# 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.

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Hace 2 días 05:59

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

比推Hace 2 días 05:59

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.

marsbitHace 2 días 08:31

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

marsbitHace 2 días 08:31

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Hace 19 hora(s)

How to Build a Polymarket Passive Income Bot from Scratch

Odaily星球日报Hace 19 hora(s)

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