Diamond hands, high odds? Data analysis of the winning factors in Solana Meme trading
Meme trading on Solana is often regarded as a "PvP battlefield," with fast trading rhythms and fierce price fluctuations. So, what type of trading style is more "correct"? Is the winning factor "diamond hands," high leverage, or other trading characteristics?
Author: Nan Zhi, Odaily Planet Daily
Meme trading on Solana is often regarded as a "PvP battlefield," with rapid trading rhythms and fierce price fluctuations. On the other hand, news reports often reveal that a certain smart money address has achieved a thousandfold increase only after holding the tokens for several days or even dozens of days.
So, what type of trading style is more "correct"? Is the winning factor "diamond hands," high leverage, or other trading characteristics? Odaily will conduct a data backtest in this article to try to find the "holy grail" of meme trading.
Basic Situation
Data Source
This article selects the most recent 2000 transactions from MOODENG and LUCE, deduplicates the addresses, and filters all transactions conducted by these addresses, with the criteria being profits greater than $5000 and losses greater than $2000. In the end, there are a total of 1084 addresses and 8858 transactions.
(Note: The author initially selected the earliest 2000 transactions from MOODENG and found that only 89 addresses completed these 2000 transactions, revealing a strong "conspiracy" atmosphere, but this is outside the scope of this article. Readers can conduct their own research. To ensure randomness of addresses, the most recent 2000 transactions were chosen.)
Trading Characteristics
Based on the final total profit of the tokens, this article divides all transactions into profitable and losing categories, and then separately counts the profitable transactions for each wallet:
Token holding duration: the time interval from the first purchase to the first sale
Profit rate: total profit of the token ÷ total cost of the token
Purchase count: how many purchases were made before the first sale
The statistics for losing transactions include:
Token holding duration and purchase count as above
Stop-loss rate: total loss of the token ÷ total cost of the token
Here, the token holding duration represents the "diamond hands" coefficient, the profit rate and stop-loss rate represent the profit-loss preference of the address, and the purchase count indicates whether the approach is to buy once after identifying the opportunity or to make multiple trades to average the cost.
Diamond Hands, High Odds? What is the Winning Factor?
For readers not interested in the process, the conclusion is as follows. Addresses with high profits clearly differ in terms of the holding duration of the profitable portion and the stop-loss rate of the losing portion, demonstrating far greater holding patience than conventional addresses, as well as wider stop-loss conditions.
Cut Losses, Let Profits Run
Livermore once said: "After years of wandering on Wall Street, after making and losing millions of dollars, I want to tell you this: my thoughts have never helped me make big money. It is always the persistence that earns me money."
The most obvious distinguishing feature between top addresses and others is that their holding duration far exceeds that of conventional addresses, showing a clear positive correlation, approximately holding for 6-8 days, which is close to the fermentation duration of top tokens on Solana.
However, we also see that "addresses with overall losses" have holding times very similar to "addresses with profits exceeding $500,000." Upon verification, these losing addresses involve a total of 817 profitable tokens. While we cannot backtrack the price movements of each token, the data indicates that the profit difference comes from the "profit rate," meaning they "picked" the wrong targets.
Another factor that shows a clear positive correlation is the stop-loss rate. As profits increase, stop-loss conditions are also relaxed, but the differences across intervals are not significant.
Interpretation of Irrelevant Factors
Surprisingly, the profit rate has no direct relationship with the address's profitability, with a Pearson correlation coefficient of only 0.04, indicating almost no linear relationship. The variability of the profit rate suggests that the total profitability of the address is related to the "win rate," meaning that identifying the right opportunity and holding it long-term is the root of the profitability differences among addresses.
Another factor that is significantly unrelated to the address's profitability is the "purchase count." Whether buying once after identifying the opportunity or making multiple trades to average the cost can both work. The reason for focusing on the number of trades is that the author previously suggested in "Meme Cultivation Manual: Rebirth, I Want to Be a Diamond Hand (III)" that following trades should ideally avoid multiple purchases, and this viewpoint was further confirmed after a week of testing.
Therefore, the purchase count can be overlooked when assessing the profitability of an address, but it should be a key factor to consider when determining whether it is suitable as a following target.
Summary
This article analyzes from a macro perspective which factors are the key to winning in Solana meme trading, serving as a further in-depth analysis of the previous article "A Glimpse into a Thousand Solana 'Smart Wallets': Who is Making a Fortune? What Can We Learn?" The conclusion is clearer—"diamond hands" are the core and key to achieving top-level profits. However, for readers with limited capital, imitating such strategies may be challenging, and it is recommended that users further assess based on their own circumstances.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
US spot Bitcoin ETF had a net outflow of $117 million yesterday
Harris temporarily leads in the key swing state of Pennsylvania with 51.2% of the votes