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Monday, 10/29/2012 12:59:44 PM

Monday, October 29, 2012 12:59:44 PM

Post# of 34
About Day Trading Algo

Day Trading Algo was designed in order to help intraday U.S. equities traders, specifically those traders who find themselves at home, struggling to find their way to consistent profitability. We have spent years honing our strategies as discretionary day traders, and felt the need to evolve with the market in order to take advantage of today’s market. We have taken our A+ trading setups, those setups that offer us the best risk v. reward profile and the highest probability of working in our favor, and put them into back-tested algorithms in order to help us quickly identify our favorite setups.



What we offer is access to a screen sharing program that streams the alerts of our algorithms in real time each day. There is no software to download, and no programming to be done. All you have to do is login each morning and view the the algorithms as they stream real time alerts that meet our specific criteria for high probability trades. We offer both long and short strategies so traders of any style have trading ideas to look at.



There is no catch and no hidden agenda. These are the exact same strategies and alerts that we employ with our own capital, and we are providing access to them so that we might help traders accelerate their learning curve and path to consistent profitability. We thought about what kind of tools we wish we had access to when we first began trading, and the result was Day Trading Algo.



Each strategy has been designed and back tested with specific entry and exit parameters that will be provided to each member. The alerts are not a solicitation to purchase securities and we are not registered investment advisers. Each individual member should perform their own due diligence and decide whether or not a trade is right for them. We do not recommend that members trade money that they cannot afford to lose as investing/trading is risky, and you could lose all or most of your investment. The past performance of the strategies does not indicate future success.

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