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Xrpiet

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  1. @JASCoder @jbjnr, any insights on current ODL usage? It seems like last few weeks were pretty good given the turbulent times we are in. I appreciate both your insights thus far, since ODL is what I think will drive the price some day, but it is still a bit of a black box for me.
  2. https://dailyhodl.com/2020/03/29/coinbase-ripple-and-binance-exempted-from-holding-payments-license-in-singapore-until-summer/ The full list of firms can be found here: https://www.mas.gov.sg/regulation/payments/entities-that-have-notified-mas-pursuant-to-the-ps-esp-r
  3. One can listen to it here (click "Start Free Preview"). https://player.siriusxm.com/on-demand-episodes/9359/a2c34cd9-2e51-dde9-d8b2-41ed4817ae44/audio/page-name%3Dedp_episodes&showGuid%3Da2c34cd9-2e51-dde9-d8b2-41ed4817ae44 Interview with Asheesh Birla starts at 21:25. He mentions that Moneygram is currently using XRP for 10% of its USD->MXN flow, which may or may not be new information, I'm not sure what the latest figure was.
  4. https://ripple.com/insights/siam-commercial-bank-drives-innovation-and-customer-growth-with-help-from-ripple/ No XRP mentioned in this article.
  5. I, for one, love this part of the forum. As a long-time lurker and not a trader, at the very least topics like these provide me with distractions and pointers to what might happen. The fact that @Molten, @Eric123 and the likes provide their insights for free is something that I value a lot, so thank you all for that. I personally am still very bullish on XRP and crypto in general, but that is not based on anything other than gut feeling.
  6. https://ripple.com/insights/ripple-helps-sentbe-increase-financial-inclusion-for-migrants-in-korea-with-more-efficient-remittances/ No XRP (yet?), but good news nonetheless.
  7. The 'liquidity index' that is calculated there is a metric that should be taken with a grain of salt. It is basically defined as follows: Given the last 28 days of data, what would the volume be if volatility were 0? Here, 'volume' simply keeps track of all volume through a corridor (so not necessarily ODL), and 'volatility' is (high_price-low_price)/mean_price. The model assumes a linear relationship between volume and volatility: if volatility increases with a factor 2, it expects twice as much volume as well. Since the last couple of days were highly volatile (up to 4x as much so as before, see chart), but volume did not increase by that same factor, this drags down the expected volume for a volatility of 0 (which is the 'liquidity index'). Moreover, one extreme day in terms of volatility or volume impacts the next 28 data points, so that is why things appear more extreme than they probably are.
  8. @jbjnr, where did you get your data from? I look forward to analyzing it myself as well.
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