Trendline is basically use for majoring trend 📈 of any stock.

It is also useful for indentify demand & supply ....

Here it's applications 👇

Full chart learning course 🎓
In single thread 🧵

Process of trading through
price action ✨👇

1⃣Time frame - always start looking chart 📊 with higher time frame (weekly/monthly) then after go for lower one .

Positional trader - weekly/monthly

Swing trader - daily /3hours

Intraday trader - 15/30min

2⃣ demand /supply zone - then draw major/minor demand & supply zone .।।।

Ex : #SIS

3️⃣ Trading style -

⚡If you are positional trader then focus on major demand & supply zone.

⚡If you are swing trader then focus on minor demand & supply zone.

Wait for price to come on it then, 👇

4⃣find consolidation -

⚡Positional trader - consolidation should be above 1/2years.

⚡ swing trader - consolidation should be below 1/2 years

⚡Intraday trader - consolidation should above 5/10 days.

Ex - #galxo / #triveni / #vimta

Full technical analysis courses in one thread 🧵

For free which is Worth ₹80k 👇

⏭️How elliott wave work with examples

⏭️ Advance price action analysis

⏭️ Richard wyckoff theory

⏭️dow theory (my first video)

If you wanna learn how market behave in long term & short term

You must watch full video 🎥

Top 10 price action (secrets) lessons which I learned after 6 years of experiences.

1⃣ - When market recover the strongest stocks recover very fast & will ready for new high

Ex -#gael

after correction of #nifty , it fell then again recovered very fast & furious way

2⃣ - If stock never come to retest it's weekly & monthly breakout zone then the chances of it's 2x is much more.

Ex - #datamatic after BO 5 year never retest BO zone & consolidating near high.

Chances of it's 2x is much more 🌠

3️⃣ If stock is giving BO of all time high or more then 1 year range with high volume then it can give 20/30% return in few weeks.

Ex -#mawana sugar after given 1 year BO of all time high given 22% return in 4 days

4⃣ - If its sector & market both are silent & only few stocks are trying to breakout then the chances of it's failure is very high.

Ex - #hindoilexp

In jan /feb trying to BO but market & sector didn't support so failed 👎

5⃣ - If stock is accumulating or standing near it's big resistance or support then it's chances of BO /BD is much more.

Ex - #sapphire food

From past 7 days was standing near major resistance chances of BO is very high....

A thread about GameStop:

Big hedge funds made big bets that GameStop’s stock was overvalued. The way these bets work is the hedge fund borrows shares of the stock and sells those borrowed shares.

When it comes time to give the borrowed shares back, they buy them on the market, hopefully at lower prices. For example, they might sell the borrowed share at $50, hoping to be able to buy the share back at $30, to make a $20 profit. This is called shorting.

The hedge funds were so sure that GameStop was going down, that GameStop was the most shorted stock on the market. 140% of the shares in existence were “borrowed.” Imagine Bob borrows from Jane who borrows from Sue who borrows from John.

Shorting is risky, but the hedge funds were so sure that they just didn’t even care. People on Reddit realized this and basically thought “what if we all just bought shares and refused to sell them when the hedge funds need to give their borrowed shares back.”

The price goes up, the hedge funds are forced to buy back the expensive shares and lose money. Except the hedge funds kept doubling down as the price rode up, expecting that it would eventually fall. The Redditors weren't scared off and with "diamond hands" refused to sell.

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.

Everyone should own a digital asset that earns $2,000 per month.

Here are 10 dead-simple ways you can make your First $1 online (from people who actually did it):

🐦 Analyze viral Tweets

1. Get Twemex (free chrome extension)
2. Find influencers with viral tweets
3. Identify why they went viral
4. Put your analysis on a document.
5. Upload it to Gumroad
6. Sell it

H/t @BrianFOConnor

🔢 Extract data from yellow pages into excel

1. Find a B2B/B2C niche that needs offline data
2. Choose a digital platform (Excel, Airtable ..)
3. Move the data to the digital platform
4. Hire someone on Fiverr to do it
4. Sell it on gumroad

H/t @SachinRamje

🎨 Design flyers and graphics

If you are good at designs:

1. Find a niche (ex: Vegan resturants)
2. Create a profile on Upwork
3. Upload a portfolio
4. Start with a low charge per hour/design
5. Steadly increase your charge

H/t @abdussalampopsy

🏋️ Become a coach

1. Decide on a target persona
2. List down your achievements
3. Update your social profiles
4. Create a calendar account
5. Create content with CTA to book a call

H/t @OllieEmberson

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