# SparkTrade.io — Vendor Intelligence Profile
> Source: Vedex (https://vedex.ai) | Generated: 2026-10-05T08:37:18.280Z

## Overview

- **Description**: Daily long-short scores engineered for calm-water markets.
Daily 0-100 prediction ranks on
2 000+
U.S. equities. Model is trained exclusively on regimes where the Cboe VIX closes
below 25
to exploit gentle, trend-friendly tapes. Orthogonal to Fama–French factors (R² ≈ 0.12).
Detailed Description
SparkTrade Low-Vol Equity Signals
is an AI-driven data feed that identifies the stocks most likely to drift upward (long) or downward (short) during relatively
low-volatility market environments
—those tranquil stretches between macro shocks when trends tend to persist and mean-reversion opportunities abound.
Where our High-Vol sleeve hunts for sharp tail moves, this product specializes in
orderly markets dominated by fundamentals, steady sentiment, and incremental rotation.
It therefore functions as a
core alpha layer
that can sit quietly inside quantitative or discretionary books without spiking portfolio VaR.
What makes it different
Regime-Specific Training
– The model ingests only history slices with VIX < 25, allowing it to learn price behaviors, factor sensitivities, and liquidity patterns that dominate in “boring” markets rather than crisis tapes.
Multi-Factor Ensemble
– Gradient-boosted trees (XGBoost-style) and random-forest learners trained separately for each regime (Low-Vol, High-Vol). Inputs span 20 yrs of price/volume, point-in-time fundamentals, micro-structure metrics, options skew, ETF flow, and sentiment. No RNNs or black-box sequence models; everything stays in a transparent, supervised-learning stack.
Orthogonality
– Weighted-least-squares regression versus the Fama-French 3-factor model shows
adjusted R² ≈ 0.12
, meaning
88 %
of this sleeve’s variance is unexplained by classic market, size, or value betas. For allocators, that translates to
true diversification
instead of re-packaged “smart beta.”
Coverage & History
Universe
2 000 U.S. equities with ≥ $300 M float-adjusted cap and persistent liquidity.
Historical depth
Jan-1999 → present
(T-1 close).
Delivery cadence
Secure-Share file publishes in Snowflake
by 20:00 ET every trading day
(≈ 4 hours after the closing bell).
Data Dictionary
NAME	TYPE	DESCRIPTION
DATE	DATE	Date of prediction
TICKER	STRING	Stock ticker symbol (e.g., AAPL)
LONG_INDEX_SCORE	INTEGER	0–100 scaled score (higher = stronger long)
SHORT_INDEX_SCORE	INTEGER	0–100 scaled score (higher = stronger short)
LONG_RAW_SCORE	FLOAT	0 to 1.0 unscaled signal before index conversion
SHORT_RAW_SCORE	FLOAT	0 to 1.0 unscaled signal before index conversion
VOLATILITY_REGIME	STRING	"low", "high", or "auto" – or for ETF model "all weather"
MODEL_NAME	STRING	Source model name (e.g., "Low Vol", "AutoSwitch")
MODEL_VERSION	STRING	Version or release ID (for audit/debug)
Update Frequency
Trading days, file posted
by 20:00 ET
- **Domain**: sparktrade.io
- **Contact Email**: daniel@sparktrade.io
- **Company Website**: https://sparktrade.io

## Categories & Sectors

- **Categories**: Financial, Market Analysis, Quantitative Analysis

## Marketplace Presence

- **Source Platforms**: snowflake_marketplace
- **Platform Count**: 1

## Intelligence Scores

- **Vendor Score**: 18.8
- **Market Presence**: 14.9
- **Integration**: 20
- **Business Maturity**: 3.2

## Links

- Vedex Profile: https://vedex.ai/vendor/sparktrade-io-a35ac9
- Due Diligence: https://vedex.ai/due-diligence/sparktrade-io-a35ac9