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Bitget, in collaboration with Reality and Keyring, released a research report and plans to launch the first on-chain stock basis trading strategy

Bitget, in collaboration with Reality and Keyring, has released a research report exploring the synergy mechanisms of tokenized stocks, perpetual contracts, and decentralized lending, and evaluating the potential returns and risks of related strategies through simulation calculations. The report points out that the application of tokenized stocks is extending from traditional stock trading to more scenarios such as collateralized lending, asset management, and systematic investment strategies.The research is based on Reality's rToken, combined with stock perpetual contract hedging and on-chain lending mechanisms, to explore stock basis yield strategies. Historical simulation data shows that from December 15, 2025, to October 19, 2026, the annualized net return of the strategy index is approximately 7% and 4% for in-sample and out-of-sample, respectively, with a gross funding cost rate premium of about 11% to 14%. The report also notes that financing costs, transaction execution fees, market liquidity, and risk management are key factors affecting the actual returns of the strategy.It is reported that Bitget and Keyring plan to jointly develop a stock basis index and build an on-chain lending market based on Reality's rToken. Among them, Reality provides exposure to tokenized stock assets, while Keyring is responsible for developing the index methodology and constructing the related lending market. The index aims to capture funding rate and basis yield opportunities by combining rToken holdings with corresponding stock perpetual contract hedging positions, providing new strategic pathways for the application of tokenized stocks in on-chain financial scenarios.

Galaxy Research: The frequent occurrence of "garbled inscriptions" on the Bitcoin network is not encrypted information, but may be a script test

Galaxy Research published an analysis stating that over the past three weeks, the Bitcoin network has seen approximately 40 inscriptions composed of random letters each day, which appear to be encrypted text but are not actually cryptographic information. The related address had previously written the U.S. Constitution into the Bitcoin network in May.The research found that after analyzing 562 texts, the frequency of the 26 English letters is almost evenly distributed, which is significantly different from the characteristics of normal English and substitution ciphers; metrics such as word length distribution and frequency of repeated words also indicate that these texts are likely generated by a random letter generator.Galaxy Research refers to the operator as the "Babel Scribe," believing it is more like testing a data publishing tool on the Bitcoin mainnet rather than attempting to convey hidden information. The structure of on-chain transactions, the continuous use of change addresses, and the regularity of publication times all exhibit characteristics of automated scripts. Related activities also include testing texts, random words in different languages, binary data, and the subsequent writing of the U.S. Declaration of Independence.It is estimated that the project has transferred approximately 3.33 million satoshis in total, of which about 24% was used to pay miner fees, while the remaining funds are still held in the related address. Researchers suggest that there is no need to interpret these garbled texts as hidden information.

first_img Tiger Research: Predicting that the market is becoming a macro data infrastructure

Research institution Tiger Research researcher Ryan Yoon released the final report of the prediction market series, discussing whether prediction markets have practical utility. The report states that participants bear the judgment results with funds, and prices are updated in real-time with new information, forming probability distributions comparable to traditional polls, expert surveys, and economic forecasts; prediction markets have expanded from sports and election predictions to macroeconomic and geopolitical data infrastructure.The report lists that Google Finance, CNBC, CNN, and The Wall Street Journal have displayed prediction market probabilities, and the parent company of the New York Stock Exchange, Intercontinental Exchange, along with the electronic bond trading platform Tradeweb, distributes relevant data to institutional clients. A working paper from the Federal Reserve Board describes the prediction market Kalshi as a high-frequency, continuously updated benchmark with rich information distribution. The paper states that Kalshi's median and mode predictions for the federal funds rate recorded perfectly the day before the FOMC meeting and significantly outperformed federal funds futures during that period; compared to Bloomberg consensus, it is more accurate for overall CPI and statistically similar for core CPI and unemployment rate.The report also cites research from the Iowa Electronic Markets: in five U.S. presidential elections from 1988 to 2004, and in a comparison of 964 polls, it was more accurate in 74% of cases; the average voting share error one week before the election was 1.5 percentage points, lower than Gallup's final poll of 2.1 percentage points. The report suggests that the platform needs to deepen liquidity to resist manipulation, communicate with regulatory agencies, and position itself as a monitoring tool while maintaining open transparency and data supported by independent research.
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