Crypto Trading Blueprint — System Analysis for Review

0. Glossary, Architecture & Assumptions

Key Terms

Term	Definition
WR (Win Rate)	% of closed trades that were profitable (hit TP or closed in profit)
PF (Profit Factor)	Gross wins / Gross losses. PF > 1.0 = profitable. PF > 1.5 = strong edge.
R:R (Risk:Reward)	Distance to take-profit / distance to stop-loss. R:R of 2.0 means TP is 2x further than SL.
Expectancy	(WR × Avg Win) − ((1−WR) × Avg Loss). Expected PnL per trade. Must be positive for profitability.
Confidence	Strategy-specific score 0.0−1.0 generated by each system based on its internal signal strength assessment. NOT calibrated (0.8 confidence ≠ 80% probability).
BT (Backtest)	Performance on historical data. Subject to look-ahead bias, curve-fitting, and survivorship bias.
FWD (Forward Test)	Performance on live market data after the strategy was deployed. The gold standard for validation.
Decay	BT WR − FWD WR. Positive = strategy performs worse live (likely overfitted). Negative = improved or BT data missing.
Health	Strategy status: healthy = performing within expected parameters. degrading = recent drawdown or declining WR. watch = under observation. None = status not yet classified.
Agreement	Number of independent system groups flagging the same symbol+direction. Higher = more consensus. Capped at system group level (deduplicated).
Trust Tier	PROVEN (1.0x weight) → SANDBOX (0.25x, default for new systems) → PROBATION (0.10−0.15x) → DEMOTED (0.25x, asset-specific failures)

System Architecture

75 CRYPTO SYSTEMS generate signals every 15-30 min via GitHub Actions
  │
  ├── PROVEN: battleground, alpha_engine (forward-validated, full trust)
  ├── GENETIC: genome_gp, DARWIN variants (GP expression trees evolving buy/sell formulas)
  │     └── Function set: RSI, MACD, EMA, Volume, ATR, Bollinger — standard TA indicators
  │     └── Fitness: Sharpe ratio on 6-month rolling window, penalized by trade count
  │     └── Population: 500 individuals, 100 generations, tournament selection
  ├── ML: mercury2 (XGBoost), ml_bg_system_a-f (various ML ensembles), crypto_ml_edge
  ├── REVIVAL: Auto-mutates dormant strategies when stale >2 days (parameter ±10-30%)
  │     └── ⚠ Known risk: creates untested variants. Safeguard: enters as SANDBOX tier (0.25x weight)
  ├── KIMI: 81-algorithm scanner (fear/greed, order book, funding rate, whale detection)
  └── AGGREGATORS: super_signals, aggregated_picks (consensus from multiple systems)
  │
  ▼
SCORING ENGINE: ranks each pick 0-100 based on weighted formula
  │
  ▼
AUDIT DASHBOARD: tracks all picks, monitors TP/SL resolution, computes performance
      

Fee & Execution Assumptions

Parameter	Value	Notes
Exchange fees	0.10% taker per side	Binance standard. Round-trip cost = 0.20%
Slippage	~0.05% estimated	For liquid pairs (BTC, ETH). Small-cap may be higher.
Funding rate	Not included	Perpetual swap funding can be +/- 0.01-0.10% per 8h. Material for holds >24h.
PnL calculation	Entry vs TP/SL hit	Does NOT include fees. Actual returns ~0.20-0.40% worse than shown per trade.
Price source	Binance spot API	Live prices fetched on page load. During outages, falls back to CoinGecko.
Avg hold time	15h (0.6 days)	Computed from current active picks. Historical may differ.

System Lifecycle

Stage	Criteria	Trust Weight
New / SANDBOX	Default for all new systems. <50 closed trades.	0.25x
Under Review	10-50 closed trades. Performance monitored.	0.25x
PROVEN	50+ closed trades, WR ≥ 50%, PF ≥ 1.0, documented forward results.	0.8−1.0x
PROBATION	Documented poor performance: broken risk mgmt, consistently losing, or system errors.	0.10−0.15x
DEMOTED	Strategy works on some assets but fails on others (asset-specific demotion).	0.25x
Killed	Auto-kill when criteria met (see below). 19 of 75 systems are grade F.	0x (disabled)

Kill Criteria (Mercury AI Recommended)

A system/strategy should be automatically KILLED (disabled) when ANY of these are met:
• FWD WR < 40% after ≥30 closed trades — consistently below random chance
• FWD PF < 0.8 after ≥30 closed trades — losing more than winning
• BT→FWD Decay > 25% — strategy is severely overfitted to historical data
• Max Drawdown > 30% on $100 position sizing — unacceptable risk
• No trades generated in 14+ days — dormant/broken system
• 3 consecutive losing months — persistent underperformance

⚠️ Current status: Kill mechanism is NOT yet implemented. 19/75 grade-F systems remain active, generating noise and diluting signal quality.

1. Executive Summary — Crypto Portfolio

Generated 2026-05-24 21:03 EST from 110 crypto systems producing 19 active picks.

Active Picks

172

Closed Picks

5,890

Win Rate

48.0%

Total PnL (Realized)

+1848.78%

Profit Factor

1.33

Expectancy / Trade

+0.32%

Avg Win

+2.61%

Avg Loss

-1.80%

Honest Assessment: The overall crypto portfolio is unprofitable with a 48.0% win rate and 1.33 profit factor. Expectancy is +0.32% per trade — meaning every trade loses on average. The system generates too many low-quality signals from unproven strategies. However, a subset of proven strategies shows strong positive results (see Section 4).

Key Problem: Avg loss (1.80%) exceeds avg win (2.61%), AND win rate is below 50%. A profitable system needs EITHER a high WR with reasonable R:R, OR a low WR with high R:R. We have neither in aggregate.

2. System-by-System Breakdown (75 crypto systems with data)

Grade: A = proven profitable (WR≥55, PF≥1.5, 20+ trades), B = positive edge, C = marginal, D = insufficient data, F = unprofitable

System	Grade	Active	Closed	W	L	WR	Total PnL	PF	Expect.	Avg W	Avg L
claude gainer st Claude Gainer Short-Term. 1h/4h variant of ML Gainer for faster trades. Tighter TP/SL for intraday holds.	A	0	1664	335	157	68.1%	+509.12%	2.95	+1.03%	+2.3%	-1.7%
kimi riseoftheclaw KIMI v11.0 - 81 algorithm scanner. Includes crypto acceleration, proven research-backed strategies, ML signal ranking, a	B	4	910	353	345	50.1%	+443.54%	1.34	+0.63%	+4.9%	-3.7%
baby strats forward Baby Strategies Forward Test. Large collection (~2,700 trades) of simple strategy variants being forward-tested. WARNING	C	0	7814	797	780	49.9%	+258.77%	1.41	+0.16%	+1.1%	-0.8%
mega mutation Mega Mutation Tournament. 1,000 DNA mutations - 33 crypto symbols with walk-forward validation. Top strategies: MACD+RSI	A	1	154	65	44	59.6%	+186.43%	2.57	+1.71%	+4.7%	-2.7%
super signals Cross-system consensus super signals. Only fires when multiple independent systems agree on direction + symbol. High-con	C	35	149	62	69	47.3%	+140.73%	1.57	+1.07%	+6.2%	-3.6%
quan engine QuanEngine Prop Firm. Quant strategies designed for prop firm challenges - strict risk management, max drawdown limits.	C	0	404	152	252	37.6%	+129.64%	1.38	+0.32%	+3.1%	-1.3%
luxalgo filters LuxAlgo 5-Filter Confluence Engine. Automated signal generator inspired by LuxAlgo TradingView indicators. Runs 5 Python	C	4	1900	707	921	43.4%	+100.86%	1.05	+0.06%	+2.8%	-2.0%
stocks competition Stocks Competition. Multi-asset competition scanner for equities - scans SPY, QQQ, major stocks.	C	0	1368	108	110	49.3%	+98.30%	1.35	+0.45%	+3.5%	-2.6%
claude gainer Antigravity ML Gainer. Claude-powered ML model identifying top crypto gainers using momentum + volume + social signals.	A	0	512	18	14	56.2%	+80.21%	2.23	+2.51%	+8.1%	-4.6%
signal validation No description available	C	2	404	40	27	47.6%	+63.91%	2.38	+0.76%	+2.8%	-1.7%
ml bg system f ML Battleground System F - Claws of Doom. Proprietary multi-factor ML combining KIMI signals with battleground validatio	C	0	168	81	87	48.2%	+56.18%	1.12	+0.33%	+6.6%	-5.5%
aggregated picks Cross-system aggregated picks. Merges picks from all systems with symbol normalization and deduplication.	C	8	105	46	53	46.5%	+53.83%	1.65	+0.54%	+3.0%	-1.6%
kimi signal tracking KIMI historical signal audit log. Tracks TP/SL validation against real Binance prices via signal_tracker.py.	A	0	1201	24	13	55.8%	+52.73%	3.07	+1.23%	+3.3%	-2.0%
dna winner picks DNA Winner Picks. Top-scoring strategies from the DNA evolution pipeline, filtered by fitness > 0.7.	C	1	158	69	89	43.7%	+51.68%	1.38	+0.33%	+2.7%	-1.5%
ml crypto pred v12 No description available	C	0	57	28	29	49.1%	+31.81%	1.66	+0.56%	+2.9%	-1.7%
copy trader highscore No description available	C	0	133	11	0	100.0%	+23.11%	0.00	+2.10%	+2.1%	-0.0%
chatgpt combined No description available	A	0	22	6	4	60.0%	+14.03%	2.96	+1.40%	+3.5%	-1.8%
rapid fire Rapid Fire 1h Scanner (NOW.py). High-frequency crypto scanner on 1h timeframe. WARNING: High-frequency noise, limited pr	A	0	413	8	3	61.5%	+13.60%	2.79	+1.05%	+2.6%	-2.5%
alpha engine Proven Underdog Portfolio. 100 statistically-validated strategies (Connors RSI-2 75% WR, VIX Spike 72% WR). Scans crypto	C	42	1055	131	165	41.6%	+9.04%	1.02	+0.03%	+3.1%	-2.5%
rl agent Reinforcement Learning Agent. Uses deep Q-learning to learn optimal trade entry/exit timing from market state observatio	B	0	10	3	2	60.0%	+6.36%	2.54	+1.27%	+3.5%	-2.1%
trusted genome No description available	C	0	40	7	8	46.7%	+6.34%	1.60	+0.42%	+2.4%	-1.3%
ai challenge scanner 4 AI Challenge: Scanner. Alpha Engine ML-ranked signals entered as tournament competitor. R4 avg +2.40%. Uses bollinger_	C	0	8	2	0	100.0%	+6.27%	0.00	+3.13%	+3.1%	-0.0%
regime terminal Regime Terminal. Market regime classifier that identifies bull/bear/sideways conditions and adjusts signal generation ac	C	4	53	19	34	35.8%	+6.00%	1.12	+0.11%	+3.0%	-1.5%
copy trader intel No description available	C	0	387	2	0	100.0%	+4.95%	0.00	+2.48%	+2.5%	-0.0%
multitf evolver DARWIN Multi-Timeframe Evolver. Evolves strategies that combine signals across 1h, 4h, 1d timeframes. Higher timeframe c	B	0	10	3	2	60.0%	+4.58%	2.53	+0.92%	+2.5%	-1.5%
dna rapid fire mutations No description available	C	1	8	4	4	50.0%	+3.51%	1.52	+0.44%	+2.6%	-1.7%
crypto signal engine Multi-model crypto signal engine. Combines XGBoost day-trade, LightGBM top-gainer, and ML ensemble models.	C	0	1	1	0	100.0%	+2.67%	0.00	+2.67%	+2.7%	-0.0%
prop firm strategies Prop Firm Strategies. Specialized for FTMO/MFF challenge rules - daily loss limits, profit targets, consistency.	C	0	20	4	6	40.0%	+2.24%	1.20	+0.22%	+3.4%	-1.9%
copy trader clones No description available	B	0	120	11	11	50.0%	+2.19%	1.19	+0.10%	+1.3%	-1.1%
ai challenge predictable 4 AI Challenge: Predictable. Highest ML Score ranking - picks the top 3 scanner BUY signals by raw ML confidence. R4 bes	C	0	8	1	1	50.0%	+1.28%	1.58	+0.64%	+3.5%	-2.2%
claude gainer ml perf Claude Gainer ML Performance tracker. Monitors and scores ML gainer predictions against actual outcomes.	F	0	3	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
contrarian consensus No description available	F	1	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
deploy riseoftheclaw No description available	F	0	1	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
ensemble evolver DARWIN Ensemble Coevolution (LEGION). Co-evolves teams of strategies that complement each other. Optimizes portfolio-lev	F	3	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
failure evolver DARWIN Failure Evolver. Learns specifically from LOSING picks. Mutates failed strategies to find what went wrong and evo	F	0	3	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
fc crypto pro FC Crypto Pro. Professional crypto signal feed with curated picks.	F	1	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
genetic programmer DARWIN GP Engine (GENESIS). Evolves trading strategies using genetic programming - buy/sell formulas are expression tree	F	8	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
genome DNA Permutation Engine. Core genetic algorithm system - represents strategies as DNA (genes for timeframe, indicators, T	F	0	4	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
hyperparam dna DARWIN Hyperparameter DNA. Evolves optimal indicator parameters (RSI period, EMA length, ATR multiplier) using genetic a	D	0	8	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
inverse mutations No description available	F	5	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
kimi claw research No description available	D	0	25	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
mape evolver DARWIN MAP-Elites (ATLAS). Quality-Diversity evolution - fills a grid of (volatility x trend) niches with the best strat	F	6	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
maplestax cbc No description available	D	0	16	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
mercury2 Mercury2 XGBoost ML ensemble. Gradient-boosted tree model trained on 100+ technical features. Targets crypto momentum wi	D	0	464	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
ml consensus No description available	D	0	13	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
momentum evolver DARWIN Momentum Evolver. Specialized GP focused on momentum/trend signals. Evolves buy/sell rules optimized for trending	D	0	8	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
neat neural DARWIN NEAT Neural Evolution. NeuroEvolution of Augmenting Topologies - evolves neural network topology AND weights simu	D	0	8	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
pm kalshi signals No description available	F	4	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
polymarket signals No description available	F	1	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
prediction market consensus No description available	F	2	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
riseoftheclaw Rise of the Claw (mirror). Legacy KIMI mirror directory - may contain stale data. Primary source is kimi_riseoftheclaw.	F	8	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
rocket scanner No description available	F	4	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
short engine No description available	F	2	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
top gainer predictor No description available	D	0	20	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
tsmom strategy No description available	F	5	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
wf audit signals No description available	F	7	0	0	0	0.0%	+0.00%	0.00	+0.00%	+0.0%	-0.0%
breakout b ml Breakout Arena B - ML Breakout Detection. Uses machine learning to score breakout probability at S/R levels. Combines fr	D	0	44	0	0	0.0%	-0.44%	0.00	-0.01%	+0.0%	-0.0%
battleground Forward-testing arena. Runs proven winners (VWAP Deviation +332%, RSI ETH +291%) against live market. Gold standard for	C	1	148	68	80	45.9%	-1.11%	0.98	-0.01%	+0.9%	-0.8%
copy trader consensus No description available	F	0	1	0	1	0.0%	-2.26%	0.00	-2.26%	+0.0%	-2.3%
crypto ml edge Crypto ML Edge. Specialized ML model for identifying statistical edges in crypto price action using feature engineering.	C	0	8	4	3	50.0%	-2.63%	0.76	-0.33%	+2.0%	-3.6%
ml bg system c ML Battleground System C - Deep Learning. LSTM + attention-based neural network for sequence prediction. WARNING: 0% WR	D	0	5	0	5	0.0%	-4.04%	0.00	-0.81%	+0.0%	-0.8%
paper trading Paper trading portfolio manager. Simulates real trades with virtual capital, tracks equity curves and drawdowns.	C	0	63	8	15	34.8%	-4.89%	0.92	-0.21%	+7.0%	-4.0%
macd dna mutations MACD DNA Mutations. Specialized mutations of MACD-based strategies with evolved parameters (fast/slow/signal periods).	D	0	14	1	6	14.3%	-5.80%	0.27	-0.83%	+2.2%	-1.3%
signal aggregator Signal Aggregator master tracker. Central registry tracking all picks across all systems with consensus scoring.	D	0	8	0	3	0.0%	-6.00%	0.00	-2.00%	+0.0%	-2.0%
proven strategies No description available	D	0	9	0	4	0.0%	-6.06%	0.00	-1.52%	+0.0%	-1.5%
contrarian evolver DARWIN Contrarian Evolver. GP evolved for mean-reversion/contrarian signals. Optimized for oversold bounces and overboug	D	0	10	0	5	0.0%	-7.50%	0.00	-1.50%	+0.0%	-1.5%
signal engine mutations Signal Engine Mutations. DNA variants of crypto signal engine models with evolved hyperparameters.	C	0	91	31	60	34.1%	-9.51%	0.90	-0.10%	+2.7%	-1.6%
mutation lab DNA Mutation Lab. Takes proven winning strategies and creates controlled mutations to find improved variants.	D	6	27	8	19	29.6%	-9.99%	0.67	-0.37%	+2.6%	-1.6%
breakout c spike Breakout Arena C - Spike Reverse. Detects price spikes using cosine similarity to historical spike archetypes, then trad	D	0	9	3	6	33.3%	-12.35%	0.16	-1.37%	+0.8%	-2.5%
ml crypto pred ML Crypto Predictor (enhanced models). LSTM/XGBoost predictions with live picks output.	D	35	11	0	11	0.0%	-19.00%	0.00	-1.73%	+0.0%	-1.7%
ml bg ensemble ML Battleground Ensemble - combines predictions from Systems A-F using weighted voting. Only fires when multiple ML syst	D	0	7	0	7	0.0%	-29.64%	0.00	-4.23%	+0.0%	-4.2%
ml bg system a ML Battleground System A - Filter-based ML. Applies layered filters (volume, volatility, trend) before ML prediction. Mo	D	0	19	2	17	10.5%	-49.84%	0.14	-2.62%	+4.2%	-3.4%
ml bg system b ML Battleground System B - Regime Detection. Uses Hidden Markov Model to detect market regimes (trending/ranging/volatil	D	0	19	1	17	5.3%	-54.70%	0.02	-2.88%	+1.4%	-3.3%
alpha engine fast Alpha Engine with tighter TP/SL and shorter hold periods for more frequent signals. Same proven strategies, faster exits	D	0	300	100	120	44.2%	-132.31%	0.60	-0.59%	+2.0%	-2.8%
mercury2 fast Mercury2 fast variant with shorter timeframes. WARNING: Has shown broken entry prices ($1M+) - on probation.	D	0	27	3	4	42.9%	-139.53%	0.07	-19.93%	+3.5%	-37.5%

3. Strategy Breakdown — Top 30 by Active Picks

Each strategy may run across multiple systems. Forward WR/PF/Trades reflect live forward-testing performance. BT = backtest.

Strategy	Active	Directions	Symbols	BT WR	FWD WR	FWD Trades	FWD PF	Conf	R:R	Avg PnL	Health
super signal (strong) via ml_crypto_pred	5	LONG:5	ATOM, ETC, SEI, W, ZK	n/a	51.6%	31	0.00	0.82	1.5	+0.64%	None:5
st_fear_greed_contrarian	2	LONG:2	ARB, DOT	53.0%	68.0%	490	3.12	0.69	2.0	+0.20%	healthy:2
ema-ribbon-momentum-scout	2	LONG:2	DOT-USD, INJ-USD	n/a	75.0%	16	3.51	0.68	1.5	+0.44%	healthy:2
super signal (super) via ml_crypto_pred	1	LONG:1	SUI	n/a	51.6%	31	0.00	0.84	1.5	+0.52%	None:1
drawdown_recovery_rsi_eth	1	LONG:1	ETH	50.0%	62.9%	70	2.70	0.74	1.6	-0.19%	healthy:1
inverse_luxalgo_confluence	1	SHORT:1	STX	n/a	0.0%	0	0.00	0.70	2.0	-3.06%	None:1
moderate consensus (claude_gainer_st, ge	1	LONG:1	AVAX	n/a	78.3%	212	0.00	0.67	1.8	-2.39%	None:1
strong consensus (claude_gainer_st, alph	1	LONG:1	APT	n/a	78.3%	212	0.00	0.77	2.3	-0.53%	None:1
moderate consensus (ml_crypto_pred, alph	1	LONG:1	POL	n/a	78.3%	212	0.00	0.71	1.5	-1.21%	None:1
luxalgo_confluence	1	SHORT:1	XRP	85.2%	43.6%	1636	1.06	0.56	1.7	+0.02%	healthy:1
moderate consensus (incubator_gainer, ki	1	LONG:1	INJ	n/a	78.3%	212	0.00	0.67	1.5	-1.17%	None:1
kalshi_mtf_consensus	1	SHORT:1	SOL	n/a	0.0%	0	0.00	0.68	0.0	+0.00%	None:1
super signal (strong) via alpha_engine	1	LONG:1	HYPE	n/a	51.6%	31	0.00	0.82	2.0	-1.31%	None:1

3b. Strategy Logic Reference — What Each Strategy Actually Does

For an external reviewer to evaluate signal quality, they need to know the actual entry/exit rules, not just names. Strategies marked with "No documented rules" are a transparency gap.

Strategy	Active	FWD WR/Trades	Entry/Exit Logic & Parameters
super signal (strong) via ml_crypto_pred	5	52%/31t	No documented entry/exit rules. Strategy logic needs documentation.
st_fear_greed_contrarian	2	68%/490t	No documented entry/exit rules. Strategy logic needs documentation.
ema-ribbon-momentum-scout	2	75%/16t	No documented entry/exit rules. Strategy logic needs documentation.
super signal (super) via ml_crypto_pred	1	52%/31t	No documented entry/exit rules. Strategy logic needs documentation.
drawdown_recovery_rsi_eth	1	63%/70t	RSI Recovery on ETH. Entry: RSI(14)<30 after >15% drawdown from local high. ETH-specific. PROVEN: 72.7% WR, +291%. Timeframe: 4H.
inverse_luxalgo_confluence	1	0%/0t	No documented entry/exit rules. Strategy logic needs documentation.
moderate consensus (claude_gainer_st, genome_	1	78%/212t	Genetically-programmed expression tree. Buy/sell formulas evolved via GP from RSI/MACD/EMA/Volume/ATR primitives. Specific formula varies per generation.
strong consensus (claude_gainer_st, alpha_eng	1	78%/212t	No documented entry/exit rules. Strategy logic needs documentation.
moderate consensus (ml_crypto_pred, alpha_eng	1	78%/212t	No documented entry/exit rules. Strategy logic needs documentation.
luxalgo_confluence	1	44%/1636t	No documented entry/exit rules. Strategy logic needs documentation.
moderate consensus (incubator_gainer, kimi, m	1	78%/212t	No documented entry/exit rules. Strategy logic needs documentation.
kalshi_mtf_consensus	1	0%/0t	No documented entry/exit rules. Strategy logic needs documentation.
super signal (strong) via alpha_engine	1	52%/31t	No documented entry/exit rules. Strategy logic needs documentation.

Transparency gap: Many strategies lack documented entry/exit rules. This makes external review impossible for those strategies. A reviewer can only evaluate strategies where the logic is explicitly documented. Undocumented strategies should be treated as untestable black boxes.

4. Backtest vs Forward-Test Performance

Decay = BT WR − FWD WR. Positive decay means strategy performs worse live than in backtest (overfitting). Negative means it improved.

What to look for: Strategies with low decay AND sufficient forward trades (≥10) are the most trustworthy. High decay (>15%) suggests curve-fitting. Negative decay with few trades may be luck.

Strategy	System	BT WR	BT Trades	FWD WR	Decay
connors_rsi2	alpha_engine	68.5%	848	0.0%	+0.0%
vwap_mean_reversion	alpha_engine	64.6%	723	0.0%	+0.0%
rsi_extreme_reversal	alpha_engine	60.9%	110	0.0%	+0.0%
ema_crossover_trend	alpha_engine	44.7%	320	0.0%	+0.0%
macd_divergence	alpha_engine	67.6%	490	0.0%	+0.0%
supertrend	alpha_engine	54.3%	35	0.0%	+0.0%
connors_r3	alpha_engine	71.8%	749	0.0%	+0.0%
double_seven	alpha_engine	62.9%	816	0.0%	+0.0%
three_day_low	alpha_engine	64.7%	1051	0.0%	+0.0%
williams_r_oversold	alpha_engine	59.7%	454	0.0%	+0.0%
volatility_scaled	alpha_engine	66.0%	536	0.0%	+0.0%
dual_momentum	alpha_engine	49.7%	658	0.0%	+0.0%
kama_adaptive_trend	alpha_engine	26.0%	2659	0.0%	+0.0%
kama_adx_trend	alpha_engine	47.1%	635	0.0%	+0.0%
volatility_anchor_fade	alpha_engine	48.1%	489	0.0%	+0.0%
kama_pullback_continuation	alpha_engine	33.6%	426	0.0%	+0.0%
williams_pr_trend_mr	alpha_engine	50.3%	704	0.0%	+0.0%
cci_exhaustion_reversal	alpha_engine	53.8%	160	0.0%	+0.0%
donchian_adx_breakout	alpha_engine	40.8%	1225	0.0%	+0.0%
kama_slope_reversal	alpha_engine	59.5%	42	0.0%	+0.0%
volume_dryup_fade	alpha_engine	0.0%	3	0.0%	+0.0%
short_term_return_reversal	alpha_engine	44.9%	998	0.0%	+0.0%
vwap_volume_mean_reversion	alpha_engine	44.0%	1384	0.0%	+0.0%
donchian_turtle_breakout	alpha_engine	46.0%	1383	0.0%	+0.0%
triple_ma_trend	alpha_engine	48.5%	951	0.0%	+0.0%
autocorr_reversion	alpha_engine	64.3%	1054	0.0%	+0.0%
coinglass_funding_confluence	coinglass	0.0%	0	0.0%	+0.0%
coinglass_leverage_squeeze	coinglass	0.0%	0	0.0%	+0.0%
coinglass_ratio_momentum	coinglass	0.0%	0	0.0%	+0.0%
coinglass_sentiment_composite	coinglass	0.0%	0	0.0%	+0.0%
coinglass_whale_divergence	coinglass	0.0%	0	0.0%	+0.0%

5. Daily Pick Volume — Last 7 Days

How many crypto signals are being generated each day? Is the system too aggressive or too conservative?

Date	Picks	Directions	Top Symbols	Top Systems
2026-05-25	10	LONG:8, SHORT:2	SUI(1), ETH(1), STX(1), ATOM(1), ZK(1)	super_signals(7), fc_crypto_pro(1), inverse_mutations(1)
2026-05-24	6	LONG:5, SHORT:1	DOT(1), APT(1), POL(1), XRP(1), INJ(1)	aggregated_picks(3), claude_gainer_st(2), luxalgo_filters(1)
2026-05-23	1	LONG:1	AVAX(1)	aggregated_picks(1)
2026-05-21	1	LONG:1	DOT-USD(1)	riseoftheclaw(1)
2026-05-20	1	LONG:1	INJ-USD(1)	riseoftheclaw(1)

Volume Analysis: The system generates 19 crypto picks over 7 days (avg 3/day). Volume is manageable but may miss opportunities if too conservative.

6. Optimal Pick Selection — Simulated Results

If we only traded the top-scoring picks, what would performance look like? All PnL values are unrealized (positions still open).

Scoring Formula

score = (0.25 × confidence + 0.20 × min(R:R/5, 1) + 0.25 × fwd_wr + 0.15 × min(fwd_pf/3, 1) + 0.10 × min(fwd_trades/50, 1) + 0.05 × min(agreement/3, 1)) × health_multiplier

health_multiplier: healthy=1.0, degrading=0.7, other=0.5

A) Top 10 by Score

10 picks WR: 30.0% Total PnL: -4.21% (unrealized) PF: 0.43 Avg PnL: -0.42% Worst pick: -2.39% 10 symbols {'LONG': 9, 'SHORT': 1} Hold: avg 27h, max 111h Overlap: Top 20 Score: 10 shared; Top 20 Vetted (FWD WR≥55%, Trades≥10): 9 shared; Top 20 High Agreement (≥3 systems): 8 shared; Mercury Top 20 (FWD-weighted): 10 shared; Mercury Strict (FWD≥30t, WR≥55%, PF≥1.2): 3 shared; Grok Top 20 (Hard-gated + Normalized): 3 shared

Symbol	Dir	Entry	TP	SL	PnL (unreal.)	Age(h)	Conf	R:R	FWD WR	Agree	Strategy	System
DOT	LONG	1.247	1.285641909958094	1.2276790450209532	+0.48%	2h	0.69	2.0	68%	4	st_fear_greed_contrarian	claude_gainer_st
ARB	LONG	0.1053	0.10874029084514303	0.10357985457742849	-0.09%	2h	0.69	2.0	68%	3	st_fear_greed_contrarian	claude_gainer_st
ETH	LONG	2106.28	2130.1	2091.22	-0.19%	1h	0.74	1.6	63%	11	drawdown_recovery_rsi_eth	fc_crypto_pro
DOT-USD	LONG	1.2761	1.38220357	1.20536429	-1.75%	80h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
INJ-USD	LONG	4.991	5.73446446	4.49535732	+2.62%	111h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
XRP	SHORT	1.3533	1.335339	1.363914	+0.02%	2h	0.56	1.7	44%	1	luxalgo_confluence	luxalgo_filters
APT	LONG	0.95	1.026665	0.91713	-0.53%	11h	0.77	2.3	78%	3	strong consensus (claude_	aggregated_picks
AVAX	LONG	9.407	10.07317292783631	9.02632975552211	-2.39%	26h	0.67	1.8	78%	6	moderate consensus (claud	aggregated_picks
INJ	LONG	5.193	5.34879	5.08914	-1.17%	9h	0.67	1.5	78%	4	moderate consensus (incub	aggregated_picks
POL	LONG	0.09154	0.105271	0.082386	-1.21%	22h	0.71	1.5	78%	0	moderate consensus (ml_cr	aggregated_picks

B) Top 20 by Score

19 picks WR: 50.0% Total PnL: -4.88% (unrealized) PF: 0.58 Avg PnL: -0.26% Worst pick: -3.06% 19 symbols {'LONG': 16, 'SHORT': 3} Hold: avg 15h, max 111h Overlap: Top 10 Score: 10 shared; Top 20 Vetted (FWD WR≥55%, Trades≥10): 9 shared; Top 20 High Agreement (≥3 systems): 10 shared; Mercury Top 20 (FWD-weighted): 19 shared; Mercury Strict (FWD≥30t, WR≥55%, PF≥1.2): 3 shared; Grok Top 20 (Hard-gated + Normalized): 3 shared

Symbol	Dir	Entry	TP	SL	PnL (unreal.)	Age(h)	Conf	R:R	FWD WR	Agree	Strategy	System
DOT	LONG	1.247	1.285641909958094	1.2276790450209532	+0.48%	2h	0.69	2.0	68%	4	st_fear_greed_contrarian	claude_gainer_st
ARB	LONG	0.1053	0.10874029084514303	0.10357985457742849	-0.09%	2h	0.69	2.0	68%	3	st_fear_greed_contrarian	claude_gainer_st
ETH	LONG	2106.28	2130.1	2091.22	-0.19%	1h	0.74	1.6	63%	11	drawdown_recovery_rsi_eth	fc_crypto_pro
DOT-USD	LONG	1.2761	1.38220357	1.20536429	-1.75%	80h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
INJ-USD	LONG	4.991	5.73446446	4.49535732	+2.62%	111h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
XRP	SHORT	1.3533	1.335339	1.363914	+0.02%	2h	0.56	1.7	44%	1	luxalgo_confluence	luxalgo_filters
APT	LONG	0.95	1.026665	0.91713	-0.53%	11h	0.77	2.3	78%	3	strong consensus (claude_	aggregated_picks
AVAX	LONG	9.407	10.07317292783631	9.02632975552211	-2.39%	26h	0.67	1.8	78%	6	moderate consensus (claud	aggregated_picks
INJ	LONG	5.193	5.34879	5.08914	-1.17%	9h	0.67	1.5	78%	4	moderate consensus (incub	aggregated_picks
POL	LONG	0.09154	0.105271	0.082386	-1.21%	22h	0.71	1.5	78%	0	moderate consensus (ml_cr	aggregated_picks
SUI	LONG	1.0247	1.055441	1.004206	+0.52%	2h	0.84	1.5	52%	3	super signal (super) via	super_signals
HYPE	LONG	62.38999939	65.13562105	61.03405258	-1.31%	2h	0.82	2.0	52%	2	super signal (strong) via	super_signals
ATOM	LONG	2.043	2.10429	2.00214	+0.78%	2h	0.84	1.5	52%	2	super signal (strong) via	super_signals
ZK	LONG	0.01453	0.0149659	0.0142394	+0.28%	2h	0.84	1.5	52%	2	super signal (strong) via	super_signals
W	LONG	0.01202	0.0123806	0.0117796	+0.83%	2h	0.84	1.5	52%	2	super signal (strong) via	super_signals
SEI	LONG	0.06045	0.0622635	0.059241	+0.99%	2h	0.80	1.5	52%	2	super signal (strong) via	super_signals
ETC	LONG	8.863	9.12889	8.68574	+0.30%	2h	0.78	1.5	52%	1	super signal (strong) via	super_signals
STX	SHORT	0.2354	0.215446	0.245377	-3.06%	2h	0.70	2.0	0%	1	inverse_luxalgo_confluenc	inverse_mutations
SOL	SHORT	85.37999725	83.7270405	86.36979171	+0.00%	0h	0.68	0.0	0%	5	kalshi_mtf_consensus	pm_kalshi_signals

C) Top 20 Vetted Only (Forward WR ≥ 55%, Forward Trades ≥ 10)

9 picks WR: 22.2% Total PnL: -4.23% (unrealized) PF: 0.42 Avg PnL: -0.47% Worst pick: -2.39% 9 symbols {'LONG': 9} Hold: avg 29h, max 111h Overlap: Top 10 Score: 9 shared; Top 20 Score: 9 shared; Top 20 High Agreement (≥3 systems): 8 shared; Mercury Top 20 (FWD-weighted): 9 shared; Mercury Strict (FWD≥30t, WR≥55%, PF≥1.2): 3 shared; Grok Top 20 (Hard-gated + Normalized): 3 shared

Symbol	Dir	Entry	TP	SL	PnL (unreal.)	Age(h)	Conf	R:R	FWD WR	Agree	Strategy	System
DOT	LONG	1.247	1.285641909958094	1.2276790450209532	+0.48%	2h	0.69	2.0	68%	4	st_fear_greed_contrarian	claude_gainer_st
ARB	LONG	0.1053	0.10874029084514303	0.10357985457742849	-0.09%	2h	0.69	2.0	68%	3	st_fear_greed_contrarian	claude_gainer_st
ETH	LONG	2106.28	2130.1	2091.22	-0.19%	1h	0.74	1.6	63%	11	drawdown_recovery_rsi_eth	fc_crypto_pro
DOT-USD	LONG	1.2761	1.38220357	1.20536429	-1.75%	80h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
INJ-USD	LONG	4.991	5.73446446	4.49535732	+2.62%	111h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
APT	LONG	0.95	1.026665	0.91713	-0.53%	11h	0.77	2.3	78%	3	strong consensus (claude_	aggregated_picks
AVAX	LONG	9.407	10.07317292783631	9.02632975552211	-2.39%	26h	0.67	1.8	78%	6	moderate consensus (claud	aggregated_picks
INJ	LONG	5.193	5.34879	5.08914	-1.17%	9h	0.67	1.5	78%	4	moderate consensus (incub	aggregated_picks
POL	LONG	0.09154	0.105271	0.082386	-1.21%	22h	0.71	1.5	78%	0	moderate consensus (ml_cr	aggregated_picks

D) Top 20 High Agreement (≥3 systems agree)

10 picks WR: 33.3% Total PnL: -2.50% (unrealized) PF: 0.59 Avg PnL: -0.25% Worst pick: -2.39% 10 symbols {'LONG': 9, 'SHORT': 1} Hold: avg 25h, max 111h Overlap: Top 10 Score: 8 shared; Top 20 Score: 10 shared; Top 20 Vetted (FWD WR≥55%, Trades≥10): 8 shared; Mercury Top 20 (FWD-weighted): 10 shared; Mercury Strict (FWD≥30t, WR≥55%, PF≥1.2): 3 shared; Grok Top 20 (Hard-gated + Normalized): 3 shared

Symbol	Dir	Entry	TP	SL	PnL (unreal.)	Age(h)	Conf	R:R	FWD WR	Agree	Strategy	System
DOT	LONG	1.247	1.285641909958094	1.2276790450209532	+0.48%	2h	0.69	2.0	68%	4	st_fear_greed_contrarian	claude_gainer_st
ARB	LONG	0.1053	0.10874029084514303	0.10357985457742849	-0.09%	2h	0.69	2.0	68%	3	st_fear_greed_contrarian	claude_gainer_st
ETH	LONG	2106.28	2130.1	2091.22	-0.19%	1h	0.74	1.6	63%	11	drawdown_recovery_rsi_eth	fc_crypto_pro
DOT-USD	LONG	1.2761	1.38220357	1.20536429	-1.75%	80h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
INJ-USD	LONG	4.991	5.73446446	4.49535732	+2.62%	111h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
APT	LONG	0.95	1.026665	0.91713	-0.53%	11h	0.77	2.3	78%	3	strong consensus (claude_	aggregated_picks
AVAX	LONG	9.407	10.07317292783631	9.02632975552211	-2.39%	26h	0.67	1.8	78%	6	moderate consensus (claud	aggregated_picks
INJ	LONG	5.193	5.34879	5.08914	-1.17%	9h	0.67	1.5	78%	4	moderate consensus (incub	aggregated_picks
SUI	LONG	1.0247	1.055441	1.004206	+0.52%	2h	0.84	1.5	52%	3	super signal (super) via	super_signals
SOL	SHORT	85.37999725	83.7270405	86.36979171	+0.00%	0h	0.68	0.0	0%	5	kalshi_mtf_consensus	pm_kalshi_signals

E) Mercury AI Recommended Scoring (FWD-weighted)

mercury_score = 0.30 × fwd_wr + 0.25 × min(fwd_pf/3, 1) + 0.20 × confidence + 0.15 × min(agreement/3, 1) + 0.10 × trust_tier_score

trust_tier_score: PROVEN=1.0, SANDBOX=0.5, DEMOTED=0.3, PROBATION=0.2
Key change: FWD WR weight increased from 0.25→0.30, R:R removed, trust tier added
      

19 picks WR: 50.0% Total PnL: -4.88% (unrealized) PF: 0.58 Avg PnL: -0.26% Worst pick: -3.06% 19 symbols {'LONG': 16, 'SHORT': 3} Hold: avg 15h, max 111h Overlap: Top 10 Score: 10 shared; Top 20 Score: 19 shared; Top 20 Vetted (FWD WR≥55%, Trades≥10): 9 shared; Top 20 High Agreement (≥3 systems): 10 shared; Mercury Strict (FWD≥30t, WR≥55%, PF≥1.2): 3 shared; Grok Top 20 (Hard-gated + Normalized): 3 shared

Symbol	Dir	Entry	TP	SL	PnL (unreal.)	Age(h)	Conf	R:R	FWD WR	Agree	Strategy	System
DOT	LONG	1.247	1.285641909958094	1.2276790450209532	+0.48%	2h	0.69	2.0	68%	4	st_fear_greed_contrarian	claude_gainer_st
ARB	LONG	0.1053	0.10874029084514303	0.10357985457742849	-0.09%	2h	0.69	2.0	68%	3	st_fear_greed_contrarian	claude_gainer_st
DOT-USD	LONG	1.2761	1.38220357	1.20536429	-1.75%	80h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
INJ-USD	LONG	4.991	5.73446446	4.49535732	+2.62%	111h	0.68	1.5	75%	4	ema-ribbon-momentum-scout	riseoftheclaw
ETH	LONG	2106.28	2130.1	2091.22	-0.19%	1h	0.74	1.6	63%	11	drawdown_recovery_rsi_eth	fc_crypto_pro
APT	LONG	0.95	1.026665	0.91713	-0.53%	11h	0.77	2.3	78%	3	strong consensus (claude_	aggregated_picks
AVAX	LONG	9.407	10.07317292783631	9.02632975552211	-2.39%	26h	0.67	1.8	78%	6	moderate consensus (claud	aggregated_picks
INJ	LONG	5.193	5.34879	5.08914	-1.17%	9h	0.67	1.5	78%	4	moderate consensus (incub	aggregated_picks
SUI	LONG	1.0247	1.055441	1.004206	+0.52%	2h	0.84	1.5	52%	3	super signal (super) via	super_signals
ATOM	LONG	2.043	2.10429	2.00214	+0.78%	2h	0.84	1.5	52%	2	super signal (strong) via	super_signals
ZK	LONG	0.01453	0.0149659	0.0142394	+0.28%	2h	0.84	1.5	52%	2	super signal (strong) via	super_signals
W	LONG	0.01202	0.0123806	0.0117796	+0.83%	2h	0.84	1.5	52%	2	super signal (strong) via	super_signals
HYPE	LONG	62.38999939	65.13562105	61.03405258	-1.31%	2h	0.82	2.0	52%	2	super signal (strong) via	super_signals
SEI	LONG	0.06045	0.0622635	0.059241	+0.99%	2h	0.80	1.5	52%	2	super signal (strong) via	super_signals
XRP	SHORT	1.3533	1.335339	1.363914	+0.02%	2h	0.56	1.7	44%	1	luxalgo_confluence	luxalgo_filters
POL	LONG	0.09154	0.105271	0.082386	-1.21%	22h	0.71	1.5	78%	0	moderate consensus (ml_cr	aggregated_picks
ETC	LONG	8.863	9.12889	8.68574	+0.30%	2h	0.78	1.5	52%	1	super signal (strong) via	super_signals
SOL	SHORT	85.37999725	83.7270405	86.36979171	+0.00%	0h	0.68	0.0	0%	5	kalshi_mtf_consensus	pm_kalshi_signals
STX	SHORT	0.2354	0.215446	0.245377	-3.06%	2h	0.70	2.0	0%	1	inverse_luxalgo_confluenc	inverse_mutations

F) Mercury Strict Filter (FWD Trades≥30, WR≥55%, PF≥1.2)

Only strategies with substantial forward validation and proven profitability. This is the most conservative filter.

3 picks WR: 33.3% Total PnL: +0.20% (unrealized) PF: 1.71 Avg PnL: +0.07% Worst pick: -0.19% 3 symbols {'LONG': 3} Hold: avg 2h, max 2h Overlap: Top 10 Score: 3 shared; Top 20 Score: 3 shared; Top 20 Vetted (FWD WR≥55%, Trades≥10): 3 shared; Top 20 High Agreement (≥3 systems): 3 shared; Mercury Top 20 (FWD-weighted): 3 shared; Grok Top 20 (Hard-gated + Normalized): 3 shared

Symbol	Dir	Entry	TP	SL	PnL (unreal.)	Age(h)	Conf	R:R	FWD WR	Agree	Strategy	System
DOT	LONG	1.247	1.285641909958094	1.2276790450209532	+0.48%	2h	0.69	2.0	68%	4	st_fear_greed_contrarian	claude_gainer_st
ARB	LONG	0.1053	0.10874029084514303	0.10357985457742849	-0.09%	2h	0.69	2.0	68%	3	st_fear_greed_contrarian	claude_gainer_st
ETH	LONG	2106.28	2130.1	2091.22	-0.19%	1h	0.74	1.6	63%	11	drawdown_recovery_rsi_eth	fc_crypto_pro

G) Grok Hard-Gated + Normalized Scoring

HARD GATE (score=0 if ANY fail): fwd_trades < 30, fwd_wr < 55%, fwd_pf < 1.2, decay > 15%

normalized_wr = min(1.0, (fwd_wr - 0.45) / 0.55)
normalized_pf = min(1.0, (fwd_pf - 1.0) / 2.0)
score = 0.30 × norm_wr + 0.25 × norm_pf + 0.20 × confidence + 0.15 × (agreement/max) + 0.10 × trust

55% weight on proven forward metrics. Zero tolerance for unvalidated strategies.
      

Symbol	Dir	Entry	TP	SL	PnL (unreal.)	Age(h)	Conf	R:R	FWD WR	Agree	Strategy	System
DOT	LONG	1.247	1.285641909958094	1.2276790450209532	+0.48%	2h	0.69	2.0	68%	4	st_fear_greed_contrarian	claude_gainer_st
ETH	LONG	2106.28	2130.1	2091.22	-0.19%	1h	0.74	1.6	63%	11	drawdown_recovery_rsi_eth	fc_crypto_pro
ARB	LONG	0.1053	0.10874029084514303	0.10357985457742849	-0.09%	2h	0.69	2.0	68%	3	st_fear_greed_contrarian	claude_gainer_st

Important Caveats

All PnL values above are UNREALIZED — these positions are still open and can reverse at any time. An unrealized total PnL is NOT a valid measure of strategy quality. These snapshots change every few minutes.

Portfolio overlap: The four portfolios above are NOT independent — they share many of the same picks (same high-scoring picks appear in multiple selection methods). Do not treat them as independent validation.

No benchmark: Without comparing to a simple BTC buy-and-hold or a 60/40 crypto index over the same period, it is impossible to know if these picks add alpha or are just riding market beta.

Scoring Formula Limitations

Reviewers should note:
• Confidence is uncalibrated — a 0.8 confidence score does NOT mean 80%% probability of profit. Each system generates its own scale.
• Agreement caps at 3 — the formula uses min(agreement/3, 1), so 3-system and 23-system agreement score identically. This may underweight strong consensus.
• Forward WR dominates at 25%% weight, but most strategies have 0 forward trades, making this component 0 for the majority of picks.
• No historical backtest of the formula itself — we have not validated whether this scoring formula would have selected winners in the past.

Recommendation for reviewers: Compare portfolios A-D. Which filtering criteria produces the best risk-adjusted returns? If vetted picks (C) outperform raw score (A), the system should raise minimum forward-trade thresholds. If agreement picks (D) outperform, cross-system consensus is more valuable than individual strategy metrics.

7. Strategy Leaderboard — Top 30 by Forward PnL

Strategies ranked by actual forward-testing profit. Only strategies with ≥3 forward trades shown.

Strategy	Systems	BT WR	FWD WR	FWD Trades	FWD PnL	Decay
st_fear_greed_contrarian	claude_gainer_st	0.0%	68.0%	490	+531.28%	-68.0%
st_fear_greed_contrarian	aggregated_picks, claude_gainer_st	0.0%	67.8%	491	+529.69%	-67.8%
AuditEnsemble_LONG	aggregated_picks	0.0%	100.0%	97	+305.33%	-100.0%
AuditEnsemble_LONG	aggregated_picks	0.0%	100.0%	97	+305.33%	-100.0%
mega_mutation_macd_rsi_m048	mega_mutation	0.0%	64.0%	100	+291.57%	-64.0%
mega_mutation_macd_rsi_m048	mega_mutation	0.0%	64.0%	100	+291.57%	-64.0%
luxalgo_confluence	alpha_engine, luxalgo_filters	0.0%	44.2%	1659	+194.04%	-44.2%
Multi-Timeframe Trend Alignment	aggregated_picks	0.0%	95.0%	40	+129.61%	-95.0%
Multi-Timeframe Trend Alignment	aggregated_picks	0.0%	95.0%	40	+129.61%	-95.0%
luxalgo_confluence	luxalgo_filters	0.0%	43.6%	1636	+120.70%	-43.6%
unknown	quan_engine	0.0%	36.6%	421	+117.72%	-36.6%
donchian-stock-breakout	kimi_competition, kimi_riseoftheclaw	0.0%	78.6%	14	+87.45%	-78.6%
donchian-stock-breakout	kimi_riseoftheclaw	0.0%	78.6%	14	+87.45%	-78.6%
unknown	kimi_riseoftheclaw, kimi_signal_tracking, ml_crypto_pred	0.0%	38.3%	658	+83.15%	-38.3%
claude_gainer_4h	claude_gainer	0.0%	56.2%	32	+80.21%	-56.2%
claude_gainer_4h	claude_gainer	0.0%	56.2%	32	+80.21%	-56.2%
rs-breakout-scout	kimi_competition, kimi_riseoftheclaw	0.0%	70.0%	40	+77.35%	-70.0%
rs-breakout-scout	kimi_riseoftheclaw	0.0%	70.0%	40	+77.35%	-70.0%
luxalgo_confluence	alpha_engine	0.0%	82.6%	23	+73.33%	-82.6%
claude_ml_moderate_mut	alpha_engine, dna_winner_picks	0.0%	56.5%	92	+66.35%	-56.5%
claude_ml_moderate_mut	dna_winner_picks	0.0%	56.2%	80	+65.29%	-56.2%
Bollinger MR	stocks_competition	0.0%	51.2%	82	+59.76%	-51.2%
gap-and-go-stocks	kimi_competition, kimi_riseoftheclaw	0.0%	66.7%	9	+57.15%	-66.7%
gap-and-go-stocks	kimi_riseoftheclaw	0.0%	66.7%	9	+57.15%	-66.7%
strong consensus (alpha_engine, qua	super_signals	0.0%	60.0%	5	+55.58%	-60.0%
strong consensus (alpha_engine, qua	super_signals	0.0%	60.0%	5	+55.58%	-60.0%
VWAP Deviation Scalp	aggregated_picks	0.0%	81.8%	22	+55.00%	-81.8%
VWAP Deviation Scalp	aggregated_picks	0.0%	81.8%	22	+55.00%	-81.8%
Bollinger MR	fast_stocks_competition, stocks_competition	0.0%	50.0%	84	+53.76%	-50.0%
extreme_fear	ml_bg_system_f	0.0%	48.2%	168	+53.41%	-48.2%

8. Questions for AI / Human Reviewers

Q1: Signal Volume

We generate 100-1000+ crypto signals per day across 75 systems. Is this creating too much noise? Should we enforce a hard cap (e.g., max 20 picks/day) based on score ranking?

Q2: Entry Quality

Our avg loss (-19.88%) exceeds avg win (+17.78%). Should we tighten stop-losses, widen take-profits, or implement trailing stops to improve the win/loss ratio?

Q3: Strategy Pruning

Many strategies have <5 forward trades. Should we require a minimum forward trade count (e.g., 20) before allowing a strategy to generate live signals?

Q4: Backtest Decay

Several strategies show 30-50% decay from backtest to forward test. At what decay threshold should we auto-demote or disable a strategy?

Q5: Optimal Filtering

Based on the simulated portfolios in Section 6, which selection criteria (score, vetted, agreement) produces the best risk-adjusted outcome? What filter thresholds would you recommend?

Q6: Position Sizing

Currently all picks are equal-weighted. Should we size positions based on confidence score, R:R ratio, system trust tier, or forward validation strength?

Q7: What's Actually Working?

Looking at the leaderboard (Section 7) and system grades (Section 2), which 3-5 strategies or systems show genuine edge that we should double down on?

9. Mercury AI Recommendations (External Review)

These recommendations were provided by an external AI reviewer (Mercury) after analyzing the full blueprint. They represent actionable improvements prioritized by impact.

Top 5 Strategies to Scale

#	Strategy	Why Scale	Action
1	crypto_rsi_whaleconfirmed_v1	FWD WR 67%, PF 2.1+ — combines RSI with on-chain whale confirmation	Increase position size, add to PROVEN tier
2	funding_momentum	Exploits funding rate trends — unique edge not in standard TA	Extend to more perpetual pairs
3	crypto_keltner_compression_expansion	Volatility squeeze breakout — well-understood mechanics	Add multi-timeframe confirmation
4	crypto_vwap_deviation_reversion_vol	Mean reversion to VWAP with volume filter — institutional flow signal	Tighten entry window, reduce max hold time
5	crypto_kalman_trend_residual_reversion	Kalman filter trend + residual reversion — adaptive to regime changes	Validate with walk-forward optimization

Recommended Filtering Thresholds

Minimum requirements before a strategy generates live signals:
• ≥30 forward trades (current: many strategies have <5)
• FWD WR ≥ 55% (current: no minimum enforced)
• FWD PF ≥ 1.2 (current: no minimum enforced)
• BT→FWD Decay ≤ 10% (current: some strategies show 30-50% decay)

Impact: This would dramatically reduce signal noise by disabling unproven strategies while preserving strategies with genuine edge.

Position Sizing Recommendations

Tier	Allocation	Criteria
Core (60%)	3-5% per pick	PROVEN systems, FWD WR≥60%, PF≥1.5, ≥50 trades
Satellite (30%)	1-2% per pick	SANDBOX with FWD WR≥55%, PF≥1.2, ≥30 trades
Experimental (10%)	0.5% per pick	New strategies, genetic mutations, <30 trades

Scoring Formula Restructure

CURRENT:  0.25×conf + 0.20×R:R + 0.25×fwd_wr + 0.15×fwd_pf + 0.10×trades + 0.05×agreement
PROPOSED: 0.30×fwd_wr + 0.25×fwd_pf + 0.20×conf + 0.15×agreement + 0.10×trust_tier

Key changes:
  - FWD WR increased 0.25→0.30 (most predictive metric)
  - R:R removed (redundant with PF, can be gamed by wide targets)
  - Trust tier added at 0.10 (rewards battle-tested systems)
  - Agreement increased 0.05→0.15 (cross-system consensus is strong signal)
      

Priority Action Items

Immediate (this week):
1. Implement hard gates in scanner: zero score if fwd_trades<30, fwd_wr<55%, fwd_pf<1.2, decay>15%
2. Cap daily signals at 20 via top-score selection (cuts ~90% noise)
3. Implement kill criteria for grade-F systems (see Section 0)
4. Add trailing stop at 70% R:R target — tighten SL to min(ATR×0.5×R:R, entry×0.005)

Short-term (2 weeks):
5. Switch to Grok normalized scoring (compare Portfolio G vs E vs A-D)
6. Implement tiered position sizing: position_size = min(0.05, (score×R:R) / sum_scores)
7. Add BTC buy-and-hold benchmark comparison to all portfolio sims
8. Adjust all PnL metrics -0.40% round-trip to account for exchange fees

Medium-term (1 month):
9. Walk-forward optimization for top 5 strategies
10. Add realized PnL tracking (currently all PnL is unrealized)
11. Build correlation check: prune_correlated_picks to avoid concentrated bets
12. Build a proper backtest of the scoring formula itself on historical picks

Confirmed Red Flags (3/3 AI Reviewers Agree)

• ~86%% of active picks come from Grade F systems (Codex finding) — the system is feeding mostly unvalidated noise into portfolios.
• Over-reliance on unvetted ML/genetic systems — high decay rates indicate overfitting. Most should be killed or sandboxed.
• Missing fees in PnL calculation — all metrics should subtract -0.40%% round-trip (0.10%% taker × 2 sides + ~0.05%% slippage × 2).
• No correlation checks — multiple picks on the same asset/direction from different systems create concentrated risk.
• Duplicate stacking — multiple systems bet same symbol+direction, treated as independent alpha when it's concentrated risk.
• Revival_Mutated_* strategies should be blocked from live capital entirely (paper-only until validated).
• Confidence is double-counted with FWD WR (they correlate, weighting both inflates scores).
• Data integrity: closed ≠ wins + losses in some systems — phantom/unresolved trades exist.

Projected impact of implementing filters + scoring: +15-25%% expectancy boost within 30 days.

Codex (GPT-5.3) Additional Recommendations

2-Stage Scoring (replaces single formula):
Stage 1 — Hard Pass/Fail Gate:
• fwd_trades ≥ 50 (strictest threshold across all reviewers)
• fwd_pf_net ≥ 1.15 (after fees)
• net expectancy > 0
• health = healthy
• NOT Revival_Mutated_*
• Grade A/B only (C on strict probation)

Stage 2 — Rank by uncertainty-adjusted net expectancy (not raw WR):
• Use expectancy = (WR × avg_win) − ((1−WR) × avg_loss) − round_trip_cost
• Penalize low sample size with uncertainty factor: expectancy × (1 − 1/sqrt(trades))
• One position per symbol+direction (no duplicate stacking)

Best portfolio method: D (High Agreement) + deduplication + vetting gate
Kill criteria: Probation at rolling-20 PF < 0.9; Kill at rolling-50 PF < 0.95 or decay > 15pp

10. Forex & Futures — Active Picks

Non-crypto picks from forex (7 strategies) and index futures (Connors RSI-2, TOM). These extend proven equity strategies to 24/5 markets.

Forex Picks

Futures Picks

Total Active

Unique Symbols

Strategies

BUY Signals

SELL Signals

Market Hours:
Forex: 24/5 — Sunday 5 PM ET to Friday 5 PM ET (continuous)
Futures (ES, NQ): Sunday 6 PM ET to Friday 5 PM ET (with daily halt 5-6 PM ET)

Key Strategies:
Connors RSI-2 on ES=F/NQ=F: Extends our most proven strategy (75.7% WR on SPY, p=6e-6) to futures. ES/NQ track SPY/QQQ with near-perfect correlation but trade extended hours.
Turn-of-Month on ES=F/NQ=F: Lakonishok & Smidt (1988) TOM effect applies equally to index futures.
Forex: 7 strategies including carry trade, mean reversion, JPY risk-off, DXY correlation, BB squeeze, session momentum, and DXY RSI fade.

Active Picks (10 total)

Symbol	Class	Signal	Entry	TP	SL	Conf	R:R	PnL	Hold	Strategy	Reason
USDJPY=X	FOREX	LONG	159.155	159.950775	158.677535	0.95	1.0	-0.00%	0d	regime_accumulation
GBPUSD=X	FOREX	SHORT	1.3433	1.30554655	1.37243886	0.95	1.3	-0.00%	0d	regime_mild_bear
USDCAD=X	FOREX	SELL	1.3801	1.375244	1.383985	0.67	1.2	+0.00%	0d	ig_contrarian_sentiment	IG/DailyFX contrarian: RSI(14)=83>60 + price above 50 SMA; Retail likely LONG =>
USDJPY=X	FOREX	SELL	158.891006	158.086143	159.534897	0.63	1.2	+0.00%	0d	ig_contrarian_sentiment	IG/DailyFX contrarian: RSI(14)=69>60 + price above 50 SMA; Retail likely LONG =>
GBPUSD=X	FOREX	BUY	1.348181	1.352226	1.345485	0.66	1.5	+0.00%	0d	cta_cross_asset_tsmom	Cross-Asset TSMOM: own 1m=+0.1% (signal=+1), cross=Risk sentiment SPY 1m=+5.2%.
NZDUSD=X	FOREX	BUY	0.58782	0.589584	0.586645	0.66	1.5	+0.00%	0d	cta_cross_asset_tsmom	Cross-Asset TSMOM: own 1m=+0.4% (signal=+1), cross=Risk sentiment SPY 1m=+5.2%.
USDJPY=X	FOREX	SELL	158.878998	158.402361	159.196756	0.62	1.5	+0.00%	0d	cta_cross_asset_tsmom	Cross-Asset TSMOM: own 1m=-0.5% (signal=-1), cross=Risk sentiment SPY 1m=+5.2%.
EURJPY=X	FOREX	SELL	184.998001	183.91757	185.83083307	0.62	1.3	+0.00%	0d	combined_confidence	Combined Confidence: CS=0.62 (MEDIUM), TE=0.50 (WR=75.0%, 0 trades), MP=0.75; si
GBPJPY=X	FOREX	SELL	214.229004	212.515172	215.21981313	0.62	1.7	+0.00%	0d	combined_confidence	Combined Confidence: CS=0.62 (MEDIUM), TE=0.50 (WR=75.0%, 0 trades), MP=0.75; si
AUDJPY=X	FOREX	SELL	113.736	112.826112	114.262029	0.62	1.7	+0.00%	0d	combined_confidence	Combined Confidence: CS=0.62 (MEDIUM), TE=0.50 (WR=75.0%, 0 trades), MP=0.75; si