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Cross-asset quantitative research

Correlations measured.
Not promised.
Delivered daily.

TigerData continuously scans 9 cross-asset correlations (indices, rates, volatility, crypto) scored on real backtests, and sends you every morning the ones that crossed their movement threshold — with the method, sample size and reliability track record for each.

Active correlations — today 60D BACKTEST
NQ → BTC+0.62%up expected64% hist.
ETH → VIX+1.47%down expected61% hist.
VIX → SOL-5.97%up expected64% hist.
SP500 → BTC+0.41%up expected55% hist.
Representative example — the daily digest contains the correlations actually active that day, computed at send time.
Primary product

Cross-Asset Signals Subscription

One email a day. Active correlations, expected direction, historical reliability. Cancel anytime.

One-time purchase

Complete Framework

The source code of the 50 bots (11,600+ lines) that power the correlation engine, plus the backtester. For those who want to audit or extend the method themselves.

249
  • 50 Python bots, documented modular architecture
  • Backtest engine included (realistic transaction costs)
  • Lifetime updates, priority support within 24h
  • Refunded within 30 days if the code isn't right for you
See details →
Full transparency

The method, as it actually runs

Every correlation comes from a backtest on real prices (Yahoo Finance), 60-day window, June 2026. Only those above 51% historical accuracy and a 0.28 score are kept. None is presented as a guarantee.

PairTierScore60d accuracyAmplitudeLag
NQ → BTCA0.4464%1.65×D+1
BTC → VIXA0.4253%3.58×D+3
ETH → VIXA0.3861%2.65×D+0
NQ → ETHA0.3856%2.25×D+0
NQ → SOLA0.3556%2.45×D+0
SP500 → BTCB0.3555%2.67×D+0
VIX → ETHB0.3462%0.38×D+0
VIX → SOLB0.3064%0.41×D+0
GOLD → BTCB0.2844%0.48×D+3

Score = historical correlation strength (0-1) · Accuracy = % of times the expected direction held over 60 days · Amplitude = expected move ratio on the lagging asset. Short sample — to be verified over time, not a guarantee of future performance.

Point of comparison: a random guess (coin flip on direction) would average 50%. Our 9 correlations range from 44% to 64% on this sample — above chance for most, but not by a margin that justifies betting heavily on any single one.

One-time purchase — €249

The code behind the engine

The correlation engine is just one part of the framework. 50 bots in total: market making, pairs trading, arbitrage, mean-reversion, momentum, risk parity, a backtest engine.

FileRoleLines
backtester_v2.pyBacktest engine641
cross_asset_correlations.pyCorrelation engine (this site)508
signal_engine_v2.pySignal generation477
market_making_bot.pyMarket making
pairs_trading_bot.pyPairs trading
+ 45 more botsRisk parity, momentum, arbitrage, regime detection...
Buy the framework — €249 →
Before you buy anything

Real datasets — 10 days, no credit card

Not a trial of the signals product — an independent sample to judge the method's rigor: 3 real datasets (flu, weather, ER visits, France), with a README detailing sources and limits.

SourcesSentinelles/INSERM · Open-Meteo · DREES
FormatParquet · 258–1,384 rows · 2000–2026
Credit cardNone
CommitmentZero

Frequently asked questions

What exactly is in the daily digest?+
An email listing the correlations that crossed their movement threshold that day (out of the 9 tracked), with expected direction, confidence level, and 60-day historical accuracy. If no correlation is active, the digest says so explicitly rather than inventing a signal.
Can I cancel anytime?+
Yes, no minimum term. Cancellation stops the digest as of the next billing cycle.
Are the accuracy figures (64%, 61%...) guaranteed?+
No. These are historical hit rates on a 60-day backtest (real prices, Yahoo Finance) — a short sample. For comparison, a random guess would average 50%: our correlations range from 44% to 64%, so above chance for most but not all, and never by a margin that guarantees a profit. Nothing guarantees these numbers hold up. The methodology table above gives the score and sample size for each correlation so you can judge for yourself.
Difference between the signals subscription and the €249 framework?+
The subscription (€49/month) delivers signals already computed, ready to read. The framework (€249, one-time) gives you the full source code — useful if you want to audit the method, modify it, or integrate it into your own system.
Does this replace a financial advisor?+
No. TigerData provides quantitative research for technical and educational purposes, not investment advice. Trading carries risk of capital loss.
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