Core Technology of PowerX AI
Optimized Dollar-Cost Averaging (DCA)
An optimized DCA strategy based on capital management principles.
Unlike traditional DCA, it integrates centralized exchange metrics and market data to make automated trading decisions based on market conditions.
Implements 32 unique models tailored to various market scenarios (strong bull market, mild bull market, short-term consolidation, long-term consolidation, strong bear market, mild bear market).
Optimizes buy/sell frequency for each model, with analysis for adverse, neutral, and favorable scenarios.
Extensive backtesting conducted using data from Binance, OKX, Bybit, Bitget, and BingX since 2020.
Generates profits even in prolonged bear markets, with stronger performance during growth periods.
Designed for long-term investment, maximizing stability and compounding effects.
Market Neutral Strategy
A balanced trading system maintaining equilibrium between long (buy) and short (sell) positions.
Operates two integrated modules utilizing market momentum and Average True Range (ATR).
Leverages vast data sources, including CoinMarketCap, CoinGecko, major centralized exchanges (CEX), and on-chain oracles.
Selects long/short trading asset baskets based on portfolio management principles and major market volatility.
Continuously updates the portfolio to adapt swiftly to market changes.
Ensures stable profits in both bull and bear markets.
Management Principles
Portfolio Diversification
Integrates multiple alpha strategies instead of relying on a single approach.
Minimizes risk and enhances profit accumulation by leveraging correlations between strategies.
Maintains proprietary trading systems within a systematic framework.
Risk Control
Prioritizes risk management to mitigate unpredictable market volatility in algorithmic trading
Applies a 5-tier risk management system
Risk < 5%
Risk < 15%
Risk < 25%
Risk < 70%
Risk < 70%
Executes automatic stop-loss when risk exceeds set thresholds by +10%
Risk Control
Halts trading automatically upon reaching preset loss limits.
Compound Mode (Default): Sets loss limits based on initial allocation and compounded growth.
Initial Mode: Restricts losses within the user’s initial allocation.
Manual Mode: Closes all positions if losses exceed a percentage of the current bot balance.
Configuration Safeguards: Embeds fail-safes within settings, in addition to bot-level risk management.
Protects against sudden market swings or unpredictable events.
Performance Metrics
Tracks and analyzes bot performance across various risk levels
Hermes Messenger_BTC
Radiance_BEX
Exodia Unleashed_TAAM
Superior_BTC
Athena AI Ascents_TAAM, NOVA Unlimited_TAAM (VIP)
Provides detailed performance charts and statistics for each strategy