Ten MF mistakes I recommend you avoid...

Nano Course On Python For Trading
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Module 3

In this post, I will attempt to teach you how to write an algorithm in python to automatically find support and resistance. We shall use the data we downloaded in module 2.

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To visualize price action, I have used the daily candlestick chart. To quantify the meaning of support and resistance, I have taken below definitions:
In a series of 5 continuous candles, if the first three candles make increasing high and then 2 decreasing highs, then the

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high of the third candle is considered resistance. Similarly, if the first 3 candles make lower lows and the next 2 make high lows then the low of the third candle is support.

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The above explanation is for the sake of quantifying support and resistance at a very basic level. These are called fractals. Now let's get started with the code.

mpl_finance is the new module here. We will use its candlestick_ohlc function.

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Now, if you remember, you downloaded data for nifty 50 stocks in module 2. We shall use that data. Let's work on ITC data this time.
We will use data from 1 Jan 2021 to 30 June 2021.

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This year has been quite something.

But let's try to pick some of the most clownish stories this year had to offer.

Here's to 2020's end of year thread 1/50

Have you got a license for that opinion?

2/50

At least academics remain the same.

3/50

And Sweden didn't change

4/50

Don't have much to say about this one

5/50

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

Cont👇
26/ If you have paid AA tax between 1995-22 it is likely your charges will be lower in 1995 than in 2015 scheme. This is because the AA rules are particularly unfair to members of 2 schemes. If your AA charges go down during any of the remedy period, you can claim a refund

27/ It does not matter if you paid cash for AA or used scheme pays, if you overpaid these charges can be refunded. If you charges go up (unlikely unless you have “MHO” status) you may have to pay back tax. There is usually a statutory limit of 4 years for paying underpaid tax.

28/ This limit of 4 yrs of underpaid tax was referenced in the consultation document 👇, although the position is less clear in the full consultation response. We will need to see the final regulations to understand the implications.

29/ The consultation document also stated that members who choose reformed 2015 in retirement & incurred AA charges would be “compensated”. Again detail in is less clear in the full consultation response. We will need to see the final regulations to understand the implications.

30/An important area are “contingent decisions”. Many members took decisions i.e. “opting out” of the scheme based on the age discrimination. @theBMA argued certain cases should automatically be compensated vs having to prove this on a “case by case” basis