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Seed grant to explore using AI to model subsurface rock formations | Penn State University – Penn State News

UNIVERSITY PARK, Pa. It is difficult for geoscientists to map sedimentary rocks' compositional and mechanical properties at high resolution, according to Yashar Mehmani, assistant professor in the John and Willie Leone Family Department of Energy and Mineral Engineering. He recently received a seed grant from the Institute for Computational and Data Sciences (ICDS) to investigate using artificial intelligence (AI) to develop a new method to model the Earths subsurface.

The ICDS seed grant program is designed to help Penn State scientists use the latest computational technology and cutting-edge data science techniques to deepen understanding and develop innovation across fields and disciplines. Mehmani received the grant for his proposal, "Using AI to Map Infrared Spectra to Geomechanical Properties from the Micron to Meter Scale."

"I am super excited," said Mehmani, who also is a co-funded faculty member of the Institutes of Energy and the Environment. "This seed grant is significant because the underlying idea is experimental to the point that there is a finite probability of failure. But if successful, the rewards are really high because they could potentially change how geoscientists model subsurface formations.

"What is also exciting is the promise of machine learning in this specific problem, which I have not so far formally applied in my research. The potential lies in extrapolating data from small to large and translating 'cheap but less useful' information to 'expensive but more useful' information. The speed with which this could be done opens up extraordinary possibilities," said Mehmani.

According to Mehmani, it is difficult to map sedimentary rocks' compositional and mechanical properties at high resolution because the instruments available either lack resolution or are too expensive to use on new, previously unobserved sections of a subsurface formation.

Determining the formation's mechanical properties requires drilling 100-meter-long cores of rock and then extracting smaller sample for testing. While indispensable, the approach is time-consuming, leaves gaps between measurements and must be repeated whenever a new section needs analyzing even from the same formation. Mehmani proposes a new approach that would expose sedimentary rocks to infrared light and record its reflections. His team will then analyze the reflections at multiple wavelengths to understand the compositional makeup of minerals and organics within the rock. The compositional information would then be related to mechanical properties measured on lab samples using AI.

According to Mehmani, the proposed approach only needs to occur once to build the initial database for the formation. The entire process of producing the infrared spectra and mapping them to a high-resolution mechanical property could take only a few hours. This reduction of time and cost could dramatically change how subsurface formations are analyzed.

"When deployed, the AI would instantaneously translate data from a few lab samples into meter-scale information," said Mehmani."AI is that bridge. You train it on a few small samples and when you deploy it, you get something that no instrument can measure on its own."

The use of infrared imaging builds on Mehmani's previous research, which successfully used near-infrared spectra to develop models of organic-rich shales from the Green River Formation.

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Wildfire smoke may have contributed to thousands of extra COVID-19 cases and deaths in western US in 2020 – Harvard School of Engineering and Applied…

In 2020, at the same time the nation was contending with the COVID-19 pandemic, huge wildfires swept across the western U.S., including some of the largest ever in California and Washington. Wildfires produce high levels of fine particulate matter (PM2.5), which has been linked with a host of negative health outcomes, including premature death, asthma, chronic obstructive pulmonary diseases (COPD), and other respiratory illnesses. In addition, recent studies have found a link between short- and long-term exposure to PM2.5 and COVID-19 cases and deaths.The researchers from Harvard Chan School, the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), the Department of Earth and Planetary Sciences at Harvard, and the Environmental Systems Research Institute in Redlands, Calif.built and validated a statistical model to quantify the extent to which wildfire smoke may have contributed to excess COVID-19 cases and deaths in California, Oregon, and Washington, three states that bore the brunt of the 2020 wildfires. They looked at the connection between county- and daily-level data on PM2.5 air concentrations from monitoring data, wildfire days from satellite data, and the number of COVID-19 cases and deaths in 92 counties, which represented 95% of the population across the three states. The researchers accounted for factors such as weather, population size, and societal patterns of social distancing and mass gatherings.

The researchers relied on satellite data of smoke plumes to identify the locations and days affected by wildfires.

By combining satellite data with ground measurements of total PM2.5, we could more confidently distinguish smoke from other types of particles, said co-author Tianjia (Tina) Liu, a fifth-year graduate student in the Department of Earth and Planetary Sciences, who led the validation of the satellite data.The study found that from August 15 to October 15, 2020, when fire activity was greatest, daily levels of PM2.5 during wildfire days were significantly higher than on non-wildfire days, with a median of 31.2 micrograms per cubic meter of air (g/m3) versus 6.4 (g/m3). In some counties, the levels of PM2.5 on wildfire days reached extremely high levels. For instance, from September 14 to September 17, 2020, Mono County, Calif., experienced four days in a row with PM2.5 levels higher than 500 g/m3 as a result of the Creek Fire. Such levels are deemed hazardous by the U.S. Environmental Protection Agency.Wildfires amplified the effect of exposure to PM2.5 on COVID-19 cases and deaths, up to four weeks after the exposure, the study found. In some counties, the percentage of the total number of COVID-19 cases and deaths attributable to high PM2.5 levels was substantial.On average across all counties, the study found that a daily increase of 10 g/m3 in PM2.5 each day for 28 subsequent days was associated with an 11.7% increase in COVID-19 cases, and an 8.4% increase in COVID-19 deaths. The biggest effects for the COVID-19 cases were in the counties of Sonoma, Calif., and Whitman, Wash., with a 65.3% and 71.6% increase, respectively. The biggest effects for the COVID-19 deaths were in Calaveras, Calif., and San Bernardino, Calif., with a 52.8% and 65.9% increase, respectively.

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Wildfire smoke may have contributed to thousands of extra COVID-19 cases and deaths in western US in 2020 - Harvard School of Engineering and Applied...

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Augmented analytics capabilities mark the new era of BI – TechTarget

After the era of self-service analytics, it's now the era of augmented analytics.

The rise of self-service analytics was driven by the idea of giving business users the capabilities to work with data without requiring the skills of a trained data scientist or data analyst.

It was about giving them tools such as dashboards and other data visualizations that enabled them to look at pre-aggregated data and make data-driven decisions on their own, in the moment, without first having to consult with data experts.

Now, however, analytics is moving beyond self-service.

Fueled by augmented intelligence capabilities and machine learning, vendors are developing tools that enable business users to do more than simply look at pre-aggregated data to inform their decisions. They're developing capabilities that enable users without expertise in data science to do some of the tasks that previously required the skills of a data scientist.

Augmented analytics capabilities are now enabling organization to develop data-driven cultures and give business users the tools to prepare their own data, develop their own data models, query their own data, build and run their own reports, and even get automated insights that lead to action.

"We're coming out of the self-service era," said Doug Henschen, principal analyst at Constellation Research, on Aug. 11 during a webinar hosted by analytics vendor Tellius. "Now, the trends are around augmented capabilities, which are bringing the ability of the computer to the fore. This is what's shaping the market today."

We're coming out of the self-service era. Now, the trends are around augmented capabilities, which are bringing the ability of the computer to the fore. This is what's shaping the market today. Doug HenschenPrincipal analyst, Constellation Research

And according to Henschen, four emerging augmented intelligence capabilities in particular -- augmented data preparation, guided analysis, natural language processing and smart predictions -- are moving analytics beyond self-service and into its new era.

"Not all of these are used by everybody," Henschen said. "Some are still aimed at the traditional analysts and power users, while some are aimed at broadening the tent and getting to more business users."

Augmented data preparation tools are capable of automating the tedious, time-consuming process of wrangling the right data for a given project, and then extracting, transforming and loading that data to make it actionable and drive decisions.

Using machine learning algorithms, they're capable of both lightening the workload for data scientists and enabling business analysts to manipulate data on their own.

"Augmented data prep is [mostly] for traditional users -- analysts and power users -- who like to get hands-on and are data-savvy and comfortable," Henschen said. "The idea is improving their productivity, helping them take on more of the data prep and data engineering tasks that would otherwise be done by IT departments."

Key features of augmented data preparation tools include automated data profiling, formatting and cleansing recommendations, data-join recommendations and data governance measures, Henschen added.

Among the analytics vendors offering augmented data preparation tools are Tableau with Tableau Prep Builder and Microsoft with Power BI's Dataflows. Meanwhile, data management vendors including Trifacta and Alteryx are automating the data preparation process.

Guided and intent-driven analysis is augmented by analytics capabilities aimed at providing a data workflow for users who aren't particularly data-savvy.

Guided analysis tools automatically direct users as they navigate the steps of data analysis, providing a roadmap for them to follow as they explore their data with the goal of arriving at a data-driven decision.

"They're very helpful," Henschen said. "They help more ordinary business users, but also improve the productivity of more traditional users to help them do things more quickly."

Intent-driven analysis tools, meanwhile, go a step further and use machine learning to understand the habits of individual users, users within certain departments and even users across entire organizations to make recommendations.

"These are powerful features that help broaden the tent of data and analytics to more users that may not be familiar with all the nuances of exploration," Henschen said.

Tellius, which has a tool called Guided Insights, is one vendor offering guided analysis and ThoughtSpot is among those offering automated recommendations as users work with their data.

Natural language processing (NLP) eliminates the need to know code.

By simply typing words into a search bar or even speaking into a device, users can search and query their data and receive automatically-generated responses from their analytics tools.

The tools are able to automatically translate the natural language -- most often English but also other prominent European and Asian languages, depending on the vendor -- into SQL to run the requested search or query and then translate responses back into natural language.

"It's definitely a tent-broadener, bringing more people into data and analytics," Henschen said. "They're certainly comfortable having a Google-like experience."

NLP also includes natural language generation -- using AI and machine learning to produce narratives about data, whether data stories or short explanations of the data.

"A lot of business users aren't sure what they're looking at when they see a dashboard; they're not sure what to make of a data visualization, so natural language generation develops a paragraph describing what's important in the dashboard or report," Henschen said. "It's drawing on the metadata behind the scenes and giving a textual description."

Most analytics vendors now offer some NLP capabilities. For example, Qlik acquired NLP capabilities with its 2019 acquisition of Crunch Data, while Yellowfin is among the vendors providing NLG capabilities.

Predictive analytics involves using the past to predict the future. Based on historical patterns, what can be expected next?

Predictive analytics, however, is complex, and has historically required data scientists to build and train models.

But now, using augmented analytics capabilities including automated machine learning, business users can use their BI platforms to look forward rather than just back at what's already happened, and do so without having to write code.

More advanced users, meanwhile, can also make use of smart predictive features and enable others within their organizations by embedding those predictions within dashboards so they're consumable by anyone who works with data as part of their workflow.

"It brings a broader base of users to predictive capabilities and predictive insights," Henschen said.

And that, ultimately, is the focus of augmented analytics. Using AI and machine learning, augmented analytics tools are designed to broaden the reach of analytics beyond trained data analysts and data scientists to give business users the power to make data-driven decisions.

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It just got harder and less profitable to mine for bitcoin as algorithm adjusts – CNBC

It just got harder and less profitable to mine for bitcoin.

Every 2016 blocks, or about every two weeks, bitcoin resets how tough it is for miners to mine. Early Friday morning, as expected, the bitcoin code automatically made it about 7.3% more difficult to solve a block.

Historically speaking, this spike in difficulty is on the larger side, but it isn't surprising, nor is it alarming. But it marks the first sizable increase since the Chinese mining ban took effect and serves as confirmation of a trend we already knew was underway: Some of the miners that used to be in China are finding new homes elsewhere.

And while it may not be quite as lucrative to mint bitcoin as it was before the algorithm self-corrected, miners are continuing to make way more money now than they were before China's crypto crackdown in May.

"Hashrate levels are still down 42.1% from the peak in May 2021 when the China exodus happened," said Jason Deane, an analyst at crypto advisory firm Quantum Economics. That hashrate deficit means that those plugged into the bitcoin network right now are making bank.

When China kicked out all its miners this spring, more than half the computing power in the bitcoin network went dark. Miners elsewhere on the globe had to pick up the slack. Fewer people and less computing power meant that it was taking longer to verify transactions and mint new bitcoin.

So, like clockwork, the bitcoin algorithm self-corrected for this deviation from the norm, and in July, the network saw a totally unprecedented 28% drop in the difficulty level. Suddenly, it was easier to create new bitcoin, and the world's mining collective was back to solving blocks of transactions in an average of ten minutes.

This feature of the bitcoin code is a critical part of its network architecture.

This spring, an entire country which signified 54% of bitcoin's total hashrate went offline, and bitcoin didn't miss a beat.

"There was no downtime whatsoever to the bitcoin network. That's actually the smartest part of the bitcoin software: the difficulty adjustment," said bitcoin mining engineer Brandon Arvanaghi.

The entire episode was considered a "black swan" event for the industry, and according to crypto miner Alejandro de la Torre, it also made a whole lot of people much richer.

Now, with the new adjustment, Deane tells CNBC it's essentially 7.3% less profitable to mine bitcoin post upgrade.

"Assuming your energy cost and hashrate remain unchanged, the calculation really is as simple as it first appears," said Deane.

The difficulty adjustment also reflects the fact that the mining world has already touched bottom in terms of global hashrate. Since the end of June, miners have been coming back online fast.

"We have seen the bottom of the hashrate decline, and it is nothing but up from here," said Mike Colyer, CEO of digital currency company Foundry, which helped bring over $300 million of mining equipment into North America.

"This next adjustment reflects the fact that miners are building out capacity and plugging in new machines. There is an enormous amount of machines coming out of China that need to find new homes," continued Colyer.

Some of the machines coming back online are the same ones that were plugged in across China.

"Most of these guysare unable to move to the U.S. because of capital restraints, because they don't speak any English and they've never left the Sichuan region in their whole lives...What they did instead was sell all their machines," explained De La Torre, vice president of Singapore-headquartered mining pool Poolin.

"There's been a flurry of activity in the selling of these machines across the globe," he said.

But many of the ASICs coming online are straight off production lines from the biggest manufacturers on the planet, like Bitmain and Whatsminer. These newer rigs are more efficient, and Colyer says that they get about double the hashpower for the same amount of electricity.

In fact, many mining insiders predict that most of the old-generation equipment will never come back online, meaning the entire network will become more efficient and spark more competition among miners.

"Newer machines have considerably higher hashrate than their predecessors so we will likely see hashrate continue to move back to a new all-time high sometime in the next 12 months," said Whit Gibbs, CEO and founder of bitcoin mining service provider Compass.

Several of these new machines are currently in transit to buyers, according to Deane. Some of the larger players have tens of thousands of new ASICs on order which are due to come online over the next 12 months.

"This means difficulty will continue to increase steadily, and probably quite significantly, over that same period," said Deane.

In the meantime, Colyer says to expect difficulty adjustments of more than 10% each month from this point forward. He thinks it will take another nine to twelve months for the difficulty to double.

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Cause and effect: Will the Bitcoin price drop if the stock market crashes? – Cointelegraph

The year 2009 was marked by both the genesis of Bitcoin and the United States stock market starting an unprecedented bull market one thats continued almost uninterrupted since. However, murmurings of a crash are always present, and the noise has recently been getting louder.

Against the backdrop of COVID-19 refusing to go away, stocks keep pushing higher, backed by an unprecedented amount of government support. But now that quantitative easing policies are no longer being implemented, is the talk of a stock market crash justified?

If so, this could bring unfortunate news for Bitcoin (BTC): It could be argued that there are signs of a strong correlation between Bitcoin and stocks. So, what may happen to crypto if the bottom falls out of U.S. equities?

Taking crypto out of the picture, the increasing speculation that a crash is imminent does hold some merit. In June, the inflation rate in the U.S. was significantly higher than expected. In the meantime, the government continued to issue bonds and accrue more debt to the point that theres now talk of raising the debt ceiling.

The justification for this is, of course, the ongoing pandemic relief effort. But the government is pumping money into the economy when other signs, such as U.S. stock prices, indicate that the relief isnt needed. U.S. real estate markets are also surging, while the Federal Reserve has already expressed concerns that investors are becoming increasingly reckless, referencing the appetite for meme stocks and cryptocurrencies as cases in point.

All this money pumping into the economy has to dry up at some point, leading to justifiable speculation that a crash could be the inevitable consequence. Michel van de Poppe, Cointelegraph columnist and full-time trader, believes that the expectations of a heavy correction are justified, adding:

Toya Zhang, marketing manager at AAX exchange, agrees that a crash is coming but urges caution on attempting to predict the timing. Given how common stock market declines are, and the fact that the market is somewhat overvalued, I think theres a reasonably high probability of a stock market downturn, Zhang said. Nobody can say exactly when that will happen, though.

One question is: How linked were the recent market recoveries in both crypto and the stock market back in March 2020? Most stock market analysts were surprised by how fast and furious the recovery was. Although, the fact that the S&P 500 skews heavily to tech companies explains a lot given how quickly the world turned to digital.

But in the crypto space, the narrative was somewhat different. In the absence of any other explanation for the crypto market crash, most people were surprised that Bitcoin had behaved in a way that appeared to mirror stocks. After all, the assumption had always been that BTC was uncorrelated and would act as a hedge against more traditional asset types such as stocks and precious metals.

Based on the most recent experience, history would suggest that if the stock markets were to crash in 2021, the crypto markets would follow. An alternative scenario would be that the stock market crashes and investors immediately move funds into crypto. Even without the benefit of March 2020 hindsight, this seems unlikely. Crypto still has a reputation as a notoriously volatile asset, one thats untested as a safe haven in a financial crisis.

However, what happens post-crash could make for a more interesting discussion about market correlations. What if, this time around, the stock markets dont go into automatic recovery mode? This scenario is a reasonable assumption, given that the pandemic effect is now priced into the markets, and theres a lot less uncertainty than there was in March of last year.

What would BTC do in the event of a prolonged flat or even bearish period in U.S. stocks? The most powerful premise for the Bitcoin is uncorrelated to stocks argument is that Bitcoin has its own market cycles linked to halving that dictate its price movements in a far more compelling way than any external economic forces. Examining it through this lens, one could speculate that regardless of whether the stock markets had recovered post-March 2020, BTC would have gone on to achieve new all-time highs anyway.

But even against the ever-reliable stock-to-flow BTC price model developed by PlanB, prices have been struggling to stay within the boundary of late. Nevertheless, the recent rally means that the model has held, and prices are currently showing significant promise of a sustainable recovery. So even if tumult in the stock markets were to cause chaos in crypto, there is data that predicts that the BTC market cycles could ultimately resume their apparently iron-clad control of prices.

If there is a short-term crash, there is no evidence thus far to suggest that the Bitcoin price will fail to follow. Assuming this occurs in 2021, what will happen afterward could become a struggle between Bitcoins market cycles and the effects of a prolonged economic downturn.

However, assuming the effect of the former can outweigh the latter by even an increment, it would make Bitcoin attractive as a safe haven asset (in the absence of many other alternatives). If everything else is going down, BTC only needs to maintain its value to tempt investors. But suppose Bitcoins halving cycle proves able to negate the effect of a prolonged market downturn altogether. In that case, BTC could become one of the only assets to offer the opportunity for significant returns during a downturn.

Sean Rach, co-founder of not-for-profit blockchain services firm hi, believes that crypto will ultimately become an attractive asset for alpha seekers. The growing dissatisfaction with the financial system, as well as the history of all fiat currencies, means the search for alternatives remains a positive factor for the growth of the crypto markets, said Rach. Meanwhile, Mati Greenspan, founder and CEO at advisory firm Quantum Economics, told Cointelegraph:

Ultimately, its worth remembering that crashes are short-term events. They may be painful, but the longer-term outlook is where things get more interesting. Suppose stocks end up in a sustained bear market while the macroeconomy recovers. In that case, it could easily turn into an opportunity for investors to scoop up a bargain once crypto bottoms out. As such, while a short-term correlation could be hard to avoid, theres every chance that crypto could buck the markets in the long term.

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Bitcoin Back Above $46K on Low Daily Volume as Altcoins Outperform – Yahoo Finance

Bitcoin has clawed back lost ground from Thursdays 2.4% sell that saw the crypto reach a low of around $43,800.

The worlds largest cryptocurrency by market value was up 1.5% over a 24-hour period by press time and is currently changing hands for around $46,100.

Bitcoin is beginning to edge closer toward analysts projected $50,000 price tag, as CoinDesk reported Thursday.

Related: Cardano Announces Alonzo’ Upgrade Launch Date; Price Jumps 16%

We were seeing many investors taking advantage of recent market movements by taking profits, said Asher Tan, CEO of cryptocurrency exchange CoinJar. Theres a trend of conservatism among users who jumped into crypto around similar price levels earlier in the year, with users slightly trimming their holdings.

Indeed, bitcoins total daily volume across major exchanges, including Bitstamp, remains flat when compared to previous months, particularly towards the end of May.

While the recent price movements have seen an increased amount of activity in the markets, trading volumes globally are nowhere near where they were the last time the price was at $45,000 theyre much lower, said Janine Grainger, co-founder of Australia-based exchange Easy Crypto.

The co-founder points toward new investors remaining cautious ever since they had a taste of the crypto markets volatility when the sell-off in May saw bitcoin prices drop 50% from $56,700 to around $30,000 in a little over a week.

Related: Israeli Financial Authorities Double Down on Bitcoin-Linked Investments: Report

Yet seasoned investors, Grainger argues, are increasingly active with data hinting at a strong uptake in altcoins, beginning Aug. 9. In particular, ether has picked up significantly against bitcoin and that is starting to trend again as of today, she said.

Some folks are worried were about to repeat history with this years $60,000-$30,000-$45,000, but this time it really is different, BCB Group CEOOliver von Landsberg-Sadie told CoinDesk via Telegram on Friday. There is a ton of institutional money in the system, which behaves very differently from retail money; the ecosystem has evolved significantly with hundreds of thousands of man hours of innovation; and regulation has gained much greater definition.

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Ether isnt the only crypto trending higher on the day with cardano, stellar and solana posting the highest gains. Zooming out to a seven-day period, most altcoins in the top 20 by market cap are outperforming bitcoin while most decentralized finance (DeFi) cryptos are trending higher in the green, up between 6%-90% over the same period.

In terms of altcoins, many cryptocurrencies, especially DeFi coins, have been lagging in comparison to bitcoin and ether, said Tan. However, were starting to see a trend of users swapping bitcoin for DeFi coins, which has been a catalyst for the recent appreciation in their price.

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The family that bet everything on bitcoin when it was $900 is now storing it in secret vaults on four different continents – CNBC

Didi Taihuttu, along with his wife and three kids, liquidated all of their assets and bought bitcoin in 2017, back when it was trading at around $900. Now, the Dutch family of five is safeguarding most of their crypto fortune in secret vaults on four different continents.

"I have hidden the hardware wallets across several countries so that I never have to fly very far if I need to access my cold wallet, in order to jump out of the market," explained Taihuttu, patriarch of the so-called Bitcoin Family.

Taihuttu has two hiding spots in Europe, another two in Asia, one in South America, and a sixth in Australia.

We aren't talking buried treasure none of the sites are below ground or on a remote island but the family told CNBC the crypto stashes are hidden in different ways and in a variety of locations, ranging from rental apartments and friends' homes to self-storage sites.

"I prefer to live in a decentralized world where I have the responsibility to protect my capital," said Taihuttu.

There are a lot of ways to store crypto coins. Online exchanges like Coinbase and PayPal will custody tokens for users, while the more tech savvy may opt to cut out the middleman and hold their crypto cash on personally owned hardware wallets.

Thumb drive-size devices like a Trezor or Ledger offer a way to secure crypto tokens. Square is also building a hardware wallet and service "to make bitcoin custody more mainstream."

People who choose to hold their own cryptocurrency can store it "hot," "cold," or some combination of the two. A hot wallet is connected to the internet and allows owners relatively easy access to their coins so that they can access and spend their crypto. The trade-off for convenience is potential exposure to bad actors.

"Cold storage often refers to crypto that has been moved to wallets whose private keys the passwords that enable the crypto to be moved out of the wallet are not stored on internet-connected computers, so that hackers can't hack into the computer and steal the private keys," said Philip Gradwell, chief economist of Chainalysis, a blockchain data firm.

Gradwell said exchanges will also often use cold wallets to secure the crypto their customers have deposited.

A recent Chainalysis report examining wallets holding bitcoin shows that 11.8 million bitcoin is in the hands of long-term investors, 3.7 million is lost, another 3.2 million is circulating among traders, and the remaining 2.4 million have yet to be mined.

"We can guess which wallets are cold storage as they have particular behaviors, like receiving large amounts of crypto from a single source and not sending any for a long time until they are emptied all in one go but you cannot definitively tell that a wallet is being used as cold storage," said Gradwell.

In the case of the Taihuttu family, 26% of Didi's crypto holdings are "hot." He refers to this crypto stash as his "risk capital." He uses these crypto coins for day trading and potentially precarious bets, like when he sold his dogecoin for a profit and then bought it back when the price of DOGE bottomed out.

The other 74% of Taihuttu's total crypto portfolio is in cold storage. These cold hardware wallets, which are spread around the globe, include bitcoin, ethereum and some litecoin.The family declined to say how much it holds in crypto.

Bitcoin, ethereum and litecoin are all in the midst of yet another climb higher, up 57%, 83% and 61%, respectively, in the last three weeks.

Moving bitcoin to cold storage isn't a new idea. For as long as there's been bitcoin, there's been a way to store it cold. But it requires more upkeep.

"Cold storage requires a lot more permissioning in order to access it, whether it be in a bank vault or whether it be buried in the Andes mountains," said Van Phu, a software engineer with crypto fintech start-up Floating Point Group.

And while Taihuttu said it's easy to top up the addresses of these cold storage wallets with fresh crypto coins, retrieving them is a different story. Drawing down on his cold crypto requires physically flying to his many hiding spots.

Taihuttu is trying to put a crypto cold wallet on every continent so it's easier to access his holdings.

Buried in the Swiss Alps is a vault inside adecommissioned military bunker that's cut off from the internet, guarded by an onsite security team, and apparently, according to digital bank Xapo's website, "watched over in the skies by satellite." The precious merchandise under lock and guard is bitcoin.

Coinbase bought Xapo in 2019, an unsurprising move for a company that stores 98% of customer funds offline, in order to provide "an important security measure against theft or loss."

While centralized vaults like these offer certain security protections, Taihuttu said it feels too centralized to him.

"If you want to store your coins truly outside of the reach of the state, you can just hold those private keys directly. That's the equivalent of burying a bar of gold in your backyard," said Castle Island Ventures general partner and Coin Metrics co-founder Nic Carter.

That's why Taihuttu doesn't use banks or post offices. "I find it just too risky," he said. "What happens when one of these companies goes bankrupt? Where are my bitcoins? Will I have access? You again put the trust of your capital in the hands of a centralized organization."

But Taihuttu said some centralized cold storage companies offer a major perk.

"They have beautiful setups for inheritance," he said. "When you die, these companies handle that, as well, and I really believe they are doing a great job."

Phu said multiparty computation, or MPC, is also proving instrumental in the digital asset space. In this custodial arrangement, multiple parties all have to give consent in order for a transaction to go through.

This avoids the risk of storing private keys and authentication credentials in one single place, something known as a "single point of compromise." MPC instead breaks up the private key into shares, encrypts it, and then divides that among multiple parties, according to Fireblocks, a digital asset infrastructure provider.

"I think the evolution right now is to MPC," said Phu.

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Bitcoin Firm Reveals Its Total BTC Reserves, Urges Other Crypto Exchanges To Disclose Holdings – The Daily Hodl

Crypto derivatives platform BitMEX is revealing its total Bitcoin (BTC) reserve balance and is suggesting that other exchanges go public with their reserves as well.

In a new blog post, BitMEX says that it holds 110,090 Bitcoin, worth $5.23 billion at time of writing.

The firm also provided tools that anyone can use to verify liabilities and the companys reserves against the blockchain.

BitMEX says that it hopes other crypto firms and platforms will reveal their Bitcoin holdings as well.

BitMEXs recent transparency comes on the heels of its $100-million settlement with the U.S. Financial Crimes Enforcement Network (FinCEN) and the Commodity Futures Trading Commission (CFTC).

According to the CFTC, a settlement was reached with five entities that were charged with operating the BitMEX crypto derivatives platform.

The order requires the BitMEX entities to pay a $100 million civil monetary penalty, and provides that up to $50 million of the penalty may be offset by payments the BitMEX entities make or are credited pursuant to a Consent to Assessment of Civil Monetary Penalty entered by the Financial Crimes Enforcement Network.

In October of 2020, the CFTC accused BitMEX founders Arthur Hayes, Benjamin Delo and Samuel Reed along with the platforms other operating entities of partially operating from the US and serving US customers without proper approval.

FinCENaccusedBitMEX of operating with inadequate anti-money laundering and customer identification measures.

Featured Image: Shutterstock/cobalt88

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Bitcoin Firm Reveals Its Total BTC Reserves, Urges Other Crypto Exchanges To Disclose Holdings - The Daily Hodl

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Bitcoin Price Volatility And How Risk Management Is A Vote Of Confidence – Bitcoin Magazine

The day that bitcoin becomes less volatile is the day that mass adoption will begin. Or is it that mass adoption will minimize volatility on bitcoin?

This is one of the most popular debates in our space as market participants try to speculate when the volatile price action of bitcoin will get smoother. Those who know me are familiar with my stance on the subject: Mass adoption should eventually smooth the volatility curve and price swings on bitcoin, but this adoption could increase volatility significantly in the near term, as the expanding ecosystem continues to adjust to the inflow of new market participants.

As the Bitcoin ecosystem grows and evolves, new players continue to enter with different characteristics from one another, something that can bring disruption or even stress in an ecosystem that has been used to a different reality for such a long time.

Some of the lowest levels of volatility, in fact, occurred during the early adoption stage (2013 to 2017) of bitcoin, when the market cap was below $20 billion and the network was dominated by early believers in a buyers-only market. Then suddenly, volatility struck with a massive sell off that shook the world in 2018 and took many people out of the market.

But what happened prior to the sell off that triggered that event? Many things have been said about this, but few approaches have acknowledged a key event that took place a little earlier, in December 2017: the introduction of the first bitcoin futures product, which started trading on the Chicago Mercantile Exchange.

This was an event that for the first time created a new reality. The ability to short-sell bitcoin on a large scale. In other words, the ability to sell bitcoin that you had never previously owned (even if that bitcoin was never real, but rather just a price tracker).

That consisted of the first expansion of the Bitcoin ecosystem, which came to counter the prior reality of a buyers-only market.

The growing popularity of bitcoin as an asset class on its way to mass adoption triggered the creation of the futures market and the creation of a new type of market participant, the short seller, something that led to a sell off we all remember.

Source: TradingView

Moving forward, as bitcoin entered a new market cycle, the pain of 2018s sell off took most momentum players out of the system and allowed the maximalists to regain the majority composition of the network.

Something that led to the gradual rejuvenation of prices all the way through mid-2020, when bitcoin became, for the first time, the coolest kid in town and mass adoption started to seem like a potential reality.

But, before we address the present, lets take a look at how volatile bitcoin was as it headed toward the CME listing, the price ease and the return to relativity for people outside the network.

Source: Bloomberg Terminal

Bitcoin was quite volatile, some might say, as the network was preparing itself for mass adoption. But how does this compare to the price action of mid-2020 to the present, when a record inflow of market participants joined our network and mass adoption began to start getting triggered?

Source: Bloomberg Terminal

The record inflow of new market participants led to record volatility in the network, a volatility that does not seem ready to leave the system yet. Why? you might ask. Did we not always believe that mass adoption will bring balance in the system? How come bitcoin, at a $100 billion, $300 billion or even $1 trillion market cap, is more volatile than bitcoin at a $20 billion market cap?

The answer is simple: The market participants now have different utilities and purposes than they did in the early adoption stage, and the network is having a small shock as it is trying to absorb the growth, similar to acne on a teenagers face as their body grows into that of an adult.

Bitcoin with a market cap in the hundreds of billions of dollars has many new players. Players with different roles and beliefs, with the maximalists accounting now for a significantly smaller part of the pie. The ecosystem has evolved from a buyers-only market that welcomed initially long-term investors, to welcome momentum traders and speculators, proprietary desks and liquidity providers, lenders and a series of other new roles that are in fact very much needed for the long-term purpose of mass adoption, but who have brought extreme volatility in the near term as the network tries to adjust to the new, constantly-evolving reality.

All of that, as one question continues to dominate the market: How can we minimize volatility on a network that has grown from an infant into a baby, but still has a long way to go until its fully developed?

The answer is simple: risk management.

Risk management from an individual perspective is the most significant assistance that each of us can offer to bitcoin in order for it to continue to grow and accept new members under lower volatility and smoother price swings.

When it comes to risk management, the number-one rule is understanding your risks. But before we understand them, we actually need to acknowledge them.

Denial of risk refers to cognitive ways to develop adaption to risky behaviors by rejecting the possibility of suffering any loss. -Peretti-Watel

It aint what you dont know that gets you into trouble. Its what you know for sure that just aint so. -Mark Twain

What if the accumulated total of the bitcoin positions in the world were not based on random outcomes, but instead on scenarios known ahead of the position establishment?

What if the liquidation of that leveraged position could have been prevented?

What if the profit of a miner was locked one year out ,or 70% of the value of your portfolio was secured?

Then confidence would dominate the market and the next sell off would not have been as bad as the prior one.

Risk management is a vote of confidence in bitcoin.

Why? Because confidence is derived by known outcomes and known outcomes are an output of risk management.

Risk management is the answer to extreme volatile swings and lesser sell offs. The moment the downside is not detrimental to our portfolios or lives savings, is the moment that liquidations will be avoided and panicked selling will seize.

The moment everyone individually manages their risk is the moment that price normalization will be attained and confidence will be achieved in the broader market.

But how do we even approach risk management?

For starters, risk management begins with position placement and trade execution. Or by simply avoiding an overleveraged situation that you have absolutely no control over.

Risk management occurs by making sure that we do not engage in a trade that, if gone wrong, will threaten the financial wellbeing of ourselves and our families.

Risk management occurs when you put a stop loss on your leveraged position instead of doubling down or hoping that prices will return back to where they were.

Risk management occurs when you quickly realize that you are the one who is wrong, not the market, and accordingly adjust your exposure.

In a more moderate approach, risk management can be achieved through the derivatives markets, when you buy a put option in order to establish a maximum loss scenario or a minimum gain. Or simply when you sell some futures contracts for part of your physical position in order to protect your portfolio against nearby volatility and potential adverse market conditions.

Just like anything else in life, risk management should work as a damage-aversion mechanism, not as an aftermath solution. Our goal should always be to avoid our house catching on fire, not putting the fire out once its too late.

This is a guest post by Anestis Arampatzis. Opinions expressed are entirely their own and do not necessarily reflect those of BTC Inc or Bitcoin Magazine.

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By The Numbers: What $10 In Bitcoin Each Day Would Net Investors – NewsBTC

A lot of new investors believe that they have missed the opportunity on bitcoin. This is simply not true. Less than 10% of the world currently know about bitcoin. That leaves over 6 billion people in the world who do not know about bitcoin. So in actuality, the investors who are getting in now who think they missed the boat are in fact, early adopters.

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That aside, dollar-cost averaging (DCA) has become an increasingly popular way for people to invest in the market. Dollar-cost averaging is simply the art of spreading the investment over a period of time instead of buying everything in one fell swoop. Simply put, say an investor has $1,000 to invest into BTC, instead of buying BTC worth $1,000 at once, they could choose to spread out the buying over a period of time.

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So said investor could decide that they want to buy the BTC in the span of 10 days. Buying $100 worth of BTC every day for 10 days. Or maybe buying $10 worth of BTC over 100 days. The idea behind it remains the same; spreading the investment out so the impact of volatility is reduced on said investment.

Bitcoin is at least a decade old at this point, so a lot has happened in the market. Given its tremendous growth, investors wish they had invested a large sum into the asset when it was still cheap. But what if you had put $10 every day into bitcoin for the last five years? How much would you have now?

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Well, if an investor had investor $10 a day for the past five years in BTC, the total amount spent would have come out a little over $18,300. But the amount in BTC would have been over $334,000. Leading to over 1,800% gains from investment. So a $300 a month investment would have come out to over $300,000 in returns after the initial investment is subtracted.

Going even farther back than five years would lead to even more gains. And going back 10 years would have seen investments grow over 100,000% in just the last decade alone.

Bitcoins were literally worth nothing when they first came out; $0. They were being given away for free. One could mine with an old laptop and have hundreds of bitcoins in no time. But as people began to see the usefulness of the technology, the price of the asset began to soar.

Related Reading |Bitcoin Will Break Above $100,000 In Six Months, CEO Omar Chen

This lead to BTC gaining value as time went on. More people began to use the asset. But it still was not well-known until the Silk Road bust. When federal agents busted the website in which BTC was the main currency for trading, everyone wanted to know what this currency was that could not be traced.

The price mostly stayed flat following this until 2017, which is when one of the most notable bull markets took place. The price of BTC went surging from below $4,000 to $19,000 between April and December 2017, setting a new all-time high.

Back then, it seemed as if BTC had peaked and would crash back to zero. But four years later, BTC is still going strong, with $30,000 being viewed as the bottom for the cryptocurrency. This just goes to show how much more bitcoin can and will grow in the coming years.

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By The Numbers: What $10 In Bitcoin Each Day Would Net Investors - NewsBTC

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