fix: Changed units of Kalshi volume to shares traded
- Previously was in dollars - Also some tweaks to stars - Also some tweaks too Good Judgment fetching1
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@ -21,9 +21,10 @@ export async function goodjudgment() {
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let jsonTable = Tabletojson.convert(content, { stripHtmlFromCells: false })
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let jsonTable = Tabletojson.convert(content, { stripHtmlFromCells: false })
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jsonTable.shift() // deletes first element
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jsonTable.shift() // deletes first element
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jsonTable.pop() // deletes last element
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jsonTable.pop() // deletes last element
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if (endpoint == endpoints[1]) jsonTable.pop() // pop again
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if (endpoint == endpoints[1]) jsonTable.pop() // pop again\
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//console.log(jsonTable)
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// console.log(jsonTable)
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for (let table of jsonTable) {
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for (let table of jsonTable) {
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// console.log(table)
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let title = table[0]['0']
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let title = table[0]['0']
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.split("\t\t\t")
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.split("\t\t\t")
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.splice(3)[0]
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.splice(3)[0]
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@ -50,7 +51,11 @@ export async function goodjudgment() {
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probability: Number(row['3'].split("%")[0]) / 100,
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probability: Number(row['3'].split("%")[0]) / 100,
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type: "PROBABILITY"
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type: "PROBABILITY"
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}))
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}))
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let analysis = table.filter(row => row[0].includes("Examples of Superforecaster commentary"))[0][0]
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let analysis = table.filter(row => row[0]? row[0].toLowerCase().includes("commentary") : false)
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// "Examples of Superforecaster Commentary" / Analysis
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// The following is necessary twite, because we want to check if there is an empty list, and then get the first element of the first element of the list.
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analysis = analysis ? analysis[0] : ""
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analysis = analysis ? analysis[0] : ""
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// console.log(analysis)
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// console.log(analysis)
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let standardObj = ({
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let standardObj = ({
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"title": title,
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"title": title,
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@ -63,7 +68,7 @@ export async function goodjudgment() {
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"stars": calculateStars("Good Judgment", ({})),
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"stars": calculateStars("Good Judgment", ({})),
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},
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},
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"extra": {
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"extra": {
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"superforecastercommentary": analysis
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"superforecastercommentary": analysis || ""
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}
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}
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})
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})
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results.push(standardObj)
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results.push(standardObj)
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@ -73,7 +78,7 @@ export async function goodjudgment() {
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let string = JSON.stringify(results, null, 2)
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let string = JSON.stringify(results, null, 2)
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// fs.writeFileSync('./data/goodjudgment-questions.json', string);
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// fs.writeFileSync('./data/goodjudgment-questions.json', string);
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// fs.writeFileSync('./goodjudgment-questions-test.json', string);
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// fs.writeFileSync('./goodjudgment-questions-test.json', string);
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// console.log(results)
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console.log(results)
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await upsert(results, "goodjudgment-questions")
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await upsert(results, "goodjudgment-questions")
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console.log("Done")
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console.log("Done")
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}
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}
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@ -47,12 +47,12 @@ async function processMarkets(markets) {
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"options": options,
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"options": options,
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"timestamp": new Date().toISOString(),
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"timestamp": new Date().toISOString(),
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"qualityindicators": {
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"qualityindicators": {
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"stars": calculateStars("Kalshi", ({volume: market.volume, interest: market.open_interest})),
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"stars": calculateStars("Kalshi", ({shares_volume: market.volume, interest: market.open_interest})),
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"yes_bid": market.yes_bid,
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"yes_bid": market.yes_bid,
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"yes_ask": market.yes_ask,
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"yes_ask": market.yes_ask,
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"spread": Math.abs(market.yes_bid-market.yes_ask),
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"spread": Math.abs(market.yes_bid-market.yes_ask),
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"volume": market.volume,
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"shares_volume": market.volume, // Assuming that half of all buys are for yes and half for no, which is a big if.
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"open_interest": market.open_interest
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// "open_interest": market.open_interest, also in shares
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}
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}
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})
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})
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return result
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return result
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@ -132,8 +132,8 @@ function calculateStarsHypermind(data) {
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}
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}
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function calculateStarsKalshi(data) {
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function calculateStarsKalshi(data) {
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let nuno = data => data.interest > 500 && data.volume > 10000 ? 4 : (data.volume > 1000 ? 3 : 2)
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let nuno = data => data.interest > 500 && data.shares_volume > 10000 ? 4 : (data.shares_volume > 2000 ? 3 : 2)
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let eli = (data) => data.interest > 10000 ? 5 : 4
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// let eli = (data) => data.interest > 10000 ? 5 : 4
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// let misha = (data) => 4
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// let misha = (data) => 4
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let starsDecimal = average([nuno(data)]) //, eli(data), misha(data)])
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let starsDecimal = average([nuno(data)]) //, eli(data), misha(data)])
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// Substract 1 star if probability is above 90% or below 10%
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// Substract 1 star if probability is above 90% or below 10%
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