/n

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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