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>> No.58343502 [View]
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58343502

>>58343481
Just a lil prank!

>> No.57596684 [View]
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57596684

>>57596650
Sometimes we have a little fun in the market.

>> No.57238111 [View]
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57238111

EVERYONE is getting trolled!

>> No.56197624 [View]
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56197624

>>56197597
We do a little trolling.

>> No.55184788 [View]
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55184788

First.

>> No.55133192 [View]
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55133192

Baking...

>> No.53238623 [View]
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53238623

>>53238596
>>53238612
Now the real question is if he's just a troll or actual retard doomer.

>> No.52339578 [View]
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52339578

>>52339529
Literally, unironically, to troll you.

>> No.51540081 [View]
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51540081

>>51539371
t.

>> No.50033000 [View]
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50033000

>>50032915

>> No.49924488 [View]
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49924488

>>49924466
We warned you about troll market, bro.

>> No.6856115 [View]
File: 62 KB, 497x453, Trollololl.jpg [View same] [iqdb] [saucenao] [google]
6856115

>>6855744
>Was the rush of feeling like the "smart guy" on Twitter and other forums worth letting the cat out of the bag R*ddit scum?

Yes, yes it was.

Haha you got me!

>> No.2628078 [View]
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2628078

>>2627760
>>2627929
Look, the casino does not know if it will win any particular set of plays on the roulette table. Let us consider only odd/even, black/red, first/second half bets. An American roulette table has a 0 and 00, as well as numbers 1 to 36, and the colors red and black distributed among the 36 (0 and 00 are colorless/green). The payout to the gambler on the halfsies bets is 1:1. The odds of the gambler winning is 18/38. The odds of the house winning is 1-18/38 = 20/38.

Therefore, we can calculate the player's "expectancy," which combines the player's risk/reward and strike/loss rates as so:
Expectancy = strike_rate*reward+(strike_rate-1)*risk

The player's roulette expectancy playing halfsies is:
-($0.054) = 18/38*$1+(-20/38)*$1

Which means, for every $1 the player gambles he is expected to have an average outcome of losing 5.4 cents, over the long haul. The casino has the positive expectancy.

Setting up your trades to be 3 profit : 1 risk only needs to be matched with an entry/bias selection system which is at minimum 33% right to break even. At 40% accuracy you are printing money by trading the system.

Now, why is it smart to have only 2% risk? What's the chances of hitting a losing streak of X size on a 40% accurate bias/entry selector? How big must X be to cut your account in half? Into a third? Etc. It's called risk of ruin, and by keeping a smaller-than-profit risk/stop, you are reducing risk of ruin. Your win rate will be down (you will be wrong more often than right), but if your system has positive expectancy you will profit.

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