The MarsCoin order book seems to have stabilized slightly. Do you feel it’s stabilized? Let’s take a look at the data analysis together!
On 2026.8.27,
#MarsCoin : change in data for the top 40 token-holding addresses
1: Pancake — Inflow 2.16%
Binance alpha — Inflow 3.78%
2: Top 10 addresses: 3 reduced their holdings
Top 20 addresses: 2 added, 1 reduced
Top 40 addresses: 1 reduced, 2 newly entered, 4 added
$MarsCoin daily key summary:
It’s been a little while since I last counted MarsCoin. Today I checked—alpha inflow has already slowed down, and the liquidity pool has seen a small inflow. Compared with the previous time I checked, the price has dipped slightly.
In the top 40, 5 people reduced their holdings. There are quite a few people, but the reduction amount isn’t very large. In the top 40 overall, 6 people added holdings: 3 of them truly increased positions, but the amount is extremely, extremely small; the other 3 are transfers. One address was transferring in on one side and reducing on the other.
In the top 40, there are 2 addresses newly entered—both came from other addresses transferring in; they did not enter via on-chain purchases.
For the two addresses that dropped out of the top 40: one fully liquidated, and the other only reduced slightly. They fell out of the top 40 due to that.
That’s roughly the data. Let’s do a simple analysis: the overall numbers of adding and reducing holdings aren’t very large. It looks like there are many people, but the amounts aren’t much. There are 3 addresses that transferred from alpha—together they’re about over 10 million tokens. If these 3 addresses are truly buying and then transferring out, then their activity is probably closely related to why the token price is staying roughly here. Another address also transferred out from alpha, but it has been selling in small amounts consistently—this looks more like distribution.
Even though there are many people who added and reduced positions, the amounts are small overall, so the order book feels like it’s stabilizing slightly. That’s about all for now. The rest you’ll need to look at the data analysis yourselves!
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