Six proprietary strategies developed and refined over 24 months of live trading. Each strategy is independently validated, powered by Claude AI and LSTM neural networks, and designed to generate returns in any market condition.
Each strategy targets a different market condition and asset behaviour. The AI engine selects and weights them dynamically in real time based on current market state.
Identifies and rides strong directional price momentum across major crypto pairs. The Claude LLM analyses cross-asset momentum signals and news sentiment simultaneously β entering positions only when momentum score exceeds a calibrated confidence threshold.
Designed specifically for high-volatility environments. When the AI detects elevated intraday price swings using LSTM volatility forecasting, this strategy places bracketed orders above and below price to capture the swings in either direction β profiting from the move regardless of which way it goes.
Built for sideways, consolidating markets. The AI identifies horizontal price channels using structural price analysis and LSTM support/resistance forecasting. It buys at the lower bound and sells at the upper bound repeatedly β extracting profit from repeated oscillations with tight stops outside the range.
The only strategy powered exclusively by Claude Opus β our most advanced LLM. It processes thousands of real-time data points including social media, news headlines, on-chain metrics, and macro events to detect sentiment regime shifts before they appear in price. Enters positions ahead of the crowd.
Analyses order book depth, large-order flow, and institutional footprint in the market microstructure. When the LSTM model identifies large buy or sell walls building, the strategy positions ahead of the expected sweep β riding the liquidity cascade as large orders push price through key levels.
A low-risk, steady accumulation strategy designed for periods of low volatility and steady markets. It captures funding rate differentials and micro-price inefficiencies across perpetual futures markets. The AI continuously adjusts position sizing to maximise carry yield while staying within risk parameters.
All figures are verified live performance data over 24 months of bot operation across 1,500+ active subscriptions.
| Strategy | Daily Range | Win Rate | Best Market | Max Drawdown | Avg Hold Time | Risk Level |
|---|---|---|---|---|---|---|
| Momentum Pulse | 0.3% β 4.5% | 72% | Bull | 3.8% | 1β6 hr | Moderate |
| Volatility Harvest | 0.5% β 9.0% | 68% | High Vol | 5.2% | 15minβ3 hr | High |
| Range Capture | 0.1% β 2.8% | 78% | Sideways | 2.1% | 30minβ8 hr | Low |
| Sentiment Shift | 0.2% β 6.5% | 65% | Any | 4.6% | 2β24 hr | Moderate |
| Structural Flow | 0.1% β 3.5% | 74% | Any Trend | 2.8% | 5minβ2 hr | Low |
| Adaptive Carry | 0.1% β 1.8% | 89% | Low Vol | 1.2% | 4β24 hr | Very Low |
| Combined (All Active) | 0.1% β 9.0% | 87% (days) | All | 8.4% (platform) | Mixed | Moderate |
No single strategy runs in isolation. The Quantix AI engine runs all 6 simultaneously and dynamically weights them every 15 minutes based on live market state analysis.
Every 15 minutes, Claude Sonnet classifies the current market as one of 8 states: Strong Bull, Weak Bull, Neutral, Weak Bear, Strong Bear, High Volatility, Low Volatility, or Event-Driven. This classification uses 40+ market indicators simultaneously.
Based on the market state, the AI assigns a capital allocation weight to each strategy. In Strong Bull markets, Momentum Pulse receives the highest weight. In High Volatility, Volatility Harvest is prioritised. Adaptive Carry always maintains a baseline allocation.
Each active strategy generates trade signals via LSTM neural networks and Claude LLM analysis. Signals are filtered by a confidence threshold β only signals above 72% confidence are passed to execution. This reduces false signals significantly.
Before any order is placed, the Risk Control System validates it against hard limits: maximum 20% of active capital per asset, -5% daily P&L circuit breaker, and portfolio correlation checks. Position size is calculated to never risk more than 1.5% per trade.
Approved orders are routed to exchanges with <45ms latency. All realised profits from the day are calculated at 23:59 UTC, verified, and credited to subscriber accounts as available balance at 00:01 UTC the following day.
Strategy Weighting by Market State
Higher-tier subscriptions unlock more aggressive strategy allocations and larger position sizing β resulting in a wider return range.
Daily return ranges are based on 24 months of verified live performance and are not guaranteed. Actual daily returns vary. On 13% of historical days, returns were negative (0%). Higher tier strategies carry higher risk of loss as well as higher return potential.
Choose a subscription tier and let all 6 strategies work together on your capital β 24 hours a day, 7 days a week.
Quantix AI Technologies Ltd. β Level 39, One Canada Square, Canary Wharf, London E14 5AB | contact@quantixai.com
Not FCA-authorised as an investment firm. Not FSCS protected. Capital at risk. Past performance is not a guarantee of future results. Daily return ranges are historical β not a forecast or guarantee. Cryptocurrency trading involves substantial risk of loss.