Signal 01 · Market Data
Volatility
A daily security-level measure of dispersion in securities lending rates. High Volatility identifies unstable borrow conditions — a precursor to elevated drawdown risk and forward return underperformance.
Definition
Dispersion in lending rates as a leading indicator.
Every business day, multiple counterparties quote rates to borrow the same security. When their quoted rates agree, the lending market is settled and the security’s risk profile is consensus. When they disagree — when dispersion widens — it means some lenders are pricing in risk that others have not yet seen.
Tidal Markets’ Volatility signal quantifies that dispersion at the security level. It is a leading indicator: the rate disagreement appears before the broader market reprices the security, and the signal flags instability days to weeks before it shows up in price action.
Classified as dual-purpose: Volatility is both a risk management signal (elevated VOL precedes elevated drawdown) and an alpha signal (elevated VOL precedes negative forward returns at the 5- to 21-day horizon).
Live Market Snapshot
All U.S. Equities Volatility — 60 Trading Days
Market-capitalization-weighted Volatility across the full U.S. equity universe. Updated daily from the underlying transaction data.
The Research Evidence
Three views into the signal.
Quintile structure, regime decomposition, and signal consistency — three independent views demonstrating that the Volatility signal is not an artifact of any single market regime or any single statistical method.
Monotone Quintile Structure
Each trading day, securities are ranked into five equal bins by Volatility. The bottom quintile (Q1, low VOL) earns +1.33% over the next 21 trading days. The top quintile (Q5, high VOL) earns +0.15% — essentially zero.
The pattern is monotone: each step from Q1 to Q5 lowers expected forward return. This is the structural pattern a quant looks for to confirm a signal is directional, not noisy.
Strengthens Post-2022
The Q5−Q1 maximum drawdown spread tripled between the pre-2022 and post-2022 sub-periods, from −0.74% to −2.39%.
In a rate-normalized environment, securities lending rates carry more information about equity outcomes than they did during the near-zero rate era. The signal is not curve-fit to a single regime — it is improving.
Consistent Across Time
86.9% of rolling 63-trading-day windows show |IC| ≥ 0.02 for Volatility at the 21-day horizon. The signal is directional in 95% of trailing quarters — it does not flip sign with the market.
For a quant, this is the dispositive evidence: the signal is not a single-period anomaly. It is a structural feature of the lending market.
All findings derive from daily cross-sectional Spearman rank correlation between the Volatility signal and forward returns at 1, 5, 10, and 21-day horizons, plus 10-day maximum drawdown. Returns are winsorized at daily p1/p99 to suppress penny-stock contamination. Event-study excess returns use Welch two-sample t-tests on HIGH (top-quintile) vs. baseline daily mean returns. Sub-period analysis (pre-2022 vs post-2022) is pre-specified, not data-mined. Full methodology and replication-grade evidence tables available on request.
Where the Signal Works
Validated across every institutional cap tier.
The Volatility signal works in every institutional cap segment. There is no tier where the signal flips sign or fails statistical significance — a clean profile rarely seen in equity factor research.
Use Cases
Three institutional applications.
How Tidal clients use the Volatility signal in production.
For
Risk Teams
Integrate VolatilityRaw as a daily security-level risk factor. High-VOL names warrant elevated position limits, tighter stop-loss thresholds, and elevated monitoring frequency. The signal is strongest at 5–21 day horizons and complements traditional volatility-of-price risk measures with an independent dimension.
For
Portfolio Managers
Use high-VOL flags to identify securities where the lending market has begun pricing in stress that equity prices have not yet reflected. Most actionable in 1- to 3-week holding windows for both short-side conviction and long-side position management.
For
Quant Teams
VolatilityRaw outperforms all normalized and z-score variants in Tidal's testing. Use the raw signal, rank cross-sectionally daily, and apply as an independent factor in alpha or risk models. Spearman r ≈ −0.17 vs Short Interest — uncorrelated to short-position factors.
Securities Lending Volatility Indicators
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Market Capitalization
MAANG Stocks
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The Data File
What clients receive.
Daily pipe-delimited files, delivered to AWS S3 with per-client credentials.
File Tiers
Three Aggregation Levels
Volatility is published in three companion files:
Security — per-ticker daily values across 8,000+ U.S. equities.
Sector — aggregated to 11 equity sectors.
Industry — aggregated to 140+ industry classifications.
Signal Fields
What's in the File
VolatilityRaw — primary commercial signal.
VolatilityNorm — normalized variant.
Rolling z-scores — 7d, 14d, 30d, 60d, 90d windows.
Plus standard identifiers and reporting timestamps.
Delivery
Cadence & History
Frequency — daily, end-of-day.
Delivery — 7:45 AM EST each trading day.
History — 2018 to present.
Transport — AWS S3 via per-client credentials.
Format — pipe-delimited .TXT.
Evaluate the Volatility signal.
Request methodology documentation, sample data files, and a research walkthrough.
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