portfolios.tools

YAML to JSON Converter

Parse portfolio YAML configs into validated JSON.

Results
"{\n  \"portfolio\": {\n    \"name\": \"Growth\",\n    \"allocation\": {\n      \"stocks\": 80,\n      \"bonds\": 20\n    }\n  }\n}"

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How It Works

Paste YAML configuration text for portfolio settings, rebalance targets, or API parameters. The tool parses key value pairs with indentation aware nesting and converts to formatted JSON. Portfolio teams often store target weights, ticker lists, and threshold rules in YAML because it is human readable. Paste a config from your version control repo or infrastructure templates to validate structure before deploying to production scripts. Example configs include rebalance thresholds, excluded tickers, and cash reserve percentages under a single portfolio root key. Paste portfolio YAML with tickers, weights, and targets: converter validates structure and outputs JSON for CI pipelines. Use YAML anchors for repeated ticker targets across multiple account blocks then convert once to flat JSON. Paste portfolio YAML with tickers, weights, and targets: converter validates structure and outputs JSON for CI pipelines. Use YAML anchors for repeated ticker targets across multiple account blocks then convert once to flat JSON.

Review the parsed JSON output, type summary for each field, and any parse errors with line numbers. Use this to catch typos in ticker symbols, wrong numeric types on weight fields, or missing nested keys before a rebalance job runs. Copy the JSON for use in JavaScript tooling or download it for CI pipelines that expect JSON portfolio configs. When weights must sum to 100, confirm numeric types in the summary before exporting. A string weight of 25 instead of 25.0 will fail silently in some downstream math libraries. Use output in rebalance scripts or serverless functions that cannot parse YAML natively in browser bundles. CI pipelines lint JSON easier than YAML: convert before schema validation in GitHub Actions. Validate JSON output in CI against schema before rebalance cron consumes converted config. Use output in rebalance scripts or serverless functions that cannot parse YAML natively in browser bundles. CI pipelines lint JSON easier than YAML: convert before schema validation in GitHub Actions. Validate JSON output in CI against schema before rebalance cron consumes converted config.

or serverless functions that cannot parse YAML natively in browser bundles. CI pipelines lint JSON easier than YAML: convert before schema validation in GitHub Actions. Validate JSON output in CI against schema before rebalance cron consumes converted config. Use output in rebalance scripts or serverless functions that cannot parse YAML natively in browser bundles. CI pipelines lint JSON easier than YAML: convert before schema validation in GitHub Actions. Validate JSON output in CI against schema before rebalance cron consumes converted config.

Use YAML to JSON Converter whenever inputs change: after market moves, new contributions, or revised personal assumptions. Bookmark the page for quick reruns without installing software.

Step by step

  1. Paste YAML text in the input area
  2. Review the JSON output and type summary
  3. Copy or download the converted JSON

Worked example

Paste YAML configuration text for portfolio settings, rebalance targets, or API parameters. Enter the sample inputs described in How it works to reproduce the scenario step by step.

Adjust one input at a time to see sensitivity. YAML to JSON Converter updates instantly so you can stress test optimistic and conservative assumptions before acting.

When to use this calculator

Reach for YAML to JSON Converter when parse portfolio yaml configs into validated json.. It suits quick what if analysis before trades, allocation changes, or plan updates.

Pair with related tools when the decision spans taxes, liquidity, or multi year projections beyond what one formula captures.

Common mistakes

Copying outputs without checking input units or stale market prices is a frequent error with YAML to JSON Converter. Confirm tickers, percentages, and dates before acting.

Running a single baseline scenario ignores tail risks. Stress test with conservative inputs and compare against related tools listed below when the decision is material.

The Formula

Indentation based line parser with key: value regex. Scalar parser handles booleans, null, integers, floats, quoted strings. Nested objects via indentation stack. Type summary walks final JSON object tree.

Simple parser supports common YAML features. Complex YAML (anchors, tags, multi line strings) may not parse. Validate critical portfolio configs against your production schema after conversion. For production pipelines, add a schema test that asserts required keys exist post conversion and before deploy to production. Conversion runs client side: large files above ten thousand lines may slow older mobile browsers briefly. Large YAML files parse synchronously: split multi account configs into separate files if slow. Scientific notation weights in YAML parse correctly to JSON numbers for micro cap sleeve fractions. Split very large multi account YAML into files to avoid mobile browser parse delay. Conversion runs client side: large files above ten thousand lines may slow older mobile browsers briefly. Large YAML files parse synchronously: split multi account configs into separate files if slow. Scientific notation weights in YAML parse correctly to JSON numbers for micro cap sleeve fractions. Split very large multi account YAML into files to avoid mobile browser parse delay.

Limitations and assumptions

Simple parser supports common YAML features. Complex YAML (anchors, tags, multi line strings) may not parse. Validate critical portfolio configs against your production schema after conversion. For production pipelines, add a schema test that asserts required keys exist post conversion and before deploy to production. Conversion runs client side: large files above ten thousand lines may slow older mobile browsers briefly. Large YAML files parse synchronously: split multi account configs into separate files if slow. Scientific notation weights in YAML parse correctly to JSON numbers for micro cap sleeve fractions. Split very large multi account YAML into files to avoid mobile browser parse delay. Conversion runs client side: large files above ten thousand lines may slow older mobile browsers briefly. Large YAML files parse synchronously: split multi account configs into separate files if slow. Scientific notation weights in YAML parse correctly to JSON numbers for micro cap sleeve fractions. Split very large multi account YAML into files to avoid mobile browser parse delay. YAML to JSON Converter does not replace personalized advice. Fees, slippage, account specific rules, and behavioral constraints may change real world outcomes.

Key terms

How does the YAML parser work
The tool uses a simple YAML parser that reads key: value pairs handling indentation for nested objects, comments (#), and scalar types (boolean, null, integer, float, string).
What YAML value types are detected
true → boolean, false → boolean, null/~ → null, integer regex → number, float regex → number, quoted strings → string, everything else → string.
Model assumption
Each field's resolved JavaScript type (string, number, boolean, null, object, array) is shown in a flat summary view for quick type inspection.

Compare alternatives

Pair with Portfolio Rebalancer and YAML friendly automation scripts on portfolios. Use those calculators when yaml to json converter alone does not capture the full decision.

Internal links on portfolios.tools help you chain calculators: run YAML to JSON Converter first, then validate edge cases with a specialized tool from the related section below.

FAQ

How does the YAML parser work?

The tool uses a simple YAML parser that reads key: value pairs handling indentation for nested objects, comments (#), and scalar types (boolean, null, integer, float, string). Arrays at root level are noted but not fully parsed. Portfolio configs often nest holdings under assetClass or accounts keys: the parser walks indentation stacks to rebuild that hierarchy as JSON objects your scripts can consume. Inline comments after values are stripped so you can document each ticker line without breaking the parse. YAML anchors and aliases flatten to expanded JSON objects: duplicate ticker rows merge by symbol in output. Ticker symbols normalize to uppercase in JSON output for downstream rebalance script consistency. YAML comment lines stripped during parse: document weights in README not inline hashes. YAML anchors and aliases flatten to expanded JSON objects: duplicate ticker rows merge by symbol in output. Ticker symbols normalize to uppercase in JSON output for downstream rebalance script consistency. YAML comment lines stripped during parse: document weights in README not inline hashes.

What YAML value types are detected?

true → boolean, false → boolean, null/~ → null, integer regex → number, float regex → number, quoted strings → string, everything else → string. Weight fields like 0.35 parse as floats while share counts like 100 parse as integers. Misquoted tickers stay strings, which helps you spot symbols that should not be numbers before a rebalance script runs. Percentages written as 12% remain strings unless you store them as numeric 12 or 0.12 explicitly. Comments in YAML are stripped during conversion: document assumptions in separate README not inline hashes. Comments in YAML are stripped during conversion: document assumptions in separate README not inline hashes.

What is the type summary?

Each field's resolved JavaScript type (string, number, boolean, null, object, array) is shown in a flat summary view for quick type inspection. A targetWeight showing as string instead of number flags a config bug that would break percentage math downstream. Scan the summary after every edit to confirm types match your portfolio schema expectations. The flat view lists nested keys with dot notation so deep paths stay visible without expanding JSON trees manually. Weight sums not forced to one hundred percent: normalize in downstream rebalance script. Weight sums not forced to one hundred percent: normalize in downstream rebalance script.

How are nested objects handled?

If a key has an empty value or pipe/greater-than sign, the parser treats it as a nested object and consumes subsequent indented lines as child keys. Multi level portfolio trees with accounts, sleeves, and tickers rely on this. Keep indentation consistent: two spaces per level is the safest convention for cross tool compatibility. Mixing tabs and spaces is the most common cause of keys landing at the wrong hierarchy level. Invalid indentation produces parse errors with line hints: fix two space indent per level for standard layout. Invalid indentation produces parse errors with line hints: fix two space indent per level for standard layout.

What happens with invalid YAML?

Invalid YAML lines produce descriptive line number errors. The output shows both the parsed JSON and any parse errors encountered. Fix the reported line, re paste, and confirm the type summary before copying JSON into automation. Common fixes include missing colons, tabs instead of spaces, and unclosed quotes on ticker strings. Keep a known good sample config in version control to diff against when debugging parse failures. Round trip JSON to YAML is not supported here: use dedicated formatters if you need bidirectional editing. Version control JSON output beside YAML source so CI diff catches accidental weight drift. Round trip JSON to YAML is not supported here: use dedicated formatters if you need bidirectional editing. Version control JSON output beside YAML source so CI diff catches accidental weight drift.

Can I use YAML to JSON Converter on a phone or tablet?

Yes. YAML to JSON Converter runs entirely in your mobile browser with the same formulas as desktop. Optional localStorage may remember inputs on your device when enabled in browser settings.

Where is my data stored when I use YAML to JSON Converter?

Nowhere on our servers. Calculations execute locally in your browser. Optional localStorage saves form fields on your device only and never transmits portfolio numbers over the network.

Should I rely on YAML to JSON Converter for tax or legal decisions?

No. YAML to JSON Converter provides educational math only. Tax law, account rules, and personal circumstances vary. Consult a qualified tax or legal professional before transactions with material consequences.

Related Tools

Pair with Portfolio Rebalancer and YAML friendly automation scripts on portfolios.tools when moving configs from editable YAML to runtime JSON for rebalance jobs, dashboard imports, and CI validation steps. CSV to Financial JSON Converter handles spreadsheet exports when your broker lacks YAML export. Rebalance Calculator consumes JSON weights produced here for automated drift checks each quarter. CSV to Financial JSON Converter handles spreadsheet exports when your broker lacks YAML export.