Kalshi Trading Volume Continues to Break Records, What Is the Reasonable Pre-Market Stock Price?

Odaily星球日报Published on 2026-02-11Last updated on 2026-02-11

Abstract

Amidst a recent market downturn, the prediction market sector has shown remarkable resilience. Kalshi, the largest regulated prediction market platform in the US, reached a record single-month trading volume exceeding $9.5 billion in January, making it the sector leader. This surge has sparked renewed interest in pricing its pre-IPO shares. Significant price discrepancies exist across different pre-IPO trading platforms. On PreStocks, Kalshi shares are priced between $364 and $369. On Jarsy, the price is notably higher at around $504. In contrast, traditional private markets like Nasdaq Private Market and Hiive list shares at approximately $320 and $358, respectively. The analysis suggests a reasonable pre-IPO share price range for Kalshi is between $320 and $423. This is based on its last private funding round valuation of $11 billion and an estimated implied valuation of at least $15 billion, supported by its surging trading volume which now nearly equals the entire prediction market's size from October of the previous year. The article concludes that Jarsy's current price appears high, while PreStocks may present a potential arbitrage opportunity. Furthermore, with 2026 being a major year for global sporting events, Kalshi's annual revenue potential is seen as substantial, potentially exceeding estimates for competitor Polymarket, which could lead to further increases in its pre-IPO valuation.

Original|Odaily Planet Daily(@OdailyChina)

Author|Wenser(@wenser 2010)

During the market downturn, the prediction market has become the most eye-catching track in the crypto market. In early February, when the market plummeted, BTC and ETH once fell by more than 10%, but prediction market trading remained active, with weekly transactions reaching 26.39 million, a record high. At the same time, as the largest compliant prediction market platform in the United States, Kalshi also surged to the top of the track with over $9.5 billion in trading volume in January this year, setting a new historical high for monthly trading volume. Following this, the market has initiated a new round of pricing for Kalshi's pre-market stock price.

The question we are discussing today is—what should the reasonable price range be for the pre-market stock of Kalshi, which is expected to become the "first stock in the prediction market"?

Overview of Current Pricing on Tokenized Stock Trading Platforms: PreStocks, Jarsy

As of the time of writing, there is a significant price difference for Kalshi's pre-market stock on two major tokenized stock trading platforms:

On the PreStocks platform, Kalshi's pre-market stock pricing includes two prices—

One price is the token price under the implied market capitalization (market liquidity pricing level), with a per-share price of approximately $369;

The other price is the marked price under the capital market capitalization (existing financing pricing level), with a per-share price of approximately $364.

On the Jarsy platform, Kalshi's pre-market per-share price has risen to approximately $504.

It is worth mentioning that compared to the time when we previously wrote the article "Kalshi's Pre-Market Stock Price Soars, Is It Still Worth Buying Now?", the pre-market prices of Kalshi stock on both platforms have experienced varying degrees of increases and decreases. The price situation at that time was as follows:

  • On PreStocks, Kalshi's implied market capitalization was approximately $14 billion, with a per-share price of about $407;
  • On Jarsy, Kalshi's market valuation was $11 billion, with a per-share price of $450.

In other words, the price on the PreStocks platform fell from $407 to approximately $369; the price on the Jarsy platform rose from $450 to approximately $504.

For comparison, the pre-market pricing for Kalshi stock in traditional financial markets has also changed—

  • On Nasdaq Private Market, Kalshi's per-share price rose from approximately $307 to around $320;

  • On Hiive, Kalshi's per-share price rose by $1 from approximately $357 to around $358.

Reasonable Pre-Market Pricing Range for Kalshi Stock: Approximately $320~$423

Last year, Kalshi completed a $1 billion Series E financing round with a valuation of $11 billion.

Based on the market capitalizations and corresponding stock prices mentioned above, the number of Kalshi shares is approximately between 30.72 million and 34.30 million.

Specifically, the number of shares is calculated as follows—
Based on a $11 billion valuation corresponding to the traditional financial market pre-market prices of $320 and $358, the number of Kalshi shares is approximately 30.72 million to 34.37 million;
Based on the implied market capitalization/token price and capital market capitalization/marked price on the PreStocks platform, the number of Kalshi shares is approximately 34.27 million to 34.30 million;
Based on the pre-market purchase price per share on the Jarsy platform, Kalshi's market capitalization tops out at $18.665 billion, with a per-share price of $604.84, and the number of shares is approximately 30.86 million.

Based on the above information, we can make the following deductions:

First, based on the $11 billion valuation, the reasonable pre-market pricing range for Kalshi stock is approximately $320-$358. In other words, the current pricing on crypto market tokenized stock trading platforms such as PreStocks and Jarsy is relatively high;

Second, Kalshi's trading volume in January reached $9.5 billion, close to the overall prediction market size of approximately $10 billion in October last year; in October last year, its market share was about 50% of the prediction market. From this perspective, Kalshi's current capital market valuation is at least above $15 billion.

Third, based on a $15 billion valuation and combined with data such as the range of the number of Kalshi shares, the pre-market pricing range for Kalshi stock is approximately $436~$488.

Therefore, if the number of Kalshi shares meets expectations, and under the premise of a $15 billion implied market capitalization, conservatively estimated, the reasonable pre-market pricing range for Kalshi stock might be $320~$378 (calculated based on the average of the lowest prices in the pricing range); optimistically estimated, the reasonable pre-market pricing range for Kalshi stock might be $358~$423 (calculated based on the average of the highest prices in the pricing range).

Based on the above data conclusions, the pre-market pricing for Kalshi stock on the Jarsy platform is relatively high, while the PreStocks platform offers some arbitrage opportunities.

In addition, the latest tokenized stock trading platform, Tessera, plans to open equity public offerings in the future, which readers can also consider as an alternative reference (invitation code can be found here).

Combined with the relevant information mentioned in the previously published article by Odaily Planet Daily, "Data Calculation Shows Polymarket's Annual Revenue Exceeding 100 Million Is Not Difficult, Provided That...":

Based on a static calculation of the trading volume and fee ratio in the "15-minute cryptocurrency rise and fall" market on Polymarket, under the current trading volume level and structure, if Polymarket introduces a similar fee model in all markets, it is expected to bring annual revenue of $418 million to the platform.

As a prediction market platform with larger trading volume and higher fees, and taking advantage of the timing of the major sports year in 2026, Kalshi's annual revenue is expected to exceed this estimated revenue of Polymarket. From this perspective, the capital market may further raise the pre-market pricing of Kalshi stock in the future.

Related Questions

QWhat is the current pre-market stock price range for Kalshi on PreStocks and Jarsy platforms?

AOn PreStocks, the pre-market stock price for Kalshi is around $369 (implied market cap) and $364 (capital market cap). On Jarsy, the pre-market price is around $504.

QWhat was the valuation of Kalshi after its Series E funding round last year?

AKalshi completed a $1 billion Series E funding round last year, valuing the company at $11 billion.

QWhat is the estimated reasonable pre-market stock price range for Kalshi based on a $11 billion valuation?

ABased on a $11 billion valuation, the reasonable pre-market stock price range for Kalshi is approximately $320 to $358.

QWhat is the optimistic estimated pre-market stock price range for Kalshi if its implied market cap reaches $15 billion?

AIf Kalshi's implied market cap reaches $15 billion, the optimistic estimated pre-market stock price range is approximately $358 to $423.

QHow does the article suggest Kalshi's future annual revenue might compare to Polymarket's estimated revenue?

AThe article suggests that Kalshi's annual revenue is expected to surpass Polymarket's estimated $418 million, especially with the advantage of the 2026 major sports events year, potentially leading to a higher pre-market stock valuation.

Related Reads

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

The article discusses the evolution of on-chain credit, distinguishing three markets: overcollateralized crypto lending, unsecured lending (largely unsuccessful), and asset-backed credit (ABC). ABC, backed by identifiable real-world collateral with legal recourse, is identified as the fastest-growing category and the only one credibly addressing adverse selection—the core problem in credit where the riskiest borrowers self-select. Current growth in on-chain Real World Assets (RWAs), particularly tokenized private credit funds (e.g., Maple Finance, Centrifuge), is substantial but often merely "wraps" existing fund structures, inheriting their risks rather than solving adverse selection at the protocol level. The regulatory landscape is a key driver, with the US GENIUS Act (prohibiting stablecoin issuers from paying yield) and the proposed CLARITY Act (closing loopholes on indirect yield) set to redefine permissible yield-bearing products. This makes vaults (like ERC-4626) the critical architecture—they become the primary compliant vehicle for delivering yield, functioning as issuance, disclosure, distribution, and recovery mechanisms. The author's thesis is that the correct post-GENIUS/CLARITY architecture involves building ABC solutions where credit assessment, structure, and recovery are encoded directly into the smart contract vault layer, moving beyond mere tokenized fund wrappers to solve adverse selection fundamentally and ensure regulatory compliance.

Foresight News26m ago

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

Foresight News26m ago

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

**Summary of TechFlow Intelligence Report:** The newsletter covers several key tech and finance developments. In AI, Anthropic's new Fable model faced backlash for secretly limiting biomedical research capabilities and enforcing a 30-day data retention policy, prompting the company to promise more transparent adjustments. In a related story, Anthropic's founder revealed his departure from OpenAI was due to dishonesty from Sam Altman, not safety concerns. Meanwhile, OpenAI is considering significant price cuts to compete with Anthropic, potentially sparking a price war. In crypto/Web3, BlackRock filed a new amendment for a yield-generating Bitcoin ETF, while Bank of America's CEO warned that stablecoin yields could drain trillions from traditional banks. U.S. Senator Cynthia Lummis advocated for the U.S. to officially accumulate Bitcoin reserves. In hardware, Nvidia released the DiffusionGemma-2-6B image model optimized for efficient inference, and AMD promoted its unified memory architecture to challenge Nvidia's dominance. TSMC's CFO hinted at possible price increases due to soaring AI chip demand. A major legal ruling in Germany held Google legally responsible for inaccurate information generated by its AI Overviews feature. Google Chrome also moved to fully block ad-blocker workarounds like uBlock Origin. Macroeconomic headlines included U.S. CPI rising to 4.2% (a 3-year high) and Iran's complete closure of the Strait of Hormuz, raising oil price and inflation fears. South Korean markets saw continued volatility with massive foreign capital outflow. Other notable stories: Microsoft expanded its Copilot AI assistant "Mico" globally; a study found r/wallstreetbets users' stock picks outperformed Wall Street; a fully autonomous drone killed a human soldier for the first time, raising AI ethics concerns; and a Chinese hospital used brain-computer interface technology to help a blind person "see." The overarching theme connects debates over AI boundaries and responsibility (Anthropic's restrictions, Google's liability, lethal autonomous drones) with real-world economic and geopolitical turmoil (inflation, Strait of Hormuz closure, market instability), highlighting the tense interplay between technological advancement and global chaos.

marsbit39m ago

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

marsbit39m ago

Alibaba's Yet Another New Business Division: What Signal Does It Send?

Alibaba has established a new "Token Foundry" business unit, merging its Tongyi large model division and Future Life Lab. Led directly by Group CEO Wu Yongming, this marks the company's third significant AI organizational reshuffle in 2026, following the creation of the Alibaba Token Hub (ATH) and a Group Technology Committee. The move signals a strategic shift from consolidating AI resources to accelerating productization and commercialization. The "Token Foundry" name reflects Alibaba's ambition to become a foundational supplier in the AI era, focusing on model development and commercial application. Key teams, including those behind the high-performing HappyHorse video generation model, have been integrated into the new unit. Concurrently, Zhou Jingren, architect of the Qwen model series, has been appointed Group Chief Scientist to lead a new AI Future Research Institute, focusing on long-term technological breakthroughs like Agent capabilities. This restructuring creates a clear four-layer AI architecture within Alibaba: the research institute for frontier exploration, Token Foundry for core models and commercialization, MaaS for platform services, and business units like Qianwen (C端) and Wukong (B端) for end-user applications. The adjustments align with a global trend among tech giants like Google and Microsoft to centralize AI leadership under the CEO and deeply integrate research with business units. The urgency is driven by a narrowing competitive window. Alibaba has announced its AI business is now entering a commercialization phase, with AI-related revenue seeing triple-digit growth for eleven consecutive quarters. The company faces intense competition in the MaaS (Model-as-a-Service) sector from rivals like ByteDance and Tencent. The Token Foundry initiative represents Alibaba's effort to streamline execution and enhance competitiveness in this critical, fast-evolving landscape.

marsbit1h ago

Alibaba's Yet Another New Business Division: What Signal Does It Send?

marsbit1h ago

From Return to Resignation: Chen Hang's 437 Days at DingTalk

The 437-Day Return and Departure of Chen Hang at DingTalk This article chronicles the 437-day period from March 31, 2025, to June 11, 2026, when Chen Hang (also known as "No Move") returned as CEO of DingTalk, the enterprise communication platform he originally founded, only to later step down. Chen Hang, the creator of DingTalk in 2015, was brought back by Alibaba in 2025 after the company acquired his subsequent startup, HHO. His return was driven by Alibaba's renewed focus on AI and DingTalk's strategic role as its key to-B AI application. However, his aggressive management style, marked by strict work policies like mandatory clock-ins and extended hours, quickly caused internal friction and was criticized as being at odds with Alibaba's culture. Despite the internal turmoil, Chen Hang drove significant product launches. In August 2025, he unveiled "AI DingTalk 1.0," featuring new products like the AI-native entry point "DingTalk ONE." By March 2026, he announced "Wukong," touted as the world's first enterprise-grade AI-native work platform, representing a fundamental rebuild of DingTalk's architecture. The turning point came in early June 2026. A detailed internal post criticizing DingTalk's work culture went viral, followed by a public critique from a former executive. This prompted an unprecedented public rebuke from the Alibaba Partners Committee, which stated such management was not aligned with company values. One day later, on June 11, Alibaba announced Chen Hang's departure. He was succeeded by Chen Yusen, a 32-year-old technical expert known for founding cybersecurity firm Changting Technology. While Chen Hang's tenure laid the technical foundation for DingTalk's AI transformation with "Wukong," his leadership style ultimately led to his replacement as the company seeks a new direction under younger leadership.

marsbit1h ago

From Return to Resignation: Chen Hang's 437 Days at DingTalk

marsbit1h ago

Trading

Spot
Futures
活动图片