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Fed Speakers, Beige Book: Daily Contrarian
Good morning contrarians! Stock futures are mixed but cryptos were beaten up overnight and heading lower…

Today we have a pretty big lineup of Fed speakers and the Fed’s ‘beige book’ out at 1400. Also earnings, including $GME which reports after the close.

That $AAPL event as well as fall conference season kicks off.
Paul Cerro's avatar
$36.4m follower assets
The Bear Market Returns
Good morning CommonStock! Stocks look to continue the sell-off from Friday, with futures down across the board and meme stocks getting beat up…

$AMC is down 33% this morning. $GME down about 5%

There is no clear catalyst for this move downward. We have some earnings this week and the Fed’s Jackson Hole Symposium, which kicks off Thursday, but there have not been any new developments where interest rate policy or the economy are concerned.

More here:
Beating the Market With Meme Stocks: $GME Intraday EMA Cross
$GME still gets a lot of attention. For example r/GME sub-reddit community has 361k members with 5–10 daily posts and quite active participation. Moreover GameStop as a company does not shy away from heating up the retail interest and actively engages into market frenzy.

I always thought that in such environment I should be able to make money from rapid runs up and down. Below is a strategy which worked exceptionally well this year.

I would also like to share a disclaimer before the strategy details and results:
> The post is not a financial/investment advice and presented to the audience for educational purposes. Trading stocks is risky, trading meme stocks is crazy.

The Strategy
My whole idea was not to overcomplicate hence I went with just EMA cross. After playing with it a bi at the beginning of the year it appeared that 10min EMA 4×8 Cross worked the best. So I ended up with EMA 4×8 and a trailing stop loss.

Below are a couple of images for lazy readers presenting the strategy and the results for the period from Jan 1, 2022 till Aug 10, 2022.

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The strategy presented have been developed, tested and executed live with Breaking Equity Algo Lab
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