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AI Finds the Edge.

Drop a CSV or Excel file โ€” screener results, custom trade logs, research data โ€” and let the AI hunt for correlations, optimal ranges, and patterns hidden in your numbers.

CSV & ExcelAI AnalysisCorrelation DetectionFilter BacktestMultiple Datasets
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tradersabyss.com ยท Data Hub
๐Ÿ“Š Dashboard
๐Ÿ““ Trade Journal
๐Ÿ“‚ Data Hub
๐Ÿ“ˆ Analytics
โšก Alpha - Quant
trades.csv ร—
screener_results.xlsx ร—
+ Add Dataset
๐Ÿ“Š trades.csv ยท 342 rows ยท 8 cols
๐Ÿ”ฌ Analyze with AI โ˜…
๐Ÿ“ฅ Re-upload
๐Ÿ—‘๏ธ
Find Correlations
Best Setup
Win Rate by Variable
Trend Analysis
๐Ÿ” Search rows...
342 rows
Date โ–ฒTickerSideEntryStopP&LGap %
05/22NVDALong877.40872.00+$8474.2%
05/22TSLAShort182.30184.80โˆ’$3121.8%
05/21SPYLong528.10525.40+$2340.9%
05/21AAPLLong197.40195.80+$1933.1%
Showing 4 of 342 rows โ€” use AI to analyze the full dataset

Drop, import,
and let AI do the work.

Drag a file onto the upload zone, preview the parsed rows, confirm โ€” and your dataset is ready in seconds. The AI can analyze the full dataset even when you're only viewing a sample, and every analysis routes straight to your Quant Researcher.

CSV, XLSX, XLS, TSV โ€” any spreadsheet you already have works instantly.
Preview before import โ€” see the parsed rows and column types before committing. Fix header issues before they matter.
Multiple datasets โ€” run multiple sheets simultaneously. Attach specific sheets to an AI conversation for targeted analysis.
Re-upload anytime โ€” update a dataset with a new file. Rows are replaced, not merged, so you always have the freshest data.
๐Ÿ“‚
Drop a CSV or Excel file here
Supports .csv, .xlsx, .xls, .tsv ยท Click to browse
Works great with:
โœ“ Broker export CSV (any broker)
โœ“ Custom trade logs with Gap %, Float, Setup
โœ“ Stock screener results
โœ“ Any spreadsheet you want AI to analyze

One click.
AI correlation report.

Click "Analyze with AI" and the Quant Researcher opens with your sheet pre-loaded and a correlation-hunting prompt ready to fire. Four quick-analysis chips cover the most common research questions โ€” no prompting skills required.

Find Correlations โ€” ranks every column by signal strength for predicting winning trades.
Best Setup โ€” identifies which setup has the strongest edge (win rate + avg P&L + sample size combined).
Win Rate by Variable โ€” breaks down every categorical column by win vs loss to find hidden patterns.
Trend Analysis โ€” time-based patterns by day, month, and date columns you didn't know to look for.
Quick Analysis
๐Ÿ”— Find Correlations
๐Ÿ† Best Setup
๐Ÿ“Š Win Rate by Variable
๐Ÿ“‰ Trend Analysis
โ†ณ Opening in Quant Researcher...
trades.csv selected ยท Analyzing 342 rows across 8 columns for correlation patterns.

Your data. Your edge. Revealed.

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