ELCARO QUANTUM TRADE


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Toifa: ko‘rsatilmagan


Welcome to our channel! 🤝
Here, you'll get free recommendations based on a quantum algorithm. ⚛️
We provide precise guidance on when to build your position and how to BUY or SELL assets in parts📈
We're trading crypto, stocks, and indices

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ko‘rsatilmagan, ko‘rsatilmagan
Toifa
ko‘rsatilmagan
Statistika
Postlar filtri


Video oldindan ko‘rish uchun mavjud emas
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🎥🎥 are about to reveal #SatoshiNakamoto personality
on the Oct. 9 🪙$BTC


💲/💰 $USDUAH #forecast #recommendation

If you look at the ICE 💰$UAH quotes, you might notice it's data gap.

Instead we can use 🧠Budapest Stock Exchange futures quotes, which provide everyday data.

🙂 https://ru.tradingview.com/chart/USDUAH1!/IVC8YS13-uah-forecast/


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While using our Quant Algorithm you were able to know when the 2️⃣$ETH was about to start it's correction phase (φ).

Probably some other 👤 #VitalikButerin singing soon?)


С 15 октября, цена на индикатор вырастет на 20-30%.
Бронируйте места, товарищи.
Либо ждите «блек фрайдей» может там сделаем скидку 50%, но кто знает от какой цены 🙃
Спасибо всем за доверие! Работаем дальше


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You were ahead informed about the future 🅰️$AMZN price dynamics almost two months ago.
DM😂@trushkovskiy in order to get access to our 📝📝📝Quant Algorithm.


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😀 Yesterday you 😂 were told of the upcoming 🪙$BTC bounce move because of the 🐃 divergences.
Simple as that: you know the way 🛣, you watch the ⬆️ signs.


ELCARO VIP dan repost
🪙$BTC ще нижче; згідно своєї фази (φ).




Цена 300$/месяц

Оплата USDT TRC20:
TK1rWftaNMADkeEaVc291mhu69xxV1fE9d

Оплата на моно (курс 42)
4441114454899541

После оплаты пришлите скриншот лично мне @trushkovskiy


😀 In this post 😂 @trushkovskiy told about the future 🪙$BTC decline. Since then the main cryptocurrency lost about 4%.

Before that you were informed of September's growth and when it was about to stop.
📝📝📝Math is wealth!


Спасибо большое индикатор отрабатывает


ELCARO VIP dan repost
Такое тоже возможно, мы все понимаем и с удовольствием пойдем всем на встречу, но только после «предубеждения» в личные сообщения


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#мануал як користуватися алгоритмом від одного з наших підписників. Лайк 👍 однозначно!


Ддя всех, кто не понимает как пользоваться индикатором и что ииенно вы получите после оплаты прикрепляем видео одного из пользователей 🤝


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Among an 👾 infinite amount of future uncertainty, our 📝📝📝 Quant Algorithm is able to select the most probable scenario in order to #forecast the 🧠Random Process.
dSₜ = μSₜdt + σSₜdWₜ + JSₜdNₜ


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😀 Knowing the future is priceless.

🐹$HMSTR

With our Quant Algorithm you can see when the trend is changing, and #forecast what the price is going to do!




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We're already #forecast 'ing and know the trend on 🐹$HMSTR

Contact 😂 @trushkovskiy in order to get access to our Quant Algorithm.


#fearandgreedindex
Y'all know about the #CNN 😳 Fear and Greed Index, but not many are willin' to figure out it's 🤯 methodology.
📝(Nᵢ × Wᵢ), for i = 1 to 7
Where:
N₁ = Market Momentum (S&P 500 relative to its 125-day moving average)
N₂ = Stock Price Strength (Number of stocks hitting 52-week highs vs lows)
N₃ = Stock Price Breadth (Volume of shares trading on the rise vs fall)
N₄ = Put/Call Ratio
N₅ = Market Volatility (VIX)
N₆ = Safe Haven Demand (Difference in returns for stocks vs bonds)
N₇ = Junk Bond Demand (Spread between yields on investment-grade and high-yield bonds)
The weights represent the importance assigned to each of the components.


As you might notice, this index is lagging, 'cause all it's components are the market's derivatives. And the weights can be adjusted randomly.
🙂 CNN Fear&Greed indicator
∑(Nᵢ × Wᵢ) / ∑ Wᵢ, for i = 1 to 7
Where:
M₁ = (S&P 500 − SMA(125)) / Normalization over 252 days
M₂ = (New 52-week Highs − New 52-week Lows) / Normalization over 252 days
M₃ = (Volume of rising stocks) / (Volume of rising + falling stocks)
M₄ = Put/Call Ratio (normalized over 252 days)
M₅ = VIX value (normalized over 252 days)
M₆ = (Stock returns − Bond returns) / Normalization over 252 days
M₇ = (High-yield bond yield − Investment-grade bond yield) / Normalization over 252 days
Each component is multiplied by its respective weight and the total is divided by the sum of the weights.
Summary: all this index can say is just - "the market grew up" or "the market fell down".


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📖 #History rubrics. Year 2001.

This is how the Quant Algorithm would've forecasted ✈️$BA stocks crash long before 🧠9/11 attacks happened.

20 ta oxirgi post ko‘rsatilgan.