A quantitative intelligence layer applied to buy timing.
Every alert is the result of a systematic process — never a gut feeling. Our engine monitors each asset across multiple timeframes, running a battery of independent checks that cover price action, volume, trend indicators, volatility, and on-chain/derivatives data.
From data to signal in three steps.
An alert is only generated when there is sufficient indicator confluence — a principle that dramatically reduces false signals.
Continuous monitoring
Assets analyzed 24/7 across 1H and 4H timeframes by a quantitative engine running 16 independent checks.
Confluence detection
An alert is only generated when enough checks pass simultaneously — multiple dimensions of the market must align.
Instant delivery
Alerts sent in real time to the premium Telegram channel and the web dashboard with full transparency.
16 analysis variables, 6 categories.
Each variable is evaluated independently. The engine doesn't rely on any single indicator — it requires multiple dimensions of the market to align before generating a signal.
Price Action
3 checksTrendline & Resistance (4H)
Analyzes recent candles on the 4-hour chart to determine trend direction using linear regression and identify key resistance levels through a weighted analysis of recent highs. The check passes when the trend is bullish AND the price is approaching resistance — a setup that often precedes a breakout.
Strong Bullish Candle (1H)
Examines the last completed 1-hour candle for signs of strong buying conviction. The engine evaluates body-to-range ratio and upper wick size to determine if buyers dominated the hour. A large body with a small upper wick indicates strong demand with minimal rejection at the top.
Close Above Resistance (1H)
Compares the 1-hour close against the resistance level calculated in the 4H analysis. A close above resistance confirms the breakout — it's not just a temporary spike, but a sustained move. When resistance is broken and held, it often becomes support, providing a safety zone below the entry.
Volume
2 checksVolume Spike (1H)
Compares the current 1-hour volume against the recent multi-day average. Each asset has its own calibrated multiplier that accounts for its liquidity profile — more liquid assets require a smaller relative spike, while more volatile ones need a larger deviation to be considered significant. High volume confirms real institutional interest behind the move.
Breakout + Volume
A combined check: the candle must be green (close > open) AND have a volume spike. Volume without direction is meaningless — this check ensures that the high volume is aligned with a bullish candle, confirming that buyers are driving the move with conviction. This is one of the most reliable signals for sustained upward momentum.
Trend & Momentum
3 checksRSI Aligned (1H & 4H)
The Relative Strength Index must be above a calibrated minimum threshold AND actively rising on both the 1-hour and 4-hour timeframes simultaneously. It's not enough for RSI to sit above a level — it must be increasing, confirming accelerating momentum across both short and medium timeframes. Each asset has its own minimum based on historical optimization.
MACD Bullish Crossover (1H)
Detects the exact moment when the MACD histogram crosses from negative (or zero) to positive on the 1-hour chart. This indicates that the short-term moving average has just crossed above the longer-term one — a classic momentum shift signal. The engine looks for fresh crossovers only, not situations where MACD has been positive for a while.
ADX Trend Strength (1H & 4H)
The Average Directional Index measures trend strength regardless of direction. When ADX is low, the market is ranging with no clear trend — breakouts in ranging markets frequently fail. The engine requires ADX above a per-asset minimum on both the 1H and 4H timeframes, confirming that a real trend is in play before generating a signal.
Volatility
2 checksATR Stop-Loss Viability (1H & 4H)
The Average True Range measures volatility — how much the price moves on average per candle. The engine calculates ATR as a percentage of the current price on both 1H and 4H timeframes. If volatility is too high, a reasonable stop-loss would be too wide, making the risk/reward ratio unfavorable. Each asset has its own volatility ceiling calibrated to its historical behavior.
Bollinger Band Squeeze (1H)
Measures the Bollinger Band bandwidth (distance between upper and lower bands relative to the middle band) to detect periods of extreme compression. When bandwidth drops below a per-asset threshold, the market is coiling — historically, these low-volatility squeezes precede sharp directional expansions. The engine identifies the squeeze and waits for the breakout direction to align with the other bullish checks before triggering.
Market Structure
3 checksEMA Cloud Alignment (1H & 4H)
Evaluates whether short, medium, and long-term Exponential Moving Averages (EMA 9, 21, 50) are stacked in bullish order on both timeframes. When EMA9 > EMA21 > EMA50, the market structure confirms sustained upward momentum across multiple horizons. A misaligned or tangled EMA stack indicates indecision — the engine filters these out to avoid false breakouts in choppy conditions.
Fibonacci Retracement Confluence
Identifies key Fibonacci levels (38.2%, 50%, 61.8%) from the most recent significant swing low to swing high. When the current price sits at a confluence zone — where multiple Fibonacci levels from different swing measurements overlap — it indicates a high-probability support area. The engine uses this as a contextual filter, favoring entries near confluence zones where risk/reward is most favorable.
VWAP Reclaim (1H)
The Volume Weighted Average Price represents the 'fair value' of the session as perceived by institutional traders. The engine checks whether the price has reclaimed and is holding above the session VWAP. A sustained move above VWAP indicates that buyers accept the current price level as fair or cheap — a bullish structural signal that distinguishes genuine demand from temporary spikes.
On-Chain & Derivatives
3 checksOpen Interest Expansion
Tracks hourly changes in Open Interest (total open futures contracts) and calculates the statistical significance of the latest change using standard deviations. The current OI change must exceed a per-asset threshold to be considered meaningful. A significant OI increase alongside rising prices indicates that new money is entering the market in the direction of the trend — not just existing positions being shuffled.
Funding Rate Equilibrium
Sums recent Funding Rate values representing accumulated cost over multiple hours. The rate must be positive (longs paying shorts, which is normal in an uptrend) BUT not excessive. Each asset has a calibrated ceiling. When funding is too high, the market is 'crowded long' and vulnerable to a squeeze. The engine seeks the sweet spot: bullish sentiment without overcrowding.
Fear & Greed Index
The Crypto Fear & Greed Index aggregates market sentiment from multiple sources including volatility, momentum, social media, dominance, and trends. The engine uses this as a contextual filter — extreme greed (above 80) suggests the market may be overheated and vulnerable to corrections, while extreme fear (below 20) may indicate capitulation. The model seeks entries when sentiment supports the technical setup without signaling dangerous euphoria.
Individually tuned per asset.
What constitutes a volume spike for BTC is very different from SUI. Parameters like volume multipliers, ATR ceilings, RSI/ADX minimums, and funding rate limits are optimized per asset through machine learning on historical data.
Bitcoin
72h hold
Ethereum
48h hold
Solana
48h hold
Avalanche
48h hold
Sui
48h hold
The exact parameter values are proprietary and continuously refined as new data becomes available. The engine adapts to each coin's unique personality — its liquidity, volatility patterns, and market microstructure.
Multi-timeframe analysis.
The engine operates on two timeframes simultaneously. By requiring confirmation across both, false signals are dramatically reduced.
4-Hour (4H) — Big Picture
Provides the medium-term view. Identifies the overall trend direction, key resistance levels, and confirms that a real trend is in play (ADX). This is the "big picture" lens.
1-Hour (1H) — Trigger
Provides precise entry timing. Confirms that momentum is present NOW — strong candles, volume spikes, RSI acceleration, MACD crossovers. This is the "trigger" lens.
A setup that looks good on 1H but contradicts the 4H trend is filtered out.
Backtesting & optimization.
Jan 2024
Data since
72h / 48h
Optimal hold times
5 assets
Individually calibrated
The strategy has been rigorously backtested on hourly data from January 2024 to present, covering multiple market phases including bearish corrections, sideways consolidation, and bullish rallies.
Through machine learning-driven optimization, the engine identified parameter combinations and check patterns that consistently produce positive expected value across different market conditions — not just trending markets. The model is specifically designed to adapt: it performs in bearish environments by being more selective (fewer signals, higher conviction) and in bullish environments by capturing more opportunities while maintaining risk discipline.
Each asset's thresholds were individually calibrated through this optimization process, resulting in parameter sets that respect each coin's unique volatility profile and liquidity characteristics.
The optimization also determined optimal hold times for each asset. BTC uses a 72-hour hold period, while all other assets (ETH, SOL, AVAX, SUI) use a 48-hour hold period. These durations were found to maximize the capture of the move while minimizing exposure to reversal risk.
Important: No quantitative system eliminates risk. Markets are inherently unpredictable, and past performance does not guarantee future results. This engine is a decision-support tool designed to replace improvisation with systematic process and provide statistical context for entry decisions. The user is fully responsible for their own trading decisions and risk management.