🎯 KIMI Rise of the Claw

Algorithmic Trading Research & Live Competition

March 3, 2026

🧬 4 New Strategies + Smarter Scoring Engine — DEPLOYED

March 16, 2026 - STRATEGY RELEASE

🎯 What Changed

Deployed 4 new research-backed strategies and enhanced the scoring engine to produce higher-quality picks with better signal filtering.

Source: Kimi Agent strategy research + independent academic research on VPIN, liquidation mechanics, and pairs arbitrage.

📊 New Strategies

Strategy Category Expected Win Rate Status
VWAP-RSI Institutional Intraday Mean Reversion 65-72% ✅ Live
Liquidation Cascade Contrarian Structural / Wick Recovery 58-65%, R:R 1:2+ ✅ Live
Regime Sentinel Composite Meta-Filter (All Strategies) +10-15% WR boost ✅ Live
RSI Pairs Arbitrage Market-Neutral Stat-Arb 70-78% ✅ Live

⚡ Scoring Engine Upgrades

Component Before After
Confluence Scoring Flat: 2 strats → 10pts, 3+ → 15pts Graduated: 2→8, 3→12, 4→14, 5+→15 + diversity bonus
Regime Compatibility Binary: compatible = 5pts or 0 Directional: BUY in ACCUMULATION = 5pts, counter-regime = 0
Strategy Type Diversity Not tracked +3 bonus for mix of TA + statistical + structural

🔍 Where You'll See the Benefits

  • Audit Dashboard — New strategies appear in the Strategy Logic Reference section with full entry/exit rules. Picks from these strategies will show up in the active picks table within 24h.
  • Audit → Score Breakdown — Elite score tooltips now show improved confluence (graduated scale) and regime-aware scoring. Higher scores = more reliable picks.
  • Genome Tracker — New strategies enter as SANDBOX tier for 30-day paper trading. They graduate to PROVEN after demonstrating >55% WR on 15+ trades.
  • Picks Pipeline (Discord/API) — The Regime Sentinel meta-filter will reduce noise by penalizing counter-regime picks (e.g., BUY signals during MARKDOWN). Expect fewer but higher-quality signals.
  • Blueprint Analysis — All 4 strategies now appear in the blueprint's Strategy Logic Reference with documented entry rules, expected performance, and category labels.

📈 Expected Impact Timeline

Timeframe Milestone Status
Day 1 (Now) Strategies deployed, generating picks as SANDBOX tier ✅ Done
Week 1-2 Regime Sentinel starts filtering counter-regime noise 🟡 Monitoring
Week 2-4 First forward-test results visible in audit dashboard 🟡 Pending
Month 2+ Strategies with >55% WR graduate to PROVEN tier 🟡 Pending

🚨 Discord Feedback Critical Fixes - Quick Wins DEPLOYED

March 3, 2026 - HOTFIX RELEASE

⚠️ Problems Identified (from #crypto-automation)

  • Win Rate: 48% (target: 55%+)
  • Realized P&L: -1.2% (losing money)
  • Max Unrealized DD: -18% (target: -15%)
  • All-Long Bias: 0% short exposure
  • Static TP/SL: Flat 5% regardless of volatility
  • Static Confidence: Always "VERY HIGH"

✅ 7 Quick Wins IMPLEMENTED

Fix Before After Status
TP/SL Scaling Static 5% flat ATR-based (1.5x ATR stop) ✅ Live
Confidence Always "VERY HIGH" Model + regime weighted ✅ Live
Position Sizing None / fixed Kelly-fraction (capped 2%) ✅ Live
Deduplication 4-hour cooldown 5-minute cooldown ✅ Live
Order Expiry None 15-minute auto-expiry ✅ Live
Short Filter 0% short exposure Regime-based shorts ✅ Live
Safety Gates Basic Confidence + regime + VaR ✅ Live

🔧 Technical Implementation

New Functions in send_top_picks_now.py:

  • _compute_atr() - 14-period Average True Range
  • _compute_dynamic_tp_sl() - Volatility-scaled TP/SL
  • _compute_kelly_size() - Kelly fraction sizing
  • expires_at - 15-minute order expiry

New in picks_router.py:

  • _should_allow_short() - Short-side validation
  • Regime check: Only TRENDING_DOWN/CRASH for shorts
  • Confidence < 0.35 for short signals
  • F&G > 10 to avoid short squeeze

📊 Fund-Grade Targets (Monitoring)

Metric Current Target Status
Win Rate 48% 55%+ 🟡 Monitoring
Sharpe 0.8 1.2+ 🟡 Monitoring
Max DD -18% -15% 🟡 Monitoring
Short Exposure 0% 20-40% ✅ Implemented

📄 Full Action Plan Documentation

🏦 Hedge-Fund-Grade Crypto Strategy Suite v1.0 - IMPLEMENTED

March 3, 2026 - MAJOR RELEASE

🎯 Three Institutional-Grade Strategies Now Production-Ready

Complete implementation of hedge-fund-grade trading strategies with full integration into alpha_engine and signal_aggregator infrastructure.

7 new modules, 3 utility modules, comprehensive documentation

📊 Strategy 1: Regime-Aware Trend-Following

Component Technology Status
HMM Regime Detector Gaussian HMM (CRASH/RANGE/TREND states) ✅ Implemented
LightGBM Ensemble 3 regime-specific models + Optuna tuning ✅ Implemented
Probability Calibration Isotonic Regression ✅ Implemented
Targets 55-60% WR, PF≥1.8, Sharpe≥1.2 🟡 Awaiting validation

📈 Strategy 2: Cross-Asset Macro-Alpha

Component Technology Status
Ridge Regression L2-regularized factor model ✅ Implemented
Kalman Filter Adaptive coefficient updating ✅ Implemented
Long-Short Basket Top/bottom 10% by residual alpha ✅ Implemented
Risk Parity Inverse-volatility weighting ✅ Implemented
Targets 55-60% WR, PF 2.0-2.5, Sharpe 1.5-2.0 🟡 Awaiting validation

⚡ Strategy 3: High-Frequency Mean-Reversion

Component Technology Status
Orderbook Collector 1-second snapshots, top-10 levels ✅ Implemented
Imbalance Metrics Volume & weighted imbalance, depth ratio ✅ Implemented
Logistic Model L1-regularized — logistic_microstructure.py ✅ Implemented
PPO Policy Limit vs market optimization — deferred (needs RL framework) 🟡 Deferred
Targets 45-50% WR, PF 1.5-2.0, Sharpe 1.5-2.0 🟡 Awaiting validation

🏗️ Infrastructure Components

Data Ingestion Layer:

  • market_ohlcv.py - Binance OHLCV with multi-timeframe support
  • orderbook_depth.py - High-frequency micro-structure collection
  • macro_factors.py - CoinGecko, Fear & Greed, Google Trends

Storage Utilities:

  • storage.py - Parquet read/write with partitioning
  • timeframes.py - Resampling, alignment, trading sessions

📋 Planned Changes (v1.1 - v1.5)

Version Feature Priority
v1.1 L1 logistic regression for micro-strategy — logistic_microstructure.py ✅ DONE
v1.1 PPO policy training — deferred (needs Stable-Baselines3 + custom gym env) DEFERRED
v1.1 Real-time limit order placement — deferred (needs WebSocket exchange API) DEFERRED
v1.2 Portfolio-level Kelly sizing + per-symbol VaR — position_sizer.py ✅ DONE
v1.2 Liquidity guard (orderbook depth checks) — liquidity_guard.py ✅ DONE
v1.3 MLflow-style model registry + automated retraining MEDIUM
v1.4 Deribit options data + Twitter sentiment pipeline MEDIUM
v1.5 Meta-ensemble with Sharpe-weighted blending — meta_ensemble.py ✅ DONE

📄 View Full Documentation (Markdown)

🔬 Google Antigravity + Predictions + 220 Strategies

February 26, 2026

🧪 Google Antigravity Strategies

20 institutional-grade quantitative strategies added to incubator.

Advanced techniques: GARCH, wavelets, fractals, spectral analysis, tail risk modeling.

Strategy # Technique Type
201 Garman-Klass Vol Breakout Volatility
202 Fractal Dimension Regime Regime Detection
203 Liquidation Cascade Detector Event Detection
204-220 See full inventory for all 20 strategies

✅ All 20 support LONG + SHORT with dynamic regime detection

🎯 Crypto Predictions Tracker

Live tracking of analyst predictions with strict tier system and audit trails.

Features: Entry/TP/SL levels, source verification, performance tracking

Source Status Predictions
TradingView ✅ Active 29 predictions
Twitter/X 🟡 Pending API 0 (scraping blocked)
Reddit 🟡 Configured 0
Analysts ✅ 20 Seeded Tracking active

Strategy Incubator Update

200 New Strategies integrated from batch download

✅ 174 Active 🅿️ 46 Parked

Active: OHLCV-only strategies ready for backtesting

Parked: Require on-chain/L2/specialized data feeds

📊 View Predictions Dashboard

🍼 SUPERPOWERS ARENA - Baby Strat Incubator LIVE

February 27, 2026

🚀 Multi-AI Strategy Incubator Now Live

Introducing the Baby Strat Incubator - a 3-panel battleground dashboard where AI agents create, test, and deploy trading strategies.

Dashboard Panels:

Panel What It Shows Status
Panel 1: Systems A-E 5 proven ML trading systems competing ✅ LIVE
Panel 2: Baby Incubator 🍼 New strategies in 30-day paper trading ✅ ACTIVE
Panel 3: Graduated 🎓 Live strategies with backtest vs forward comparison 🟡 READY

First Baby Strategy:

Strategy: crypto_rsi_whaleconfirmed_v1

Creator: cursor_ai

Type: RSI Mean Reversion + Whale Confirmation

Status: 🟡 Backtest pending → Paper trading

🎯 View SUPERPOWERS ARENA Dashboard

📖 Documentation | 🔧 Technical Design | 📋 Strategy Inventory

📊 Research Overview

We deployed 21 agents across YouTube, Reddit, Discord, and Twitter/X to find proven trading strategies and verify them against real market data.

Platform Traders Found Verified Key Finding
Reddit 10 4 Best platform for verified traders
YouTube 10 1 Only Fabio Valentini has audited results
Discord 0 0 Transparency problem - no verification
Twitter/X 0 0 API limitations prevent verification

🏆 Top Verified Traders

Tier 1: Highly Credible

Trader Platform Strategy Returns Evidence
u/DevFuturesTrader Reddit ES/NQ Mean Reversion $103,750 YTD Detailed P&L
u/heyredditaddict Reddit SPY Theta Selling 31.7% vs SPY 19.4% Benchmark comparison
u/No-Instruction-1234 Reddit XAUUSD/USDJPY Breakout 104% over 3 years Multi-year track record
Fabio Valentini YouTube Order Flow 218% Only audited competition winner

✅ Viable Strategies

Scalping (After Realistic Costs)

Strategy Asset Profit Factor Sharpe Status
News-Based AAPL 2.66 3.60 EXCELLENT
Momentum EMA+RSI SPY 1.98 2.59 GOOD
VWAP AAPL 1.58 1.85 VIABLE
Bollinger Band All 0.8-0.9 Negative FAILS
Support/Resistance All 0.7-0.8 Negative FAILS

Crypto & Forex

Strategy Capital Monthly Return Risk Level
Funding Rate Arbitrage $5,000 5-15% Very Low
Asian Range Scalping $500 10-20% Low
Volatility Breakout $2,000 15-30% Medium

🏆 2-HOUR STRATEGY CHALLENGE

Live competition between our top 4 strategies

News_Scalping_AAPL
Volume + momentum (PF 2.66)
Momentum_EMA_SPY
EMA+RSI trend (PF 1.98)
VWAP_Scalping_AAPL
Mean reversion (PF 1.58)
Funding_Arbitrage
Delta-neutral (5-15% annually)
⏱️ 2 Hours 💰 $10K Each 🎯 2% Risk/Trade 🏆 Highest P&L Wins

🤖 Live Spike Trading System

We've deployed an autonomous trading system that:

🎯 Goal: Collect 1,000+ signals for statistical validation with bootstrap confidence intervals, Sharpe ratio calculation, and win rate analysis.

🎯 Key Insights

What Actually Works

The Brutal Truth

❌ 78% of strategies fail ✅ Only 22% are viable 💸 Commission: 573% of profits 📉 YouTube claims: 70-80% → Actual: 45.4%

🚀 What's Next

  1. Complete 2-hour challenge - See which strategy wins
  2. Collect 1,000+ signals - For statistical validation
  3. Deploy top performers - To live paper trading
  4. Build strategy arsenal - With proven edge

📁 Resources

🔗 Dashboard Quick Links

Dashboard URL Status
Predictions Tracker View Dashboard ↗ ✅ LIVE
SUPERPOWERS ARENA View Arena ↗ ✅ LIVE
KIMI Claw Research View Research ↗ ✅ LIVE