Mobshed AI Agents are autonomous trading programs designed to operate on your behalf, using advanced machine-learning models trained on real market data. Each agent acts as your personal trading engine - monitoring markets, executing trades, managing risk, and accumulating Mobshed tokens based on your performance.
You choose the strategy, configure the agent, and let it run continuously while the system handles the heavy lifting. Whether you want high-frequency activity, volatility-driven setups, or more selective trend-based trading, Mobshed Agents adapt to diverse conditions and optimize decisions in real time.
You can create your own fully customized AI Agent - an autonomous program that trades on your behalf using the strategy of your choice (Harvesters, Scavengers, Explorers or Celesters).
Each agent behaves independently, managing entries, exits, and allocations based on its assigned strategy. Users can create up to five agents at a time.
Key components of these strategies include:
Mobshed offers four distinct AI trading strategies, each trained and optimized for specific market conditions. These strategies are continuously refined using data from more than 150 cryptocurrencies since March 2022.
Every strategy is designed to respond differently depending on volatility, trend strength, and liquidity, ensuring that your agents can adapt to diverse market environments.
Key components of these strategies include:
The system continuously analyzes live market data - price movements, trends, volatility shifts, momentum changes, and other signals - to identify profitable setups. This real-time scanning enables fast reaction to short-term opportunities and evolving market structure.
All strategies evolve through ongoing machine-learning updates. They leverage historical patterns and current conditions to stay aligned with both trending and ranging markets. This allows the agents to maintain consistency in volatile environments and avoid stagnation in quieter ones.
When you create an agent, you also select a Mobshed Token (e.g., OCN, CLM, FNA, etc.) that the agent will accumulate as it generates profitable trades.
These tokens are automatically stored in your portfolio, where you can choose to hold them or sell them at any time.
Your token accumulation grows alongside your trading performance, allowing you to participate directly in the broader Mobshed ecosystem while your agents work for you.
When you create an agent, you also select a Mobshed Token (e.g., OCN, CLM, FNA, etc.) that the agent will accumulate as it generates profitable trades.
These tokens are automatically stored in your portfolio, where you can choose to hold them or sell them at any time.
Your token accumulation grows alongside your trading performance, allowing you to participate directly in the broader Mobshed ecosystem while your agents work for you.
Over the past 3 years, we’ve tested different strategies and ended up with four major approaches.
The Harvesters use the Zone Polarity Index (ZPI), which measures whether price is being accepted above or below a value zone and scores that polarity—as well as its persistence—on a scale from –1 to +1. Harvesters enter on a polarity flip combined with a retest of the zone, set stop-loss levels beyond the opposite band, and exit when the ZPI crosses back through 0. This strategy is particularly effective in sustained uptrend markets.
The Scavengers use the Trend Microstructure Adapter (TMA), which overlays a classic trend signal with microstructure cues—volatility bursts, bid–ask spread, and volume imbalance—to classify each moment as either trend or noise. Once approved by our AI Trading System, the Scavengers enter on pullbacks when both trend and flow are aligned. This strategy is particularly efficient during slow or “boring” market phases.
The Celesters use the Hyperbolic Trend Basis (HTB), which applies a smooth hyperbolic (tanh-like) curve to track both curvature and slope, producing a steadier trend line than standard moving averages. Entries trigger on slope-flip breaks—after approval from the AI Trading System—with curvature confirming acceleration (breakout). This strategy is recommended during strong bull markets.
The Explorers use Wideband Volatility Fractals (WVF), which measure how volatility is distributed across multiple time scales - the market’s “fractal roughness.” When wideband energy and fractal dimension surge, WVF identifies regime shifts such as panic or exhaustion, making it useful for contrarian fades or as a risk filter to reduce position size or step aside. Recommended in bear markets.
The Voyagers use Linear Lag Alignment (LLA), a trend-continuation framework derived from the alignment, spacing, and slope of multiple Moving Averages across time. LLA evaluates whether short, medium and long-term averages are not only ordered correctly, but also accelerating in the same directional regime - filtering out noise, chop, and late entries. Recommended in sideways markets.
The Travelers use a Nested Wave Timing (NWT) model to trade trends by synchronizing multiple timeframes into a single directional bias. NWT analyzes how price waves unfold across higher, intermediate, and lower timeframes, identifying whether short-term movements are expanding with or against the dominant higher-timeframe structure. Recommended in bear/sideways markets.
