{"id":37136747,"url":"https://github.com/shanehull/quickval","last_synced_at":"2026-02-03T03:14:34.606Z","repository":{"id":206607531,"uuid":"717288845","full_name":"shanehull/quickval","owner":"shanehull","description":"An interactive CLI tool that uses the QuickFS.net API to perform 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returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["finance","golang","stocks","valuation"],"created_at":"2026-01-14T15:56:17.929Z","updated_at":"2026-01-14T15:56:18.887Z","avatar_url":"https://github.com/shanehull.png","language":"Go","funding_links":[],"categories":[],"sub_categories":[],"readme":"# quickval\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Go Report](https://goreportcard.com/badge/github.com/shanehull/quickval)](https://goreportcard.com/report/github.com/shanehull/quickval)\n\n[![Test Workflow](https://github.com/shanehull/quickval/actions/workflows/test.yaml/badge.svg?branch=main)](https://github.com/shanehull/quickval/actions/workflows/test.yaml/badge.svg?branch=main)\n[![Lint Workflow](https://github.com/shanehull/quickval/actions/workflows/lint.yaml/badge.svg?branch=main)](https://github.com/shanehull/quickval/actions/workflows/lint.yaml/badge.svg?branch=main)\n[![Release Workflow](https://github.com/shanehull/quickval/actions/workflows/release.yaml/badge.svg?branch=release)](https://github.com/shanehull/quickval/actions/workflows/release.yaml/badge.svg?branch=release)\n\n`quickval` is an interactive CLI tool that leverages the free [QuickFS.net API](https://quickfs.net/features/public-api) to step through security valuations.\n\n\u003cp align=\"center\"\u003e\n    \u003cimg src=\"docs/images/quickval.gif\" width=\"800\" alt=\"quickval cmd line example\"\u003e\n\u003c/p\u003e\n\n## Supported Valuation Models:\n\n- DCF Growth-Exit Model\n- DCF Two-Stage Perpetual Growth Model\n- DDM Two-Stage Perpetual Growth Model\n\n## Disclaimer:\n\nLike any valuation model that attempts to predict a possible future outcome, `quickval` does not produce an\naccurate representation of future value. It serves as a yardstick measure based on historical inputs, not the future stock price.\n\nIf you're looking to determine the true value of a company, well that's just not possible, so only use this as one of many inputs\nto determine a best guess.\n\nDon't be a turkey (or a reverse turkey).\n\n## Install:\n\nDownload the latest binary from [releases](https://github.com/shanehull/quickval/releases) and place it in a directory\nthat is in your PATH.\n\n### Examples\n\nMacOS (Intel):\n\n```bash\ncurl -L https://github.com/shanehull/quickval/releases/latest/download/quickval-darwin-amd64 -o \\\n    /usr/local/bin/quickval \u0026\u0026 chmod +x /usr/local/bin/quickval\n```\n\nMacOS (Apple Silicon):\n\n```bash\ncurl -L https://github.com/shanehull/quickval/releases/latest/download/quickval-darwin-arm64 -o \\\n    /usr/local/bin/quickval \u0026\u0026 chmod +x /usr/local/bin/quickval\n```\n\nLinux:\n\n```bash\ncurl -L https://github.com/shanehull/quickval/releases/latest/download/quickval-linux-amd64 -o \\\n    /usr/local/bin/quickval \u0026\u0026 chmod +x /usr/local/bin/quickval\n```\n\nWindows:\n\n🤷🤷🤷🤷\n\n## Usage:\n\nYou can simply run `quickval` with no arguments to get started, however, to avoid being prompted for certain inputs, you can add\narguments to the global command, e.g:\n\n```\nNAME:\n   quickval - Perform quick valuations using the QuickFS API\n\nUSAGE:\n   quickval [global options] command [command options]\n\nCOMMANDS:\n   growth-exit, dcf, dcfe  Performs a growth-exit DCF model.\n   two-stage, dcf2, dcfp   Performs a two-stage DCF model.\n   dividend, ddm           Performs a two-stage DDM model.\n   help, h                 Shows a list of commands or help for one command\n\nGLOBAL OPTIONS:\n   --api-key value  api key for QuickFS API\n   --country value  country code for the ticker\n   --ticker value   ticker to base our valuation on\n   --help, -h       show help\n```\n\nSubcommands require some unique inputs and will prompt you if not supplied via CLI arguments.\n\nE.g; the growth-exit model takes the following args, but will prompt and suggest defaults (e.g. a CAGR for the growth rate) that\nmay or may not need to be tweaked, depending on your requirements:\n\n```\nNAME:\n   quickval growth-exit - Performs a growth-exit DCF model.\n\nUSAGE:\n   quickval growth-exit [command options] [arguments...]\n\nDESCRIPTION:\n   Performs a growth-exit DCF model with a high-growth stage and an exit multiple.\n\nOPTIONS:\n   --risk-free value     the risk-free rate in decimal format (default: 0)\n   --risk-premium value  the equity risk premium rate in decimal format (default: 0)\n   --current-fcf value   override the current FCF with a normalized number (default: 0)\n   --growth-rate value   override the growth rate with your own number (default: 0)\n   --fy-history value    override the growth rate with your own number (default: 0)\n   --help, -h            show help\n```\n\n## CV (Coefficient of Variance) Weighted WACC:\n\nYou may notice an option when selecting the Discount Rate calculation method called \"CV Weighted WACC\".\n\nThis is an alternative, experimental option for weighing the Cost of Capital. It's a replacement for the\n\"preposterous\" (in Seth Klarman's words) use of Beta as a measure of risk.\n\nIt aims to gain a value edge, ignoring price altogether.\n\nIt uses a Coefficient of Variance - a measure of relative variance in comparison to the mean of a set of numbers.\nIn this case, the set of numbers is Free Cash Flow, or Dividends paid when performing a DDM valuation model.\n\nIt is calculated like so:\n\n$$CV = (a / X)$$\n\n$$\nWhere \\ a = \\ Standard \\ Deviation\n$$\n\n$$\nand\n$$\n\n$$\nX = \\ Mean\n$$\n\n:warning: NOTE\n\nThis is an experimental feature, and there is quite a lot wrong with it, namely the small sample size used to calculate variance.\nIt may not be any better than a WACC calculated using the CAPM model.\n\nI emailed Aswath Damodaran (\"The Dean of Valuation\") on the subject, and he said, quote:\n\n\u003e The problem with using free cash flows or accounting earnings to measure risk is both statistical and theoretical.\n\u003e Statistically, you don’t have very many observations and pragmatically, in a diversified portfolio,\n\u003e it is only the portion of the risk that you cannot diversify away that goes into a discount rate.\n\u003e Hence, if you decide to compute your risk using it, you need to scale it to the average to get a measure of relative risk.\n\nI tend to agree with his points, however, I don't believe Modern Portfolio Theory (MPT) is an effective method of risk reduction,\nso I thought I'd explore another option.\nIf you have similar views, then give it a try, but no matter the methods used to measure risk, you should not be mistaking a\nDCF calculation for an accurate indication of future price.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshanehull%2Fquickval","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshanehull%2Fquickval","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshanehull%2Fquickval/lists"}