A look at the movements of the on-chain whales: The crash has come, and the whales are running first

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Original author: shushu

Thanks to 0x Scope for providing data support

On June 24, Bitcoin fell below its short-term high of $64,000. Today, Bitcoin fell below $54,000 again, and the 24-hour decline widened to 8.8%. The June 18 Big Sale continues to this day, and the July 5 crash ushered in the Black Friday for the cryptocurrency community.

A look at the movements of the on-chain whales: The crash has come, and the whales are running first

Previously, according to the analysis of crypto KOL Ignas, the price of Bitcoin is being artificially depressed, through the deceptive sell orders of whales, inducing retail investors and investment managers to sell for risk aversion. Regardless of whether this situation exists, on-chain data is indeed a weather vane for predicting market conditions.

With the help of 0x Scope data, BlockBeats sorted out the trading trends of whales with a single swap transaction amount of more than $300,000 on the Ethereum chain from June 24 to July 4 to see which tokens the whales have bought/sold recently. At the same time, the Fibonacci retracement indicator in Trading View Pro is also used to simply determine when the Bitcoin price will be blocked and at which price levels it will gain certain support.

What is Fibonacci Retracement

Fibonacci Retracement is a technical analysis tool used to identify potential support and resistance levels in financial markets. The tool is based on a series of numbers discovered by Italian mathematician Fibonacci, known as the Fibonacci sequence. These numbers, when applied to technical analysis, can help traders predict potential levels of price pullbacks.

The main Fibonacci retracement levels include: 23.6%, 38.2%, 50%, 61.8%, and 78.6%. These levels are calculated by drawing horizontal lines between the highs and lows of the trend. For example, if the price rises from low A to high B and then begins to pull back, the Fibonacci retracement levels will show where the price may find support or resistance at these specific percentage levels.

Based on the Fibonacci retracement tool, Bitcoin price may find support around $51,500 during the pullback. This price point corresponds to the 38.2% Fibonacci retracement level (i.e. 38.2% from the recent high to the low). In addition, this price area has also been where Bitcoin price briefly consolidated before the final sprint, which further increases the possibility of $51,500 as support.

A look at the movements of the on-chain whales: The crash has come, and the whales are running first

Now let鈥檚 get into the data part

ETH series (including ezETH, weETH, wstETH, stETH, rETH, cbETH, mETH, sfrxETH, swETH, frxETH, uniETH, pufETH, rswETH, rsETH, etc.)

Between June 24 and July 4, whales executed a total of 1,116 ETH transactions, of which 697 were buys and 419 were sells. A total of 210,922.01 ETH were bought, worth approximately $740,328,736.22; a total of 123,136.27 ETH were sold, worth approximately $430,677,058.52.

A total of 186 whales performed net buying operations during this period, with a net purchase of 87,785.74 ETH (total purchase amount minus total sale amount), worth approximately US$309,651,677.70; a total of 204 whales performed net selling operations during this period, with a net sale of 87,785.74 ETH (total sale amount minus total purchase amount), worth approximately US$309,651,677.70.

BTC packaged versions (including tBTC, WBTC, etc.)

Between June 24 and July 4, whales executed a total of 89 BTC transactions, of which 55 were buys and 34 were sells. A total of 1,743.79 BTC were bought, worth approximately $107,920,685.42; a total of 414.55 BTC were sold, worth approximately $25,479,089.16.

A total of 28 whales performed net buying operations during this period, with a net purchase of 1,329.24 BTC (total purchases minus total sales), worth approximately US$82,441,596.26; a total of 20 whales performed net selling operations during this period, with a net sale of 1,329.24 BTC (total sales minus total purchases), worth approximately US$82,441,596.26.

Excluding ETH and BTC related operations, the whales only had net purchases of MKR and LDO for the remaining altcoins, while the rest were mostly net sales.

MKR

Between June 24 and July 4, whales executed a total of 17 MKR transactions, of which 12 were buys and 5 were sells. A total of 4,313.68 MKR were bought, worth approximately $10,798,758.34; a total of 1,817.12 MKR were sold, worth approximately $4,408,743.63.

A total of 6 whales performed net buying operations during this period, with a net purchase of 2,496.56 MKR, worth approximately US$6,390,014.71; a total of 3 whales performed net selling operations during this period, with a net sale of 2,496.56 MKR, worth approximately US$6,390,014.71.

LDO

Between June 24 and July 4, whales executed a total of 2 LDO transactions, all of which were buys. A total of 378,496.10 LDO were purchased, worth approximately $727,684.08; there were no sell transactions.

ONDO

Between June 24 and July 4, whales executed a total of 2 ONDO transactions, all of which were sell transactions. A total of 585,538.30 ONDO were sold, worth approximately $684,062.78; there were no buy transactions.

PEIPEI

Between June 24 and July 4, whales executed a total of 4 PEIPEI transactions, all of which were sell transactions. A total of 12,175,219,831,862.45 PEIPEI were sold, worth approximately $1,913,465.89; there were no buy transactions.

PEPE

Between June 24 and July 4, whales executed a total of 19 PEPE transactions, of which 6 were buys and 13 were sells. A total of 282,119,856,081.88 PEPE were bought, worth approximately $3,312,172.18; a total of 600,266,202,374.30 PEPE were sold, worth approximately $6,884,446.80.

A total of 4 whales performed net buying operations during this period, with a net purchase of 318,146,346,292.42 PEPEs, worth approximately US$3,572,274.62; a total of 6 whales performed net selling operations during this period, with a net sale of 318,146,346,292.42 PEPEs, worth approximately US$3,572,274.62.

BEAM

Between June 24 and July 4, whales executed a total of 4 BEAM transactions, 2 of which were buys and 2 were sells. A total of 341,459.62 BEAM were bought, worth approximately $293,409.11; a total of 341,459.62 BEAM were sold, worth approximately $287,857.04.

FLOKI

Between June 24 and July 4, whales executed a total of 1 FLOKI transaction, which was a sell. A total of 2,000,000,000 FLOKI were sold, worth approximately $343,140.00.

AQTIS

Between June 24 and July 4, whales executed a total of 1 AQTIS transaction, which was a sell. A total of 20,000,000 AQTIS were sold, worth approximately $313,158.60.

PEAS

Between June 24 and July 4, whales executed a total of 1 PEAS transaction, which was a sell. A total of 130,020.96 PEAS were sold, worth approximately $418,667.52.

1INCH

Between June 24 and July 4, the whales executed a total of 1 1INCH transaction, which was a sell. A total of 1,612,124.25 1INCH were sold, worth approximately $633,992.04.

WOJAK

Between June 24 and July 4, whales executed a total of 1 WOJAK transaction, which was a sell. A total of 314,962,538.13 WOJAKs were sold, worth approximately $340,968.99.

This article is sourced from the internet: A look at the movements of the on-chain whales: The crash has come, and the whales are running first

Related: A detailed explanation of the Fear and Greed Index: What guiding role does market sentiment play?

Original author: Crypto_Painter (X: @ @CryptoPainter_X ) With BTC recent brief drop below the $60,000 mark, market sentiment did a 180-degree turn overnight, going from 75% greed a week ago straight to 30% fear; Is the market really that fearful? Since many people are talking about this index, let鈥檚 analyze it thoroughly today and see what kind of guidance the market sentiment index provides for trading. First, we need to understand how the FG index is calculated? It is calculated using 5 main weights: 1. Volatility: The current volatility of BTC price relative to the past 30 and 90 days. An abnormal increase in volatility can sometimes be a sign of excessive fear in the market. 2. Momentum and Volume: Momentum and volume relative to the past 30 and 90…

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