The methodology
The logic behind the signal.
Market context, momentum and timing come together in a proprietary quantitative model built to identify crypto trading opportunities.
- 10
- Crypto assets
- 4H · 1H · 5min
- Multiple timeframes
- Per-asset
- Model calibration
From context to signal
Multiple timeframes- 4H
Read the context
The broader market picture
- 1H
Explore the setup
Price behavior and momentum
- 5min
Zoom into the move
A closer view of short-term price action
Omen quantitative model
Market context meets proprietary analysis.
The evidence
A process you can understand. Results you can inspect.
Explore historical performance by asset, follow the capital curves and inspect individual trades in the backtest.
- Trade-by-trade history
- Fees & slippage included
- TP 2% and 3% scenarios
Inside the model
16 checks. One clear signal.
Six perspectives inform the model’s reading of the market. A qualifying pattern becomes a signal.
01 3 checks
Price action
Trendline & resistance · Strong bullish candle · Close above resistance
02 2 checks
Volume
Volume spike · Breakout + volume
03 3 checks
Trend & momentum
RSI aligned · MACD crossover · ADX trend strength
04 2 checks
Volatility
ATR stop-loss viability · Bollinger squeeze
05 3 checks
Market structure
EMA cloud · Fibonacci confluence · VWAP reclaim
06 3 checks
On-chain & derivatives
Open interest · Funding rate · Fear & Greed
Illustrative sequence. Parameter values and signal-selection rules remain proprietary.
Inside the model
16 checks.
One clear signal.
Follow a sample reading through the model.
This conceptual journey uses illustrative charts and sample readings. It does not show live data or disclose model parameters. Six categories contain sixteen checks. Use the numbered chapter buttons or skip to the complete check descriptions.
Reading the market
16 checks. 6 categories.
Explore the checks introduced on our home page. Each adds a different perspective; their calibration and decision rules remain proprietary.
Price action3 checksReads the way price moves, pauses and responds to market interest.
Trendline & resistance
Market direction and areas where price has encountered selling pressure.
Strong bullish candle
Candle behavior that offers context about buying pressure.
Close above resistance
How price behaves around a previously established resistance area.
Volume2 checksAdds context about the trading activity behind a price move.
Volume spike
Changes in trading activity relative to an asset’s usual participation.
Breakout + volume
The relationship between a price move and the activity accompanying it.
Trend & momentum3 checksLooks at market direction and how a move is developing.
RSI aligned
Momentum viewed across different timeframes.
MACD crossover
Shifts in momentum as a potential move develops.
ADX trend strength
The strength of directional movement in the market.
Volatility2 checksConsiders how widely and quickly prices are moving.
ATR stop-loss viability
The scale of price swings as context for risk planning.
Bollinger squeeze
Periods of volatility compression and changing market activity.
Market structure3 checksPlaces recent movement within the broader shape of the market.
EMA cloud
The relationship between price and its broader trend structure.
Fibonacci confluence
Areas of overlapping retracement context within a price move.
VWAP reclaim
Price behavior around a reference that accounts for trading volume.
On-chain & derivatives3 checksAdds context from market mood and derivatives positioning.
Open interest
Changes in participation in derivatives markets.
Funding rate
The cost of holding perpetual positions and its sentiment context.
Fear & Greed
Market mood as an additional perspective on the trading environment.
Built around each market
Different assets.
Individual calibration.
Bitcoin and smaller markets behave differently. Our approach accounts for each asset’s liquidity, volatility and historical behavior, with calibration specific to that market.
BTC
Bitcoin
ETH
Ethereum
SOL
Solana
AVAX
Avalanche
SUI
Sui
XRP
XRP
DOGE
Dogecoin
HYPE
Hyperliquid
LINK
Chainlink
TAO
Bittensor
The framework is explained here at a high level. Parameter values, calibration methods and signal-selection rules are proprietary.
From analysis to your workflow
The research behind it.
The signal in front of you.
Follow model signals in your dashboard and Telegram, with the market context to support your own decisions.
Context alongside each signal
Review the asset and the model’s analysis in your dashboard.
Your decisions, your risk parameters
Use the signal as an input to your trading process.
Omen is a decision-support tool. Backtests are historical simulations, and past performance does not guarantee future results. Trading involves risk; position sizing and trade execution remain your responsibility.