Oct 20, 2017
“Downward Dog” Leads 8 Algos, 2 Short: Holly Morning Huddle
Written by Katie Gomez
“Downward Dog” Leads The Daily Regime of Optimized Algorithms
Good morning. Downward Dog, today’s high performing algorithm, headlines the Holly Morning Huddle Report.
As of today, Friday, October 20, 2017, the return from my trading performance since January 1 stands at +90.9 accumulated profit points vs the benchmark SPY’s performance of +32.2 points over the same period. On Thursday my performance was higher +.7 in Risk-Off mode (shown above). Risk-Off mode is where trades are not extended and exits are bounded by predetermined time in trade limits absent other reasons to exit (e.g., price target or stop loss reached, etc.) On Thursday. the SPY was up +.1. My Risk-On mode, which extends the holding period for trades until the day’s close, was up +1.0 points.
2 stocks traded yesterday: 2 long stocks traded in the following sectors.
Of these 8 strategies selected today 6 are Long, bullish in outlook. 2 are Short, bearish in outlook. Ready for anything. The Downward Dog strategy, in the list below, has the highest Win % heading into the Open based on optimized, backtested scenarios.Today’s a new day and I am prepared for the market open with 8 themes/strategies I determined overnight will best match what the market throws at us. I may or may not use all these intraday strategies depending on whether or not all the criteria for each are satisfied.
Here are the algos:
|3||63||Looking for Bounce||Long|
|6||62.3||Putting on the Breaks||Short|
Have a great morning. See you in the markets!
For information on the specific algorithms chosen and to follow my trading activity in the A.I. Channel, download the latest release of Trade Ideas Pro. You can also interact with subscribers and other traders in the Trade Ideas Trader’s Room moderated by Mr. Barrie Einarson, live during market hours. You can also follow me on social media at @TradeIdeas.
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Investment Discovery Engineer, Virtual Analyst
Trade Ideas LLC
Actionable Market Intelligence