Below — the detailed “behind the scenes”: from the first websocket shot to order execution and self-learning models. Let’s walk through the process so you understand why the bot truly outperforms 95% of people.
See the ProcessCreate an account on Moriarty Trade in one click via Google or email.
Click “Connect Binance/ Bybit/ OKX” — get instructions or API key (if you have access).
The bot will trade automatically — trades are copied to your exchange account from ours.
The service is free until your first profit.
Charged only after a profitable trade is closed.
Each report shows your net profit and our share.
Disable Copy-trading in one click — the bot will stop making trades.
Dynamic-Sizer increases lot only after 30+ successful trades in a row.
50x/sec we check that the drawdown forecast is < 1.5%.
The bot moves stop-loss up when momentum fades.
If daily loss is −5% to equity — the algorithm goes flat until tomorrow.
The position is split into 2-3 parts, taking profit at each level.
Balance updates via WebSocket; delay < 1 sec.
Each Sunday you get a trade summary to your email.
Funds are already on your exchange — withdraw USDT anytime.
profitable trades
average RR
average trade risk
ROI/ month
active users
Move the sliders to see how your deposit could grow with Moriarty AI. Figures are illustrative, based on our audited Q1-Q2 2025 stats: average monthly net return 25–60% (Conservative–Aggressive).
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*Past performance is not a guarantee of future results. Projection uses compound growth: Conservative 5%/ month, Balanced 8%/ month, Aggressive 12%/ month.
• Order-book L2 (Binance, Bybit, OKX) in 50ms stream
• On-chain metrics (gas, active wallets)
• 2M+ social posts/day via LLM-Sentiment
• Macro tracker (DXY, S&P 500 futs)
• Isolation Forest cuts flash noise
• 1,247 features go into Redis-Feature-Store (< 12 ms)
• Z-score normalization tracks liquidity spikes
• LSTM captures candle order
• Transformer reads news/tweet context
• Gradient Boosting retrains on last 10 days
Bayesian Selector weights models by hourly volatility
• Value-at-Risk calculation 50x/sec
• Dynamic-Position-Sizer sets size
• If VAR < threshold — go to execution
• REST fallback < 150ms if WebSocket drops
• 87% of orders get the first price level
• After closing, the whole (state-action-reward) track is logged
• Night “Replay Trainer” recalculates weights; new models go to Prod with no downtime (A/B canary release)
L2 Order-book BTC/USDT shows a bid spike of +1,800 BTC in 90ms.
LLM-Sentiment catches tweets from Glassnode about BTC outflow from exchanges.
Model ensemble raises “long-probability” to 0.83 (threshold 0.75).
Risk core calculates size 0.37 BTC (VaR 1.4%).
Smart-Router picks Bybit (smaller spread), sends limit order.
Price +0.42% — TP hit, profit +0.0016 BTC, log sent to Replay Trainer.
Average Signal → Order
Orders at first price level
Average slippage (BTC/USDT, Q2 2025)
Cluster uptime over 12 months
API keys encrypted “at-rest” and “in-transit”
Zero rights by default, 2-factor access
Every service authenticates on every request
SIEM alert from event to SOC team in under 30s
No. All logic lives in our clusters. You just connect Copy Trading or create an API key “read/trade-only”.
Average payback — 9-12 days with a deposit ≥ $300 (Q1-Q2 2025 statistics).
Blue-green deploy. The old version remains active until the new one passes a 48-hour health check on real-time data.
30 seconds to connect — and you watch trades appear on their own. No risk: pay only a percentage of net profit.
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