An expert-driven approach to trading

Follow a stream-lined approach to Contrarian trading where expertise guides you through a graduated learning program. Select pre-screened opportunities that support a complete entry and exit strategy and also track your orders to target with recommended adjustments based on current market sentiment. If you are interested in finding out more about this successful approach to trading and how to become part of this community, please email me direct at randystradingdesk@gmail.com

Friday, June 21, 2019

June 21, 2019- Stocks Pause as Rally Fades

After moving notably higher over the past few sessions, stocks may give back some ground in early trading on Friday. The major index futures are currently pointing to a lower open for the markets, with the Dow futures down by 37 points. Profit taking may contribute to initial weakness on Wall Street, as some traders look to cash in on recent gains after the S&P 500 reached a record closing high in the previous session
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Delivering Consistent Returns



Since Nov 2009 this system has delivered an average of 1.5% per week returns . The "Weekly Average" includes taking a loss on a stock 15% of the time following a prescribed stop-loss.

That means the same $10,000 invested at 1.5% per week would turn into $540,693 after 5 years. That's assuming you are only buying 50% of the recommended picks published for investors.

Now you can see why this is only available to a select number of individuals.

I challenge you to find another solution that provides as detailed a service in terms recommendations, pricing and tracking to target. And, I also challenge you to find one as accurate as this trading solution.

Remember, this is my specialty and a full-time focus as we continue to deliver a graduated learning program to an elite trading community.

randystradingdesk@gmail.com

Successful Trading requires:
1. Following a set of proven disciplines
2. Building confidence that removes emotion
3. Patience know "when to hold em and when to fold em"
4. Continuous Learning

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