Coverage

Crypto asset coverage

Full transparency on what we track, what we trade, and what we've excluded. This list is reviewed periodically and may be updated as new assets qualify or existing ones underperform.

How assets are selected

We monitor 66 crypto futures assets on the daily timeframe. Assets are included based on sufficient trading history, liquidity, and availability on Binance Futures. Assets are blacklisted when their historical win rate falls below the breakeven threshold given their reward-to-risk ratio. Blacklisted assets still generate signals but are automatically filtered out before publication.

Active assets 59

Signals are generated and scored for these assets. All are traded on Binance Futures (USDT perpetuals).
AAVEBinance
ADABinance
AEROBinance
ALGOBinance
ARBBinance
ARBinance
ASTERBinance
ATOMBinance
AVAXBinance
BNBBinance
BONKBinance
BTCBinance
CRVBybit
DASHBinance
DOGEBinance
DOTBinance
ENABinance
ENJBinance
ENSBinance
ETHBinance
FARTCOINBinance
FILBinance
FLOKIBinance
GALABinance
GMTKuCoin
GRTBinance
HBARBinance
ICPBinance
INJBinance
KASBinance
LINKBinance
LTCBinance
MANABinance
NEARBinance
ONEBinance
OPBinance
PENDLEMEXC
PENGUBinance
PEPEBinance
PUMPBinance
ROSEBinance
RUNEBinance
SANDBinance
SHIBBinance
SOLBinance
SUIBinance
SUSHIBybit
TAOBinance
THETABinance
TRXBinance
TURBOBinance
UNIBinance
VETBinance
VIRTUALBinance
XMRBinance
XRPBinance
ZECBinance
ZROBinance
POLBybit

Blacklisted assets 7

These assets are monitored but excluded from signal publication. Signals are still generated for data tracking, but they are filtered out before reaching subscribers. Most blacklisted assets simply don't have enough trading history for the strategy to build a reliable statistical edge. The scoring engine needs a meaningful sample of trades to calibrate properly — newer or low-volume assets haven't accumulated enough data yet. As more history builds, they may qualify in the future. Others have sufficient data but their win rate falls below the breakeven threshold.
Asset Win Rate R:R Ratio Required WR Reason
HYPE 25.0% 1.25 44.5% Insufficient trade history — only a handful of signals, not enough data for the engine to calibrate reliably
LDO 31.5% 1.43 41.1% Win rate below breakeven threshold — limited trade history makes it hard for the engine to separate signal from noise
POL 30.4% 1.89 34.6% Win rate marginally below breakeven — may qualify as more trade history accumulates
RIVER 0.0% 0.00 Too new — only 3 historical trades, far too few for statistical significance. Will be re-evaluated as data builds
SOMI 30.0% 0.36 73.3% Insufficient history and poor reward-to-risk profile — needs significantly more data to be viable
WLFI 40.0% 1.20 45.5% Very new asset — limited trade history prevents reliable scoring. Will re-assess as more signals are generated
ZK 41.7% 1.04 49.1% Borderline — close to breakeven threshold but not enough margin of safety yet. On the watchlist for re-inclusion

Global filters

In addition to asset-level blacklisting, the following filters apply to all signals regardless of asset.

Sunday Filter

Signals generated on Sundays are automatically skipped. Historical analysis shows a 22% win rate on Sunday signals — well below profitability.

BTC Market Health

The engine monitors BTC's overall market health using risk-adjusted return metrics. In deep bear markets, Long signals are skipped. This may seem counterintuitive — many traders expect bear markets to be the best time to go long. However, our data shows that during sustained bear conditions, even "good" technical setups fail at a much higher rate. The correlation between individual altcoins and BTC intensifies during crashes, and buying the dip too early destroys capital. The engine waits for conditions to stabilize before re-enabling Longs. During euphoric rallies, Short signals are skipped — momentum crushes counter-trend trades when markets are running hot.

Regime-Adaptive Thresholds

Different scoring thresholds apply in bull vs. bear regimes. Bear markets require higher conviction for Long entries but lower thresholds for Shorts, and vice versa.

Disclaimer: Asset coverage and blacklist status may change as new data becomes available. Past performance of individual assets is not indicative of future results. Veridian Research provides market research for educational purposes only.