1/ A primer on how I achieved end to end automation via algos.

First up, Why?

Trades execute the moment your setups trigger. No hesitating/panicking/worrying/overthinking when you need to take a new trade daily. That's why. Also, spend less screen time going fwd.

Full Technical Analysis in Single Thread🧵

This whole course is worth 40-50K-

1- Candle sticks and how to use

2- Advanced price action

3- The dow theory

4- Moving

In my 20 years of trading I have noticed this cycle play out again and again with traders that "make it":

1. Overconfidently reach for returns
2. Get humbled by the market
3. Simplify + concentrate on clear, high probability edges.

1/n

Nearly everyone starts with a lack of respect for how hard it is to consistently make money trading.

That leads them to pass over high-probability sources of returns in favor of more marginal ideas.

Or they overcomplicate the trading of a good edge.

2/n

Here's an example...

It is 2015. You look at a simple strategy.

You hold an equal dollar exposure to:
- Cap Weighted US Stocks (VTI)
- 20+ Yr US Treasury Bonds (TLT)
- Gold (GLD)

And rebalance each month.

(I've extended back a bit with mutual fund prices.)

3/n

It made money consistently with a few blips.

You'd have 4x your money from 1997 to 2015.

It makes sense. It's harnessing two big sources of risk premia (equity + duration).

It diversifies across 3 macro assets that tend to outperform in different econ environments

4/n

But, naturally, you turn your mind to how you could do better...

And here is where it gets dangerous!

There are good ways to try to "do better", and there are bad ways to try to "do better".

5/n

A small thread on momentum investing and how I practice it.

I use the Nifty 500 universe for selecting my momentum stocks. Nifty 500, as the name suggests, has 500 companies in it. WRONG !!!! It actually has 501 companies. Yes, I double-checked 🙂 So, these 501 companies is

my talent pool (if you will) from which I select the 50 best candidates that I want to bet my money on.

Ok. So, exactly, did I go about doing that.

Step 1: Start with Nifty 500 universe (501 companies)

Step 2: Eliminate all those companies which have a listing history of

less than 1 year. This eliminated 25 companies (see table).

Step 3: For the remaining 476 companies, I computed their last 12-month rolling price returns (meaning, comparison of their price as on March 31, 2022 as compared to that as on March 31, 2021, and then computing the %

gain that each of those stocks have earned. I found out the following:

a) Average return of all the 476 companies was 43.27% (meaning if their average price as on March 31, 2021 was 100, then their average price as on March 31, 2022 was 143.27)

b) Out of these 476 companies

140 companies, gave a negative return.

c) Out of the balance 336 companies, 46 companies gave single-digit returns

d) Out of the balance 290 companies, 101 companies gave a return between 10-30%

e) Out of the balance 189 companies, 55 gave returns between 30-50%

Full Price Action Course in this thread 🧵

This course is worth 50k

Collaborated with @AdityaTodmal

1/ How to read Candlestick:

Green/Blue candle indicates buyers candle & red candle indicates sellers candle

2/ 24 candlestick patterns explained

3/ Price Action (PA) trading:

PA helps to predict market movements by spotting patterns or ‘signals’ in the price movements of an underlying market.

Learn different price action strategies

4/ How to plot Support &