Mobshed has developed a suite of AI-driven trading bots, continuously trained on over 150 cryptocurrencies since March 2022. These bots progressively refine their strategies and can automatically select currencies, determine trade allocations, execute entries, take profits, and exit positions at optimal times. Their decision-making hinges on three key factors:
Real-time Market Monitoring is the first critical factor in the AI’s decision-making process. It involves continuously analyzing live data from multiple cryptocurrency markets to identify trends, track price movements, and uncover emerging opportunities. This continuous scanning allows the bots to rapidly capitalize on short-term fluctuations and refine their trading strategies for optimal profitability.
These strategies evolve through ongoing learning and adaptation. The AI-driven bots refine their trading methods using historical data, market patterns, and emerging trends. By staying flexible and responsive to current conditions, they can handle both volatile and stable markets and pursue the best possible outcomes.
Before each trade, the bots analyze factors like market volatility, liquidity, and past market trends to gauge the risk. They use measures like stop-loss orders, diversification across different assets, and position sizing to keep trades balanced. This measured approach helps protect the portfolio against heavy losses while still capturing profitable opportunities.
Over the past 3 years, we’ve tested different strategies and ended up with four major approaches.
The Zone Polarity Index (ZPI) measures whether price is being accepted above or below a value zone and scores that polarity and its persistence on a –1 to +1 scale. The Harvesters enter on a polarity flip with a retest of the zone, set stops beyond the opposite band, and exit when ZPI crosses back through 0.
The Trend Microstructure Adapter (TMA) overlays a classic trend signal with microstructure cues - volatility bursts, bid–ask spread, and volume imbalance - to classify each moment as trend or noise. Once approved by our AI Trading System, the Harvesters enter on pullbacks when trend and flow align.
The Hyperbolic Trend Basis (HTB) uses a smooth hyperbolic (tanh-like) curve to track curvature as well as slope, giving a steadier trend line than simple moving averages. Entries trigger on slope-flip breaks, after the AI Trading System approval, with curvature confirming acceleration (breakout).
Wideband Volatility Fractals (WVF) measures how volatility is distributed across multiple time scales - the market’s “fractal roughness.” When that wideband energy and fractal dimension surge, WVF flags regime shifts (panic/exhaustion), useful for contrarian fades or as a risk filter to size down or stand aside.
