Datasets:

henryzhang2024
/

qs-deepseek-platinum-v3

license: mit
task_categories:
  - text-generation
  - text2text-generation
language:
  - en
tags:
  - finance
  - trading
  - options
  - quantitative
size_categories:
  - 10K<n<100K

QS DeepSeek Platinum v3

High-quality training dataset for DeepSeek trading model.

Dataset Details

Total samples: 17,212
Format: OpenAI messages format (system/user/assistant)
Sources:
- qs-deepseek-platinum-15k (HF)
- Synthetic negative examples
- Live signals from Supabase

Data Quality

Metric	Value
Positive PnL	74.4%
Negative PnL	25.5%
Avg message length	2,220 chars
Max message length	8,922 chars

Label Distribution

Neutral/Hold: 35.9%
Strong Buy: 20.1%
Strong Sell: 16.2%
Buy: 13.0%
Sell: 10.4%

Improvements from v2

More negative examples (25.5% vs 2.3%)
Larger dataset (17k vs 13k)
Length filtered (max 9k chars)
Merged with live data

Usage

from datasets import load_dataset

dataset = load_dataset("henryzhang2024/qs-deepseek-platinum-v3")

License

MIT