[PX Algorithm
Bots]
Each bot uses the same RF (Reversal Function) + DCA (Dollar Cost Averaging) based cycle trading algorithm, but risk and return rates are adjusted according to the difference in function values. Higher RF sensitivity leads to wider entry/exit ranges and increased returns and risk.
[Quantum Safety]
Risk-Return Profile
- Minimum risk, low return (target: 2% monthly
Strategy
- RF + DCA composite cycle trading
- Conservative function value settings (RF sensitivity 3.618)
Features
- Minimized entry/exit range
- Stability-prioritized function values
Optimal User
- Conservative investors seeking stable returns
[Quantum Focus]
Risk-Return Profile
- Low risk, stable return (target: 3% monthly)
Strategy
- RF + DCA composite cycle trading
- Balanced stability function value settings (RF sensitivity 3.618)
Features
- Market average entry
- Stable cyclic repetitive trading pattern
Optimal User
- Medium to long-term investors seeking stable growth
[Quantum Core]
Risk-Return Profile
- Medium risk, medium return (target: 4% monthly)
Strategy
- RF + DCA composite cycle trading
- Neutral optimized function value settings (RF sensitivity 3.618)
Features
- Optimized entry/exit point detection
- Chart pattern-specific weight adjustment
Optimal User
- Active traders seeking balanced risk/reward
[Quantum Growth]
Risk-Return Profile
- High risk, high return (target: 5% monthly)
Strategy
- RF + DCA composite cycle trading
- Aggressive function value settings (RF sensitivity 6.618)
Features
- Extended entry/exit range
- Return optimization through leverage adjustment
Optimal User
- Progressive investors pursuing high returns
[Quantum Elite]
Risk-Return Profile
- Maximum risk, maximum return (target: 7% monthly)
Strategy
- RF + DCA composite cycle trading
- Aggressive function value settings (RF sensitivity 6.618)
Features
- Simultaneous execution of multi-asset cycle trading
- Advanced rebalancing algorithm application
Optimal User
- Professional investors with high risk tolerance
Ares Sword (Ares Sword of Greatness_TAAM)
AI bot that enhances proven trading algorithms with machine learning
Key Features
Application of Modern Portfolio Theory
Risk mitigation through multi-pair trading with small capital allocation
Balance maintenance and risk limitation through short position hedging
Strategy Details
Selection of 20 pairs with lowest MDD and 20 pairs with highest returns during market volatility/transition periods
Implementation of long/short neutral strategy with 40 pairs of highest Sharpe ratios
Utilization of complex strategies including DCA, Range Filter, KDJ, RSI, EMA, WMA, Momentum, Ichimoku, MACD, STPO, OI
Ares Shield (Ares Shield of Glory_TAAM)
Defensive strategy AI bot enhanced with Quantera Advanced AI Module
Key Features
Capital management based on Modern Portfolio Theory
Risk minimization through multi-pair diversification
Portfolio stabilization through short position hedging
Strategy Details
Execution of optimized DCA with 5 pairs of lowest MDD during market volatility/transition periods
Implementation of long/short neutral strategy with 20 pairs of highest Sharpe ratios
Utilization of various strategies including DCA, Range Filter, KDJ, Dynamic, RSI, EMA, WMA, Momentum, XY Lookback, STPO, OI
[Spot Trading
Bots]
[Upbit BTC Spot]
Strategy
- Low volatility DCA strategy
Performance
- Average monthly ROI 3%
[Upbit KRW Index]
Strategy
- Low volatility DCA strategy
Performance
- Average monthly ROI 3%