🚀 Bitcoin and Ethereum Options Set to Expire with Significant Nominal Value
#Bitcoin #Ethereum #OptionsExpiration #MacroAnalysis #NominalValue #PutCallRatio #MaxPainPoint #BTC #ETH
According to Odaily, macro analyst Adam from Greeks.Live shared on the X platform that 37,000 Bitcoin options are set to expire today. The put/call ratio stands at 1.05, with the maximum pain point at $108,000, and a nominal value reaching $4.3 billion. Additionally, 240,000 Ethereum options will also expire, with a put/call ratio of 1.11, a maximum pain point at $2,600, and a nominal value of approximately $710 million.#Bitcoin #Ethereum #OptionsExpiration #MacroAnalysis #NominalValue #PutCallRatio #MaxPainPoint #BTC #ETH
🚀 Bitcoin's Historical Patterns Suggest Potential Price Decline
#Bitcoin #SMA #cryptocurrency #marketcorrection #historicalpatterns #priceprediction #bitcoinprice #cryptomarket #macroanalysis #bitcoinhistory #BTC
Bitcoin's historical 100-week simple moving average (SMA) has consistently served as a significant macro support level, according to PANews. Since 2015, whenever Bitcoin has fallen below the 100-week SMA, it has typically struggled to recover quickly and has often dropped further to the 200-week SMA. This process is usually accompanied by a substantial correction of 45% to 58%, lasting approximately 30 to 50 days.
Past cycles have shown similar patterns:
In December 2014, after falling below the 100-week SMA, Bitcoin's price dropped by 55%, taking about 35 days to reach the 200-week SMA.
In November 2018, following a weekly close below the 100-week SMA, the price declined by 45% over approximately 28 days.
In March 2020, during the pandemic-induced crash, Bitcoin fell from the 100-week to the 200-week SMA within just one week, experiencing a 47% correction.
In May 2022, after breaching the 100-week SMA, Bitcoin's price decreased by 58%, taking around 49 days.
As of last week, Bitcoin has once again closed below the 100-week SMA. If historical patterns repeat, a correction of around 50% could occur, with the target price range expected to be between $56,000 and $50,000, potentially happening between March and April.#Bitcoin #SMA #cryptocurrency #marketcorrection #historicalpatterns #priceprediction #bitcoinprice #cryptomarket #macroanalysis #bitcoinhistory #BTC
🚀 Bitcoin's Appeal May Strengthen Amid Rising Private Credit Stress
#Bitcoin #PrivateCredit #DefaultRates #MacroAnalysis #MoneyPrinting #MorganStanley #FitchRatings #USeconomy #NS3AI #BTC
Macro analysts suggest that increasing stress in the private credit sector could enhance Bitcoin's attractiveness. According to NS3.AI, Morgan Stanley has projected that defaults in direct lending could rise to 8%. Additionally, Fitch Ratings has reported a 5.8% default rate in U.S. private credit. Luke Gromen has expressed the opinion that potential money printing within the next three to six months could be advantageous for Bitcoin.#Bitcoin #PrivateCredit #DefaultRates #MacroAnalysis #MoneyPrinting #MorganStanley #FitchRatings #USeconomy #NS3AI #BTC
🚀 Prediction Markets Emerge as Key Tool Amid Iran Conflict
#PredictionMarkets #IranConflict #Crypto #Bitcoin #Geopolitics #Trading #Polymarket #Kalshi #MacroAnalysis #Finance #BTC
Sygnum Bank's Chief Investment Officer, Fabian Dori, has highlighted the evolving role of prediction markets during the escalating Iran conflict. According to Odaily, platforms such as Polymarket and Kalshi are rapidly adjusting the odds on whether the U.S. will escalate the conflict, showing a direct correlation with Bitcoin price movements. These markets use real funds to price 'clear event outcomes,' offering differentiated signals for the crypto market, which is notably influenced by binary events like regulatory changes, geopolitical tensions, and protocol upgrades.
Data indicates that prediction markets recorded approximately 191 million trades in March, marking a 2838% year-on-year increase, with the nominal monthly trading volume rising to about $23.9 billion. Some professional trading teams have integrated prediction markets into their macro analysis frameworks, using them alongside indicators such as funding rates, options structures, and capital flows to develop trading strategies ahead of events.#PredictionMarkets #IranConflict #Crypto #Bitcoin #Geopolitics #Trading #Polymarket #Kalshi #MacroAnalysis #Finance #BTC