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Setting up Miniconda with Conda Forge to avoid licensing issues

brew install miniconda
conda config --remove channels defaults
conda config --add channels conda-forge
conda config --set channel_priority strict

Before changing the config, these are the default channels:

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function getTypeName(x: any): string {
  return x === undefined ? 'undefined' : x === null ? 'null' : /^(?:class|function) (\w+)/.exec(x.constructor.toString())![1]
}

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/bin/[
/bin/aa-enabled
/bin/aa-exec
/bin/aa-features-abi
/bin/aclocal
/bin/aclocal-1.16
/bin/addpart
/bin/addr2line
/bin/apt
/bin/apt-cache

jcayzac

Frontend Design Decisions

# Colors

§ Specify colors in OKLCH

This lets us choose from a wider gamut of colors than sRGB, and for instance pick P3 colors.

---

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#!/usr/bin/env bash
set -eu -o pipefail

echo "Pruning local tracking branches that don't exist anymore on the remote…"
git update

echo "Pruning local branches that have been merged…"
echo "Note: top-level branches are considered protected, only branches with a / in their name will be deleted."
git branch --format '%(refname:lstrip=2)' --merged | grep '/' || true | xargs -n 1 git branch -d

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Object.defineProperty(self, 'document', { value: {}, })
self.location = new URL('file:///nowhere')
import 'https://cdn.jsdelivr.net/pyodide/v0.24.1/full/pyodide.asm.js'
const { loadPyodide } = await import('https://cdn.jsdelivr.net/pyodide/v0.24.1/full/pyodide.mjs')

const pyodide = await loadPyodide()
await pyodide.loadPackage('micropip')
const micropip = pyodide.pyimport('micropip')

await Promise.all([

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export type SleepOptions = {
	signal?: AbortSignal

	/** If set, aborting will not fail the promise but instead fulfil it right away. */
	skipOnAbort?: true
}

export const sleep = (ms: number, options?: SleepOptions) =>
	new Promise<void>((ok, ng) => {
		// deno-lint-ignore prefer-const

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/**
 * Implements buy-and-hold rebalancing by splitting some cash inflow into the
 * most meaningful contributions:
 * 
 * The buckets whose valuations have fallen the most behind their target weight
 * are contributed to first. Then, contributions to the buckets with the largest
 * inflow from the previous step are prioritized, as to minimize the number of
 * transactions and thus transaction fees.
 * 
 * @param values Range with the current valuation of the portfolio's constituents.

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import chalk from 'chalk'
import ora from 'ora'
import process from 'node:process'

const success = chalk.green.bold(`OK`)
const failure = chalk.red.bold(`FAILED`)
const excludeStackFragment = `(${new URL(import.meta.url).pathname}:`

type TestBlock = (params: { test: TestFunction }) => unknown
type TestFunction = (description: string, body: TestBlock) => void

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// Based on Da, Gurun and Warachka's 2014 paper:
// "Frog in the Pan: Continuous Information and Momentum"
// PDF: https://www3.nd.edu/~zda/Frog.pdf

//@version=5
indicator("Information Discreteness", overlay=false, precision=1, timeframe="D")

LENGTH = input.int(title="Window Length", defval=365, minval=7)
SKIP_RECENT = input.int(title="Skip most recent", defval=30, minval=0)
MA_LENGTH = input.int(title="Average returns over", defval=7, minval=1)