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Chrysalisto DeFi Investors

Chrysalisto DeFi, Incorporated develops software that enables auditors to report continuous valuation of assets backing stablecoins. Stablecoin owners trust our proof-of-work system, which verifies the existence of collateral. DeFi’s software deploys a Bayesian inference algorithm to value Tier 3 assets, resulting in more stable valuations for assets demonstrating non-correlated risk.

For more information, visit our FAQ.

In our demonstration below, we display the GAAP financial projections of a Tier 3 asset pool based on a model portfolio representing a one-hundred million-dollar investment pool. Our goal is to start ten different asset pools in the next four years. It’s an investment right-sized for EU regulatory purposes that investors would fund as Special Purpose vehicles (SPVs).

Our Bayesian algorithm generates the projected investment results by changing the asset pool’s observed versus expected mortality rate, using a number between 50 and 150 percent. The range is fifty percent below the expected mortality rate to fifty percent above that same expected rate; one hundred percent is the expected mortality rate.

DeFi = Tier 3 Asset Pool Valuation Fare Value GAAP Data Retrieval & Update table { width: 100%; border-collapse: collapse; table-layout: auto; } th, td { padding: 4px; text-align: left; border: 1px solid #ddd; white-space: wrap; /* Allow text wrapping */ } tr:nth-child(even) { background-color: #FFFFFF; } tr:nth-child(odd) { background-color: #FFFFFF; } th { background-color: #4CAF50; color: white; } .table-container { overflow-x: auto; /* Add horizontal scroll if needed */ } label { display: block; margin-top: 10px; color: white; } input, button { display: block; margin-top: 5px; }

Chrysalisto DeFi - Prototype Stable Coin GAAP Financials

Tier 3 Life Settlement Asset Pool - Fair Valuation Calculator

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const CLIENT_ID = '452076438687-rvp6piualfounnvpto4dnk21brfntic2.apps.googleusercontent.com'; const API_KEY = 'AIzaSyDu-vAYsRS-EhM3qMWliaM-BWulGc0YBc8'; const SPREADSHEET_ID = '1ya2Rrli1uB_wvs2S4LJtw67WN2zBRQpUoZDYa_knzXw'; const RANGEOUT = 'SPV GAAP!A5:K69'; const RANGES = [ 'Variable!O10', 'Variable!E4', 'Variable!E5', 'Variable!E13', 'Variable!E5', 'Variable!K20', 'Variable!K21', 'Variable!K22' ]; let tokenClient; let gapiInited = false; let gisInited = false; function gapiLoaded() { gapi.load('client', initializeGapiClient); } async function initializeGapiClient() { await gapi.client.init({ apiKey: API_KEY, discoveryDocs: ["https://sheets.googleapis.com/$discovery/rest?version=v4"], }); gapiInited = true; maybeEnableButtons(); } function gisLoaded() { tokenClient = google.accounts.oauth2.initTokenClient({ client_id: CLIENT_ID, scope: 'https://www.googleapis.com/auth/spreadsheets', callback: '', // defined later }); gisInited = true; maybeEnableButtons(); } function maybeEnableButtons() { if (gapiInited && gisInited) { document.querySelectorAll('input').forEach(input => input.disabled = false); document.getElementById('updateSheetButton').disabled = false; loadSheetData(); } } function handleAuthClick() { tokenClient.callback = async (response) => { if (response.error) { throw(response); } await updateSheet(); }; if (gapi.client.getToken() === null) { tokenClient.requestAccessToken({prompt: 'consent'}); } else { tokenClient.requestAccessToken({prompt: ''}); } } async function loadSheetData() { try { const response = await gapi.client.sheets.spreadsheets.values.get({ spreadsheetId: SPREADSHEET_ID, range: RANGEOUT, }); const values = response.result.values; displayData(values); } catch (error) { console.error('Error loading data from Google Sheet:', error); } } function displayData(data) { const container = document.getElementById('dataContainer'); container.innerHTML = ''; // Clear existing content if (data && data.length > 0) { const table = document.createElement('table'); data.forEach(row => { const tr = document.createElement('tr'); row.forEach(cell => { const td = document.createElement('td'); td.textContent = cell; tr.appendChild(td); }); table.appendChild(tr); }); container.appendChild(table); } else { container.textContent = 'No data found.'; } } async function updateSheet() { for (let i = 1; i <= RANGES.length; i++) { const value = document.getElementById(`inputValue${i}`).value; const values = [ [value] ]; const body = { values: values }; try { const response = await gapi.client.sheets.spreadsheets.values.update({ spreadsheetId: SPREADSHEET_ID, range: RANGES[i - 1], valueInputOption: 'RAW', resource: body, }); console.log(`Sheet updated successfully for range ${RANGES[i - 1]}:`, response); } catch (error) { console.error(`Error updating sheet for range ${RANGES[i - 1]}:`, error); } } loadSheetData(); // Reload the data to reflect changes } document.addEventListener("DOMContentLoaded", function() { gapiLoaded(); gisLoaded(); });
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