HyroTrader challenge tracker

← Unified audit dashboard  ·  Data: audit_dashboard/data/hyrotrader_picks.json  ·  QuanEngine: audit_dashboard/data/hyro_quan_bridge.json

Short-term entry radar (unified audit)

Hyro panels below = crypto perps research (1h playbook + QuanEngine). For cross-asset candidates that already passed score/trust/fwd gates, open the main audit and use HIGH CONVICTION (hc_filter.js — same gates as production JSON). Sort by freshness / score; cross-check symbol here before sizing.

→ Open unified audit dashboard  ·  Recommended: Asset = All, then HIGH CONVICTION, sort score desc

Copy-trade / PM monitoring (merged HL + Polymarket + trusted registry): run python tools/build_unified_copytrade_candidates.pycopy_trader_intel/data/unified_copytrade_candidates.json. See docs/COPY_TRADE_CANDIDATES.md.

QuanEngine Edge Tracker

18-strategy consensus voting with auto-computed entry/TP/SL levels. Strong = consensus threshold met (tradeable edge). Developing = leading direction but below threshold. Vote breakdown and ATR-based levels always shown.

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SymbolRegimeHurstSignal Votes (B/S/Total)ConsensusConfidenceMode EntryTPSLR:REdgeStrategies

Table 2 — Live playbook signals (1h)

What is this? A real-time strategy scanner. Every time you load this page (or click "Refresh"), it pulls the latest closed 1-hour candle from Binance and checks each strategy's entry rules against that bar. If a row shows Valid SHORT or Valid LONG, that strategy's conditions were met on the most recent completed candle.

How it differs from Table 1: Table 1 (QuanEngine) is a daily consensus vote — "do the strategies agree?" This table is a live per-strategy breakdown — "which individual strategy is firing right now?" The QuanEngine column here links the two: it shows whether the QuanEngine also agrees with that strategy's direction.

This is not a trade signal — confirm on chart and in your Hyro terminal before entering. Config: audit_dashboard/data/hyro_live_strategies.json.

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Per-strategy breakdown — which strategies are firing right now?

Each row = one strategy × one symbol. Valid SHORT/LONG means that strategy's entry rules matched the last closed 1h candle. Rows with "No setup" didn't trigger — use the checkbox above to hide them.

Symbol Strategy As of (ET, last closed UTC bar) Setup QuanEngine Levels (hint)

TP / SL — read this

Numeric prices (entry_price, stop_loss, take_profit in JSON) stay empty until you paste real levels from your chart — we do not invent prices. Hyro still requires a stop on the platform within ~5 min of entry. The table column SL / TP plan is how to think about placement, not dollar quotes. Use the calculator once you know entry and stop %%.

🎯 Table 3 — Pick List 🚀 ★ THE MAIN EVENT ★

Your curated trade plan. Specific picks you intend to (or already have) executed on the Hyro platform — not auto-generated signals.

📊 vs. Tables 1 & 2: Tables above = research ("what does the data say?"). This table = action log ("what did I actually trade?"). Update hyrotrader_picks.json on entry/close.

🏆 # 💎 Asset 📈 Dir 🎯 Conf 🔖 Symbol 💰 SL / TP + prices ⚡ Status

Table 4 — Signal Strength & Pick Performance

What is this? Validates whether past signals actually hit their TP or SL by checking real Binance price action from signal time forward. Each strategy gets a Strength Score (0–100) based on win rate, sample size, edge quality (MFE/MAE), and signal decisiveness.

How to read it: A/A+ = strong track record, trade with confidence. B/C = moderate — use with extra confirmation. D/F = weak or insufficient data — avoid or resize down. Run python tools/hyro_pick_performance_validator.py --save to refresh.

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Strategy scorecard

Strategy Grade Score Win Rate W / L / E Profit Factor Avg MFE Avg MAE Edge Ratio Net PnL %

Per-symbol breakdown

Symbol Win Rate W / L / E Net PnL %

Individual signal outcomes

Each row = one signal that was checked against actual price. WIN = TP hit first. LOSS = SL hit first. EXPIRED = neither within hold window.

Time Symbol Strategy Dir Entry TP SL Result PnL % MFE / MAE Bars

Table 5 — ML Edge Optimizer

Auto-evolving ML model that learns from validated outcomes. Scores every strategy×symbol combo by predicted edge. Uses GradientBoosting/RF trained on backtest stats, regime, technicals, and real TP/SL hit data. Drift detection auto-retrains when accuracy drops below 45%.

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Top 10 highest-edge combos

# Strategy Symbol ML Score Grade Method

Best strategy per symbol

Symbol Best Strategy Score Grade

Bottom 5 — avoid these combos

# Strategy Symbol Score Grade