Pseudoscience is characterized as a system of theories or beliefs that are presented as scientific but lack the rigors and foundations of the scientific method. It often uses scientific-sounding language while being rooted in unsubstantiated claims or cultural beliefs, and it can be misleading and harmful.
My Evolution as a Market Analyst
Early Success on TradingView
In 2020-2021, I established myself as a leading analyst on the TradingView platform, becoming the top-rated contributor for equities and high-volume tickers including TSLA, AAPL, AMZN, ARKK, COIN, RIOT, WKHS, PLTR, NIO, and Bitcoin.
Educational Background
My journey began fifteen years ago with a comprehensive study of technical analysis methodologies. I immersed myself in seminal works including:
"Technical Analysis of Financial Markets" by John J. Murphy
"Japanese Candlestick Charting Techniques" by Steve Nison
"Trading with the Andrews Pitchfork" by Glenn Wilson
"Elliott Wave - Fibonacci High Probability Trading" by Jared Sanders
Professional Recognition
While my initial goal in publishing analyses on TradingView was personal performance tracking, industry recognition came unexpectedly. Within three months, I ranked among the platform's top six contributors, advancing to the highest-rated position by the fourth month.
This visibility led to multiple partnership offers from brokerages and cryptocurrency projects, including Tiger Broker (NASDAQ: TIGR), all of which I declined to maintain independence.
Client Development
Following requests from followers, I established a contribution system to support ongoing analysis. My work attracted institutional attention, including a hedge fund managing hundreds of millions in assets that engaged me for educational services.
I developed a customized curriculum delivered via virtual platforms, maintaining a rigorous teaching schedule that ultimately revealed limitations in traditional technical analysis approaches—confirming Richard Feynman's observation that "When one teaches, two learn."
Methodological Evolution
This realization prompted a strategic pivot. I paused teaching to focus on skill development, particularly in programming and data analytics. I integrated advanced concepts including:
Game theory applications
Quantitative analysis frameworks
Behavioral finance principles
AI Integration
The emergence of accessible AI models represented a significant advancement for my practice. I leveraged Gemini (formerly Bard), ChatGPT, and Claude to enhance my options trading system, developing proprietary metrics to identify market inefficiencies in derivatives pricing.
Current Approach
Today, I operate as a substantially transformed analyst with a modernized market perspective. While my analytical methods employ sophisticated quantitative techniques, I continue presenting findings in traditional visual formats to accommodate audience preferences—a phenomenon explained by patternicity.
Understanding Cognitive Biases in Trading
Patternicity
A concept introduced by Michael Shermer describes our tendency to identify meaningful patterns within random noise
Highlights humanity's inherent drive to impose order on chaotic information
Significantly impacts decision-making processes as our minds actively seek connections, sometimes where none exist
Apophenia
The broader tendency to perceive connections between unrelated phenomena
First defined by German neurologist Klaus Conrad in 1958 as "unmotivated seeing of connections"
While common in everyday cognition, extreme manifestations can indicate psychological concerns
Trading in the AI Era
For market participants continuing to rely exclusively on traditional technical analysis methodologies—pattern trading, Elliott Wave theory, harmonic patterns, or price action systems—I offer this perspective: these approaches alone are increasingly insufficient for achieving consistent market outperformance in today's technology-driven environment.
My Evolution as a Market Analyst
Early Success on TradingView
In 2020-2021, I established myself as a leading analyst on the TradingView platform, becoming the top-rated contributor for equities and high-volume tickers including TSLA, AAPL, AMZN, ARKK, COIN, RIOT, WKHS, PLTR, NIO, and Bitcoin.
Educational Background
My journey began fifteen years ago with a comprehensive study of technical analysis methodologies. I immersed myself in seminal works including:
"Technical Analysis of Financial Markets" by John J. Murphy
"Japanese Candlestick Charting Techniques" by Steve Nison
"Trading with the Andrews Pitchfork" by Glenn Wilson
"Elliott Wave - Fibonacci High Probability Trading" by Jared Sanders
Professional Recognition
While my initial goal in publishing analyses on TradingView was personal performance tracking, industry recognition came unexpectedly. Within three months, I ranked among the platform's top six contributors, advancing to the highest-rated position by the fourth month.
This visibility led to multiple partnership offers from brokerages and cryptocurrency projects, including Tiger Broker (NASDAQ: TIGR), all of which I declined to maintain independence.
Client Development
Following requests from followers, I established a contribution system to support ongoing analysis. My work attracted institutional attention, including a hedge fund managing hundreds of millions in assets that engaged me for educational services.
I developed a customized curriculum delivered via virtual platforms, maintaining a rigorous teaching schedule that ultimately revealed limitations in traditional technical analysis approaches—confirming Richard Feynman's observation that "When one teaches, two learn."
Methodological Evolution
This realization prompted a strategic pivot. I paused teaching to focus on skill development, particularly in programming and data analytics. I integrated advanced concepts including:
Game theory applications
Quantitative analysis frameworks
Behavioral finance principles
AI Integration
The emergence of accessible AI models represented a significant advancement for my practice. I leveraged Gemini (formerly Bard), ChatGPT, and Claude to enhance my options trading system, developing proprietary metrics to identify market inefficiencies in derivatives pricing.
Current Approach
Today, I operate as a substantially transformed analyst with a modernized market perspective. While my analytical methods employ sophisticated quantitative techniques, I continue presenting findings in traditional visual formats to accommodate audience preferences—a phenomenon explained by patternicity.
Understanding Cognitive Biases in Trading
Patternicity
A concept introduced by Michael Shermer describes our tendency to identify meaningful patterns within random noise
Highlights humanity's inherent drive to impose order on chaotic information
Significantly impacts decision-making processes as our minds actively seek connections, sometimes where none exist
Apophenia
The broader tendency to perceive connections between unrelated phenomena
First defined by German neurologist Klaus Conrad in 1958 as "unmotivated seeing of connections"
While common in everyday cognition, extreme manifestations can indicate psychological concerns
Trading in the AI Era
For market participants continuing to rely exclusively on traditional technical analysis methodologies—pattern trading, Elliott Wave theory, harmonic patterns, or price action systems—I offer this perspective: these approaches alone are increasingly insufficient for achieving consistent market outperformance in today's technology-driven environment.
Use the following link to access trading ideas: patreon.com/SniperTraderStocks?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Use the following link to access trading ideas: patreon.com/SniperTraderStocks?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.