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HOLLY: “On Support” Leads 19 Other Trade Ideas

Of these 20 strategies selected today 13 are Long, bullish in outlook. 7 are Short, bearish in outlook.
HOLLY is the most powerful machine learning analyst that applies Artificial Intelligence to identify tested market opportunities for active investors, advisors, and fund managers. With the ability to adapt and understand changing market conditions in real-time, HOLLY becomes your Virtual Ph.D. on staff, whose optimized algorithms, come with a fully formed trading plan for each opportunity as well as the real-time execution guidance during the market session. Every evening and overnight HOLLY conducts a ‘Quantitative Combine’ that performs over a million simulated trades against 55 different concepts. Each concept has a different purpose designed to beat the market. The AI looks at everything; long, short, cheap and expensive, fundamental, social, technical data and everything volume driven, etc. to identify successful trading probabilities and will change parameters within each concept as needed in order to achieve optimized results. The Quantitative Combine yields each morning a list of 5-10 algorithms graded against proprietary criteria that contain the greatest, statistically tested probability of identifying successful opportunities in the market. The results are displayed in the AI Strategies Window. Only the strategies with a success rate above 60% and a 2:1 Profit Factor are visible the following day. This information advantage saves novices and veterans hours of research and testing. It produces actionable, more informed market intelligence that once experienced, becomes impossible to omit in subsequent market decisions. HOLLY crunches market data in San Diego and if she ever experienced time off, she’d gladly share in the success her clients enjoy and surf. Learn more at www.trade-ideas.com/professional
HOLLY is the most powerful machine learning analyst that applies Artificial Intelligence to identify tested market opportunities for active investors, advisors, and fund managers. With the ability to adapt and understand changing market conditions in real-time, HOLLY becomes your Virtual Ph.D. on staff, whose optimized algorithms, come with a fully formed trading plan for each opportunity as well as the real-time execution guidance during the market session. Every evening and overnight HOLLY conducts a ‘Quantitative Combine’ that performs over a million simulated trades against 55 different concepts. Each concept has a different purpose designed to beat the market. The AI looks at everything; long, short, cheap and expensive, fundamental, social, technical data and everything volume driven, etc. to identify successful trading probabilities and will change parameters within each concept as needed in order to achieve optimized results. The Quantitative Combine yields each morning a list of 5-10 algorithms graded against proprietary criteria that contain the greatest, statistically tested probability of identifying successful opportunities in the market. The results are displayed in the AI Strategies Window. Only the strategies with a success rate above 60% and a 2:1 Profit Factor are visible the following day. This information advantage saves novices and veterans hours of research and testing. It produces actionable, more informed market intelligence that once experienced, becomes impossible to omit in subsequent market decisions. HOLLY crunches market data in San Diego and if she ever experienced time off, she’d gladly share in the success her clients enjoy and surf. Learn more at www.trade-ideas.com/professional

“On Support” Leads The Daily Regime of Optimized Algorithms

Good morning. “‘On Support’, today’s high performing algorithm, headlines the Holly Morning Huddle Report.”

As of today, Thursday, October 11, 2018, the return from my trading performance since January 1 stands at +80.7 accumulated profit points vs the benchmark SPY’s performance of +6.2 points over the same period. On Wednesday my performance was higher +.1 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 Wednesday, the SPY was down -9.1. My Risk-On mode, which extends the holding period for trades until the day’s close, was up +4.1 points.

29 stocks traded yesterday: 15 long and 14 stocks traded short in the following sectors. 14/29 were in the Manufacturing sector.

Today’s a new day and I am prepared for the market open with 20 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.

Of these 20 strategies selected today 13 are Long, bullish in outlook. 7 are Short, bearish in outlook. Ready for anything. The On Support strategy, in the list below, has the highest Win % heading into the Open based on optimized, backtested scenarios.

Here are the algos:

No. Test Win% Strategy L/S
1 67.1 Bollinger Bounce Long
2 68.2 Bon Shorty Short
3 60.3 Breakout Long
4 63.4 Bullish Pullback Long
5 60.3 Buyers Stepping In Long
6 60.5 Downward Dog Short
7 59.3 Float On Long
8 64.6 Little Big Guy Long
9 65.9 Mighty Mouse Long
10 75 On Support Long
11 68.7 Power Hour Short Short
12 71.7 Pushing Through Resistance Long
13 70.7 Putting on the Breaks Short
14 64.8 Quarterback Long
15 68.4 Slippery Slope Short
16 61.8 Strong Stock Pulling Back Long
17 59.3 Tailwind Long
18 67.9 The 5 Day Bounce Long
19 63.6 Topping Formation Short
20 67.9 Trend Trend Play Short 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.

“Inquire about sponsorship opportunities for this series at [email protected].”

Best regards,

Holly

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