3.4K @Vibeofweb3 I watched $AIN sit quietly between 0.075–0.082 for nearly 2 days.
While most saw a boring chart, @CoinAnk's Footprint was showing something different buyers were quietly absorbing every dip at 0.0752.
Then it moved. 0.0752 to 0.1077. 43% in 48hrs.
The move wasn't luck. The data was there the whole time.
#CoinAnk makes this level of analysis accessible to anyone.
Join us today:
https://t.co/9AHtpakpnJ
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28.0K @Cyriptoman4 #AIN 👏👏
My analysis for $AIN is currently on target.. If it breaks above the 0,1150 $ resistance, we could see 0,16 / 017. https://t.co/JtJnLcCpWP
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123.3K @lijiuer1 123.3K @lijiuer1 Many people ask what my model is. Actually, looking at the data is just the following metrics: OI, OI/volume, OI/circulating market cap, volume, and then considering the overall funding rate. From the coins below you can see that a negative funding rate does not mean it will rise, nor does a positive funding rate mean it will fall. On the contrary, many of these have a positive funding rate and have been rising for several days, and these data are placed right here; how to interpret them depends on the situation.
For example:
Low volume: can be interpreted as a building phase, or can be interpreted as no need to pay attention due to lack of volume.
Negative funding rate: can be interpreted as shorts needing to cover, or that shorts are too many and the whales cannot push it up.
Gain leaderboard: the first few days it was the first rise on the leaderboard and still could be chased, now these days the rise leaderboard is the final dance.
OI/volume: volume greater than OI indicates high turnover, and may also be whales manipulating data themselves.
Now AI can provide many strategies, but they are for reference only. I feel the core is still looking at the token structure.
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