Advanced AI Technology Meets Proven Trading Strategy
A practical blend of machine learning, momentum analysis, and risk management—non-custodial and built for spot markets.
Software only. No investment advice. Past performance, backtests, or examples do not guarantee future results.
How Our AI Technology Works
AmpFi fuses ML insights with time-tested momentum principles. The pipeline ingests live market data, extracts features, scores opportunities, and routes trades through a rules-driven decision layer you control.
Data Ingestion & Processing
Real-time price, volume, and (where available) order book signals from supported exchanges with low-latency streaming.
AI Pattern Recognition
Models evaluate trend persistence, momentum quality, and volume context; outputs a confidence score per setup.
Decision Engine
A rules layer blends ML score, momentum filters, and user risk settings to propose or execute trades on your exchange.
System Highlights
Machine Learning Capabilities
Simple, transparent AI that adds context and discipline—keeping you in control at all times.
Advanced Pattern Recognition
Models trained on large market datasets to spot recurring behaviors across multiple timeframes.
Probability Scoring
Each potential setup is scored for confidence using historical analogs and current context.
Real-time Adaptation
Signals adapt to changing regimes as new market data streams in—no manual retuning needed.
Multi-timeframe Analysis
Parallel evaluation across 1m, 5m, 15m, 1h, 4h, and daily for a complete picture.
Our Momentum Trading Strategy
Identify sustained moves, time entries on pullbacks or breakouts, and manage positions with clear rules.
Momentum Identification Process
Trend Confirmation
Multiple timeframe alignment with moving averages, price structure, and volume context.
Volume Analysis
Volume profile and participation signals to validate sustainability of the move.
Entry Timing
Pullbacks and breakouts timed with momentum oscillators for favorable R:R.
Position Management
Sizing and stops adapt to volatility; profits protected with trailing logic.
Technical Indicators Used
RSI (Relative Strength Index)
Momentum oscillator for overbought/oversold context
MACD
Trend-following momentum confirmation
Bollinger Bands
Volatility envelopes for breakouts/mean reversion
Volume Profile
Price levels with heavy participation
EMA (Exponential Moving Averages)
Trend direction and dynamic S/R
ATR (Average True Range)
Volatility input for stops and sizing
Institutional-Grade Risk Management
Capital preservation first. Sizing, stops, and guardrails are built-in—not optional.
Dynamic Position Sizing
Calculates position size from account balance, volatility, and user risk settings.
Adaptive Stop Losses
Stop levels adapt to market structure and ATR to avoid random noise while protecting downside.
Maximum Drawdown Protection
Daily and monthly loss limits with optional cool-off periods after streaks.
Correlation Awareness
Avoids clustering risk by monitoring overlap across open positions.
Guardrails
Combine per-trade risk caps, daily loss limits, and drawdown brakes to prevent one bad day from defining your month.
Results Tracking & Transparency
Track every signal, order, and outcome in a unified dashboard. If you later publish audited stats, you can render them here—until then, we keep this section descriptive and claim-free by default.
Real-Time Analytics
See strategy context, fills, and P/L attribution at a glance.