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To produce 1 bitcoin, total cost = electricity cost + labor cost + warehouse cost + etc.…

Average Electricity cost now is 60k
Total cost is much bigger

But BTC is being traded at 56k

How can retail-miners survive ?

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A big move BTC 2 days ago with huge liquidation is only 10%

BTC is getting old….

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Here is what is on your mind (holders)

Patienly wait bullrun to finish and get out market.

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BTC is no longer young and the movement is no longer wild.

In my view, SOL in this cycle is moving like BTC, ETH when they were young.

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To identify a function that describes the pattern of percentage increases from the last all-time high (ATH) across cycles, we can analyze the given data points:

1. First cycle: up 3500% from last ATH
2. Second cycle: up 1700% from last ATH
3. Third cycle: up 240% from last ATH

Let's denote these percentages as \( P_1, P_2, P_3 \) respectively:
- \( P_1 = 3500 \)
- \( P_2 = 1700 \)
- \( P_3 = 240 \)

If we aim to find a function \( f(n) \) where \( n \) is the cycle number, we might consider an exponential decay function of the form:

\[ P_n = a \cdot b^n \]

where \( a \) is the initial value, and \( b \) is the decay factor. We need to find \( a \) and \( b \) using the given data points.

Let's set up the equations using the given points:

1. \( P_1 = a \cdot b^1 = 3500 \)
2. \( P_2 = a \cdot b^2 = 1700 \)
3. \( P_3 = a \cdot b^3 = 240 \)

Using these equations, we can solve for \( a \) and \( b \).

First, divide the second equation by the first:

\[ \frac{P_2}{P_1} = \frac{a \cdot b^2}{a \cdot b^1} = b \]
\[ \frac{1700}{3500} = b \]
\[ b \approx 0.4857 \]

Next, use \( b \approx 0.4857 \) in the first equation to find \( a \):

\[ 3500 = a \cdot 0.4857^1 \]
\[ a \approx 3500 / 0.4857 \]
\[ a \approx 7203.61 \]

Now, let's verify this with the third equation:

\[ P_3 = a \cdot b^3 \]
\[ 240 \approx 7203.61 \cdot 0.4857^3 \]
\[ 240 \approx 7203.61 \cdot 0.1143 \]
\[ 240 \approx 822.99 \]

The approximation is not exact, so the exponential model might not perfectly fit. Another potential model could be a polynomial regression. However, for simplicity, let's use the exponential decay model to predict the percentage for the fourth cycle:

\[ P_4 = 7203.61 \cdot 0.4857^4 \]
\[ P_4 \approx 7203.61 \cdot 0.0555 \]
\[ P_4 \approx 400 \]

Therefore, the percentage increase for the fourth cycle, based on the exponential decay model, would be approximately 40%.

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around 100k-110k

Then It will be over.

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👀

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Gm

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+10%

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BTC electricity cost: 60k
BTC total production cost: 100k

This is the first time in my trading career I see BTC even went below Electricity cost.

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Any infos about CZ now ?

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Bitmex Whales added another 12k BTC today.

35k Bitcoin in total are added in 2 days.

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down 84% already
Only 85M$ marketcap
#XAI 0.3$

Worth to add a small size.

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#EDU not printed any lower low in BTC crash

Box is still in formation

This is one of the biggest bulls once BTC bulls are back.

#EDU #ZRO #TURBO

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Time to invite old friends

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These are summers in halving years ( 2016-2020-2024)

Down-red-boundary = Electricity cost for 1 bitcoin
Upper-red-boundary= Total production cost for 1 bitcoin

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Max pain is there is no bearmarket or bullmarket anymore.

BTC just entered TradFi market and It reacts like SP500

Old Alts already entered bear market since 2021.

New listing alts dump only in Summer
New listing alts in Winter are not born yet.

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We just witnessed one of largest liquidation cascades 2 days ago.

That's called a big move.

Normally after big moves market might continue moving in chop zone before continuing next big moves.

Data says 30 days in chopzone ahead

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40% from last ATH 70k is the result of Nonlinear regression model.

It's also the realistic target.

At this rate, retail miners could not join the game of mining in this cycle.

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up around 40-50% from last ATH.

are you disappointed ?

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First cycle: up 3500% from last ATH
Second cycle: up 1700% from last ATH
Third cycle: Up 240% from last ATH

Anyone are good at Math ?

Can you use these numbers to point out an function then we can point out the percentage of this cycle ?

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🤣

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Whales continue closing shorts

That makes price up due to short squeeze.

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down 84% already

#ALT 0.12$

Worth to add a small size.

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Price up
OI down

Whales are closing shorts.

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CME shorters are still off at weekend 🙈

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bots of exchanges are back.

I can feel the vibe of RoseArmy in Bullrun.

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#TIA & #DOT

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#EDU Buy Setup

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we were right about chosen candidates but timing.

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