How to Avoid Big Losses In trading ?

1. Avoid Stocks Below 200 ema
2. Sell Stocks in Stage 4 Down Trend
3. Dont Trade Stocks that are moving in Circuits
4. Avoid News based Trading

A thread With examples🔖

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Learn All About ETF Investing for Brighter Future
Thread on Nifty BeES
A Path on Passive Wealth Creation

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1️⃣Nifty BeES is an ETF (Exchange Traded Fund) by Nippon India, which tracks the Nifty Index.

2️⃣To explain in simpler terms, Nippon India takes your money and uses it to buy the equivalent number of all 50 stocks that the component of Nifty Index.
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3️⃣ Each single share of Nifty BeES is priced approximately 1/100th of the Nifty Index.

4️⃣If Nifty is at 17000, the price of Nifty BeES would be (about) Rs.170 to 180
So if you buy 1 stock of Nifty BeES, the ETF would have invested in all of the 50 shares in Nifty
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5️⃣But you can say one can’t buy all of the stocks with just Rs.180. Right, but when lakhs of people buy it, the fund can buy enough stocks and your returns will be weighted according to your investment.
6️⃣ Will you return be exactly like Nifty ?
ANS: NO !
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7️⃣As Nifty bees is traded like stock
All the charges are applied . Nippon Nifty etf has a expense ratio of 0.05%

9️⃣ If you are looking for safe and benchamark returns Nifty etfs are best suited.
1️⃣0️⃣ Etf is better in terms of expense ratio
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Difference Between :

How to develop your trading plan

How to Avoid Big Losses In trading ?

1. Avoid Stocks Below 200 ema
2. Sell Stocks in Stage 4 Down Trend
3. Dont Trade Stocks that are moving in Circuits
4. Avoid News based Trading

A thread With examples🧵

Retweet to Educate Your Trading Friends !

A Study Shows that 90% of the winning Stocks stay above 200 ema before a big Advancing Phase

1. Simply Not Holding or Buying Stocks below 200 ema Saves a lot of time and Money.
2. You can looses opportunity Cost if you buy stocks below 200 ema.
3. TimeFrame: Daily 200 ema

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B. Sell Stocks in Stage 4 Down Trend

1. Stocks Exhibiting this are in complete Bear Grip
2. The 30 week ema acts as reference for stage analysis
3. These Stocks can be short sold on pullback to 30wema
4. Happens after Topping Phase
5. TimeFrame : Weekly , 30 Week Ema

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C. Dont Trade Stocks that are moving in Circuits

1. Mostly these stocks are Speculatve and Operator Driven.
2. You never know what is the top of the trend and may get Stuck with Huge Losses

Example : TTML , Alok , Ruchi etc
This is Pyramid Structure and news driven also
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D. Avoid News based Trading
1. Whenever a postive News comes in Market People Jump in Buying the Stocks without thinking .
2. Most of the the times the news is factored in or gets factored after heavy buying
3. Good News can also be bad

Example : PnbBousing , AdaniPower
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The logic of Directional and Non Directional Option selling is explained in Video.
Please take Efforts to watch this

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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

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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

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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

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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

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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

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Many traders have no consistency when sizing their positions.

The pros have this down to a science.

Here's my dead simple, 3-step guide to position sizing (and to outperforming 99% of other traders in the process):

Step 1:

Define how much of your account you're willing to risk per trade.

Personally, I never risk more than 1% of my account equity.

If I have $100,000 account, I will never risk more $1,000.

This ensures I will never blow up my account on one single trade.

There are successful traders who risk 2-3% of their account per trade, but I find it most calming to risk 1% or less.

The first step in this process is completely up to you - only you can dictate how much risk you can tolerate.

Step 2:

Look for entries & exits that are within 5% (preferably less) of each other.

This means if I buy a stock & have a 5% stop loss, I can put a 20% equity position on & still be risking 1% of my equity.

Your account will thank you w/ 20% in a stock that goes up 100%.

Step 3:

Position size using this formula:

Total equity (100%) / Trade Stop Loss %

So, if your stop loss is 4%, here's the math:

100% equity / 4% stop loss = 25% Equity Position Size

(assuming 1% equity risk).

Here's another hypothetical calculation:

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%.

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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.