---
license: mit
task_categories:
- time-series-forecasting
tags:
- tsfile
- timeseries
- time-series
- finance
- stocks
- trending
- yahoo-finance
- market-data
- format:tsfile
pretty_name: Trending Stocks (Yahoo Finance) (TsFile)
size_categories:
- 10K<n<100K
---

# Trending Stocks (Yahoo Finance) (TsFile)

Apache TsFile version of [`ronantakizawa/trending-stocks-yahoo-finance`](https://huggingface.co/datasets/ronantakizawa/trending-stocks-yahoo-finance).

## Overview

Ranked dataset of the most trending stocks on Yahoo Finance from July 2024 to
October 2025 (16 months), based on weighted scoring of their monthly trending
appearances. Sourced from Wayback Machine snapshots of Yahoo Finance Trending
Stocks, at monthly granularity. Multiple intra-day snapshots per stock are
collapsed to the latest snapshot per day.

## Schema (TsFile structure)

- **Time** (INT64, milliseconds) — the snapshot date.
- **symbol** (TAG) — the stock ticker (device dimension).
- **price** / **change** / **change_pct** (FIELD, FLOAT).
- **volume** / **avg_volume_3m** (FIELD, FLOAT).
- **market_cap** / **pe_ratio** (FIELD, FLOAT).
- **rank** (FIELD, INT64) — the monthly rank.

## Usage

Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:

```python
from pathlib import Path
from tsfile import TsFileReader

path = Path("trending_stocks_yahoo_finance.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())
```

## Source & license

- Original dataset: https://huggingface.co/datasets/ronantakizawa/trending-stocks-yahoo-finance
- Author / publisher: ronantakizawa
- License: MIT