portfolios.tools

YAML to JSON 변환기

포트폴리오 YAML 설정을 검증된 JSON으로 파싱하세요.

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

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$5
$1$50

작동 방식

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.

입력값이 변경될 때마다 YAML to JSON 변환기을(를) 사용하세요: 시장 변동, 새로운 기여금 또는 수정된 개인 가정 후. 소프트웨어 설치 없이 빠른 재실행을 위해 페이지를 북마크하세요.

단계별 안내

  1. YAML to JSON 변환기을(를) 열고 현재 입력값을 입력하세요.
  2. 계산된 출력과 요약 테이블을 검토하세요.
  3. 가정을 조정하고 시나리오를 나란히 비교하세요.

실전 예제

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.

한 번에 하나의 입력을 조정하여 민감도를 확인하세요. YAML to JSON 변환기은(는) 즉시 업데이트되므로 행동하기 전에 낙관적 및 보수적 가정을 스트레스 테스트할 수 있습니다.

이 계산기를 사용할 때

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.

결정이 세금, 유동성 또는 하나의 공식이 포착하는 것 이상의 다년 전망을 포괄할 때 관련 도구와 함께 사용하세요.

흔한 실수

입력 단위나 오래된 시장 가격을 확인하지 않고 출력을 복사하는 것은 YAML to JSON 변환기에서 흔한 오류입니다. 행동하기 전에 티커, 백분율 및 날짜를 확인하세요.

단일 기준 시나리오만 실행하면 꼬리 위험을 무시합니다. 보수적 입력으로 스트레스 테스트하고 결정이 중요할 때 아래 나열된 관련 도구와 비교하세요.

공식

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.

제한 사항 및 가정

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.

주요 용어

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.
모델 가정
Each field's resolved JavaScript type (string, number, boolean, null, object, array) is shown in a flat summary view for quick type inspection.

대안 비교

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.

portfolios.tools의 내부 링크는 계산기 체인을 도와줍니다: 먼저 YAML to JSON 변환기을(를) 실행한 다음, 아래 관련 섹션의 전문 도구로 엣지 케이스를 검증하세요.

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.

휴대폰이나 태블릿에서 YAML to JSON 변환기을(를) 사용할 수 있나요?

예. 이 도구는 데스크톱과 동일한 공식으로 모바일 브라우저에서 완전히 실행됩니다. 선택적 localStorage는 브라우저 설정에서 활성화된 경우 기기에 입력값을 기억할 수 있습니다.

YAML to JSON 변환기을(를) 사용할 때 내 데이터는 어디에 저장되나요?

당사 서버 어디에도 없습니다. 계산은 브라우저에서 로컬로 실행됩니다. 선택적 localStorage는 기기에서만 양식 필드를 저장하며 네트워크를 통해 포트폴리오 번호를 전송하지 않습니다.

세금 또는 법적 결정에 YAML to JSON 변환기에 의존해야 하나요?

아니요. 이 도구는 교육용 수학만 제공합니다. 세법, 계좌 규칙 및 개인 상황은 다양합니다. 중대한 결과를 초래하는 거래 전에 자격을 갖춘 세무 또는 법률 전문가와 상담하세요.

관련 도구

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.