lingyugonga16 pfp

lingyugonga16

@lingyugonga16

158 Following
0 Followers


lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
1 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
2 replies
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
0 reply
0 recast
0 reaction

lingyugonga16 pfp
#1/2 Type1: High-frequency accumulation address cluster 1⃣ Go to Arkham, click on the visualization tool Then follow the instructions in the screenshot to find high-frequency trading addresses: For example, the address with the densest buying: 5qYcbjeHFR2sw3ZdJh86FFC5jwa6bteWkKVa5d2MDUpc 2⃣ (5qYc) Funds source: JD1dHSqYkrXvqUVL8s6gzL1yB7kpYymsHfwsGxgwp55h JD38n7ynKYcgPpF7k1BhXEeREu1KqptU93fVGy3S624k JD25qVdtd65FoiXNmR89JjmoJdYk9sjYQeSTZAALFiMy 3⃣ Accumulation address cluster: We find that these three funding sources all transferred goods to several overlapping addresses, and these addresses pay fees to the DCA Fee Account at a top frequency: Ultimately, through 6 related addresses, they accumulated 3.37 million tokens in the last two days, approximately 0.3% of the total chips.
0 reply
3 recasts
4 reactions

lingyugonga16 pfp
0 reply
1 recast
1 reaction

lingyugonga16 pfp
0 reply
1 recast
1 reaction

lingyugonga16 pfp
2 replies
1 recast
1 reaction

lingyugonga16 pfp
1 reply
1 recast
1 reaction