Original | Odaily Planet Daily (@OdailyChina)
Author | Nan Zhi (@Assassin_Malvo)
Since October 8, the author has accumulated a 24-fold increase by following smart money based on the ideas and methods shown in the first four articles of the 'Diamond Hand Evaluation System'. However, during the practical operation, a series of issues were encountered: the account evaluation process is lengthy, time-consuming, severe drawdowns from diamond hands, improper position management, etc.
Last week, the author restructured and rewrote the evaluation system to address the issue of lengthy evaluation processes, and this article will share the ideas and plans.
Odaily Planet Daily Risk Warning: This system has been running for only 48 days since its launch on October 8. Although certain results have been achieved, from an objective perspective, the data volume and comparative tests are insufficient, and the rigor is limited. This is for readers' reference only.
Funding progress and strategy display
The current account situation is shown in the table below, where:
Follow-up 1-7 is based on the earliest version of the 'Diamond Hand Evaluation System'. Issues that arose during practice include: During hot market periods, the follow-up objects still operate with extremely low frequency, missing out on a large number of tokens; the diamond hands are too serious, with the follow-up objects not selling even after making millions of dollars on a single token, leading to severe drawdowns.
Regarding the first point, the author's solution is a mixed style, adding mid-frequency operations and addresses with low token overlap among a series of low-frequency diamond hand accounts to increase the overall execution frequency. The reason for mixing rather than setting up separate accounts is to improve capital utilization efficiency.
The second point belongs to metaphysical issues. Based on the author's subjective experience, it is recommended not to affect the operation of smart wallets unless it is a short-term event-driven spike (such as Ansem calling BOP) or reaching significant market value thresholds (LESTER breaking $100 million) and other situations.
Scan Chain 1-4 are high-frequency addresses added during hot market periods, but overall, the profitability is not better than a mixed style.
Brother 1-8 are addresses that bring large single-transaction profits to Follow-up 1-7, with separate accounts set up to avoid being influenced by other addresses.
Conspiracy 1 is attempted to capture the 'Conspiracy Group (Cabal)' tokens, but is still in testing with no results yet.
Follow-up system upgrade
In the old version of the follow-up system, the author's process for filtering addresses includes:
Get the top 100 addresses for token profits;
Exclude previously screened addresses;
Screen through the primary evaluation system scoring;
Evaluate address operating styles using the deep evaluation system;
Manually confirm address value based on primary evaluation, deep evaluation, and GMGN data.
In fact, except for the final manual step, the above operations can all be completed automatically by a program, and textual annotations can be made on address features.
The previous deep evaluation system consumed a lot of computing resources to analyze the operational styles on 'losing tokens'. Upon reflection, the author believes that it is unnecessary to evaluate losing tokens; as long as the address is generally and sustainably profitable in the long term, it can be used as a follow-up object, and the follow-up settings should be adjusted as needed.
Other points to note include:
In the primary evaluation system, there is no need to focus on buying and selling styles; deeper evaluations are more accurate and intuitive.
In addition to total profits, the distribution of token profits should also be considered.
In addition to the average entry price, the first entry price should also be focused on.
GMGN not selling should not be included in the win rate statistics, and the win rate should be recalculated.
In summary, the author's draft for writing the program is as follows: based on four sets of functions screening layer by layer, finally entering the manual review stage, for readers' reference and iteration:
1. Based on rough data, directly exclude those that have been cleared, overall losing money, super P, and poor profit and loss rates; add middle P into the profit and loss ratio and profit amount screening.
1.1 Overall losing money = total profit 0 or 7d $15,000 + 30d $25,000
1.2 Super P = more than 10,000 transactions in 30D; Middle P = 2,000 to 10,000 transactions in 30D
1.3 Profit and loss rate difference = 30d earnings ÷ 30d costs 0.1
2. Based on recent transactions, frequently playing very small, maximum profit not exceeding 5k U to be excluded; calculate the average number of times to produce a $10,000 profit; calculate the actual win rate and daily average income (to be determined)
2.1 Playing very small = profit under 150 U per single token (tentative), to be reviewed based on the scanned chain addresses.
3. According to the profit data, if the maximum profit is greater than the 2nd to 10th place, exclude it unless the total profit is greater than $300,000; if the maximum profit is greater than the 2nd to 5th place, give a warning; if the first largest profit is less than $10,000, exclude it; if the second largest profit is less than $10,000, give a warning; statistically analyze how long it takes to make a big profit (to be determined)
4. According to the deep data, calculate the average execution points and frequency;
Based on the above ideas, the program automatically screens and displays the interface as shown in the following image:
(Meme Training Manual) series of articles
Rebirth: I Want to Be a Diamond Hand (I) | Produced by Nan Zhi
Rebirth: I Want to Be a Diamond Hand (II) | Produced by Nan Zhi
Rebirth: I Want to Be a Diamond Hand (III) | Produced by Nan Zhi
Rebirth: I Want to Be a Diamond Hand (IV) | Produced by Nan Zhi
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