Slight modification... The regions where property will be purchased a low cost will, not coincidentally, be the "opportunity zones" where investment transactions without capital gains can be made. The areas where riots took/take place (OZ's)will sell cheap. WATCH... #RESET

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:

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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.

A thread on SCALING IN - OUT METHOD -

What is scaling in - out?

1. Scaling in is adding on to the positions when they move in our favor (Pyramiding).

2. Scaling - out is exiting the portion of the position when the trade moves in our favor.

I have explained about pyramiding in previous tweets.

// Why use scaling out instead of exiting all position at once ?

When you are using ALL - out method where you exit positions at once, mostly you use wider Trail SL as you want to capture big moves and exit all when trail sl hits.

The problem with this method is that either you make too big or many times your medium size winners turns out to become Scratch trades.

So, when we use the scaling out method, we are trying to capture most of our medium size trades , so that they do not turn into scratch trades.

// How to use scaling out method -

Say we have to got a signal to enter in a trade, and we have to buy 1200 qty according to our Position sizing.

So, we have to divide this 1200 qty into parts, how much? It depends on you.

We can divide into 3 parts, each part 400 qty.

How to get rich trading (without getting lucky)

Complete beginner’s guide to wealth of Rs 10 Cr in 10 years

Step 1: start trading live

1/n

Nothing can substitute experience of live trading

No amount of back-test, studies or indicators can substitute training your mind with screen time

As a beginner, In live trading, you will make losses almost everyday

2/n

So here are the conditions which you can’t violate in first year
If you can’t follow these rules, this document is not for you

Start with trading capital of Rs 1 lakhs

Max loss per trade 0.25%, i.e. 250 Rs

Max loss for the day, 1%, i.e. Rs 1000

Max 6 trades in a day

3/n

I know, these conditions will cripple you in terms of what all you can trade and how

But just like any start up, trading is also about making it through initial gruelling constraints of life

You will also learn, how to turn these adverse rules to your advantage

4/n

Btw, you can sell directional banknifty options, obviously you can buy options, can do cash stock trading and much more under these conditions

Think about it, you will be do all kinds of instruments, just that PNL will not be roller coaster ride or exciting like a casino

5/n

Over the last 18 months, I have scaled my income to around ₹10,00,000 or 10 lakhs per week with drawdowns below 10%.

How?

@niki_poojary taught me how to form a weekly trading plan.

I'm going to share what I've learned in this thread.

Here's the simple 10 step process: 🧵

1. Check on the daily chart if Bank Nifty is in a higher high or lower low:

A higher-high (HH) is a bullish pattern, it signifies that it is difficult for the market to go down.

If that has formed on the daily chart, the market will give all the surprises on the upside.

If the market is in a higher high mode, look for good opportunities to sell puts.

Usually, at a higher high, traders buy on breakouts and also buy the dips.

If you want a good Risk-Reward, you can sell puts on a dip. (Only if it's showing some reversal)

2. Take High Probability Trades

Simply knowing a higher high or lower low does not make money. It gives you a bias for the week.

Still, you should try to take higher probability trades that align with your view of the market.

This will get you consistency and a good mindset.

3. Support & Resistance

I would say Support Resistance is the most important and favorite thing for @niki_poojary.

She keeps updating these levels with charts on her Twitter handle during live markets daily.

Attaching some examples will do a detailed thread on this later.

A former CIA math genius built a quantitative trading fund that earned more than $100 BILLION for investors.

At 66% return/yr, his track record destroys that of Warren Buffet, George Soros, Carl Icahn, and every investor who ever lived.

The Smartest Billionaire in Finance:

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If you'd have put $100 into Jim Simons' Medallion Fund in 1988, it would be $400M+ today.

By contrast,

$100 in the S&P 500 in 1988, would be $2,000 in 2022. (roughly)

Let that sink in.

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Jim Simons's Medallion fund has had unreasonably high annual returns of 66% across 30 years.

For comparison, Buffet clocked in at about 20%/yr.

Many funds don't make that in a lifetime.

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Even during the financial crisis of 2008, it made a net return of 82.38%.

They make so much money for their investors that they charge 44% in management fees.

The industry standard is 20%.

4/28
It uses math calculations to decide the bulk of its trades, & none of the market trends apply to how it performs.

It wins by finding order in chaos.

The fund is managed by Renaissance Technologies, the parent company founded by the mathematical genius Jim Simons.