TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 3:00 PM EST
Polymarket
This market will resolve to "Up" if the close price is greater than or equal to the open price for the BNB/USDT 1 hour candle that begins on the time and date specified in the title. Otherwise, this market will resolve to "Down". The resolution source for this market is information from Binance, specifically the BNB/USDT pair (https://www.binance.com/en/trade/BNB_USDT). The close « C » and open « O » displayed at the top of the graph for the relevant "1H" candle will be used once the data for that candle is finalized. Please note that this market is about the price according to Binance BNB/USDT, not according to other exchanges or trading pairs.
This market will resolve to "Up" if the close price is greater than or equal to the open price for the BNB/USDT 1 hour candle that begins on the time and date specified in the title. Otherwise, this market will resolve to "Down". The resolution source for this market is information from Binance, specifically the BNB/USDT pair (https://www.binance.com/en/trade/BNB_USDT). The close « C » and open « O » displayed at the top of the graph for the relevant "1H" candle will be used once the data for that candle is finalized. Please note that this market is about the price according to Binance BNB/USDT, not according to other exchanges or trading pairs.
Prediction market odds on this market reflect traders' collective expectations about BNB's direction, which often diverge from passive spot price observations. While spot price alone shows current value, prediction markets incorporate forward-looking sentiment, technical analysis, and macroeconomic factors that traders believe will drive movement by the deadline. Prediction odds tend to be more dynamic than static price data because they're updated continuously by participants with real capital at stake. Comparing this market's odds to analyst forecasts or on-chain sentiment can reveal whether traders are pricing in bullish or bearish catalysts that spot price alone may not immediately reflect.
On Polymarket, this market is priced through an automated market maker (AMM) model where traders buy and sell shares representing each outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome share reflects the probability implied by the ratio of liquidity in the up and down pools. As traders place orders, the price adjusts automatically to balance supply and demand. Higher trading volume typically narrows the spread between bid and ask prices, making the market more efficient. Traders profit by buying undervalued outcomes and selling overvalued ones, which naturally drives prices toward their true probability.
This market resolves around Jul 9, 2026, at which point the outcome is confirmed based on verifiable public data about BNB's price movement. The result is determined by comparing BNB's price at the deadline against its price at market creation, establishing whether the net movement was upward or downward. Once the event is verifiable from credible public reporting, the winning outcome is locked in and traders receive payouts proportional to their positions. All traders have equal access to the same resolution information, ensuring transparency and fairness across the market.
Several catalysts could shift odds in this market before Jul 9, 2026. Major announcements from Binance, regulatory developments affecting BNB or the broader crypto sector, and Bitcoin or Ethereum price movements often drive BNB sentiment. Macroeconomic data, Federal Reserve communications, and shifts in risk appetite can also influence crypto directional bets. Technical breakouts or breakdowns on the daily chart may trigger algorithmic trading and cascade into larger moves. On-chain metrics like exchange inflows or whale accumulation patterns sometimes signal institutional positioning. Traders monitor these signals closely and adjust their positions, causing odds to fluctuate as new information emerges.