---
license: mit
task_categories:
- text-classification
- time-series-forecasting
- tabular-regression
tags:
- finance
- stocks
- trending
- yahoo-finance
- market-data
- time-series
language:
- en
size_categories:
- 1K<n<10K
configs:
- config_name: yearly
  data_files: "yearly/data.csv"
  default: true
- config_name: full
  data_files: "full/data.csv"
---

# Monthly Trending Stocks Dataset

A ranked dataset of the most trending stocks on Yahoo Finance from July 2024 to October 2025, based on weighted scoring of their monthly trending appearances in Yahoo Finance.

## 📊 Dataset Overview

- **Total Entries**: 7,993 ranked stocks
- **Time Period**: July 2024 - October 2025 (16 months)
- **Source**: Wayback Machine snapshots of Yahoo Finance Trending Stocks
- **Data Granularity**: Monthly rankings
- **Data Order**: Sorted by month (descending: Oct 2025 → July 2024) and rank within each month

## 🔧 Dataset Configurations

This dataset has **two configurations** defined in the YAML header:

### Configuration: `yearly` (Default)
Top-ranked stocks by year with aggregated statistics

```python
from datasets import load_dataset
ds = load_dataset('ronantakizawa/trending-stocks-yahoo-finance', 'yearly')
```

**Columns:**
- `year` (int): Year (2024-2025)
- `rank` (int): Overall rank for that year (1 = highest score)
- `symbol` (string): Stock ticker symbol
- `name` (string): Company name
- `times_trended` (int): Number of days appeared on trending
- `best_rank` (int): Highest rank achieved (lowest number)
- `avg_rank` (float): Average rank across all appearances
- `median_rank` (int): Median rank
- `max_price` (float): Maximum stock price during the year
- `max_market_cap` (float): Maximum market capitalization
- `max_volume` (float): Maximum trading volume

### Configuration: `full`
Complete daily trending data with detailed market metrics

```python
from datasets import load_dataset
ds = load_dataset('ronantakizawa/trending-stocks-yahoo-finance', 'full')
```

**Columns:**
- `symbol` (string): Stock ticker symbol
- `name` (string): Company name
- `price` (float): Stock price at snapshot
- `change` (float): Price change
- `change_pct` (float): Percentage change
- `volume` (float): Trading volume
- `avg_volume_3m` (float): 3-month average volume
- `market_cap` (float): Market capitalization
- `pe_ratio` (float): Price-to-earnings ratio
- `rank` (int): Position in trending (1-25)
- `date` (string): Snapshot date (YYYY-MM-DD)

## 🏆 Scoring Methodology

Each stock's monthly score is calculated using:

```
Score = Σ (26 - rank) for each trending appearance

Where:
- Rank 1 = 25 points
- Rank 2 = 24 points
- ...
- Rank 25 = 1 point
```

**Why this works:**
- ✅ Rewards **frequent appearances** (more days trending = more points)
- ✅ Rewards **high rankings** (rank 1 is worth more than rank 25)
- ✅ Balances viral stocks with consistently popular stocks


## 🌟 Key Insights

### 1. All-Time Top 10 (July 2024 - October 2025)

| Rank | Symbol | Company | Total Score | Total Appearances |
|------|--------|---------|-------------|-------------------|
| 1 | **NVDA** | NVIDIA Corporation | 5,520 | 283 |
| 2 | **TSLA** | Tesla, Inc. | 5,174 | 258 |
| 3 | **SMCI** | Super Micro Computer | 4,131 | 225 |
| 4 | **PLTR** | Palantir Technologies | 3,800 | 198 |
| 5 | **MSTR** | MicroStrategy | 3,557 | 202 |
| 6 | **AMD** | Advanced Micro Devices | 2,740 | 167 |
| 7 | **SOUN** | SoundHound AI | 2,553 | 149 |
| 8 | **ACHR** | Archer Aviation | 2,261 | 151 |
| 9 | **RGTI** | Rigetti Computing | 2,235 | 142 |
| 10 | **NFLX** | Netflix | 2,189 | 136 |

### 2. Monthly Champions

| Month | Winner | Score | Appearances | Theme |
|-------|--------|-------|-------------|-------|
| **Oct 2025** | AMD | 283 | 13 | Semiconductor Rally |
| **Sep 2025** | OPEN | 458 | 21 | Real Estate Tech |
| **Aug 2025** | NVDA | 480 | 26 | AI Dominance |
| **Jul 2025** | BA | 187 | 12 | Aerospace Recovery |
| **Jun 2025** | CRCL | 232 | 16 | Crypto IPO Hype |
| **May 2025** | NVDA | 270 | 14 | GPU Demand |
| **Apr 2025** | TSLA | 387 | 17 | EV Competition |
| **Mar 2025** | NVDA | 328 | 18 | AI Infrastructure |
| **Feb 2025** | SMCI | 768 | 42 | Server Mania |
| **Jan 2025** | NVDA | 568 | 26 | New Year AI Rally |
| **Dec 2024** | TSLA | 679 | 32 | Year-End Surge |
| **Nov 2024** | NVDA | 2,118 | 105 | Post-Election AI Boom |

### 3. Sectoral Trends

**AI & Semiconductor Dominance (Persistent)**
- NVDA dominated 5 months (Nov 2024, Jan, Mar, May, Aug 2025)
- AMD, SMCI consistently in top 5
- Combined 12,391 total score across top 3 chip stocks

**Quantum Computing Emergence (2024 Q4 - 2025)**
- RGTI: 2,235 total score (142 appearances)
- QBTS (D-Wave): Strong December 2024
- IONQ: Consistent appearances
- Reflects retail interest in quantum tech

**Crypto Proxy Stocks**
- MSTR: 3,557 score (202 appearances)
- Tracks Bitcoin sentiment
- Peak in Nov 2024 post-election

**Meme Stock Resurgence**
- GME: Strong in Dec 2024 (423 score)
- DJT (Trump Media): Sep-Oct 2024 peak (691 combined)
- Volatility-driven retail interest

**EV & Autonomous**
- TSLA: #2 all-time (5,174 score)
- ACHR (Archer Aviation): 2,261 score
- NIO: Periodic spikes

### 4. Notable Patterns

**NVDA's Dominance:**
- Appeared 283 times (nearly every trading day)
- Won 5 out of 16 months
- November 2024: 2,118 score (105 appearances) - highest monthly score ever

**February 2025 SMCI Explosion:**
- 768 score (42 appearances in 1 month)
- Reflects AI server infrastructure hype
- Average rank: 7.14 (very high quality)