Crash Canary Update – For Friday

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Shield your portfolio from the “too big to fail” institutional traders, the banks and hedge funds… from the cheating and manipulating “high frequency traders”… from the billionaire raiders and activists who can crush company after company like bread sticks just to line their pockets with YOUR MONEY. To discover how you could finally tilt the playing field in YOUR favor Tap here


Crash Canary Status: Happy

Crash Canary Status 4/28/16: (100% stocks). 
Highes ranked
Highest Ranked Positions 4/28/16: XLI (Industrials), XLB (Materials)




Current Positions: XLU (Utilities), XLP (Consumer Staples)


(Remember: What you trade is your choice. This is not a solicitation to buy or sell anything)


AvoidBottom 2 sectors to AVOID: Biotech (IBB), XOP (Oil & Gas Exploration)





The REAL “Look over Dan's shoulder” $100,000 portfolio started 
May 9th, 2014 is now worth: 

(As of 3/30/16. NOT HYPOTHETICAL) 

Crash Canary Performance 2002-Now (+475%)

About the Crash Canary: Well into the 20th century, coalminers used canarys to detect poisonous gases. Canary's would become sick faster than the coalminers, giving them time to get to safety.

Like an actual canary, the Crash Canary is much more sensitive than a human being to the stock market. Often times, warning us months in advance before the bad news finds its way to the public.

Based on scientific research conducted back to 1926, the Crash Canary invests in US bonds and stock sectors once a month. Consider it a “lite” yet fully functional trading model derived from the global Atlas Order strategy. Both have performed exactly as advertised in the harshest environment known to any trading model:

The future.

Government required disclaimer: The results listed herein are based on hypothetical trades unless otherwise noted. Plainly speaking, these trades were not actually executed. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under (or over) compensated for the impact, if any, of certain market factors such as lack of liquidity. You may have done better or worse than the results portrayed.