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Bancor ✓

@Bancor · joined 04 Jan 2017

Creators of the Technology that Underpins the Constant Product AMM 💬 https://t.co/XpZ73UshzP • https://t.co/2rJjzM5qRx

145 430Followers
52Following
8 904Posts total
55.9KViews on collected posts

Ultimi post

https://t.co/P3ZO1E9Opv 2.7K views · 15 likes · 7 reposts · 2 replies Open on X →
A trading strategy is only as reliable as every system it relies on to function. If it depends on an oracle, the data must remain accurate and free from manipulation. If it depends on a keeper, the keeper must remain operational, correctly detect when an action is required and 4.2K views · 16 likes · 5 reposts · 3 replies Open on X →
Arbitrage and sandwich attacks are both categorized as MEV, but they have fundamentally different effects: one improves market efficiency, while the other exploits user transactions. Arbitrage responds to price discrepancies that already exist. It brings prices across markets ht
0:36
4.3K views · 17 likes · 7 reposts · 0 replies Open on X →
https://t.co/Z1tNKEnzT8 6.6K views · 16 likes · 7 reposts · 0 replies Open on X →
Not all market participants need liquidity to behave the same way, and not all markets should behave the same way. A token project may want to fund future development by creating a sell range order – eliminating slippage, the need for multiple trades, and risk of sandwich https
3.6K views · 20 likes · 6 reposts · 3 replies Open on X →
Before you execute a trade, provide liquidity or make a market, ask yourself “What exactly do I want to achieve?” On @CarbonDeFixyz, each strategy type gives a different set of instructions, all native to the protocol. → Limit Order Buy or sell at one exact price. The order htt
app.carbondefi.xyz
5.8K views · 23 likes · 5 reposts · 0 replies Open on X →
https://t.co/gk0fvHlsLt 2.6K views · 10 likes · 3 reposts · 0 replies Open on X →
https://t.co/dlj8IphZcR 2.5K views · 17 likes · 5 reposts · 2 replies Open on X →
Most onchain traders default to taking liquidity, prioritizing immediate execution: accepting the price and liquidity available at that moment, along with the risk of MEV sandwich attacks. Trading as a maker doesn’t mean the trade cannot execute immediately. It means you 3.2K views · 19 likes · 3 reposts · 0 replies Open on X →
Professional traders study historical price patterns before deciding where and how they want to trade. They look at how an asset moved, where it repeatedly found support or resistance, and how often it traded through specific price ranges. With the @CarbonDeFixyz Simulator, ht
2.9K views · 17 likes · 5 reposts · 1 replies Open on X →
@Bancor Sounds like a plan! 212 views · 2 likes · 0 reposts · 1 replies Open on X →
https://t.co/E7TTExoaoS 3.5K views · 19 likes · 4 reposts · 1 replies Open on X →
https://t.co/V4ky9GVrpw 6.2K views · 15 likes · 5 reposts · 0 replies Open on X →
https://t.co/4q8T5kc69T 7.8K views · 21 likes · 6 reposts · 3 replies Open on X →

Rispetto ad account della stessa dimensione

13 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane3 479questo account5 983mediana per 100K–1M
Copertura, %2.39%questo account1.49%mediana per 100K–1M
Interazione, %0.69%questo account0.93%mediana per 100K–1M
MetricaQuesto accountMediana per 100K–1MRapporto
Visualizzazioni mediane per post3 4795 9830.58×
Copertura (visualizzazioni ÷ follower)2.39%1.49%1.61×
Tasso di interazione0.69%0.93%0.74×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

7.8K23 Jul
6.2K27 Aug
3.5K3 Sep
212
2.9K4 Sep
3.2K8 Sep
2.5K9 Sep
2.6K11 Sep
5.8K14 Sep
3.6K16 Sep
6.6K17 Sep
4.3K18 Sep
4.2K20 Sep
2.7K22 Sep

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.41%23 Jul
0.32%27 Aug
0.69%3 Sep
1.42%
0.80%4 Sep
0.69%8 Sep
0.97%9 Sep
0.51%11 Sep
0.52%14 Sep
0.80%16 Sep
0.37%17 Sep
0.56%18 Sep
0.58%20 Sep
0.88%22 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes68.6%227 in total
Reposts20.5%68 in total
Replies4.8%16 in total
Quotes1.5%5 in total
Bookmarks4.5%15 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Account simili