@focusinthemirror: Eu sou eu, essa é a minha vida! 💭... #ninja #douglasviegas #mentalidade #superação #motivação

Focus in The Mirror
Focus in The Mirror
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Region: BR
Wednesday 01 April 2026 23:26:15 GMT
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bocade09ooficiall0
chinelao22cm :
eu com 23 anos tava com um astra em menos de 2 anos troquei para um focus 2013 apesar de ter conquistado eu n consegui sentir felicidade
2026-04-04 01:00:39
325
avelanse.guimares1
Avelanse Guimarães :
bla bla bla bla
2026-04-04 15:30:35
27
imperialexylity
IMPERIALexylity :
quem quer viver de verdade leva a verdade
2026-04-02 00:10:41
246
liria.cardoso
Líria Cardoso :
Eu no meu trabalho 😹😹😹
2026-05-16 23:36:44
7
jailson.barbosa.n
Jailson Barbosa Nunes Jailson :
Eu aos 47 anos tive que me fazer essa pergunta! EU TÔ FELIZ??? Eu era ou me esforçava pra ser a felicidade dos outros, e mesmo assim nunca era suficiente! Daí tive que pensar mais em mim e deixar os outros se virarem por conta própria.
2026-04-08 14:38:27
32
samuelgrigorio07
grigorio samuel :
qual nome da música por favor
2026-04-14 15:43:48
6
cortebrabo360
Corte Brabo :
Poderosíssimo Ninja e suas palavras!
2026-06-07 23:17:27
8
jimy.martins
A :
boaa,verdade
2026-04-03 21:01:52
8
liabe011
liabe :
Esse é o segredo, vamos longe deixando a vaidade de lado, querer sempre mostrar para o próximo que somos capaz de algo, quando colocarmos em prática que fazer no seu tempo e para você tudo muda, o peso realmente é diferente
2026-04-02 08:39:10
44
marlisilva047
Marli Silva :
eu nao tenho gente que eu sejam gente dela ma nao sou tô feliz
2026-04-03 23:58:56
10
mccarlin13
McCarlin13 :
Eu também não sou quem vocês querem
2026-04-03 15:00:11
7
dadin_xit_01
DADIN XIT :
Quando vc entende realmente essas palavras vão ver que só é feliz quem tem o livre arbitro
2026-04-03 02:02:12
17
anninhalena
AnninhaLena :
Certo👍
2026-04-02 23:23:00
6
nerinaldo.ferreir1
Nerinaldo Ferreira 😎 :
Glória a Deus
2026-04-02 16:57:46
5
casaadescomplicada
Casa Descomplicada :
eu sou eu
2026-04-02 10:33:07
8
990meudia
ALEXANDRE :
sera😏
2026-04-02 02:41:00
13
gabriel.01777
G̷̸̶̷̸̶̷̸̶ab̷̸̶̷̸̶ri̷̷̸̶e̷̸̶l❖ :
2026-04-02 18:02:57
5
jnior.g3tr
Júnior G3tr :
nome da música?
2026-04-03 21:31:12
17
pipico_freestyle
pipico_freestyle :
foco
2026-04-02 00:37:54
5
vyncelife
Vynce Life :
fato!
2026-04-30 20:49:18
1
cortepod93
cortes pod :
É isso
2026-05-29 14:46:18
2
angelicagabylife
Angelica Gabriell897 :
e aí ce ta feliz pai?
2026-06-19 19:01:07
3
user472913992
Luis Alberto :
e
2026-05-06 02:32:48
3
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Other Videos

If you trade prop firms you need to watch this.  Most traders approach prop firm challenges with gut feeling. The firms approach them with mathematics. That’s the problem. A recent research paper by an independent quantitative researcher from Spain examines prop firm challenges through something called a barrier-crossing model. Think about it: You have a profit target you need to reach, and a maximum drawdown you cannot breach. Your objective is to hit the profit target before hitting the loss limit. This is fundamentally a mathematical problem involving probabilities, risk and the path your account takes. Prop firms operate within carefully structured risk frameworks. Their rules aren’t random. They are designed around the economics and risk constraints of the business. So why are so many traders still approaching these challenges with nothing but technical indicators, intuition and gut feeling? If the other side is using mathematics, shouldn’t you be doing the same? This is precisely where quantitative tools and machine learning can make a difference. At ApolloAlpha, our machine learning models are trained to forecast price-barrier events using historical market data. Every week, ApolloAlpha estimates the probability of whether the previous week’s high or low will be breached. Take this actual example: ApolloAlpha forecast a 69% probability of the previous week’s low being breached. The market subsequently broke below that level. Imagine knowing the market’s statistical bias before the trading week even begins. Instead of taking trades in both directions indiscriminately, you can use that information to filter opportunities, focus on setups aligned with the forecast, and identify potential price targets. Of course, a correct price-level forecast doesn’t guarantee a profitable trade. Execution, position sizing and drawdown management still matter. But the point is simple: Stop trading blindly. Start incorporating probabilities into your decisions. They use mathematics. You should too. Try ApolloAlpha and get your weekly market probability forecasts. 🌐 https://apolloalpha.app #QuantitativeTrading #PropFirmChallenge #MachineLearning #AlgorithmicTrading #ApolloAlpha
If you trade prop firms you need to watch this. Most traders approach prop firm challenges with gut feeling. The firms approach them with mathematics. That’s the problem. A recent research paper by an independent quantitative researcher from Spain examines prop firm challenges through something called a barrier-crossing model. Think about it: You have a profit target you need to reach, and a maximum drawdown you cannot breach. Your objective is to hit the profit target before hitting the loss limit. This is fundamentally a mathematical problem involving probabilities, risk and the path your account takes. Prop firms operate within carefully structured risk frameworks. Their rules aren’t random. They are designed around the economics and risk constraints of the business. So why are so many traders still approaching these challenges with nothing but technical indicators, intuition and gut feeling? If the other side is using mathematics, shouldn’t you be doing the same? This is precisely where quantitative tools and machine learning can make a difference. At ApolloAlpha, our machine learning models are trained to forecast price-barrier events using historical market data. Every week, ApolloAlpha estimates the probability of whether the previous week’s high or low will be breached. Take this actual example: ApolloAlpha forecast a 69% probability of the previous week’s low being breached. The market subsequently broke below that level. Imagine knowing the market’s statistical bias before the trading week even begins. Instead of taking trades in both directions indiscriminately, you can use that information to filter opportunities, focus on setups aligned with the forecast, and identify potential price targets. Of course, a correct price-level forecast doesn’t guarantee a profitable trade. Execution, position sizing and drawdown management still matter. But the point is simple: Stop trading blindly. Start incorporating probabilities into your decisions. They use mathematics. You should too. Try ApolloAlpha and get your weekly market probability forecasts. 🌐 https://apolloalpha.app #QuantitativeTrading #PropFirmChallenge #MachineLearning #AlgorithmicTrading #ApolloAlpha

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