Pioneer Era Trading Academy AI Trading Pioneer
Specializing in AI Trading Systems, <<AI Super Profit 5.0>> Development, and Professional Investor Training
Pioneer Era Trading Academy adheres to the principles of “Scientific, Steady, and Excellent.” Our core team members have collaborated for over a decade, developing market-validated trading strategies across stocks, futures, options, and cryptocurrencies. The team excels in rapid project iteration, integrated strategies, streamlined processes, and multi-dimensional “research-oriented” characteristics, resulting in highly efficient strategy output. We foster a strong scientific research atmosphere and maintain a flat management structure, emphasizing long-term talent cultivation. Our strict talent recruitment process includes PhDs in biology, mathematics, physics, and law, enhancing the grid effect of strategy models.
Development of Trading Systems
From Traditional Trading to Quantitative Trading
Traditional trading relies on traders’ manual judgment and decision-making, representing the initial version of trading. With the advent of quantitative trading, our trading system shifted to a model-based approach, forming a systematic investment framework that replaces manual decisions, becoming the prototype of version 1.0.
Quantitative Trading Upgrade: Introduction of Artificial Intelligence
The application of AI technology further upgrades trading. By optimizing algorithms, AI acts as an accelerator in the quantitative trading model, significantly shortening the process of algorithm implementation and trading decisions, quickly forming version 2.0, making the decision-making process more efficient.
Version 3.0: Enhanced Perception and Adaptability
Building on version 2.0, version 3.0 introduces more perception and adaptability. AI systems can collect environmental data through data sensors and adjust their actions and decisions accordingly. This capability makes AI systems more adaptable to different environments and tasks, becoming intelligent assistants in the real world.
Version 4.0: Cross-Domain Intelligent Solutions
Version 4.0 further upgrades and optimizes the algorithms and data of version 3.0, focusing mainly on the application of AI across the entire financial market. It emphasizes combining AI with IoT, cloud computing, big data, and other technologies to construct intelligent solutions.
AI Super Profit 5.0: A Fully Upgraded Intelligent Trading System
AI Super Profit 5.0 is a comprehensive upgrade of version 4.0, covering data processing, AI algorithms, risk management, user experience, trading strategies, overall performance, and community support. It not only achieves significant technological breakthroughs but also pays more attention to users’ actual needs and experiences, making the trading process more intelligent, efficient, and secure.
The Value of Information and Strategy Selection
From traditional manual trading to quantitative trading, and then to AI trading, trading efficiency has progressively increased. Our team highly values the “information” aspect. Team members have diverse backgrounds, including traditional traders, short-term volatility traders, long-term value traders, mathematical modeling traders, and other technical experts. Whether it’s current market judgments, future predictions, or strategy choices, they are all based on the interaction of information. This inclusivity allows us to encompass various backgrounds of strategists and traders.
Our market strategies are based on systematic strategies derived from market data. Traditional stock traders emphasize timing, selecting appropriate entry and exit points. Successful strategies can increase positions at the bottom and reduce or close positions at the peak, enhancing returns. Our AI Super Profit product system balances high returns with risk control strategies, embedding product information based on current and future market risk assessments to withstand market fluctuations.
Product Line Diversity and Optimization
Pioneer Era Trading Academy pursues a balanced direction in large-scale asset management across stocks, options, and cryptocurrencies. Each direction has one or two flagship products. High-frequency trading strategies have smaller capital capacities, making later expansion difficult, so they are not the main category. We lay out a broad direction initially, highlighting the distinctive styles of product lines, and optimize configurations after achieving a certain trading volume. Cryptocurrency strategies typically have half the capital capacity of stock strategies due to significant market size differences. In the options product line, we mainly deal with weighted tech stocks and index options products, similar to alpha-beta strategies.
In the future, we will offer more flexible portfolio products for high-net-worth clients, categorized into stable, balanced, active, and aggressive tiers. Stable products control volatility within 1%, similar to fixed income; aggressive strategies control volatility within 10%. We will select strategies from stocks, options, and cryptocurrencies, match and optimize risks, and continuously update strategies to maintain growth.
Strategy Development and Risk Management
We diligently develop strategies, regularly testing risk parameters and developing new strategies, typically maintaining a frequency of one new strategy per person per month, extending product lifecycle. For most market strategies, whether in stocks, futures, trend-following, arbitrage, or reversal strategies, a long-term Sharpe ratio above 2.5 is considered good, and above 3 is excellent. Our core products balance returns and drawdowns, focusing on the ratio of returns to maximum drawdowns (Sharpe ratio). Only strategies with a Sharpe ratio above 3 meet our launch standards.
In futures strategies, we continuously update, striving to stay ahead of peers by one to two years in innovative strategy development. We have long applied AI technology in trading strategies and will test more new strategy systems in the future. Some directions are currently underway but need time to materialize.
Quantitative investing is inherently procedural. When a program or model is written, it is the optimal strategy based on a historical point. However, when market conditions change, alternative methods or strategies are needed to replace them, grasping market changes sensitively for quantitative trading to excel. Multi-factor strategies are more common in stocks and less so in futures. Short-term and medium-to-long-term trading correspond to different market cycles, and strategies can vary greatly, sometimes even oppositely.
Using AI Super Profit to Transform Trading Mindset and Rational Trading
Trading mindset is also crucial. Often, the signals given by timing models look correct in hindsight, but investors may not understand at the time, finding the manager’s judgment inexplicable, especially during product drawdowns. Such unique minority opinions are often correct. It is essential to adhere to rational trading principles, avoiding emotional factors that make trading outcomes uncontrollable.
Humans have strong emotions and consciousness, making strict emotional management and rational trading difficult, necessitating reliance on AI’s intelligent consciousness management. AI outperforms in trading psychology, helping us tackle the most challenging aspects of trading.
Optimizing Trading Portfolios with AI Super Profit
As an experienced investor, you are often influenced by news and price fluctuations during trading. Our portfolio optimization relies heavily on our understanding of certain information and geopolitical issues, which is often driven by societal factors and not always accurate.
AI Super Profit can avoid this by using big data models to quickly filter information and provide professionally optimized investment portfolio recommendations. The portfolio optimization feature currently achieves a 91.3% accuracy rate. With AI Super Profit, you have a powerful, professional trading decision-making team.
Technology Changes Lives
We will soon release the AI Super Profit 5.0 professional app, helping industry elites and investors solve the most challenging aspects of trading more easily, professionally, and quickly.