#Digitalticksapplication Trading Charts are graphic displays of current prices, trading volumes, and the overall momentum of the market. Its easy for Crypto traders to visualize & plan out the next move of the market
Where can i find charts that display trading volume of crypto in real time?
Is there a resource that has these statistics available? I'm trying to understand crypto better but I can't seem to find a website that displays various currencies or tokens' volumes traded on any given day on a chart or table. Any help is appreciated thx
Top Six Cryptos By Trade Volume Last 24 hours, Bitcoin is dominating, what is up with DASH?? Anyone know? From https://cryptowat.ch/cards/assets one of the best Crypto Charts around, powered by Kraken !
A huge congratulations to @VinDAXOfficial for being on top of the ladder @CoinMarketCap adjusted volume daily charts. BitBall (BTB) can also be traded on Vindax #crypto exchange against #Bitcoin #btc pair. Trade link👉 https://vindax.com/exchange-base.html?symbol=BTB_BTC
Here's the charts showing price change (in %) [left] and trading volume (in usd) [right] of top 10 crypto currencies in last 24 hours. Litecoin's price has jumped by more than 35% and its trading volume is close to that of Ethereum! Upcoming LitePay launch seems to be the reason.
You've probably been hearing a lot about Bitcoin recently and are wondering what's the big deal? Most of your questions should be answered by the resources below but if you have additional questions feel free to ask them in the comments. It all started with the release of the release of Satoshi Nakamoto's whitepaper however that will probably go over the head of most readers so we recommend the following videos for a good starting point for understanding how bitcoin works and a little about its long term potential:
Limited Supply - There will only ever be 21,000,000 bitcoins created and they are issued in a predictable fashion, you can view the inflation schedule here. Once they are all issued Bitcoin will be truly deflationary. The halving countdown can be found here.
Open source - Bitcoin code is fully auditable. You can read the source code yourself here.
Accountable - The public ledger is transparent, all transactions are seen by everyone.
Decentralized - Bitcoin is globally distributed across thousands of nodes with no single point of failure and as such can't be shut down similar to how Bittorrent works. You can even run a node on a Raspberry Pi.
Censorship resistant - No one can prevent you from interacting with the bitcoin network and no one can censor, alter or block transactions that they disagree with, see Operation Chokepoint.
Push system - There are no chargebacks in bitcoin because only the person who owns the address where the bitcoins reside has the authority to move them.
Low fee scaling - On chain transaction fees depend on network demand and how much priority you wish to assign to the transaction. Most wallets calculate on chain fees automatically but you can view current fees here and mempool activity here. On chain fees may rise occasionally due to network demand, however instant micropayments that do not require confirmations are happening via the Lightning Network, a second layer scaling solution currently rolling out on the Bitcoin mainnet.
Borderless - No country can stop it from going in/out, even in areas currently unserved by traditional banking as the ledger is globally distributed.
Portable - Bitcoins are digital so they are easier to move than cash or gold. They can even be transported by simply memorizing a string of words for wallet recovery (while cool this method is generally not recommended due to potential for insecure key generation by inexperienced users. Hardware wallets are the preferred method for new users due to ease of use and additional security).
Bitcoin.org and BuyBitcoinWorldwide.com are helpful sites for beginners. You can buy or sell any amount of bitcoin (even just a few dollars worth) and there are several easy methods to purchase bitcoin with cash, credit card or bank transfer. Some of the more popular resources are below, also check out the bitcoinity exchange resources for a larger list of options for purchases.
Here is a listing of local ATMs. If you would like your paycheck automatically converted to bitcoin use Bitwage. Note: Bitcoins are valued at whatever market price people are willing to pay for them in balancing act of supply vs demand. Unlike traditional markets, bitcoin markets operate 24 hours per day, 365 days per year. Preev is a useful site that that shows how much various denominations of bitcoin are worth in different currencies. Alternatively you can just Google "1 bitcoin in (your local currency)".
Securing your bitcoins
With bitcoin you can "Be your own bank" and personally secure your bitcoins OR you can use third party companies aka "Bitcoin banks" which will hold the bitcoins for you.
If you prefer to "Be your own bank" and have direct control over your coins without having to use a trusted third party, then you will need to create your own wallet and keep it secure. If you want easy and secure storage without having to learn computer security best practices, then a hardware wallet such as the Trezor, Ledger or ColdCard is recommended. Alternatively there are many software wallet options to choose from here depending on your use case.
If you prefer to let third party "Bitcoin banks" manage your coins, try Gemini but be aware you may not be in control of your private keys in which case you would have to ask permission to access your funds and be exposed to third party risk.
Note: For increased security, use Two Factor Authentication (2FA) everywhere it is offered, including email! 2FA requires a second confirmation code to access your account making it much harder for thieves to gain access. Google Authenticator and Authy are the two most popular 2FA services, download links are below. Make sure you create backups of your 2FA codes.
As mentioned above, Bitcoin is decentralized, which by definition means there is no official website or Twitter handle or spokesperson or CEO. However, all money attracts thieves. This combination unfortunately results in scammers running official sounding names or pretending to be an authority on YouTube or social media. Many scammers throughout the years have claimed to be the inventor of Bitcoin. Websites like bitcoin(dot)com and the btc subreddit are active scams. Almost all altcoins (shitcoins) are marketed heavily with big promises but are really just designed to separate you from your bitcoin. So be careful: any resource, including all linked in this document, may in the future turn evil. Don't trust, verify. Also as they say in our community "Not your keys, not your coins".
Where can I spend bitcoins?
Check out spendabit or bitcoin directory for millions of merchant options. Also you can spend bitcoin anywhere visa is accepted with bitcoin debit cards such as the CashApp card. Some other useful site are listed below.
Mining bitcoins can be a fun learning experience, but be aware that you will most likely operate at a loss. Newcomers are often advised to stay away from mining unless they are only interested in it as a hobby similar to folding at home. If you want to learn more about mining you can read more here. Still have mining questions? The crew at /BitcoinMining would be happy to help you out. If you want to contribute to the bitcoin network by hosting the blockchain and propagating transactions you can run a full node using this setup guide. If you would prefer to keep it simple there are several good options. You can view the global node distribution here.
Just like any other form of money, you can also earn bitcoins by being paid to do a job.
You can also earn bitcoins by participating as a market maker on JoinMarket by allowing users to perform CoinJoin transactions with your bitcoins for a small fee (requires you to already have some bitcoins.
The following is a short list of ongoing projects that might be worth taking a look at if you are interested in current development in the bitcoin space.
One Bitcoin is quite large (hundreds of £/$/€) so people often deal in smaller units. The most common subunits are listed below:
one bitcoin is equal to 100 million satoshis
1,000 per bitcoin
used as default unit in recent Electrum wallet releases
1,000,000 per bitcoin
colloquial "slang" term for microbitcoin (μBTC)
100,000,000 per bitcoin
smallest unit in bitcoin, named after the inventor
For example, assuming an arbitrary exchange rate of $10000 for one Bitcoin, a $10 meal would equal:
For more information check out the Bitcoin units wiki. Still have questions? Feel free to ask in the comments below or stick around for our weekly Mentor Monday thread. If you decide to post a question in /Bitcoin, please use the search bar to see if it has been answered before, and remember to follow the community rules outlined on the sidebar to receive a better response. The mods are busy helping manage our community so please do not message them unless you notice problems with the functionality of the subreddit. Note: This is a community created FAQ. If you notice anything missing from the FAQ or that requires clarification you can edit it here and it will be included in the next revision pending approval. Welcome to the Bitcoin community and the new decentralized economy!
Necessary Disclaimer: no rule breaking intended. No price manipulation intended. I only want to share verifiable facts/links and my analysis. If I am doing anything against the rules please let me know and I will do my best to fix it ASAP. I trade crypto, including LINK, and I am currently short on LINK. This is not financial advice; this is just for my own record and to start a discussion for anyone who might want more transparency around LINK.
I believe there is a lot of misinformation, uncertainty, and unanswered questions about the LINK token, the Chainlink ecosystem, the SmartContract parent company. I also believe that LINK's current price is unjustified based on fundamental factors like usage/business case/current customers/future potential. So I'm raising some points and asking some questions. What is this post? Why should I care? How do I use it? Read or skim it. It's about the LINK token, the Chainlink ecosystem, and the parent company SmartContract. It's about why I believe the price of the LINK token may be currently driven mostly by hype and not backed by standard market fundamentals like usage/economics. Update 9 AUG: reorganizing, rewriting this post and moving supporting data/sources into "appendix" comments below on this post. The previous versions of this post and my comments elsewhere were too emotionally charged and caused more division rather than honest, evidence-based, productive discussion and I sincerely apologize for that. I have now rewritten it and will continue to update it.
Threshold signatures, staking, on-chain SLAs: How real are these, is there a roadmap, how will this benefit users, is there any evidence of users currently *wanting* to use chainlink but needing these features and actively waiting for Chainlink to launch these? Staking: for there to be a valid incentive for users to stake LINK, it has to return around 5% annually because anything substantially under that would have users putting their money elsewhere (https://www.stakingrewards.com/cryptoassets) (not counting speculative capital gains in terms of LINK's price, but price gain per token/coin applies to all other crypto projects as well). Currently, for stakable cryptos, around 30-80% of their total supply is staked, and a good adjusted reward is on the order of 5% as well (some actually negative, some 10%+). The promise of staking incentivises people to buy and hold more LINK tokens (again, many other crypto projects have staking already live). That 5% reward will ultimately have to come from the customers who pay Chainlink oracle nodes to use their services, so it's an extra 5% fee for them. Of course, in the near future, the staking rewards *could* be subsidized by the founders' reserve wallets. Threshold signatures: addressed below in a comment. On-chain SLAs: [TODO] Here's supposedly Chainlink's agile/project planning board. (TODO: verify that it is indeed Chainlink's, and then analyse it) https://www.pivotaltracker.com/n/projects/2129823
I manually traced EVERY single inbound transaction/source of funds for the above 4 (not counting #1 as 10 LINK is negligible). 2 & 3 are 99.99%+ genesis-funded, being ACTIVELY topped up by a genesis wallet, last tx 4 days ago, 500,000 LINK. #4 has been funded 36 times over the past year and a half (that's 36 manual exports and I did them all). They all come from the 0x27158..., 0x2f0acb..., and https://etherscan.io/token/0x514910771af9ca656af840dff83e8264ecf986ca?a=0x1f9e26f1c050b5c018ab0e66fcae8e4394eb0165 (another address like the 0x2f0acb that I went through and checked EVERY SINGLE inbound source of funds, and it's also >99.9% genesis-funded - one tx from Binance for 6098 LINK out of a total ~6,560,000 inbound LINK from genesis wallets), and two other addresses linked to Binance (0x1b185c8611d157a67d9a9d5261b0d2bd52c0bb78, 10,000 LINK and 0x039ac18afe298747c51c85e7c8f0d67c327f3883, 1,000,000 LINK) The 0x039ac... address funded the "Chainlink: Aggregator" address with 127,900 LINK, and the 0x1b185... with about ~9,600 LINK). So yes, it's technically possible that someone not related to Chainlink paid for the ETH / USD price feed because some funds do come from Binance. However, they only come from two distinct addresses. Surely for "240+" claimed partnerships, more than TWO would pay to use Chainlink's MOST POPULAR price feed? That is, unless they don't pay directly but to another address and then Chainlink covers this one from their own wallets. I will check if that's in line with Chainlink's whitepaper, but doesn't that throw doubt on the whole model of end-users paying to use oracles/aggregators, even if it's subsidized? I provide you this much detail not to bore you but to show you that I went through BY HAND and checked every single source (detailed sources in Appendix B) of funds for the OFFICIAL, Chainlink-listed "ETH/USD" aggregator that's supposedly sponsored by 10 DeFi partners (Synthetix, LoopSpring, OpenLaw, 1inch, ParaSwap, MCDEX, FuturesSwap, DMM, Aave, The Force Protocol). Yet where are the transactions showing that those 10 partners have EVER paid for this ETH/USD oracle? Perhaps the data is there so what am I missing? This ETH/USD aggregator has transferred out ~76,000 LINK to I guess the data providers in increments of .33 LINK. It has 21 data providers responding. I will begin investigating the data providers themselves soon. And those middle addresses like 0x1f9e26... and 0x2f0acb...? They have transferred out hundreds of thousands if not millions of LINK to exchanges. And that's just ONE price pair aggregator. Chainlink has around 40 of these (albeit this one's one of the more popular ones). SNX / ETH aggregator is funded 100% by genesis-sourced wallets, only 3 inbound transactions: https://etherscan.io/token/0x514910771af9ca656af840dff83e8264ecf986ca?a=0xe23d1142de4e83c08bb048bcab54d50907390828 Some random examples (for later, ignore these for now) *********** https://etherscan.io/token/0x514910771af9ca656af840dff83e8264ecf986ca?a=0x039ac18afe298747c51c85e7c8f0d67c327f3883 bought 1,000,000 LINK from Binance in Sept 12 & 15, 2019. (one of the possible funding sources for the ETH / USD aggregator example above) This address got 500,000 LINK from 0x27158... and has distributed them into ~5-10,000 LINK wallets that haven't had any out transactions yet https://etherscan.io/token/0x514910771af9ca656af840dff83e8264ecf986ca?a=0x5bcf3edc0bb7119e35f322ba40793b99d4620f1e ************** Another example with an unnamed aggregator-node-like wallet that was only spun up 5 days ago, Aug 5: https://etherscan.io/token/0x514910771af9ca656af840dff83e8264ecf986ca?a=0x2cbfd29947f774b8cf338f776915e6fee052f236 It was funded 2,000 LINK SOLELY by the 0x27158... wallet and has so far paid out ~500 LINK in 0.43 LINK amounts to 9 wallets at a time. For example, this is one of the wallets it cashes out to: https://etherscan.io/token/0x514910771af9ca656af840dff83e8264ecf986ca?a=0x64fe692be4b42f4ac9d4617ab824e088350c11c2#tokenAnalytics That wallet extremely consistently collects small amounts of LINK since Oct 2019. It must be a data provider because a lot of Chainlink named wallets pay it small amounts of LINK regularly. It has transferred out 20 times. The most recent transfer out: https://etherscan.io/token/0x514910771af9ca656af840dff83e8264ecf986ca?a=0xc8c30fa803833dd1fd6dbcdd91ed0b301eff87cf which then immediately transferred to the named "1inch.exchange" wallet, so I assume this was a "cash-out" transaction. It has cashed out via this address a lot. Granted, it also has transfer-out transactions that haven't (yet) ended up in an exchange wallet, eg https://etherscan.io/token/0x514910771af9ca656af840dff83e8264ecf986ca?a=0x88e5353a73f38f25a9611e6083de6f361f9b537b with a current balance of 3000 LINK. This could be a user's exchange wallet, ready to be sold, or could be something else. No way for me to tell as there are no out txs from it.
LINK overall transaction, volume, and tx fees
This is to understand how much $ moves through the LINK ecosystem through: nodes, data providers, reserve wallets, wallets linked to exchanges, others. A typical aggregator node tx (payout?): https://etherscan.io/tx/0xef9e8e6dd94ebe9bbac8866f18c2ea0a07408ced1aa77fa04826043eaa55e772 This is their ETH/USD aggregator paying out 1 LINK to each of 21 addresses. Value of 21 LINK ~= $210. Total eth tx fees: .233 ETH (~$88.5, ~42% of the total tx value. If LINK was $4.2 instead of $10, the tx fees would be 100% of the value of the tx). Transactions like this happen every few minutes, and the payout amounts are most often 0.16, 0.66, 1.0, and 2.0 Link. Chainlink’s node/job listing site, https://market.link, lists 86 nodes, 195 feeds, 801 jobs, ~1,080,000 job runs (I can’t tell if this is over the past 2 months or 1.5 years). Only 20 nodes have over 1000 job runs, and 62 nodes have ZERO runs. Usual job cost is listed as 0.1 link, but the overall payout to the nodes is 10-20 times this. The nodes then cash out usually through a few jump addresses to exchanges. Some quick maths: (being generous and assuming it’s 1mil jobs every 2 months = ~6mil link/year = $60,000,000 revenue a year. This is the most generous estimate towards link’s valuation I’ve found so far. If we ignore the below examples where on multi-node payouts the tx fees are more than the node revenue itself, then it’s almost in line with an over-valued (but real) big tech company. For example, one of the latest CHF/USD job runs paid 0.1 LINK to 9 addresses (data providers?) - total $14.4 payout - and paid 0.065 ETH ($24.5) in fees. That’s a $10.1 LOSS on a $14.4 revenue: https://etherscan.io/tx/0xa6351bab810b6864bfebb0f6e1e3bde3c8856f8aac3ba769dd2e6d1a39c0d23f Linkpool’s (one of the biggest node operators) “ETH-USD CryptoCompare” job costs 0.1 link and has 33 runs in the past 24 hours (once every ~44min), total ~78,000 runs since May 30 2019 (once every ~8min). https://market.link/jobs/64bb0845-c4e1-4681-8853-0b5aa7366101/runs (PS cryptocompare has a free API that does this. Not sure why it costs $1 at current link prices to access an API once)
Top 100 wallets (0.05% of ~186,000 total) hold 83% of tokens. 8 wallets each hold over 1% of total, 58 hold over 0.1%. Of these 58, 9 are named exchange/lending pool wallets. For comparison, for Tether (TUSD), the top 100 wallets (0.006% of ~1,651,000 total) hold 35.9% of the supply. 3 addresses hold over 1% of the supply and 135 hold over 0.1%. Of these 135, at least 15 are named exchange/lending pool wallets. LINK’s market cap is $3.5B (or $10B fully diluted, if we count the foundedev-controlled tokens, which we should as there's nothing preventing them from being moved at a moment's notice). Tether’s is $6.9B. Tether has 10 times more addresses and less distribution inequality. Both LINK and Tether are ERC20 tokens, and even if we temporarily ignore any arguments related to management/roadmap/teams etc, Tether has a clear, currently functional, single use case: keep 1 USDT = $1 USD by printing/burning USDT (and yet as of April 2019, only 74% of Tether's market cap is backed by real funds - https://en.wikipedia.org/wiki/Tether_(cryptocurrency))). Given that Chainlink's market cap is now 50% bigger than Tether's, surely by now there's AT LEAST one clear, currently functional use case for LINK? What is it? Can we *see* it happening on-chain?
Chainlink’s actual deliverable products
"What do I currently get for my money if I buy LINK 1) as an investor and 2) as a tech business/startup thinking of using oracles?” Codebase (Chainlink’s github has around 140-200,000 lines of code (not counting html/css). What else is not counted in this? Town crier? Proprietary code that we don't know about yet? How much CODING has Chainlink done other than what's on github? Current network of oracles - only ~20 active nodes - are there many more than the ones listed on market.link and reputation.link? If so, would be nice to know about these if we're allowed! Documentation - they have what seems like detailed instructions on how to launch and use oracle nodes (and much more, I haven't investigated yet) (TODO this part more - what else do they offer to me as an end consumer, and eg as a tech startup needing oracle services that I can’t code myself?)
Network utilization statistics:
Etherscan.io allows csv export of the first 5000 txs from each day. From Jul 31 to Aug 6 2020, I thus downloaded 30,000 tx from midnight every day to an average of 7:10am (so 24 hour totals are 3.34x these numbers if we assume the same network utilization throughout the day). (Summary of all LINK token activity on the ETH blockchain from 31.07 to 06.08, first 5000 txs of each day (30k total) shown Appendix A comment below this post.) If we GENEROUSLY assume that EVERY SINGLE transaction under 10.0 LINK is ACTUAL chainlink nodes doing ACTUAL work, that’s still under 0.1% of the LINK network’s total volume being used for ACTUAL ecosystem functioning. The rest is speculation, trading, node funding by foundedev wallets, or dumping to exchanges (anything I missed?) Assuming the above, the entire turnover of the actual LINK network is currently (18,422 LINK) * ($10/LINK) * (3.34 as etherscan.io’s data only gives first 5000 tx per day which averages to 7:10am) * (52 wk/year) = USD $31,995,329 turnover a year. Note: the below paragraph is old analysis using traditional stock market Price/Earnings ratios which several users have now pointed out isn't really applicable in crypto. I leave it for the record. Assuming all of that is profit (which it’s not given tx fees at the very least), LINK would need a PE ratio (Price/Earnings) of 100 times to justify its current (undiluted) valuation of $3.5 billion of 300 if you count the other 65% of tokens that haven’t been dumped by the founders/devs yet. For comparison, common PE ratios are 32 (facebook), 29 (google), 37 (uber), 20 (twitter on a good year), 10 (good hedge fund returning 10% annual).
Thoughts on DeFi & yield-farming - [TODO]
Why would exchanges who do their due diligence list LINK, let alone at a leverage? 1) that's their business, they take a cut of every transaction, overhyped or not, 2) they're not safe from listing openly bearish tokens like EIDOS (troll token that incentivized users to make FAKE transactions, response to EOS) https://www.coindesk.com/defi-yield-farming-comp-token-explained The current ANNUAL yield on liquidity/yield farming is something like 2% on STABLE tokens like USDC and TETHER which at least have most of their supply backed by real-world assets. If Chainlink LINK staking is to be successful, they'll have to achieve at LEAST that same 2% at end-state. IF LINK is in bubble territory and drops, that's a lot of years at 2% waiting to recoup losses.
SmartContract Team & Past Projects
Normally I don't like focussing on people because it leads too easily to ad-hominem attacks on personality rather than on technology/numbers as I've done above, but I came across this and didn't like what I saw. Steve Ellis, SmartContract's current CTO, co-founded and worked in "Secure Asset Exchange" from 2014 to 2016. They developed the NXT blockchain, issued 1,000,000,000 NXT tokens (remind you of anything?), NXT was listed end of 2013 and saw 3 quick 500%-1000% pumps and subsequent dumps in early in mid 2014, and then declined to . SecureAE officially shut down in Jan 2016. Then at some point a company called Jelurida acquired the rights to NXT (presumably after SecureAE?), then during the 2017 altcoin craze NXT pumped 300 times to a market cap of $1.8 BILLION and then dumped back down 100 times and now it's a dead project with a market cap of $13 million. https://www.linkedin.com/in/steveellis0606/ https://trade.secureae.com/ https://coinmarketcap.com/currencies/nxt/ https://www.jelurida.com/news/lawsuit-against-apollo-license-violations As an investor or business owner, would you invest/hire a company whose co-founders/CTO's last project was a total flop with a price history chart that's textbook pump-and-dump behaviour? (and in this case, we KNOW the end result - 99% losses for investors) If you're Google/Oracle/SWIFT/Intel, would you partner with them?
Open questions for the Chainlink community and investors:
Network activity: Are there any other currently active chainlink nodes other than those listed on market.link and reputation.link? If so, is there a list of them with usage statistics? Do they use some other token than LINK and thus making simple analytics of the LINK ERC20 token not an accurate representation of Chainlink’s actual activity? If the nodes listed on the two sites above ARE currently the main nodes, then
PR, partnership announcements: Why is the google tweet still pinned to the top of Chainlink’s twitter? Due to the frequently circulated Chainlink promotion material (https://chainlinkecosystem.com/) that lists Google as one of the key partners, this tweet being pinned is potentially misleading as there isn't anything in there to merit calling Google a "collaborator" or "partner" - just that blockchains/oracles *can* use Google's APIs (but so can most software in the world). Is there something else going on with the SmartContract-Google relationship that warrants calling Google a partner that we're simply not aware of yet?
By buying LINK, what backs YOUR money: If you have bought and currently hold LINK tokens, how comfortable are you that the future promise of your investment growing is supported on verifiable business and technological grounds versus pure, parabolic hype? If after reading this post you still are, I kindly ask you to reply and show how even one of the points I provided is either incorrect or not applicable, and I will edit my post and include your feedback in the relevant section as I have already done from other users.
What have I missed? Of course not 100% of what I've said is infallible truth. I am a real human, and I have plenty of biases and blind spots. Even if what I've provided is technically correct, there may be other much more important info that I've missed that eclipses what I've provided here. Ask yourself: if the current hype around LINK is indeed valid and points to a $100/$1000 future LINK price, then Where’s Chainlink’s missing financial/performance/usage evidence to justify LINK’s current valuation of $10+?
For your consideration, I have provided evidence with links that you can follow and verify, and draw your own conclusions. I have made my case as to why I believe the LINK token is currently priced much higher than evidence supports, and I ask you to peer-review my analysis and share your thoughts with me and with the wider LINK/crypto community. Thank you for your time, I realize this is a long post. All questions and feedback welcome, feel free to comment or PM. I won't delete/censoblock (except for personal threats, safety considerations etc). I am a real human but I am not revealing my true identity for obvious privacy/harassment reasons. (If anyone is wondering about my credentials ability to add 2+2 and work with basic spreadsheets: I have previously won a math competition in a USA state, I won an English-speaking country's physics olympiad, my university education is in mathematical physics/optimization engineering, and I worked for a few years in a global manufacturing company doing data analytics, obviously I'm not posting my CV here to verify that but I promise you it's the truth) I’m not looking to spread neither FUD, nor blind faith, nor pure hype, and I want an honest transparent objective discussion. I personally believe more that LINK is overvalued, but my beliefs have evolved and may continue to do so as I research more and understand more about Chainlink, LINK, Ethereum, DeFi, and other related topics, and as I incorporate YOUR feedback. If you think I haven't disclosed something, ask. As always, this is not financial advice and I am not liable for anything that may happen as a result of you reading this!
Deep Dive on the first Reddit Points, $DONUT Token 🍩 🍩 🍩Very Attractive, Low-Cap Opportunity 💎
DONUT TOKEN 🍩 🍩 🍩
$DONUT is an ERC20 token initially built at the behest of Reddit to trial out their Community Points initiative. Reddit is now scaling this up big time with the Reddit Scaling Bake-off. Once the winner is announced, DONUT will get some nice airtime. It has so far remained under the radar.
$DONUT has 3 core utilities; 1) used to purchase banner space in the 230,000+ member subreddit (this is a very attractive place to promote). DONUT used on the banner space is burned, marking the deflationary aspect of the tokenomics. 2) new tokens are issued on a periodic basis which is sent to active users of the community (they can HODL or sell to the continuous stream of advertisers). 3) DONUT holders can vote on proposals such as issuance reduction in the integrated AragonDAO, i.e. fully decentralised and community-run.
$DONUT has remained under the radar since launching on main-net. This is similar to many projects where the ecosystem and product are great but simply isn’t commercially focussed i.e. no business development or marketing team. In other words, it is purely community-run (and the community is starting to push it). We’ve also been in a bear market where many have kept their capital in ETH, BTC or other tokens. In the last 4 weeks, as predicted some time ago, DONUT is now seeing some serious interest in what I believe is the beginning of an interesting journey. Marketcap broke $800,000, price reached ATH of $0.01, volume/liquidity on Uniswap broke $100,000. This is still very early days for a token which has real utility in an ecosystem that will inevitably see a lot of traction during the bull market. Imagine holding a lot of DONUT now, and being the guy to sell to the flock of advertisers during the bull market?
Following this last point, there is a positive feedback loop to consider. The more users hear about DONUT, the more they will join the sub, the more they join the sub, the more valuable the banner is, the more valuable the banner is, the higher the price of DONUT, the higher the price of DONUT the more of deflationary it becomes (due to the burn-rate surpassing issuance-rate).
How likely is it more people will hear about DONUT? Well, right now some of Ethtrader’s most active users are earning about $3000 per month in DONUT. Can you imagine the headlines and media attention? “Ethtrader users earn $XXX in DONUT."
There is also the meme-coin element to factor in. I don’t like mentioning this because DONUT has actual use-case and is not a meme-coin in the traditional sense. But, let’s be honest, meme-ability / marketability are both very important. Dogecoin got to where it did with zero utility.
I am not saying that Reddit will roll out DONUT across their entire site. DONUT will be just for Ethtrader. Other subs can have their own token and use their own tokenomics. There are some examples already, like MOON & BRICK. Neither of these has tokenomics close to as attractive as DONUT and at the moment, there is no reason for them to accrue in value.
Fun fact,@cslarson(head moderator of ethtrader and founder of DONUTS as far as I can tell) was actually hacking on SourceCred before DONUTS happened. He, along with@lkngtnand@jvlusohad recently coded upcredaoat a hackathon, a project that mints ERC-20 tokens in an Aragon DAO according to Cred scores, when he got the call from Reddit offering support for prototyping DONUTS on ethtrader. Can’t blame him:) ... 👇👇👇
Funnily enough, this is actually an alpha: right now you can ‘farm DONUT’ by contributing to ethtrader through high-quality memes, discussions, comments etc. Just by being an active member of the community, you can earn DONUT 🍩 tokens which you can sell for real $ETH. I’ll explain later why people would want to buy DONUT. Or, you can HODL them, which is highly recommended. Based on the last rewards distribution (https://www.reddit.com/ethtradecomments/i48u9g/new_donuts_distribution/) if you earned a mere 100 or so Karma points in the sub, you would have received 10,000 DONUT tokens which you can then sell for ETH on a growing list of exchanges, namely Uniswap (which has growing liquidity). This is an example of what DeFi and Ethereum are all about and is one of the more significant community-focused projects. You have all sorts of crummy community tokens out there but none have the ecosystem to back them up. Don’t get me wrong, I’m not saying DONUT is a $LEND, $COMP, etc but it ticks all the boxes to be considered a moon-shot: meme-worthy, existing network effect, undeniable utility, Reddit-backing, AragonDAO support, and more. ... The Ethtrader Group is a 100% community-run subreddit-collective where the governance token DONUT 🍩is used to vote on proposals regarding tokenomics. Slashing supply, changing tokenomics and other decisions can be made in their AragonDAO with the more DONUT 🍩 you hold resulting in higher voting power. It makes sense that Aragon was used seeing as the lead developer Carlson was working on Credao (a similar concept) using Aragon before he was approached by Reddit to work on the very first iteration of their Community Points system before rolling it out across the entire platform. Source. Any member of the community can propose changes by first gauging sentiment through polls in the subreddit (something you need DONUT for by the way), following up with proposals in AragonDAO which require voting (again voting power is tied to DONUT holdings). ... Growth over time: DONUT 🍩 has thus far followed similar growth trajectories of projects that start out organic, community and product-focused and over time attract real interest, real activity and real growth. This is in opposition to projects that market first and deliver later. DONUT hasn’t marketed anything as the community has focussed internally during the bear market and the ecosystem is relatively new, which is why it isn’t already worth more. I have been trading crypto since 2011 and ALTs since 2014 and I’ve learned to spot these nuanced differences between projects, and the all-important signals. The DONUT token launched in its current state in Jan 2019 with a volume of $30 and a price of $0.0019. But I am going to focus on December 2019 as the start date for a number of reasons: first, due to some teething pains with the direction of Ethtrader & $DONUT some of the team split off, the Token also underwent a shift and you can see on the chart this early phase does not reflect any organic price action. So, starting from the latter date, looking at the chart, you can see an organic price development typical of many promising projects. Slow, steady accumulation, followed by sharper ups and downs with the bottoms rising upwards. I saw this same pattern on pretty much every organic-driven ALT I’ve invested in with success. In the last 2 weeks, ATHs have been broken across the board. ... Similar successes: Let’s face it. In our funky community, tokens of all kinds can grow astronomically. Even those without a single use-case can grow simply because they are meme-worthy. Think $DogeCoin or $Garlicoin. More recently you have $TEND which is growing in popularity and is currently worth $1 (when I first started writing this post, it was at $0.50. DONUT was at $0.005 and is now touching $0.01). DONUT 🍩 is unique in that it has potential to be a significant Ethereum meme token on par with these examples but more importantly, it also has tangible use-cases which will ensure the project remains active over a longer course of time, with accessibility open to anyone with spare time to meaningfully contribute to the community. But that isn’t the clincher. The Ethtrader group is large and getting larger with almost a quarter of a million members at the time of writing. That is a valuable audience of highly relevant people interested in cryptocurrency, especially Ethereum. DONUT 🍩is used in a Harbinger Tax style system (whereby someone would use DONUT to buy ad space from the current owner for a price set by that owner. This person would then set a new price — this will be the cost someone who wants it back will need to pay — and then based on this new price there will be a 100% daily tax for as long as you choose to hold the banner for). This adversarial system will ensure you have projects (typically with deep pockets) buying up lots of DONUT 🍩 to ensure they can control the banner, spending those DONUT tokens on getting the banner, and the process will continue over and over. If we enter a new bull market for DeFi, this will be a significant value and liquidity driver as let’s face it, that is prime real estate for brand exposure. I'll draw your attention back to the feedback loop I mentioned in the TL;DR.
📸IMAGE:https://imgur.com/a/CnFpfQr *note, this is just a quick thing I slapped together and shows just one process and one use-case and is not a comprehensive diagram. Hopefully, it is useful anyway. Deflationary or inflationary? The DONUT used to buy the banner is always burnt, currently, 3 Million DONUT is burned per month. While there is monthly issuance (the source of contribution rewards), there is also frequent burn events. Currently, the banner is burning 100,000 DONUT per day compared to the 4,000,000 issued per month. This daily burn can increase or decrease depending on the cost of the banner which can increase or decrease based on what the owner sets it as. This means when demand increases (exchanges, dapps, projects bid for the banner space), the burn rate will exceed the issuance rate, resulting in deflationary tokenomics. Conversely, if the cost of the banner decreases and is below the threshold (as it currently is, only slightly) then technically it will be inflationary. The deflationary dominance has already proven to be effective seeing as the token started out with 100m units and now on around 90m. Furthermore, the issuance rate can at anytime be slashed if put to a community vote which anyone in the community can initiate, so long as they own DONUT. So, DONUT is also used here as a governance token, the more you have the stronger your vote on such decisions. To use DONUT to vote on community initiatives or a change in the tokenomics, you’ll need to visit their integrated AragonDAO and learn more about the process. This can be found here: https://mainnet.aragon.org/#/0x57EBE61f5f8303AD944136b293C1836B3803b4c0 and is also where DONUT is claimed from.
Own DONUT now and be the one to sell it advertisers who will be in bidding wars with each other. Advertisers in this industry are used to ridiculous prices and the banner is very cheap at the moment.
The DONUT used for the ads will be burnt and the advertisers, of course, won’t get them back. This means a continuous BUY-pressure for DONUT.
As a DONUT holder, you will have voting power in their AragonDAO integration. What does this mean? We can submit proposals and vote on tokenomics to change, e.g. reduce supply.
We all know this space, right? On top of the concrete utility, DONUT could and will become a popular ‘meme-coin’. Previous examples of these (that lack utility) are Dogecoin & GarlicCoin.
If you were an exchange, would you pay $3k per day to reach all the ETH traders? (They currently spend so much more than that on useless CMC banners) If so, that’s $1m per year. For example, you’ve all seen the endless crypto . com banners right? They spend millions on marketing. I will wager all my DONUT that they will be serious bidders soon.
Some people are already earning $3000 a month on Ethtrader via donut. You can take a look at the latest distribution list here.
Media attention is practically assured and the number of new people tweeting and talking about DONUT is rising rapidly, just take a look at twitter, 4chan, reddit and other places. DONUT was also listed on CoinGecko and CoinMarketCap within the last mont.
I hope this was in-depth and useful. I have tried to add as much as possible but I have no doubt missed some stuff as well. As always, DYOR and make an informed decision. For me, at this price, it's a no brainer.
The fee schedule below provides the applicable rate based on the account's 30-Day Volume and if the order is a maker or taker. Bittrex Global Fee30 Day Volume (USD)MakerTaker$0k - $50k0.2%0.2%$50k - $1M0.12%0.18%$1M - $10M0.05%0.15%$10M - $60M0.02%0.1%$60M+0%0.08%>$100MContact TAM representative Trading expenses are incurred when an order is prepared by means of the Bittrex worldwide matching engine. While an order is being executed, the purchaser and the vendor are charged a rate primarily based on the order’s amount. The fee charged by Bittrex exchange is calculated by the formula amount * buy rate * fee. There aren't any charges for placing an order which is not being executed so far. Any portion of an unfinished order will be refunded completely upon order cancelation. Prices vary depending on the currency pair, monthly trade volume, and whether the order is a maker or taker. Bittrex reserves the right to alternate fee quotes at any time, including offering various discounts and incentive packages.
Your buying and selling volume affects the fee you pay for every order. Our expenses are built to encourage customers who ensure liquidity in the Bittrex crypto exchange markets. Your buying and selling charges are reduced according to your trade volume for the last 30 years in dollars. Bittrex calculates the 30-day value every day, updating every account's volume calculation and buying and selling charge between of 12:30 AM UTC and 01:30 AM UTC every day. You can check your monthly trade volume by logging in and opening Account > My Activity. https://preview.redd.it/n1djh2ob4zh51.jpg?width=974&format=pjpg&auto=webp&s=2eebb9c9ac63de207c4dd2e49bc45aeb53a8dec8
6. Withdrawing Funds
Withdrawing any type of funds is likewise simple. You can profit by buying and selling Bitcoin, Ether, or any other cryptocurrency. You determine the crypto address—to which the amount will be credited—and the transaction amount. The withdrawal fee will be automatically calculated and shown right away. After confirming the transaction, the finances will be sent to the specified addresses and all that you need to do is to wait for the community to confirm the transaction. If the 2FA is enabled, then the user receives a special code (via SMS or application) to confirm the withdrawal.
7. How to Trade on Bittrex Global
Currency selling and buying transactions are performed using the Sell and Buy buttons, accordingly. To begin with, the dealer selects a currency pair and sees a graph of the rate dynamics and different values for the pair. Below the chart, there is a section with orders where the user can buy or sell a virtual asset. To create an order, you just need to specify the order type, price, and quantity. And do not forget about the 0.25% trade fee whatever the quantity. For optimum profit, stay with liquid assets as they can be quickly sold at a near-market rate effective at the time of the transaction. Bittrex offers no referral program; so buying and selling crypto is the easiest way to earn. https://preview.redd.it/hopm6fih4zh51.jpg?width=1302&format=pjpg&auto=webp&s=68c0aaae86f64c3e6b9d351c3df2a9c331f94038
Bittrex helps you alternate Limit and Stop-Limit orders. A limit order or a simple limit order is performed when the asset fee reaches—or even exceeds—the price the trader seeks. To execute such an order, it is required that there's a counter market order on the platform that has the identical fee as the limit order.
Differences between Limit Order and Stop Limit Order
A stop limit order is a mixture of a stop limit order and a limit order. In such an application, charges are indicated—a stop charge and the limit.
Let’s discuss how you could trade conveniently with our service. The key features include a user-friendly interface and precise currency pair statistics (timeframe graphs, network data, trade volumes, and so forth). The platform’s top-notch advantage is handy, easy-to-analyze, customizable charts. There is also a column for quick switching between currency pairs and an order panel beneath the fee chart. Such an all-encompassing visual solution helps compare orders efficiently and in one place. You can use the terminal in a day or night mode; when in the night mode, the icon in the upper-right corner changes and notice the Bittrex trading terminal in night mode is displayed. The main menu consists of 4 sections: Markets, Orders, Wallets, Settings. Markets are the trade section. Bittrex allows handling over 270 currency pairs. Orders. To see all open orders, go to Orders → Open. To see completed orders, go to Orders → Completed. Wallets. The Wallets tab displays many wallets for all cryptocurrencies supported by the exchange and the current balance of each of them. After refilling the balance or creating a buy or sale order, you will see all actions in the section. Bittrex allows creating a separate wallet for every coin. Additionally, you can see how the coin price has changed, in terms of percentage, throughout the day. Here’s what you can also do with your wallets:
Hide zero balances: hide currencies with zero balance
Green and red arrows: replenish balance/withdraw funds
Find: search for a cryptocurrency
The Settings section helps manage your account, verification, 2FA, password modification, API connection, and many more.
How to Sell
The process of selling crypto assets follows the same algorithm. The only difference is that after choosing the exchange direction, you need to initiate a Sell order. All the rest is similar: you select the order type, specify the quantity and price, and click Sell *Currency Name* (Sell Bitcoin in our case). If you scroll the screen, the entire history of trades and orders will be displayed below.
LONG and SHORT
You can make a long deal or a short deal. Your choice depends on whether you expect an asset to fall or rise in price. Long positions are a classic trading method. It concerns purchasing an asset to profit when its value increases. Long positions are carried out through any brokers and do not require a margin account. In this case, the trader’s account must have enough funds to cover the transaction. Losses in a long position are considered to be limited; no matter when the trade starts, the price will not fall below zero with all possible errors. Short positions, in contrast, are used to profit from a falling market. A trader buys a financial instrument from a broker and sells it. After the price reaches the target level, the trader buys back the assets or buys them to pay off the initial debt to the broker. A short position yields profit if the price falls, and it is considered unprofitable the price matches the asset value. Performing a short order requires a margin account as a trader borrows valuable assets from a broker to complete a transaction. Long transactions help gain from market growth; short from a market decline.
Trade via API
Bittrex also supports algorithmic trading through extensive APIs (application programming interface), which allows you to automate the trading process using third-party services. To create an API key, the user must enable the two-factor authentication 2FA, verify their account, and log in to the site within 3 minutes. If all the requirements of the system are fulfilled, you can proceed to generate the API key. Log in to your Bittrex account, click Settings. Find API Keys. Click Add new key (Create a new key). Toggle on / off settings for READ INFO, TRADE, or WITHDRAW, depending on what functionality you want to use for our API key. Click Save and enter the 2FA code from the authenticator → Confirm. The secret key will be displayed only once and will disappear after the page is refreshed. Make sure you saved it! To delete an API key, click X in the right corner for the key that you want to delete, then click Save, enter the 2FA code from the authenticator and click Confirm.
Bittrex Bot, a Trader’s Assistant
Robotized programs that appeared sometimes after the appearance of cryptocurrency exchanges save users from monotonous work and allow automating the trading process. Bots for trading digital money work like all the other bots: they perform mechanical trading according to the preset parameters. Currently, one of Bittrex’s most popular trading bots is Bittrex Flash Crash Buyer Bot that helps traders profit from altcoin volatility without missing the right moment. The program monitors all the market changes in the market every second; also, it even can place an order in advance. The Bittrex bot can handle a stop loss—to sell a certain amount of currency when the rate changes in a favorable direction and reaches a certain level.
8. Secure Platform
Bittrex Global employs the most reliable and effective security technologies available. There are many cases of theft, fraud. It is no coincidence that the currency is compared to the Wild West, especially if we compare the 1800s when cowboys rushed to the West Coast of America to earn and start something new in a place that had no rules. Cryptocurrency is still wild. One can earn and lose money fast. But Bittrex has a substantial security policy thanks to the team’s huge experience in security and development for companies such as Microsoft, Amazon, Qualys, and Blackberry. The system employs an elastic, multi-stage holding strategy to ensure that the majority of funds are kept in cold storage for extra safety. Bittrex Global also enables the two-factor authentication for all users and provides a host of additional security features to provide multiple layers of protection. Bittrex cold wallet: https://bitinfocharts.com/en/bitcoin/address/385cR5DM96n1HvBDMzLHPYcw89fZAXULJP
Bittrex Global is a reliable and advanced platform for trading digital assets with a respected reputation, long history, and active market presence and development nowadays. The exchange is eligible to be used globally, including the US and its territories. The legal component of Bittrex Global is one of the most legitimate among numerous crypto-asset exchanges. The Bittrex team has had great ambitions and managed to deliver promises and more. The exchange staff comprises forward-thinking and exceptional individuals whose success is recognized in the traditional business and blockchain sector. Bittrex's purpose is to be the driving force in the blockchain revolution, expanding the application, importance, and accessibility of this game-changing technology worldwide. The exchange fosters new and innovative blockchain and related projects that could potentially change the way money and assets are managed globally. Alongside innovation, safety will always be the main priority of the company. The platform utilizes the most reliable and effective practices and available technologies to protect user accounts. Bittrex customers have always primarily been those who appreciate the highest degree of security. Because of the way the Bittrex trading platform is designed, it can easily scale to always provide instant order execution for any number of new customers. Bittrex supports algorithmic trading and empowers its customers with extensive APIs for more automated and profitable trading. One of the common features which is not available on the exchange is margin trading. No leverage used however adds up to the exchange's stability and prevents fast money seekers and risky traders from entering the exchange. Bittrex is a force of the blockchain revolution and an important entity of the emerging sector. The full version First part Second part
Rebasing, new money, old money, the stable value, and value fluctuations.
Hello all. I have seen several people comparing ampleforth to bitconnect, so here is the simplified formula: (Oracle Price – Target Price) / 10 supply change every 24 hours. Now so long as the price fluctuations are under this amount, we never run the risk of dropping into negative territory. Now, look at the chart. What are our fluctuations? The biggest fluctuation was the 13 july 2020, from 3.46 to 1.86. Now, is this due only to the rebase? No. If you look up on the days before that, we had a massive run up. This looks like a normal market pattern cycle that got burst. But did hodlers lose? No. The marketcap just keeps going up. So, what could cause the price to dip below $1? Well, if we reached $1, and the marketcap stagnated, then a whale *COULD* crash the market. However, there are several things to consider here. First, when we reach a stagnated market value, ampleforth will have taken a strong competitive edge against tether and usdc. That means its volume will be absolutely massive. Second, it requires more money to crash an asset than it requires to jack an asset's prices up. Psychology lesson. Most people are bad traders because they treat risk and reward differently. They hold losing positions hoping the losing position will come back, and they hesitate to take winning positions if there is a chance of loss. This risk adverse mentality has an application here. Also, the lower number of say .90 is a numerically lower number than say 1.15. And trading lesson... the spot price of an asset is determined by active traders. Not by actual hodlers. Traders are necessarily reactionary. We cannot see the future. And when the price fluctuates, non market participants tend to become active market participants. This is why small price moves can spark feagreed runs. At ampleforth's target price of $1, it is going to be difficult for any one trader to crash the market, and we will NOT see price drops to .5 as a normal occurrence. If we do, there is an arbitrage that traders like me WILL do if it happens. Basically since we know that below $1 the rebase is a negative event, we will do the opposite of current actions with trading. The current trading strategy that eliminates risk while at the same time maximizes returns is to jump in with tether 5 minutes before rebase, and jump out and crash the market with the new 10% supply. Under $1, the strategy would be to buy and jump in. Right before rebase, traders sell, and then buy back in after rebase. People who are saying ampleforth is a bad investment are probably wrong. There are reasons it won't crash sub $1 when it has lots of users, and there are ways the market can remedy the situation. Now.. the ampleforth rich list IS disturbing. Just like satoshi nakamoto holding 10% of bitcoin is disturbing. However, they are a respectable crypto company, and they have plans for at least coinbase and binance, and I do not see them flash dumping on the market. That isn't to say they might sell. I am saying that if they do sell, they will do it in a nice respectful manner that does not crash the market, and doesn't cause lots of slippage for them.
How many people really understand what they’re buying, especially when it comes to highly specialized hardware companies? Most NVidia investors seem to be relying on a vague idea of how the company should thrive “in the future”, as their GPUs are ostensibly used for Artificial Intelligence, Cloud, holograms, etc. Having been shocked by how this company is represented in the media, I decided to lay out how this business works, doing my part to fight for reality. With what’s been going on in markets, I don’t like my chances but here goes: Let’s start with… How does NVDA make money? NVDA is in the business of semiconductor design. As a simplified image in your head, you can imagine this as designing very detailed and elaborate posters. Their engineers create circuit patterns for printing onto semiconductor wafers. NVDA then pays a semiconductor foundry (the printer – generally TSMC) to create chips with those patterns on them. Simply put, NVDA’s profits represent the difference between the price at which they can sell those chips, less the cost of printing, and less the cost of paying their engineers to design them. Notably, after the foundry prints the chips, NVDA also has to pay (I say pay, but really it is more like “sell at a discount to”) their “add-in board” (AIB) partners to stick the chips onto printed circuit boards (what you might imagine as green things with a bunch of capacitors on them). That leads to the final form in which buyers experience the GPU. What is a GPU? NVDA designs chips called GPUs (Graphical Processing Units). Initially, GPUs were used for the rapid processing and creation of images, but their use cases have expanded over time. You may be familiar with the CPU (Central Processing Unit). CPUs sit at the core of a computer system, doing most of the calculation, taking orders from the operating system (e.g. Windows, Linux), etc. AMD and Intel make CPUs. GPUs assist the CPU with certain tasks. You can think of the CPU as having a few giant very powerful engines. The GPU has a lot of small much less powerful engines. Sometimes you have to do a lot of really simple tasks that don’t require powerful engines to complete. Here, the act of engaging the powerful engines is a waste of time, as you end up spending most of your time revving them up and revving them down. In that scenario, it helps the CPU to hand that task over to the GPU in order to “accelerate” the completion of the task. The GPU only revs up a small engine for each task, and is able to rev up all the small engines simultaneously to knock out a large number of these simple tasks at the same time. Remember the GPU has lots of engines. The GPU also has an edge in interfacing a lot with memory but let’s not get too technical. Who uses NVDA’s GPUs? There are two main broad end markets for NVDA’s GPUs – Gaming and Professional. Let’s dig into each one: The Gaming Market: A Bit of Ancient History (Skip if impatient) GPUs were first heavily used for gaming in arcades. They then made their way to consoles, and finally PCs. NVDA started out in the PC phase of GPU gaming usage. They weren’t the first company in the space, but they made several good moves that ultimately led to a very strong market position. Firstly, they focused on selling into OEMs – guys like the equivalent of today’s DELL/HP/Lenovo – , which allowed a small company to get access to a big market without having to create a lot of relationships. Secondly, they focused on the design aspect of the GPU, and relied on their Asian supply chain to print the chip, to package the chip and to install in on a printed circuit board – the Asian supply chain ended up being the best in semis. But the insight that really let NVDA dominate was noticing that some GPU manufacturers were focusing on keeping hardware-accelerated Transform and Lighting as a Professional GPU feature. As a start-up, with no professional GPU business to disrupt, NVidia decided their best ticket into the big leagues was blowing up the market by including this professional grade feature into their gaming product. It worked – and this was a real masterstroke – the visual and performance improvements were extraordinary. 3DFX, the initial leader in PC gaming GPUs, was vanquished, and importantly it happened when funding markets shut down with the tech bubble bursting and after 3DFX made some large ill-advised acquisitions. Consequently 3DFX, went from hero to zero, and NVDA bought them for a pittance out of bankruptcy, acquiring the best IP portfolio in the industry. Some more Modern History This is what NVDA’s pure gaming card revenue looks like over time – NVDA only really broke these out in 2005 (note by pure, this means ex-Tegra revenues): 📷 https://hyperinflation2020.tumblr.com/private/618394577731223552/tumblr_Ikb8g9Cu9sxh2ERno So what is the history here? Well, back in the late 90s when GPUs were first invented, they were required to play any 3D game. As discussed in the early history above, NVDA landed a hit product to start with early and got a strong burst of growth: revenues of 160M in 1998 went to 1900M in 2002. But then NVDA ran into strong competition from ATI (later purchased and currently owned by AMD). While NVDA’s sales struggled to stay flat from 2002 to 2004, ATI’s doubled from 1Bn to 2Bn. NVDA’s next major win came in 2006, with the 8000 series. ATI was late with a competing product, and NVDA’s sales skyrocketed – as can be seen in the graph above. With ATI being acquired by AMD they were unfocused for some time, and NVDA was able to keep their lead for an extended period. Sales slowed in 2008/2009 but that was due to the GFC – people don’t buy expensive GPU hardware in recessions. And then we got to 2010 and the tide changed. Growth in desktop PCs ended. Here is a chart from Statista: 📷https://hyperinflation2020.tumblr.com/private/618394674172919808/tumblr_OgCnNwTyqhMhAE9r9 This resulted in two negative secular trends for Nvidia. Firstly, with the decline in popularity of desktop PCs, growth in gaming GPUs faded as well (below is a chart from Jon Peddie). Note that NVDA sells discrete GPUs, aka DT (Desktop) Discrete. Integrated GPUs are mainly made by Intel (these sit on the motherboard or with the CPU). 📷 https://hyperinflation2020.tumblr.com/private/618394688079200256/tumblr_rTtKwOlHPIVUj8e7h You can see from the chart above that discrete desktop GPU sales are fading faster than integrated GPU sales. This is the other secular trend hurting NVDA’s gaming business. Integrated GPUs are getting better and better, taking over a wider range of tasks that were previously the domain of the discrete GPU. Surprisingly, the most popular eSports game of recent times – Fortnite – only requires Intel HD 4000 graphics – an Integrated GPU from 2012! So at this point you might go back to NVDA’s gaming sales, and ask the question: What happened in 2015? How is NVDA overcoming these secular trends? The answer consists of a few parts.Firstly, AMD dropped the ball in 2015. As you can see in this chart, sourced from 3DCenter, AMD market share was halved in 2015, due to a particularly poor product line-up: 📷 https://hyperinflation2020.tumblr.com/private/618394753459994624/tumblr_J7vRw9y0QxMlfm6Xd Following this, NVDA came out with Pascal in 2016 – a very powerful offering in the mid to high end part of the GPU market. At the same time, AMD was focusing on rebuilding and had no compelling mid or high end offerings. AMD mainly focused on maintaining scale in the very low end. Following that came 2017 and 2018: AMD’s offering was still very poor at the time, but cryptomining drove demand for GPUs to new levels, and AMD’s GPUs were more compelling from a price-performance standpoint for crypto mining initially, perversely leading to AMD gaining share. NVDA quickly remedied that by improving their drivers to better mine crypto, regaining their relative positioning, and profiting in a big way from the crypto boom. Supply that was calibrated to meet gaming demand collided with cryptomining demand and Average Selling Prices of GPUs shot through the roof. Cryptominers bought top of the line GPUs aggressively. A good way to see changes in crypto demand for GPUs is the mining profitability of Ethereum: 📷 https://hyperinflation2020.tumblr.com/private/618394769378443264/tumblr_cmBtR9gm8T2NI9jmQ This leads us to where we are today. 2019 saw gaming revenues drop for NVDA. Where are they likely to head? The secular trends of falling desktop sales along with falling discrete GPU sales have reasserted themselves, as per the Jon Peddie research above. Cryptomining profitability has collapsed. AMD has come out with a new architecture, NAVI, and the 5700XT – the first Iteration, competes effectively with NVDA in the mid-high end space on a price/performance basis. This is the first real competition from AMD since 2014. NVDA can see all these trends, and they tried to respond. Firstly, with volumes clearly declining, and likely with a glut of second-hand GPUs that can make their way to gamers over time from the crypto space, NVDA decided to pursue a price over volume strategy. They released their most expensive set of GPUs by far in the latest Turing series. They added a new feature, Ray Tracing, by leveraging the Tensor Cores they had created for Professional uses, hoping to use that as justification for higher prices (more on this in the section on Professional GPUs). Unfortunately for NVDA, gamers have responded quite poorly to Ray Tracing – it caused performance issues, had poor support, poor adoption, and the visual improvements in most cases are not particularly noticeable or relevant. The last recession led to gaming revenues falling 30%, despite NVDA being in a very strong position at the time vis-à-vis AMD – this time around their position is quickly slipping and it appears that the recession is going to be bigger. Additionally, the shift away from discrete GPUs in gaming continues. To make matters worse for NVDA, AMD won the slots in both the New Xbox and the New PlayStation, coming out later this year. The performance of just the AMD GPU in those consoles looks to be competitive with NVidia products that currently retail for more than the entire console is likely to cost. Consider that usually you have to pair that NVidia GPU with a bunch of other expensive hardware. The pricing and margin impact of this console cycle on NVDA is likely to be very substantially negative. It would be prudent to assume a greater than 30% fall in gaming revenues from the very elevated 2019 levels, with likely secular decline to follow. The Professional Market: A Bit of Ancient History (again, skip if impatient) As it turns out, graphical accelerators were first used in the Professional market, long before they were employed for Gaming purposes. The big leader in the space was a company called Silicon Graphics, who sold workstations with custom silicon optimised for graphical processing. Their sales were only $25Mn in 1985, but by 1997 they were doing 3.6Bn in revenue – truly exponential growth. Unfortunately for them, from that point on, discrete GPUs took over, and their highly engineered, customised workstations looked exorbitantly expensive in comparison. Sales sank to 500mn by 2006 and, with no profits in sight, they ended up filing for bankruptcy in 2009. Competition is harsh in the semiconductor industry. Initially, the Professional market centred on visualisation and design, but it has changed over time. There were a lot of players and lot of nuance, but I am going to focus on more recent times, as they are more relevant to NVidia. Some More Modern History NVDA’s Professional business started after its gaming business, but we don’t have revenue disclosures that show exactly when it became relevant. This is what we do have – going back to 2005: 📷 https://hyperinflation2020.tumblr.com/private/618394785029472256/tumblr_fEcYAzdstyh6tqIsI In the beginning, Professional revenues were focused on the 3D visualisation end of the spectrum, with initial sales going into workstations that were edging out the customised builds made by Silicon Graphics. Fairly quickly, however, GPUs added more and more functionality and started to turn into general parallel data processors rather than being solely optimised towards graphical processing. As this change took place, people in scientific computing noticed, and started using GPUs to accelerate scientific workloads that involve very parallel computation, such as matrix manipulation. This started at the workstation level, but by 2007 NVDA decided to make a new line-up of Tesla series cards specifically suited to scientific computing. The professional segment now have several points of focus:
GPUs used in workstations for things such as CAD graphical processing (Quadro Line)
GPUs used in workstations for computational workloads such as running engineering simulations (Quadro Line)
GPUs used in workstations for machine learning applications (Quadro line.. but can use gaming cards as well for this)
GPUs used by enterprise customers for high performance computing (such as modelling oil wells) (Tesla Line)
GPUs used by enterprise customers for machine learning projects (Tesla Line)
GPUs used by hyperscalers (mostly for machine learning projects) (Tesla Line)
In more recent times, given the expansion of the Tesla line, NVDA has broken up reporting into Professional Visualisation (Quadro Line) and Datacenter (Tesla Line). Here are the revenue splits since that reporting started: 📷 https://hyperinflation2020.tumblr.com/private/618394798232158208/tumblr_3AdufrCWUFwLgyQw2 📷 https://hyperinflation2020.tumblr.com/private/618394810632601600/tumblr_2jmajktuc0T78Juw7 It is worth stopping here and thinking about the huge increase in sales delivered by the Tesla line. The reason for this huge boom is the sudden increase in interest in numerical techniques for machine learning. Let’s go on a brief detour here to understand what machine learning is, because a lot of people want to hype it but not many want to tell you what it actually is. I have the misfortune of being very familiar with the industry, which prevented me from buying into the hype. Oops – sometimes it really sucks being educated. What is Machine Learning? At a very high level, machine learning is all about trying to get some sort of insight out of data. Most of the core techniques used in machine learning were developed a long time ago, in the 1950s and 1960s. The most common machine learning technique, which most people have heard of and may be vaguely familiar with, is called regression analysis. Regression analysis involves fitting a line through a bunch of datapoints. The most common type of regression analysis is called “Ordinary Least Squares” OLS regression, and that type of regression has a “closed form” solution, which means that there is a very simple calculation you can do to fit an OLS regression line to data. As it happens, fitting a line through points is not only easy to do, it also tends to be the main machine learning technique that people want to use, because it is very intuitive. You can make good sense of what the data is telling you and can understand the machine learning model you are using. Obviously, regression analysis doesn’t require a GPU! However, there is another consideration in machine learning: if you want to use a regression model, you still need a human to select the data that you want to fit the line through. Also, sometimes the relationship doesn’t look like a line, but rather it might look like a curve. In this case, you need a human to “transform” the data before you fit a line through it in order to make the relationship linear. So people had another idea here: what if instead of getting a person to select the right data to analyse, and the right model to apply, you could just get a computer to do that? Of course the problem with that is that computers are really stupid. They have no preconceived notion of what data to use or what relationship would make sense, so what they do is TRY EVERYTHING! And everything involves trying a hell of a lot of stuff. And trying a hell of a lot of stuff, most of which is useless garbage, involves a huge amount of computation. People tried this for a while through to the 1980s, decided it was useless, and dropped it… until recently. What changed? Well we have more data now, and we have a lot more computing power, so we figured lets have another go at it. As it happens, the premier technique for trying a hell of a lot of stuff (99.999% of which is garbage you throw away) is called “Deep Learning”. Deep learning is SUPER computationally intensive, and that computation happens to involve a lot of matrix multiplication. And guess what just happens to have been doing a lot of matrix multiplication? GPUs! Here is a chart that, for obvious reasons, lines up extremely well with the boom in Tesla GPU sales: 📷 https://hyperinflation2020.tumblr.com/private/618394825774989312/tumblr_IZ3ayFDB0CsGdYVHW Now we need to realise a few things here. Deep Learning is not some magic silver bullet. There are specific applications where it has proven very useful – primarily areas that have a very large number of very weak relationships between bits of data that sum up into strong relationships. An example of ones of those is Google Translate. On the other hand, in most analytical tasks, it is most useful to have an intuitive understanding of the data and to fit a simple and sensible model to it that is explainable. Deep learning models are not explainable in an intuitive manner. This is not only because they are complicated, but also because their scattershot technique of trying everything leaves a huge amount of garbage inside the model that cancels itself out when calculating the answer, but it is hard to see how it cancels itself out when stepping through it. Given the quantum of hype on Deep learning and the space in general, many companies are using “Deep Learning”, “Machine Learning” and “AI” as marketing. Not many companies are actually generating significant amounts of tangible value from Deep Learning. Back to the Competitive Picture For the Tesla Segment So NVDA happened to be in the right place at the right time to benefit from the Deep Learning hype. They happened to have a product ready to go and were able to charge a pretty penny for their product. But what happens as we proceed from here? Firstly, it looks like the hype from Deep Learning has crested, which is not great from a future demand perspective. Not only that, but we really went from people having no GPUs, to people having GPUs. The next phase is people upgrading their old GPUs. It is much harder to sell an upgrade than to make the first sale. Not only that, but GPUs are not the ideal manifestation of silicon for Deep Learning. NVDA themselves effectively admitted that with their latest iteration in the Datacentre, called Ampere. High Performance Computing, which was the initial use case for Tesla GPUs, was historically all about double precision floating point calculations (FP64). High precision calculations are required for simulations in aerospace/oil & gas/automotive. NVDA basically sacrificed HPC and shifted further towards Deep Learning with Ampere, announced last Thursday. The FP64 performance of the A100 (the latest Ampere chip) increased a fairly pedestrian 24% from the V100, increasing from 7.8 to 9.7 TF. Not a surprise that NVDA lost El Capitan to AMD, given this shift away from a focus on HPC. Instead, NVDA jacked up their Tensor Cores (i.e. not the GPU cores) and focused very heavily on FP16 computation (a lot less precise than FP64). As it turns out, FP16 is precise enough for Deep Learning, and NVDA recognises that. The future industry standard is likely to be BFloat 16 – the format pioneered by Google, who lead in Deep Learning. Ampere now does 312 TF of BF16, which compares to the 420 TF of Google’s TPU V3 – Google’s Machine Learning specific processor. Not quite up to the 2018 board from Google, but getting better – if they cut out all of the Cuda cores and GPU functionality maybe they could get up to Google’s spec. And indeed this is the problem for NVDA: when you make a GPU it has a large number of different use cases, and you provide a single product that meets all of these different use cases. That is a very hard thing to do, and explains why it has been difficult for competitors to muscle into the GPU space. On the other hand, when you are making a device that does one thing, such as deep learning, it is a much simpler thing to do. Google managed to do it with no GPU experience and is still ahead of NVDA. It is likely that Intel will be able to enter this space successfully, as they have widely signalled with the Xe. There is of course the other large negative driver for Deep Learning, and that is the recession we are now in. Demand for GPU instances on Amazon has collapsed across the board, as evidenced by the fall in pricing. The below graph shows one example: this data is for renting out a single Tesla V100 GPU on AWS, which isthe typical thing to do in an early exploratory phase for a Deep Learning model: 📷 https://hyperinflation2020.tumblr.com/private/618396177958944768/tumblr_Q86inWdeCwgeakUvh With Deep Learning not delivering near-term tangible results, it is the first thing being cut. On their most recent conference call, IBM noted weakness in their cognitive division (AI), and noted weaker sales of their power servers, which is the line that houses Enterprise GPU servers at IBM. Facebook cancelled their AI residencies for this year, and Google pushed theirs out. Even if NVDA can put in a good quarter due to their new product rollout (Ampere), the future is rapidly becoming a very stormy place. For the Quadro segment The Quadro segment has been a cash cow for a long time, generating dependable sales and solid margins. AMD just decided to rock the boat a bit. Sensing NVDA’s focus on Deep Learning, AMD seems to be focusing on HPC – the Radeon VII announced recently with a price point of $1899 takes aim at NVDAs most expensive Quadro, the GV100, priced at $8999. It does 6.5 TFLOPS of FP64 Double precision, whereas the GV100 does 7.4 – talk about shaking up a quiet segment. Pulling things together Let’s go back to what NVidia fundamentally does – paying their engineers to design chips, getting TSMC to print those chips, and getting board partners in Taiwan to turn them into the final product. We have seen how a confluence of several pieces of extremely good fortune lined up to increase NVidia’s sales and profits tremendously: first on the Gaming side, weak competition from AMD until 2014, coupled with a great product in form of Pascal in 2016, followed by a huge crypto driven boom in 2017 and 2018, and on the Professional side, a sudden and unexpected increase in interest in Deep Learning driving Tesla demand from 2017-2019 sky high. It is worth noting what these transient factors have done to margins. When unexpected good things happen to a chip company, sales go up a lot, but there are no costs associated with those sales. Strong demand means that you can sell each chip for a higher price, but no additional design work is required, and you still pay the printer, TSMC, the same amount of money. Consequently NVDA’s margins have gone up substantially: well above their 11.9% long term average to hit a peak of 33.2%, and more recently 26.5%: 📷 https://hyperinflation2020.tumblr.com/private/618396192166100992/tumblr_RiWaD0RLscq4midoP The question is, what would be a sensible margin going forward? Obviously 33% operating margin would attract a wall of competition and get competed away, which is why they can only be temporary. However, NVidia has shifted to having a greater proportion of its sales coming from non-OEM, and has a greater proportion of its sales coming from Professional rather than gaming. As such, maybe one can be generous and say NVDA can earn an 18% average operating margin over the next cycle. We can sense check these margins, using Intel. Intel has a long term average EBIT margin of about 25%. Intel happens to actually print the chips as well, so they collect a bigger fraction of the final product that they sell. NVDA, since it only does the design aspect, can’t earn a higher EBIT margin than Intel on average over the long term. Tesla sales have likely gone too far and will moderate from here – perhaps down to a still more than respectable $2bn per year. Gaming resumes the long-term slide in discrete GPUs, which will likely be replaced by integrated GPUs to a greater and greater extent over time. But let’s be generous and say it maintains $3.5 Bn Per year for the add in board, and let’s assume we keep getting $750mn odd of Nintendo Switch revenues(despite that product being past peak of cycle, with Nintendo themselves forecasting a sales decline). Let’s assume AMD struggles to make progress in Quadro, despite undercutting NVDA on price by 75%, with continued revenues at $1200. Add on the other 1.2Bn of Automotive, OEM and IP (I am not even counting the fact that car sales have collapsed and Automotive is likely to be down big), and we would end up with revenues of $8.65 Bn, at an average operating margin of 20% through the cycle that would have $1.75Bn of operating earnings power, and if I say that the recent Mellanox acquisition manages to earn enough to pay for all the interest on NVDAs debt, and I assume a tax rate of 15% we would have around $1.5Bn in Net income. This company currently has a market capitalisation of $209 Bn. It blows my mind that it trades on 139x what I consider to be fairly generous earnings – earnings that NVidia never even got close to seeing before the confluence of good luck hit them. But what really stuns me is the fact that investors are actually willing to extrapolate this chain of unlikely and positive events into the future. Shockingly, Intel has a market cap of 245Bn, only 40Bn more than NVDA, but Intel’s sales and profits are 7x higher. And while Intel is facing competition from AMD, it is much more likely to hold onto those sales and profits than NVDA is. These are absolutely stunning valuation disparities. If I didn’t see NVDA’s price, and I started from first principles and tried to calculate a prudent price for the company I would have estimated a$1.5Bn normalised profit, maybe on a 20x multiple giving them the benefit of the doubt despite heading into a huge recession, and considering the fact that there is not much debt and the company is very well run. That would give you a market cap of $30Bn, and a share price of $49. And it is currently $339. Wow. Obviously I’m short here!
And so many more, including non-top 100 coins, have seen exponential growth, not just this month, but in the last week also. Some cryptos have seen major technical price breakthroughs at key levels: >> Ethereum breaking out of a price range after 2 years! >> Bitcoin breaking out of a downward diagonal trend line, firmly placing itself outside of the previous downtrend. Exchanges seeing huge rises in traffic — hitting 12-month highs: Binance hitting a over 200,000 daily users & 1.2 million daily page views. chart from livecoinwatch.com Also, Binance recently hitting a 12-month trading volume high of $5.7bn, today recording a daily vol. of $5.6bn. Same goes with other exchanges like Coinbase, Kraken, + others, who have all seen a rise a traffic and overall daily trading volume. Google Trends showing worldwide interest in cryptocurrency is at a 12-month high: chart from Google Trends And the overall vibe on all crypto subreddits just spells a lot of excitement and activity. Overall sentiment (from my observations) being very bullish overall, both for established and small cap coins. It definitely seems like we're at the launchpad stage of a bull run. https://reddit.com/link/iaaopc/video/ks4ea2au27h51/player Question: Where are we going to go from here? Will we soon see 2017-like parabolic rallies? Pullbacks before more uptrends? (charts used fromlivecoinwatch.comand Google Trends)
This is a new post after some interest in a comment why I believed the S&P is going to 1700. Update 3: I am going to limit my answers in the comments guys; as the post becomes more popular it is becoming more diluted with snark etc. I don't expect anyone to follow my opinions; I just want to share one aspect of why I am making the trades I am. I maybe wrong. Random walk and all that.. Original Disclaimer: This is based on historical precedence and we are in unprecedented times but, with history as our guide a strong argument can be made for the S&P to decline to a level that is currently inconceivable.I have disclosed all my positions near the bottom. Update 1: Slightly long; happy to be challenged in the comments, it is late in the UK (2am) so may tidy it up and add more references and charts tomorrow.Update 2:Have expanded the post to answer as many comments and requests for references wherever possible and tagged in the requestors.
Intro: Are we in a recession?
If you believe so, or that we are heading into a recession then there are four things needed to support a genuine rally out of a recession
Improving economic health indicators
Accurate pricing reflecting the end of the recession and tempered optimism
We are missing 2 out of those 4 criteria; the overwhelming monetary and fiscal policy (world-records) are compensating for lack of positive indicators and volatile and bullishpricing.
What do you mean by pricing?
It can be argued that the current price of stocks is not discounting for the acute and likely chronic harm to consumer sentiment and spending power. For example; the UK clothing retailer Next Group closed their bricks and mortar stores (share price increased 4%) then they cancelled all online shopping (share price increased 3%) and finally they cancelled all orders with their supply chain (shares leapt 12.8% during the rally.) There is the massive amount of second, third and fourth order effects that this one company does to the UK economy (and Turkish factories). Suppliers, shipping, design, marketing etc all cancelled and the staff furloughed. This is one example but the indexes are currently full of similar examples and some analysts are ringing the alarm bells.
Lazard Asset Management are concerned that the pandemic “will persist longer than many investors suspect and that the economic damage will be deeper and potentially longer-lasting”.
Reddit is quick to mention that stonks only go up but there is some truth to that sentiment at present since any negative factors are dismissed as being priced in and all positive factors are heralded as a cause for stocks to rally. If priced in was accurate then we would not see record-beating market rallies back to back. 10% volatility swings over 48 hours is the very definition of not priced in. There is evidence to suggest that, well, the bullish sentiment is wrong and mainly because it is retail investors being taken for a ride whilst funds re-balance and offload. Retail traders "buying the dips" is normally a contrarian signal, meaning that it's time to sell. This section is for u/lntoIerant in response to a comment.
Edit to answer some comments about this portion thus far.
Do retail investors move the market?
No, they act as a sentiment indicator that the market is reaching a peak absurdity. Similar sentiments have preceded major recessions in the past. When you hear a layman offering stock tips or googling how to buy stocks then we are reaching the precipice of a depression. new market entrants are not the same as traditional retail investors.
Are retail investors buying in greater volumes?
That is hard to say because the majority of retail trades are done off-book. The trades are mixed in with portfolio moves or using the retail service which is a dark pool.
Are retail investors dumb money?
Well, no. Kind of. It depends. This white paper indicates that retail investors are more knowledgeable, more profitable and better informed than previously thought. However, a lot of their trades, as mentioned above, are done off-book as part of a larger portfolio and they simply lose a fraction of a basis point because market timing is not that critical.
What does this have to do with the S&P dividend and the EPS?
Major indexes are comprised of stocks that pay handsome dividends; normally 2% yield a year. The companies have reached their limit of growth (HSBC haven't discovered 5 million new customers and Shell are not finding new fossil fuels) so investors hold the stock for income-seeking reasons. The FTSE 100 was priced in to generate £89 billion in dividends for 2019 and £90 billion+ in 2020. That has largely collapsed. The only companies that pay dividends are those taking on debt to do so like Shell. And they have; a 10Bn credit line to maintain dividends. The Bank of Englandhad to slap 5 UK banks from issuing dividends at this time. That means that their primary valuations as income-generating stocks are questionable... ...especially since the dividends are not expected to return to the 2020 levels for another 10 years now. Edit to add: This portion is taken from the market report by BNY Mellon. You can see the chart here. The analyst is John Velis of BNY. Thanks to u/flash_aaaah_ahhhhh for prompting me.
“By 2021, the market expects dividends per share for the S&P 500 to be down to under $38 per share (a staggering 41 per cent drop from recent highs of approximately $63 per share) and then to start slowly rising again. Going out 10 years to 2030, the expectation is that dividends will just about recover to pre-Covid-19 levels.”
Main body: Onto the S&P
In 2021 the market expects the dividends per share for the S&P to be reduced to $38 per share. That is priced in and common knowledge. That is a 41% drop from the recent highs of $63 a share and seems alarming for income seeking investors since we are not expected to recover to those prices for 8-10 years. Source. But DataTrek have noted that we are still currently trading at 21X the trailing 10 year earnings of $122 a share. Dividends per share normally don't fall as far as earnings per share. But they are inverted at present. For the S&P to be trading at 2,650 level (or even higher) it means the market does not believe the pandemic or recession will have any long-term damage. That puts us squarely at odds with items 3 and 4 in our list of factors needed to exit a bear market.
In other recessions, including 2008, the dividend price per share drops approximately 12-15% but the earnings per share drop by considerably more; as much as 85%. That means that in 2008 financial crisis and subsequent bear market; the dividends per share dropped by a lower percentage amount than the total index value drop. You can see that in this chart here.
The market drop was approximately 56% and the Dividend drop was 14%
The market drop was 56% and the earnings drop was 85%
Right now, we have the reverse. Dividend share drop in this market is 41% (which is chilling) and market drop was approximately only 30% and rallying heavily back to the mid-20's only. That makes no financial sense unless the assets were being propped up by buyers...
S&P ATH: 3386 to 2488 on April 4th (26.5% drop)
S&P ATH Dividend: From $63 expected to $38 (a 41% drop)
S&P ATH EPS:
If the S&P follows the same playbook at 2008-9, then we would expect to see levels of around 1400 at the bottom but that seems extremely bearish expecting that this crisis is worse than 2008. If previous indications hold true, then we would expect the S&P to drop by approximately 50-60%ish at the true bottom to reflect the 41% decrease in expected shares plus additional discounts and negative market sentiment. In reality, we are probably likely to pull back to between 13X and 15X trailing average which puts the S&P between 1600 (low side) and 1800 (high side).
You are putting a lot of faith in a re-run of the 2008 crisis
I am. No doubt about it. After October 2008, stocks fell for another four months, piling up 40% of losses before the recently ended bull market began in March 2009.
New market indicators
Since I wrote this post, the DJIA was up over 4% and closed down on the day. Thank you to theTwitter feed of Jim Bianco for this: Since 1925 (95 yrs!), up more than 4% and closing down on the day has happened only one other time ... Oct 14, 2008 (Tsy Sec Hank Paulson forced the banks to take TARP money). The S&P 500 was up 3.5% at the high and closed down on the day. Since April 1982 (daily H,L,C began) has happened three other times...Oct 3, 08, Oct 14, 08, and Oct 17, 08. This mkt continues to trade like Oct 08. It was six months and another 25% down before the low. Bezinga are also playing up the 2008 similarities.
Why is bullish sentiment so wrong?
The negative reports are so wildly negative that the almost defy belief. We are dealing with insane numbers way beyond our traditional frame of reasoning. This is topped only by the insanity of the scale of quantitative easing. Less than a year ago, a small movement in the non-farm payrolls would lead to a 2-3% move in the markets; now we are hitting 700K jobs lost, a truly ugly number and the market rallies hugely. Future economic students will study this to try and understand what was happening. In the space of weeks the majority of the Western economies have swung to being effectively state-sponsored, centralised economies and no one really knows how to unwind these positions. It is impossible to reconcile being a bull with a centralised state economy and blue-chip stocks that refuse to pay dividends but the share price remains at the same levels as when they paid a 2% yield. The UK forecast is for the deepest contraction since 1900. Business surveys have shown activity crashing faster in March than during the financial crisis. The Office for National Statistics has published experimental research on the impact of Covid-19 on the economy.
With entire swaths of the economy having shut down “traditional forecasting methods become irrelevant”, warned Chiara Zangarelli, economist at investment bank Nomura.
Michelle Girard, economist at NatWest, said that while there was huge uncertainty about the precise magnitude of the contraction in gross domestic product in the second quarter, “there is little doubt that it will be off the scale” That is not a bullish sentiment. It means markets are acting irrationally since fundamentals are being dismissed as priced-in. In reality; nothing is priced in.
I am long VIX to 78 (expected by end of Apri but ideally by 24/4)
I am short India to 7800 (expected by 15/05)
I am short S&P to 2200 (expected by mid-late of May)and will be to 1810-50
I am short Dow to 19000 (expected by mid-late May)and will be again to 17000
I am short FTSE to 5200 and will be again to 4800 (expected by mid-late May)
No current active hedges / all spreads due to being tax free profits in the UK
Further spread betting the swings to the upside where I can to scalp
I am holding a portfolio of streaming services and gaming companies
I am holding Microsoft and Disney
I own a very small quantity of crypto, primarily XRP
Edit to add: So, your entire thesis is totally destroyed if companies keep paying dividends?
Yes. In a nutshell. But something else will be destroyed; the western taxpayer and future growth.
If companies are using 0% interest rates to take out loans and then transferring those loans a small 1% of the populace via dividends; that bill will come due to the citizen taxpayer and/or shareholder of the future
If companies are taking federal or governmental aid to furlough workers but still paying dividends to shareholders? That bill will come due to the citizen taxpayer and effectively is an even more extreme form of socialising market losses; it means that we truly can never have a correction since the top 1% will lose. Not lose the investment itself, which can rebound, but will simply lose the yield on an investment and only for a short period of time. If we have reached a point where that is considered unacceptable then we truly are living in a new socialist, centrally planned world.
Here is Tesco defending their decision today of £635m in dividends...despite receiving considerable amounts of VAT, Rates and Rental relief from the UK Government (£585m)...they have done an admirable job and are profitable but this market signal and their stated reasons for doing so are alarming.
CEO said 'every pound we receive [in rates relief] will be invested in ensuring Tesco is able to support British shoppers...' That is tax payers paying a subsidy to a free-market company for the ability to shop...and also... Mr Lewis said that the needs of savers and pension funds also needed to be considered in the debate around dividends. “We’ve thought long and hard about our responsibilities here . . . we are in a strong position to pay out for the benefit of those people
Edit to add: What about the FED and stimulus
u/tauriel81 and u/aliveintucson325 and u/100PERCENTYOLO_VEQT OK - to truly test my own assumptions; here is my argument AGAINST my position. The Fed have not quite printed money as Reddit loves to meme. They have issued liquidity and central banks worldwide have allowed banks to relax their requirement to hold reserves of cash. That injects money into the business world by allowing lending and borrowing to continue. It also reduces theoretical risk since the models are back within tolerance. When the time comes they will remove the credits gradually without causing hyperinflation. They do this by paying banks not to lend back into the system by holding a % of their assets at the Federal Reserve. So they pay the banks but the banks keep the deposit at the Fed and don't pass on the liquidity to potential borrowers..gradually and sustainably. https://www.aier.org/article/powells-new-monetary-regime/ That means the borrower of the future (home purchasers, entreprenuers etc) will have very few credit facilities available so RIP to the long-term economic growth. We also have unprecedented government support for citizens. The largest social security welfare plan since WW2, especially in Europe. If you believe that the Western economies can weather this storm using the bridging devices by central banks then it pays to dollar cost average into the market and keep buying the dips as a retail investor. Lots of buoyant news from European nations and China about the slowing pandemic is overwhelming the negative leading and lagging economic indicators about economic data. If you believe the economy can return to normal within 36 months, then it pay to be bullish and invest. If you are day-trading, swing-trading or short-term options trading then the overwhelming market moves are likely to crush people as the system flexes under lots of volatility. You are also likely prioritising the negative news and technical analysis in your filter bubble and de-prioritising the positive news particularly when that news is fiscal or monetary policy since those things are dry, boring and incomprehensible half the time. So you miss Fed backstops critical bankingi and instead hear UK Prime Minister in intensive care. If you want to know what is going on...
Look at the short term fundamentals
Zoom out. Re-look.
Zoom out to an even longer timeline. Re-look.
Zoom out to an even even longer timeline. Re-look.
Zoom out to an even even even longer timeline. Re-look.
Decide where you making a prediction. Plan your trade, trade your plan. How do the FED take money back out of the economy? They FED purchase the security initially to then sell it back to the asset-holder later. So the balance of credit-deficit merely swaps but by paying a small premium on the excesses that they hold, they can cushion the inflation or deflation of the currency. So, they effectively give the bank liquidity and then remove that liquidity later by passing the asset back...but also provide a small premium to cushion the blow; 50% of the premium is then held on Federal Reserve books so that the market is not flooded with new money. The FED previously reduced their balance sheet from $4.4 trillion to $3.7 trillion but it remains to be seen if they can unwind a position of this size.
2 out of the 4 necessities for exiting a recession are not present
S&P currently trading at 21X the trailing 10 year average dividend
In previous recessions a 50% drop in the market was accompanied by a 15% drop in dividends
Market analysts expecting for a 41% drop in dividends but only trading a 26% drop in the market. At present the S&P dividend per share drop is 41% but the S&P is rallying back to less than 20% drop...whilst dividends are not expected to return to 2019 levels of income for 8-10 years
In previous recessions the dividend per share drop is much less than the overall index drop
S&P highly overvalued, completely inverted when compared with dividend expectation and market dividend pricing
S&P pull back to 1600-1800 over short-medium time frame (1 month-6 months).
If market history is to be believed then 1400 is not unfeasible based on percentages but you have to be hoping for a total economic destruction for this to happen.; expect a total Governmental response if this happens.
If S&P continues to rise then it indicates companies are taking on debt or other instruments to pay dividends rather than innovate, upgrade or consolidate their business position which some are (Shell etc).
Economic data will eventually overpower the stimulus and the Coronavirus is not priced in; hardly anything is priced in and analysts are now saying so publicly.
Hi All, I've been very impressed with the team over at Hedera, ever since Leemon appeared on the Hidden Forces podcast in March 2018. The invention of hashgraph seems an absolute game-changer. I'm not that technical but the architecture of hashgraph seems to solve many of the inherent issues with conventional blockchain. The companies structure, with the governing council, the path to decentralisation, and slow token release show a level of consciousness that is often missing in crypto. It seems clear to me that the FED is going to inflate their way out of the debt bubble and therefore crypto and PM's should have a massive tailwind over the next few years. https://preview.redd.it/455i7vwdrpj51.png?width=2282&format=png&auto=webp&s=ecd54538981338e304d2e949af26e017038e229e The daily chart looks like we broke out of an ascending triangle on relatively heavy volume and are now backtesting the previous overhead resistance. I've been building a position in HBAR as I see numerous reasons for it to outperform other assets in this space. I'd love some feedback from this subreddit on the following:
How you go about valuing HBAR?
How do you feel hashgraph will integrate with the rest of the blockchain/crypto space?
Has anyone tried trading this with 5x leverage on binance?
FTX was launched in 2019 by crypto trading veterans Sam Bankman-Fried (CEO) and Gary Wang (CTO). The motto of the exchange has been that it is is built “by traders for traders”, with the objective of offering a wider range of trading than other cryptocurrency exchanges. The founders come from a strong trading background, having established Alameda Research, a crypto quant fund that has topped trading many trading charts by volume. FTX’s main base of operations is in Hong Kong. The Exchange is owned by FTX Trading Limited, a company incorporated in Antigua and Barbuda.
Cryptocurrency technical analysis: cryptocurrency assets began the rally
Cryptocurrency technical analysis: cryptocurrency assets began the rally Top crypto assets have been in an uptrend this week. One of the reasons for the growth was the positive dynamics in the US stock market. This was facilitated by the decision of the US Federal Reserve to continue the asset repurchase program in current volumes until March 2021. In addition, a number of news has influenced the digital asset market. So, on July 25, Chief Justice of the District Court of the District of Columbia Beryl Howell recognized bitcoin as a form of money and stated that the asset falls under the money laundering law. This decision was made during the $311 million laundering case, where the head of the Coin Ninja crypto project Larry Dean Harmon is the defendant. Also since the beginning of the week, Bitcoin futures trading volumes have shown impressive growth, and the regulated crypto exchange Bakkt has reported closing of record high trading sessions. Also, significant support for the growth of the first cryptocurrency was provided by the massive closing of short positions, which were liquidated on July 28 for more than $500 million. And on July 29 it became known that the Central Bank of the Philippines is now participating in the race to launch the first national cryptocurrency. For this, a special committee will be created that will study the issue of launching the CBDC and the legal norms necessary for its work.
After a rebound from support at $9150, bitcoin quotes easily overcame the $9500 level, which now also acts as support. The 200-day simple moving average (SMA) line passes in this area, as well as the boundaries of the technical analysis “Triangle” (they are marked in pink on the chart below). This allowed Bitcoin to reach the first goal in the form of cluster boundaries of $9,900- $10,000 and $10,400- $10,500. Now the movement is taking place within the consolidation of $10,800- $11,300. In the coming weeks, maintaining the upward momentum will allow BTC quotes to rush to the following targets — $11,580 and $12,000. divergences ”between the highs on the chart and the MACD oscillator. If this scenario is realized, the targets will be the levels of $10,400 and $10,000. Further downward movement looks unlikely, but may lead to a retest of the $9,500- $9,600 area, where whales will most likely prefer to gain new positions in bitcoin. BTC / USD chart, four-hour timeframe On the daily chart of Bitcoin, you can see that there was a breakthrough of the boundaries of the technical analysis model “Triangle” (in the chart below they are marked in orange). From the point of view of technical analysis, a retest of the upper border of this figure should follow in the near future. This can lead to a decrease in the price from the current resistances of $11,000 and the cluster $11,200- $11,300 back to the supports at $10,500 and $10,000. If this scenario is implemented, there is also a chance of Bitcoin falling to the important cluster of $8900 (50% retracement at Fibonacci levels) — $9580. The presence of divergence between the BTC price and the MACD oscillator indicates a high probability of a correction. But at what levels this reversal will occur is not yet known. But until the end of this year, the first cryptocurrency is ready to maintain its growth trend, which can lead to reaching $11,800, $12,500, a cluster of $13,100- $13,350 and $14,000. BTC / USD chart, daily timeframe
Altcoins went up after bitcoin. The ether also shows good growth, the quotes of which continue to confidently rise from the support at $233, below which the 200-day SMA line is located. After overcoming the first target at $280, the ether rushed to the next targets located at the resistance levels of $300 and $320. Now the ETH quotes have returned to the framework of the “Flag” graphical model, which can reduce the volatility of the asset. At the same time, a correctional decline below $320 will allow big capital to gain positions. The support levels will be $300, $280 and $251. The targets for the development of a long-term upward movement are $363.80, $400 and $420. ETH / USD chart, daily timeframe
On the daily chart, Litecoin confidently maintains a positive momentum, which led to a breakout of the boundaries of the Descending Triangle technical analysis model. The upward breakout of the $47.45 level, just above which the 200-day moving average (MA) line is located, allowed LTC to go to the targets of $51.50 (38.2% correction level along the Fibonacci lines) and $56.80. In the medium term, further upward movement may develop to $60.80, $65, $70 and even $83. However, in the event of a correction from the current levels, the whales are likely to gain positions only at the previously tested levels of $50 and $51.50. LTC / USD chart, daily timeframe
Bitcoin Cash, as expected, soared from the borders of the “Triangle” price model (on the chart below the borders are marked with pink lines) to the resistance located at the upper border of the “Horizontal Channel” $200- $272. Then the altcoin continued its way to the $305 area. A correction may develop towards the 200-day SMA line, which is located in the $272 area. But in the long run of the coming months, we can expect a breakout of the $305 level, which will allow Bitcoin Cash to go up to the $356- $368 cluster and further to $400. BCH / USDT chart, daily timeframe
XRP also took advantage of an influx of liquidity, which led to the breakout of the boundaries of the Descending Triangle model. This allowed the asset to break through the boundaries of the “horizontal channel” of $0.18- $0.2050, in the area of which the 200-day MA line passes. As a result, XRP reached its first targets at $0.2360 and $0.2540. In the long term, the bulls will be able to take profits at $0.27, $0.2860 and $0.3080. At the same time, the levels of $0.2040, $0.2360 and $0.2540 in the event of a correction can act as supports for the current XRP quotes. XRP / USD chart, daily timeframe
Binance Coin also did not fail to take advantage of the market situation to break through the resistance in the form of the upper boundary of the “Ascending Triangle” and the level of $18.14. This allowed us to start the long-awaited growth towards the first target in the form of a powerful $19.36– $20 cluster. Maintaining this momentum in the months ahead will lead to the achievement of targets at $21.30, $23.50, $25.80 and $28.20. But before that, the asset may wait for a correction to the levels of $19.36 and $18, where the 200-day SMA line is located. BNB / USDT chart, daily timeframe At the end of this week, we can confidently say that another rally has begun among crypto assets. Moreover, it occurs before the start of the correctional decline on the world stock markets, which some investors warn about. Thus, the cryptocurrency market is becoming a new safe haven for whales, which have preferred to accumulate positions since March. We will not be surprised if this upward movement will last more than one month. Subscribe to our Telegram channel
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