Original | Odaily Planet Daily (@OdailyChina)
Author | Golem (@web 3_golem)
Currently, "raising lobsters" is no longer difficult, but how to master OpenClaw and actually use it to make money still puzzles many lobster farmers.
Last week, I spoke with some deep users of OpenClaw in the crypto space. Some mentioned that OpenClaw's heartbeat mechanism and scheduled tasks can improve the efficiency of news trading, but more interviewees believed that using OpenClaw to trade cryptocurrencies for profit is still challenging.(Related reading:Odaily Editorial Tea Party)
However, where there's a will, there's a way. A trader named Kevin , with the assistance of OpenClaw, turned a $30,000 principal into 4 times its value in 10 days, achieving a net profit of $100,000 (currently slightly retraced to $82,000). Kevin himself stated that this was initially just an experiment, but he didn't expect to actually make money.
So how did Kevin transform OpenClaw from a toy that only burns tokens into a money-making machine? Odaily Planet Daily spoke with Kevin, who shared his personal crypto journey and how he leveraged OpenClaw in prediction markets, hoping readers can gain some inspiration.
Transition from "Scientist" to "Prophet"
Kevin's early career primarily involved designing ERP architectures for enterprises. He later joined a Top 3 domestic internet giant to build a sports event betting software system from scratch. This professional background laid the foundation for Kevin's current achievements in prediction markets. After 2018, Kevin entered the Web3 investment sector, mainly incubating and accelerating startups.
However, Kevin's first real windfall came five years after entering the crypto space. In 2023, ordi emerged, ushering in the "Inscription Summer" for the crypto market. With a background in computers and code, Kevin became one of the highly sought-after "scientists" at that time(Odaily Note: Scientists refer to those who could write programs and code to quickly participate in new asset deployments during the inscription craze).
"The period when ordi was listed on Binance was when my account assets reached their peak. I ultimately pocketed about over 2 million RMB," Kevin said, noting that he was also among the first batch of people to participate in the ordi launch, with a cost of less than 1 RMB per token, subsequently enjoying a thousand-fold increase.
After inscriptions completely cooled down, Kevin began searching for other opportunities and finally started seriously researching and participating in the prediction market Polymarket in the summer of 2025. "I had played Polymarket before, but the liquidity was poor, so I ignored it," Kevin said. For someone who had worked in traditional sports betting, the early Polymarket's trading depth was completely insufficient.
However, after Polymarket successfully predicted Trump becoming the 47th President of the United States in 2025, Kevin's attention returned to Polymarket. "After 2025, Polymarket's reputation grew, its liquidity could handle large orders, and more importantly, deposits and withdrawals became very convenient," so Kevin began experimenting with algorithms on Polymarket, becoming a "prophet".
Kevin's journey in prediction markets is divided into two stages: before using OpenClaw assistance and after using OpenClaw assistance. For clarity, Odaily Planet Daily has condensed Kevin's sharing as follows, enjoy~
How to Play Prediction Markets Before Using OpenClaw
Odaily Planet Daily: When you started playing Polymarket in the summer of 2025, how much money did you invest, and what was the final profit?
Kevin: I invested a total of about $100,000 at that time, and the total profit by this year is approximately double the principal.
Odaily Planet Daily: What strategy did you mainly use?
Kevin: I don't bet directly; instead, I wrote programs for automated arbitrage to make money. My previous experience building sports event betting systems in a Web3 internet company, which also involved order book design, was very helpful in understanding Polymarket's order book. Therefore, I used programs to capture spreads between order books, especially in sports events, where a lot of emotional arbitrage can be done.
Odaily Planet Daily: Do you have a dedicated team, and is anyone providing you with funds?
Kevin: I'm doing this alone; AI assistance is enough. Initially, I was afraid Polymarket might hinder withdrawals, so I ran dozens of accounts. But later, I found the deposit and withdrawal process very smooth, so I reduced the number of accounts. I mainly use my own money to run strategies, but indeed, some people provide funds for me to run strategies for them, but this is just one way to make money.
How to Play Prediction Markets After Using OpenClaw
Odaily Planet Daily: So when did you start using OpenClaw to play prediction markets?
Kevin: At the end of February. This was itself an experiment to see how much money OpenClaw could make at the trading level, but I didn't expect it to actually make money. For example, the account KevinChe202603, I used $30,000 in capital and made up to $100,000 at its peak, all within just 10 days.
Odaily Planet Daily: So what is your specific strategy?
Kevin: Frankly, this account's strategy is mixed. Currently, 60% is still running the previous automated arbitrage algorithm, and 40% is using the "Lobster" (OpenClaw) for subjective betting. Compared to market making arbitrage, betting is a complex decision, requiring consideration of the prediction market's smart money, sentiment, lineups, player form, etc. OpenClaw's role here is to actively collect various factors that determine the outcome of a match and turn them into an indicator. After several training sessions, it can also find other influencing factors that I might overlook, saving me a lot of time and mental effort.
Odaily Planet Daily: But isn't this just AI predicting matches? Conversational AI can do that too, and some developers have even specifically created AI prediction tools for matches. What's special about OpenClaw?
Kevin: Having an information advantage is just one of OpenClaw's strengths. It can also mine new strategies by itself, conduct its own backtesting, and perform automated betting in matches. If the strategy is good, we just need to give the money to OpenClaw; everything else is automated, which AI prediction tools cannot do. For example, it can actively discover some smart money addresses and fool addresses, either following the smart money's bets or using the fool addresses as a counter-indicator.
Additionally, this is why Polymarket, among all prediction markets, integrates particularly well with OpenClaw—because Polymarket's API is the most AI-friendly, making data access very convenient for AI.
Odaily Planet Daily: In which areas is OpenClaw primarily betting now? Is it fully automated already?
Kevin: Based on my areas of expertise, OpenClaw is currently also experimenting mainly in the sports competition领域. But once mature, I will consider expanding OpenClaw to other areas. Right now, I give OpenClaw small amounts of capital for automated betting, around $1000. I still don't dare to put too much money in a fully automated account.
Odaily Planet Daily: Is your strategy replicable? Or will you write a Skill for the market in the future?
Kevin: Also trying. Because there is indeed user demand for this, to see if my methodology can be combined to allow everyone to build a money-making Lobster. Later, I also plan to package some Skills for the market to use, which will certainly be paid.
