Kalshi's Pre-IPO Stock Price Soars, Is It Still Time to Buy?

marsbitPubblicato 2026-01-29Pubblicato ultima volta 2026-01-29

Introduzione

Kalshi, a leading US-regulated prediction market platform, has seen its pre-IPO stock price surge by 21.7% in the past 30 days, significantly outperforming major cryptocurrencies like BTC and ETH. The prediction market sector is experiencing explosive growth, with total trading volume exceeding $50 billion in 2025. Kalshi reported a record $23.8 billion in annual trading volume for 2025, a 12x year-over-year increase, and is projected to reach a monthly trading volume of $9.1 billion in January 2026. The platform's rapid growth has attracted significant capital, including a $1 billion funding round led by Paradigm, valuing the company at $11 billion. Pre-IPO share prices for Kalshi vary across platforms, ranging from $307 on Nasdaq Private Market to $450 on crypto-native marketplaces. The article analyzes whether investing in Kalshi's pre-IPO shares remains a viable opportunity given its meteoric rise and market dominance.

Original|Odaily Planet Daily(@OdailyChina)

Author|Wenser(@wenser 2010)

The scale, trading volume, and other data of the prediction markets continue to grow rapidly. The pre-IPO markets of leading platforms like Kalshi and Polymarket have also attracted significant market attention and liquidity. According to data from the PreStocks platform, Kalshi's pre-IPO stock price has surged 21.7% in the past 30 days, far exceeding the gains of mainstream cryptocurrencies like BTC and ETH over the past month.

Before the IPO cake is served, the Pre-IPO sector might be the battleground suitable for more people to participate in early. This article by Odaily Planet Daily will analyze whether the pre-IPO market for prediction market stocks is worth a heavy bet from the perspectives of industry track, platform data, and capital valuation.

Behind the Judgment "Prediction Markets Still Have 100x Upside Potential": Total Trading Volume Exceeds $50 Billion in 2025

Last August, 1confirmation founder Nick Tomaino boldly claimed that "prediction market trading volume will grow 100 times."

At that time, the "twin stars of prediction markets," Polymarket and Kalshi, had not yet secured financing above the $1 billion level, their valuations were far from the $10 billion scale, and the overall trading volume of prediction markets in July was less than $2 billion, nearly halved compared to the historical high of over $4 billion in October 2024. The judgment of 100x growth space seemed like nonsense.

But soon, in October 2025, Polymarket officially announced a $20 billion investment from ICE Group, the parent company of the NYSE, skyrocketing its valuation to $9 billion, and later sought a new round of financing at $12-15 billion; Kalshi completed 2 rounds of financing between October and December, with the latest round reaching $1 billion, surging its valuation to $11 billion, led by Paradigm, with participation from Sequoia, a16z, Meritech Capital, IVP, ARK Invest, Anthos Capital, CapitalG, and Y Combinator.

Behind the capital's fervent pursuit is the rapid and vigorous development of prediction markets.

According to data from our previously published article "2025 Prediction Market Review: Total Trading Volume Exceeds $50 Billion, Dual Giants Account for Over 97.5% Market Share":

  1. In September 2025, the combined trading volume of Kalshi and Polymarket reached $1.44 billion;
  2. In October 2025, prediction market trading volume reached $8.7 billion, with Kalshi leading and Polymarket following;
  3. In November 2025, the combined trading volume of Kalshi and Polymarket approached $10 billion, with Kalshi's trading volume reaching $5.8 billion, a 32% month-on-month increase; Polymarket's trading volume reached $3.74 billion, a 23.8% month-on-month increase.
  4. In December 2025, analyst Patrick Scott stated that prediction market trading volume exceeded $13 billion in November 2025, more than three times the trading volume during the peak of the 2024 election.

Thus, in just a few months, the overall monthly trading volume of prediction markets increased about 6 times. From this perspective, 100x growth is not out of reach.

After all, 100 times $2 billion is only $200 billion. Compared to the total trading volume of over $50 billion in prediction markets in 2025, it only requires a 4x growth. Behind such rapid growth is the frenzied advancement of Kalshi, this US-compliant prediction market platform.

Kalshi Aims to Become the "Leading Stock in Prediction Markets": 2025 Trading Volume Nearly $24 Billion, January Volume Expected to Reach $9 Billion

The emphasis on Kalshi's "compliant status in the US market" is because, based on its various licenses and compliance preparations, the door to an IPO is easier for Kalshi to push open. Furthermore, as a pioneer in the prediction market platform founded in 2018 (Odaily Planet Daily Note: The platform officially launched in July 2021, slightly later than Polymarket), Kalshi's business growth in recent years has been extremely impressive.

Kalshi's 2025 Report Card: Annual Trading Volume $23.8 Billion, Number of Trades Reached 97 Million

KalshiData previously stated that in 2025, all of Kalshi's metrics achieved record growth.

  • In terms of nominal trading volume, the annual total reached $23.8 billion, a year-on-year increase of 1108%, approximately 12.1 times. December set a monthly historical high of $6.38 billion, the 4th week of December set a weekly historical high of $1.7 billion, and December 21st set a daily historical high of $381.7 million.
  • In terms of the number of trades, the annual total reached 97 million, a year-on-year increase of 1680%, approximately 17.8 times. December saw 27.67 million trades, the 4th week of December had 7.6 million trades, and December 21st had 1.5 million trades, all setting historical highs.

As we entered 2026, the growth of Kalshi's business data can be described as terrifying.

Kalshi's Business Surge: January 2026 Nominal Trading Volume Expected to Exceed $9 Billion

On December 16, 2025, Kalshi CEO Tarek Mansour stated that with the launch of the Combo feature, the platform's single-day trading volume hit a historical high of $340 million;

On January 12, 2026, the single-day trading volume of prediction markets grew to approximately $702 million, setting a new historical high; among which, Kalshi accounted for approximately $465 million, about two-thirds of the total, while Polymarket and Opinion collectively contributed about $100 million in trading volume.

On January 26, KalshiData stated that as of January 23, Kalshi's monthly nominal trading volume was approximately $6.7 billion, with a daily average trading volume of approximately $293 million. If the current pace is maintained, Kalshi's nominal trading volume in January is expected to reach approximately $9.1 billion.

It is worth mentioning that last October, the overall trading volume of prediction markets was $8.7 billion, with Kalshi's market share around 45%-55% ; now, the monthly trading volume of just the Kalshi platform exceeds the overall market size at that time. This reflects both the红利期 (dividend period) of the prediction market整体 being in a时代风口 (era wind vent), and also shows the可怕 (terrifying) business growth rate of Kalshi.

According to data from the KalshiData website, as of January 29, Kalshi's historical total trading volume exceeded $34.05 billion, with a daily average trading volume exceeding $20.48 million; looking at its nominal trading volume K-line chart, it has grown almost exponentially since September 2025.

Capital Market Pricing Range: Kalshi Single Share Price is $300-$450

Finally, as the current number one prediction market platform, although Kalshi's specific IPO time and number of shares issued have not been determined,结合 (combining) its previous financing news and external statements, an IPO is a certainty. Currently, there are many divergences in the pre-IPO market pricing of its stocks between traditional financial markets and cryptocurrency markets:

The pre-IPO market in traditional financial markets prices Kalshi's stock relatively lower——

  • On Nasdaq Private Market, Kalshi's single share is priced around $307;
  • On Hiive, Kalshi's single share is priced around $357.

The pre-IPO market in cryptocurrency markets prices Kalshi's stock relatively higher——

  • On PreStocks, Kalshi's implied market capitalization is approximately $14 billion, with a single share price of about $407;
  • On Jarsy, Kalshi's market valuation is $11 billion, with a单独 (separate) pricing of $450 per share.

In the next article, Odaily Planet Daily will analyze in detail the price range worth buying for Kalshi's pre-IPO stock market, dissecting the investment opportunities in prediction market stocks from the perspective of the pre-IPO market.

Domande pertinenti

QWhat is the recent pre-market stock price performance of Kalshi, and how does it compare to major cryptocurrencies?

AAccording to PreStocks platform data, Kalshi's pre-market stock price has surged by 21.7% in the last 30 days, significantly outperforming the gains of major cryptocurrencies like BTC and ETH over the same period.

QWhat was the total trading volume for the prediction market in 2025, and what growth does this represent?

AThe total trading volume for the prediction market in 2025 exceeded $50 billion. This represents a period of rapid, explosive growth for the sector.

QWhat are the key business metrics that demonstrate Kalshi's rapid growth in 2025?

AIn 2025, Kalshi's annual trading volume reached $23.8 billion, a 1108% year-over-year increase. The platform also processed 97 million trades, a 1680% increase from the previous year.

QWhat is the projected trading volume for Kalshi in January 2026, and what record did it recently set?

AKalshi is projected to reach a monthly nominal trading volume of approximately $9.1 billion in January 2026. The platform recently set a new single-day trading volume record of approximately $465 million on January 12th, 2026.

QWhat is the current pre-IPO valuation and share price range for Kalshi across different markets?

AKalshi's pre-IPO valuation and share price vary by market. On traditional financial platforms like Nasdaq Private Market and Hiive, the share price is around $307 and $357, implying a lower valuation. On crypto-native platforms like PreStocks and Jarsy, the implied valuation is higher, with share prices around $407 (implied $14B valuation) and $450 (implied $110B valuation), respectively.

Letture associate

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit27 min fa

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit27 min fa

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit37 min fa

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit37 min fa

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit2 h fa

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit2 h fa

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit2 h fa

Token Inefficient, Economy Tokenless

marsbit2 h fa

Trading

Spot
Futures
活动图片