Smooth Brains AI - Automated Trading on Hyperliquid
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14-60% CAGR (Net) with zero custody risk. Institutional-grade algorithmic trading for crypto traders managing $50K-$500K capital.
The first performance-aligned, self-custodial trading bot with verified backtests. Built on Hurst's Cycle Theory with LSTM AI. You connect your Hyperliquid account. Everything else is automated.
37%
Avg CAGR (Net)
2.5
Sharpe Ratio
10+
Years Tested
10k+
Simulations
10+ Years Backtested
Non-Custodial • Your Keys
37% Avg CAGR (Net)
10,000+ Simulations
Smooth Brains Strategies
Click to expand and learn more about each strategy
Why Start Now?
Calculate your potential returns and see why timing matters in crypto cycles
Deposit Calculator
Expected Annual Return (37% CAGR Net)
$350
Projected Value After 1 Year
$1,350
Projected Value After 3 Years
$2,460
* Based on 37% average net CAGR (after all fees) from backtests. Past performance does not guarantee future results.
Recommended Deposit Tiers
$100 - Starter
Perfect for testing the system
$1K - Standard
Ideal for serious traders
$10K - Premium
Maximum capital efficiency
$50K - Institutional
For high-net-worth investors
Why Timing Matters
- 1Cycle PositioningWe're in an optimal phase of the 4-year Bitcoin cycle for entry
- 2Early Adopter AdvantageJoin now and benefit from our growing community and proven strategies
- 3Compound GrowthThe earlier you start, the more time your capital has to compound
Right Curver AI
Online
Smooth Brains Swing Trader (Strategy B)
IN TESTING
Multi-Strategy System
All accounts run multiple strategies simultaneously:
- 4 Year Cycle Hunter (Strategy A): Stalks perfect entries, focusing on long-term Bitcoin cycles
- Swing Trader (Strategy B): Sweats your equity with active trading on shorter timeframes
- Cycle Enhanced (Strategy C): 4-hour swing trading enhanced with cycle theory, dynamically adjusting position sizing and leverage based on multi-cycle alignment
This multi-strategy approach creates a robust hedging multi-timeframe approach that quant firms would be proud of. Strategy A (long-only cycle hunter) captures upside during accumulation phases, while Strategies B and C (long/short swing traders with regime analysis) rotate capital and protect during downswings. With state-of-the-art LSTM modeling and confidence-based position sizing, this comprehensive approach maximizes capital efficiency and opportunity capture across both BTC and ETH through intertwined risk management.
Strategy Overview
The Smooth Brains Swing Trader (Strategy B) is a multi-asset strategy that rotates between BTC and ETH, capitalizing on multi-timeframe price movements and volatility patterns across both assets.
Unlike the 4 Year Cycle Hunter (Strategy A) which is long-only and focuses on Bitcoin's long-term 4-year cycles, the Swing Trader (Strategy B) can take both long and short positions using regime analysis. It operates on multi-timeframe analysis with regime detection to identify shorter-term swing trading opportunities (3-7 day positions), dynamically rotating between BTC and ETH and rotating capital during market downswings when Strategy A is in cash.
Key Features
- BTC & ETH Rotation: Dynamically rotates between Bitcoin and Ethereum based on market conditions and momentum signals
- 3-7 day swing positions: Optimal holding period for capturing meaningful price movements in both BTC and ETH
- Momentum and trend analysis: Advanced technical indicators to identify high-probability setups across both assets
- Full optimization per asset: Each asset (BTC and ETH) has dedicated optimization settings for both the Cycle Hunter and Swing Trader strategies
- Dynamic risk management: Adaptive position sizing and stop-loss placement based on market conditions for each asset
How It Works
The Swing Trader uses advanced momentum and trend analysis with regime detection to identify optimal entry and exit points for swing positions typically lasting 3-7 days. It can take both long and short positions based on market regime analysis, dynamically rotating between BTC and ETH and helping rotate capital during market downswings when Strategy A (Cycle Hunter) is in cash.
The strategy continuously monitors both assets and can:
- Enter positions in BTC or ETH when momentum signals align
- Exit positions as momentum shifts, locking in gains
- Rotate capital between BTC and ETH to capture the strongest opportunities
- Optimize position sizing independently for each asset based on volatility and market conditions
Capital Efficiency Advantage
The BTC Swing Trader uses dynamic risk management with adaptive position sizing and stop-loss placement based on market conditions, maximizing efficiency and potential returns through strategic entry and exit timing.
Status
In Testing - Strategy B (BTC Swing Trader) is currently being tested and will be implemented soon. Once complete, it will be fully operational and executing trades. The strategy will actively monitor Bitcoin and Ethereum markets and execute signals based on its proprietary algorithm.
Right Curver AI
Online
Smooth Brains 4 Year Cycle Hunter (Strategy A)
Live now - in beta
Strategy Overview
The Smooth Brains 4 Year Cycle Hunter (Strategy A) is built on Hurst's Cycle Theory, a time-tested approach to understanding cyclical patterns in financial markets. Applied to Bitcoin, this long-only strategy exploits the predictable four-year market cycles to capture maximum upside during accumulation phases while preserving capital during downturns. Unlike Strategies B and C which can go short, Strategy A focuses exclusively on long positions.
Bitcoin exhibits powerful four-year cyclical patterns that have historically driven major bull markets. Our algorithm identifies where we are in this cycle and adjusts positioning accordingly.
How It Works
The 4 Year Cycle Hunter uses multi-timeframe momentum analysis to determine optimal entry and exit points within the four-year cycle:
- Cycle Phase Detection: Analyzes multiple timeframes (weekly, monthly, quarterly) to determine current cycle phase
- Momentum Confirmation: Waits for momentum alignment across all timeframes before entering positions
- AI-Enhanced Signals: LSTM neural network analyzes 10+ years of data to predict price movements 6 months to 2 years ahead, boosting position sizes when highly confident and reducing risk when uncertain
- Adaptive Position Sizing: Increases exposure as confidence builds, reduces as cycle matures
- Risk-Based Exits: Systematically takes profits as price targets are hit and cycle indicators weaken
Key Features
- Conviction-Weighted Signals: Only enters when multiple timeframes align, avoiding false breakouts and whipsaws
- Systematic Entry/Exit: No emotional decision-making - all trades follow predetermined rules based on cycle analysis
- Capital Preservation Focus: Designed to protect capital during bear markets while capturing upside in bull markets
- Long-Only Strategy (Strategy A): Focuses exclusively on capturing Bitcoin's upside during cycle accumulation phases - no shorting or leverage, complements Strategies B & C which can go short
Backtest Results (2014-2024)
The 4 Year Cycle Hunter has been backtested across 10+ years of Bitcoin price data, encompassing multiple four-year cycles, bull markets, and bear markets. Results have been validated through 10,000+ Monte Carlo simulations to ensure robustness.
Conservative
25% CAGR
Max DD: -15%
Moderate
37% CAGR (Net)
Max DD: -25%
Aggressive
45% CAGR
Max DD: -35%
Maximum
55% CAGR
Max DD: -45%
Past performance does not guarantee future results. CAGR = Compound Annual Growth Rate. Max DD = Maximum Drawdown.
Why Hurst's Cycle Theory?
Developed by J.M. Hurst in the 1970s, cycle theory recognizes that markets move in predictable rhythmic patterns. Bitcoin's four-year cycles provide one of the clearest examples of cyclical behavior in modern markets, making it an ideal candidate for cycle-based strategies. Unlike discretionary trading or pure technical analysis, cycle theory provides a systematic framework for understanding where we are in the market cycle and what comes next.
Right Curver AI
Online
Smooth Brains Cycle Enhanced (Strategy C)
IN TESTING
Strategy Overview
The Smooth Brains Cycle Enhanced (Strategy C) strategy combines advanced cycle theory principles with 4-hour swing trading precision. Built on a foundation of multi-timeframe cycle detection, this strategy can take both long and short positions based on cycle alignment and regime analysis. Uses cycle-based conviction weighting to dynamically adjust position sizing and leverage based on cycle alignment strength, helping rotate capital during market downswings.
By analyzing cycle windows across daily, weekly, and yearly timeframes combined with regime analysis, the strategy identifies high-probability entry points where multiple cycles align. This enables dynamic leverage scaling from 1.0x to 2.5x based on cycle alignment strength and market regime conditions.
By analyzing cycle windows across daily, weekly, and yearly timeframes, the strategy identifies high-probability entry points where multiple cycles align, providing additional conviction layers beyond traditional technical indicators.
Key Features
- 4-Hour Swing Trading: Optimized for swing positions on 4-hour timeframes, capturing intermediate-term price movements with precision
- Multi-Cycle Alignment: Analyzes cycle windows across daily, weekly, and yearly timeframes to identify high-conviction entry points
- Cycle-Based Position Sizing: Position sizes adjust dynamically based on cycle alignment strength, with multipliers ranging from 0.9x to 1.5x
- Dynamic Leverage Scaling: Leverage scales from 1.0x to 2.5x based on cycle alignment confidence and market conditions
- Cycle-Enhanced Signals: Uses LC1-LC5 signal system with cycle-based conviction weighting for optimal entry timing
How It Works
The Cycle Enhanced strategy operates on 4-hour timeframes, analyzing price movements within the context of multiple cycle windows combined with regime analysis. When cycles align across daily, weekly, and yearly timeframes, the strategy can take both long and short positions, increasing position sizing and leverage to capture high-probability opportunities during both upswings and downswings.
The strategy uses a multi-cycle alignment scoring system where stronger alignment across timeframes results in:
- Higher position sizing multipliers (up to 1.5x)
- Increased leverage scaling (up to 2.5x for appropriate risk profiles)
- Enhanced conviction in entry signals through cycle confirmation
- Better timing precision by combining technical indicators with cycle windows
Cycle Theory Enhancement
Unlike strategies that rely solely on technical indicators, the Cycle Enhanced approach adds a sophisticated layer of cycle-based conviction. By detecting when multiple cycle windows align, the strategy can identify periods of higher probability for price movements, enabling more precise position sizing and risk-adjusted leverage scaling.
How It Complements Strategies A & B
Strategy C adds a unique cycle-theory enhancement layer that works alongside Strategy A's long-term cycle focus (long-only) and Strategy B's momentum-based swing trading (long/short). While Strategy A waits for multi-year cycle lows and takes only long positions, Strategies B and C use regime analysis to take both long and short positions, rotating capital during market downswings. Strategy C captures opportunities where cycle windows converge on shorter timeframes, providing additional diversification through cycle-based conviction weighting. Together, all three strategies create a robust hedging multi-timeframe approach with state-of-the-art LSTM modeling.
Status
In Testing/Backtesting - Strategy C (Cycle Enhanced) is currently undergoing comprehensive backtesting and optimization. The strategy is being validated across multiple market cycles and timeframes to ensure robust performance before production deployment.