How I Built My Own Trading Strategy

The Myth of Trading Education

When I tell people I built my own trading system from scratch, the first question is always: "Where did you learn to trade?"

The answer is more complicated than it seems: I learned from many people, but no single method from anyone worked for me directly.

I've studied algorithms and methods from numerous traders. I've learned from courses, mentors, books, and online content. Each contributed something to my understanding. But none of them handed me a ready-to-use strategy that fit my personality and way of thinking.

That's the key realization: you can learn from everyone, but you have to build your own.

No course gave me the precision I needed. No mentor's strategy matched my timeframe preferences. No book addressed my specific psychological patterns. I had to take pieces from everywhere and construct something that actually worked for me.

This isn't a story about getting rich quick. It's about the journey of synthesizing many learnings into something personal — and why that synthesis beats copying anyone else's exact method.

My Learnings about My Learnings

One question I kept asking myself: even after learning so many things, why does one still fail — especially in trading? I found some answers in the Buddha's teachings.

There are three types of learning. The first is Sutamayā Paññā (सुतमया पञ्ञा) — knowledge from hearing. This is what we learn from someone else's experiences: through reading, videos, or by listening to others. The second is Cintāmayā Paññā (चिन्तामया पञ्ञा) — knowledge from reflection. We reflect on what we have heard, apply logic, and arrive at our own conclusions. The third is Bhāvanāmayā Paññā (भावनामया पञ्ञा) — knowledge from meditation, which comes from experiencing the truth directly within ourselves. This third form of wisdom is the most concrete and lasting.

We can learn from other people's experiences, or we can sit and think deeply until we reach our own conclusions. But the deepest learning comes when we personally go through the struggles, face the failures, feel the emotions, and learn the hard way. The wisdom gained from such mistakes is the most lasting of all.

Why You Don't Need Training to Start

Here's the uncomfortable truth about trading education: most courses teach you to follow someone else's strategy. And unless you deeply understand why that strategy works, you'll never be able to adapt it to changing market conditions.

But here's the liberating truth: you can start right now with zero knowledge.

Start watching. That's it.

Watch price move
Watch where buyers step in
Watch where sellers dominate
Watch patterns repeat

The best trading strategies aren't invented in seminars. They're discovered through relentless observation.

My Starting Point: The "Aaloo Pyaaz" Theory

Every trader has a beginning. Mine started with something I jokingly called "aloo payas" — a simple observation about buyer and seller zones.

The concept was primitive: markets move between zones of accumulation (buyers) and distribution (sellers). When price enters a buyer's zone, something should happen. When it enters a seller's zone, something else should happen.

The theory was sound. The problem was precision.

I could see where buyers and sellers might be. But I couldn't answer the critical question: exactly when should I enter?

This single problem sent me down a rabbit hole that lasted years.

The Problem: Timing and Massive Stop Losses

My first attempts at trading this theory revealed a brutal truth:

My stop loss was enormous — sometimes 10-15% of the trade
I couldn't trust any single entry point
The risk-reward was terrible

When your stop loss is huge, you can't position size appropriately. When you can't position size appropriately, you can't make meaningful money in a reasonable timeframe.

I needed to solve the stop loss problem first.

The First Pivot: Custom Timeframes

Standard trading education tells you to trade on standard timeframes: 1 hour, 4 hour, daily charts. And for good reason — they're less noisy, more reliable.

But here's what nobody tells you: standard timeframes might not match your personality or your strategy's needs.

My stop loss problem forced me to explore something unconventional: sub-minute timeframes. Seconds. 5 seconds. 10 seconds. 15 seconds. 30 seconds.

The logic was simple:

Lower timeframe = smaller price swings = smaller stop loss
Smaller stop loss = I could take bigger positions
Bigger positions = meaningful returns in shorter spans

This wasn't about day trading or scalping. It was about finding the timeframe that matched my edge.

The Second Problem: Position Sizing and Signal Overload

With smaller timeframes came new challenges — but also unexpected benefits.

The good part about 5-second charts: I could pinpoint exact entry at very specific levels. The precision was incredible. No more guessing "is this a good entry?" The chart showed me exactly where to get in.

But there were two significant problems:

Problem one: Position sizing.

My position sizes were calibrated for larger timeframes. When I moved to 5-second charts with the same position sizes, a single adverse move would hit my stop loss — even if the overall trade thesis was correct. The volatility on lower timeframes at my original position size was too aggressive.

I had to reduce position size to match the characteristics of my chosen timeframe.

Problem two: Too many signals.

Frequent price changes on lower timeframes meant frequent trade signals. Every few seconds there was a "setup." And with setups came the temptation to trade. The sheer volume of signals was overwhelming — and overtrading became a real risk.

This taught me a critical lesson: strategy components aren't independent. They're a system. Change one, and you must adjust others.

One Piece of the Puzzle: Custom Moving Averages

Solving problems one by one led me to custom indicators. One of those solutions was custom moving averages.

Standard moving averages (9, 21, 100, 200) are everywhere because they're widely taught. But "widely taught" and "optimal for your strategy" are different things.

I started experimenting with custom moving average configurations — lengths and types specifically designed for my timeframe and style.

The goal wasn't to find a "better" moving average. It was to find a moving average that:

Filtered noise on my specific timeframe
Confirmed entries without adding too much lag
Aligned with my "aloo payas" zones of buyers and sellers

Custom moving averages solved one of my problems — but it wasn't the complete solution. Multiple adjustments across multiple areas were needed to make the system work.

From Manual to Algorithmic

Once I had a clear set of rules, converting them to code was natural:

Define the buyer/seller zones
Define the custom moving average conditions
Define position sizing rules
Define trade filters

The code didn't make me a better trader. It made me a more consistent executor of my own rules.

And that consistency revealed new problems I couldn't see when trading manually.

The Psychology Problem Nobody Warns You About

You can have the perfect strategy. The ideal indicators. The optimal position sizing. And still lose money.

Because trading psychology will destroy every perfect system if you let it.

Here's what I learned the hard way:

The Overtrading Trap After Wins

After back-to-back profitable trades, something dangerous happens. You feel unstoppable. You feel like you're in "the zone." And that feeling whispers: "There must be another setup right now. I should take it."

There isn't.

The "zone" feeling after wins is your brain's reward system telling you to repeat recent success. It's not market analysis. It's not a new setup appearing. It's your psychology manufacturing a reason to trade.

I've caught myself doing this multiple times: taking trades after good days when there was absolutely no valid signal. Just the feeling that I should be trading.

The pattern is predictable:

Have 2-3 good trades in a row
Feel confident, energized, "in the zone"
Force a trade into a flat or choppy market
Lose the profit and more

Solution I developed: After any profitable day, my only goal becomes ending the day positively. That's it. One positive day is enough. I don't chase more.

The Problem of Knowing When to Stop

Here's another pattern I've recognized in myself: after a really good profit day, the temptation to continue is overwhelming.

Why stop when you're winning? The market is right there. You're reading it perfectly. One more trade...

Except you've already achieved your goal for the day. Continuing past a successful day rarely comes from analysis — it comes from greed disguised as confidence.

The discipline to stop when you're ahead is harder than stopping when you're losing. Loss止损 is natural. But when you're winning, walking away feels like leaving money on the table.

What I learned: If you've had a positive day, you have what you wanted. The market will be there tomorrow. Take the win and walk away.

Journaling vs. Introspection: Not Everyone Is Built the Same

Every trading guru says: "Keep a journal. Track every trade. Review it."

They're right. A trading journal would help.

But I'm not that person.

I know myself well enough to admit: I won't consistently write detailed trade journals. Every time I've tried, it lasted a week before I fell off.

Does that mean I'm doomed to fail at trading? No.

What works for me: I keep notes. Brief, messy, thoughts-after-trades notes. Then I take time to think about them. Not immediately — later, when emotions have settled. What went well? What went wrong? Why did I take that trade that wasn't there?

You don't need a perfect journaling system. You need to think about your trades honestly.

The goal isn't documentation — it's self-awareness. How you achieve that doesn't matter as much as actually doing it.

Psychology Is the Real Education

Every trader I've met who succeeds eventually says the same thing: "The strategy was the easy part. Controlling myself was the real challenge."

Technical skills can be learned in weeks. Psychology takes years to master — and is never fully mastered.

The observation-based learning I described works for strategy development. But without psychological awareness, even the best strategy fails.

Watch not just the markets. Watch yourself. Notice when you're trading because of a setup — and when you're trading because of how you're feeling.

That awareness is where the real edge comes from.

The Startup Realization

When you build an algorithmic trading system for yourself, you eventually ask: "Can others use this?"

That question led to building tools, indicators, and eventually a startup around these insights. The journey from personal trading to productizing those lessons is a story for another day.

But the core principle remained: observation synthesizes everything — including what you learn from others.

The Framework: Observation to Strategy

Here's how I now approach any trading strategy development:

Step 1: Observe Without Trading

Watch markets. No money. No pressure. Just watch where price reacts, where patterns form, where buyers and sellers appear dominant.

Step 2: Form a Hypothesis

Based on observations, form a theory about why price behaves a certain way. It doesn't need to be complex. "Buyers step in at this level" is a valid hypothesis.

Step 3: Test With Small Capital

Trade your hypothesis with minimum viable capital. The goal isn't profit — it's learning what your hypothesis gets wrong.

Step 4: Identify Problems Sequentially

You'll face multiple problems (stop loss, position size, frequency, timing). Don't try to solve all at once. Pick one, solve it, then move to the next.

Step 5: Codify and Iterate

Once you have working rules, code them. Manual trading has emotion. Algorithms have execution.

Step 6: Watch Your Psychology

Observe yourself as much as you observe the market. Notice when you're trading because of a setup — and when you're trading because of recent wins, recent losses, or emotional states. The best strategy fails without psychological awareness.

What Formal Training Gets Wrong

Trading courses teach you their strategy developed from their observations.

You inherit their conclusions without their experience. When conditions change (and they always do), you don't know how to adapt because you never learned to observe.

Learning from others is valuable — I did it extensively. But copying someone's exact method without understanding their reasoning, their personality, their timeframe preference, their psychological makeup — that's where training often fails.

What works for someone else might not work for you. Not because the method is bad. But because you're a different person with different strengths and weaknesses.

Observation-based learning combined with learning from others is faster than pure self-discovery. But blindly following others without filtering through your own experience is where most traders go wrong.

The goal isn't to reject formal training. It's to use it as input — then synthesize your own approach.

The Honest Truth

I lost money. Many times. On multiple occasions.

I rebuilt from scratch. Multiple times.

I created indicators that didn't work. I coded algorithms that failed. I launched products nobody wanted.

But each failure taught me something no course ever could: what actually works for my specific situation, personality, and market conditions.

You don't need training to develop a trading strategy. You need:

Patience to observe
Willingness to fail
Discipline to solve problems sequentially
Ability to codify what works

Training might accelerate the early stages. But observation-based learning builds lasting competence.

Start watching. The markets are already teaching you — if you're willing to learn.

This article is a draft. I'll be expanding sections, adding more specific examples from my trading journey, and eventually converting this into a YouTube video. Expect updates as I refine the content.