Published
Edited
Apr 1, 2021
md`# Wall Street Bets`
d3 = require("d3@5")
stock_data = FileAttachment("stock_data.csv").csv()
function getPercentChange(stock_data){
let B = Object.keys(stock_data[0]).filter((colName) => colName.toUpperCase() === colName && colName.length > 0);
let stock_percent_change = stock_data.slice(0,-1).map(obj => ({...obj}));
for (let i = 0; i < B.length; i++){
let current_stock_percent_change = arrayPercentChange(stock_data, B[i]);
for (let j = 0; j < stock_percent_change.length; j++){
stock_percent_change[j][B[i]] = current_stock_percent_change[j]
}
}
return stock_percent_change
}
function arrayPercentChange(stock_data, stock) {
let percentsArray = new Array(stock_data.length-1);
for(let i = 0; i < stock_data.length-1; i++){
percentsArray[i] = (stock_data[i+1][stock] - stock_data[i][stock])/stock_data[i][stock];
}
return percentsArray
}
max_multiplier = {
let multiplier = 1;
let percentsArray = getPercentChange(stock_data);
let B = Object.keys(stock_data[0]).filter((colName) => colName.toUpperCase() === colName && colName.length > 0);
for (let i = 0; i < percentsArray.length; i++) {
let stock_values = B.map(name => percentsArray[i][name])
let max = Math.max(...stock_values, 0);
multiplier *= (max+1);
}
return multiplier;
}
min_multiplier = {
let multiplier = 1;
let percentsArray = getPercentChange(stock_data);
let B = Object.keys(stock_data[0]).filter((colName) => colName.toUpperCase() === colName && colName.length > 0);
for (let i = 0; i < percentsArray.length; i++) {
let stock_values = B.map(name => percentsArray[i][name])
let min = Math.min(...stock_values, 0);
multiplier *= (min+1);
}
return multiplier;
}
ave_multiplier = {
let multiplier = 1;
let percentsArray = getPercentChange(stock_data);
let B = Object.keys(stock_data[0]).filter((colName) => colName.toUpperCase() === colName && colName.length > 0);
for (let i = 0; i < percentsArray.length; i++) {
let stock_values = B.map(name => percentsArray[i][name])
let something = stock_values.reduce((a,b) => (a+b),0)/stock_values.length;
multiplier *= (something+1);
}
return multiplier;
}
rand_multiplier = {
let multiplier = 1;
let percentsArray = getPercentChange(stock_data);
let B = Object.keys(stock_data[0]).filter((colName) => colName.toUpperCase() === colName && colName.length > 0);
for (let i = 0; i < percentsArray.length; i++) {
let stock_values = B.map(name => percentsArray[i][name])
let weights = B.map(() => Math.random());
let weights_sum = weights.reduce((a,b) => (a+b),0);
weights = weights.map((a) => a/weights_sum);
stock_values = stock_values.map((a,index) => a*weights[index]);
let something = stock_values.reduce((a,b) => (a+b),0);
multiplier *= (something+1);
}
return multiplier;
}
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.