Home / Markets / Cryptocurrency / Bitcoin appears to crash 87% in a flash on Binance’s US venue Bitcoin appears to crash 87% in a flash on Binance’s US venue Premium Volume on the exchange in that minute was 592.8 Bitcoins, which are worth just shy of $40 million at current prevailing prices. (REUTERS) 1 min read . Updated: 21 Oct 2021, 09:54 PM IST Bloomberg The price of Bitcoin appeared to rapidly — and only temporarily — plunge about 87% on Binance’s U.S. exchange Thursday morning, sinking to as low as $8,200 from around $65,000. The price did nothing like that on other venues, and on Binance the level almost immediately snapped back to where it had been. The plunge occurred at 7:34 a.m. New York time, according to Binance’s website. Volume on the exchange in that minute was 592.8 Bitcoins, which are worth just shy of $40 million at current prevailing prices. Mistakes like this happen throughout finance when, for instance, traders mess up details of their intended trades, entering the wrong price or order size. An erroneously large trade, as one example, can overwhelm an exchange’s order book, leading to a quick and massive decline. The entire U.S. stock market famously flash crashed back in May 2010, though equities have mostly avoided trouble since that era. This is the latest in a string of recent high-profile trading problems in crypto. Synthetify, a new decentralized exchange, was forced to shut down for a while earlier this month shortly after its debut because of bad data provided by the Pyth Network, a price feed backed by some of the world’s most well-known trading and exchange firms. Pyth malfunctioned another time in September, erroneously making it appear that Bitcoin had crashed 90%.
— “Carried out by a network of government offices, Washington lobbyists, Hungarian diaspora groups, educational institutions and government-funded foundations, the effort’s main impact has been to bolster Mr. Orban’s image as a conservative leader on the world stage — and to counter his reputation as an authoritarian nationalist who is cozying up to Russia and China.”

Posts per day and new authors can be retrieved from each subreddit programmatically; each post is timestamped, so historical time series can be generated by iterating through the posts. Posts per day are used here rather than comments per day. Each post on Reddit can have a number of associated comments in a one-to-many type relationship. However, examples exist where huge numbers of comments are generated that are unrelated to market activity; for example, sometimes people give away small amounts of cryptocurrency to everyone who comments with their public blockchain wallet address; this causes a huge spike in comments (wavelet coherence between comments per day and price were also generated, but as was expected showed less significant relationships than posts per day and price).
Insurance and risk management for digital assets will increase investor confidence, said OneDegree.