The cryptocurrency market was attacked by the bear, causing most major coins to fall. Cardano [ADA] reported fall of 9.63% over 24 hours, followed by Stellar Lumens [XLM] and Bitcoin Cash [BCH].
At press time, ADA was valued at $0.0764 with a market cap of $1.98 billion. The 24-hour trading volume of the coin was noted to be $136 million, as it noted a fall of 9.63% over the past day. Over the past seven days, ADA fell by 18.79% and continued to fall by 1.48% over the hour.
The coin was highly traded on ZBG exchange, with a trading volume of $67 million via ADA/USDT pair. The second place was taken bu Huobi Global, with a volume of $38 million via ADA/USDT pair. Huobi Global was followed by Binance, as it reported a trading volume of $16 million via ADA/BTC pair.
Stellar Lumens [XLM]
XLM noted a fall of 8.38% over the past day and was valued at $0.1222. The market cap of the coin was $2.35 billion, with a 24-hour trading volume of $412 million. Over the past seven days, XLM fell by 16.15% and went on the fall by 1.22% within an hour.
The exchange to highly trade the XLM/USDT pair was BW.com, as it reported a trading volume of $43 million. The second and third place were taken by LATOKEN with XLM/BTC and XLM/ETH pairs, respectively. XLM/BTC pair reported a trading volume of $40 million
Bitcoin Cash [BCH]
Bitcoin Cash [BCH] fell by 7.25% over the past day and was valued at $385.58. The market cap of the coin was noted to be $6.86 billion, with a trading volume of $2.53 billion. The coin fell by 7.49% over the past week and continued to fall by 1.32% within the hour.
The coin was highly traded on OEX with BCG/USDT pair, as it reported a trading volume of $259 million. The second place was taken by CoinBene via BCHABC/USDT pair, with a trading volume of $213 million. The third place was taken by OkEX, with a volume of $189 million via BCH/USDT pair.
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XRP TipBot comes back online after a tiny downtime; Nothing to be worried about, says Wietse Wind
XRP TipBot’s website and the corresponding application suffered a downtime on June 23, 2019 for a few hours, during which the application wasn’t showing the balance of users. The website and the API for TipBot instead, displayed a “500 Internal Error.”
A Twitter user, @BlueNETGaming, tweeted Wietse Wind, inquiring the same. Wind confirmed that it was just an “infrastructure blip,” and that there was nothing to be worried about.
Oops! Sorry! Infrastructure blip. Really easy fix but I enjoyed an offline afternoon with my girls 😇 So I only found out after some time, when I checked my phone. Monitoring, messages, calls 😇 Social media tips went through during the downtime. Sorry! 😆
— Wietse Wind (@WietseWind) June 23, 2019
XRP TipBot is probably the first and most widely accepted use-case of XRP. It leverages the transaction settling time of XRP Ledger to make tipping easy among peers on Twitter, Reddit, and other platforms, and this was the brainchild of developer Wietse Wind.
After TipBot, a lot of other cryptocurrencies have tried to mimic this idea of facilitating tipping; an example being Bitcoin’s, Tippin.Me which leveraged Lightning Network for tipping users. Although successful, it isn’t as popular as Wind’s TipBot.
The reason behind the same is that XRP Ledger allows transaction settlement in under 5 seconds, which makes tipping fast and efficient, unlike Bitcoin’s transactions which take a few minutes for transactions to be confirmed.
This is same reason why XRP is being used as a liquidity provider for cross-border payments in Ripple’s proprietary product, xRapid.
XRP community is a tightly-knit community with people who are very bullish about XRP’s success. There are equally talented developers in the community who are developing apps that help create more use-cases for XRP.
SchlaubiDev is one such developer known for developing plugins for Gmail and Microsoft Office, plugins that allow a user to send XRP over e-mails.
Ripple has identified Wind and his team’s talent and inducted them into Xpring, which finances them to help develop more community-based apps for increasing XRP use-cases.
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