I got many requests to create a screener to shortlist the breakout stocks.
Well, here is one!
Finally, my friend created a "screener" to shortlist the breakout stocks.
It saves over 95% efforts & it is FREE!
Read the article to download it &
More from Indrazith Shantharaj
A Gap Open is a Big Headache for Intraday Traders.
Nowadays everyday market is opening with big gaps.
Solution?
Shifting to Stocks!
But How to Pick Good Stocks for Tomorrow's Trading?
Presenting 11 FREE Screeners to scan Stocks for the Next Trading Day!
Thread 🧵
(1/N)
MYFNO - To Know the Stocks Which Received High and Low Open Interest (OI)
https://t.co/FURZDTArKK
(2/N)
Shortlist Bullish Momentum Stocks
This Screener shortlists all the bullish momentum stocks from NSE for the next day's trading (based on price action).
https://t.co/3teN7JLDMs
(3/N)
Screeners Based on Price (ex: Previous Day Breakout, Weekly Breakout, Monthly Breakout, etc.)
https://t.co/Y5naQIx967
(4/N)
Volume Shockers - Stocks that received a huge volume
https://t.co/u9LTY5Yiir
(5/N)
Nowadays everyday market is opening with big gaps.
Solution?
Shifting to Stocks!
But How to Pick Good Stocks for Tomorrow's Trading?
Presenting 11 FREE Screeners to scan Stocks for the Next Trading Day!
Thread 🧵
(1/N)
MYFNO - To Know the Stocks Which Received High and Low Open Interest (OI)
https://t.co/FURZDTArKK
(2/N)
Shortlist Bullish Momentum Stocks
This Screener shortlists all the bullish momentum stocks from NSE for the next day's trading (based on price action).
https://t.co/3teN7JLDMs
(3/N)
Screeners Based on Price (ex: Previous Day Breakout, Weekly Breakout, Monthly Breakout, etc.)
https://t.co/Y5naQIx967
(4/N)
Volume Shockers - Stocks that received a huge volume
https://t.co/u9LTY5Yiir
(5/N)
4 factors to measure the performance of a trading system:
1 - Accuracy
There is no such thing as 90% Accuracy without compromising on other factors (like profit factor, etc)
Fact - A good trading system will have only 35-60% accuracy without compromising other factors.
(1/n)
2 - Profit Factor (PF)
It is similar to risk-reward. It is derived using the below formula:
Profit Factor = Total Profit by winning trades / Total loss by losing trades
Fact - A trading system above 1.2 PF is good if it scores well with other factors.
(2/n)
3 - Maximum Drawdown
The maximum drawdown also plays a vital role psychologically while picking a trading system.
Fact - Maximum Drawdown in any trading system should not exceed 20%. I suggest picking only the techniques which have less than 10% maximum drawdown.
(3/n)
4 - Maximum Consecutive Losers
We all feel bad even if we lose only Rs.1,000 in a trade. Because it is not only about the money, it is emotionally difficult to accept the failure.
Fact - A good trading system will have less than 15 consecutive losing trades.
(4/n)
TRADE LIKE CRAZY
10 Profitable Intraday Trading Systems, which are backtested against 10-years of Banknifty Historical Data!
(n/n)
https://t.co/BuUie17Ish
1 - Accuracy
There is no such thing as 90% Accuracy without compromising on other factors (like profit factor, etc)
Fact - A good trading system will have only 35-60% accuracy without compromising other factors.
(1/n)
2 - Profit Factor (PF)
It is similar to risk-reward. It is derived using the below formula:
Profit Factor = Total Profit by winning trades / Total loss by losing trades
Fact - A trading system above 1.2 PF is good if it scores well with other factors.
(2/n)
3 - Maximum Drawdown
The maximum drawdown also plays a vital role psychologically while picking a trading system.
Fact - Maximum Drawdown in any trading system should not exceed 20%. I suggest picking only the techniques which have less than 10% maximum drawdown.
(3/n)
4 - Maximum Consecutive Losers
We all feel bad even if we lose only Rs.1,000 in a trade. Because it is not only about the money, it is emotionally difficult to accept the failure.
Fact - A good trading system will have less than 15 consecutive losing trades.
(4/n)
TRADE LIKE CRAZY
10 Profitable Intraday Trading Systems, which are backtested against 10-years of Banknifty Historical Data!
(n/n)
https://t.co/BuUie17Ish
More from Screeners
TradingView isn't just charts
It's much more powerful than you think
9 things TradingView can do, you'll wish you knew yesterday: 🧵
Collaborated with @niki_poojary
1/ Free Multi Timeframe Analysis
Step 1. Download Vivaldi Browser
Step 2. Login to trading view
Step 3. Open bank nifty chart in 4 separate windows
Step 4. Click on the first tab and shift + click by mouse on the last tab.
Step 5. Select "Tile all 4 tabs"
What happens is you get 4 charts joint on one screen.
Refer to the attached picture.
The best part about this is this is absolutely free to do.
Also, do note:
I do not have the paid version of trading view.
2/ Free Multiple Watchlists
Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free
3/ Free Segregation into different headers/sectors
You can create multiple sections sector-wise for free.
1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.
Kinda like how I did in the picture below.
It's much more powerful than you think
9 things TradingView can do, you'll wish you knew yesterday: 🧵
Collaborated with @niki_poojary
1/ Free Multi Timeframe Analysis
Step 1. Download Vivaldi Browser
Step 2. Login to trading view
Step 3. Open bank nifty chart in 4 separate windows
Step 4. Click on the first tab and shift + click by mouse on the last tab.
Step 5. Select "Tile all 4 tabs"
What happens is you get 4 charts joint on one screen.
Refer to the attached picture.
The best part about this is this is absolutely free to do.
Also, do note:
I do not have the paid version of trading view.
2/ Free Multiple Watchlists
Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free
\U0001d5e0\U0001d602\U0001d5f9\U0001d601\U0001d5f6\U0001d5fd\U0001d5f9\U0001d5f2 \U0001d600\U0001d5f2\U0001d5f0\U0001d601\U0001d5fc\U0001d5ff \U0001d604\U0001d5ee\U0001d601\U0001d5f0\U0001d5f5\U0001d5f9\U0001d5f6\U0001d600\U0001d601 \U0001d5fc\U0001d5fb \U0001d5e7\U0001d5ff\U0001d5ee\U0001d5f1\U0001d5f6\U0001d5fb\U0001d5f4\U0001d603\U0001d5f6\U0001d5f2\U0001d604 \U0001d602\U0001d600\U0001d5f6\U0001d5fb\U0001d5f4 \U0001d601\U0001d5f5\U0001d5f2 \U0001d5d9\U0001d5e5\U0001d5d8\U0001d5d8 \U0001d603\U0001d5f2\U0001d5ff\U0001d600\U0001d5f6\U0001d5fc\U0001d5fb!
— Sarosij Ghosh (@sarosijghosh) September 18, 2021
A THREAD \U0001f9f5
Please Like and Re-Tweet. It took a lot of effort to put this together. #StockMarket #TradingView #trading #watchlist #Nifty500 #stockstowatch
3/ Free Segregation into different headers/sectors
You can create multiple sections sector-wise for free.
1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.
Kinda like how I did in the picture below.
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1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.