Single Ticker Q
Full analysis with composite score, vote consensus, 3-tier targets, stop, and hold duration.
Open Single TickerYour AI-powered command center — signals, options, and reinforcement learning all in one place.
Full analysis with composite score, vote consensus, 3-tier targets, stop, and hold duration.
Open Single TickerBroad sector scan to rank top BUY/SELL/HOLD setups across 150+ tickers.
Open Universe ScanIV-aware options structures aligned with Q's signal direction. Auto-critique flags.
Open Options61 TA-Lib candlestick patterns with plain-English explanations, confidence scoring, and highlighted chart generation.
Scan Candle PatternsScans 0–30 DTE options chains for institutional sweeps, unusual volume, high-probability setups, and a 90-day walk-forward backtest.
Open Whale ScannerAll-in-one options intelligence dashboard. Merlin earnings predictions, whale sweep alerts, Q signal + confluence, and short squeeze scoring — combined into one interactive command center for any ticker.
Enter War Room →Post-earnings move predictions vs. implied volatility. Upside, downside, or no-exceed with confidence.
Open EarningsLive headlines for market context and ticker-specific news.
Open NewsWalk-forward backtests with buy-and-hold benchmark comparison.
Open BacktestEvery signal with outcome tracking — WIN, LOSS, or pending evaluation.
Open HistoryWin rate, return, and leaderboard views by horizon and regime.
Open KPIsDQN training stage, epsilon, step count, and confidence metadata.
Open RL StatusLive health dashboard — headline numbers for every agent, equity curve, and recent activity.
Open ProgressDefinitions for all core metrics and decision rules.
Open MethodologyLearn indicator logic, risk overlays, and portfolio controls with examples.
Open EducationThis section mirrors the original Streamlit-level clarity so users can understand how each output is produced.
Two gates must be evaluated: score threshold (+0.10 / -0.10) and minimum 60% module agreement. If either gate fails, directional conviction is reduced.
Composite score (-1 to +1), confidence, vote split, RL agreement, targets (T1/T2/T3), stop-loss, and hold-days are displayed for interpretation.
Signal History tracks pending and resolved outcomes: WIN if a target is hit first, LOSS if stop is hit first or the signal expires.
DQN training stages are volume-based (Infant to Experienced). These labels do not imply guaranteed returns and should be treated as context only.
Composite (-1 to +1) is direction and strength. Confidence (0–100%) measures decisiveness: how far past the ±0.10 threshold × module agreement. It is not a probability of profit. 0–15% = near noise, 15–40% = low, 40–70% = moderate, 70–100% = high conviction.
Use stop and target distances to evaluate setup quality. Moderate target with acceptable risk/reward is usually more realistic than aggressive target selection.
Short-Term, Mid-Term, and Long-Term settings alter target width, stop distance, and evaluation window lengths.
Markets are non-stationary and noisy. Signals should be combined with independent research, position sizing rules, and explicit risk controls.