Anthony Watson news

President of Bitreserve, a bitcoin trading startup.

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IBM Watson & LTO Network to Speed up Small Criminal Cases by 400%

This is a paid-for submitted press release. CCN does not endorse, nor is responsible for any material included below and isn’t responsible for any damages or losses connected with any products or services mentioned in the press release. CCN urges readers to conduct their own research with due diligence into the company, product or service mentioned in the press release. Blockchain has opened up countless opportunities for organizations to work together in a smarter and more transparent way. But only when novel technologies are combined, true efficiency surfaces. Nowadays, disruptive digital technologies like artificial intelligence and blockchain impact not only finance The post IBM Watson & LTO Network to Speed up Small Criminal Cases by 400% appeared first on CCN

LTO Network and IBM Watson to Ease Administrative Burden for Dutch Criminal Justice System

LTO Network and IBM Watson are collaborating to transform public services and are currently helping the Dutch District Attorney’s office to streamline their administrative processes. The LTO Network is a hybrid blockchain platform that offers efficient information exchange through decentralized workflows. Its Live Contracts enable stakeholders to collaborate because they actively instruct humans and computers about the steps to take in a workflow. Relieving the administrative burden of ZSM processes ZSM (“zo snel mogelijk”) processes are administrative processes used by the Dutch District Attorney’s office. LTO Network will be working to optimize these processes on the blockchain, ensuring GDPR compliance and data privacy. ZSM processes, meaning “as soon as possible” in English, are those in which the accused either has to take a simple action or pay a fine. No other steps, such as a court hearing, are necessary. These ZSM processes require extensive administration and running on the LTO Network blockchain with predefined logic automates them. All parties are able to participate using their own systems, and information is exchanged automatically between systems. Errors and lead times on files can be prevented. IBM Watson will help to further streamline ZSM processes in the course of Q2 this year. When stakeholders input questions in the decentralized workflow, a cognitive computing system will be able to understand them and provide the right answer. It does this by using machine learning and advanced language recognition. The computing system will go through millions of documents looking for patterns. It will then rank results and adjust them until it finds the best answer to the question. The hope is that the collaboration between LTO Network and IBM Watson will enable criminal cases to be ‘solved’ as much as four times more quickly. Reducing supervision costs related to waste transportation In 2018, The Human Environment and Transport Inspectorate (ILT) of the Dutch Ministry for Infrastructure commissioned LTO Network to reduce the supervision costs related to European waste transportation. It believed that a combination of applications for data intake and verification together with blockchain technology would pave the way for more efficient cross-border transfer of waste. Using the LTO Network blockchain gets rid of heavy bureaucracy and releases human resources to be used on tasks that can’t be automated. Government bodies and companies get real-time verification of each step in a process. LTO Network began its journey in 2014, and it just got primarily listed on the exchange on Jan 17th, launching with a number of clients and working projects. Portugal is holding the first government contest that will use blockchain technology to choose the winners of a GovTech contest for startups. In 2018 Chile’s National Energy Commission started using blockchain in energy. Every week, governments are announcing the adoption of blockchain-based technologies for different projects as an efficient, transparent way to streamline data. The blockchain revolution started some time ago, and many governments are busy evaluating and piloting how, where and why to deploy blockchain technology. This is a sponsored press release and does not necessarily reflect the opinions or views held by any employees of NullTX. This is not investment, trading, or gambling advice. Always conduct your own independent research. Image(s): The post LTO Network and IBM Watson to Ease Administrative Burden for Dutch Criminal Justice System appeared first on NullTX.

How I built a Telegram Reminder bot with Node JS, the IBM Watson API and Firebase

How I built a Telegram Reminder Bot with Node JS, the IBM Watson API and FirebasePhoto by Rock’n Roll Monkey on UnsplashTable of ContentsIntroductionPrerequisitesCreate the bot with Node JSConnecting the bot to a real time DB(Firebase)Run the Cron JobScript to connect to the IBM Watson APIDeploy to GlitchConclusionIntroductionThis Telegram bot, would simply take three commands./start — Initializes our bot./save — Saves the string we will like to be reminded of later./time — Saves the time we would love to carry out this task.Then, this data is saved to firebase, and a cron job is initialized, which will run at the set time. This cron job, sends a text reminder to the user, and is then converted to an audio file, using the Text to Speech IBM Watson API, and is also sent to the user.PrerequisitesA Telegram bot, This bot can be created by sending a ‘/start’ message to the Bot Father account on Telegram. The bot token should also be gotten.An IBM watson account (it’s free).A real-time database, firebase / firestore.A Glitch account, which just needs your Github account.A little bit of regex and bash(Nothing to be worried about).Create a bot with Node JSOk, to begin, we will need to install the modules we will need. So from our directory, we will run this in the terminal:$ mkdir telegramBot && cd telegramBot$ npm init$ npm install node-telegram-bot-api node-cron firebase-admin shelljsWe will be using the node-telegram-bot-api as a wrapper. To begin, we will create an index.js file in our directory. We will add the following lines to our index.js file: we initialize the bot with the token gotten from the Bot Father account. The polling option on line 6, keeps the channel between the bot and the user alive. Its a web socket thing. We also declare a reminder variable, which holds what we want to be reminded of./startThen, we will have our server listen to when the ‘/start’ command is inputted by our user. So we will add an onText listener, to the index.js file. listens to when the ‘/start’ command is passed, and then responds with a callback that contains a ‘msg’ object which holds the chat id, the name of the user etc.When this condition is met, the bot sends a message to the chat id, asking what the user, what he wants to be reminded of. So we are done with the first command!/saveThis command will save what we want to be reminded of. This listener will be triggered after the ‘/start’ command is passed. So we will pass this function, in the promise returned(.then) we listen to when the ‘./save’ is entered, and then the ‘match’ variable in the callback returns an array with what is matched.If the user enters /save ‘wash my clothes’, then the ‘wash my clothes’ string will have the first index in the array i.e [‘/save wash my clothes’, ‘wash my clothes’]. When this is gotten and saved, we then send a message asking for the time. We are done with the second command!/timeNow, we will save the time. This should be entered in the promise chain of the save command. We want to save the command with the format, HH:MM:SS:(AM OR PM). So our time function should look like this: the regex, matches the format, and then we get the time by splitting the match response. The match variable looks like this:[ '/time 06:33:33:PM', '06', '33:33', 'PM', index: 0, input: '/time 06:33:33:PM' ]So splitting the first item in the array, we get 06:33:33:PM, and then we send a thanks message. But our bot doesn’t actually save the users request yet, and it surely doesn’t remind the user. So we need to fix this.At this stage, our index.js file should look like this: interaction with our bot, should look like this:Connecting the bot to a real time DB(Firebase)Now, we will create a database.js file in the root of our directory, which will handle our connection to the firestore db. Our database.js file should look like this:, we can import our database.js file at the top of our index.js file.const db = require('./database').database;We also want to save the user’s request with the user’s chat name, but if the user makes more than one request, it will be a duplicate. So we can attach a random string to each document to be stored on firestore. To do this, we’re going to create a helper.js file in our root, and it would look like this: returns a string with whatever length we pass. We can also import this file at the top of our index.js file.const generator = require('./helper');Now, we will go back to the function that handles our /time command, before sending the ‘Thank you’ reply, and then we add this:, i created a collection on my db called ‘reminder’. And then i pass the payload using the .set command to that collection. Now, there is a hasUserBeenReminded key, which helps us keep track of if the user has been reminded of a certain task.If we interact with our bot again, after running the /time command, our db should look like this:firestore dbIf this works fine, we can then run a cron job, to remind the user at the set time. We can add the dependency at the top of the index.js file.Run the Cron Jobconst cron = require("node-cron");Then, we can continue with the function that listens to our /time command. we basically get the hour and the minute the user wants to be reminded of a certain task, and then schedule it with the cron dependency. Normally, the cron scheduler has a pattern:* * * * * *These asterisks represent the second(optional), minute,hour,day,month and year respectively. So we ignored the second option, and chose the hour and minute. When it’s time, the event is triggered, and the reminder is sent, the hasUserBeenReminded key is also set to true.We should have a message like this, when the time comes.Script to connect to the IBM Watson APIWe also want the bot to send a voice note of our reminder. Something like a ‘wash your clothes’ will do. To do this, we will use the text to speech service on the IBM Watson API. This will convert the file to an audio file of the format we want(Telegram accepts the .ogg format) and then upload it.To do this, we will be writing a simple shell script. We will name the file,, and it should look like this: ‘$1’ gets the first argument when the command is run. That will be our text. And then if that argument is not empty, do a post request with curl, else display a string ‘No arguments’. If this runs successfully, the output remindersss.ogg will be added to the root directory.We can run this in the terminal with the sh command, but to run this in node, we will need to add a dependency at the top of our index.js file.const shell = require('shelljs')So now, we will run this with the shell.exec command, and then the first argument will be what we want to be reminded of. will execute the shell script, and then pass the reminder as the first argument. Then we send the audio to the user!Our Interaction with the telegram bot should look like this now:Audio file sentDeploy to GlitchOk,this is really just plug and play. After creating a project on glitch, just copy and paste your code there, and you’re good to go.ConclusionThis project still has many rough edges, one of which is queuing, because it takes just one request at a time among others. If you need clarification, there is a repository for it.Thank you very much for reading,if you liked it, please clap. if you have any questions or you need further clarification, you can leave a comment or a mail( I built a Telegram Reminder bot with Node JS, the IBM Watson API and Firebase was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.

Your personal assistant in cryptocurrencies powered by IBM Watson takes the plunge!

The French startup Daneel is launching its first Artificial Intelligence of the same name and dedicated to helping investors and newcomers in the cryptocurrency market by providing them with advanced market data analysis. The Smart Assistant is available on the AppStore and Google Playstore. Today marks a turning point for the French startup, Daneel, with the launch of its flagship product to the general public: a personal assistant in cryptocurrencies that promises to assist investors and beginners. Daneel provides the most relevant data from the cryptocurrency market such as a curated newsfeed avoiding fake news, rumors and filtered according to the user’s need. The Smart Assistant is also capable of retrieving the market sentiment and emotion by analyzing millions of data from social medias, forums and crypto-specialized websites. Inspired by their own needs as cryptocurrency investors, the team behind the project wanted to address a very real market problem, namely information overload and unreliability. From this came the idea of an intelligent assistant capable of gathering, filtering and analyzing information to make it intelligible. To achieve this goal, the team has surrounded itself and entered into a partnership with the giant IBM, using Watson, one of the most powerful AIs on the market, which allows Daneel to manage the news in an optimal way and to bring out the subjective information in a text, in particular to improve the market sentiment score. Joseph Bedminster CEO & Founder at Daneel says: “We believe that Blockchain and cryptocurrencies are stunning new technologies that should be within everyone’s hands. Our goal is to support mass adoption by helping novices and businesses to get on board and to provide them with the most reliable data from the market in the easiest way possible: by simply asking for it” Jonathan Fianu, Director at PredictX [A.I] & entrepreneur says: “The design of the Daneel beta app in particular stood out as being well styled and fluid. I see real value in the daily news feed and market sentiment update.” Here is how Daneel will help crypto users: News curation: global and per currency Market sentiment: global and per currency Education: through a daily learning program and by asking Daneel in the chatbox Market insights: current trends and price prediction. Market data: prices, volumes, basic information on currencies, ratings, best rates on exchanges, events, biggest gainers/losers. Beyond the standard use cases through the Mobile App, the platform is also designed to benefit key stakeholders in the background such as exchanges, banks, VCs and professional traders. Overall, by providing these ‘background’ partnerships in conjunction with standard user- facing personal assistant, Daneel is not only a complimentary companion to users trading on a cryptocurrency exchange; but is already designed to interface with existing platforms that enable Daneel to have a more macro-level impact. This is possible thanks to the integration of a Daneel Widget or by using Daneel’s data flow through an API enhancing the stakeholder’s services offering. Links: AppStore Playstore Website Contact information: Website Harold Kinet B2B General Request The post Your personal assistant in cryptocurrencies powered by IBM Watson takes the plunge! appeared first on AMBCrypto.

Report: NIST to use IBM’s Watson AI system to score vulnerabilities

The U.S. National Institute of Standards and Technology (NIST) reportedly plans to replace its method of scoring publicly disclosed vulnerabilities with a new automated process leveraging IBM’s Watson artificial intelligence system. The agency expects Watson to supplant its current Common Vulnerability Scoring System (CVSS) process for most bugs by October 2019, according to a report from Nextgov, citing Matthew Scholl, chief of NIST’s computer security division. IBM has confirmed this account to SC Media, which has also reached out to Scholl for additional comment. A key advantage of using AI is that it should ease the burden of NIST analysts who are currently tasked with reviewing thousands of vulnerabilities every week. “Artificial Intelligence is solving the manual effort problem that many organizations face. For security leaders, it’s important to know that not all AI is equal, but when the right choice is made, the benefits from a time, cost, and resource perspective can be immense,” said George Wrenn, CEO at CyberSaint Security, a company specializing in automated intelligent cybersecurity compliance. “It is no surprise NIST is delving into this area,” he added in emailed comments. Reportedly, Watson participated in a pilot program earlier this year in which it processed hundreds of thousands of older vulnerabilities and corresponding CVSS scores, and then asked to score new vulnerabilities based on that precedent. Whenever the new bug was similar to a previously studied vulnerability, Watson fared very well, scoring the flaw similar to how a person would. But if the bug was something unique or highly complex, like the Spectre vulnerability that was discovered earlier this year, Watson reportedly struggled. As a fail-safe for this issue, Watson will produce a confidence percentage for each score. If the AI engine’s confidence percentage falls under the high 90s, the human analyst will take over the review, and edit the risk score accordingly. Gabriel Gumbs, VP of product strategy at STEALTHbits Technologies, said in emailed comments that NIST’s use of Watson holds even more potential. “Applying AI, and in particular Watson to the scoring of vulnerabilities will be useful for keeping up with the increased NIST workload; however, I don’t foresee this addressing the issue of organizations still not patching their systems in time,” said Gumbs. “In theory, the ranking of vulnerabilities helps prioritize which systems in first and how soon those patches are applied. I believe this program could go a step further and score both the inherit risk, and the residual risk of vulnerabilities when other controls are in place. This would allow for real-world patch prioritization scenarios where organizations can apply controls that can be rolled out faster than a patch, and in cases where patches do not [yet] exist still reduce their exposure.” The post Report: NIST to use IBM’s Watson AI system to score vulnerabilities appeared first on SC Media.
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CEO Of John McAfee’s Team, Jimmy Watson, to Lead McAfee Alliance Initiative

In a series of Tweet, Jimmy Watson, the CEO of Team McAfee has announced that he will be launching McAfee Alliance, “in the name of crypt.” Corruption must be added to the list of these three exchanges: @hitbtc @kucoincom @BitZExchange we have alliances joing @McAfeeAlliance in the name of crypt! I ask all leaders and many others to have an honest voice for the presidential world stage. @newsbtc — Jimmy Watson (@McAfeeExecutive) August 30, 2018 Although no official announcements have been made, Jimmy has said that he’ll be posting a link to McAfee Alliance Agreement. He urged the people who want to be a member of the alliance to carefully read the agreement before signing. .@TheCryptomist was referenced as an incredible crypto influencer; the example of who @mcafeealliance! Fox Business News @newtothestreet joined the alliance to name a few! I will post link to McAfee Alliance Agreement. To be member read carefully, but do not sign if not ready! — Jimmy Watson (@McAfeeExecutive) August 30, 2018 He said big names like Fox Business, KuCoin, HitBTC, BitZ and much more are joining the alliance. The alliance agreement releases within 24hrs and Fox Business News has joined! Once this gets rolling it will make good examples of @kucoincom @hitbtc @BitZExchange its not to late to save your exchange, if only pride did not exist. Two of you will Say I’m bluffing? One will not. — Jimmy Watson (@McAfeeExecutive) August 30, 2018 Jimmy has asked multiple times for truce in the crypto ecosystem. “How can you fight within your ranks when your fort is besieged by stronger enemy?”, he said. How can you fight within your ranks when your fort is besieged by stronger enemy? You said it best: “Don’t confuse them with all that tech talk.” Please do not spread strife or attack each other. If @Bitfi6 is against @LedgerHQ or crypto X is against crypto Y CEASE FIRE!! — Jimmy Watson (@McAfeeExecutive) August 30, 2018 Even John McAfee recognized his CEO’s efforts and said, “He has battled on several fronts and his story of struggle and overcoming governmental corruption is hard to believe, until verified it myself. He knows what he's doing and he has strategy to unite from the heart not with greed!” CEO Jimmy Watson is opening @McAfeeAlliance! He has battled on several fronts and his story of struggle and overcoming governmental corruption is hard to believe, until verified it myself. He knows what he's doing and he has strategy to unite from the heart not with greed! — John McAfee (@officialmcafee) August 30, 2018
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WatermelonBlock Uses IBM Watson AI for Sentiment Crypto Market Analysis

Understanding how the cryptocurrency market thinks and feels, can lead to much brighter investment decisions, suitable for all investors and their afferent lifestyles. WatermelonBlock represents a platform that harnesses AI and Big Data technology, to create cutting-edge sentiment analysis on the crypto market, displayed in an intuitive manner. Disclosure: This is a Sponsored Article Now, WatermelonBlock has announced a partnership with the IBM Watson AI, which is a ground-breaking, cloud-computing platform capable of scanning, weighting, categorizing and analysing big sets of data within seconds. Via the partnership, WatermelonBlock will leverage the Watson AI resources, alongside its proprietary algorithms, to help compute an index score and percentage for all cryptocurrencies and ICO tokens. The sentiment analysis stands for studying the influence of opinions present on the market, to learn more about how it thinks, feels and reacts to stimuli. Watson AI will help the platform efficiently read and categorize big data sets, and determine their social influence, and potential reach. In other words, WatermelonBlock grants individuals the ability to stay on top of investment information, for quicker and smarter investment decisions. In a recent press statement, Boris Manitius of IBM Cloud, mentioned: “IBM is extremely excited to partner with WatermelonBlock (…) Through this partnership, WatermelonBlock’s dedicated team of data scientists, will work with IBM industry experts and IBM state of the art equipment to develop, test and monitor a system that will augment WatermelonBlock’s current environment”.   This means that once the system is fully deployed, investors will no longer need to dedicate large amounts of time, and mental resources to constantly read, understand and analyse the market by themselves. Following the announcement, Elliot Rothfield, the co-founder of WatermelonBlock mentioned: “Through this partnership, WatermelonBlock and IBM can provide investors with real-time actionable insights and detailed contextual analysis at the press of a button, making the user experience easy from start to finish.” Based on everything that has been outlined so far, WatermelonBlock will provide actionable, real-time investment insight via its algorithms and the IBM Watson AI. As part of its future phase II implementation, machine learning will be leveraged to understand behavioral finance, and sentimentally analyse big data sets.
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Bitcoin Struggles As BAT And ETC Lead The Charge

The cryptocurrency market has somewhat stabilized, presenting a predominantly green landscape as Bitcoin struggles to stay above the psychological $10,000 marker.   Cryptocurrency Market Situation. Source: Coin360   Sentiment for Bitcoin has seen a moderate improvement towards a strongly neutral outlook.   Bitcoin Sentiment Chart by   Despite this overall lukewarm performance, proponents of Bitcoin’s store of value potential have reason to rejoice today. According to a report by Digital Asset Data, BTC is increasingly gaining correlation with the broader asset markets – positively with gold, and negatively with the stock market. With a recession looming on the global economy, Bitcoin could fulfill the role of a “safe haven asset,” to which investors flock during uncertain economic times. Altcoins see recovery with ETC and BAT leading The rest of the cryptocurrency market is seeing strong corrections from yesterday’s fall, with two strong outliers making significant gains. Basic Attention Token is strongly reacting to its new listing on Kraken, a popular exchange part of Weiss Ratings’ Real 10 index of platforms reporting true volume. BAT has gained more than 15% on yesterday’s price, while curiously its partner-in-listing WAVES has registered a much more modest 4%. The stark difference can be explained by the contribution of other fundamental drivers, with BAT recently launching the much-anticipated online tipping feature in its browser.   BAT Recent Price Trend. Source: CoinMarketCap   The other outlier is none other than Ethereum Classic, which after an against-the-grain rally on Tuesday has continued today with a 14.6% gain. The total 7-day performance is a solid +21%, by far the highest in the top-50. As before, it’s difficult to give a meaningful explanation of the rally. The upcoming ETC Atlantis hard fork is scheduled in about 22 days, too far ahead to justify any price action, though the final confirmation was released on Monday. The run is likely to be due to a combination of factors, including possible whales entering ETC positions. The rest of the altcoin market is seeing moderate recoveries, with IOTA, TRON and Cardano gaining 8%, 6.32% and 6.42% respectively as the rest average on 3-4%.   The post Bitcoin Struggles As BAT And ETC Lead The Charge appeared first on Crypto Briefing.

Casa Unveiled Node Monitor Service to Leapfrog Bitcoin Network Health

Coinspeaker Casa Unveiled Node Monitor Service to Leapfrog Bitcoin Network HealthA famous crypto startup firm recognized as Casa that offers primary management service, and Bitcoin node machine has launched a node monitor as well as accompanying reward program to develop Bitcoin network health.The firm revealed the latest innovation in an official website article on Aug. 21. Per the announcement, the node monitor known as Node Heartbeats depends on creating a brief relationship between the server of Casa plus, an internet synced and Tor-activated node owned by a user. The rewards program enables Casa node subscribers to earn 10,000 SatsBack weekly in exchange for operating 5 Node Heartbeat checks weekly, on separate days.SetBack can reportedly be converted for Bitcoin (BTC) just once per day on Keymaster app for Casa, as long as a consumer has garnered a minimum of 50,000 SatBack points. According to the report, Casa is firmly convinced that it`s hectic for consumers to keep up with the trend on their node`s uptime as well as security. By offering an inducement program to leapfrog node health, the firm reportedly expects to enhance the overall health of the Bitcoin network.How the Node Heartbeat OperatesTo verify that node is online, the company makes a concise link from their server to the users Casa Node. For this to be manageable, the user`s node must be synced, online, and with Tor activated. But with Tor, that indicates the node Heartbeat secures user`s privacy.Speaking of privacy, the Node Heartbeat only utilises the connection code of the consumer-the same code that is already existing in explorers and that which the consumer release to others who are willing to launch a channel with them. Sats App automatically submits the code for the users when they send a Heatbeat to saves them from the agony of looking it up.Guess Who Is The Latest Casa Investor?Charlie Lee, Litecoin (LTC) founder revealed just three days ago that he has heavily invested in Casa. He went ahead to praise Casa for spearheading BTC acceptance, indicating:“I have the same feeling about Casa today as I had about Coinbase when I joined in 2013 as the 3rd hire. Casa is making Bitcoin easy to use, and that is extremely important for this space. Looking forward to great things!”New Node Monitor by Lightning LabsAs initially reported by Cointelegraph that the designer of the high-speed transaction protocol Lightning Network, Lightning Labs recently unveiled an alpha version of a node monitor. The invented device, called Indmon, allegedly enables nodes operators to supervise node functions in real-time. Network cases this year reportedly influenced the developers to design a tool for preemptively detecting network and node issues.Casa Unveiled Node Monitor Service to Leapfrog Bitcoin Network Health

Gemini Exchange Launches In Australia in Effort to Expand its ‘Crypto Needs Rules’ Brand

One of the most prominent exchanges, Gemini which is owned by Winklevoss Twins is now available for Australian crypto users. “Cryptocurrency is the future of money, and we're committed to building a bridge to that future in Australia.” – @tylerwinklevoss We are thrilled to announce that starting today, we are operational in Australia 🇦🇺 Read […]
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Tether to Launch RMB Stablecoin "CNHT"? CryptoNews

Tether is rumored to launch RMB Stablecoin. Such a move could land crypto in serious trouble in China as the RMB is tightly controlled and regulated. Binance Venus is also on its tails. Ukranian miners accidentally leak sensitive Nuclear Powerplant data. #Cryptocurrency #crypto #Tether RMB Stable Coin 👍🏻Subscribe to Boxmining for Cryptocurrency Insight and News: 🔒Hardware Wallet: 👍🏻Brave Browser: 📲Enjin Wallet: 👍🏻Unstoppable Domain: 📲Binance Exchange : #Bitcoin #Ethereum #Cryptocurrency ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● Telegram groups (Discuss Crypto with us!) Telegram Discussion Group: Telegram Announcements: ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● ♨️Social (Add me on Social Media!) Instagram: Twitter: Facebook: Steemit: ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● I'm not a professional financial adviser and you should always do your own research. I may hold the cryptocurrencies talked about in the video. ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬●

Kraken To List Basic Attention Token (BAT) and Waves

Kraken has announced they will be listing BAT and WAVES, with pairs denominated in USD, EUR, BTC, and ETH. Trading commences at 13:30 UTC on August 22, 2019, and deposits will take 30 and 10 confirmations before being credited to users Kraken balances for BAT and WAVES, respectively, August 21, 2019. Kraken Expands Altcoin OfferingsRead MoreRead More. The post by Ashwath Balakrishnan appeared first on BTCManager, Bitcoin, Blockchain & Cryptocurrency News\
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