# Polygon Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Polygon", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Housing Price "Shorting Tool" Emerges as Polymarket Launches Real Estate Prediction Market

A new real estate prediction market has been launched on Polymarket in collaboration with Parcl, a blockchain-based real estate platform. The partnership integrates Parcl’s daily housing price indices into Polymarket’s prediction markets, enabling users to trade on future price movements of real estate in major U.S. cities such as New York, Miami, San Francisco, and Austin. The markets will allow participants to speculate on whether housing prices will rise or fall over monthly, quarterly, or annual periods, using USDC on the Polygon blockchain. Settlement is based on Parcl’s transparent and independently verifiable data, addressing delays and subjectivity in traditional real estate reporting. This initiative introduces a form of “shorting tool” for real estate, enabling users to hedge against or bet on housing market declines without needing to buy or sell physical property. The move is seen as a significant step in bringing liquidity and real-time price discovery to an otherwise illiquid market, while also incorporating real-world asset (RWA) data into the crypto ecosystem.

Odaily星球日报01/06 03:39

Housing Price "Shorting Tool" Emerges as Polymarket Launches Real Estate Prediction Market

Odaily星球日报01/06 03:39

The Future Of Tech: How Blockchain AI And Will Converge By Late 2026

In a recent article, Sandeep Nailwal, co-founder of Polygon, predicts a major convergence of blockchain, AI, and payment technologies by late 2026 that could "reshape the internet completely." In this vision, AI acts as the decision-maker, blockchain ensures transparency and verifies decisions, and payment systems enable instant value transfer. This integration aims to address AI's opacity by using blockchain as a public, secure ledger and zero-knowledge proofs to maintain privacy. Nailwal also highlights the shift toward proof-based systems, the efficiency of digital currencies for cross-border payments, and the future role of digital wallets in identity and asset management. He concludes that this seamless, trust-integrated convergence will redefine digital experiences, making the internet function more efficiently and reliably.

bitcoinist12/31 12:37

The Future Of Tech: How Blockchain AI And Will Converge By Late 2026

bitcoinist12/31 12:37

Polymarket's Departure from Polygon: An Inevitable Choice or a Matter of Timing?

Polymarket, a leading prediction market platform, has announced plans to migrate from the Polygon network to its own Ethereum Layer 2 solution, named POLY. This move, driven by both product and economic considerations, aims to provide a more stable and customizable environment for the platform's growth. Key factors behind the decision include Polygon's recent network instability and limitations in supporting Polymarket's expanding scale. By building its own Layer 2, Polymarket can capture more economic value within its ecosystem rather than allowing it to spill over to external networks. Data indicates Polymarket contributed significantly to Polygon’s ecosystem, accounting for roughly a quarter of its total value locked (TVL) and gas consumption. The platform has facilitated over $14.3 billion in historical trading volume and attracted 1.7 million users. The timing of the migration aligns with Polymarket’s upcoming token generation event (TGE), as transitioning post-TGE would be more complex. This shift also allows Polymarket to elevate its valuation by evolving from a single application to a full-stack platform with its own underlying infrastructure. The move reflects a broader trend in crypto where top applications seek greater independence when underlying networks fail to provide sufficient added value.

比推12/23 14:41

Polymarket's Departure from Polygon: An Inevitable Choice or a Matter of Timing?

比推12/23 14:41

The Economic Calculus Behind Polymarket's Exit from Polygon

Polymarket, a leading prediction market platform, has announced plans to migrate from the Polygon network to its own Ethereum Layer 2 solution, named POLY. This move, confirmed by a team member on Discord, is driven by both product and economic motivations. Product-wise, the migration aims to provide a more stable and customizable infrastructure tailored to Polymarket’s specific needs, addressing limitations posed by Polygon’s occasional network instability. Economically, Polymarket seeks to capture and retain the full value of its ecosystem, preventing economic spillover to external networks. Data highlights Polymarket’s significant contribution to Polygon’s ecosystem: it accounts for approximately one-quarter of Polygon’s total value locked (~$326M vs. $1.19B) and around 23% of its gas consumption. The platform also drives substantial USDC liquidity and user activity on Polygon. The timing of the migration appears strategic, coinciding with Polymarket’s anticipated token generation event (TGE). Moving before token issuance reduces complexity and allows the project to reposition itself as a full-stack “app + chain” system, potentially unlocking higher valuation and narrative appeal. This shift reflects a broader trend where top-tier applications, having achieved scale and economic independence, may choose to decouple from underlying networks that no longer provide sufficient added value.

marsbit12/23 06:03

The Economic Calculus Behind Polymarket's Exit from Polygon

marsbit12/23 06:03

Conversation with Polygon Founder: Escaping Poverty and Building a $30 Billion Crypto Company

Sandeep Nailwal, co-founder of Polygon, discusses his journey from a challenging childhood in India to building a $30 billion blockchain company. Growing up in poverty, he developed a strong drive for success. Nailwal works long hours, often sleeping only 4-5 hours a night, to advance Polygon’s mission of enabling sovereign individuals through decentralized systems. He believes blockchain and AI are critical for creating a borderless world with decentralized governance and financial freedom. While blockchain supports decentralization, AI represents a centralizing force, making their intersection vital for future societal structures. Nailwal also emphasizes the importance of philanthropy, aiming to reduce suffering for others based on his own experiences. Polygon faced significant challenges, including financial struggles and market volatility, but has grown into a leading platform. Projects like Polymarket choose Polygon for its scalability and network effects. Looking ahead, Nailwal plans to focus on AI and decentralized governance long-term, aiming to contribute to a freer, more equitable global system.

marsbit12/14 11:41

Conversation with Polygon Founder: Escaping Poverty and Building a $30 Billion Crypto Company

marsbit12/14 11:41

Polymarket Passive Income Guide: From Volume Scripts to AI Automation

Polymarket, a leading prediction market platform on Polygon, enables users to bet on real-world events using USDC. This guide outlines strategies for building automated trading bots to profit on the platform, capitalizing on its open API, transparent order books, low fees, and frequent trader errors. Bot strategies are categorized by complexity: - **Beginner Bots**: Includes volume-bots for potential airdrop farming (buying/selling the same position repeatedly) and volatility bots that bet on mean reversion after price spikes. - **Intermediate Bots**: Market-making bots place limit orders to capture bid-ask spreads and earn liquidity rewards, requiring significant capital and carrying volatility risk. - **Advanced Bots**: Arbitrage bots exploit pricing inefficiencies (e.g., YES/NO pairs summing below 100%), while AI-powered bots use machine learning models to analyze multiple data sources (news, on-chain activity, social sentiment) to identify mispriced probabilities across markets. All bots require a core tech stack: access to Polymarket’s API, a Polygon wallet with USDC, historical data storage (e.g., PostgreSQL), and Python-based tools for execution and analysis. Success relies on speed, discipline, scalability, and data integration, but effective risk management is essential to avoid significant losses.

比推12/10 23:23

Polymarket Passive Income Guide: From Volume Scripts to AI Automation

比推12/10 23:23

How to Build a Polymarket Passive Income Bot from Scratch

Polymarket, a leading prediction market platform on Polygon, allows users to bet on real-world events using USDC. Its open API, transparent order book, low fees, and numerous human traders making errors create a fertile ground for automated trading bots. This article breaks down bot strategies from basic to advanced. Beginner-level bots include airdrop farming bots that generate volume by repeatedly buying and selling the same position, and volatility捕捉 bots that bet on mean reversion after sharp price swings. Intermediate strategies involve market-making bots, which profit from bid-ask spreads and liquidity rewards by placing limit orders, though they require significant capital and risk losses during sudden market moves. Advanced bots include arbitrage bots that exploit pricing inefficiencies between related outcomes (e.g., YES/NO shares summing under 100%), and AI-powered bots that integrate multiple data sources—historical prices, news, on-chain activity, social sentiment—to identify mispriced probabilities and execute trades across hundreds of markets. All bots require access to Polymarket’s API, a Polygon wallet for USDC transactions, historical data storage (e.g., PostgreSQL), and a Python-based toolchain. Bots succeed due to their speed, discipline, scalability, and data-processing capabilities. However, effective risk management is crucial, as strategies can fail due to liquidity issues, unexpected news, or intense competition. Building a profitable AI bot is particularly resource-intensive, akin to running a startup.

Odaily星球日报12/10 03:15

How to Build a Polymarket Passive Income Bot from Scratch

Odaily星球日报12/10 03:15

Prediction Markets: A Decade of Refinement, Who's Next?

The evolution of the crypto prediction market is a compelling case study, having taken nearly a decade to achieve product-market fit (PMF) after being prematurely dismissed. Early projects like Gnosis (2015) and Augur (2018) struggled with high Ethereum gas fees, poor user experience, regulatory pressure (e.g., CFTC classifying them as gambling), and immature oracles, leading to low liquidity and trading volumes. The turning point came in 2024, catalyzed by the U.S. presidential election. Polymarket’s trading volume surged, with monthly activity exploding from $62 million to $2.1 billion. By 2025, the sector’s annual trading volume reached $27.9 billion. Key drivers for this breakthrough include: 1) Improved infrastructure (Layer 2 solutions like Polygon and Base drastically reduced fees and sped up transactions); 2) Regulatory shifts (CFTC approval of platforms like Kalshi and clearer crypto-friendly policies); 3) A new market narrative focused on utility over speculation, amplified by media coverage; and 4) Broader event categories beyond politics. This demonstrates that some "disproven" crypto sectors may not lack PMF but were simply ahead of their time, awaiting better infrastructure and market conditions. This pattern suggests potential future revivals in other early-stage areas like crypto gaming, social, or DePIN.

marsbit12/08 08:31

Prediction Markets: A Decade of Refinement, Who's Next?

marsbit12/08 08:31

A Decade in the Making: Is the Prediction Market's Next Star About to Take the Stage?

The evolution of the crypto prediction market is a notable case of a once-dismissed sector achieving product-market fit after a decade. Early platforms like Gnosis (2015) and Augur (2018) struggled due to high transaction costs, poor user experience, regulatory pressure (e.g., CFTC classifying them as gambling), and immature oracles. By 2020, platforms like Polymarket remained niche, with low trading volumes and TVL. The turning point came in 2024, driven largely by the U.S. presidential election. Polymarket’s election prediction market saw over $2.7 billion in volume, with monthly trading surging from $62 million to $2.1 billion. Key factors for this breakthrough include: improved scalability and lower fees via L2 solutions like Polygon and Base; regulatory shifts, such as CFTC approving platforms like Kalshi; and broader market narratives emphasizing real-world utility over speculation. Prediction markets have evolved from being perceived as gambling to providing real-time probabilistic signals, attracting institutional investment and mainstream media attention. The sector’s growth underscores that early "failure" in crypto may stem from immature infrastructure rather than lack of demand, suggesting other dismissed sectors like crypto gaming or DePIN could similarly rebound under improved conditions.

比推12/08 05:59

A Decade in the Making: Is the Prediction Market's Next Star About to Take the Stage?