31:T5ec,function hover(svg, path) { svg .style("position", "relative"); if ("ontouchstart" in document) svg .style("-webkit-tap-highlight-color", "transparent") .on("touchmove", moved) .on("touchstart", entered) .on("touchend", left) else svg .on("mousemove", moved) .on("mouseenter", entered) .on("mouseleave", left); const dot = svg.append("g") .attr("display", "none"); dot.append("circle") .attr("r", 2.5); dot.append("text") .style("font", "10px sans-serif") .attr("text-anchor", "middle") .attr("y", -8); function moved() { d3.event.preventDefault(); const ym = y.invert(d3.event.layerY); const xm = x.invert(d3.event.layerX); const i1 = d3.bisectLeft(comparisionChartData.dates, xm, 1); const i0 = i1 - 1; const i = xm - comparisionChartData.dates[i0] > comparisionChartData.dates[i1] - xm ? i1 : i0; const s = comparisionChartData.series.reduce((a, b) => Math.abs(a.values[i] - ym) < Math.abs(b.values[i] - ym) ? a : b); path.attr("stroke", d => d === s ? null : "#ddd").filter(d => d === s).raise(); dot.attr("transform", `translate(${x(comparisionChartData.dates[i])},${y(s.values[i])})`); dot.select("text").text(s.name); } function entered() { path.style("mix-blend-mode", null).attr("stroke", "#ddd"); dot.attr("display", null); } function left() { path.style("mix-blend-mode", "multiply").attr("stroke", null); dot.attr("display", "none"); } }32:[] 2f:{"title":"Cryptonetwork valuations from first principles","cells":[{"id":0,"value":"md`# Cryptonetwork valuations from first principles`","pinned":false,"hidden":false,"mode":"ojs"},{"id":519,"value":"slide`Why do it?`","pinned":false,"hidden":false,"mode":"ojs"},{"id":523,"value":"slide`\n**Understand the economic impact**\n\nBetter metrics\n\nBetter decisions\n\nBetter outcomes\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":10,"value":"slide`Token = Currency + Capital`","pinned":false,"hidden":false,"mode":"ojs"},{"id":12,"value":"slide`\n**Currency**\n\n• Power to consume\n\n• Means of exchange\n\n• Unit of account\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":36,"value":"slide`\n**Capital**\n\n• Power to govern\n\n• Store of value\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":40,"value":"md`##### Credit [Joel Monegro](https://www.placeholder.vc/blog/2019/2/19/cryptonetwork-governance-as-capital)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":555,"value":"slide`We use the US economy for consistency, data avaliability and market size\n\nThe below patterns are recurring among modern economies which a broader study should confirm`","pinned":false,"hidden":false,"mode":"ojs"},{"id":241,"value":"md`Modern economies seperate capital from currency`","pinned":false,"hidden":false,"mode":"ojs"},{"id":256,"value":"slide`The average person being paid in fiat currency does not participate in the broad economic value being created`","pinned":false,"hidden":false,"mode":"ojs"},{"id":543,"value":"md`This leads to concentration of wealth and governance powers`","pinned":false,"hidden":false,"mode":"ojs"},{"id":533,"value":"slide.img`https://upload.wikimedia.org/wikipedia/commons/e/ea/US_Wealth_Inequality_-_v2.png`","pinned":false,"hidden":false,"mode":"ojs"},{"id":552,"value":"md`source: [congressional budget office](https://www.cbo.gov/publication/51846)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":248,"value":"md`US currency and capital markets as a percentage of total asset value`","pinned":false,"hidden":false,"mode":"ojs"},{"id":76,"value":"{\n \n const container = html`

`\n \n var chart = new G2.Chart({\n container: container,\n forceFit: true,\n height: 600\n });\n \n\tchart.source(chartData, {\n\t percent: {\n\t formatter: function formatter(val) {\n\t val = val * 100 + '%';\n\t return val;\n\t }\n\t }\n\t});\n \n\tchart.coord('theta', {\n\t radius: 0.75\n\t});\n \n\tchart.tooltip({\n\t showTitle: false,\n\t itemTpl: '

{name}: {value}

'\n\t});\n \n\tchart.intervalStack().position('percent').color('item').label(\n 'percent', \n {\n\t formatter: function formatter(val, item) {\n\t return item.point.item + ': ' + val;\n\t }\n\t }\n ).tooltip('item*percent', function(item, percent) {\n\t percent = percent * 100 + '%';\n\t return {\n\t name: item,\n\t value: percent\n\t };\n\t}).style({\n\t lineWidth: 1,\n\t stroke: '#fff'\n\t});\n\t\n chart.render();\n \n return container;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":260,"value":"slide`***2004-2018 Total Returns***\n\n-US Equities: ${usStockMarketTotalReturn}%\n\n-US Debt: ${usDebtMarketTotalReturn}%\n\n-USD Purchase Power: **${usCurrencyTotalReturn}%**`","pinned":false,"hidden":false,"mode":"ojs"},{"id":153,"value":"multi_line_chart = {\n const svg = d3.select(DOM.svg(width, height));\n\n svg.append(\"g\")\n .call(xAxis);\n\n svg.append(\"g\")\n .call(yAxis);\n\n const path = svg.append(\"g\")\n .attr(\"fill\", \"none\")\n .attr(\"stroke\", \"steelblue\")\n .attr(\"stroke-width\", 1.5)\n .attr(\"stroke-linejoin\", \"round\")\n .attr(\"stroke-linecap\", \"round\")\n .selectAll(\"path\")\n .data(comparisionChartData.series)\n .enter().append(\"path\")\n .style(\"mix-blend-mode\", \"multiply\")\n .attr(\"d\", d => line(d.values));\n \n svg.append(\"text\")\n .attr(\"id\",\"title\")\n .attr(\"x\", (width / 2)) \n .attr(\"y\", (20))\n .attr(\"text-anchor\", \"middle\") \n .style(\"font-size\", \"20px\") \n .text(\"Change in value over time\");\n\n svg.call(hover, path);\n\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":280,"value":"slide`What if the average person was paid in something that was capital as well?`","pinned":false,"hidden":false,"mode":"ojs"},{"id":431,"value":"slide`An economy token is simulated by having the same weights of currency and capital assets as the general economy`","pinned":false,"hidden":false,"mode":"ojs"},{"id":390,"value":"md`# Hypothetical Economy Token`","pinned":false,"hidden":false,"mode":"ojs"},{"id":435,"value":"md`### Equities: ${usStockMarketPercent * 100}%, Debt: ${usDebtMarketPercent * 100}%, Currency: ${usCurrencyPercent * 100}%`","pinned":false,"hidden":false,"mode":"ojs"},{"id":448,"value":"md`#### VS`","pinned":false,"hidden":false,"mode":"ojs"},{"id":444,"value":"md`# US Dollar`","pinned":false,"hidden":false,"mode":"ojs"},{"id":446,"value":"md`### Currency: 100%`","pinned":false,"hidden":false,"mode":"ojs"},{"id":430,"value":"slide`An apartment in 2004 rents for ${toCurrency(baseRentalPrice)} per month in both USD and Economy Token` ","pinned":false,"hidden":false,"mode":"ojs"},{"id":456,"value":"slide`In 2018 the apartment rents for \n\n${toCurrency(usd2018RentalPrice)} USD \n\n${toCurrency(economyToken2018RentalPrice)} Economy Token`","pinned":false,"hidden":false,"mode":"ojs"},{"id":282,"value":"md`\n| Apartment Rental Year | USD | Economy Token |\n| ------------- |:-------------:| -----:|\n| 2004 | ${toCurrency(baseRentalPrice)} | ${toCurrency(baseRentalPrice)} |\n| 2018 | ${toCurrency(usd2018RentalPrice)} | ${toCurrency(economyToken2018RentalPrice)} |\n| DIFFERENCE | ${toCurrency(baseRentalPrice - usd2018RentalPrice)} | ${toCurrency(baseRentalPrice - economyToken2018RentalPrice)} |\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":529,"value":"slide`With the economy token wealth and governance power becomes more evenly distributed overtime`","pinned":false,"hidden":false,"mode":"ojs"},{"id":466,"value":"slide`Why is total return of Economy Token greater than the GDP? \n\nGDP: ${usGdpTotalReturn.toFixed(0)}%\n\nEconomy Token ${(blendedTotalReturn * 100).toFixed(0)}%\n\nGross domestic product (GDP), the featured measure of U.S. output, is the market value of the goods and services produced by labor and property located in the United States`","pinned":false,"hidden":false,"mode":"ojs"},{"id":485,"value":"slide`Markets are discounting mechanisms\n\nwhat are they discounting?`","pinned":false,"hidden":false,"mode":"ojs"},{"id":492,"value":"slide`All future cash flows discounted to the present`","pinned":false,"hidden":false,"mode":"ojs"},{"id":494,"value":"slide`Two main cash flow types identified\n\nToken bonding/unbonding (Discounted Cash flow Model)\n\nValue flow through network (Equation of exchange)\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":517,"value":"slide`Token bonding is generally in the form of a transaction with the network itself\n\nValue flow through generally uses the network to facilitate a transaction between two or more parties`","pinned":false,"hidden":false,"mode":"ojs"},{"id":514,"value":"slide`*Value Flow Through Examples*\n\n-Buyer/seller exchange\n\n-Network Incentivisation\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":505,"value":"slide`*Token Bonding Examples*\n\n-ENS Usernames\n\n-Teller Network\n\n-MakerDAO\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":325,"value":"baseRentalPrice = 1000","pinned":false,"hidden":false,"mode":"ojs"},{"id":332,"value":"usd2018RentalPrice = baseRentalPrice * (1+usHousingTotalReturn)","pinned":false,"hidden":false,"mode":"ojs"},{"id":339,"value":"economyToken2018RentalPrice = baseRentalPrice * (1 + usHousingTotalReturn - blendedTotalReturn)","pinned":false,"hidden":false,"mode":"ojs"},{"id":328,"value":"toCurrency = num => num.toLocaleString('en-US', { style: 'currency', currency: 'USD'})","pinned":false,"hidden":false,"mode":"ojs"},{"id":51,"value":"md `#### [source: stock and bond market sizes](https://finance.zacks.com/bond-market-size-vs-stock-market-size-5863.html)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":65,"value":"md`#### [source: US Monetary Base](https://fred.stlouisfed.org/series/BASE)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":62,"value":"md`#### US market sizes in Trillions`","pinned":false,"hidden":false,"mode":"ojs"},{"id":47,"value":"usDebtMarket = 40","pinned":false,"hidden":false,"mode":"ojs"},{"id":216,"value":"usTreasury = 14","pinned":false,"hidden":false,"mode":"ojs"},{"id":218,"value":"treasuryPctOfDebt = usTreasury / usDebtMarket","pinned":false,"hidden":false,"mode":"ojs"},{"id":106,"value":"md`#### [US Bond market returns 2004 - 2018](https://finance.yahoo.com/quote/AGG/performance?ltr=1)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":104,"value":"usCorpDebtMarketReturns = [3.99, 2.16, 4.13, 6.57, 5.88, 5.14, 6.30, 7.58, 4.04, -2.15, 6.04, 0.48, 2.56, 3.53, -0.05]","pinned":false,"hidden":false,"mode":"ojs"},{"id":138,"value":"usCorpDebtMarketCumulative = getCulmulativeReturns(usCorpDebtMarketReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":124,"value":"usDebtMarketTotalReturn = simpleStatistics.sum(usCorpDebtMarketReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":99,"value":"usDebtMarketPercent = Number((usDebtMarket / total).toFixed(2))","pinned":false,"hidden":false,"mode":"ojs"},{"id":220,"value":"md`##### [US treasury market returns 2004 - 2018](https://finance.yahoo.com/quote/tlt/performance?ltr=1)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":223,"value":"usTreasuryMarketReturns = [8.88, 8.44, 0.83, 10.15, 33.76, -21.53, 9.25, 33.60, 3.25, 13.91, 27.35, 1.65, 1.36, 8.92, -2.07]","pinned":false,"hidden":false,"mode":"ojs"},{"id":225,"value":"usDebtMarketReturns = usCorpDebtMarketReturns.map((year, idx) => {\n return (year * (1 - treasuryPctOfDebt)) + (usTreasuryMarketReturns[idx] * treasuryPctOfDebt)\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":232,"value":"usDebtMarketCumulative = getCulmulativeReturns(usDebtMarketReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":49,"value":"usStockMarket = 30","pinned":false,"hidden":false,"mode":"ojs"},{"id":110,"value":"md`#### [US Stock market returns 2004 - 2018](https://finance.yahoo.com/quote/SPY/performance?ltr=1)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":108,"value":"usStockMarketReturns = [10.75, 4.79, 15.69, 5.39, -36.97, 26.42, 14.93, 2.06, 15.84, 32.21, 13.53, 1.34, 11.80, 21.69, -4.45]","pinned":false,"hidden":false,"mode":"ojs"},{"id":141,"value":"usStockMarketCulmulative = getCulmulativeReturns(usStockMarketReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":122,"value":"usStockMarketTotalReturn = simpleStatistics.sum(usStockMarketReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":96,"value":"usStockMarketPercent = Number((usStockMarket / total).toFixed(3))","pinned":false,"hidden":false,"mode":"ojs"},{"id":67,"value":"usCurrency = 3.5","pinned":false,"hidden":false,"mode":"ojs"},{"id":116,"value":"md`#### [US Currency returns 2004 - 2018](https://data.bls.gov/pdq/SurveyOutputServlet)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":112,"value":"usCurrencyReturns = [3.0, 3.8, 2.6, 3.1, 3.4, -0.1, 1.2, 3.5, 1.8, 1.4, 1.5, 0.3, 1.5, 2.0, 2.4].map(year => year * -1)","pinned":false,"hidden":false,"mode":"ojs"},{"id":145,"value":"usCurrencyCumulative = getCulmulativeReturns(usCurrencyReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":120,"value":"usCurrencyTotalReturn = simpleStatistics.sum(usCurrencyReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":89,"value":"usCurrencyPercent = Number((usCurrency / total).toFixed(3))","pinned":false,"hidden":false,"mode":"ojs"},{"id":79,"value":"total = usDebtMarket + usStockMarket + usCurrency","pinned":false,"hidden":false,"mode":"ojs"},{"id":406,"value":"md`#### [US GDP returns 2004 - 2018](https://fred.stlouisfed.org/series/GDP#0)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":404,"value":"usGdpReturns = [\n 6.59337,\n6.73755,\n5.96758,\n4.61287,\n1.8059,\n-1.79376,\n3.75889,\n3.67214,\n4.21053,\n3.62933,\n4.39025,\n3.98105,\n2.67789,\n4.15993,\n5.21027,\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":408,"value":"usGdpCulmulative = getCulmulativeReturns(usGdpReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":411,"value":"usGdpTotalReturn = simpleStatistics.sum(usGdpReturns)","pinned":false,"hidden":false,"mode":"ojs"},{"id":126,"value":"blendedTotalReturn = ((usCurrencyTotalReturn * usCurrencyPercent) + (usStockMarketTotalReturn * usStockMarketPercent) + (usDebtMarketTotalReturn * usDebtMarketPercent)) / 100","pinned":true,"hidden":false,"mode":"ojs"},{"id":201,"value":"blendedPercentageChange = usCurrencyReturns.map((currencyReturn, idx) => {\n let debtReturn = usDebtMarketReturns[idx]\n let stockReturn = usStockMarketReturns[idx]\n return (currencyReturn * usCurrencyPercent) + (stockReturn * usStockMarketPercent) + (debtReturn * usDebtMarketPercent)\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":203,"value":"blendedCulmulativeReturns = getCulmulativeReturns(blendedPercentageChange)","pinned":false,"hidden":false,"mode":"ojs"},{"id":210,"value":"stockDebtBlendChange = usCurrencyReturns.map((currencyReturn, idx) => {\n let debtReturn = usDebtMarketReturns[idx]\n let stockReturn = usStockMarketReturns[idx]\n return (stockReturn * 0.42) + (debtReturn * 0.58)\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":212,"value":"stockDebtBlendCumulative = getCulmulativeReturns(stockDebtBlendChange)","pinned":false,"hidden":false,"mode":"ojs"},{"id":128,"value":"usRealEstateIndex = [139.632,\n158.674,\n180.112,\n183.234,\n173.348,\n152.553,\n146.676,\n140.636,\n135.161,\n143.878,\n159.298,\n166.495,\n175.199,\n184.549,\n196.09,\n205.352,\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":130,"value":"usHousingPercentageChange = usRealEstateIndex.map((year, idx) => {\n if (!idx) return year\n return (year - usRealEstateIndex[idx-1]) / usRealEstateIndex[idx-1]\n}).slice(1)","pinned":false,"hidden":false,"mode":"ojs"},{"id":147,"value":"usHousingCulmulative = getCulmulativeReturns(usHousingPercentageChange).map(year => year * 100)","pinned":false,"hidden":false,"mode":"ojs"},{"id":133,"value":"usHousingTotalReturn = simpleStatistics.sum(usHousingPercentageChange)","pinned":false,"hidden":false,"mode":"ojs"},{"id":77,"value":"chartData = [\n {\n item: 'US Currency',\n count: usCurrency,\n percent: usCurrencyPercent\n}, {\n item: 'US Stock Market',\n count: usStockMarket,\n percent: usStockMarketPercent\n},\n{\n item: 'US Debt Market',\n count: usDebtMarket,\n percent: usDebtMarketPercent\n}\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":6,"value":"slide_style","pinned":false,"hidden":false,"mode":"ojs"},{"id":155,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":149,"value":"comparisionChartData = ({\n series: [\n { name: \"Equity Market\", values: usStockMarketCulmulative },\n { name: \"Debt Market\", values: usDebtMarketCumulative },\n { name: \"US Dollar Domestic Purchasing Power\", values: usCurrencyCumulative },\n { name: \"US Housing Prices\", values: usHousingCulmulative },\n { name: \"Dollar/Equity/Debt Blended\", values: blendedCulmulativeReturns },\n { name: \"US Gross Domestic Product\", values: usGdpCulmulative }\n ],\n dates: [\n \"2004-01\",\n \"2005-01\",\n \"2006-01\",\n \"2007-01\",\n \"2008-01\",\n \"2009-01\",\n \"2010-01\",\n \"2011-01\",\n \"2012-01\",\n \"2013-01\",\n \"2014-01\",\n \"2015-01\",\n \"2016-01\",\n \"2017-01\",\n \"2018-01\"\n ].map(d3.timeParse(\"%Y-%m\"))\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":135,"value":"getCulmulativeReturns = arr => {\n let updatedReturns = []\n \n arr.forEach((year, idx) => {\n if (!idx) updatedReturns.push(year)\n else updatedReturns.push(year + updatedReturns[idx-1])\n })\n return updatedReturns\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":161,"value":"x = d3.scaleTime()\n .domain(d3.extent(comparisionChartData.dates))\n .range([margin.left, width - margin.right])","pinned":false,"hidden":false,"mode":"ojs"},{"id":159,"value":"y = d3.scaleLinear()\n .domain([d3.min(comparisionChartData.series, d => d3.min(d.values)), d3.max(comparisionChartData.series, d => d3.max(d.values))]).nice()\n .range([height - margin.bottom, margin.top])","pinned":false,"hidden":false,"mode":"ojs"},{"id":165,"value":"height = 600","pinned":false,"hidden":false,"mode":"ojs"},{"id":174,"value":"xAxis = g => g\n .attr(\"transform\", `translate(0,${height - margin.bottom})`)\n .call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))","pinned":false,"hidden":false,"mode":"ojs"},{"id":176,"value":"yAxis = g => g\n .attr(\"transform\", `translate(${margin.left},0)`)\n .call(d3.axisLeft(y))\n .call(g => g.select(\".domain\").remove())\n .call(g => g.select(\".tick:last-of-type text\").clone()\n .attr(\"x\", 3)\n .attr(\"text-anchor\", \"start\")\n .attr(\"font-weight\", \"bold\")\n .text(\"Percent Change\"))","pinned":false,"hidden":false,"mode":"ojs"},{"id":179,"value":"line = d3.line()\n .defined(d => !isNaN(d))\n .x((d, i) => x(comparisionChartData.dates[i]))\n .y(d => y(d))","pinned":false,"hidden":false,"mode":"ojs"},{"id":167,"value":"margin = ({top: 30, right:0, bottom: 30, left: 50})","pinned":false,"hidden":false,"mode":"ojs"},{"id":352,"value":"style = ({\n positive: `style=\"font-size:${fontSize};color:green\"`,\n negitive: `style=\"font-size:${fontSize};color:red\"`,\n cell: `style=\"font-size:${fontSize}\"`,\n header: `style=\"font-size:28px\"`\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":368,"value":"fontSize = '26px'","pinned":false,"hidden":false,"mode":"ojs"},{"id":157,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":74,"value":"G2 = require(\"@antv/g2\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":4,"value":"import {slide, slide_style} from \"@mbostock/slide\"\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":118,"value":"simpleStatistics = require('simple-statistics')","pinned":false,"hidden":false,"mode":"ojs"},{"id":385,"value":"html``","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W32","stdlib":"1","titling":"auto"}