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Conflicted On Twitter Heading Into Earnings
TL;DR: Twitter has a horrible execution history and negative surprises on the most recent earnings call, but company has real long term value that has yet to be unlocked. The bet here is that TWTR has run up based on pin action from SNAP, but fundamentals and peer comparison cloud the picture. I read this post calling for a short on Twitter and it became a bit of a WSB ear worm. I generally agreed with OP's assessment, but he was a bit short on DD and most of my thoughts are based on biases against the company's horrible execution/monetization history and a general disdain for Jack Dorsey wanting to move to Africa for a year rather than focusing on the TWO companies that have made him a billionaire. I thought about it, researched some short term puts (high premium as expected given recent run up into all time high today, earnings Thursday) and basically ATM puts are running $2.76 for $51's expiring Friday or $3.36 if I want to give myself the extra week (ELECTION MADNESS!) for an extra swing at the payoff. My initial thought is that Twitter has run up with SNAP and PINS after SNAP crushed earnings. I had started to look at PINS for an earnings play but didn't get to it before SNAP sent them all (and FB) off to the races. With that said, Twitter has a history of disappointing and I'm not aware of anything they've done recently to better monetize the site. I also haven't done any DD on them in forever after getting stuck long a few times and having to wait a quarter or so twice for what should have been a short term trade. So, thanks to OP Justaryns, here's some follow on DD. Now I'm more conflicted. Financials. Strong balance sheet. Company had $7.8 Billion cash on hand end of June, adding $1 Billion of that during the first six (crash/shutdown) months of the year. Only $831 Million of current liabilities and total debt is $4.1 Billion. Market Cap is less than 4x book value. No issues here. Income statement is a bit more hokey. They took a major charge last quarter for a "non-cash tax deferred asset". That messed up a slow but steady growing trendline. How much so? Check the CNBC graphic: 2Q: Whoops Also during the last quarter, Twitter had a massive hack where some moron tried to use the accounts of famous people to try and sell (Edit; The currency that we doth not speak its name). No word on which autist here did that. The problems continued into the last few weeks, when Twitter had a massive outage that the President blamed cited the Babylon Bee as Biden protection. That's more of a reminder that headline and political risk remains in all communication services stocks, and tomorrow we'll get a better reminder as the CEO's of Twitter, Facebook, and Microsoft testify before a Congress that hates them more than their own voters. So Twitter has execution problems, political risk, and a CEO that is still trying to decide what he wants to be when he grows up. Yet it's had a massive run up as pin action from SNAP. Does it have further room to run? Chart comparisons suggest it could. Relative Performance of SNAP, PINS, TWTR, and FB This is where I get heartburn on the short. Over the past year, PINS and SNAP have had over a 150% return. FB, much more established and with a market cap 20 times that of Twitter, has still given a respectable 46% return. Twitter is up 73%, which is a lot...until you compare it to peers like SNAP and PINS. Further, analysts are sour on Twitter, with 32 of 41 giving hold or underperform ratings, and a stock price 20% below current prices. I tend to consider them a contra-indicator, in that they move after sentiment does, usually not before. CNBC analyst summary So, I'm torn. If Dorsey can demonstrate he has finally decided to execute a business plan and fix the recurring technical/security issues, there's real value to unlock here. Short term....I'm probably willing to take a gamble that he hasn't, and buy a few puts. What say y'all? Related Positions: 6 FB 275 Nov 20 calls. No positions yet on TWTR.
Quick list of the most useful data resources in crypto
Compiled by the Messari Research team: Dune Analytics - provides a number of pre-set sector and project specific dashboards on key metrics needed to assess the health of the industry. Create custom dashboards with SQL by directly querying the Ethereum blockchain. Nansen - On-chain analysis providing various sector and project specific dashboards. Specifically useful for tracking behavior of specific ERC-20 movements from exchanges, unique addresses and large holders. Token Terminal - Great for comparing traditional financial metrics like revenue generated by various protocols. Useful for generating relative valuation comparisons. DeFi Pulse - DeFi Pulse’s Total Value Locked (TVL) metric has become the de facto approximation of the size of DeFi, calculated by summing all collateral locked in a given protocol. Etherscan - Ethereum’s tried and true block explorer. Use cases include checking the status of current on-chain transactions, looking through historical transactions, viewing top holders of a certain token, and monitoring gas fees. CoinMetrics - Broad range of on-chain, price, volume, mining, and supply data points for almost all major blockchains. Glassnode - Multi-purpose data provider offering an array of charts and dashboards like “whale watching” chart that shows the number of addresses holding more than 1,000 BTC. IntotheBlock- Another on-chain/market analytics tool great for conducting due diligence. Offers unique charts that show, for example, order book market depth. Skew - The place for derivative data across bitcoin and ethereum futures and options, useful for analyzing crypto market structure during stress tests like Black Thursday. Messari - The core screener tools allow me to keep up with short and long term price movements. The reports we’ve compiled are also great for tracking leading crypto funds. The charting tool is great for tracking year-to-date performance:
DDDD - The Rise of “Buy the Dip” Retail Investors and Why Another Crash Is Imminent
In this week's edition of DDDD (Data-driven DD), I'll be going over the real reason why we have been seeing a rally for the past few weeks, defying all logic and fundamentals - retail investors. We'll look into several data sets to see how retail interest in stock markets have reached record levels in the past few weeks, how this affected stock prices, and why we've most likely seen the top at this point, unless we see one of the "positive catalysts" that I mentioned in my previous post, which is unlikely (except for more news about Remdesivir). Disclaimer - This is not financial advice, and a lot of the content below is my personal opinion. In fact, the numbers, facts, or explanations presented below could be wrong and be made up. Don't buy random options because some person on the internet says so; look at what happened to all the SPY 220p 4/17 bag holders. Do your own research and come to your own conclusions on what you should do with your own money, and how levered you want to be based on your personal risk tolerance. Inspiration Most people who know me personally know that I spend an unhealthy amount of my free time in finance and trading as a hobby, even competing in paper options trading competitions when I was in high school. A few weeks ago, I had a friend ask if he could call me because he just installed Robinhood and wanted to buy SPY puts after seeing everyone on wallstreetbets post gains posts from all the tendies they’ve made from their SPY puts. The problem was, he actually didn’t understand how options worked at all, and needed a thorough explanation about how options are priced, what strike prices and expiration dates mean, and what the right strategy to buying options are. That’s how I knew we were at the euphoria stage of buying SPY puts - it’s when dumb money starts to pour in, and people start buying securities because they see everyone else making money and they want in, even if they have no idea what they’re buying, and price becomes dislocated from fundementals. Sure enough, less than a week later, we started the bull rally that we are currently in. Bubbles are formed when people buy something not because of logic or even gut feeling, but when people who previously weren’t involved see their dumb neighbors make tons of money from it, and they don’t want to miss out. A few days ago, I started getting questions from other friends about what stocks they should buy and if I thought something was a good investment. That inspired me to dig a bit deeper to see how many other people are thinking the same thing. Data Ever since March, we’ve seen an unprecedented amount of money pour into the stock market from retail investors. Google Search Trends \"what stock should I buy\" Google Trends 2004 - 2020 \"what stock should I buy\" Google Trends 12 months \"stocks\" Google Trends 2004 - 2020 \"stocks\" Google Trends 12 months Brokerage data Robinhood SPY holders \"Robinhood\" Google Trends 12 months wallstreetbets' favorite broker Google Trends 12 months Excerpt from E*Trade earnings statement Excerpt from Schwab earnings statement TD Ameritrade Excerpt Media cnbc.com Alexa rank CNBC viewership & rankings wallstreetbets comments / day investing comments / day Analysis What we can see from Reddit numbers, Google Trends, and CNBC stats is that in between the first week of March and first week of April, we see a massive inflow of retail interest in the stock market. Not only that, but this inflow of interest is coming from all age cohorts, from internet-using Zoomers to TV-watching Boomers. Robinhood SPY holdings and earnings reports from E*Trade, TD Ameritrade, and Schwab have also all confirmed record numbers of new clients, number of trades, and assets. There’s something interesting going on if you look closer at the numbers. The numbers growth in brokers for designed for “less sophisticated” investors (i.e. Robinhood and E*Trade) are much larger than for real brokers (i.e. Schwab and Ameritrade). This implies that the record number of new users and trade volume is coming from dumb money. The numbers shown here only really apply to the US and Canada, but there’s also data to suggest that there’s also record numbers of foreign investors pouring money into the US stock market as well. However, after the third week of March, we see the interest start to slowly decline and plateau, indicating that we probably have seen most of those new investors who wanted to have a long position in the market do so. SPX daily Rationale Pretty much everything past this point is purely speculation, and isn’t really backed up by any solid data so take whatever I say here with a cup of salt. We could see from the graph that new investor interest started with the first bull trap we saw in the initial decline from early March, and peaking right after the end of the crash in March. So it would be fair to guess that we’re seeing a record amount of interest in the stock market from a “buy the dip” mentality, especially from Robinhood-using Millennials. Here’s a few points on my rationalization of this behavior, based on very weak anecdotal evidence
They missed out of their chance of getting in the stock market at the start of the bull market that happened at the end of 2009
They’ve all seen the stock market make record gains throughout their adult lives, but believing that the market might be overheated, they were waiting for a crash
Most of them have gotten towards the stage of their lives where they actually have some savings and can finally put some money aside for investments
This stock market crash seems like their once-in-a-decade opportunity that they’ve been waiting for, so everyone jumped in
Everyone’s stuck at their homes with vast amounts of unexpected free time on their hands
Most of these new investors got their first taste in the market near the bottom, and probably made some nice returns. Of course, since they didn’t know what they were doing, they probably put a very small amount of money at first, but after seeing a 10% return over one week, validating that maybe they do know something, they decide to slowly pour in more and more of their life savings. That’s what’s been fueling this bull market. Sentiment & Magic Crayons As I mentioned previously, this bull rally will keep going until enough bears convert to bulls. Markets go up when the amount of new bullish positions outnumber the amount of new bearish positions, and vice versa. Record amounts of new investors, who previously never held a position in the market before, fueled the bullish side of this equation, despite all the negative data that has come out and dislocating the price from fundamentals. All the smart money that was shorting the markets saw this happening, and flipped to become bulls because you don’t fight the trend, even if the trend doesn’t reflect reality. From the data shown above, we can see new investor interest growth has started declining since mid March and started stagnating in early April. The declining volume in SPY since mid-March confirms this. That means, once the sentiment of the new retail investors starts to turn bearish, and everyone figures out how much the stocks they’re holding are really worth, another sell-off will begin. I’ve seen something very similar to this a few years ago with Bitcoin. Near the end of 2017, Bitcoin started to become mainstream and saw a flood of retail investors suddenly signing up for Coinbase (i.e. Robinhood) accounts and buying Bitcoin without actually understanding what it is and how it works. Suddenly everyone, from co-workers to grandparents, starts talking about Bitcoin and might have thrown a few thousand dollars into it. This appears to be a very similar parallel to what’s going on right now. Of course there’s differences here in that equities have an intrinsic value, although many of them have gone way above what they should be intrinsically worth, and the vast majority of retail investors don’t understand how to value companies. Then, during December, when people started thinking that the market was getting a bit overheated, some started taking their profits, and that’s when the prices crashed violently. This flip in sentiment now look like it has started with equities. SPY daily Technical Analysis, or magic crayons, is a discipline in finance that uses statistical analysis to predict market trends based on market sentiment. Of course, a lot of this is hand-wavy and is very subjective; two people doing TA on the same price history can end up getting opposite results, so TA should always be taken with a grain of salt and ideally be backed with underlying justification and not be blindly followed. In fact, I’ve since corrected the ascending wedge I had on SPY since my last post since this new wedge is a better fit for the new trading data. There’s a few things going on in this chart. The entire bull rally we’ve had since the lows can be modelled using a rising wedge. This is a pattern where there is a convergence of a rising support and resistance trendline, along with falling volume. This indicates a slow decline in net bullish sentiment with investors, with smaller and smaller upside after each bounce off the support until it hits a resistance. The smaller the bounces, the less bullish investors are. When the bearish sentiment takes over across investors, the price breaks below this wedge - a breakdown, and indicates a start of another downtrend. This happened when the wedge hit resistance at around 293, which is around the same price as the 200 day moving average, the 62% retracement (considered to be the upper bound of a bull trap), and a price level that acted as a support and resistance throughout 2019. The fact that it gapped down to break this wedge is also a strong signal, indicating a sudden swing in investor sentiment overnight. The volume of the break down also broke the downwards trend of volume we’ve had since the beginning of the bull rally, indicating a sudden surge of people selling their shares. This doesn’t necessarily mean that we will go straight from here, and I personally think that we will see the completion of a heads-and-shoulders pattern complete before SPY goes below 274, which in itself is a strong support level. In other words, SPY might go from 282 -> 274 -> 284 -> 274 before breaking the 274 support level. VIX Daily Doing TA is already sketchy, and doing TA on something like VIX is even more sketchy, but I found this interesting so I’ll mention it. Since the start of the bull rally, we’ve had VIX inside a descending channel. With the breakdown we had in SPY yesterday, VIX has also gapped up to have a breakout from this channel, indicating that we may see future volatility in the next week or so. Putting Everything Together Finally, we get to my thesis. This entire bull rally has been fueled by new retail investors buying the dip, bringing the stock price to euphoric levels. Over the past few weeks, we’ve been seeing the people waiting at the sidelines for years to get into the stock market slowly FOMO into the rally in smaller and smaller volumes, while the smart money have been locking in their profits at an even slower rate - hence an ascending wedge. As the amount of new retail interest in the stock market started slowed down, the amount of new bulls started to decline. It looks like Friday might have been the start of the bearish sentiment taking over, meaning it’s likely that 293 was the top, unless any significant bullish events happen in the next two weeks like a fourth round of stimulus, in which case we might see 300. This doesn’t mean we’ll instantly go back to circuit breakers on Monday, and we might see 282 -> 274 -> 284 -> 274 happen before panic, this time by the first-time investors, eventually bringing us down towards SPY 180. tldr; we've reached the top EDIT - I'll keep a my live thoughts here as we move throughout this week in case anyone's still reading this and interested. 5/4 8PM - /ES was red last night but steadily climbed, which was expected since 1h RSI was borderline oversold, leaving us to a slightly green day. /ES looks like it has momentum going up, but is approaching towards overbought territory now. Expecting it to go towards 284 (possibly where we'll open tomorrow) and bouncing back down from that price level 5/5 Market Open - Well there goes my price target. I guess at this point it might go up to 293 again, but will need a lot of momentum to push back there to 300. Seems like this is being driven by oil prices skyrocketing. 5/5 3:50PM - Volume for the upwards price action had very little volume behind it. Seeing a selloff EOD today, could go either way although I have a bearish bias. Going to hold cash until it goes towards one end of the 274-293 channel (see last week's thesis). Still believe that we will see it drop below 274 next week, but we might be moving sideways in the channel this week and a bit of next week before that happens. Plan for tomorrow is buy short dated puts if open < 285. Otherwise, wait till it goes to 293 before buying those puts 5/5 6PM - What we saw today could be a false breakout above 284. Need tomorrow to open below 285 for that to be confirmed. If so, my original thesis of it going back down to 274 before bouncing back up will still be in play. 5/6 EOD - Wasn't a false breakout. Looks like it's still forming the head-and-shoulders pattern mentioned before, but 288 instead of 284 as the level. Still not sure yet so I'm personally going to be holding cash and waiting this out for the next few days. Will enter into short positions if we either go near 293 again or drop below 270. Might look into VIX calls if VIX goes down near 30. 5/7 Market Open - Still waiting. If we break 289 we're probably heading to 293. I'll make my entry to short positions when we hit that a second time. There's very little bullish momentum left (see MACD 1D), so if we hit 293 and then drop back down, we'll have a MACD crossover event which many traders and algos use as a sell signal. Oil is doing some weird shit. 5/7 Noon - Looks like we're headed to 293. Picked up VIX 32.5c 5/27 since VIX is near 30. 5/7 11PM - /ES is hovering right above 2910, with 4h and 1h charts are bullish from MACD and 1h is almost overbought in RSI. Unless something dramatic happens we'll probably hit near 293 tomorrow, which is where I'll get some SPY puts. We might drop down before ever touching it, or go all the way to 295 (like last time) during the day, but expecting it to close at or below 293. After that I'm expecting a gap down Monday as we start the final leg down next week towards 274. Expecting 1D MACD to crossover in the final leg down, which will be a signal for bears to take over and institutions / day traders will start selling again 5/8 Market Open - Plan is to wait till a good entry today, either when technicals looks good or we hit 293, and then buy some SPY June 285p and July 275p 5/8 Noon - Everything still going according to plan. Most likely going to slowly inch towards 293 by EOD. Will probably pick up SPY puts and more VIX calls at power hour (3 - 4PM). Monday will probably gap down, although there's a small chance of one more green / sideways day before that happens if we have bullish catalysts on the weekend. 5/8 3:55PM - SPY at 292.60. This is probably going to be the closest we get to 293. Bought SPY 290-260 6/19 debit spreads and 292-272 5/15 debit spreads, as well as doubling down on VIX calls from yesterday, decreasing my cost basis. Still looks like there's room for one more green day on Monday, so I left some money on the side to double down if that's the case, although it's more likely than not we won't get there. 5/8 EOD - Looks like we barely touched 293 exactly AH before rebounding down. Too bad you can't buy options AH, but more convinced we'll see a gap down on Monday. Going to work on another post over the weekend and do my updates there. Have a great weekend everyone!
Syscoin Platform’s Great Reddit Scaling Bake-off Proposal
https://preview.redd.it/rqt2dldyg8e51.jpg?width=1044&format=pjpg&auto=webp&s=777ae9d4fbbb54c3540682b72700fc4ba3de0a44 We are excited to participate and present Syscoin Platform's ideal characteristics and capabilities towards a well-rounded Reddit Community Points solution! Our scaling solution for Reddit Community Points involves 2-way peg interoperability with Ethereum. This will provide a scalable token layer built specifically for speed and high volumes of simple value transfers at a very low cost, while providing sovereign ownership and onchain finality. Token transfers scale by taking advantage of a globally sorting mempool that provides for probabilistically secure assumptions of “as good as settled”. The opportunity here for token receivers is to have an app-layer interactivity on the speed/security tradeoff (99.9999% assurance within 10 seconds). We call this Z-DAG, and it achieves high-throughput across a mesh network topology presently composed of about 2,000 geographically dispersed full-nodes. Similar to Bitcoin, however, these nodes are incentivized to run full-nodes for the benefit of network security, through a bonded validator scheme. These nodes do not participate in the consensus of transactions or block validation any differently than other nodes and therefore do not degrade the security model of Bitcoin’s validate first then trust, across every node. Each token transfer settles on-chain. The protocol follows Bitcoin core policies so it has adequate code coverage and protocol hardening to be qualified as production quality software. It shares a significant portion of Bitcoin’s own hashpower through merged-mining. This platform as a whole can serve token microtransactions, larger settlements, and store-of-value in an ideal fashion, providing probabilistic scalability whilst remaining decentralized according to Bitcoin design. It is accessible to ERC-20 via a permissionless and trust-minimized bridge that works in both directions. The bridge and token platform are currently available on the Syscoin mainnet. This has been gaining recent attention for use by loyalty point programs and stablecoins such as Binance USD.
Syscoin Foundation identified a few paths for Reddit to leverage this infrastructure, each with trade-offs. The first provides the most cost-savings and scaling benefits at some sacrifice of token autonomy. The second offers more preservation of autonomy with a more narrow scope of cost savings than the first option, but savings even so. The third introduces more complexity than the previous two yet provides the most overall benefits. We consider the third as most viable as it enables Reddit to benefit even while retaining existing smart contract functionality. We will focus on the third option, and include the first two for good measure.
Distribution, burns and user-to-user transfers of Reddit Points are entirely carried out on the Syscoin network. This full-on approach to utilizing the Syscoin network provides the most scalability and transaction cost benefits of these scenarios. The tradeoff here is distribution and subscription handling likely migrating away from smart contracts into the application layer.
The Reddit Community Points ecosystem can continue to use existing smart contracts as they are used today on the Ethereum mainchain. Users migrate a portion of their tokens to Syscoin, the scaling network, to gain much lower fees, scalability, and a proven base layer, without sacrificing sovereign ownership. They would use Syscoin for user-to-user transfers. Tips redeemable in ten seconds or less, a high-throughput relay network, and onchain settlement at a block target of 60 seconds.
Integration between Matic Network and Syscoin Platform - similar to Syscoin’s current integration with Ethereum - will provide Reddit Community Points with EVM scalability (including the Memberships ERC777 operator) on the Matic side, and performant simple value transfers, robust decentralized security, and sovereign store-of-value on the Syscoin side. It’s “the best of both worlds”. The trade-off is more complex interoperability.
Syscoin + Matic Integration
Matic and Blockchain Foundry Inc, the public company formed by the founders of Syscoin, recently entered a partnership for joint research and business development initiatives. This is ideal for all parties as Matic Network and Syscoin Platform provide complementary utility. Syscoin offers characteristics for sovereign ownership and security based on Bitcoin’s time-tested model, and shares a significant portion of Bitcoin’s own hashpower. Syscoin’s focus is on secure and scalable simple value transfers, trust-minimized interoperability, and opt-in regulatory compliance for tokenized assets rather than scalability for smart contract execution. On the other hand, Matic Network can provide scalable EVM for smart contract execution. Reddit Community Points can benefit from both. Syscoin + Matic integration is actively being explored by both teams, as it is helpful to Reddit, Ethereum, and the industry as a whole.
Total cost for these 100k transactions: $0.63 USD See the live fee comparison for savings estimation between transactions on Ethereum and Syscoin. Below is a snapshot at time of writing: ETH price: $318.55 ETH gas price: 55.00 Gwei ($0.37) Syscoin price: $0.11 Snapshot of live fee comparison chart Z-DAG provides a more efficient fee-market. A typical Z-DAG transaction costs 0.0000582 SYS. Tokens can be safely redeemed/re-spent within seconds or allowed to settle on-chain beforehand. The costs should remain about this low for microtransactions. Syscoin will achieve further reduction of fees and even greater scalability with offchain payment channels for assets, with Z-DAG as a resilience fallback. New payment channel technology is one of the topics under research by the Syscoin development team with our academic partners at TU Delft. In line with the calculation in the Lightning Networks white paper, payment channels using assets with Syscoin Core will bring theoretical capacity for each person on Earth (7.8 billion) to have five on-chain transactions per year, per person, without requiring anyone to enter a fee market (aka “wait for a block”). This exceeds the minimum LN expectation of two transactions per person, per year; one to exist on-chain and one to settle aggregated value.
Tools to simplify using Syscoin Bridge as a service with dapps and wallets will be released some time after implementation of Syscoin Core 4.2. These will be based upon the same processes which are automated in the current live Sysethereum Dapp that is functioning with the Syscoin mainnet.
The Syscoin Ethereum Bridge is secured by Agent nodes participating in a decentralized and incentivized model that involves roles of Superblock challengers and submitters. This model is open to participation. The benefits here are trust-minimization, permissionless-ness, and potentially less legal/regulatory red-tape than interop mechanisms that involve liquidity providers and/or trading mechanisms. The trade-off is that due to the decentralized nature there are cross-chain settlement times of one hour to cross from Ethereum to Syscoin, and three hours to cross from Syscoin to Ethereum. We are exploring ways to reduce this time while maintaining decentralization via zkp. Even so, an “instant bridge” experience could be provided by means of a third-party liquidity mechanism. That option exists but is not required for bridge functionality today. Typically bridges are used with batch value, not with high frequencies of smaller values, and generally it is advantageous to keep some value on both chains for maximum availability of utility. Even so, the cross-chain settlement time is good to mention here.
Ethereum -> Syscoin: Matic or Ethereum transaction fee for bridge contract interaction, negligible Syscoin transaction fee for minting tokens Syscoin -> Ethereum: Negligible Syscoin transaction fee for burning tokens, 0.01% transaction fee paid to Bridge Agent in the form of the ERC-20, Matic or Ethereum transaction fee for contract interaction.
Zero-Confirmation Directed Acyclic Graph is an instant settlement protocol that is used as a complementary system to proof-of-work (PoW) in the confirmation of Syscoin service transactions. In essence, a Z-DAG is simply a directed acyclic graph (DAG) where validating nodes verify the sequential ordering of transactions that are received in their memory pools. Z-DAG is used by the validating nodes across the network to ensure that there is absolute consensus on the ordering of transactions and no balances are overflowed (no double-spends).
Unique fee-market that is more efficient for microtransaction redemption and settlement
Uses decentralized means to enable tokens with value transfer scalability that is comparable or exceeds that of credit card networks
Provides high throughput and secure fulfillment even if blocks are full
Probabilistic and interactive
99.9999% security assurance within 10 seconds
Can serve payment channels as a resilience fallback that is faster and lower-cost than falling-back directly to a blockchain
Each Z-DAG transaction also settles onchain through Syscoin Core at 60-second block target using SHA-256 Proof of Work consensus
Z-DAG enables the ideal speed/security tradeoff to be determined per use-case in the application layer. It minimizes the sacrifice required to accept and redeem fast transfers/payments while providing more-than-ample security for microtransactions. This is supported on the premise that a Reddit user receiving points does need security yet generally doesn’t want nor need to wait for the same level of security as a nation-state settling an international trade debt. In any case, each Z-DAG transaction settles onchain at a block target of 60 seconds.
Syscoin 3.0 White Paper (4.0 white paper is pending. For improved scalability and less blockchain bloat, some features of v3 no longer exist in current v4: Specifically Marketplace Offers, Aliases, Escrow, Certificates, Pruning, Encrypted Messaging)
16MB block bandwidth per minute assuming segwit witness carrying transactions, and transactions ~200 bytes on average
SHA256 merge mined with Bitcoin
UTXO asset layer, with base Syscoin layer sharing identical security policies as Bitcoin Core
Z-DAG on asset layer, bridge to Ethereum on asset layer
On-chain scaling with prospect of enabling enterprise grade reliable trustless payment processing with on/offchain hybrid solution
Focus only on Simple Value Transfers. MVP of blockchain consensus footprint is balances and ownership of them. Everything else can reduce data availability in exchange for scale (Ethereum 2.0 model). We leave that to other designs, we focus on transfers.
Future integrations of MAST/Taproot to get more complex value transfers without trading off trustlessness or decentralization.
Zero-knowledge Proofs are a cryptographic new frontier. We are dabbling here to generalize the concept of bridging and also verify the state of a chain efficiently. We also apply it in our Digital Identity projects at Blockchain Foundry (a publicly traded company which develops Syscoin softwares for clients). We are also looking to integrate privacy preserving payment channels for off-chain payments through zkSNARK hub & spoke design which does not suffer from the HTLC attack vectors evident on LN. Much of the issues plaguing Lightning Network can be resolved using a zkSNARK design whilst also providing the ability to do a multi-asset payment channel system. Currently we found a showstopper attack (American Call Option) on LN if we were to use multiple-assets. This would not exist in a system such as this.
Web3 and mobile wallets are under active development by Blockchain Foundry Inc as WebAssembly applications and expected for release not long after mainnet deployment of Syscoin Core 4.2. Both of these will be multi-coin wallets that support Syscoin, SPTs, Ethereum, and ERC-20 tokens. The Web3 wallet will provide functionality similar to Metamask. Syscoin Platform and tokens are already integrated with Blockbook. Custom hardware wallet support currently exists via ElectrumSys. First-class HW wallet integration through apps such as Ledger Live will exist after 4.2. Current supported wallets Syscoin Spark Desktop Syscoin-Qt
Lines of Navigation | Monthly Portfolio Update - July 202
Our little systems have their day; They have their day and cease to be - Tennyson, In Memoriam A.H.H. This is my forty-fourth portfolio update. I complete this update monthly to check my progress against my goal. Portfolio goal My objective is to reach a portfolio of $2 180 000 by 1 July 2021. This would produce a real annual income of about $87 000 (in 2020 dollars). This portfolio objective is based on an expected average real return of 3.99 per cent, or a nominal return of 6.49 per cent. Portfolio summary
Vanguard Lifestrategy High Growth Fund - $716 680
Vanguard Lifestrategy Growth Fund - $41 103
Vanguard Lifestrategy Balanced Fund - $77 788
Vanguard Diversified Bonds Fund - $111 667
Vanguard Australian Shares ETF (VAS) - $202 336
Vanguard International Shares ETF (VGS) - $54 872
Betashares Australia 200 ETF (A200) - $230 058
Telstra shares (TLS) -$1 785
Insurance Australia Group shares (IAG) - $6 449
NIB Holdings shares (NHF) - $5 316
Gold ETF (GOLD.ASX) - $124 756
Secured physical gold - $20 070
Ratesetter (P2P lending) - $9 881
Bitcoin - $173 010
Raiz app (Aggressive portfolio) - $17 258
Spaceship Voyager app (Index portfolio) -$2 619
BrickX (P2P rental real estate) - $4 471
Total portfolio value: $1 800 119 (+$34 376 or 1.9%) Asset allocation
Australian shares - 41.1%
Global shares- 22.2%
Emerging market shares - 2.2%
International small companies - 2.9%
Total international shares - 27.3%
Total shares - 68.4% (6.6% under)
Total property securities - 0.2% (0.2% over)
Australian bonds - 4.5%
International bonds - 9.1%
Total bonds - 13.6% (1.4% under)
Gold - 8.0%
Bitcoin - 9.6%
Gold and alternatives - 17.7% (7.7% over)
Presented visually, below is a high-level view of the current asset allocation of the portfolio. [Chart] Comments The portfolio has substantially increased this month, continuing the recovery in portfolio value since March. The strong portfolio growth of over $34 000, or 1.9 per cent, returns the value of the portfolio close to that achieved at the end of February this year. [Chart] This month there was minimal movement in the value of Australian and global equity holdings, There was, however, a significant lift of around 6 per cent in the value of gold exchange traded fund units, as well as a rise in the value of Bitcoin holdings. These movements have pushed the value of gold holdings to their highest level so far on the entire journey. Their total value has approximately doubled since the original major purchases across 2009 to 2015. For most of the past year gold has functioned as a portfolio stabiliser, having a negative correlation to movements in Australian equities (of around -0.3 to -0.4). As low and negative bond rates spread across the world, however, the opportunity cost of holding gold is reduced, and its potential diversification benefits loom larger. The fixed income holdings of the portfolio also continued to fall beneath the target allocation, making this question of what represents a defensive (or negatively correlated to equity) asset far from academic. This steady fall is a function of the slow maturing of Ratesetter loans, which were largely made between 2015 and 2017. Ratesetter has recently advised of important changes to its market operation, and placed a fixed maximum cap on new loan rates. By replacing market set rates with maximum rates, the peer-to-peer lending platform appears to be shifting to more of a 'intermediated' role in which higher past returns (of around 8 to 9 per cent) will now no longer be possible. [Chart] The expanding value of gold and Bitcoin holdings since January last year have actually had the practical effect of driving new investments into equities, since effectively for each dollar of appreciation, for example, my target allocation to equities rises by seven dollars. Consistent with this, investments this month have been in the Vanguard international shares exchange-traded fund (VGS) using Selfwealth. This has been directed to bring my actual asset allocation more closely in line with the target split between Australian and global shares. Fathoming out: franking credits and portfolio distributions Earlier last month I released a summary of portfolio income over the past half year. This, like all before it, noted that the summary was prepared on a purely 'cash' basis, reflecting dividends actually paid into a bank account, and excluding consideration of franking credits. Franking credits are credits for company tax paid at the company level, which can be passed to individual shareholders, reducing their personal tax liability. They are not cash, but for a personal investor with tax liabilities they can have equivalent value. This means that comparing equity returns to other investments without factoring these credits can produce a distorted picture of an investor's final after-tax return. In past portfolio summaries I have noted an estimate for franking credits in footnotes, but updating the value for this recently resulted in a curiosity about the overall significance of this neglected element of my equity returns. This neglect resulted from my perception earlier in the journey that they represented a marginal and abstract factor, which could effectively be assumed away for the sake of simplicity in reporting. This is not a wholly unfair view, in the sense that income physically received and able to be spent is something definably different in kind than a notional 'pre-payment' credit for future tax costs. Yet, as the saying goes, because the prospect of personal tax is as certain as extinction from this world, in some senses a credit of this kind can be as valuable as a cash distribution. Restoring the record: trends and drivers of franking credits To collect a more accurate picture of the trends and drivers of franking credits I relied on a few sources - tax statements, records and the automatic franking credit estimates that the portfolio tracking site Sharesight generates. The chart below sets out both the level and major different sources of franking credits received over the past eleven years. [Chart] From this chart some observations can be made.
The level of franking credits has grown substantially over the past ten years - from a total of under $1 000 per year to around $8 000 annually.
Recent years have seen a particularly high accrual of franking credits - such that by value, over half of the total value of franking credits has been received over the past three financial years.
These credits now constitute a significant element in total realised returns - in the last financial year the value of franking credits represented a 12 per cent boost to the total level of cash distributions, and over the past two years they have contributed around $8 000 each year to the total level of after-tax returns. This is the equivalent of the portfolio paying nearly $700 per month in tax liabilities.
The key reason for the rapid growth over the recent decade has been the increased investment holdings in Australian equities. As part of the deliberate rebalancing towards Australian shares across the past two years, these holdings have expanded. The chart below sets out the total value of Australian shares held over the comparable period. [Chart] As an example, at the beginning of this record Australian equities valued at around $276 000 were held. Three years later, the holding were nearly three times larger. The phase of consistently increasing the Australian equities holding to meet its allocated weighting is largely complete. This means that the period of rapid growth seen in the past few years is unlikely to repeat. Rather, growth will revert to be in proportion to total portfolio growth. Close to cross-over: the credit card records One of the most powerful initial motivators to reach financial independence was the concept of the 'cross over' point in Vicki Robins and Joe Dominguez's Your Money or Your Life. This was the point at which monthly expenses are exceeded by investment income. One of the metrics I have traced is this 'cross-over' point in relation to recorded credit card expenses. And this point is now close indeed. Expenditures on the credit card have continued their downward trajectory across the past month. The three year rolling average of monthly credit card spending remains at its lowest point over the period of the journey. Distributions on the same basis now meet over 99 per cent of card expenses - with the gap now the equivalent of less than $50 per month. [Chart] The period since April of the achievement of a notional and contingent form of financial independence has continued. The below chart illustrates this temporary state, setting out the the extent to which to which portfolio distributions (red) cover estimated total expenses (green), measured month to month. [Chart] An alternative way to view the same data is to examine the degree to which total expenses (i.e. fixed payments not made on credit card added to monthly credit card expenses) are met by distributions received. An updated version of this is seen in the chart below. [Chart] Interestingly, on a trend basis, this currently identifies a 'crossing over' point of trend distributions fully meeting total expenditure from around November 2019. This is not conclusive, however, as the trend curve is sensitive to the unusual COVID-19 related observations of the first half of this year, and could easily shift further downward if normal expense patterns resume. One issue this analysis raises is what to do with the 'credit card purchases' measure reported below. This measure is designed to provide a stylised benchmark of how close the current portfolio is to a target of generating the income required to meet an annual average credit card expenditure of $71 000. The problem with this is that continued falling credit card spending means that average credit card spending is lower than that benchmark for all time horizons - measured as three and four year averages, or in fact taken as a whole since 2013. So the set benchmark may, if anything, be understating actual progress compared the graphs and data above by not reflecting changing spending levels. In the past I have addressed this trend by reducing the benchmark. Over coming months, or perhaps at the end of the year, I will need to revisit both the meaning, and method, of setting this measure. Progress Progress against the objective, and the additional measures I have reached is set out below. Measure Portfolio All Assets Portfolio objective – $2 180 000 (or $87 000 pa) 82.6% 111.5% Credit card purchases – $71 000 pa 100.7% 136.0% Total expenses – $89 000 pa 80.7% 109.0% Summary One of the most challenging aspects of closing in on a fixed numerical target for financial independence with risk assets still in place is that the updrafts and downdrafts of market movements can push the goal further away, or surprisingly close. There have been long period of the journey where the total value of portfolio has barely grown, despite regular investments being made. As an example, the portfolio ended 2018 lower than it started the year. The past six months have been another such period. This can create a sense of treading water. Yet amidst the economic devastation affecting real lives and businesses, this is an extremely fortunate position to be in. Australia and the globe are set to experience an economic contraction far more severe than the Global Financial Crisis, with a lesser capacity than previously for interest rates to cushion the impact. Despite similar measures being adopted by governments to address the downturn, it is not clear whether these are fit for purpose. Asset allocation in this environment - of being almost suspended between two realities - is a difficult problem. The history of markets can tell us that just when assets seem most 'broken', they can produce outsized returns. Yet the problem remains that far from being surrounded by broken markets, the proliferation appears to be in bubble-like conditions. This recent podcast discussion with the founder of Grant's Interest Rate Observer provided a useful historical context to current financial conditions this month. One of the themes of the conversation was 'thinking the unthinkable', such as a return of inflation. Similar, this Hoover Institute video discussion, with a 'Back from the future' premise, provides some entertaining, informed and insightful views on the surprising and contingent nature of what we know to be true. Some of our little systems may well have had their day, but what could replace them remains obscured to any observer. The post, links and full charts can be seen here.
Testing the Tide | Monthly FIRE Portfolio Update - June 2020
We would rather be ruined than changed. -W H Auden, The Age of Anxiety This is my forty-third portfolio update. I complete this update monthly to check my progress against my goal. Portfolio goal My objective is to reach a portfolio of $2 180 000 by 1 July 2021. This would produce a real annual income of about $87 000 (in 2020 dollars). This portfolio objective is based on an expected average real return of 3.99 per cent, or a nominal return of 6.49 per cent. Portfolio summary Vanguard Lifestrategy High Growth Fund – $726 306 Vanguard Lifestrategy Growth Fund – $42 118 Vanguard Lifestrategy Balanced Fund – $78 730 Vanguard Diversified Bonds Fund – $111 691 Vanguard Australian Shares ETF (VAS) – $201 745 Vanguard International Shares ETF (VGS) – $39 357 Betashares Australia 200 ETF (A200) – $231 269 Telstra shares (TLS) – $1 668 Insurance Australia Group shares (IAG) – $7 310 NIB Holdings shares (NHF) – $5 532 Gold ETF (GOLD.ASX) – $117 757 Secured physical gold – $18 913 Ratesetter (P2P lending) – $10 479 Bitcoin – $148 990 Raiz app (Aggressive portfolio) – $16 841 Spaceship Voyager app (Index portfolio) – $2 553 BrickX (P2P rental real estate) – $4 484 Total portfolio value: $1 765 743 (+$8 485 or 0.5%) Asset allocation Australian shares – 42.2% (2.8% under) Global shares – 22.0% Emerging markets shares – 2.3% International small companies – 3.0% Total international shares – 27.3% (2.7% under) Total shares – 69.5% (5.5% under) Total property securities – 0.3% (0.3% over) Australian bonds – 4.7% International bonds – 9.4% Total bonds – 14.0% (1.0% under) Gold – 7.7% Bitcoin – 8.4% Gold and alternatives – 16.2% (6.2% over) Presented visually, below is a high-level view of the current asset allocation of the portfolio. [Chart] Comments The overall portfolio increased slightly over the month. This has continued to move the portfolio beyond the lows seen in late March. The modest portfolio growth of $8 000, or 0.5 per cent, maintains its value at around that achieved at the beginning of the year. [Chart] The limited growth this month largely reflects an increase in the value of my current equity holdings, in VAS and A200 and the Vanguard retail funds. This has outweighed a small decline in the value of Bitcoin and global shares. The value of the bond holdings also increased modestly, pushing them to their highest value since around early 2017. [Chart] There still appears to be an air of unreality around recent asset price increases and the broader economic context. Britain's Bank of England has on some indicators shown that the aftermath of the pandemic and lockdown represent the most challenging financial crisis in around 300 years. What is clear is that investor perceptions and fear around the coronavirus pandemic are a substantial ongoing force driving volatility in equity markets (pdf). A somewhat optimistic view is provided here that the recovery could look more like the recovery from a natural disaster, rather than a traditional recession. Yet there are few certainties on offer. Negative oil prices, and effective offers by US equity investors to bail out Hertz creditors at no cost appear to be signs of a financial system under significant strains. As this Reserve Bank article highlights, while some Australian households are well-placed to weather the storm ahead, the timing and severity of what lays ahead is an important unknown that will itself feed into changes in household wealth from here. Investments this month have been exclusively in the Australian shares exchange-traded fund (VAS) using Selfwealth.* This has been to bring my actual asset allocation more closely in line with the target split between Australian and global shares. A moving azimuth: falling spending continues Monthly expenses on the credit card have continued their downward trajectory across the past month. [Chart] The rolling average of monthly credit card spending is now at its lowest point over the period of the journey. This is despite the end of lockdown, and a slow resumption of some more normal aspects of spending. This has continued the brief period since April of the achievement of a notional and contingent kind of financial independence. The below chart illustrates this temporary state, setting out the degree to which portfolio distributions cover estimated total expenses, measured month to month. [Chart] There are two sources of volatility underlying its movement. The first is the level of expenses, which can vary, and the second is the fact that it is based on financial year distributions, which are themselves volatile. Importantly, the distributions over the last twelve months of this chart is only an estimate - and hence the next few weeks will affect the precision of this analysis across its last 12 observations. Estimating 2019-20 financial year portfolio distributions Since the beginning of the journey, this time of year usually has sense of waiting for events to unfold - in particular, finding out the level of half-year distributions to June. These represent the bulk of distributions, usually averaging 60-65 per cent of total distributions received. They are an important and tangible signpost of progress on the financial independence journey. This is no simple task, as distributions have varied in size considerably. A part of this variation has been the important role of sometimes large and lumpy capital distributions - which have made up between 30 to 48 per cent of total distributions in recent years, and an average of around 15 per cent across the last two decades. I have experimented with many different approaches, most of which have relied on averaging over multi-year periods to even out the 'peaks and troughs' of how market movements may have affected distributions. The main approaches have been:
An 'adjusted income' approach - stripping out the capital gains components of Vanguard funds to reach an estimate of underlying income generation, both across the entire investment period, and during the sharpest low of the Global Financial Crisis
A long-term asset class approach - relying on long-term historical data on averages of the income produced by various asset classes
A 'tax method' approach - this derives an income estimate as a percentage of the portfolio by drawing on taxable investment income totals from tax return records
Simple historical rolling average - this is a rolling three-year measure, based on the actual distributions record of the portfolio
Average distribution rate approach - this method uses a long-term average of annual distributions received as a percentage of the total portfolio since 1999
Each of these have their particular simplifications, advantages and drawbacks. Developing new navigation tools Over the past month I have also developed more fully an alternate 'model' for estimating returns. This simply derives a median value across a set of historical 'cents per unit' distribution data for June and December payouts for the Vanguard funds and exchange traded funds. These make up over 96 per cent of income producing portfolio assets. In other words, this model essentially assumes that each Vanguard fund and ETF owned pays out the 'average' level of distributions this half-year, with the average being based on distribution records that typically go back between 5 to 10 years. Mapping the distribution estimates The chart below sets out the estimate produced by each approach for the June distributions that are to come. [Chart] Some observations on these findings can be made. The lowest estimate is the 'adjusted GFC income' observation, which essentially assumes that the income for this period is as low as experienced by the equity and bond portfolio during the Global Financial Crisis. Just due to timing differences of the period observed, this seems to be a 'worst case' lower bound estimate, which I do not currently place significant weight on. Similarly, at the highest end, the 'average distribution rate' approach simply assumes June distributions deliver a distribution equal to the median that the entire portfolio has delivered since 1999. With higher interest rates, and larger fixed income holdings across much of that time, this seems an objectively unlikely outcome. Similarly, the delivery of exactly the income suggested by long-term averages measured across decades and even centuries would be a matter of chance, rather than the basis for rational expectations. Central estimates of the line of position This leaves the estimates towards the centre of the chart - estimates of between around $28 000 to $43 000 as representing the more likely range. I attach less weight to the historical three-year average due to the high contribution of distributed capital gains over that period of growth, where at least across equities some capital losses are likely to be in greater presence. My preferred central estimate is the model estimate (green) , as it is based in historical data directly from the investment vehicles rather than my own evolving portfolio. The data it is based on in some cases goes back to the Global Financial Crisis. This estimate is also quite close to the raw average of all the alternative approaches (red). It sits a little above the 'adjusted income' measure. None of these estimates, it should be noted, contain any explicit adjustment for the earnings and dividend reductions or delays arising from COVID-19. They may, therefore represent a modest over-estimate for likely June distributions, to the extent that these effects are more negative than those experienced on average across the period of the underlying data. These are difficult to estimate, but dividend reductions could easily be in the order of 20-30 per cent, plausibly lowering distributions to the $23 000 to $27 000 range. The recently announced forecast dividend for the Vanguard Australian Shares ETF (VAS) is, for example, the lowest in four years. As seen from chart above, there is a wide band of estimates, which grow wider still should capital gains be unexpectedly distributed from the Vanguard retail funds. These have represented a source of considerable volatility. Given this, it may seem fruitless to seek to estimate these forthcoming distributions, compared to just waiting for them to arrive. Yet this exercise helps by setting out reasoning and positions, before hindsight bias urgently arrives to inform me that I knew the right answer all along. It also potentially helps clearly 'reject' some models over time, if the predictions they make prove to be systematically incorrect. Progress Progress against the objective, and the additional measures I have reached is set out below. Measure Portfolio All Assets Portfolio objective – $2 180 000 (or $87 000 pa) 81.0% 109.4% Credit card purchases – $71 000 pa 98.8% 133.5% Total expenses – $89 000 pa 79.2% 106.9% Summary The current coronavirus conditions are affecting all aspects of the journey to financial independence - changing spending habits, leading to volatility in equity markets and sequencing risks, and perhaps dramatically altering the expected pattern of portfolio distributions. Although history can provide some guidance, there is simply no definitive way to know whether any or all of these changes will be fundamental and permanent alterations, or simply data points on a post-natural disaster path to a different post-pandemic set of conditions. There is the temptation to fit past crises imperfectly into the modern picture, as this Of Dollars and Data post illustrates well. Taking a longer 100 year view, this piece 'The Allegory of the Hawk and Serpent' is a reminder that our entire set of received truths about constructing a portfolio to survive for the long-term can be a product of a sample size of one - actual past history - and subject to recency bias. This month has felt like one of quiet routines, muted events compared to the past few months, and waiting to understand more fully the shape of the new. Nonetheless, with each new investment, or week of lower expenditure than implied in my FI target, the nature of the journey is incrementally changing - beneath the surface. Small milestones are being passed - such as over 40 per cent of my equity holdings being outside of the the Vanguard retail funds. Or these these retail funds - which once formed over 95 per cent of the portfolio - now making up less than half. With a significant part of the financial independence journey being about repeated small actions producing outsized results with time, the issue of maintaining good routines while exploring beneficial changes is real. Adding to the complexity is that embarking on the financial journey itself is likely to change who one is. This idea, of the difficulty or impossibility of knowing the preferences of a future self, is explored in a fascinating way in this Econtalk podcast episode with a philosophical thought experiment about vampires. It poses the question: perhaps we can never know ourselves at the destination? And yet, who would rationally choose ruin over any change? The post, links and full charts can be seen here.
AMM + Limit Order, Will OneSwap Replace Traditional Exchange?
When a thing is denied, something new starts at a higher level. The update and iteration of the currency circle takes only a few days. On August 13, Yam, the token of a popular DeFi project, plummeted by 98%, while YFI, another DeFi cryptocurrency, outran the digital currency Bitcoin Gold by value under capital operation. According to their familiarity with DeFi, blockchain investors in 2020 can be divided into two categories. The "New" investors are active in DEXs such as UniSwap and Balancer, striving for hundredfold returns on investment amid fake projects, while the "old" investors stick to mainstream cryptocurrencies and advocate value investment in the three major CEXs. Despite its long history, DEX did not prosper until recently. It has processed transactions of over US$520 million in the past 24 hours, and the trading volume for the past week has exceeded the figure across 2019. But still, many people are stranger to DEX. I.Will DEX shuffle the existing trading market? Upon discovering something new, you can describe it, but never evaluate it superficially. UniSwap occupies 55% of the entire DEX market. Celebrities in the circle enjoy discussing the changes brought by UniSwap on social media and how it will change the existing trading landscape. On August 5, Jay, CEO of OKEX Exchange, publicly stated that "UniSwap can hardly replace the current mainstream exchanges." on Weibo. He also listed two reasons:
With insufficient transaction depth, UniSwap cannot support large transactions;
UniSwap cannot set prices independently, but has to follow the prices set by other exchanges.
I applied price discovery algorithms to 5 Min OHLCV data from Bitmex and CME contracts and Bitstamp, Coinbase, HitBTC, Kraken, Poloniex, Binance, and OkEx BTCUSD/BTCUSDT markets from March 2016 to May 2020. Some exciting results I got was:
Before the 2017/18 bull run, Bitfinex dominated the price discovery process. They started the run. But as the price increased, trades on other exchanges, Binance and Bitstamp played a more dominant role in leading the price up.
Since then, CME Contracts and Bitmex contracts have had an increasing role in price discovery. Today Bitmex and CME Contracts play the most substantial role in determining the direction of Bitcoin price.
In 2020, market dominance by Bitmex has been negatively correlated with price. Dominance by Bitfinex, Huobi and OkCoin has had high positive correlation with price.
Price discovery is the overall process of setting the price of an asset. Price discovery algorithms identify the leader exchanges whose traders define the price. Two approaches are most famous for use in Price Discovery. Gonzalo and Granger (1995) and Hasbrouck (1995). But they assume random walk, and a common efficient price. I do not feel comfortable assuming random walk and common efficient price in Bitcoin Markets. So I used this little know method by De Blasis (2019) for this analysis. This work assumes that "the fastest price to reflect new information releases a price signal to the other slower price series." I thought this was valid in our market. It uses Markov Chains to measure Price Discovery. Without going into the mathematical details the summary steps used was:
Data is first grouped into a daily interval. Then inside each daily interval's 5-minute candles, the change in prices between the current time t and previous time t-1 is calculated. The difference across the same time t across all exchanges in a given day is juxtaposed to create an initial matrix.
The initial matrix is used to create a Transition Matrix, which measures the probability of price changing to something else at time t+1 for its state at t.
Then other Markov Chain based algorithms are used to measure the influence an exchange at time t had over all other exchanges' price movement at time t+1 individually.
Reduction and normalization is done to this data. In the end, each exchange receives a single number that sums to 1 for a given day.
De Blasis (2019) names this number Price Leadership Share (PLS). High PLS indicates a large role in price discovery. As the sum of the numbers is 1, they can be looked at as a percentage contribution. I recommend reading the original paper if you are interested to know more about the mathematical detail.
Andersen (2000) argues that 5 Minute window provides the best trade-off between getting enough data and avoiding noise. In one of the first work on Bitcoin's Price Discovery, Brandvold et al. 2015 had used 5M window. So I obtained 5M OHLCV data using the following sources:
Poloniex, Bitfinex, Binance and HitBTC: Exchange's API through CCXT.
CME: Okay, this was was supposed to be tricky and expensive. I broke a TOS and scraped the data for free, removing the expensive part from the equation. I will not go into detail about where I scraped this data.
Futures data are different from other data because multiple futures contract trades at the same time. I formed a single data from the multiple time series by selecting the nearest contract until it was three days from expiration. I used the next contract when the contract was three days from expiration. This approach was advocated by Booth et al ( 1999 )
I can't embed the chart on reddit so open this https://warproxxx.github.io/static/price_discovery.html In the figure above, each colored line shows the total influence the exchange had towards the discovery of Bitcoin Price on that day. Its axis is on the left. The black line shows a moving average of the bitcoin price at the close in Bitfinex for comparison. The chart was created by plotting the EMA of price and dominance with a smoothing factor of 0.1. This was done to eliminate the noise. Let's start looking from the beginning. We start with a slight Bitfinex dominance at the start. When the price starts going up, Bitfinex's influence does too. This was the time large Tether printing was attributed to the rise of price by many individuals. But Bitfinex's influence wanes down as the price starts rising (remember that the chart is an exponential moving average. Its a lagging indicator). Afterward, exchanges like Binance and Bitstamp increase their role, and there isn't any single leader in the run. So although Bitfinex may have been responsible for the initial pump trades on other exchanges were responsible for the later rally. CME contracts were added to our analysis in February 2018. Initially, they don't have much influence. On a similar work Alexandar and Heck (2019) noted that initially CBOE contracts had more influence. CBOE later delisted Bitcoin futures so I couldn't get that data. Overall, Bitmex and CME contracts have been averaging around 50% of the role in price discovery. To make the dominance clear, look at this chart where I add Bitmex Futures and Perp contract's dominance figure to create a single dominance index. There bitmex leads 936 of the total 1334 days (Bitfinex leads 298 days and coinbase and binance get 64 and 6 days). That is a lot. One possible reason for this might be Bitmex's low trading fee. Bitmex has a very generous -0.025% maker fee and price discovery tend to occur primarily in the market with smaller trading costs (Booth et al, 1999). It may also be because our market is mature. In mature markets, futures lead the price discovery.
Table 1: Days Lead
Out of 1334 days in the analysis, Bitmex futures leads the discovery in 571 days or nearly 43% of the duration. Bitfinex leads for 501 days. Bitfinex's high number is due to its extreme dominance in the early days.
Table 2: Correlation between the close price and Exchange's dominance index
Binance, Huobi, CME, and OkCoin had the most significant correlation with the close price. Bitmex, Coinbase, Bitfinex, and Bitstamp's dominance were negatively correlated. This was very interesting. To know more, I captured a yearwise correlation.
Table 3: Yearwise Correlation between the close price and Exchange's dominance index Price movement is pretty complicated. If one factor, like a dominant exchange, could explain it, everyone would be making money trading. With this disclaimer out of the way, let us try to make some conclusions. This year Bitfinex, Huobi, and OkEx, Tether based exchanges, discovery power have shown a high correlation with the close price. This means that when the traders there become successful, price rises. When the traders there are failing, Bitmex traders dominate and then the price is falling. I found this interesting as I have been seeing the OkEx whale who has been preceding price rises in this sub. I leave the interpretation of other past years to the reader.
My analysis does not include market data for other derivative exchanges like Huobi, OkEx, Binance, and Deribit. So, all future market's influence may be going to Bitmex. I did not add their data because they started having an impact recently. A more fair assessment may be to conclude this as the new power of derivative markets instead of attributing it as the power of Bitmex. But Bitmex has dominated futures volume most of the time (until recently). And they brought the concept of perpetual swaps.
There is a lot in this data. If you are making a trading algo think there is some edge here. Someday I will backtest some trading logic based on this data. Then I will have more info and might write more. But, this analysis was enough for to shift my focus from a Bitfinex based trading algorithm to a Bitmex based one. It has been giving me good results. If you have any good ideas that you want me to write about or discuss further please comment. If there is enough interest in this measurement, I can setup a live interface that provides the live value.
Why Ethereum Problems Make UMI the Flagship Among the New Generation Cryptocurrencies
https://preview.redd.it/8skuypxp9lj51.jpg?width=1023&format=pjpg&auto=webp&s=ba5a38ba592428f92dc7c1943a780ff127132875 Ethereum cryptocurrency that comes second in terms of capitalization on the crypto market is traditionally seen as fast and profitable. However, over the last few weeks it's had a rough patch. Since early August, the network has had huge queues of transactions pending processing while fees have skyrocketed and surpassed the historical high. The main issue though is that even fees of a few dollars per transfer don't help get rid of the“traffic jams”. The cause of this is numerous DeFi projects and a huge number of financial pyramids based on the Ethereum platform. Both generate excessive load on the network. The situation is downright unpleasant, and our users might question whether the UMI network could face a similar challenge? We'd like to assure you it could not. The UMI network is by default protected against these problems — it cannot have “traffic jams”, fees or financial pyramids. But first things first. How has the Ethereum network ground to a halt? In its report dated August 4, Arcane Research that provides analysis within the field of cryptocurrency stated that over the previous week the daily size of transaction fees in the Ethereum network has surged up to a record high for over two and a half years. On August 3, the median value #%D0%9F%D1%80%D0%B8%D0%BC%D0%B5%D1%80_%D0%B8%D1%81%D0%BF%D0%BE%D0%BB%D1%8C%D0%B7%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D1%8F)of the fee amounted to $0.82, with the overall amount of transaction fees totaling $2 mln. However, it only signaled the start of real problems. Over the next week, fees continued to grow and by August 11 the median fee value almost doubled equaling $1.57. Larry Cermak, an expert at a big analytical and news-making crypto portal The Block, wrote in his August 15 tweet that over a week the total amount of transaction fees in the Ethereum network totaled $34.5 mln, having surpassed its historical high. Meanwhile, in the Bitcoin network that is seen as too expensive the fees were almost four times lower at $9 mln. The total fee amount paid by cryptocurrency users over a week:
Ethereum — $34.5 mln;
Bitcoin — $9 mln;
Monero — $2,240;
Tezos — $1,876;
Cardano — $1,615;
XRP — $1,138;
BSV — $1,102;
Stellar — $1,059;
Bitcoin Cash — $1,027;
UMI — $0. Let's talk about it a little later.
https://preview.redd.it/z9azd9v6alj51.png?width=1600&format=png&auto=webp&s=25c365d6e14665ecda4a2b8d19b2fc57dd5cde1e Historical Growth Chart for Ethereum Fees.Source The existing situation shows that Ethereum is actually not as fast and profitable as commonly cited. Additionally, this could happen to almost any cryptocurrency except UMI that charges no fees whatsoever. We will tell you why. Why have these problems emerged? There is nothing unoriginal: the Ethereum network simply can't handle an increased load. Arcane Research analysts consider that a principal cause of this situation is the constantly increasing number of the DeFi ecosystem projects built on the Ethereum blockchain. Their number is growing all the time which causes the overload of the network. As of August 12, the total amount of funds in DeFi applications reached $4.3 billion which is 19.5% higher than that in the past week. At the time of writing this article, the amount surged to $6.21 billion. You can see the current data here. What is the most unpleasant about DeFi protocols is that a lot of them are scam projects. Which is not the worst part though. There is also another factor that significantly slows down the Ethereum network. There are a lot of pyramid-like projects that are built on the EOS platform and use smart contracts. One of them is SmartWay Forsage, which regularly overloads the network with a large number of transactions, causes traffic jams, and, consequently, leads to increased fees (keep in mind that Ethereum miners choose transactions with a higher commission). Vitalik Buterin, the co-founder of Ethereum, revealed his disapproval of the SmartWay Forsage methodology and asked them to "leave and not pollute Ethereum ecology in the future". However, the project is slow to do this — it continues to deceive users. This is only the tip of the iceberg of scam projects which abounds on the EOS network –– they continually emerge, work for a while, then go down as scams and are replaced with new ones. This never-ending stream of "investment projects" based on the Ponzi scheme overloads the system. This is the reason why Adam Back, a pioneer of the crypto industry and founder of the technology company Blockstream, equated Ethereum with such infamous projects as Onecoin and Bitconnect. Adam Back's solid dig at Ethereum became the subject of much debate among crypto enthusiasts. Of course, it all doesn't mean that Ethereum is a bad cryptocurrency. On the contrary, it has a lot of advantages over other coins. But all that has happened exposes Ethereum's faults which must be eliminated. The problem is that they may not be fixable. It is far from certain that the developers will be able to get rid of all the defects as the system has huge scalability problems. The crypto community has to admit that Ethereum, like other first-generation cryptocurrencies, has issues with capacity, fees, and scalability and is gradually becoming obsolete. 2020 is the time for young innovative cryptocurrencies such as UMI. UMI is the flagship of new-generation cryptocurrencies. In real fact, any cryptocurrency could face it. Each cryptocurrency charges fees which typically surge when the network is overloaded or the price is going up. Everyone will remember 2017 when in line with price growth and the network's overload Bitcoin transaction fee reached a high of around $40. But when it comes to UMI, it works the other way round. The UMI network's advantages are high capacity, no fees, and scaling possibilities. It uses the best and fastest crypto industry solutions and excludes all inefficient methods by default. Smart optimization in combination with the Proof-of-Authority technology operating on the master node basis enables almost instant payments. At the stage of network testing, an incredibly high capacity was achieved:
up to 4,369 transactions per second;
up to 262,140 transactions per minute;
up to 15,728,400 transactions per hour;
up to 377,481,600 transactions per day.
Ethereum processes about 20 transactions per second. It means that the UMI network can process transactions that Ethereum processes over a year in 1 to 5 days — and with no fees. https://preview.redd.it/rwohnov3alj51.png?width=1125&format=png&auto=webp&s=4329b75c0bd8b7a22276b529f5ca433d17a0874f The UMI network can process transactions that Ethereum processes over a year in a few days and with no fees.More details What is more important is that less than 0.001% of the network's overall potential is used now. The UMI network has a lot of reserve capacity and can handle hundreds of thousands of times heavier load. Moreover, with scaling possibilities, UMI can keep up with the times. The UMI code ensures the safe introduction of any upgrades — the network can be easily modified and scaled with cutting edge technology solutions. In other words, traffic jams will never pose a problem for us. UMI will instantly process all transactions, with no fees. Always. https://preview.redd.it/t0068th0alj51.png?width=544&format=png&auto=webp&s=019f46ec8c093480c4638cf098312a5a146134a8 A real-time speedometer displays the number of transactions processed by the UMI network per second.Link Additionally, unlike Ethereum and other cryptocurrencies, the UMI's staking smart contract prevents possibilities of any pyramid schemes, meaning eliminates their negative influence. Our staking is completely safe and secured against scammers. Read more about this in our article. Any UMI staking structure could work forever. In other words, you can multiply your coins at a rate of up to 40% per month for an indefinitely long period of time. UMI doesn't inherit the disadvantages of the first-generation cryptocurrencies. This is an innovative, carefully designed network based on state-of-the-art technologies. UMI is an ambitious step toward the future. And we're making it together right now! Sincerely yours, UMI team
The power players of consumer finance in the 21st century will be crypto-native companies who build with blockchain technology at their core.
The crypto landscape is still nascent. We’re still very much in the fragmented, unbundled phase of the industry lifecycle. Beyond what Genesis Block is doing, there are signs of other companies slowly starting to bundle financial services into what could be an all-in-one bank replacement. So the key question that this series hopes to answer:
Which crypto-native company will successfully become the bank of the future?
We obviously think Genesis Block is well-positioned to win. But we certainly aren’t the only game in town. In this series, we’ll be doing an analysis of who is most capable of thwarting our efforts. We’ll look at categories like crypto exchanges, crypto wallets, centralized lending & borrowing services, and crypto debit card companies. Each category will have its own dedicated post. Today we’re analyzing big crypto exchanges. The two companies we’ll focus on today are Coinbase (biggest American exchange) and Binance (biggest global exchange). They are the top two exchanges in terms of Bitcoin trading volume. They are in pole position to winning this market — they have a huge existing userbase and strong financial resources. Will Coinbase or Binance become the bank of the future? Can their early success propel them to winning the broader consumer finance market? Is their growth too far ahead for anyone else to catch up? Let’s dive in. https://preview.redd.it/lau4hevpm7f51.png?width=800&format=png&auto=webp&s=2c5de1ba497199f36aa194e5809bd86e5ab533d8
The most formidable exchange on the global stage is Binance (Crunchbase). All signs suggest they have significantly more users and a stronger balance sheet than Coinbase. No other exchange is executing as aggressively and relentlessly as Binance is. The cadence at which they are shipping and launching new products is nothing short of impressive. As Tushar Jain from Multicoin argues, Binance is Blitzscaling. Here are some of the products that they’ve launched in the last 18 months. Only a few are announced but still pre-launch.
Binance is well-positioned to become the crypto-powered, all-in-one, bundled solution for financial services. They already have so many of the pieces. But the key question is:
Can they create a cohesive & united product experience?
Binance is strong, but they do have a few major weaknesses that could slow them down.
Traders & Speculators Binance is currently very geared for speculators, traders, and financial professionals. Their bread-and-butter is trading (spot, margin, options, futures). Their UI is littered with depth charts, order books, candlesticks, and other financial concepts that are beyond the reach of most normal consumers. Their product today is not at all tailored for the broader consumer market. Given Binance’s popularity and strength among the pro audience, it’s unlikely that they will dumb down or simplify their product any time soon. That would jeopardize their core business. Binance will likely need an entirely new product/brand to go beyond the pro user crowd. That will take time (or an acquisition). So the question remains, is Binance even interested in the broader consumer market? Or will they continue to focus on their core product, the one-stop-shop for pro crypto traders?
Controversies & Hot Water Binance has had a number of controversies. No one seems to know where they are based — so what regulatory agencies can hold them accountable? Last year, some sensitive, private user data got leaked. When they announced their debit card program, they had to remove mentions of Visa quickly after. And though the “police raid” story proved to be untrue, there are still a lot of questions about what happened with their Shanghai office shut down (where there is smoke, there is fire). If any company has had a “move fast and break things” attitude, it is Binance. That attitude has served them well so far but as they try to do business in more regulated countries like America, this will make their road much more difficult — especially in the consumer market where trust takes a long time to earn, but can be destroyed in an instant. This is perhaps why the Binance US product is an empty shell when compared to their main global product.
Disjointed Product Experience Because Binance has so many different teams launching so many different services, their core product is increasingly feeling disjointed and disconnected. Many of the new features are sloppily integrated with each other. There’s no cohesive product experience. This is one of the downsides of executing and shipping at their relentless pace. For example, users don’t have a single wallet that shows their balances. Depending on if the user wants to do spot trading, margin, futures, or savings… the user needs to constantly be transferring their assets from one wallet to another. It’s not a unified, frictionless, simple user experience. This is one major downside of the “move fast and break things” approach.
BNB token Binance raised $15M in a 2017 ICO by selling their $BNB token. The current market cap of $BNB is worth more than $2.6B. Financially this token has served them well. However, given how BNB works (for example, their token burn), there are a lot of open questions as to how BNB will be treated with US security laws. Their Binance US product so far is treading very lightly with its use of BNB. Their token could become a liability for Binance as it enters more regulated markets. Whether the crypto community likes it or not, until regulators get caught up and understand the power of decentralized technology, tokens will still be a regulatory burden — especially for anything that touches consumers.
Binance Chain & Smart Contract Platform Binance is launching its own smart contract platform soon. Based on compatibility choices, they have their sights aimed at the Ethereum developer community. It’s unclear how easy it’ll be to convince developers to move to Binance chain. Most of the current developer energy and momentum around smart contracts is with Ethereum. Because Binance now has their own horse in the race, it’s unlikely they will ever decide to leverage Ethereum’s DeFi protocols. This could likely be a major strategic mistake — and hubris that goes a step too far. Binance will be pushing and promoting protocols on their own platform. The major risk of being all-in on their own platform is that they miss having a seat on the Ethereum rocket ship — specifically the growth of DeFi use-cases and the enormous value that can be unlocked. Integrating with Ethereum’s protocols would be either admitting defeat of their own platform or competing directly against themselves.
The crypto-native company that I believe is more likely to become the bank of the future is Coinbase (crunchbase). Their dominance in America could serve as a springboard to winning the West (Binance has a stronger foothold in Asia). Coinbase has more than 30M users. Their exchange business is a money-printing machine. They have a solid reputation as it relates to compliance and working with regulators. Their CEO is a longtime member of the crypto community. They are rumored to be going public soon.
Let’s look at what makes them strong and a likely contender for winning the broader consumer finance market.
Different Audience, Different Experience Coinbase has been smart to create a unique product experience for each audience — the pro speculator crowd and the common retail user. Their simple consumer version is at Coinbase.com. That’s the default. Their product for the more sophisticated traders and speculators is at Coinbase Pro (formerly GDAX). Unlike Binance, Coinbase can slowly build out the bank of the future for the broad consumer market while still having a home for their hardcore crypto traders. They aren’t afraid to have different experiences for different audiences.
Brand & Design Coinbase has a strong product design team. Their brand is capable of going beyond the male-dominated crypto audience. Their product is clean and simple — much more consumer-friendly than Binance. It’s clear they spend a lot of time thinking about their user experience. Interacting directly with crypto can sometimes be rough and raw (especially for n00bs). When I was at Mainframe we hosted a panel about Crypto UX challenges at the DevCon4 Dapp Awards. Connie Yang (Head of Design at Coinbase) was on the panel. She was impressive. Some of their design philosophies will bode well as they push to reach the broader consumer finance market.
Early Signs of Bundling Though Coinbase has nowhere near as many products & services as Binance, they are slowly starting to add more financial services that may appeal to the broader market. They are now letting depositors earn interest on USDC (also DAI & Tezos). In the UK they are piloting a debit card. Users can now invest in crypto with dollar-cost-averaging. It’s not much, but it’s a start. You can start to see hints of a more bundled solution around financial services.
Let’s now look at some things that could hold them back.
Slow Cadence In the fast-paced world of crypto, and especially when compared to Binance, Coinbase does not ship very many new products very often. This is perhaps their greatest weakness. Smaller, more nimble startups may run circles around them. They were smart to launch Coinbase Ventures where tey invest in early-stage startups. They can now keep an ear to the ground on innovation. Perhaps their cadence is normal for a company of their size — but the Binance pace creates quite the contrast.
Institutional Focus As a company, we are a Coinbase client. We love their institutional offering. It’s clear they’ve been investing a lot in this area. A recent Coinbase blog post made it clear that this has been a focus: “Over the past 12 months, Coinbase has been laser-focused on building out the types of features and services that our institutional customers need.” Their Tagomi acquisition only re-enforced this focus. Perhaps this is why their consumer product has felt so neglected. They’ve been heavily investing in their institutional services since May 2018. For a company that’s getting very close to an IPO, it makes sense that they’d focus on areas that present strong revenue opportunities — as they do with institutional clients. Even for big companies like Coinbase, it’s hard to have a split focus. If they are “laser-focused” on the institutional audience, it’s unlikely they’ll be launching any major consumer products anytime soon.
Coinbase Wrap Up
At Genesis Block, we‘re proud to be working with Coinbase. They are a fantastic company. However, I don’t believe that they’ll succeed in building their own product for the broader consumer finance market. While they have incredible design, there are no signs that they are focused on or capable of internally building this type of product. Similar to Binance, I think it’s far more likely that Coinbase acquires a promising young startup with strong growth.
Other US-based exchanges worth mentioning are Kraken, Gemini, and Bittrex. So far we’ve seen very few signs that any of them will aggressively attack broader consumer finance. Most are going in the way of Binance — listing more assets and adding more pro tools like margin and futures trading. And many, like Coinbase, are trying to attract more institutional customers. For example, Gemini with their custody product.
Coinbase and Binance have huge war chests and massive reach. For that alone, they should always be considered threats to Genesis Block. However, their products are very, very different than the product we’re building. And their approach is very different as well. They are trying to educate and onboard people into crypto. At Genesis Block, we believe the masses shouldn’t need to know or care about it. We did an entire series about this, Spreading Crypto. Most everyone needs banking — whether it be to borrow, spend, invest, earn interest, etc. Not everyone needs a crypto exchange. For non-crypto consumers (the mass market), the differences between a bank and a crypto exchange are immense. Companies like Binance and Coinbase make a lot of money on their crypto exchange business. It would be really difficult, gutsy, and risky for any of them to completely change their narrative, messaging, and product to focus on the broader consumer market. I don’t believe they would ever risk biting the hand that feeds them. In summary, as it relates to a digital bank aimed at the mass market, I believe both Coinbase and Binance are much more likely to acquire a startup in this space than they are to build it themselves. And I think they would want to keep the brand/product distinct and separate from their core crypto exchange business. So back to the original question, is Coinbase and Binance a threat to Genesis Block? Not really. Not today. But they could be, and for that, we want to stay close to them. ------ Other Ways to Consume Today's Episode:
Murmurs of the Sea | Monthly Portfolio Update - March 2020
Only the sea, murmurous behind the dingy checkerboard of houses, told of the unrest, the precariousness, of all things in this world. -Albert Camus, The Plague This is my fortieth portfolio update. I complete this update monthly to check my progress against my goal. Portfolio goal My objective is to reach a portfolio of $2 180 000 by 1 July 2021. This would produce a real annual income of about $87 000 (in 2020 dollars). This portfolio objective is based on an expected average real return of 3.99 per cent, or a nominal return of 6.49 per cent. Portfolio summary Vanguard Lifestrategy High Growth Fund – $662 776 Vanguard Lifestrategy Growth Fund – $39 044 Vanguard Lifestrategy Balanced Fund – $74 099 Vanguard Diversified Bonds Fund – $109 500 Vanguard Australian Shares ETF (VAS) – $150 095 Vanguard International Shares ETF (VGS) – $29 852 Betashares Australia 200 ETF (A200) – $197 149 Telstra shares (TLS) – $1 630 Insurance Australia Group shares (IAG) – $7 855 NIB Holdings shares (NHF) – $6 156 Gold ETF (GOLD.ASX) – $119 254 Secured physical gold – $19 211 Ratesetter (P2P lending) – $13 106 Bitcoin – $115 330 Raiz* app (Aggressive portfolio) – $15 094 Spaceship Voyager* app (Index portfolio) – $2 303 BrickX (P2P rental real estate) – $4 492 Total portfolio value: $1 566 946 (-$236 479 or -13.1%) Asset allocation Australian shares – 40.6% (4.4% under) Global shares – 22.3% Emerging markets shares – 2.3% International small companies – 3.0% Total international shares – 27.6% (2.4% under) Total shares – 68.3% (6.7% under) Total property securities – 0.2% (0.2% over) Australian bonds – 4.8% International bonds – 10.4% Total bonds – 15.2% (0.2% over) Gold – 8.8% Bitcoin – 7.4% Gold and alternatives – 16.2% (6.2% over) Presented visually, below is a high-level view of the current asset allocation of the portfolio. Comments This month saw an extremely rapid collapse in market prices for a broad range of assets across the world, driven by the acceleration of the Coronavirus pandemic. Broad and simultaneous market falls have resulted in the single largest monthly fall in portfolio value to date of around $236 000. This represents a fall of 13 per cent across the month, and an overall reduction of more the 16 per cent since the portfolio peak of January. [Chart] The monthly fall is over three times more severe than any other fall experienced to date on the journey. Sharpest losses have occurred in Australian equities, however, international shares and bonds have also fallen. A substantial fall in the Australia dollar has provided some buffer to international equity losses - limiting these to around 8 per cent. Bitcoin has also fallen by 23 per cent. In short, in the period of acute market adjustment - as often occurs - the benefits of diversification have been temporarily muted. [Chart] The last monthly update reported results of some initial simplified modelling on the impact of a hypothetical large fall in equity markets on the portfolio. Currently, the actual asset price falls look to register in between the normal 'bear market', and the more extreme 'Global Financial Crisis Mark II' scenarios modelled. Absent, at least for the immediate phase, is a significant diversification offset - outside of a small (4 per cent) increase in the value of gold. The continued sharp equity market losses have left the portfolio below its target Australian equity weighting, so contributions this month have been made to Vanguard's Australian shares ETF (VAS). This coming month will see quarterly distributions paid for the A200, VGS and VAS exchange traded funds - totalling around $2700 - meaning a further small opportunity to reinvest following sizeable market falls. Reviewing the evidence on the history of stock market falls Vladimir Lenin once remarked that there are decades where nothing happen, and then there are weeks in which decades happen. This month has been four such weeks in a row, from initial market responses to the coronavirus pandemic, to unprecedented fiscal and monetary policy responses aimed at lessening the impact. Given this, it would be foolish to rule out the potential for other extreme steps that governments have undertaken on multiple occasions before. These could include underwriting of banks and other debt liabilities, effective nationalisation or rescues of critical industries or providers, or even temporary closure of some financial or equity markets. There is a strong appeal for comforting narratives in this highly fluid investment environment, including concepts such as buying while distress selling appears to be occurring, or delaying investing until issues become 'more clear'. Nobody can guarantee that investments made now will not be made into cruel short-lived bear market rallies, and no formulas exist that will safely and certainly minimise either further losses, or opportunities forgone. Much financial independence focused advice in the early stages of recent market falls focused on investment commonplaces, with a strong flavour of enthusiasm at the potential for 'buying the dip'. Yet such commonly repeated truths turn out to be imperfect and conditional in practice. One of the most influential studies of a large sample of historical market falls turns out to provide mixed evidence that buying following a fall reliably pays off. This study (pdf) examines 101 stock market declines across four centuries of data, and finds that:
Large falls can lead to strong rebounds - After large falls of up to 50 per cent, the probability of a large rebound is higher.
Future returns after large market falls are generally positive - Returns following such a severe crash are systematically higher than otherwise.
Smaller market falls, however, may accurately signal poor future returns - Smaller declines (10-20 per cent) are more likely to be followed by further declines, although the strength of the relationship is weaker and less consistent.
Even these findings should be viewed as simply indicative. Each crisis and economic phase has its unique character, usually only discernible in retrospect. History, in these cases, should inform around the potential outlines of events that can be considered possible. As the saying goes, risk is what remains after you believe you have thought of everything. Position fixing - alternative perspectives of progress In challenging times it can help to keep a steady view of progress from a range of perspectives. Extreme market volatility and large falls can be disquieting for both recent investors and those closer to the end of the journey. One perspective on what has occurred is that the portfolio has effectively been pushed backwards in time. That is, the portfolio now sits at levels it last occupied in April 2019. Even this perspective has some benefit, highlighting that by this metric all that has been lost is the strong forward progress made in a relatively short time. Yet each perspective can hide and distort key underlying truths. As an example, while the overall portfolio is currently valued at around the same dollar value as a year ago, it is not the same portfolio. Through new purchases and reinvestments in this period, many more actual securities (mostly units in ETFs) have been purchased. The chart below sets out the growth in total units held from January 2019 to this month, across the three major exchange trade funds holdings in the portfolio. [Chart] From this it can be seen that the number of securities held - effectively, individual claims on the future earnings of the firms in these indexes - has more than doubled over the past fifteen months. Through this perspective, the accumulation of valuable assets shows a far more constant path. Though this can help illuminate progress, as a measure it also has limitations. The realities of falls in market values cannot be elided by such devices, and some proportion of those market falls represent initial reassessments of the likely course of future earnings, and therefore the fundamental value of each of those ETF units. With significant uncertainty over the course of global lock-downs, trade and growth, the basis of these reassessments may provide accurate, or not. For anyone to discount all of these reassessments as wholly the temporary result of irrational panic is to show a remarkable confidence in one's own analytical capacities. Similarly, it would be equally wrong to extrapolate from market falls to a permanent constraining of the impulse of humanity to innovate, adjust to changed conditions, seek out opportunities and serve others for profit. Lines of position - Trends in expenditure A further longer-term perspective regularly reviewed is monthly expenses compared to average distributions. Monthly expenditure continues to be below average, and is likely to fall further next month as a natural result of a virus-induced reduction of shopping trips, events and outings. [Chart] As occurred last month, as a function some previous high distributions gradually falling outside of the data 'window' for the rolling three-year comparison of distributions and expenditure, a downward slope in distributions continues. Progress Progress against the objective, and the additional measures I have reached is set out below. Measure Portfolio All Assets Portfolio objective – $2 180 000 (or $87 000 pa) 71.9% 97.7% Credit card purchases – $71 000 pa 87.7% 119.2% Total expenses – $89 000 pa 70.2% 95.5% Summary This month has been one of the most surprising and volatile of the entire journey, with significant daily movements in portfolio value and historic market developments. There has been more to watch and observe than at any time in living memory. The dominant sensation has been that of travelling backwards through time, and revisiting a stage of the journey already passed. The progress of the last few months has actually been so rapid, that this backwards travel has felt less like a set back, but rather more like a temporary revisitation of days past. It is unclear how temporary a revisitation current conditions will enforce, or exactly how this will affect the rest of the journey. In early January I estimated that if equity market fell by 33 per cent through early 2020 with no offsetting gains in other portfolio elements, this could push out the achievement of the target to January 2023. Even so, experiencing these markets and with more volatility likely, I don't feel there is much value in seeking to rapidly recalculate the path from here, or immediately alter the targeted timeframe. Moving past the portfolio target from here in around a year looks almost impossibly challenging, but time exists to allow this fact to settle. Too many other, more important, human and historical events are still playing out. In such times, taking diverse perspectives on the same facts is important. This Next Life recently produced this interesting meditation on the future of FIRE during this phase of economic hardship. In addition, the Animal Spirits podcast also provided a thoughtful perspective on current market falls compared to 2008, as does this article by Early Retirement Now. Such analysis, and each passing day, highlights that the murmurs of the sea are louder than ever before, reminding us of the precariousness of all things. The post, links and full charts can be seen here.
﷽ The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people. The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets. Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.
Stock Market Crash
The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially. All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity. Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses. Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely. So, why inflate the economy so much? Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value. Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat. Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis. Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.
Economic Analysis of Bitcoin
The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero. Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology. Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value. Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block. Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer. Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed. Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin. Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public. A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved. Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely. Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.
Trading or Investing?
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.
Technical Indicator Analysis of Bitcoin
Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.
Trend Definition Analysis of Bitcoin
Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.
Time Symmetry Analysis of Bitcoin
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows. Therefore, we have two primary dates from our histogram. 1/1/21, 1/15/21, and 1/29/21 2:00am, 8:00am, 12:00pm, or 10:00pm In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations. The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year! Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market. Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020. The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX. Therefore, our timeline looks like:
2/14/20 – yearly high ($10372 USD)
3/12/20 – yearly low thus far ($3858 USD)
5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
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