On a day which gives huge gap at day open, mean reversion strategies works better than trend following/momentum strategies.
Those who are good at pullback trading can easily adapt to reversion and take advantage of current market conditions
More from Aneesh Philomina Antony (ProdigalTrader)
Few concepts upon which day trading systems can be built upon
https://t.co/3eAoEqM7QQ up trending market look for pin bar with good volume
2.Rsi divergence and macd histogram divergence both at the same time on 3 min chart
https://t.co/qrAH9PZ6D3 = Low (15min)
1/7
4.ORB with 15 min candle stick along with support and resistance of previous 5 days
5.Pullbacks in Strong momentum (wide range candles + Volume) stocks
6.ORB with volatility contraction and then wide range candle breakout with volume expansion
2/7
7.Fakeout like spring and Upthrust for entry pullback with low volume
8.CPR analysis with standard pivots
9.PDH/PDL breakout with volume, vwap and RSI confirmation
3/7
10.Horizontal support/resistance from HTF and confirmation of acceptance or rejection in lower timeframe as reversal candlestick patterns with volume confirmation
https://t.co/75kykbExlg writing data and Put Writing data in correlation with price action
4/7
12.Pivots (Fibonacci) and Price action with volume activity
13.Ichimoku set ups with previous day NR4/NR7 scrips with pivots and volume as trading tools
https://t.co/JcwqOZS5L4 and rejections on 100/200 ema
15.EMA20 and rsi divergence with daily trend structure
5/7
https://t.co/3eAoEqM7QQ up trending market look for pin bar with good volume
2.Rsi divergence and macd histogram divergence both at the same time on 3 min chart
https://t.co/qrAH9PZ6D3 = Low (15min)
1/7
4.ORB with 15 min candle stick along with support and resistance of previous 5 days
5.Pullbacks in Strong momentum (wide range candles + Volume) stocks
6.ORB with volatility contraction and then wide range candle breakout with volume expansion
2/7
7.Fakeout like spring and Upthrust for entry pullback with low volume
8.CPR analysis with standard pivots
9.PDH/PDL breakout with volume, vwap and RSI confirmation
3/7
10.Horizontal support/resistance from HTF and confirmation of acceptance or rejection in lower timeframe as reversal candlestick patterns with volume confirmation
https://t.co/75kykbExlg writing data and Put Writing data in correlation with price action
4/7
12.Pivots (Fibonacci) and Price action with volume activity
13.Ichimoku set ups with previous day NR4/NR7 scrips with pivots and volume as trading tools
https://t.co/JcwqOZS5L4 and rejections on 100/200 ema
15.EMA20 and rsi divergence with daily trend structure
5/7
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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.