A thread on Risk and Returns

Trader X -

Net-worth - 5 Cr
Trading capital - 25 lakh

Trader Y -

Net-worth - 30 lakh
Trading capital - 25 lakh

Trader X take risk of 2% per trade and he makes about 30-40 % Return on trading capital per month,

Whereas Trader Y only risk 0.25% per trade and he makes about 3-4 % on Trading capital per month.

Trader Y saw how much trader X is making with the same amount of capital that he has.

He is frustrated with his mediocre results as compared to Trader X, though he don’t know the fact that Trader X Is only trading with 5 % of his total net worth.

Trader X has much more risk taking ability in Rupee terms as compared to the Trader Y because he has higher net-worth.

Trader X will not have much impact when he goes into deep Drawdowns , 40-50% where as if the Trader Y goes below 15% DD , it will have deep psychological impact on him.

Even if the Trader X makes 100% return on his trading capital , turns 25 lakh into 50 lakhs ,

OK, I guess I have a thing to say about the stock market. I have done kind of what these Reddit folks are doing with it, in that I have invested in the stock market when I was not at all rich, using parts of my paycheck that it probably wasn't wise to risk. I don't now. (thread)

But, like, it worked out okay for me. I even shorted some stuff. I didn't coordinate with anyone or whatever, but I don't think on the individual level the stock market is *inherently* malicious. If you're privileged, you're going to be exposed to it (through 401ks, etc.)

And I don't think it's wrong for people to try to make money off of it outside of the 401k/retirement context that's socially normal, *especially* if they're desperate like I was. There *are* strategies that you can use that, while risky, aren't exactly like gambling

Like, gambling is risky in a different way. You are always working with a fairly consistent set of probabilities in gambling, and they're never in your favor (outside of grey area gambling like between friends, where you could hypothetically actually still card count)

Anyway, like, on shorts: I don't think they're evil. I think they're dangerous. For an individual, a short always carries a small risk of individual bankruptcy. There's USUALLY not even a huge upside to them; they're not mystical or magical, they're basically reverse "longs"

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

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!!!

One of the favourite case studies that come up in my BFBV course at MDI is Relaxo. Every year I ask students to study this case which I had done along with @ravirpurohit in 2013 by assigning these

Then I update them on my thinking about this business, management and valuation. This year, I spoke that (which I won't discuss here) and also about some additional lessons. Listing them here:

The importance of distinguishing between things that are under your control and those that you cannot control.

Things you can control include defining what kinds of business you will invest into and which ones you will ignore, how you will make conservative estimates of probable earning power a few years from now and how you will restrain yourself from projecting very high exit multiples.

The one thing over which you have no control is the changes in multiple because that will be decided by the market, which is like a very moody person.

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.

𝗧𝗛𝗘 𝗢𝗣𝗧𝗜𝗢𝗡𝗦 𝗧𝗛𝗥𝗘𝗔𝗗-𝟮
So we had discussed a few pointers in the previous thread about options,its time now we discuss further implications and applicability in this thread which will help you in NEW YEAR.
Let’s go and dive into the world of options trading.

-The amount of decay can be measured by theta. This is why you can be right on stock price direction and still lose money. The time decay portion of the option price overpowers the directional move in the underlying stock price.

-During result days due to the heightened uncertainty, there is opportunity for options sellers because of the expensive premium. When entering into an earnings trade, it is optimal to initiate the trade as close in time to the event as possible.

-Keep some cash on sidelines. This would help in adjustments,margin expansion,face losses and also during new opportunities which suddenly arise. A lot of people do the mistake of going all in and regretting later.

-Everything in trading has a trade off.

Unlimited profit comes at the expense of low probability of profit. Give up some profit potential, and you gain a higher probability of profit.
-By using portfolio beta weighted delta, you can accurately gauge your overall portfolio risk. If your portfolio is leaning too far in..

If you tell me the 15-minute chart shows a bearish divergence, I'll probably tell you I don't give a shit. This thread will teach you why.

Understanding timeframes is crucial in trading and technical analysis.

I'll teach you what they are, how they work and their use.

Usual disclaimer, this thread is simply my personal understanding of timeframes and their use, not a globally agreed-upon thing.

This information does not constitute financial advice. You know the drill. Let's get into it.

Some abbreviations

LTF = Lower timeframe
HTF = Higher timeframe
S/R = Support & Resistance
PA = Price Action

Timeframes refer to how much time a single candlestick represents on a chart. There are timeframes all the way from a single second to multiple years.

The 1-hour timeframe consists of 4 15-minute candles, or 60 1-minute candles.

This is why if you're trading the 4h chart, you don't care much about a 1-minute bearish divergence. The movements on much lower timeframes take place much faster than on higher timeframes.

30 books I wish I read before Investing my hard-earned money:

1. You can be a Stock Market Genius by Joel Greenblatt
2. Common Stocks, Uncommon Profits by Phil Fisher
3. Margin of Safety by Seth Klarman
4. The Crowd by Gustave Le Bon
5. Winning the Loser's Game by Charles Ellis

6. The Zurich Axioms by Max Gunther
7. The Most Important Thing by Howard Marks
8. Thinking, Fast and Slow by Daniel Kahneman
9. The Intelligent Investor by B. Graham
10. A Zebra in Lion country by Ralph Wanger and Everett Mattlin
11. Learn to Earn by Peter Lynch

12.Poor Charlie's Almanack - The wit and wisdom of Charles T Munger
13.Speculative Contagion by Frank Martin
14. The Long and the Short of it by John Kay
15. More than you know by Michael Maubossin
16. Influence - The Psychology of Persuasion by Robert Cialdini

17. The Psychology of Judgment and Decision making by Scott Plous
18. The Real Warren Buffett by James O'Loughlin
19. Devil take the Hindmost by Edward Chancellor
20. Risk Intelligence by Dylan Evans
21. The Emotionally Intelligent Investor by Ravee Mehta

22.Accounting for Value by Stephen Penman
23. Common Stocks and Common Sense by Edgar Wachenheim III
24. Big Money Thinks Small by Joel Tillinghast
25. Memos from the Chairman by Alan C Greenberg

Dunning-Kruger Effect 101

In a year when the markets have minted many new self-proclaimed geniuses, it is worth remembering the Dunning-Kruger Effect.

But what is the Dunning-Kruger Effect and how does it work?

Here's Dunning-Kruger Effect 101!

👇👇👇

1/ First, a few definitions.

The Dunning-Kruger Effect is a cognitive bias in which people with low ability at a given task are prone to overestimate their ability at that task.

Put simply, humans are notoriously incapable of objective evaluation of their competency levels.

2/ The cognitive bias was first identified by psychologists David Dunning and Justin Kruger in a 1999 study.

Their paper, entitled Unskilled and Unaware of It, summarized, "People tend to hold overly favorable views of their abilities in many social and intellectual domains."

3/ The two men had studied the bizarre case of McArthur Wheeler, a 5'6" 270lb bank robber who was swiftly caught after robbing two banks in broad daylight.

He hadn't worn a mask.

Instead, he had put lemon juice on his face, believing it would make him invisible to cameras.

4/ Wheeler was aware that lemon juice was used as invisible ink, so (incorrectly) inferred that it could be used to make himself invisible to security cameras.

Even after he was caught, he was legitimately incredulous that his plan with the lemon juice hadn't worked.

Life is a continuous journey of going through peaks and troughs of Happiness and struggle.

We can only see the Happy part of other lives, but ignore what they might have gone through to achieve that.

But let me tell you, even if someone is at ease right now, doesn't mean that he will continue to be at ease for their whole life.

The struggle will come again and we will have to go through it ,whatever we do, whoever we are , we have to cross that river of pain.

Even,In trading there are times when nothing works out, you go through long time and money draw-downs.

Even if you think you are a master, you have to go through it.

If you are struggling right now, don't lose hope as the tables will turn.

But remember to work as hard as you can and do as much good work as you can in your ease or Joyful time of life, because the tables will turn again.

Thank you for reading.

Trader knight.

"90% of the traders lose money, But do they lose it all the time?"

Most of them do make money, its just that they give it all back.

Lets analyze why and how a trader makes and loses money
[Thread]:

Below is the equity curve which is most traders dream.

This is equity curve of an average trader:

Most traders do make money, but they give it back to the markets .

Because of trading errors.

What are trading errors?

Trading errors are those errors which happen because of wrong Position sizing, Leverage , etc.

I am not making this up, check your P&L, 90 % of your losses would have come from less then 10% trades.

Most of these happen because of No knowledge, No plan, bad position sizing .

Now, we know what's the problem, lets talk about the solution.

1. Learn the Basics first-

If you don’t get the basics clear then how can you make money?

Learn How to use Support and resistances
Learn How to use trend lines
Learn about trend, it will solve 90% of your problem

Isaac Newton: A brilliant scientist, a terrible investor

How Issac Newton lost $4 million due to the first stock market bubble in history and insider trading

/THREAD/

1/ Sir Isaac Newton is considered one of the most influential scientists of all time and a key figure in the scientific revolution.

He was a mathematician, physicist, astronomer, theologian, and author.

2/ The most prominent part of his work was the formulation of the laws of motion and the law of gravity.

However, his most prominent failure was losing an entire fortune in the first stock market bubble in history, the South Sea Company in 1720.

3/ Newton was usually a cautious investor.

Before 1720 most of his investments were in safe and reliable securities, various government bonds that delivered a regular stream of income, and shares in a few of the larger companies on the exchange, including South Sea Co.

4/ Newton began in 1720 with stocks and bonds worth approximately £32,000 (close to $6-million in current U.S. dollars).

💥WHY I HAVE OVER $1 MILLION IN $TSLA STOCK💥

Tesla's price may seem out of whack today. The P/E Ratio is insane, right?

But Amazon had similar P/E ratios back in 2014 and 3X higher in 2012. Look at where $AMZN is today.

(1/25)

$TSLA is my #1 stock because I am looking 5+ years out from today and basing my investment on that. Many people aren't doing that. Many people are looking at current or trailing earnings and comparing them to other vehicle makers.

(2/25)

And yes, I do fully expect there to be some major price pullback -- maybe even a short 30 to 50% drop in $TSLA price at some point, but over the long run, I think it goes way up.

(3/25)

That said, I also believe many Gen Z (and soon, Gen Alpha) will not care about old-school fundamentals and will be investing in companies that fit their beliefs, regardless of the stock price. That aside, let me focus on why I like it...

(4/25)

Here's what I see 5 years from now, in the year 2026:

Level 5 FSD (Full self-driving) #Tesla at way safer levels than humans (5X, 10x SAFER?) I'll buy these for my elderly parents. You'll essentially be able to sleep in your car while it drives you to your destination.

(5/25)

So..had a great conversation last night with older investment types, old friends whom I traded with/against and managed money against or for. Age diff from me is > 10+ years so the takes were interesting but the common theme was a little disturbing (depends on your view)

Was looking at the landscape of the world & quite concerned where we are (I do not share your optimism for a shinny happy future). I am a Bond guy + Cycles & my view approach is ALWAYS what is the worst that can happen (that is how I was taught to trade & manage money) As a Bond

Money manager you never every want to apologize for a negative year, most people don't understand bonds can lose lots and lots and lots of money. So my view on life is always negative & fuck you approach.

The others are similar but have more equity exposure and FX, one other is really good via commodities so the conversation was from a top down look with some bottom up approaches. So.....after looking at the notes of the great conversation this is how it looked:

basically the world changed 2007/2008 especially North America. The GFC set in motion financial engineering games and here we are. The issues pre this (2000 to 2007) set ALL this up so lots of blame to go around but to pin point certain things the real problems started with QE &

"Don't change the trading rules after every trade."

If you do change them frequently then this thread is for you.

Let's talk about the law of large numbers and how it benefits traders to be profitable.

[Thread]👇👇👇

Most people start tweaking the rules, chart settings and the indicator settings because now they think they have found the holy grail.

But they again end up changing them after next losing trade.

If you believe in the law of large numbers then;

Changing the buying rule from buy 1 point above the breakout to buy above 5 points or any tweak like that will not make much difference in the long run.

Law of large numbers is best illustrated by the example of a coin flip :

It has a 50% chance of landing on heads.

If we flip the coin twice, we have almost exactly equal chances of any scenario happening: heads twice, tails two evenly split.

The probability of getting 5 heads and 5 tails on ten flips is just 8% but that probability keeps increasing as we increase the sample size.

If one flips the coin 100 times, the probability of getting 50 heads and 50 tails (P=0.5) increases to 70% and so on.

When the market conditions are not in favour of a strategy, it's normal that it will suffer from drawdown.

In this period most traders can't face the heat,

Re: Fannie/Freddie-The Path Is Actually Clearer NOW. On its face, this claim may sound ludicrous off the back of a precipitous drop in valuations due to what some interpret as SM losing his nerve and punting to a hostile Admin. In this thread, I posit the exact opposite.

First, the economic realities: 1) GSEs are the bedrock behind our housing market which in turn is the bedrock behind our economy, 2) after 12 years and $300 bn, gov has thus far squandered the opportunity to recap, 3) this economy recovery is VERY long in the tooth.

When Trump took office, we all hoped that he would usher in a regime change from the Admins that enacted conservatorship and then the Net Worth Sweep. Well, he actually did that with the appointments of SM and MC.

Yet, what always bothered me about SM was his perfect poker-face. For those of you following me for awhile, you know I’ve been saying that I couldn’t tell whether he was just playing bad cop or really was Darth Vader incarnate.

The primary consensus exit preconditions were: 1) there has to be a demonstrable path to meeting cap reqs, 2) the SPS needs to be forgiven, 3) court cases need to be settled.

Are you planning on handing over your money to an algo trading platform?

Maybe you want to subscribe to a strategy or two and make insane returns.

Here's why you shouldn't do it, and save your money instead.

1/ Maybe you want to have a strategy development company deploy such algorithms on your account with respective brokers.

Or the service itself has strategies that you just subscribe to and authorize your trading account with, and it will automatically trade your money.

2/ When it comes to @Tradetron1 there are a slew of issues.

Let's keep aside the lack of transparency and the total regulatory non-compliance for a moment.

First off, with most of the strategies, the backtests are BOGUS.

3/ Any systematic trader with even a little bit of experience will look at the strategies and tell you which ones are baloney.

Most of them are.

Don't take my word for it. Do your own due diligence.

And, those backtests aren't even for 10+ yrs. Some were done only for months.

4/ Secondly, SEBI has put rules in place on parameters like

- minimum net worth of the company
- qualifications of the fund manager
- minimum number of clients
- minimum amount to start with

and so on, for qualifying people who want to manage other people's money.