Signal Execution Tracker Live Demo
Watch TokenIntel signals executed systematically with paper trading. Full transparency into positions, trades, and performance.
Portfolio Performance
Current Positions
Recent Trades
Signal-Based Execution
Trades are executed automatically when TokenIntel signals change. Buy signals increase allocation, sell signals reduce it, and hold signals maintain current positions.
Realistic Simulation
Paper trades include simulated slippage (0.5%), respect position limits, and use live market prices. Execution skips if price API fails. No hindsight bias.
Full Transparency
Every trade, position change, and performance metric is recorded and publicly visible. This is our signals in action, for better or worse.
Why Signal-Driven, Not Discretionary
Active management in crypto has a track record problem. FiCAS AG launched the world's first actively managed crypto ETP (BTCA) in July 2020, giving a human portfolio manager full discretion over coin selection and weightings across the top 15 assets by market cap. After a full year, the results told a clear story:
| Metric | BTCA (Active ETP) | Bitcoin (Passive) |
|---|---|---|
| Cumulative Return | -40.55% | -32.39% |
| Volatility (Std Dev) | 10.77% | 9.23% |
| Max Drawdown | 56.82% | 50.62% |
The actively managed product underperformed Bitcoin on every dimension — worse returns, higher volatility, and deeper drawdowns. Crypto's 24/7 markets, high inter-asset correlation, and structural volatility make discretionary timing extremely difficult, even for professionals.
TokenIntel takes a different approach: rules-based signals that remove human discretion from the equation. When a signal changes, the paper trader executes. When it doesn't, it holds. No gut calls, no emotional overrides. This page is the public, real-time proof of that discipline.
Market data: Tiger Research, Crypto ETP Market Overview, 2026