Dialogue with trader Sabi Ge: I made 5,000 times profit by buying $MOODENG. How to capture Alpha through insider analysi

The following text is compiled from the series Twitter Space #DialogueTraders, hosted by FC, founding partner of SevenX Ventures, Twitter @FC_0X 0

This episode鈥檚 guest: SaBiBro, founder of CashCashBot, Twitter @SaBiBro 666

Sabi Ge鈥檚 trading journey: the transition from exchange to on-chain strategy

Sabige is a pioneer in the field of on-chain data-driven trading. Born in Taiwan, he entered the 암호화폐currency field in 2017 and joined a mainland exchange in 2019, working in its listing department, focusing on on-chain data analysis and project due diligence (Due Diligence, DD for short). This experience not only gave him a deep understanding of the industry, but also laid a solid foundation for data analysis.

In 2022, he chose to leave the exchange and start his own business. In the early days, he focused on the development of NFT application projects. However, as the NFT market gradually declined, he keenly observed the rise of Memecoin transactions and quickly adjusted his direction, focusing his strategy on on-chain transactions and data-driven investment decisions. He and his team developed a variety of analytical tools and trading robots to monitor the movements of on-chain addresses and generate trading signals.

Sabiges trading strategy has distinct characteristics: it does not focus on narrative valuation, but focuses on on-chain monitoring and strict stop-profit and stop-loss rules. He emphasized that by setting a clear stop-profit and stop-loss strategy, trading can be free from the interference of subjective emotions.

At the same time, he also pointed out that the trading logic needs to be continuously optimized. At first, he focused on the trading behavior of smart money on the chain, and then expanded his focus to the teams trading behavior (conspiracy group), and then to the key main address behavior of a single token. Through in-depth analysis of these on-chain activities, he continuously improves the accuracy of trading decisions.

Currently, Sabi Ges main holdings include BTC, ETH, and SOL. These assets form the cornerstone of his core investment portfolio. In addition, the recent outstanding performance of #Moodeng has become an important milestone for him: achieving a 5,000-fold return in a short period of time. But for Sabi Ge, the significance of $MOODENG is not just about income.

The real value of MOODENG is to verify the effectiveness of its data-driven strategy. By tracking the on-chain behavior of MOODENGs main address, he confirmed the trading theory of following the main force. This practical result not only enhances the credibility of its strategy, but also provides valuable experience support for future trading decisions.

How to use data and discipline to ensure success in trading?

In the trading process, Sabi Ge emphasizes the standardized strategy of doubling the original investment and cutting the loss in half, which is the core of his risk management. This strategy avoids the interference of market sentiment with clear rules and verifies the feasibility of positive expected value (EV) through mathematical models.

In trading, you only need to maintain a win rate of more than 33% to achieve positive EV. For example:

• Take-profit scenario: Sell all assets after they double, achieving a 100% gain.

• Stop loss scenario: All assets are sold after being cut in half, resulting in a 50% loss.

Based on the above assumptions, when the winning rate reaches or exceeds 33%, the traders long-term returns will show positive growth. Sabi Ges strategy is based on probability, focusing on stabilizing the mentality and avoiding trading decisions being shaken by short-term market fluctuations.

At the same time, the SabiGe team has developed a series of tools, with data as the core, to provide users with in-depth insights into market hot spots and main players behaviors:

토큰 Insider Analysis (CashCash Bot)

Through big data, the holding structure and address behavior of tokens are analyzed. Its core functions include:

• Main behavior identification: Filter out addresses with transfer associations or collective transaction characteristics and classify them as gangs or main clusters.

• Snapshot and trend analysis: Qualitative and quantitative assessment of the concentration of token holdings to identify whether major players are accumulating funds.

• Behavioral model optimization: Combine the transfer behavior of the address (such as the use of cross-chain bridges or mixers) and the on-chain fund flow trend to form an accurate prediction of the main operation.

FOMO CALL Signal

This is a real-time trading signal tool developed based on the database of thousands of smart money addresses accumulated by the team. When a group of addresses with excellent historical performance collectively buy a certain token in a short period of time in the market, FOMO CALL will send a signal. This signal can help users quickly capture market hotspots and determine whether a token has potential for short-term growth.

These tools provide users with a complete trading support system. For example, when the token insider analysis tool shows that the main fund-raising of a token has reached a high point, and the FOMO CALL signal captures the collective buying behavior of multiple smart money, it usually indicates that the token may become a market hotspot. Users can build positions and track trends based on the data provided by the tool, combined with the strategy of doubling the capital and halving the stop loss.

How to capture key trends through data and take action?

In the cryptocurrency market, the main force makes profits through accumulation and distribution, and the position behavior on the chain will inevitably change during this process. The core of the trading strategy lies in how to capture the behavior patterns of the main force through data. For example, during the accumulation period, the main force will show specific on-chain behaviors, which can be aggregated and converted into trading signals.

However, when more people adopt similar strategies, the main force may adjust the strategy or even hide the behavior. Therefore, the effectiveness of the trading strategy needs to be constantly adjusted and optimized to identify the possible hidden behavior of the main force. Sabi Ge believes that this is an ongoing game, and a dynamically optimized monitoring model is the key to the long-term effectiveness of the strategy.

Sabi Ges strategy starts with tracking smart money, which usually achieves a winning rate of more than 40% in the market and realizes significant returns. By screening out these addresses through tools, he and his team established their own DAO and monitoring list to continuously monitor a group of address clusters with excellent performance.

The core methods of the strategy include:

• Identify collective actions: The team monitored and found that certain address clusters would operate synchronously, including collective accumulation and distribution. This pattern became the basis of the strategy.

• Position control: When following the main force, avoid entering the top 100 holdings list and keep a low profile so as not to affect the main forces trading rhythm. Usually the buying position does not exceed 0.5% of the tokens market value.

• Signal response: When a cluster in the monitoring list shows a phenomenon of collectively entering a certain token, the strategy follows up with a small trial to avoid exposing its own behavior too early.

Strategy Example: Moodeng鈥檚 Trading Process

The successful transaction of MOODENG is an important milestone for the SabiGe team. In September 2024, the team monitored a cluster of addresses with long-term excellent performance entering MOODENG on a large scale and quickly absorbing funds. Based on the previous trading methods of the main players, the team maintained small purchases and gradually followed up.

During the trading process, the main force tested the markets buying and selling sentiment through multiple pull-ups and pullbacks, while ensuring that the concentration of chips was not diluted. By monitoring the changes in the holding ratios of these main addresses in real time, Sabi Ge found that the main force would absorb chips again after each pullback. This phenomenon strengthened the teams bullish confidence in MOODENG.

Eventually, MOODENGs market value rose from a small amount at the beginning to hundreds of millions. The team not only earned high profits, but also verified the trading theory of following the main force through this process.

How to seize the opportunity of capital rotation in the crypto market?

The cyclical changes in the cryptocurrency market have a significant impact on the execution of trading strategies. From a macro-cyclical perspective, the focus of funds in different periods will be different:

Rotation of mainstream coins: Funds may be concentrated in mainstream assets such as BTC and ETH. At this time, there is a lack of liquidity on the chain and the transaction volume is small.

Emerging public chains and hotspot switching: Ecological hotspots will switch between public chains, such as the recent transfer from ETH to Base, BSC and Solana. Solana has become a hotbed for high-frequency transactions and innovative projects due to its high TPS and low gas fees.

Meme track and narrative shift: In more segmented tracks, such as Meme tokens, funds will also rotate due to launchpad updates or narrative changes. For example, from Solana鈥檚 high-frequency PVP market to new projects on the Base chain, the focus of market funds continues to shift.

Through on-chain data tools such as Dune, the SabiGe team monitors on-chain transaction volume and capital flows in real time to assist in decision-making. For example, the recent capital rotation shows that the virtual economy (such as AI Agent, Virtuals) on emerging chains has become a hot spot, which prompts the team to adjust positions in a timely manner and follow the capital flow.

Why can calmness and discipline determine the success or failure of a transaction?

Bull markets offer a lot of opportunities, but they also come with high risks. In such markets, it is particularly important to stay calm and disciplined:

Independent judgment: Sabi Ge emphasized that trading should focus on verifying strategies rather than catering to market sentiment. He pointed out that emotional fluctuations in a bull market can easily lead traders to be confused by the eternal bull market narrative and become overly optimistic.

Take profits at the right time: A big trap in a bull market is reluctant to sell. Even if the market rises, partial profit exit is the key to maintaining long-term advantages. Even if you miss a higher point, controlling risks always takes precedence over chasing higher returns.

Supported by stable cash flow: Cash flow is a reassurance for calm trading. Obtaining stable cash flow through main business or quantitative funds can reduce dependence on short-term market fluctuations and make trading more relaxed.

In a bull market, traders often face anxiety, which includes fear of missing opportunities, returns not meeting expectations, and psychological fluctuations caused by short-term retracements. In this regard, Sabi Ge also shared his coping methods:

Focus on the trading framework: Even if a transaction outside the framework is profitable, it is not considered a success. The core of trading is to verify strategies and refine cognition, rather than temporary gains.

Establish a calm communication environment: Avoid being disturbed by emotional signals and maintain communication with calm and rational trading partners. Especially in a bull market, overheated emotions can easily lead to irrational decisions.

Keep in mind the cyclical nature of the market: Sabi Ge pointed out that the bull market is not eternal, but a cycle where opportunities and risks coexist. Even if there is a strong bullish sentiment, we must be wary of risks, especially when there is only a single narrative in the market and there is no clear supporting logic.

How to quickly improve cognitive level?

Sabige believes that the core of personal growth lies in upgrading ones social circle, and communicating with highly cognitive people can significantly accelerate ones own cognitive iteration. He emphasizes that breaking through the social comfort zone and actively interacting with outstanding people is an important way to improve oneself.

In the process of trading and starting a business, he constantly learns from others successful experiences and methods to find his own breakthrough point. The influence of communication with others is subtle. The actions and results of successful people around him can inspire him to think and further optimize his own path. He advocates upward socialization and discovers more possibilities by interacting with better people.

He also mentioned that Rich Dad Poor Dad is a book that has had a profound impact on his financial thinking. The book emphasizes the concept of the four quadrants of wealth and taught him to think about wealth management from the perspective of letting money work for you. He mentioned that the book broke the concept of stable job in traditional education and inspired him to explore the possibilities of entrepreneurship and investment.

In addition to books, his progress was also aided by other sources of knowledge. For example:

1. On-chain analysis KOL

• Aunt Ai @ai_ 9684 xtpa: With on-chain data analysis as the core, providing in-depth market insights.

• Mr. Mai @Michael_Liu 93: Based on the analysis of market behavior and human nature, explain the behavioral logic of the main force from another perspective.

2. Social Media and Community: Quickly capture market trends by following active traders on Twitter and Telegram, and discuss new tracks and business opportunities with team members.

In addition, Sabige believes that the integration of Web2 and Web3 is an important direction for the future. He and his team often study business cases in Web2 and explore how to replicate its successful model in Web3. This cross-domain thinking allows him to stay ahead in the exploration of new tracks.

Summary and suggestions

Data-driven and continuous optimization: Data-driven trading strategies have been proven to be feasible in actual combat, but they require continuous dynamic tuning. In addition, whether it is the rotation of hot spots on the chain or the switching of track narratives, it is necessary to remain sensitive and adaptable.

Patience and discipline: Successful trading not only relies on strategy, but also requires a stable mentality. Whether in a bull market or a bear market, only by following trading rules and maintaining independent judgment can you gain long-term advantages.

Establish cognitive and cash flow pillars: With a stable cash flow as the foundation, traders can face market fluctuations with a more relaxed attitude. Through continuous learning and circle upgrading, you can always stay at the forefront of knowledge.

This article is sourced from the internet: Dialogue with trader Sabi Ge: I made 5,000 times profit by buying $MOODENG. How to capture Alpha through insider analysis of tokens?

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