"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
2. Plan-

The number 1 problem is that you don’t have a plan,
And by plan I mean set of written rules.

If you don’t have a plan then you really aren't serious enough to consider making any money.

So, Make a plan.

How does a plan looks like?
3. Position sizing-

Money management is that part of your system that answers "How much?" throughout the course of the trade.

How much essentially means how big a position you should have at any given time throughout the course of a trade.
Attaching a thread on how position sizing affect the account-
https://t.co/H9UBHy0CSt

you can see that risking the appropriate amount of money is necessary for your equity curve growth.

There are two type of position sizing strategies,

1. Martingale
2. Anti-martingale
1. Martingale strategies increase the risk per trade when equity decrease.
2. Anti martingale strategies increase risk per trade when equity increases.

There are further many anti martingale strategies
I will be explaining this further in upcoming days as this thread will get super long if I do it now.

Tip-

When you start to trade ,trade small for the first 20-30 trade , at-least 1/3rd of the risk what you think you will trade.
This will give you confidence and you can follow the plan effectively when you do not have fear of losing.

4. Be ready for Black swan events.

What are black swan events?

Big gap-downs, Flash crash, Big news, Market or stock hitting Upper or lower circuit.
Think about can your account be wiped in these conditions?

If yes, then correct the parameter due to which you can have big draw-down.

4. Next is psychology, Read the book trading in the zone, that will cover all your psychology related problems.
Attaching some threads which can help you.

Thread on law of large numbers-
https://t.co/Hg0BnWGYrV

Tweets on psychology-

https://t.co/1CJT0sZcUs

https://t.co/8rIYnkLKTa

These are some of the things that can help you become a better trade.

Thank you for reading till here.
Tagging some accounts from where you can learn almost everything -
@PharmaBull20_22 - Best short term trader
@sanstocktrader - Most humble person and finest price action trader
@kirubaakaran - one of the Best system trader
@sakuag333 - System trader and rising star
@AnandableAnand - Experienced System and discretionary trader
@sohamtweet - Bade bhai and Finest algo trader
@jitendrajain - All rounder, system trader.
@quatltd - Best algo trader in stocks.
@ST_PYI - Price action master and super humble person.

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Many of you have seen the famous Westrum Organizational Typology model, so prominently featured in State of DevOps Research, Accelerate, DevOps Handbook, etc.

This model was created Dr. Ron Westrum, a widely-cited sociologist who studied the impact of culture on safety


Thanks to Dr. @nicolefv, I was able to interview him for an upcoming episode of the Idealcast! 🤯

It was a very heady experience, and while preparing to interview him, I was startled to discover how much work he's done in healthcare, aviation, spaceflight, but also innovation.

I've read 4+ of his papers, so I thought I was familiar with his work. (Here's one paper:
https://t.co/7X00O67VgS)

I was startled to learn he has also studied in depth what enables innovation. He wrote a wonderful book "Sidewinder: Creative Missile Development at China Lake"


Dr. Westrum writes about China Lake Research Labs: "its design and structure had one purpose: to foster technical creativity. It did; China Lake operated far outside the normal envelope... Sidewinder & others were "impossible" accomplishments,

I love this book because it describes traits of organizations that routinely create and maintain greatness: US space program (Mercury, Gemini, Apollo), US Naval Reactors, Toyota, Team of Teams, Tesla, the tech giants (Amazon, Google, Netflix, Google)
1/ Feels like a good time to tell the story of how I went from broke to a millionaire to broke again in 2017/18 again...

Yesterday was brutal for some people...

Losing life-changing money sucks, losing any money sucks...you can chase the market or you can change your strategy.

2/ The original thread is gone but you can read it here.

https://t.co/cLLNs75rB0

tl;dr
- Traded $32k to $1.2m
- Thought I was a genius
- Made poor investments
- Didn't conserve capital
- Peaked at 150 BTC
- Lost nearly all of it

2 weeks from losing my house + no income. Oops.

3/ I am going to assume you are in it for the money rather than the tech. Yeah, you might Tweet about the amazing blockchaining of cross-border payments and oracles yadda yadda...really, you are in it to make money.

If you are really in it for the tech, go and build something.

4/ Okay, so if you want to make money, trading is super hard, you are trading against:
- Better traders than you
- People who can move markets
- Unknown information

And if you are trading with leverage you might blow up your account with the volatility.

5/ If you are not trading, you are investing. Okay, so what are you investing in?

I made the decision that the crypto with the best opportunity of existing in 10 years is #Bitcoin:
- Solves a genuine problem
- The right tech
- A proven track record

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