TOTAL VOLUME:

$150.1b

24H VOL:

$141,643,948

24H TRANSACTIONS:

2,859,322,643

OPEN INTEREST:

$1,730,654,154

483,803

Markets across

35,879

events

MATCHED EVENTS:

3,350

PLATFORM COVERAGE:

5

Polymarket:

38%

VS.

Kalshi:

62%

BETA
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Breaking
LIVE · BREAKING

Breaking

Markets moving right now — live probability shifts across all platforms.

Biggest move · last hour

Guangzhou Open: Dayana Yastremska vs Katie Volynets

+98 pts

Breaking
Highest temperature in Seoul (Incheon) on October 27?−74 pts
K27 vs. B8+30 pts

Updated 4m ago

1

Guangzhou Open: Dayana Yastremska vs Katie Volynets

Guangzhou Open: Dayana Yastremska vs Katie Volynets

Guangzhou Open: Dayana Yastremska vs Katie Volynets

Ends in 6d 16h
+98 pts
polymarket

Trade on Polymarket

2

Will the highest temperature in Tel Aviv be 29°C on October 27?

Will the highest temperature in Tel Aviv be 29°C on October 27?

Will the highest temperature in Tel Aviv be 29°C on October 27?

Highest temperature in Tel Aviv on October 27?

Ends in 2h 38m

3

Will the biggest earthquake on October 26, 2026 be 5.5 to 5.6?

Will the biggest earthquake on October 26, 2026 be 5.5 to 5.6?

Will the biggest earthquake on October 26, 2026 be 5.5 to 5.6?

What will the biggest earthquake be on October 26, 2026?

Ends in 8h 38m

4

Will the highest temperature in Seoul (Incheon) be 17°C on October 27?

Will the highest temperature in Seoul (Incheon) be 17°C on October 27?

Will the highest temperature in Seoul (Incheon) be 17°C on October 27?

Highest temperature in Seoul (Incheon) on October 27?

Ends in 2h 38m
−74 pts

5

Will the lowest temperature in Hong Kong be 25°C on October 27?

Will the lowest temperature in Hong Kong be 25°C on October 27?

Will the lowest temperature in Hong Kong be 25°C on October 27?

Lowest temperature in Hong Kong on October 27?

Ends in 2h 38m

6

Will the highest temperature in Jeddah be 38°C on October 27?

Will the highest temperature in Jeddah be 38°C on October 27?

Will the highest temperature in Jeddah be 38°C on October 27?

Highest temperature in Jeddah on October 27?

Ends in 2h 38m

7

India wins

India wins

India wins

New Zealand vs India

Ends in 1h 40m

8

B8 wins by over 1.5 maps

B8 wins by over 1.5 maps

B8 wins by over 1.5 maps

K27 vs. B8: Spread

Ends in 2h 38m

9

Borneo Samarinda wins

Borneo Samarinda wins

Borneo Samarinda wins

PSS Sleman vs Borneo Samarinda

Ends in 2h 09m

10

Sri Lanka wins

Sri Lanka wins

Sri Lanka wins

Pakistan vs Sri Lanka

Ends in 6h 43m

11

Will over 2.5 maps be played?

Will over 2.5 maps be played?

Will over 2.5 maps be played?

K27 vs. B8: Total Maps

Ends in 2h 38m

12

Will the highest temperature in Houston be between 76-77°F on October 27?

Will the highest temperature in Houston be between 76-77°F on October 27?

Will the highest temperature in Houston be between 76-77°F on October 27?

Highest temperature in Houston on October 27?

Ends in 2h 38m

13

K27 wins map 2

K27 wins map 2

K27 wins map 2

K27 vs. B8: Map 2 Winner

Ends in 1h 40m

14

Counter-Strike: B8 vs K27 - Map 1 Winner

Counter-Strike: B8 vs K27 - Map 1 Winner

Counter-Strike: B8 vs K27 - Map 1 Winner

Counter-Strike: B8 vs K27 (BO3) - Tesla Cup Group A

Ends in 2h 38m

15

Will the highest temperature in Istanbul be 15°C on October 27?

Will the highest temperature in Istanbul be 15°C on October 27?

Will the highest temperature in Istanbul be 15°C on October 27?

Highest temperature in Istanbul on October 27?

Ends in 2h 38m

16

Will the highest temperature in Wuhan be 21°C on October 27?

Will the highest temperature in Wuhan be 21°C on October 27?

Will the highest temperature in Wuhan be 21°C on October 27?

Highest temperature in Wuhan on October 27?

Ends in 2h 38m

17

Borneo Samarinda wins by more than 1.5 goals?

Borneo Samarinda wins by more than 1.5 goals?

Borneo Samarinda wins by more than 1.5 goals?

PSS Sleman vs Borneo Samarinda: Spread

Ends in 3h 07m

18

B8 wins

B8 wins

B8 wins

K27 vs. B8

Ends in 2h 38m

19

Will the highest temperature in New York City be between 62-63°F on October 27?

Will the highest temperature in New York City be between 62-63°F on October 27?

Will the highest temperature in New York City be between 62-63°F on October 27?

Highest temperature in NYC on October 27?

Ends in 2h 38m

20

Will the highest temperature in Busan be 19°C on October 27?

Will the highest temperature in Busan be 19°C on October 27?

Will the highest temperature in Busan be 19°C on October 27?

Highest temperature in Busan on October 27?

Ends in 2h 38m

21

Will the highest temperature in Chengdu be 19°C on October 27?

Will the highest temperature in Chengdu be 19°C on October 27?

Will the highest temperature in Chengdu be 19°C on October 27?

Highest temperature in Chengdu on October 27?

Ends in 2h 38m

22

Will the lowest temperature in Los Angeles be between 62-63°F on October 27?

Will the lowest temperature in Los Angeles be between 62-63°F on October 27?

Will the lowest temperature in Los Angeles be between 62-63°F on October 27?

Lowest temperature in Los Angeles on October 27?

Ends in 2h 38m

23

Will ZEC trimmed mean be above $1820.00 by 11:59 PM ET on Oct 31, 2026?

Will ZEC trimmed mean be above $1820.00 by 11:59 PM ET on Oct 31, 2026?

Will ZEC trimmed mean be above $1820.00 by 11:59 PM ET on Oct 31, 2026?

How high will ZEC get in October?

Ends in 4d 18h

24

Will the highest temperature in Warsaw be 13°C on October 27?

Will the highest temperature in Warsaw be 13°C on October 27?

Will the highest temperature in Warsaw be 13°C on October 27?

Highest temperature in Warsaw on October 27?

Ends in 2h 38m

25

Will the highest temperature in Manila be 33°C on October 27?

Will the highest temperature in Manila be 33°C on October 27?

Will the highest temperature in Manila be 33°C on October 27?

Highest temperature in Manila on October 27?

Ends in 2h 38m

How does PredictionHero's Breaking feed work?

Methodology & FAQ

Every 5 minutes, PredictionHero scans every market across all five platforms and asks: "what just moved?" A market qualifies as Breaking when three things are true simultaneously — the probability has shifted dramatically in the last 24 hours, trading volume has surged above its recent baseline, and the market resolves within 7 days. All three have to be present. A market that moved 60 points six months from resolution doesn't qualify. A market resolving tomorrow that barely moved doesn't qualify either. Breaking is specifically about information arriving right now on something that matters soon.

It's the raw size of the probability shift — measured in percentage points, not as a percentage of the previous price. So "+74 pts" means the market's implied probability moved 74 percentage points in the last 24 hours — for example, from 10% to 84%. This matters because percentage-based framing is misleading: a market moving from 2% to 4% is technically a 100% price increase but only a 2-point move, which is not particularly significant. Showing percentage points gives you the honest measure of how much collective belief actually changed.

Deliberately. Breaking is designed to be discovery-friendly — a new market with a 70-point probability shift belongs in the feed even if it only has $2,000 in total volume, because the signal is real regardless of market size. Large established markets with modest moves will not automatically displace a small market where something genuinely dramatic just happened. There is a very light penalty applied to thin markets to reduce noise, but it is intentionally small — it can never push a genuine breaking signal out of the feed.

Because a probability shift only has urgency when resolution is imminent. If a market moves 50 points but resolves in eight months, there is plenty of time for the price to move again — possibly back. The information may be interesting but it is not breaking in any meaningful sense. The 7-day window is the threshold where a price move starts to feel urgent: if you are going to act on it, you need to know about it now. Markets with longer time horizons are better served by the Trending feed, which rewards sustained signal over time rather than immediacy.

Unlike Trending — which adjusts for platform size by comparing each market only against others on the same platform in the same category — Breaking uses a single global pool. A 70-point probability shift is a 70-point probability shift whether it happens on Polymarket or Kalshi or Opinion. The signal is absolute and speaks for itself. This means a small market on a smaller platform can legitimately outrank a large Polymarket market if its price moved more dramatically — and that is the correct result. The same real-world question can appear twice in the Breaking feed if it qualifies independently on two different platforms, each showing its own platform logo and its own probability number, which will sometimes differ.

They measure fundamentally different things. Trending asks: which markets have the most sustained, accelerating activity across volume, capital, and price movement? Breaking asks: which markets just received new information? A large election market that has been steadily active for weeks is Trending. A small financial market that moved 60 points in the last 24 hours because of an unexpected announcement is Breaking. The same market can appear in both feeds simultaneously — if it qualifies, it will show up in both places with the appropriate badge, and you will see it on whichever page you are on.

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