Fire Wheel 100X AI
FireWheel 100X AI —— Ultimate Trend Capture Quantitative System
1
Strategy Objective
Precisely identify trending markets, utilize extreme leverage and floating profit scaling to achieve exponential growth from $100 to $10,000
2
High-Quality Programming Code
Transform trading strategies into high-quality program code through efficient programming
3
Core Advantages
Utilizing Deep Reinforcement Learning (DRL) and Momentum Intelligence tracking to automatically select trading instruments with the highest breakout potential
Hun Tian Silk 1%
Hun Tian Ling 1% —— Gentle yet Strong, Stable Growth, 1% Daily Compound Miracle!
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Multi-Asset Hedging Trading
Combine forex, commodities, indices and other assets to diversify market risks
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Multi-Strategy Parallel Operation
Integrate trend following, mean reversion, arbitrage trading to adapt to different market environments
3
Large Capital Steady Operation
Control drawdown through low leverage + batch entry, ensuring stable returns
4
Intelligent Dynamic Risk Control
Adopt AI risk control system to automatically adjust positions and hedging ratios, ensuring capital safety
AI Selection Logic Introduction
1
Multi-Dimensional Data Collection & Analysis
AI system collects massive market data in real-time, including historical prices, volume, capital flow, market sentiment, news events and other multi-dimensional information. Through Natural Language Processing (NLP) technology, analyze unstructured data such as news, social media and announcements to capture market sentiment changes.
2
Machine Learning Model Selection
Build dynamic selection models based on supervised and unsupervised learning algorithms. Train models with historical data to identify high-probability profit opportunities and select targets that meet strategy objectives (such as stocks, futures, cryptocurrencies, etc.)
3
Dynamic Risk Scoring & Optimization
Conduct real-time risk assessment for each target, comprehensively considering factors such as volatility, liquidity, correlation. Dynamically adjust selection weights through Reinforcement Learning to ensure maximum returns while controlling risks.
4
Adaptive Market Environment
AI models can automatically switch selection strategies according to market environments (bull market, bear market, sideways market). Through real-time market monitoring, quickly adjust selection logic to ensure stable strategy performance under different market conditions.
Drawdown & Risk Data
1
Multi-Dimensional Data Collection & Analysis
AI system collects massive market data in real-time, including historical prices, volume, capital flow, market sentiment, news events and other multi-dimensional information. Through Natural Language Processing (NLP) technology, analyze unstructured data such as news, social media and announcements to capture market sentiment changes.
2
Machine Learning Model Selection
Build dynamic selection models based on supervised and unsupervised learning algorithms. Train models with historical data to identify high-probability profit opportunities and select targets that meet strategy objectives (such as stocks, futures, cryptocurrencies, etc.)
3
Dynamic Risk Scoring & Optimization
Conduct real-time risk assessment for each target, comprehensively considering factors such as volatility, liquidity, correlation. Dynamically adjust selection weights through Reinforcement Learning to ensure maximum returns while controlling risks.
4
Adaptive Market Environment
AI models can automatically switch selection strategies according to market environments (bull market, bear market, sideways market). Through real-time market monitoring, quickly adjust selection logic to ensure stable strategy performance under different market conditions.
