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BTC/USDT Order Book L2 — Binance, 3 months
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BTC/USDT Order Book L2 — Binance, 3 months
Data preview (50 rows)
| open | high | low | close | volume |
|---|---|---|---|---|
| 42318.50 | 42401.20 | 42290.00 | 42375.80 | 184.320 |
| 42375.80 | 42390.00 | 42340.10 | 42351.40 | 97.841 |
| 42351.40 | 42415.60 | 42348.90 | 42408.20 | 213.574 |
| 42408.20 | 42422.00 | 42381.30 | 42389.70 | 141.203 |
One-time purchase · Lifetime access
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QuantVendor
★ 4.9 · 12 reviews
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What's on the platform
Six dataset categories for quant research and AI training
Order Book L2
Aggregated bid/ask price levels with size at each level. Ideal for market microstructure and liquidity modelling.
price, size, side, timestampOrder Book L3
Individual order-level messages — each submission, cancellation, and fill. For optimal execution and queue-position models.
order_id, type, price, qty, tsOHLCV
Open, High, Low, Close, Volume candles at any interval. Standard input for technical analysis and deep-learning price models.
open, high, low, close, volumeLabeled Data
Pre-labeled rows with outcome signals (e.g. structure_break, density_bounce). Ready for classification models.
timestamp, features…, labelStrategy Logs
Historical trade logs from live or backtested strategies — entry/exit, P&L, hold times. For walk-forward validation.
entry_ts, exit_ts, side, pnlOther
Sentiment, on-chain metrics, funding rates, liquidations, or anything that doesn't fit the above categories.
custom schemaBuilt for trust
Every part of the platform protects both sides of the trade
Escrow protection
Buyer funds are held for 3 days after payment. Open a dispute if the data isn't what was described — admin reviews and refunds if warranted.
Per-buyer watermarking
Every download is uniquely watermarked with your buyer ID encoded bit-by-bit across all rows of the price column. Re-selling is traceable.
Automated validation
Every upload is checked automatically. Datasets that don't pass are rejected before they reach buyers.
MCP & API ready
Use datasets from Cursor, Windsurf, or Claude. Our MCP server lets AI agents search, preview, and fetch download URLs without leaving the IDE.
Use datasets from your IDE
QuantPlace has a Model Context Protocol server. Connect it to Claude, Cursor, or Windsurf and let your AI agent search datasets, preview columns, and fetch download URLs — without leaving the editor.
View Developer Hub →// Claude Code — add QuantPlace MCP claude mcp add quantplace \ -- python /path/to/quantplace-mcp/server.py // Then ask Claude: // "Search for BTC order book datasets under $50" // "Show me a preview of dataset abc-123" // "Download my latest purchase"
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