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| Market | Platform | Price |
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![]() | Poly | 51% |
Trader mode: Actionable analysis for identifying opportunities and edge
This market will resolve to "Up" if the close price is greater than or equal to the open price for the BTC/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 BTC/USDT pair (https://www.binance.com/en/trade/BTC_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 t
Prediction markets are pricing in a low probability of Bitcoin rising during the specific 15-minute window on January 15 from 3:45 PM to 4:00 PM ET. The "Up" share is trading at approximately 5¢, implying the market assigns only a 5% chance that Bitcoin's price will be higher at 4:00 PM than at 3:45 PM. Conversely, this indicates a 95% chance the market expects the price to be flat or down. This extreme skew suggests traders see a near-certainty of no positive move in that precise interval.
Two primary factors explain the heavily weighted odds. First, the market's ultrashort-term nature makes predicting directional movement over 15 minutes exceptionally difficult, akin to noise trading. Markets often price such binary events close to 50/50 unless a specific catalyst is timed perfectly. The current 5/95 split is unusually skewed, indicating a second factor: the specific timing may align with known market microstructure. This period immediately follows the daily 3:00 PM ET futures closing bell on traditional markets, a time often associated with volatility and rebalancing flows that can temporarily pressure crypto prices. Traders may be betting that any post-close volatility has dissipated by 3:45 PM, leading to a stagnant or downward drift into the 4:00 PM hour.
Given the market's imminent resolution, the odds are effectively locked. However, in the final minutes before the 3:45 PM snapshot, a sudden, major news event (e.g., a regulatory announcement or a large, unexpected transaction) could theoretically cause a last-minute shift in trading. Since the measurement window is only 15 minutes, any such catalyst would need to occur and immediately move the market within that narrow timeframe. The overwhelming market consensus, as shown by the 95% probability for "Down," reflects a view that such an event is highly improbable, and that price action will follow typical low-volatility, post-futures-close patterns.
AI-generated analysis based on market data. Not financial advice.
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This prediction market focuses on the short-term price movement of Bitcoin (BTC) against Tether (USDT) during a specific one-hour trading window on January 16, 2025, at 9:00 AM Eastern Time. It resolves based on a simple binary outcome: whether the closing price of the BTC/USDT hourly candle on the Binance exchange is greater than or equal to its opening price. This type of market exemplifies the growing intersection of cryptocurrency trading and prediction markets, allowing participants to speculate on highly granular, time-bound price action. The specific use of Binance as the resolution source is critical, as it is the world's largest cryptocurrency exchange by trading volume, making its price data a widely accepted benchmark. Interest in such markets stems from traders and analysts looking to hedge positions, test short-term market sentiment, or engage in speculative play without directly holding the underlying asset. The chosen date and time may coincide with significant macroeconomic events, regulatory announcements, or technical analysis patterns that traders believe could influence Bitcoin's price in that precise window.
Prediction markets for cryptocurrency prices emerged alongside the asset class's volatility. Platforms like Augur and Polymarket have hosted thousands of markets on Bitcoin's price direction over various timeframes. The concept of resolving markets based on a specific exchange's hourly candle is a modern evolution, leveraging transparent, on-chain or API-accessible data for trustless settlement. Historically, Bitcoin has shown significant intraday volatility. For example, on January 10, 2024, following the SEC's approval of spot Bitcoin ETFs, BTC price swung over 7% within a single hour as news was digested and traders reacted. The practice of using Binance as a pricing oracle is well-established, dating back to its rise to dominance around 2018. Its BTC/USDT pair is often the first to reflect global liquidity shifts. The date of January 16 may also be viewed in the context of historical January performance, often called the 'January Effect,' where Bitcoin has seen positive returns in many past years, potentially influencing broader monthly sentiment.
This specific market matters as a microcosm of the broader financialization of cryptocurrency. It represents the demand for instruments that allow speculation on ever-smaller units of time and risk, similar to binary options in traditional finance but with blockchain-based settlement. The outcome reflects the instantaneous equilibrium of global buy and sell orders at a precise moment, influenced by algorithmic trading, news flow, and liquidity conditions. For participants, it offers a pure play on market timing without the need for custody, while for observers, the trading activity and odds can serve as a high-frequency sentiment indicator. More broadly, the reliability and adoption of such markets test the infrastructure of decentralized finance, including the robustness of price oracles and the finality of smart contract resolutions. Widespread participation could signal growing sophistication in crypto derivatives and prediction-based hedging strategies.
As of early January 2025, Bitcoin markets are navigating a post-ETF approval landscape. The launch of U.S. spot Bitcoin ETFs in January 2024 brought institutional flows and new volatility dynamics. Price action remains sensitive to macroeconomic data influencing Federal Reserve policy expectations, such as inflation reports and employment figures. Technical analysts are closely watching key support and resistance levels established in Q4 2024. The specific hour of 9:00 AM ET on January 16 will follow the release of the U.S. Consumer Price Index (CPI) for December 2024 on January 15, a major volatility catalyst. Market sentiment will likely be dominated by the interpretation of that inflation data and its implications for interest rates.
The open price (O) is the first traded price of the BTC/USDT pair exactly at 9:00:00 AM ET. The close price (C) is the last traded price of that pair before 9:59:59.999 AM ET. These are the values displayed at the top of the trading chart on Binance when the '1H' timeframe is selected for the candle beginning at 9:00 AM ET.
Prediction market platforms using this data have contingency rules, typically outlined in their market specifications. Generally, they may use a backup pricing oracle, delay resolution until reliable data is available, or use a volume-weighted average price from a predefined window. The specific fallback mechanism should be verified in the market's official description.
Unlikely in a direct, material way. The prediction market is a separate venue for trading shares of a contract. For it to affect the underlying BTC price, a participant would need to execute a very large buy or sell order on Binance itself to move the spot price and settle their prediction market position profitably, which is generally impractical due to cost and slippage.
Binance's most liquid Bitcoin trading pair is BTC/USDT. Tether (USDT) is a stablecoin pegged to the U.S. dollar and is the primary medium of exchange and liquidity pool in the global crypto trading ecosystem, especially outside of regulated U.S. exchanges. Its use ensures the price reflects the broadest market activity.
Traders might use technical analysis of lower timeframes (like 5 or 15-minute charts) leading into the hour, monitor order book depth on Binance, track social media sentiment, or hedge an existing spot or futures position on another exchange. Some may also arbitrage small discrepancies between the prediction market price and their own probability assessment.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
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