BC TRADING
Saved by @Alex1Powell

Analyzed last 12 years of historical data to check if there are any patterns we can observe to find the best time to invest in stocks for long term. #Nifty50 #investing #stocks 1/10

 This is how Nifty moved in last 15 years with three major corrections, in the year 2008,then around 2016 and then year 2020 due to Coronavirus. Only when we look back with hindsight bias we could say those were the best time to invest. But is there really any quantitative method?
200 day moving average is something that is widely used by many investors to check for long term trend. Where investors consider if stocks trades above 200 DMA, its in bullish phase and if it trades below 200 DMA its in bearish phase.
We shall run an analysis to find out of Nifty 50 stocks, how many number of stocks trades above 200 day moving average, higher the number, stronger the market. we need correct data, we cannot test it with current Nifty 50 stocks,
we need list of Nifty 50 stocks that are part of index historically, so when we run for Jan 2008, stocks like RPL, RNRL, UNITECH were part of Nifty 50, so it is essential to test it with correct datasets.
Once we get all the list from 2008 to 2020, we need to find the count for each month, i.e. list of stocks trading above 200 day moving average for each month and plot the graph.
Year 2008 Oct-Dec period, no of stocks trading above 200 DMA was very less, which denotes the extreme fear period, again in 2011, no of stocks that trades above 200 DMA in Nifty 50 were less than 15,
in 2016 no of stocks that trades above 200 DMA in Nifty 50 stocks were less than 20,
and in the year 2020, its less than 10 stocks, if you compare the above data with below Nifty chart, you can easily conclude that those extreme panic period were the times market bottomed out.
Earlier in April when Corona pandemic was extremely high, I wrote an article stating market has bottomed out (https://t.co/fPKJhzvHJl )and exactly within 6 months we are now trading at all time high.
Instead of applying 200 dma on index , no of stocks trading above 200 day moving average can be used as a good quantitative measure to make long term investing decision. Because 80% of Index movement comes from less than 20% of Nifty stocks. Blog details https://t.co/eZz5HznXva

More from Kirubakaran Rajendran

Kirubakaran Rajendran
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I have shared multiple information related to trading and investing through my historical data analysis by writing various articles, here's the master thread that contains all my work in one place.🧵

https://t.co/pc1jr1xBlI


https://t.co/KZJ1FKCXSp


https://t.co/pTnbkjVpr0


https://t.co/3QXmND1x6Y
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A thread on Position Sizing #Trading is the only profession where you can see Doctors, Engineers, and many other successful professionals try their luck with stock market, these people excel in their own respective field but struggle a lot when it comes to trading.1/n

Unfortunately, everybody believes that a successful trader always has a secret Technical Skill. But the truth is Technical skill is the least important factor to be a superstar trader.

Then what separates a great trader from the group of average traders? Its their emotion.


This is how most traders think: They first think about the Entry point, at which price should I buy? At which level should I enter? At which point should I get into a trade?


But this is how you must think to be a profitable trader. You have to adapt to trading strategy that suits your psychology, assign trade management rules, keep position sizing and money management rules.


One of the main reason people lose money in stock market is because of their position size. Example: Vicky starts trading with a capital of Rs. 1,00,000 and he finds a trading opportunity and buys Spice Jet share for Rs. 100. At the max, he can buy 1000 shares of Spice Jet stock.
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https://t.co/gjTHTKyyb2


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Kirubakaran Rajendran
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If you are someone who spends more time on analyzing markets during trading, then this for you. Certain traders will create their own bullish or bearish view in their mind but seek confirmation for their trades which is called as confirmation bias. #tradingpsychology 1/15


We do not like people or information that contradicts our thoughts. We like them when they confirm what we think. Hence, we tend to place more weight on information that confirms our trade position. Example- You think market is bullish & wanted to go on a long position,

Next a new bullish bar prints on the chart. You would think "Yes, my bullish proposition is still valid" (even though this bullish bar is smaller range)

A bearish bar prints. But you think "this bar lacks momentum" (because you already have firm belief that market is bullish)

One more bearish bar follows, pushing against a support level. But you would think "the support level is holding" Bullishness confirmed. Buy more! (even though this bar closed below the support level with clear momentum.)
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Kirubakaran Rajendran
Kirubakaran Rajendran
@kirubaakaran
Whenever #Nifty & #BankNifty closes less than -1% on Fridays, what happens on Monday and what happens on next 30 days. Interesting analysis, will be sharing the details shortly.

Only 7 times in last 11 years, #IndiaVix moved more than 15% on Fridays and only 2 times Vix dropped on following Monday, rest all the time Vix increased on Monday as well.


After Friday’s Vix big move, What happens after 30 days, all 7 times the Vix went up much higher in next 30 days. So this Friday’s fall could be start of the next big volatile sessions in the coming weeks


With 25 years of data, 251 times Nifty dropped < -1% on Fridays, 58% of the time following Monday witnessed further fall, average move on such Mondays are -1.8%


This how Nifty moved in next 30 days, after the Friday fall. Market continued to slide in next 30 days as well. 58% of the time next 30 days returns turned negative.
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Peter McCormack \U0001f451
Peter McCormack 👑...
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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
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- Didn't conserve capital
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- 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:
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Some observations and thoughts on ZILSwap: What went well, its impact on the $ZIL ecosystem and where we need to improve with some concrete plans that are being worked on. A thread:

👇

1/ ZILSwap was launched by @SwitcheoNetwork on Oct 5, 2020 (~2 months old). Soon after, we noticed for the first time, a flurry of ZRC-2 tokens (equiv. of ERC20s on $ZIL) getting launched on the network (even though the fungible token standard had been around for a while).

2/ The ability to provide a marketplace for people to exchange tokens was the trigger for deveopers to start issuing tokens and developing a token economy. In fact, there was a token for which, the entire supply was put on a ZILSwap pool w/o any team withholding.

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Learn about the STEEL SECTOR in this thread

The demand for steel is generally only 1.2 times the GDP & there is no significant growth in our GDP but still the sector has rallied relentlessly, lets try & understand

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The metal sector is broadly divided into 2,
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Shravan Venkataraman \U0001f525\U0001f680\U0001f4b0
Shravan Venkataraman 🔥...
@theBuoyantMan
Working on some execution optimisation related backtesting. I have so far been executing with market orders only. Going towards higher lot sizes, I'd like to optimise for minimal slippage.

First off, on NSE, if you place a market order, you get filled at the best bid/ask right?

If we want to optimise this, the first non-creative idea one can think of is, slicing the order into different lot sizes, and placing a limit order for each slice at the mid point of current best bid & ask.

But this requires your latency to be the least.

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I looked at tick historical data, and there are more than 18-20 ticks in a second (auction and quote combined).

Even if you keep 10 ticks per second, your best bid/ask can shift from the time you place to the time exchange receives the order.

So, the next best thing that people can do is place tranches of orders every 1s, 3s, 5s, 10s, 15s - in their preferred time range, and get filled at the midpoint or best-bid+1/2/3/4/5 in the depth.

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If nothing works, you convert your orders to marketable and get filled at worse slippage.
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Option Trading is very difficult to master as there are so many things to understand.

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A complete course worth Rs 50K for free.

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You'll win more, if you start winning early

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#MFSA
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Perfectly prioritize

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