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V15 Research Tool • Real 2024 Data

Stock Movement Scanner

Find Dramatic Price Movements in Seconds

Scan 7,700+ stocks × 10 years of data for drops, spikes, and recovery patterns

7,704
US Stocks
15M
Price Records
2015-2025
10 Years Data
<5s
Query Time

What Can You Find?

📉

Sudden Drops

Stocks that plummeted >15% in a single day. Find sell-offs, bad news reactions, or market panics.

Example: FVTI dropped 85% on Oct 11, 2024
📈

Sudden Spikes

Stocks that surged >15% in one day. Acquisitions, FDA approvals, breakthrough products.

Example: EFSH spiked 199% on Oct 18, 2024
🔄

Quick Recoveries

Stocks that dropped hard but bounced back fast. Oversold reversals, market over-reactions.

Example: TWOU recovered 75% in just 2 days

Real 2024 Movement Examples

Found by scanning 7,700 stocks in under 5 seconds

FVTI - Dramatic Crash

October 11, 2024

-85.21%
Day Before
$13.35
After Crash
$1.98
Volume
132K

EFSH - Massive Surge

October 18, 2024

+198.76%
Day Before
$26.41
After Spike
$78.90
Volume
26.7M

MGNX - Quick Recovery

May 10-16, 2024

4 Day Recovery
Original
$14.67
Dropped To
$3.31
Recovered To
$5.12
Gain
+54.7%

📉 Top 5 Drops (2024)

Ticker Date Change

📈 Top 5 Spikes (2024)

Ticker Date Change

🔄 Quick Recovery Patterns (2024)

Ticker Drop Date Drop % Recovery Date Recovery % Days

What Can You Do With This?

🔍 Test Prediction Models

Find historical cases to validate your models. Did your ML model predict FVTI's drop? Test against real movements.

📊 Validate SEC Events

Did SEC filings predict these moves? Correlate drops with defaults, spikes with M&A deals. Validate event detection.

🎯 Build Training Data

Generate labeled datasets for ML. Find drops → label as "high risk". Find recoveries → label as "oversold reversals".

🚀 Equity Product Feature

Turn this into a daily alert system. "NVDA up 20% today - here are similar historical cases and what happened next."

How It Works

1

Query Stock Database

Fast SQL queries on 15M daily price records (stock_cache.db). Self-joins to calculate day-over-day changes.

2

Apply Filters

Filter by movement type (drops/spikes), threshold (>15%), price range ($1+), and volume (>10K). Eliminate noise.

3

Rank Results

Sort by magnitude. FVTI's 85% drop ranks #1. EFSH's 199% spike ranks #1. Get the most dramatic cases first.

4

Fetch Context

Get 30 days before/after for detailed analysis. See the buildup and aftermath of each movement.

<5s
Query Speed
100%
Real Data
10 yrs
Historical Coverage

Experimental Research Tool

V15 Stock Movement Scanner - Finding dramatic price movements in seconds to validate models and discover patterns.