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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.
為什麼這很重要
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.
- · 專為 Retail algorithmic traders and quantitative hobbyists who backtest swing and intraday strategies. 打造。
- · 最可能的變現方式：SaaS subscription。
痛點敘事
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.
得分構成
市場信號
Go-to-Market 啟動方案
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 方案 · 1-2 週
- 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
差異化
為什麼這件事可能失敗
自我反駁——最重要的信任度信號
- 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.
證據綜述
AI 如何合成此洞察——無原話引用
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.
行動計畫
在寫程式之前，先驗證這個商機
建議下一步
先驗證
訊號不錯但需要確認。先做一個落地頁收集 Email 訂閱，再決定是否開發。
落地頁文案包
基於真實 Reddit 評論整理的即用文案，可直接貼到落地頁
主標題
Smart OHLC Data API (OHLC + Sequencing)
副標題
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.
目標使用者
適合：Retail algorithmic traders and quantitative hobbyists who backtest swing and intraday strategies.
功能列表
✓ 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
去哪裡驗證
把落地頁連結發布到 r/r/algotrading——這裡就是這些痛點被發現的地方。
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