We develop this course with the intention for competent options traders to expand their repertoire of trade opportunities, by acquiring the speciality skillset to trade the US Earnings Season with fearless confidence, despite the unpredictabily and volatility.
All seasoned traders know that with the right skillset, the quarterly US Earnings Season is a tremendous recurring opportunity to make a lot of money in extremely short period of time.
With as many as 2,800 and 3,300 stocks listed on NYSE and NASQAQ, respectively, even an extremely skillful advanced trader needs a strategy to optimise his/her trading productivity, in order to maximise making the most profitable trade opportunities.
Hence, the approach of this course will be based on the desired outcome of enabling you to
spend less time on research, technical analysis, trade finding and other preparatory works
make less trades, and shorter trades; while making more money per trade
The programme consists of
Part 1 -
3 sessions (total 12hr) of skillset acquisition, each a combination of
Classroom Learning for you to learn;
LIVE Market Learning to immediate apply your learning to trade during the US market session, under the personal supervisory oversight of your coach.
The skillset you will acquire includes
how to use Options Premium Analysis as a forward-looking analysis tool (vs backward-looking technical analysis) to raise the predictability of the market’s reaction, and a stock’s price action behaviour, following its earnings announcement.
how to find trade opportunities before – during – after earnings announcements without extensive technical analysis or any research.
how to manage
Capital by trading with Stop-Loss money.
Risk by doing Fixed-Risk trades (vs open-risk trades).
Trades with 6 different strategies to cover all possible market conditions during the earnings season
how to use a trading capital as little as just $500 only with as high as 80% success.
Part 2 -
1 year (total 24hr) of post-course Refreshment & Re-Learning seminars and webinars held during the quarterly US Earnings Season period.