Continue to farm Binance Alpha, which tokens are more cost-effective?

Words: Azuma (@azuma_eth)

Yesterday evening, Binance Alpha tokens ZKJ and KOGE suffered a flash crash, and under the influence of the unknown whale deliberately pumping out liquidity and smashing the market, the two major tokens both suffered a "knee chop" level decline.

For a long time, as the two most liquid tokens and the lowest pool fee (0.01%) on Binance Alpha, ZKJ and KOGE have always been the main choices for users to farm on Binance Alpha to earn points - previously it was mainly used to swap between the two, but Binance has issued the latest announcement that it does not allow Alpha tokens to be swapped.

After yesterday's "harvest", a large number of users have been a little confused about whether to continue to participate in Binance Alpha after waking up this morning, some users may have chosen to give up, but some users believe that Binance Alpha still has potential income expectations, but they don't know what tokens to swipe after avoiding ZKJ and KOGE.

"Efficiency" and "Wear"

First of all, it should be clear that the two major factors that users need to pay attention to when mining Binance Alpha are nothing more than "efficiency" and "wear".

"Efficiency" refers to the number of points that can be earned per unit of trading volume.

Since May 1, Binance has launched a points incentive campaign, which doubles the trading volume of BSC-based alpha tokens and limit orders. In this context, it is undoubtedly a more efficient choice to choose to trade BSC-based Alpha tokens or use limit orders, but considering the flash crash situation similar to last night, it is not recommended to use limit orders that will amplify uncertainty and lengthen the operation time, but it is more recommended to directly choose BSC-based Alpha tokens to "enter and exit in seconds" at the market price.

"Wear and tear" covers many aspects, such as safety, fees, and slippage.

Personally, I think most Alpha tokens are not suitable for long-term holding (except for a small number of tokens, it is not recommended to form LPs), so the more recommended solution is still "seconds in and seconds out, and the leaves do not stick to the body".

Fees and slippage are the main topics in the rest of this article. At present, the BSC alpha token is mainly using PancakeSwap to form a liquidity pool, and the fee level varies from 0.01% and 0.05% to 0.25% and 1%, obviously the token with a pool fee level of 0.01% will have lower wear and tear; Slippage is mainly affected by the abundant liquidity of the pool, so we should give preference to the tokens with more liquidity in the pool for trading.

PancakeSwap pool situation

The following figure shows us sorting the alpha tokens with a liquidity fee level of 0.01% in order of pool size according to the real-time data in PancakeSwap, hoping to help you in the future.

Something

The above is the objective liquidity status of all Alpha tokens with a liquidity pool fee level of 0.01% in the current BSC ecosystem, but in specific operations, there are still some small tricks that can reduce wear and tear - for example, some users will try to buy and sell during the upward trend through the strategy of observing the K-line trend to offset the wear and tear of the transaction, but I am not very good at this, and it is easy to turn into a long-term holding due to the imbalance of the mentality due to misjudgment, so it is not recommended for users with average trading sense to operate in this way.

Finally, I would like to add two points.

After the collapse of ZKJ and KOGE, which have the best liquidity, users choose other tokens for trading with a high probability of higher wear and tear, so users need to evaluate the expected number of times they can receive airdrops or participate in new plays every 15 days based on their own points status, and then estimate the return and risk-return situation according to the wear and tear.

Second, after this incident, Binance Alpha is likely to make certain changes to the subsequent gameplay rules, and users need to pay attention to the subsequent rule changes in time.

This article is sourced from Foresight News:

https://foresightnews.pro/article/detail/86533

Respectfully submitted by the AIC Team

2025/7/4