A thread about my thoughts on the market:

$SPX has a rising wedge, looks really weak.

$DXY is bottoming with the short interesting going higher and higher.

$UVXY building a big base. Last time we saw this was in February.

$RUT has hit respected trendline from 1998.

1/

Get a cup of coffee.

In this thread, I'll help you understand Geometric Expectations.

2/

Imagine we have an investment opportunity.

If the investment goes well, we get to double our money.

But if it goes badly, we'll end up losing three fourths of it.

There's a 50/50 chance of either outcome.

The question: is this a good bet or not?

3/

A simple way to approach this question is to calculate the bet's "expectation".

For every $1 we bet, there are 2 possibilities:

1. The lucky case, where we double our money and end up with $2, and

2. The unlucky case, where we lose (3/4)'th to end up with just $0.25.

4/

Each of these outcomes is equally likely.

So, on *average*, every $1 we put in turns into ($2 + $0.25)/2 = $1.125.

This is a *positive* 12.5% return.

Such bets are called *positive expectation* bets. On average, we expect to *make* (rather than *lose*) money on them.

5/

Suppose we could take many turns betting at these odds.

In any one turn, we could of course lose money.

But because our bet has positive expectation, *over time* we expect to make money.

How position sizing can affect your trading performance-

Assuming that you are trading a Trend-following system with Big RR and low win-rate.

For example, assume that you risk one percent per trade on a 100,000 account
and you have 20 straight losses.

That one percent is of your remaining equity and at the end of 20 losses, you would be down to 81,790.60.

Now if you got a 30R winner and you are risking one percent of your balance of 81,790.60, your new equity would be 106,327.9,

You’ve had 20 losses and one winner though you are still up 10Rplus your equity is up by 6.3R percent.

Now, let’s say you risk five percent per trade on your balance. At the end of 20 straight losses, you would be down to 35,772.89 or down 64 percent.

If you risk five percent on this amount and get a 30R winner, you would be up to 89,621.48. You are up 10R, but because of your position sizing, your equity is still down over 10 percent.

#positionsizing
#Trading
#nifty50

This is why position sizing is the most important factor in trading if you get it right and you have an edge, you will do good.

Thanks for reading till here.
@AnandableAnand @jitendrajain @quatltd @sohamtweet

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

5/n