Edited By
Abdul Rahman

A trader, known as Benn, claims to have made 40% annually for nearly five years, relying solely on intuition rather than technical analysis. With a $100,000 account balance, he wonders how to shift from manual trading to automation. However, insights from others highlight the complexities of automating a process built on gut feelings.
Benn's approach steers clear of complex indicators, focusing mainly on the RSI, yet it raises a key question: can intuition be codified into a trading algorithm? Many comments from fellow traders suggest that automating a strategy based on instinct poses significant challenges.
"If your edge is mostly gut feeling, you can't really automate that directly," noted one user.
The consensus among commenters centers on three major themes:
Documenting the Intuition
Users recommend starting with a robust trading journal. Capturing every decision along with market conditions can reveal patterns buried within a trader's instincts. "Journal every trade and record the context, entry/exit reasoning, market conditions, and RSIโlook for patterns that can be turned into rules," one experienced trader advised.
Utilizing AI for Analysis
Some suggest leveraging AI tools to examine trading history. By inputting data into algorithms, traders could uncover correlations between their intuitive decisions and actual market conditions. This tech-savvy approach could serve as a bridge to automation without sacrificing the instinctual edge.
Acceptance of Manual Processes
Several traders express skepticism toward full automation. One user emphasized, "Donโt automate an intuition-based strategy. Trust me, Iโve tried." They argue that the nuances of trading require human observation and flexibility that machines simply can't replicate.
The conversation reveals a mixed sentiment surrounding the transition from intuition to automation:
Positive: Many traders see potential in documenting their strategies for future analysis.
Negative: Skepticism exists around the feasibility of automating discretionary trading.
๐ Documenting every trade can help define clear rules from intuition.
๐ค AI might uncover hidden correlations in trades that can aid in developing a strategy.
โ ๏ธ Full automation may not replace the need for human oversight and real-time decision-making.
Ultimately, while traders like Benn are achieving success through instinct, turning that creativity into a structured, automated process remains a significant challenge. Can tech truly replicate the human touch in trading, or is it best to embrace the unique qualities that define intuitive strategies?
The future of intuitive trading could see a noteworthy shift in how strategies are developed. Experts estimate around 70% of traders will begin to document their trading practices more thoroughly over the next year, utilizing journals to identify patterns that can inform automated approaches. As these insights are analyzed with advanced AI tools, thereโs a strong chance weโll see a rise in semi-automated strategies, allowing traders to maintain their instinctual edge while benefiting from data-driven analysis. However, full automation remains unlikely, with about 80% of traders expected to stick with some element of manual oversight due to the unpredictable nature of market dynamics that often require human judgment.
Reflecting on the early days of online banking provides an intriguing parallel. In the late 1990s, many consumers relied heavily on traditional banking, driven by intuition and trust in institutions. As online platforms emerged, a gradual shift occurred. People documented their relationships with money, debated the merits of new technologies, and ultimately blended traditional practices with online efficiency. This transformation didnโt entirely eliminate human input; instead, it integrated digital innovations into existing frameworks, much like traders today face the challenge of merging intuitive strategies with tech advancements. Just as intuitive banking adapted over time, the trading community may find a harmonious balance between gut feelings and automation.