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Smart OHLC Data API (OHLC + Sequencing)
A data API that provides OHLC bars augmented with intrabar sequencing (e.g., Open -> High -> Low -> Close). This solves the stop-loss/take-profit ambiguity without the heavy compute and storage costs of full tick data.
これが重要な理由
When you build algorithmic trading strategies on higher timeframes, you inevitably face the problem of intrabar ambiguity. If a single fifteen-minute candle hits both your stop loss and your take profit, standard data cannot tell you which happened first. You are forced to either buy expensive, massive high-resolution datasets that slow down your backtesting, or make blind assumptions that ruin your strategy's realistic performance metrics. You need a way to know the sequence of price movements without downloading gigabytes of noise.
- · Retail algorithmic traders and quantitative hobbyists who backtest swing and intraday strategies.向けに構築。
- · 最も可能性の高い収益化モデル: SaaS subscription。
痛み · ナラティブ
When you build algorithmic trading strategies on higher timeframes, you inevitably face the problem of intrabar ambiguity. If a single fifteen-minute candle hits both your stop loss and your take profit, standard data cannot tell you which happened first. You are forced to either buy expensive, massive high-resolution datasets that slow down your backtesting, or make blind assumptions that ruin your strategy's realistic performance metrics. You need a way to know the sequence of price movements without downloading gigabytes of noise.
スコア内訳
市場シグナル
市場投入
Independent quantitative developers and algorithmic traders building custom backtesting pipelines in Python.
~50,000 active globally across trading communities and GitHub.
Hacker News launch and algorithmic trading subreddits.
$29/month for API access to 5 years of historical smart-OHLC data.
15 paying users from initial community launches and direct outreach.
MVPの範囲 · 1～2週間
- Define the JSON/Parquet schema for OHLC-Path data
- Source 1 year of raw tick data for a single popular asset (e.g., SPY or BTC)
- Write a Python script to aggregate the raw ticks into the OHLC-Path format
- Validate the accuracy of the sequencing against the raw data
- Set up a basic FastAPI endpoint to serve the processed data
- Deploy the API to a scalable cloud provider (e.g., AWS or Render)
- Create documentation with Python code examples for backtesting integration
- Build a simple backtest script demonstrating the accuracy difference vs standard OHLC
- Integrate Stripe for subscription management and API key generation
- Draft and publish launch posts on developer and trading forums
差別化
失敗する可能性がある理由
自己反論 — 最も重要な信頼のシグナル
- 1Traders might find that simply using 1-minute data resolves enough ambiguity for their specific needs without paying for a new service.
- 2The cost of acquiring commercial licenses to redistribute derived market data might exceed early revenue.
- 3Institutional players already have internal tools for this, limiting the market strictly to price-sensitive retail users.
エビデンスの概要
AIがこのインサイトをどのように統合したか — 逐語的な引用はありません
Multiple algorithmic traders highlighted that while standard aggregated data is fine for general trends, it fails completely when conditional orders like stop-losses are triggered within a single bar. Users explicitly mentioned the need to know intrabar sequencing to avoid making false optimistic or pessimistic assumptions, while also noting the prohibitive storage and compute costs of using raw high-resolution data.
アクションプラン
コードを書く前に、この機会を検証しましょう
推奨する次のステップ
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ランディングページ文案キット
実際のRedditコメントから抽出したコピー、そのまま貼り付けられます
見出し
Smart OHLC Data API (OHLC + Sequencing)
サブ見出し
A data API that provides OHLC bars augmented with intrabar sequencing (e.g., Open -> High -> Low -> Close). This solves the stop-loss/take-profit ambiguity without the heavy compute and storage costs of full tick data.
ターゲットユーザー
対象：Retail algorithmic traders and quantitative hobbyists who backtest swing and intraday strategies.
機能リスト
✓ Historical data API delivering OHLC + Path (sequencing) data ✓ Pre-processed datasets for major equities and crypto pairs ✓ Python SDK for easy integration into Pandas/Polars workflows
どこで検証するか
r/r/algotrading にランディングページのリンクを投稿しましょう — そこがこの課題が発見された場所です。
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