Technical analysis by SiDec about Symbol BTC on 12/27/2025

Why the Edge Is Shifting And Why 2026 May Be a Turning Point As this year comes to an end, it’s the perfect moment to slow down, zoom out, and ask an uncomfortable but necessary question: Are we trading the markets — or are the markets trading us? Whether you are in your first year of trading or have spent a decade studying charts, there comes a moment of clarity where you ask yourself: “If I know what to do… why don’t I always do it?” Beginners ask this after their first emotional mistake. Experienced traders ask it after their hundredth. The market does not punish ignorance as harshly as it punishes inconsistency. Most traders don’t fail because they lack knowledge. They fail because they are human. We all know this pattern: The entry is clear but hesitation creeps in The stop is defined but gets adjusted “just a little” The trend is obvious yet profits are taken too early The system says don’t trade but emotions say this time is different At the end of the day, trading is not a battle against the market. It’s a battle against ourselves. And that’s exactly where algorithmic (systematic) trading enters the game. Not as a shortcut, not as a holy grail, but as an evolution of execution. Now, with AI evolving rapidly and tools becoming accessible to retail traders, something big is happening: The same systematic edge institutions used for years is now available to individuals. That raises a powerful question: Can a system (without emotion, instinct, or fear) trade better than a human? After spending the last 6–8 months deeply immersed in algorithmic trading, intense backtesting, rule-building, and system refinement, I came to a conclusion: Algorithmic trading is not just the future, it’s the logical evolution of trading itself. And I strongly believe 2026 will be a major turning point. Let’s break this down properly. Manual Trading (Human Trading) → The Strengths & The Silent Killers Manual trading is where almost everyone starts and for good reason. What humans do exceptionally well Pattern recognition Context awareness and regime interpretation Macro, narrative, and sentiment understanding Adaptation during abnormal market conditions For experienced traders, discretion often becomes earned intuition. But here’s the uncomfortable truth: The better you get, the more painful your mistakes become. Why? Because you know better yet still break your own rules. Humans are great at ideas. But trading success doesn’t come from ideas. It comes from execution → repeated thousands of times. And this is where humans struggle most. The Complete List of Human Trading Failures (The Real Reason Most Traders Lose) Regardless of experience, humans share the same failure modes. Here’s the part most people avoid talking about. Emotional failures Fear when price approaches entry Greed when price runs in profit Panic after one losing trade Overconfidence after a winning streak Revenge trading to “get it back” Execution & discipline failures Moving stop losses too early Widening stops to avoid realizing a loss Taking profit early because “it’s green now” Ignoring your system once emotions kick in Changing rules mid-trade Cognitive biases (even in professionals) Confirmation bias (seeing only what supports your bias) Recency bias (overweighting the last trade) Anchoring to entry price Counter-trading the trend because price “feels extended” Lifestyle & state-based issues Trading tired Trading stressed Trading distracted Trading emotionally impacted by life events The classic question every trader has asked: “Why did I take profit so early when the trend was obvious?” Or: “Why did I counter-trade when the moving averages clearly showed downside momentum?” These aren’t skill problems. They are human problems. The Hard Truth: Trading Is an Execution Game Markets reward: Consistency Repetition Risk control Statistical edge They do not reward: Creativity during execution Emotional intelligence in drawdowns Smart excuses Execution quality determines outcomes and execution is precisely where humans are weakest. Algorithmic Trading → What Changes When Rules Take Control Algorithmic trading removes the weakest link in trading: The trader. A system: Doesn’t feel fear, stress, fatigue, or boredom Doesn’t reinterpret rules mid-trade Doesn’t revenge trade Doesn’t move stops Doesn’t second-guess Doesn’t hesitate It follows rules. Every single time. Key advantages of algorithmic trading Processes multiple data points simultaneously Executes instantly during fast price action Trades 24/7 without fatigue Applies identical risk rules every trade Can be objectively tested and measured There is no emotional deviation. And that alone is a massive edge. “But Humans Have Instinct” — The Big Myth Instinct is just pattern recognition shaped by experience. And patterns can be quantified. If a trader can explain why they take a trade that logic can be turned into rules. And rules can be executed better by machines. Win Rate Reality — How High Can It Really Go? When I began researching existing algo traders: Some had ~60% win rates with solid returns Some reached 70–80% That sparked a question I wrote down and circled: “Is a 90% win rate even possible?” So I tested. Started with swing trading systems Moved to intraday Then scalping Simplified rules instead of complexity Tested only what truly mattered After months of backtesting and refinement: Achieving high-precision win rates of 80–90% across various asset classes, with drawdowns kept to an absolute minimum. It proved something deeper: Precision trading is possible when emotion is removed. Important Reality Check (Especially for Experienced Traders) High win rate does not automatically mean profitability. What truly matters: Risk-to-reward Drawdowns Expectancy Consistency Longevity over multiple market regimes A system must survive: Trending markets Ranging markets High volatility Low volatility Durability beats elegance. Always. The Real Future of Trading (2025–2030) Here’s how I see it: More traders will become system builders, not button clickers Manual trading will shift toward monitoring & strategy design AI will assist in: Data filtering Pattern discovery Optimization Hybrid approaches will dominate: Machines execute Humans supervise Manual trading won’t disappear but manual execution will. My Personal Conclusion Manual trading becomes validation Algorithmic trading becomes execution Humans decide what to trade Systems decide how to trade That’s evolution. Final Thoughts — End of Year Message 🎄 As the year comes to an end, take time to reflect: What worked What didn’t Where emotions interfered Where rules could replace decisions Trading is a long-term game. The goal isn’t to trade more it’s to trade better. Merry Christmas to everyone! May the next year bring clarity, discipline and growth — both in trading and in life. The edge is shifting. And those who adapt early will lead. Would love to hear your thoughts: Are you trading fully manual? Hybrid approach? Or already building systems? _________________________________ 💬 If you found this helpful, drop a like and comment!