$300 Million Raised, CFTC Approved, Kalshi Competing for Prediction Market Dominance

10/14/2025, 10:25:04 AM
Intermediate
Blockchain
This article analyzes the mechanisms and volume boosting strategies of leading prediction market platforms like Polymarket, Kalshi, Myriad, and Limitless. It covers topics such as order book liquidity rewards, position returns, arbitrage, hedging, platform points, and token expectations, and explains how users can participate and optimize their strategies. Whether you're new to prediction markets or an experienced arbitrageur, this guide will help you understand the underlying logic and potential risks of volume boosting.

On October 7, Intercontinental Exchange (ICE), the parent company of the New York Stock Exchange, announced a $2 billion investment in prediction market platform Polymarket at an estimated $9 billion valuation. Just three days later, Kalshi—another major player in the prediction market space—closed a $300 million funding round, bringing its valuation to $5 billion.

Meanwhile, Polymarket founder Shayne Coplan has repeatedly reposted or liked posts hinting at a potential token launch. This time, he listed several mainstream crypto asset symbols on social media, adding the $POLY ticker—effectively signaling an upcoming token issuance. These developments have sparked FOMO within the community, pushing prediction markets back into the spotlight.

BlockBeats has compiled a set of practical strategies and tools to help users maximize their participation in airdrops across leading prediction market platforms. Below, we detail volume-boosting methods for Polymarket, Kalshi, Myriad, and Limitless.

Polymarket

Despite rumors that Polymarket has already completed its airdrop snapshot, it remains worthwhile to participate.

As the largest decentralized prediction market, Polymarket’s mechanism design includes robust “liquidity incentives.” To encourage users to provide liquidity through limit orders, Polymarket offers a limit order liquidity rewards program. Users posting buy or sell orders near the mid-market price—effectively acting as market makers—earn daily rewards. These rewards, funded by the treasury, are calculated based on order depth and proximity to the mid-price. Simply put, the closer your order is to the mid-market price and the greater its size, the higher your reward.

This mechanism has given rise to aggressive order arbitrage strategies. Some users place large buy orders at extreme price endpoints. During sharp market swings, when event probabilities are temporarily undervalued, these low-priced orders are automatically filled, allowing users to acquire cheap positions and profit as prices normalize. Because these orders are far from the mid-price, they carry minimal cost but can absorb panic selling, enabling high-efficiency market entry. Additionally, while waiting, unfilled orders can still accrue liquidity rewards. Note, however, that this strategy carries inherent risk.

Beyond liquidity incentives, Polymarket provides a long-term holding interest mechanism to stabilize markets for extended-duration events. Select markets offer a 4% annualized holding reward. For these, the platform samples user positions hourly and pays interest daily. One effective strategy is to hold positions long-term in such markets for stable returns while hedging in related markets to mitigate price risk. For example, you might hold a large “Yes” position in a “Candidate Wins” market to earn interest, while hedging with an equivalent “No” position in a related “Other Candidate Wins” market—reducing exposure and focusing on the holding yield.

Another proven technique is risk-free arbitrage across related markets. Similar to funding rate arbitrage in perpetual contracts, users monitor multiple markets for the same event to spot pricing inefficiencies. When two related markets’ implied probabilities sum to less than 100%, you can buy the undervalued side and short the overvalued side, locking in risk-free returns.

For example, if “A Wins” is priced at $0.40 (implying a 40% probability) and “B Wins” at $0.50 (implying 50%), their combined probability is only 90%—not 100%. The market is collectively underestimating some outcome. Buy “A Wins” (undervalued) and short “B Wins” in equal amounts; with a total cost under $1, you can hold until settlement for a risk-free gain.

Polymarket’s thriving ecosystem has enabled the development of specialized arbitrage tools. Polyfactual, for instance, runs cross-platform arbitrage bots that monitor prices for identical events across Polymarket, Kalshi, and other platforms, executing synchronous trades when opportunities arise. Token holders on Polyfactual share arbitrage profits in proportion to their holdings. Nevua Markets allows users to set keyword alerts to instantly catch cross-market arbitrage opportunities.

Other community-built tools—such as PolySights and Polyburg—enable real-time monitoring of price spreads, market depth, and trade data. Paired with simple Python scripts, users can identify arbitrage and high-probability opportunities. The officially integrated Polymarket Analytics platform provides stable data and supports queries by market or address for metrics including trading volume, open interest, price trends, account P&L, and position changes.

In summary, small-scale users are best suited to earning liquidity rewards via limit orders, while larger accounts can maximize returns by holding long-term positions, earning interest, and hedging related markets to mitigate risk.

Kalshi

Kalshi’s annual trading volume has skyrocketed from $300 million last year to a projected $50 billion this year, recently eclipsing Polymarket to claim over 60% of the market share. By integrating event contract trading into mainstream retail apps like Robinhood and Webull, Kalshi has dramatically increased the accessibility of prediction markets—making it a prime opportunity not to be missed.

Kalshi charges a transaction fee of roughly 0.7%–3.5% per contract (based on price), but the platform does not profit directly from user P&L. All pending limit orders are fee-free, and this maker incentive ensures deep liquidity on the order book.

By leveraging Kalshi’s fee structure, users can substantially reduce trading costs by posting limit orders, enabling massive trade volumes with minimal capital outlay. Providing liquidity via limit orders—that are not immediately filled—incurs no fees, and when filled as a maker, there is still no trading fee. Thus, users should avoid aggressively “taking” orders and instead post orders at advantageous prices and wait for execution.

For example, if you’re bullish on an event, you need not take a sell order immediately. Instead, place a buy order at a slightly lower price and wait. If your order isn’t filled right away, there’s no fee, and you can cancel or adjust at any time. By persistently posting and adjusting orders, you can accumulate trading volume as spreads narrow, all while avoiding costly taker fees.

Targeting niche markets with information asymmetry is another way to achieve high returns with low capital. Kalshi’s popular markets—such as Fed rate decisions or presidential elections—are highly competitive and efficiently priced, making it difficult to gain an edge. In contrast, less-trafficked markets offer greater information gaps, allowing for focused, small-bet strategies that yield outsized returns.

Veteran traders recommend focusing on specialized markets such as “small-cap company quarterly earnings” or “regional weather metrics.” If you possess domain expertise or access to official data, you may assess event probabilities more accurately than the average participant. These markets tend to be thinly traded with high volatility, so repeated small trades can both boost volume and provide excess returns as prices correct.

One X user, Argona0x, shared his real-world strategy: starting with just $10, he targeted information-inefficient markets, executed 20–30 small trades daily, and leveraged Kalshi’s free competitions and points programs to earn around $40 in weekly rewards. While results vary, focusing on niche markets and leveraging your informational edge is a low-cost, effective way to boost volume.

To manage risk, avoid concentrating capital in a single market; diversify appropriately. For illiquid markets, set stop-loss thresholds—e.g., exit if losses reach 5–10% of total capital—to prevent outsized drawdowns. Savvy traders typically participate in 3–5 market categories simultaneously, with no more than 20% of capital per market, reducing “black swan” risk to overall returns.

Kalshi’s open ecosystem has fostered a range of third-party tools and strategies for maximizing efficiency and win rates. Some developers aggregate data from multiple prediction platforms to build cross-platform dashboards for monitoring price discrepancies between Kalshi, Polymarket, and others.

ArbBets is an arbitrage scanner that identifies opportunities across betting and prediction markets. It monitors prices for the same event across 100+ platforms—including Polymarket and Kalshi—and flags simultaneous buy/sell opportunities for risk-free profit. ArbBets also offers +EV filters, helping users find trades where the win rate exceeds implied odds.

Billy Bets AI Agent pairs real-time data with machine learning, automatically identifying and executing high-probability bets. With Billy’s natural language trading terminal, users can input queries like “What are tonight’s NFL positive EV bets?” and receive instant market matches and automated order execution, with real-time ROI tracking.

Since its June 2025 launch, Billy has routed over $1 million in bets, with weekly transaction volume growing 23%. This AI agent simplifies decision-making and is ideal for users seeking passive, high-win-rate trades.

Myriad

Myriad is a Web3 prediction market protocol incubated by DASTAN (Decrypt’s parent company), featuring in-content prediction markets embedded in media. While reading Decrypt articles or listening to Rug Radio podcasts, users can directly participate in related predictions. As of early October 2025, Myriad’s cumulative USDC trading volume reached $18.5 million, with more than 5 million transactions.

Users participate using Points, which can be earned for free via social account linking, reading articles, watching videos, daily logins, and task completion. Points aren’t redeemable for fiat, but leaderboard status and win rates can bring future community recognition or special rewards.

Zero-cost volume boosting via Points is the preferred Myriad strategy. Losses come at no financial cost, making Points markets ideal for new users to experiment and quickly improve win rates. Completing daily check-ins and sharing content boosts your Points balance.

Advanced users create low-friction “wash trade” markets: Myriad allows custom market creation, so veterans act as “hosts,” launching short-term, low-controversy mini-markets and adding buy/sell depth with Points for initial liquidity. For example, “Will PNKSTR surpass $400M market cap in October?”

With few early participants, hosts can post thick orders on both sides using minimal Points, simulating active trading and attracting others. You must ensure your activity retains some randomness, as the platform detects pure self-trading. By leveraging Points market creation and matching, users can rapidly boost their transaction count.

Early-stage Myriad users often gain unexpected rewards—e.g., top 100 in a Points contest received priority for future $MYR token offerings. Users who participated in community testing and provided valid feedback were included in the first airdrop whitelist. Beyond volume boosting, active community participation and monitoring official Discord often yield extra benefits.

In summary, Myriad offers an innovative, low-barrier prediction market experience. By making the most of the Points system and embedded media features, users can gain experience without financial risk. If tokens or further rewards are introduced, these gains may result in meaningful future benefits.

Limitless

Limitless, launched on Base in 2024, is a fast-growing prediction market platform with over $400M in cumulative trading volume and 37,000+ active users. Its product design borrows from centralized exchange order books, supports splitting/merging Yes/No positions for capital efficiency, and allows multi-option event markets.

Limitless has announced a forthcoming $LMTS platform token. Despite past concerns about volume manipulation, strong investor backing sustains enthusiasm; its kaito presale was oversubscribed 200x during the recent holiday. The first Points season for airdrop qualification has ended, and the second season runs from September 22, 2025, to January 26, 2026. Users can earn Points via trading, liquidity provision, and inviting new users.

Limitless Points program has two hard requirements: first, cumulative trading volume must reach $200 to qualify for the leaderboard; second, the platform emphasizes trading quality, filtering out pure wash trades—only genuine participation and meaningful liquidity earn high scores.

Simply matching random small orders is unlikely to yield significant Points. Instead, active participation in popular markets and improving order book depth is weighted more heavily. Providing liquidity is a stable way to earn Points, and at season’s end, users are ranked — Silver, Gold, Platinum, Diamond — with bonus multipliers up to +20% for Diamond tier.

Since small trades alone don’t quickly accumulate Points, volume boosting strategies often involve hedging across multiple accounts in markets where the outcome is nearly certain. For example, in a market about to settle with Yes contracts at $0.998 and No at $0.002, buy 1,000 No on account A ($2 cost) and 1,000 Yes on account B ($998 cost). You actively self-match 1,000 contracts, creating $2,000 in volume. Regardless of the outcome, the net P&L is approximately neutral—if Yes wins, account B gets $1,000, account A’s No goes to zero; if No wins, account A gets $1,000, account B loses $998—almost break-even.

The strategy is to hedge near-settlement in almost certain markets, using multiple accounts to lock in high-volume trades.

Another approach is posting large orders at extreme prices for maker Points. Limitless counts any posted order as liquidity provision, even if not executed. So, post 1,000 sell orders at 99.9% (i.e., $0.999 Yes, $0.001 No)—collateral required is less than $1. With just $1, you provide 1,000 units of depth. If sampled, you earn Points. You can distribute similar orders across multiple markets. This way, you incur minimal cost and earn high Points.

Most such orders won’t fill (except during extreme moves), so risk is minimal. However, avoid mechanical, obvious patterns; distribute orders across active markets for a natural appearance.

While Limitless encourages volume boosting, trading quality matters—balance strategies to avoid low Points ratings. Sole wash trading in niche markets may be invalid; focus on popular markets and arrange hedges where real volume exists to avoid scrutiny.

Additionally, normal trading forms a genuine P&L record. Some users combine volume boosting with actual bets. After reaching Points requirements, they allocate a small amount to confident trades. This both offsets fees and presents a more natural P&L curve. On public leaderboards, high-volume, high-win-rate accounts stand out to the team.

Limitless has confirmed that $LMTS tokens will be airdropped at season’s end, with the second season running until late January. As part of the Base ecosystem, Limitless benefits from potential Base airdrops and backing from top institutions like Coinbase Ventures, making its long-term prospects widely optimistic.

Statement:

  1. This article is reprinted from [BlockBeats]; copyright belongs to the original author [BUBBLE]. If you have concerns or copyright issues regarding this reprint, please contact the Gate Learn team; we will address your inquiry as quickly as possible.
  2. Disclaimer: The views and opinions expressed in this article are solely those of the author and do not constitute investment advice.
  3. Other language versions of this article were translated by the Gate Learn team. Unless Gate is explicitly mentioned, no translated article may be copied, distributed, or plagiarized.

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