Sectoral Watch – Most Discussed Education Stocks
Reblog: 10 Great Technical Trading Rules
Only price pays. In trading, emotions and egos are expensive collaborators. Our goal as traders is to capture price moves inside our time frame, while limiting our drawdowns in capital.
The longer I have traded, the more I have become an advocate of price action. Moving away from the perils of opinions and predictions has improved my mental well-being, and my bottom line. It also makes it easier to create and adapt to trading rules.
“WE LEARNED JUST TO GO WITH THE CHART. WHY WORK WHEN MR. MARKET CAN DO IT FOR YOU?” – PAUL TUDOR JONES
In developing a trading system of your own, you must begin with the big picture. First, look at the price action and then work your way down into your own time frame. You need to create a systematic and specific approach to entering and exiting trades, executing your signals with the right trailing stops, setting realistic price targets and position sizing, and limiting your risk exposure. Relying on fact, rather than being tossed around by your own subjective feelings, will insure your long term profitability.
Reblog: 3 Valuable Trading Psychology Tips From Our Loss In $SQQQ
The mind of a trader
Knowledge has to be improved, challenged, and increased constantly, or it vanishes – Peter Drucker
We couldn’t agree more, especially in the business of stock trading; the more you learn, the more you earn.
As such, much of the knowledge we share on this blog focuses on recapping technical chart patterns of past stock and ETF trades that led to successful, profitable outcomes.
However, equally priceless lessons can be learned by walking through losing trades that did not work as expected.
In this article, we share three insightful, psychological tips (or reminders for experienced traders) from our recent losing swing trade in $SQQQ.
Grab your notebook and continue reading to improve your success as an equities trader…
Reblog: Artificial Intelligence will chomp down a chunk of India’s present knowledge economy
The decision by consulting major Capgemini to replace nearly 40% of its work done by its resource management group with IBM’s cognitive computing system, Watson, is a clear indication that it is not just repetitive or mechanical jobs that are at risk. Artificial intelligence (AI) is capable of taking on those tasks that require analytical skills. The tasks from education and skill development just got tougher.
By 2025, 70% of India’s population is projected to be of working age. A chunk of India’s present knowledge economy would have been chomped down by AI. As the knowledge economy evolves, India’s ability to continue playing a big role in that depends on swiftly raising the quality of education.