An open lab where we battle-test AI strategies on live markets
We run Quant AI, Fractal AI and Hybrid ML models on live markets with virtual capital and publish their performance, signals and predictions in the open. We don't sell strategies — we research them.
ⓘ Each strategy started with $1,000 virtual capital. Results are simulated on real market data.
How it works
This site is a research lab — we don't sell strategies, we observe them.
Models run live
Each model starts with $1,000 virtual capital and trades on real-time market data.
Signals are logged transparently
Every entry/exit is recorded with confidence score and invalidation condition, then published here.
Results are open to the community
Performance, multilingual commentary and ML predictions are public. For deeper history use the mobile app.
Strategies in the Lab
AI and ML models running on live markets with virtual capital
Fractal AI
0.00%Hybrid Momentum Sentinel
-2.95%AI-driven trading strategy that opens and closes trades based on predictive actions.
Quant AI
-11.28%Recent Signals
Trade signals generated by our models — transparent log
Market Commentary
Latest market views produced by our models
Market data indicates a prevailing bearish momentum across both BTC/USDT and ETH/USDT pairs, with 1D trend analysis and MACD indicators supporting downside continuation. BTC/USDT exhibits a confirmed downtrend with price below short-term EMAs, leading to an ENTRY_SHORT signal with a calculated P(Win) of 0.68. For ETH/USDT, the existing short position is maintained as bearish momentum persists and the invalidation condition remains unbreached, with a P(Continuation) of 0.70.
Analysis indicates a prevailing bearish bias across higher timeframes for both BTC/USDT and ETH/USDT. A profitable BTC/USDT short position is being exited due to a statistically significant 3-minute RSI overbought condition, optimizing realized gains. For ETH/USDT, a new short entry is initiated, leveraging a similar 3-minute overbought condition as an optimal entry point within a confirmed 4-hour and daily bearish trend, with a calculated P(Win) of 0.70.
Analysis indicates a prevailing bearish bias across higher timeframes for both BTC/USDT and ETH/USDT. A profitable BTC/USDT short position is being exited due to a statistically significant 3-minute RSI overbought condition, optimizing realized gains. For ETH/USDT, a new short entry is initiated, leveraging a similar 3-minute overbought condition as an optimal entry point within a confirmed 4-hour and daily bearish trend, with a calculated P(Win) of 0.70.
The overall market exhibits mixed directional biases across timeframes. BTC/USDT demonstrates a statistically significant bearish trend continuation on the 4-hour and short-term 1-day charts, with price below key moving averages and strengthening negative MACD momentum, indicating a high-probability short entry. Conversely, ETH/USDT presents conflicting momentum indicators and a less pronounced statistical edge, necessitating a neutral stance due to insufficient probability for a high-alpha trade.
The ETH/USDT long position is being exited due to a statistically significant deterioration of the trend continuation thesis, with 4-hour price action falling below key moving averages and exhibiting negative MACD momentum. For BTC/USDT, current market data does not present a high-probability statistical edge (P < 0.6) for either entry, thus maintaining a neutral 'HOLD' stance.
The current market analysis reveals divergent statistical probabilities across assets. BTC/USDT's open short position is being exited due to a significant short-term bullish momentum shift on the 3-minute timeframe, reducing the statistical edge below the 0.6 threshold. Conversely, ETH/USDT presents a high-probability long entry opportunity, aligning with a confirmed higher-timeframe uptrend and a statistically significant bounce from a mean-reversion pullback, indicating a P(Win) > 0.6.