POLY is currently enhancing institutional attention through external cooperation to consolidate the foundation for long-term allocation. However, significant shortfalls in market liquidity and capital efficiency remain evident. In the short term, flows and transactions are mainly driven by event catalysts and new product speculation. Recent security incidents and increases in matching fees have further intensified the divergence of risk appetite among capital providers, resulting in greater market caution and pressure on short-cycle strategies. It is recommended to closely monitor progress in platform liquidity mechanisms and contract innovation, with particular attention to capital absorption and price performance within the 0.92–1.08 range. For medium and long-term allocators, the focus should be on potential incremental gains from institutional partnerships and market structure optimization, while avoiding blind pursuit of hot topics and guarding against high-tail volatility from single events.

Recently, POLY has reached agreements with renowned financial media outlets to integrate trading data into mainstream news platforms, thereby increasing market visibility and credibility. This initiative not only brings broader institutional attention to POLY but also helps attract long-term value investors, strengthening underlying demand for the token. From a technical perspective, the K-line indicates that prices are stabilizing near long-term moving averages. While trading volume has yet to see a significant increase, the distribution of institutional-grade data is expected to drive episodic incremental demand in the future.

Dow Jones has partnered with Polymarket to publish its prediction market data across Dow Jones news platforms, including the Wall Street Journal and Barron’s. This collaboration, Polymarket's first media partnership since its US relaunch, will feature trading data in formats like an earnings calendar, providing readers with insights into forecasts for company earnings and other financial outcomes, thereby bringing prediction market data into mainstream media.

Dow Jones taps Polymarket to provide insights into financial outcomes and forecasts

Industry research indicates that binary options models have attracted short-term interest, but remain constrained by low capital efficiency and lack of liquidity. Most participants in the prediction markets need to rely on active market-making strategies to remain profitable amid unidirectional volatility and event-driven moves. On the charts, POLY exhibits narrow-range fluctuations and persistent declines in trading volume, reflecting a cautious stance towards high-frequency, short-term contracts. To improve this 'local optimum' situation, the platform may need to introduce more efficient perpetual contract designs and optimize orderbook depth to enhance overall capital utilization.

The article critically examines the current state of prediction markets, arguing they have fallen into a "local optimum" trap similar to past tech failures like BlackBerry and Yahoo. While binary options models have gained short-term traction, they suffer from liquidity shortages and low capital efficiency. The author advocates evolving prediction markets toward a perpetual contract model to achieve a truly universal, liquid market, emphasizing the need for radical redesign and humility to overcome structural limitations and realize their full potential.

Falling into a local optimum, market predictions should not stop here.

The article discusses the challenges of market making in prediction markets, highlighting that less than 10% survive until year-end. Unlike AMM-based markets, prediction markets rely on order book models with higher operational complexity, inventory risk, and volatile, jumpy price movements driven by discrete events. Successful market making requires advanced strategies and risk management, often beyond ordinary users' capabilities. Leading platforms like Polymarket and Kalshi invest heavily in liquidity subsidies, creating strong barriers for new entrants and reinforcing dominant players.

Prediction markets are tough: less than 10% may actually survive until the end of the year.

The platform has recently launched real estate prediction contracts and has seen the emergence of multiple automated trading robots to capture yet-untapped pricing opportunities. Meanwhile, several newly created wallets are placing substantial bets on geopolitical topics, underscoring strong market interest in event-driven contracts. Such short-term hot topics often lead to sharp price volatility and surges in trading volume, boosting sentiment for POLY in the near term. However, with trading concentrated in a limited number of themes, caution is warranted regarding possible pullbacks after the realization of a single event.

Polymarket announced it will launch a real estate prediction market on January 5, enabling users to bet on housing price trends.

Polymarket will launch a real estate prediction market, allowing users to bet on housing price trends.

The author built a Polymarket bot after spending several weeks developing it to address inefficiencies on the platform. Despite existing bots exploiting some opportunities, the author found there are still many untapped inefficiencies on Polymarket.

I built a Polymarket bot and tested multiple parameter setups, here are the results.

Four newly created wallets simultaneously placed bets on Polymarket that the U.S. will strike Iran before January 31, 2026. At the time, the event's probability was below 18%, and these wallets had not made any other bets.

Four newly created wallets simultaneously bet on Polymarket that "the US will take action against Iran before January 31, 2026."

On January 8, Lookonchain monitoring identified four newly created wallets on Polymarket that predicted the United States will strike Iran before January 31, 2026, with no other predictions made.

Suspected insider cluster predicts "US to strike Iran before January 31"

The odds of the U.S. acquiring Greenland under President Trump before 2027 have surged to 15% on the blockchain prediction platform Polymarket, with trading volume exceeding $2.28 million. This increase follows renewed U.S. strategic interest in Greenland, including potential military action, despite Denmark and Greenland's rejection of sovereignty transfer. The rise reflects expectations of a more assertive U.S. foreign policy and possible major territorial expansions by 2026.

Odds of Trump acquiring Greenland in 2026 surge to all-time high on Polymarket

Recently, a popular trading bot project suffered a security breach, resulting in significant user fund losses and a short-term blow to market confidence. At the same time, the platform announced new matching fee policies—up to 3% in certain short-term markets—which may suppress high-frequency trading activities. The combination of these factors is causing aggressive speculators to reassess risk/reward and may shift preferences towards contracts or strategies that offer better rates and safety. Technical indicators show a secondary dip in POLY's trading volume following these incidents, reflecting a gradual withdrawal of capital sensitive to short-term volatility.

Polycule, a trading bot project based on Polymarket, was hacked on January 8, resulting in approximately $230,000 in user funds being affected. The Polycule team has taken the relevant bots offline and plans to complete patch repairs and security audits by the end of the weekend.

Polycule, a trading bot project based on Polymarket, was hacked, affecting approximately $230,000.00 in user funds.

Polymarket has updated its official documentation to include a "trading fees" page, indicating that a fee of up to 3% will be charged on taker orders in its 15-minute crypto up/down markets. This marks the introduction of fees for these short-term markets.

Polymarket: Will charge up to a 3% trading fee on 15-minute crypto up/down markets.

Poly

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