I always assumed these 15-minute crypto prediction markets worked in the obvious direction:

BTC moves on Binance → Kalshi reprices

Makes sense. Binance has the giant spot/perp market, and the prediction market is basically reacting to it.

But I came across some second-by-second data this week that makes this a lot more interesting.

The question was basically:

When Kalshi’s 15-minute BTC market moves, does BTC on Binance tend to move in the same direction immediately afterward?

Apparently, increasingly yes.

The correlation between a Kalshi move and Binance's move over the following ~2 seconds:

January: 0.036 June: 0.145 August: 0.173

So we're not talking about some magical 90% predictive signal here. 0.173 is still fairly weak on its own.

What caught my attention is that the relationship has increased almost 5x since January.

And if that's real, the interesting question is why.

One possibility is that the people trading these markets aren't just watching Binance and clicking YES/NO.

Market makers and automated traders can be looking at:

• multiple CEX order books
• perp positioning
• liquidations
• futures
• order-flow imbalance
• other proprietary signals

They form a short-term view of where BTC is about to go, then express that view in the prediction market.

Which creates a strange feedback loop:

traders anticipate BTC move → Kalshi reprices → BTC move appears on Binance

At that point Kalshi isn't just reacting to Bitcoin.

Its market price is effectively becoming a public signal produced by a bunch of competing short-term forecasting systems.

There are some obvious caveats.

Correlation doesn't prove Kalshi is causing or even independently predicting the move. Both markets could simply be reacting to the same information with slightly different latency.

And the test I really want to see is the opposite direction:

Binance move → Kalshi over the next 0–2 seconds

Then compare the two.

But if this lead keeps getting stronger as these markets get more liquid, that's a genuinely interesting development.

We might eventually reach a point where watching the prediction market becomes useful even if you have absolutely no intention of trading prediction markets.

Anyone here with access to proper tick data who can test the lead/lag in both directions?

This is probably one of the crazier prediction-market studies I’ve read.

Researchers from Stanford and Singapore Management University analyzed Polymarket’s 5-minute Bitcoin Up/Down markets and found a very strange pattern around settlement.

The basic contract is simple:

Every five minutes, you bet whether BTC will finish above or below the price where that window started.

But unlike a sports result or an election, the thing deciding the bet is itself a tradable asset.

And Bitcoin can move very quickly when enough market orders hit at once.

According to the research paper, after Polymarket launched its 5-minute BTC markets, Binance spot activity began behaving very differently in the final 10 seconds before settlement.

Order flow suddenly spiked.

BTC moved toward the level needed to decide the Polymarket contract.

Then, immediately after settlement, part of that move reversed.

The effect was strongest in markets where moving Bitcoin just a little could flip which side would receive the $1 payout.

And this is where it gets wild.

The researchers looked at contracts where one side was already priced at 90%–100% probability with only 10 seconds remaining.

In normal cycles, the underdog won only about 1% of the time.

But in cycles classified as having a strong settlement-time push against the favorite:

the underdog won 34.2% of the time.

A position the market considered almost certain was suddenly being flipped roughly one out of every three times.

The researchers then reconstructed wallet-level PnL from Polymarket’s public on-chain trades.

Out of roughly 243,000 traders, they identified a cohort of just 821 wallets whose profit pattern was concentrated in these pushed settlement cycles.

Those 821 wallets captured approximately:

+$8.2 million

in the affected cycles over roughly two months.

Outside those cycles, the same group was approximately break-even.

So who lost the money?

According to the study:

93% of the losses fell on retail/other traders.

Retail accounts lost around $7.6 million, while market makers lost roughly $600,000.

The proposed mechanism is surprisingly simple.

Imagine you own a large number of cheap DOWN shares on Polymarket.

Bitcoin is slightly above the settlement threshold with seconds remaining, so DOWN is almost worthless.

Instead of accepting the loss, someone can potentially sell enough BTC on the underlying spot market to push Bitcoin below the threshold for a few seconds.

If that changes the Chainlink settlement price:

DOWN goes from nearly $0 → $1.

Once the prediction market has settled, there is no longer any reason to keep pushing BTC.

So the temporary spot move can reverse.

In other words, the profit on the prediction-market position can potentially be much larger than the cost of briefly moving Bitcoin.

The paper found exactly the kind of footprint you would expect from that behavior:

large final-second order flow → settlement flips → immediate price reversal.

There is an important caveat.

The researchers cannot directly prove that the same people controlling the profitable Polymarket wallets were also placing the corresponding Binance orders.

Binance accounts are not publicly linkable to Polygon wallets.

So “821 confirmed manipulators” would be too strong.

The researchers instead identify the wallets from their realized PnL behavior and argue that the combination of settlement timing, spot-market pushes, reversals, Polymarket positioning and where the profits appear is consistent with coordinated settlement manipulation.

Still, the numbers are pretty insane:

• 821 wallets
• $8.2M captured
• $7.6M lost by retail
• 93% of losses attributed to retail
• 90%+ favorites flipped 34.2% of the time during opposite-direction pushed cycles
• Most of the weird activity concentrated in the final seconds before settlement

And technically, nobody needed to hack Polymarket.

The potential exploit was simply understanding that the oracle price deciding the prediction market could itself be moved.

That seems like a much more fundamental problem than a smart-contract bug.

One of the strangest prediction-market settlement disputes I have seen has now turned into a $170,000 lawsuit.

The underlying trade happened in March. The fresh development is that the bettor is now taking Polymarket to court over the unpaid position.

Polymarket had opened a contract asking whether Donald Trump would say “Ayatollah” or “Khamenei” between March 9 and March 15.

The written market rules said a publicly accessible verbal mention recorded on audio or video would count.

The rules explained how plurals, possessives and compound words would be treated.

They did not explicitly say that Trump had to pronounce the name perfectly.

A bettor named Jesús Manuel Gonzalez Hernandez says he spent approximately $300 buying 170,000 YES shares.

If the market resolved YES, those shares would have paid $170,000.

Then, during a March 15 press gaggle aboard Air Force One, the published transcript records Trump saying:

>“They showed about 250,000 people in a square saying how much they love Khamenei.”

The transcript records Trump using Khamenei again a few minutes later.

Despite that, the contract resolved NO.

The 170,000 YES shares paid $0.

According to the report on the lawsuit, the explanation for the NO resolution was that Trump may have mispronounced the name or may have been referring to Ruhollah Khomeini, the former Iranian leader who died in 1989, rather than Khamenei.

Hernandez’s lawyers argue that the written rules never required exact pronunciation and never specified which person named Khamenei had to be referenced.

They also argue that interpreting Trump’s comment as a reference to Khomeini makes little sense in the context of what he was discussing.

Polymarket declined to comment on the pending lawsuit. No court has ruled on whether Hernandez is entitled to the money.

To me, the bigger issue is not even this particular bet.

It is whether a prediction market can use a pronunciation distinction to decide a six-figure payout when no pronunciation standard appeared in the rules before people traded.

A former engineer at one of the world’s top quantitative trading firms says he has made more than $7 million trading on Kalshi.

The trader, known publicly as “lad.”, previously spent several years working as an engineer at Hudson River Trading.

He reportedly discovered prediction markets while serving a non-compete period, when he was temporarily restricted from joining another traditional trading firm.

Instead of waiting it out, he started trading events on Kalshi.

His public Kalshi profile now shows millions of dollars in profit across hundreds of thousands of predictions.

And apparently, Wall Street has noticed.

According to a recent eFinancialCareers report, hedge funds and proprietary trading firms are now offering elite prediction-market traders compensation packages worth approximately $1 million to $2 million.

Recruiters say firms increasingly want traders who can prove they already know how to make money on platforms such as Kalshi and Polymarket.

Some quant firms are reportedly even updating their non-compete agreements to explicitly cover prediction-market trading.

That means an employee placed on paid gardening leave may no longer be able to spend the break independently trading event contracts and building a public track record.

The reason firms are paying attention is fairly obvious.

A successful prediction-market trader needs a strange mix of skills:

• Probability and statistics
• Fast execution and automation
• Understanding of market microstructure
• The ability to interpret complicated settlement rules
• Deep knowledge of specific areas such as politics, economics or sports

Recruiters quoted in the reporting said some active prediction-market quants are earning between $500,000 and $1 million, but only a small number are good enough to receive serious institutional offers.

So the opportunity is real, but this clearly is not the average trader’s result.

Still, the career decision here is interesting.

P.S. Eligible new users can qualify for a randomized Kalshi bonus of up to $500 after depositing $10 and completing $25 in cumulative trades.

George Santos found a prediction market he could influence better than almost anyone else:

Whether George Santos would attend the State of the Union.

According to the official CFTC order, Santos initially accumulated 30,874 YES contracts on Kalshi.

He then asked his followers on X whether he should wear a “muted or serious” suit to the speech or a bedazzled one.

Several hours later, the YES price had jumped from 15¢ to 70¢.

Santos sold his entire YES position and made $3,448.43.

The following day, he publicly insisted that he still planned to attend:

>I’ll be there in the gallery haunting them all lol.

He also posted a video saying:

>I am going to be there for the State of the Union in the gallery guys.

After those posts, YES moved from approximately 40¢ to 70¢.

Then, about 40 minutes later, Santos started building a 23,855-contract NO position.

At around 7 p.m., his train to Washington was canceled. His flight had already been canceled the previous day.

An X user then directly asked him:

>Are you actually going to the State of the Union?

Santos replied:

>I am.

According to the CFTC, he did not publicly disclose that both his flight and train had already been canceled.

The following day, IP records showed Santos accessing Kalshi from his residence.

When he later posted that he was watching the State of the Union from an airport television, the YES price collapsed from approximately 73¢ to 2¢.

His NO position produced another $14,390.57 in profit.

The CFTC concluded that Santos made misleading public statements and omitted material information while trading a market whose outcome he could personally influence.

He agreed to:

• Return $17,569.98 in unlawful trading profits
• Pay an additional $17,500 civil penalty
• Accept a three-year trading ban

Santos settled the case without admitting wrongdoing. His lawyer said that he genuinely intended to attend but changed his plans because of the weather.

Kalshi reportedly identified the suspicious activity and referred it to regulators.

So which conclusion makes more sense?

Kalshi’s surveillance system successfully caught someone trading a market he could personally influence?

Or:

People should never be allowed to trade prediction markets about their own actions in the first place?

P.S. Eligible new users can qualify for a randomized Kalshi bonus of up to $500 after depositing $10 and completing $25 in cumulative trades.

This may be one of the clearest prediction-market insider trading cases we’ve seen so far.

According to AP and ABC News, White House teleprompter operator Gabriel Perez allegedly used advance knowledge of Trump’s speeches to make more than $100,000 on Kalshi’s Mentions markets.

Those markets let traders buy contracts on specific words or topics Trump might mention during a speech. The reported activity included bets connected to major appearances such as the State of the Union.

For context, one of Kalshi’s State of the Union “What will Trump say?” markets alone recorded more than $28.3 million in volume.

Perez was initially placed on unpaid leave. A White House official has now confirmed that he “no longer works in the federal government,” although it is still unclear whether he resigned or was fired.

The important detail is that Kalshi says its own surveillance team flagged the suspicious trades, investigated them and referred the activity to the CFTC. Kalshi also prohibits users from trading on privileged information obtained through their employment.

Prediction markets are supposed to reward people who interpret public information better than everyone else. Having the speech loaded into your teleprompter before the market sees it is a slightly different kind of edge.

Do you think cases like this can be controlled with proper surveillance, or will insider access always be one of the biggest problems for prediction markets?

AP report

New to Kalshi? Eligible new U.S. users can receive a randomized $15–$500 trading bonus after completing $25 in eligible trades within 7 days through this official Kalshi promo link.

LeBron’s surprise 76ers announcement created one of the craziest Kalshi market moments I’ve seen in a while.

According to the breakdown, two accounts bought Philadelphia shares literally seconds after LeBron posted that he was joining the 76ers, while the market was still pricing Philly at around 9¢.

The numbers are wild:

• one account spent $2,374.32
• another spent $1,350
• total spent: $3,724.32

Final payout: $41,381.33

So that’s roughly $37.6K in profit from reacting faster than the market.

From what I’ve seen, this was most likely speed/automation rather than some mystery insider angle. It looks like the market just took a moment to fully catch up after the tweet.

Honestly, this is one of the best examples of why prediction markets are so interesting. Sometimes the edge is not about “predicting the future” better than everyone else — it’s about reacting faster when real-world information drops.

Would you count this as fair game, or does stuff like this make prediction markets feel too bot-dominated?

If anyone wants to try Kalshi, they currently have a $20 Reddit exclusive bonus: deposit $10, get $20 [Official Promotion].

I also wrote a quick Reddit guide explaining how to claim the bonus and how it works.

Source on the LeBron market story:
https://nypost.com/2026/07/24/betting/how-programmers-capitalized-on-crazy-229-million-lebron-james-markets-after-surprise-76ers-reveal/

I thought the -$10.8M number had to be a typo, but the wallet history is public.

According to Lookonchain, Polymarket trader DEEDDIT went from being down roughly $10.8 million to more than $8 million in all-time profit in about two weeks.

That is an almost $19 million swing.

The turning point was France vs Spain. The account reportedly had around $11.3 million riding on Spain to advance, with much of the position bought near 44.5¢.

Spain won 2-0, and DEEDDIT posted approximately $9.9 million in profit that day.

The account’s current stats are still ridiculous:

• +$8.05M all-time PnL
• $72.1M in volume
• 17 markets
• 58.8% win rate
• No open positions

Polymarket currently lists $6.1M as the biggest individual win, so the $9.9M figure appears to be the account’s total profit across multiple positions that day rather than one single contract.

CHECK DEEDDIT’s WALLET

Was this elite conviction, completely reckless position sizing that happened to work, or somehow both?

A guy on X correctly picked Spain to win Kalshi’s free $1M World Cup giveaway.

His final share of the prize pool was $15.62. If the $1 million was split evenly, that means roughly 64,000 other people also picked Spain.

Predicting the winner of the entire World Cup and receiving one celebratory combo meal is honestly pretty funny. Still, free money is free money.

Does anyone know if every correct prediction received the same amount, or whether submitting your pick earlier had any effect on the payout?

For anyone interested, Kalshi currently has a $20 Reddit-exclusive bonus: deposit $10, get $20.

I also made a quick Reddit guide explaining how to claim the bonus and how it works.

he bet nearly $2 million on Spain!

aspargus2012 bet $1,953,395 on Spain to win the World Cup final

over the past week, his profit on Polymarket has already exceeded $2,100,000!

CHECK HIS WALLET

However, he lost betting on Englad to win the World Cup.

Go big or go home?

Updated July 14, 2026

I kept seeing different answers on Reddit about the current Kalshi promo code, the Kalshi bonus link, and what actually triggers the $20 Kalshi sign-up bonus.

I checked Kalshi’s current referral FAQ and collected the rules that matter.

How to claim the Kalshi $20 bonus

1. Open the Kalshi promo link before creating your account.
2. Create a new Kalshi account and complete identity verification.
3. Before depositing, check your Rewards section and confirm that the referral offer is attached.
4. Deposit at least $10.
5. Complete the exact trading requirement shown in Rewards. The required trading amount may not be the same for every promotion.
6. After completing the requirement, check Rewards or Referrals for a Claim button. Kalshi says referral credits are not always added automatically.
7. Confirm the bonus under Activity → Credit and use it before the expiration date.

Kalshi promo code offer for July 2026

The offer currently promoted through this link is: deposit $10 and get $20 in trading credit.

Check the current Kalshi bonus link

The important detail is that Kalshi says referral amounts and requirements can vary between programs. After signing up, open the Rewards section and follow the exact trading requirement displayed there.

Do not assume that depositing $10 is always the final step.

Current Kalshi bonus terms

• The referral incentive is currently limited to eligible U.S. users
• Identity verification is required
• The referral link or code must be attached before the first deposit
• Complete the trading requirement displayed in your Rewards section
• Check for a Claim button after completing the requirement
• Referral credit is intended for trading, not immediate cash withdrawal
• The original referral credit usually cannot be withdrawn
• Profits made from using the credit may become withdrawable
• Referral credits normally expire 30 days after issuance unless your account shows different terms

Kalshi referral code vs Kalshi promo code

People often search for Kalshi referral code, Kalshi promo code, Kalshi bonus code, and Kalshi bonus link as though they are the same thing.

They are not always identical.

A public or partner Kalshi promo code may have different bonus terms. A Kalshi referral link connects your signup to a specific referral promotion.

With the link in this post, the referral information is embedded in the URL and should attach automatically. You normally do not need to enter a separate public promo code when the reward already appears in your account.

If the offer does not appear, verify the referral before making your first deposit.

Kalshi sign-up bonus FAQ

Can an existing Kalshi account use this bonus?

It is mainly intended for new users. Kalshi says a referral code may sometimes be added within 72 hours of account creation, but only before the first deposit.

If you have already deposited or missed that window, the referral generally cannot be added retroactively.

Does the Kalshi referral bonus work outside the United States?

Kalshi’s current referral FAQ says referral incentives are available only to U.S. users at this time. International users are not currently eligible for referral rewards.

Can I withdraw the $20 bonus immediately?

No. Kalshi describes referral credits as trading credits rather than cash.

The original credit usually is not withdrawable. Profits generated by trading with the credit may become withdrawable.

Is depositing $10 the only requirement?

Do not rely on the deposit alone.

The promotion is advertised as deposit $10 and get $20, but Kalshi says the exact trading requirement is displayed in the user’s Rewards section and can vary by program.

Do I need to win the qualifying trade?

Follow the terms displayed in Rewards. The important requirement is usually the specified trading activity, but the account-specific terms should be treated as the final source.

Is this an official Kalshi Reddit post?

No. The referral program is operated by Kalshi, but this Reddit guide was written by a user and is not an official Kalshi announcement.

For a more detailed explanation, here is the full Kalshi referral code, promo code, and sign-up bonus FAQ.

Trading event contracts involves risk, and it is possible to lose money. Always check the current offer and requirements inside Kalshi before depositing or trading.

Since Kalshi says requirements can vary, comment with what your Rewards tab shows in July 2026, especially the bonus amount and required trading volume. I will update this thread if the terms change.

This is a screenshot from my own Kalshi account. I received an interest payment simply for keeping funds on the platform.

I checked the terms, and Kalshi currently offers 3.25% variable APY:

• Calculated daily and normally paid monthly
• Applies to available cash and collateral in open positions
• Requires a portfolio balance of at least $250
• Available only to eligible U.S. users

To be clear, that is 3.25% annually, not every month. Still, earning interest while waiting for prediction markets to settle is a surprisingly useful feature.

Official details: Kalshi APY documentation

New users can check the current offer through this Kalshi bonus link:
$20 Reddit exclusive bonus: deposit $10, get $20 [Official Promotion]

I also put together a complete Kalshi referral code, promo code and sign-up bonus guide.

This guy created a brand new account and won $1 MILLION with exactly one bet

After spending a total of $249,281, he accumulated 1.62 million "No" shares on "Will Argentina win on July 3?"

The game was 2-2 after 90 minutes, sending the "No" shares to $1.00 before it even went into extra time

He used that pump to sell his position for over $1.25 million, making roughly $1 million in profit and Argentina still ended up winning 3-2

CHECK HIS WALLET

I keep seeing “best prediction markets” and “best prediction market apps” lists, but most of them feel like affiliate pages ranking signup bonuses.

For sports, I think the better question is this:

>Which sports prediction market actually trades well when the game is live?

Sports prediction markets are different from election markets, macro markets, crypto price markets, or random “will X happen?” markets. Sports move fast. A lineup drops. A goal changes the price. A red card changes the whole match. Halftime adjustments matter. Injury news matters.

That is why I started comparing prediction market apps less like bonus sites and more like trading venues.

No picks here. No “this is the future of sports betting” speech. I am more interested in how this category works and where each platform fits.

Prediction markets are growing fast (funny to write this here lol)

Prediction markets are no longer a tiny niche. Pew Research Center reported that combined monthly global trading volume on Kalshi and Polymarket rose from less than $5 billion in September 2025 to about $24 billion in April 2026. Pew also found that sports made up 80 percent of Kalshi volume and 39 percent of Polymarket volume since July 2024.

That explains why sports prediction markets are getting so much attention. Sports are not a side category anymore. They are one of the main drivers.

Quick definition: what is a prediction market app?

A prediction market app lets users trade contracts tied to real-world outcomes.

The CFTC describes prediction markets as markets where contract prices reflect traders’ perceived probability of an event outcome. In many cases, order books show real-time bid and ask prices.

In sports, you might buy or sell shares on outcomes like:

• Team A wins
• Team B wins
• total goals go over or under a line
• a team reaches a certain lead
• a specific in-game window resolves a certain way

The price usually maps to implied probability.

A contract trading around 0.60 USDC implies roughly a 60 percent market probability, before fees, spread, and liquidity.

This is why prediction markets vs sportsbooks is an interesting comparison. A sportsbook gives you odds and builds in margin. A sports prediction exchange lets users trade against each other.

That model sounds better on paper.

In practice, liquidity decides everything.

https://preview.redd.it/aj8rlbkeu0ch1.png?width=1536&format=png&auto=webp&s=61965f4285573022a4eeea8b8a352dfeb3bada35

What I look for in a sports prediction market

Before calling any platform the best sports prediction market, I would check:

• liquidity at real size, not only whether a market exists
• bid and ask spread
• live execution during in-play sports
• ability to exit before settlement
• settlement speed
• market variety, including moneyline, props, short-window markets, and live markets
• fee structure
• resolution rules for postponed or canceled games
• jurisdiction and geofencing
• onboarding friction, especially if crypto rails are involved

The last point matters more than people admit. A prediction market app can look great, but if deposits are painful, spreads are wide, or the book is thin, the product is not that useful.

My rough read right now:

Kalshi

https://preview.redd.it/vm8fywbou0ch1.png?width=387&format=png&auto=webp&s=361593df13bf0a4fad058cb8670a1982787de138

Kalshi has one of the strongest mainstream brands in prediction market apps, especially in the US. It describes itself as a regulated exchange and prediction market where users trade event contracts.

People search for Kalshi sports betting because sports contracts feel closer to trading than traditional sportsbook bets.

The tradeoff is focus. Kalshi covers a lot more than sports. That helps if you want one app for broad event trading. It matters less if you only care about live sports markets.

Polymarket

https://preview.redd.it/1tywegjtu0ch1.png?width=705&format=png&auto=webp&s=88eff56042017a5305f8eefca92b8dc3efa3d5c3

Polymarket is the obvious crypto native name.

Polymarket describes prediction markets as platforms where users buy and sell shares in outcomes to forecast future events, including sports, politics, and entertainment.

If someone searches for Polymarket competitors, Polymarket alternative, or apps like Polymarket, they usually want broad event markets: politics, crypto, culture, macro, tech, and major sports events.

Polymarket has strong mindshare. For sports, I would still judge each market by depth, spread, and exit liquidity.

Novig and ProphetX

https://preview.redd.it/fqdnnpiyu0ch1.png?width=2986&format=png&auto=webp&s=67ffca621cbd3674fb487bcc2869c2d3901d271e

Novig and ProphetX sit closer to the sports betting exchange category.

Novig frames itself around peer-to-peer sports trading and compares the exchange model directly against sportsbooks.

If you are searching for sports betting exchanges, no-vig sports markets, or prediction markets vs sportsbooks, these are more direct comparisons than broad event platforms.

https://preview.redd.it/nsec64shu0ch1.png?width=2048&format=png&auto=webp&s=ba671c2bbedeaca98e08da34910baeeeaadc7442

Pred.app caught my attention because it seems to start with sports.

Pred describes itself as a peer-to-peer sports prediction exchange. Its site says it is built around 200ms execution, spreads under 2 percent, no house edge, and trading sports outcomes like assets.

The docs describe LONG and SHORT shares priced from 0 to 1 USDC. Winning shares redeem at 1 USDC. Losing shares redeem at 0. Users trade directly with other users and can sell shares before the outcome resolves.

That is a cleaner angle than “we added sports markets too.”

The Pred.app thesis seems to be:

• sports outcomes should trade through an order book
• prices should behave like probabilities
• users should be able to enter and exit positions
• live sports need faster execution
• settlement should be transparent
• USDC is a clean unit for pricing
• Base gives the product a crypto native settlement layer

That does not make Pred the best prediction market by default. It makes Pred one of the more interesting sports prediction market apps to watch.

Why is interesting

1. Live sports focus

A lot of prediction markets work fine before the event starts, then become much less useful once the game is live.

For sports, that is a problem.

The most interesting moments happen during the match. Lineups change pricing. A goal changes pricing. A red card changes pricing. The market has to keep working when the game becomes chaotic.

Pred seems built around that live layer rather than only pre-game markets.

1. 15-minute markets

Short-window sports markets make sense.

Instead of only asking “who wins the match?”, a 15-minute market gives traders a smaller window to price.

Pred’s public access announcement mentions 15-minute markets, 1UP and 2UP markets, and live moneyline markets around the 2026 FIFA World Cup launch.

This can be useful if you follow pace, substitutions, pressure, cards, fatigue, or game state.

The risk is obvious. Short-window markets need real liquidity. If the order book is thin, the concept is good but the trade is bad.

1. 1UP and 2UP markets

Markets like 1UP and 2UP are interesting because they resolve based on game state instead of waiting until full time.

That feels more like trading than a normal match winner bet.

You are not only asking who wins. You are pricing whether a team reaches a certain lead.

Again, this only works if the market stays tradable during live play.

1. USDC and Base

A prediction market on Base with USDC positions makes sense for crypto native users.

The upside:

• clean pricing
• stablecoin settlement
• on-chain settlement
• a more exchange-like feel

The downside:

• wallets add friction
• some users do not want to deal with USDC
• bridging can be annoying
• gas still exists
• jurisdiction matters
• crypto UX is still a barrier for normal sports users

So I do not see Base and USDC as automatically better. I see it as a good fit for a certain type of trader.

Where I am skeptical

Liquidity is still the main question

Pred.app has a good thesis, but the book has to prove it.

A fast exchange with thin liquidity is still hard to trade. I would want to see real spreads and real depth during live football markets, especially after goals, red cards, and late injury news.

The question is not “does the market exist?”

The question is:

>Can you get filled at a fair price when the match is moving?

Spreads matter more than slogans

“No house edge” sounds good. But spread, fees, gas, slippage, and poor fills still matter.

If the best bid is 0.56 and the best ask is 0.66, the displayed probability is not the full story.

Execution claims need live testing

Fast execution on a landing page is one thing. Fills during live play are another.

I would want to test:

• after a goal
• after a red card
• near halftime
• near resolution
• during high-volume matches
• during smaller matches

That is where sports prediction markets either work or fall apart.

Rules need to be clear

Sports have edge cases.

• What happens if a match is postponed?
• What happens if a match is abandoned?
• What happens if VAR changes a goal?
• What happens if a market depends on exact timing?
• What happens if a tournament rule changes the expected format?

A serious sports prediction market needs boring, clear resolution rules.

Jurisdiction is not a small detail

Prediction markets depend heavily on location.

Reuters has covered the legal fights around sports prediction markets in the US, including disputes involving Kalshi, Robinhood, Crypto.com, Polymarket, state gaming authorities, and the CFTC.

Pred’s public access announcement also says Pred does not operate in India, Singapore, the United States, or OFAC-sanctioned countries.

Do not assume every app works everywhere. Before using Pred.app, Kalshi, Polymarket, Novig, ProphetX, or any other prediction market app, check your own location and the platform’s current rules.

Pread App vs Polymarket

I would not frame this as “Pred is better than Polymarket.”

That is too broad.

Polymarket is broader. Pred is more sports focused.

Polymarket is stronger if you want a wide range of prediction markets: politics, crypto, culture, macro, tech, and major global events.

Pred is more relevant if you care about sports prediction markets, live trading, football prediction markets, short-window markets, and order book execution.

So the real question is not:

Pred.app vs Polymarket overall.

The better question is:

>If you only care about sports, does a sports native prediction exchange give you a better trading experience than a general prediction market app?

That is worth testing.

vs Kalshi

Kalshi has the stronger mainstream and regulated-market brand, especially for US users.

Pred has a different angle. It is more crypto native, more sports focused, and built around Base and USDC.

My rough read:

• Kalshi is stronger for broad event trading and mainstream prediction market awareness
• Pred is more interesting for live sports trading structure
• Kalshi has more recognition
• Pred needs to prove liquidity and execution quality

I would not call either one automatically better. They solve different problems.

vs Novig and ProphetX

This is probably the more useful comparison.

Novig and ProphetX are closer to the sports exchange and sportsbook alternative category. If someone is searching for sports betting exchanges or sports prediction apps, they will probably compare these platforms directly.

Pred’s differentiator is the on-chain Base and USDC angle, plus the sports-first prediction exchange structure.

But the same rule applies:

The best sports prediction market is the one with the best tradable liquidity after fees, spread, and slippage.

How I would test before forming a real opinion

I would not judge Pred.app from screenshots or marketing claims.

I would test it like this:

1. Pick one high-interest football match.
2. Check the main market before kickoff.
3. Compare implied probability with sportsbook betting odds after removing vig.
4. Check the bid and ask spread.
5. Place a small entry.
6. Try to exit before kickoff.
7. Watch the book during the first 15 minutes.
8. Watch what happens after a goal, red card, or major momentum shift.
9. Track actual fill price, not the displayed price.
10. Check settlement time.
11. Add up every cost: spread, fees, gas, bridge costs, and withdrawal friction.
12. Repeat during a bigger match with more volume.

That test tells you more than most “best prediction markets” lists.

My current take

I think sports prediction markets are splitting into two groups.

1. General prediction market apps that include sports

Kalshi and Polymarket fit here. They cover sports, but sports are part of a wider event market product.

1. Sports-first prediction exchanges

Novig, ProphetX, and Pred.app fit closer to this group.

Pred.app is interesting because it focuses on the sports trading problem: live markets, order book pricing, USDC, Base, exit before settlement, and shorter in-game markets.

That is a good thesis.

The proof is still liquidity.

If Pred keeps spreads tight, fills fast, exits available, and settlement clean during live football markets, it becomes a serious name in sports prediction markets.

If the book is thin, it stays a good idea with limited use.

So I would not call Pred.app the best prediction market yet. I would call it one of the more interesting sports prediction market apps to watch if you care about live sports trading rather than pre-game betting.

Question for people here

>Has anyone actually traded Pred.app live?

I am especially curious about:

• real fills vs displayed probability
• spreads during live play
• whether 15-minute markets stay liquid
• exit liquidity after goals or red cards
• settlement speed
• how it compares with Kalshi, Polymarket, Novig, or ProphetX in practice

Would be useful to hear from people who have traded it during football, soccer, or World Cup prediction markets.

I was trying to understand whether prediction markets are actually becoming mainstream or if it’s just another fintech/crypto hype cycle.

The most interesting data point I found was not trading volume. It was app activity.

Business Insider cited Apptopia data showing that from June 1-15, Kalshi and Polymarket together accounted for nearly 75% of betting-app activity during the World Cup period.

That surprised me because traditional sportsbooks were not exactly weak either. DraftKings was reportedly up 117% year over year in daily active users, FanDuel was up 48%, and BetMGM was up 42%.

But prediction markets still had a bigger recent user jump.

Pew Research also found that sports now make up around 80% of Kalshi’s total trading volume since July 2024. So this is not just politics/election markets anymore. Sports seem to be the main thing pulling normal users into prediction markets.

Fortune also reported that Kalshi’s World Cup trading volume reached $2.9B only 11 days into the tournament, already above its March Madness volume of $2.51B and Champions League volume of $685M.

So the actual story seems to be:

Sportsbooks are still huge, but prediction markets are starting to take real attention during major sports events.

I also wrote a separate Reddit FAQ explaining the current Kalshi bonus setup and how to actually trigger it step by step:

Kalshi Reddit FAQ: promo code, referral code, and how to get the bonus

The bonus setup I found is basically:

Deposit $10, get $20.

Here’s the direct Kalshi bonus link:

Kalshi bonus link [Official Reddit Promotion]

Obviously this is still trading/risk, not free money. You can lose trades. But as a way to test how event contracts feel compared with a normal sportsbook, the bonus makes the experiment cheaper.

Curious what people think: are prediction markets actually a better format for sports, or is this just sports betting with different branding?

His potenstial payout was $1M.

However, he had not that lucky day:

https://preview.redd.it/scargft9erah1.png?width=630&format=png&auto=webp&s=1b3612ac54e1f3c05e890a9ce33f2751f5ca793d

Link to this market on Kalshi.

$20 Reddit exclusive bonus: deposit $10, get $20 [Official Promotion]

And here's a full guide on how to get a sign up bonus on Kalshi.

Original investigation is from Bubblemaps. I’m posting the steps/screenshots because this is one of the craziest Polymarket patterns I’ve seen.

1/ Bubblemaps started with a bubble map of the market tied to the first US strike on Iran on Feb. 28.

Most clusters had already been spotted by people on X.

Except the biggest one.

2/ They looked into that cluster and found 4 connected accounts.

https://preview.redd.it/odc55xikocah1.png?width=1200&format=png&auto=webp&s=4339d3a05e8cdcaab6a42fae3d7da3be5697e7df

Those accounts were created just days before the first US strikes, placed low-odds bets, and made around $400k each.

3/ Then Bubblemaps used timing + bet size analysis and linked those 4 accounts to 5 more.

https://preview.redd.it/oh63jwbmocah1.png?width=1200&format=png&auto=webp&s=f02a9cf3279615e279b818b0a6b75b43cfa32697

So 9 accounts total.

4/ The numbers are insane:

https://preview.redd.it/qqjxzq1oocah1.png?width=1524&format=png&auto=webp&s=3a4bd25bc3e882d457cee0ddc72c4d3cc0c351fb

9 connected accounts
$2.4M+ profit
98% win rate
80+ bets
Almost exclusively US military markets

5/ The accounts allegedly placed major bets before some of the biggest Iran-related events:

https://preview.redd.it/8babdljqocah1.png?width=1200&format=png&auto=webp&s=c3565395efd9a1d849307d4a4c15f4dabd6fb62e

The Feb. 28 US strike
Markets around the removal of Iran’s supreme leader
The US-Iran ceasefire agreement

6/ They didn’t just make one lucky call either.

https://preview.redd.it/ssq7gq4tocah1.png?width=1200&format=png&auto=webp&s=b371667ffdf7a117e977ac5bf00a278d040e3bf1

They reportedly bet across multiple dates, often with strong conviction, and kept showing up near the top of PnL leaderboards.

7/ Bubblemaps also says the accounts were connected through funding patterns, timing, and money routing through CEXs into shared wallets / possible services.

https://preview.redd.it/i9r1n7ruocah1.png?width=800&format=png&auto=webp&s=c0f70a6b07a31449881e8a40bada5b28926c3fb3

So this was not just “9 random traders had the same idea.”

8/ The weirdest part: some small losing bets were placed earlier, possibly to make the activity look less obvious.

https://preview.redd.it/wa1gl1vvocah1.png?width=1200&format=png&auto=webp&s=46efe7f2c985f43681b4c2fbce80b23c142eb033

That’s speculation, but the pattern is still crazy.

To be fair: Bubblemaps says they have no evidence linking these accounts to any specific person, government, or entity.

But 9 connected accounts making $2.4M on US military markets with a 98% win rate is not normal.

CHECK THEIR WALLETS:

1. whopperlover +$472k
2. fuego66 +$339k
3. 6514861 +$502k
4. flowjj +$308k
5. gaba4 +$382k
6. propescia +$79k
7. trevors4 +$252k
8. alealeg +$67k
9. Merlin11111 +$117k

Link to the news: https://www.cbsnews.com/news/betting-on-iran-war-insider-trading-concerns-prediction-markets-60-minutes/?ftag=CNM-00-10aab7d&linkId=943877813

I’ve been seeing more Kalshi ads lately, and I also noticed Reddit users asking about Kalshi referral codes, promo codes, and how the Kalshi sign up bonus works. Since the information is scattered across Reddit comments, ads, and promo pages, I wanted to make one clear post for anyone searching before signing up.

Fair disclosure: this post is not an official Kalshi announcement, and I do not represent Kalshi. The promotion itself is an official Kalshi promotion, but this Reddit post is written by me to explain it clearly. The link below is a Kalshi bonus link, and I may receive a referral bonus if someone signs up through it and completes the required steps.

Current offer: deposit $10, get $20.

Check the offer here: Kalshi bonus link

How to get the Kalshi $20 sign up bonus

The current Kalshi promo attached to this link is simple: deposit $10 and get $20. Since promo terms can change, always confirm the exact offer during sign-up or inside Kalshi before depositing.

In general, the process works like this:

1. Open the Kalshi promo link Start through the official promotion link so the offer can attach to your account: Kalshi promo link
2. Create a Kalshi account Complete the normal sign-up process.
3. Complete identity verification Kalshi requires identity verification before you can fully use the platform.
4. Confirm the bonus terms Look for the offer details during sign-up or inside the Rewards / promo section. For this Kalshi sign up bonus, the offer is: deposit $10, get $20.
5. Deposit $10 or more Deposit the required amount to qualify for the bonus.
6. Check whether any trade is required Some Kalshi promos may require placing a trade, trading a certain amount, or completing another step. If the app shows any extra requirement, follow the exact terms shown there.
7. Wait for the bonus to apply Once the required steps are completed, the bonus should apply according to Kalshi’s promo terms.
8. Check account activity or rewards Look in your Kalshi account for the bonus, credits, or reward status.

Kalshi referral code vs Kalshi promo code

People search for both Kalshi referral code and Kalshi promo code, but they are not always exactly the same.

A Kalshi referral code usually means a personal invite code or bonus link connected to Kalshi’s official referral promotion.

A Kalshi promo code may refer to a public campaign, partner code, ad promotion, or sign up bonus offer.

Either way, the important part is to confirm the current bonus amount and requirements directly inside Kalshi before depositing or trading.

Things to check before using a Kalshi promo

Before using any Kalshi promo code, bonus link, or referral offer, I’d check:

• Is the offer still deposit $10, get $20?
• Is a trade required after depositing?
• Is there a minimum trade amount?
• Does the bonus expire?
• Are the credits withdrawable or trading-only?
• Is Kalshi available in your location?
• Are there deposit, withdrawal, or trading fees?
• Do you understand the risk of trading event contracts?

Why I made this post

I saw people on Reddit asking about Kalshi referral code, Kalshi promo code, Kalshi sign up bonus, Kalshi promo, and Kalshi ads, so I wanted to make the process easier to understand in one place.

Again, the promotion itself is official, but this Reddit post is just a transparent explanation from a user.

You can check the current offer here:
Kalshi sign up bonus link

Use it only if you were already planning to try Kalshi and the deposit $10, get $20 offer makes sense for you. Before depositing, confirm the exact terms inside Kalshi.

A Spanish La Liga club (likely Osasuna) facing potential relegation placed a bet against itself on Kalshi, hedging the financial hit of dropping down a tier.

They survived on the final day. Susquehanna was on the other side of that bet and pocketed over $1M.

https://preview.redd.it/zk0pnbtra49h1.png?width=680&format=png&auto=webp&s=f84df90dfea0bd7f8a77d26e5897741ee7dfac5e

$20 Reddit exclusive bonus: deposit $10, get $20 [Official Promotion]

Briefly:

> joined kalshi only 7 days ago
> already pushed over $2.8m in volume
> made roughly $350k
> sitting at an insane 95% win rate

most of his activity is around football prediction markets and the numbers are honestly crazy

I used to think only polymarket had these high performing bot and data driven traders but it looks like kalshi has some monsters too.

$20 Reddit exclusive bonus: deposit $10, get $20 [Official Promotion]