Welcome to Q-Signals

Your AI-powered command center — signals, options, and reinforcement learning all in one place.

🔗 Connect your Phantom wallet to unlock gated features and track your $Q tier.
📊 Run a Signal Analyse any ticker with 41 modules, composite score, and 3-tier targets. 🌐 Scan the Market Rank 150+ tickers across 15 sectors — top BUY and SELL setups instantly. 💬 Chat with Agents Ask Q, Merlin, Delta, or Lao-Tzu anything about your portfolio or the market. 🧠 View RL Training DQN stage, epsilon decay, step count — real-time RL agent status dashboard. ⚔️ War Room 5M $Q Premium intelligence command center — Merlin earnings, whale flow, Q confluence, and squeeze setups on one live dashboard for any ticker.

📊 Signal & Strategy

Single Ticker Q

Full analysis with composite score, vote consensus, 3-tier targets, stop, and hold duration.

Open Single Ticker

Universe Scan Q Premium (5,000,000 $Q)

Broad sector scan to rank top BUY/SELL/HOLD setups across 150+ tickers.

Open Universe Scan

Options Strategy Delta Free (15/day) | Unlimited with $Q

IV-aware options structures aligned with Q's signal direction. Auto-critique flags.

Open Options

Candle Patterns Lao-Tzu Free (15/day) | Unlimited with $Q

61 TA-Lib candlestick patterns with plain-English explanations, confidence scoring, and highlighted chart generation.

Scan Candle Patterns

Whale Scanner Options Flow Free (15/day) | Unlimited with $Q

Scans 0–30 DTE options chains for institutional sweeps, unusual volume, high-probability setups, and a 90-day walk-forward backtest.

Open Whale Scanner

⚔️ War Room Premium (5,000,000 $Q)

All-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 →

🔬 Intelligence & Research

Merlin — Earnings Merlin Free (15/day) | Unlimited with $Q

Post-earnings move predictions vs. implied volatility. Upside, downside, or no-exceed with confidence.

Open Earnings

Financial News Q

Live headlines for market context and ticker-specific news.

Open News

Backtest Q

Walk-forward backtests with buy-and-hold benchmark comparison.

Open Backtest

Performance & Tracking

Signal History Q

Every signal with outcome tracking — WIN, LOSS, or pending evaluation.

Open History

KPI Dashboard Q

Win rate, return, and leaderboard views by horizon and regime.

Open KPIs

RL Agent Status Q

DQN training stage, epsilon, step count, and confidence metadata.

Open RL Status

Agent Progress All

Live health dashboard — headline numbers for every agent, equity curve, and recent activity.

Open Progress

Research & Education

Methodology

Definitions for all core metrics and decision rules.

Open Methodology

Education Center

Learn indicator logic, risk overlays, and portfolio controls with examples.

Open Education

Transparency Center

This section mirrors the original Streamlit-level clarity so users can understand how each output is produced.

Decision System

Two gates must be evaluated: score threshold (+0.10 / -0.10) and minimum 60% module agreement. If either gate fails, directional conviction is reduced.

Signal Components

Composite score (-1 to +1), confidence, vote split, RL agreement, targets (T1/T2/T3), stop-loss, and hold-days are displayed for interpretation.

Outcome Evaluation

Signal History tracks pending and resolved outcomes: WIN if a target is hit first, LOSS if stop is hit first or the signal expires.

RL Agent Reality Check

DQN training stages are volume-based (Infant to Experienced). These labels do not imply guaranteed returns and should be treated as context only.

How to Read a Signal (Quick Reference)

Composite and Confidence

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.

Risk/Reward and Targets

Use stop and target distances to evaluate setup quality. Moderate target with acceptable risk/reward is usually more realistic than aggressive target selection.

Horizon Behavior

Short-Term, Mid-Term, and Long-Term settings alter target width, stop distance, and evaluation window lengths.

Model Limits

Markets are non-stationary and noisy. Signals should be combined with independent research, position sizing rules, and explicit risk controls.