Bitcoin and Alt Coins – Cryptocurrency News

  • So uhh... where'd all the r/EthTrader Mods go?
    by /u/HodlDwon on August 18, 2019 at 8:55 pm

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  • Satoshi Nakamoto reveal. Assuming fake does anyone know if this is legit?
    by /u/LaminatedEgg on August 18, 2019 at 8:23 pm

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  • Adventures of Colin LeMahieu (Coming soon)
    by /u/nanoissuperior on August 18, 2019 at 6:52 pm

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  • US Delegation to visit Switzerland to discuss Libra
    by /u/cryptotapas on August 18, 2019 at 6:19 pm

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  • COAC says the US Customs should 'facilitate Blockchain' and provides recommendations
    by /u/cryptotapas on August 18, 2019 at 5:26 pm

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  • BTC Maximalists Call for War: Memes, Trolling, Hoping to Crush, Submit Perceived Enemies
    by /u/afriendofsatoshi on August 18, 2019 at 5:06 pm

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  • JP Morgan's Involvement with Jeffrey Epstein
    by /u/SuperSiayuan on August 18, 2019 at 4:42 pm

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  • The Real Benefits of Blockchain Are Here But They're Being Ignored
    by /u/coinmarketguru on August 18, 2019 at 3:13 pm

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  • Everyday dilemmas in crypto..
    by /u/satoshiyumyum on August 18, 2019 at 2:45 pm

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  • New Zealand just became the first country to legalize salary payments in cryptocurrencies (BTC) | Markets Insider
    by /u/kirby__000 on August 18, 2019 at 2:35 pm

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  • Why Australian tax Authority Warns Retirees Against Risky Cryptocurrency Investments?
    by /u/Deebabitcoinair on August 18, 2019 at 2:20 pm

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  • Smart Contract Guide for Blockchain and Cryptocurrencies
    by /u/fongedan on August 18, 2019 at 2:03 pm

    Smart Contract Guide for Blockchain and Cryptocurrencies. Understand what is Smart Contract, learn about its objective, how does it work with blockchain and why is it needed. https://cryptoguide.ch/blockchain/smart-contract.html submitted by /u/fongedan [link] [comments […]

  • You here also because of "technology"?
    by /u/RideYourChart on August 18, 2019 at 12:55 pm

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  • "there is no system today which can promise all three, despite an epidemic of systems making such promises"
    by /u/Buttoshi on August 18, 2019 at 11:20 am

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  • Saifedean Ammous: "Bitcoin Is a Monetary Batman"
    by /u/Roy1984 on August 18, 2019 at 10:25 am

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  • Andreas Antonopoulos on giving ‘illegals’ a bank account: “you shouldn’t, We Will”
    by /u/coinsmash1 on August 18, 2019 at 10:21 am

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  • The scientist who's built a $2 billion nonprofit to end big tech's monopoly
    by /u/samball12 on August 18, 2019 at 9:42 am

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  • Monolith partners with decentralized finance heavyweights to spend MKR, DGX and DGD anywhere that accepts Visa | CryptoSlate
    by /u/Token_Brice on August 18, 2019 at 9:36 am

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  • A new shop appeared this year in Ibiza town
    by /u/iMil on August 18, 2019 at 8:44 am

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  • Something Is Fishy About the SEC and Physically Backed Bitcoin Futures
    by /u/chrysotileman on August 18, 2019 at 8:42 am

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  • Examining Ethereum 2.0: This Is Not Your Granny's Blockchain
    by /u/Costoffreedom on August 18, 2019 at 2:43 am

    submitted by /u/Costoffreedom [link] [comments […]

  • "It all makes sense when you realize there is a organized effort to attack anyone who is not a maximalist" - Ryan Sean Adams on Twitter
    by /u/aminok on August 18, 2019 at 2:22 am

    submitted by /u/aminok [link] [comments […]

  • Daily Discussion - August 18, 2019 (GMT+0)
    by /u/AutoModerator on August 18, 2019 at 12:15 am

    Welcome to the Daily Discussion. Please read the disclaimer, guidelines, and rules before participating. Disclaimer: Though karma rules still apply, moderation is less stringent on this thread than on the rest of the sub. Therefore, consider all information posted here with several liberal heaps of salt, and always cross check any information you may read on this thread with known sources. Any trade information posted in this open thread may be highly misleading, and could be an attempt to manipulate new readers by known "pump and dump (PnD) groups" for their own profit. BEWARE of such practices and exercise utmost caution before acting on any trade tip mentioned here. Rules: All sub rules apply in this thread. The prior exemption for karma and age requirements is no longer in effect. Discussion topics must be related to cryptocurrency. Comments will be sorted by newest first. submitted by /u/AutoModerator [link] [comments […]

  • Coinbase: Institutional Folks Buying $200-400M Worth Crypto A Week
    by /u/coinheavennet on August 17, 2019 at 10:26 pm

    submitted by /u/coinheavennet [link] [comments […]

  • I've reproduced 130+ research papers about "predicting bitcoin", coded them from scratch and recorded the results. Here's what I've learnt.
    by /u/chiefkul on August 17, 2019 at 4:45 pm

    ok, so firstly, all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict bitcoin" or "predict stock market" or "predict forex" and terms related to those. ​ Next, I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether. ​ Then, Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think! ​ THEN, Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of. ​ Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at. ​ Oh, and one more thing. All of this work took about 7 months in total. ​ Right, let's jump in. ​ So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things. ​ Here are the categories: News Text Mining. - This is where they'd use NLP on headlines or the body of news as a signal. Social data - Twitter Sentiment/Google Search/Seeking Alpha. Again, some were NLP, for google trends they just used the data. Technical Analysis & Machine Learning together. Most of these would take the price, add TA features, then feed into a ML model. Other machine learning (as in, not using TA). Just using the price and some other engineered features. Analyst Recommendations. Literally just taking the recommendations from banks/brokers and using that as the signal. Fundamental data. So ratios from the income statement/balance sheet, ​ Results: Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears. ​ Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. 🙂 ​ Now, results from the two most popular categories were: *Social data.*A lot of research papers were extensions of or based off of a paper by Johan Bollen called "Twitter mood predicts the stock market". It literally has 3,955 citations and is complete and utter horse shit; the paper is p-hacking to the extreme. Not only could I not reproduce the results, but given the number of sentiment indicators he uses I regularly found correlations between sentiment and my data based on how I engineered it. None of these correlations held over longer time periods. Every paper that's a derivative of this one or cites it has the same issues. *Technical analysis & machine learning.*Every paper would do something along the lines of.. take past price data for some asset (stocks, forex), then add technical analysis indicators as "features". Then either they'd run through a feature-selector that figures out the best features then put the best ones into a model OR they'd dump this data straight into the model and afterwards select the subset of instruments that it "worked" on. None of these would hold if you k-fold test them or test on different subsets of data outside of the ones used in the paper. The results are always based off of selecting favourable subsets of data. ​ The most frustrating paper: I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think). ​ The two positive take-aways that I did find from all of this research are: Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future). When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods. ​ Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort. ​ So in conclusion, if you're building trading strategies, simple is good 🙂 ​ Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms. ​ ​ EDIT: in case anyone wants to read more from me I occasionally write on medium (even though I'm not a good writer) submitted by /u/chiefkul [link] [comments […]

  • How it's made: Meme coins
    by /u/ngyekta on August 17, 2019 at 3:06 pm

    submitted by /u/ngyekta [link] [comments […]

  • Monthly Skeptics Discussion - August, 2019
    by /u/CryptoMods on August 11, 2019 at 7:30 pm

    Welcome to the Monthly Skeptics Discussion thread. The goal of this thread is to promote critical discussion by challenging popular or conventional beliefs. This thread is scheduled to be reposted on the 1st of every month. Due to the 2 post sticky limit, this thread will not be permanently stickied like the Daily Discussion thread. It will often be taken down to make room for important announcements or news. To see the latest Daily Discussion, click here. To see the latest Weekly Support, click here. Rules: All sub rules apply here. Discussion topics must be on topic, i.e. only related to skeptical or critical discussion about cryptocurrency. Markets or financial advice discussion, will most likely be removed and is better suited for the daily thread. Promotional top-level comments will be removed. For example, giving the current composition of your portfolio or stating you sold X coin for Y coin(shilling), will promptly be removed. Karma and age requirements are in full effect and may be increased if necessary. Guidelines: Share any uncertainties, shortcomings, concerns, etc you have about crypto related projects. Refer topics such as price, gossip, events, etc to the Daily Discussion. Please report top-level promotional comments and/or shilling. Resources and Tools: Read through the CryptoWikis Library for material to discuss and consider contributing to it if you're interested. r/CryptoWikis is the home subreddit for the CryptoWikis project. Its goal is to give an equal voice to supporting and opposing opinions on all crypto related projects. Consider changing your comment sorting around to find more critical discussion. Sorting by controversial might be a good choice. Share links to any high-quality critical content posted in the past week. To help with this, try reading through the Critical Discussion search listing. Click the RES subscribe button below if you would like to be notified when comments are posted. Thank you in advance for your participation. submitted by /u/CryptoMods [link] [comments […]