Introduction
how to become a profitable trader — in my journey as an OTC Trader, I learned that skills and talent mean little without psychology. I spent years chasing charts and money, only to realize my edge came from understanding myself, applying fixed risk rules, journaling, and building a data-driven playbook. In this first-person QnA, I share exactly what I said on the podcast: the pillars that moved me from guessing to consistency — psychology, risk, and tracking.
Trader Talks QnA
What is the most important pillar in trading?
Psychology. People think the more they learn about markets the better they’ll be — that’s false. It’s about learning more about yourself. I literally listened to Mark Douglas every day in 2020-2021 — lunch, gym, in the car — because there was so much going on and you never knew when a huge gap down could happen. Psychology helped me avoid being overexposed. You need to question what you do, learn your limits, and build systems around them.
How did you adapt your trading to your own psychology?
I learned I can’t look at a position once I enter it. So I built a system where I delete the stock from my list after entry, set the stop, and let it work. I also only trade the last 90 minutes of the day. If I trade the first 90 minutes, it doesn’t work for me. That’s self-knowledge driving rules.
Why do most traders fail if strategies are everywhere?
Because it’s psychology. If it were just setups, why do 95%+ fail? You can have the best setup, but if you can’t execute or take a loss, it won’t matter. Every trader trades differently; what’s consistent among successful traders is how they think about risk, handle losses, and hold winners — that’s psychology.
What practical tool helped you most with psychology?
Journaling. I keep a separate physical journal (not just TraderView or Excel). I write daily and review weekly. Patterns jump out: revenge trades, oversizing, breaking time rules. Writing “I took an unnecessary loss; I shouldn’t be trading at this time” reminds me in real-time. I started journaling in 2018, and it changed how I see myself as a trader.
Can you share a recent journal-driven lesson?
I decided to dabble in listed stocks during the day because OTC was slow. On Monday, I took an unnecessary loss. An old alert on an OTC name triggered; I took it and lost. Had I not been in the market then, I wouldn’t have taken that loss. I wrote it down: don’t trade at that time, stick to my session and plan.
How do you approach risk per trade?
I use the same fixed dollar risk for every trade. Slippage happens, but the target loss if I’m wrong is predefined. I tracked this since 2018 with a separate Excel column comparing variable risk vs same risk. Every time, the same-risk approach made more at year-end and kept emotions out. Trades that feel “perfect” often become the big losers, so I avoid increasing size selectively.
Do you change risk in hot or slow markets?
When markets are hot and I’m consistently profitable, I’ll increase risk across the board — not per setup. In slow markets, I don’t lower risk unless I hit a max yearly drawdown threshold in my head; then I reduce. I let the market tell me over time. I don’t play the up-down game of changing risk week to week based on feelings — it backfires.
How should new traders think about drawdowns?
Accept that you’ll lose for periods. Comfort came only after I had data. There’s only one way: data. Start tracking today. I went back three years (to 2015) and logged each trade in Excel with charts. It took months, but in months I had years of data. Building it yourself matters — you learn and your playbook gets stronger.
What’s the biggest hurdle for new traders now?
Psychology and hopping around. New traders try to learn everything, jump rooms and strategies, and focus on making money instead of figuring it out. I’m not against rooms or education, but you must try to learn it yourself to discover what fits you. Part two is tracking — most people avoid the boring work. When I coach, 95% of time is on how I track, not pressing buttons or chart patterns.
How does data change your execution and exits?
Data reveals truth. I’ve spent weeks and months testing exit strategies I thought were better, only to see over full-year data they weren’t. Without tracking across years, you wouldn’t know. It’s time-consuming, but when you find something, it’s fun — and sometimes you learn it doesn’t work, which is equally valuable.
Where can traders connect with you?
On X (Twitter) at @atcaOTCTrader. You can also email me at [email protected]. I always recommend reading Trading in the Zone before we sit down.
Jay Trade Statistics
I focus on consistency via fixed-dollar risk, late-day execution, and data-driven reviews. The podcast did not include precise P&L numbers or monthly totals, so I’m sharing the structural stats and process I explicitly discussed.
- Fixed dollar risk per trade (same risk every trade, slippage acknowledged).
- Session: last 90 minutes of the trading day (avoid first 90 minutes).
- Physical journaling since 2018; weekly reviews to spot patterns.
- Backfilled data 2015–2018 in Excel; continuous tracking thereafter.
| Discipline Rule | Implementation |
|---|---|
| Risk per trade | Fixed amount; consistent across setups |
| Trading window | Last 90 minutes only |
| Position monitoring | Delete ticker post-entry; stop set; do not watch |
| Review cadence | Journal daily; review weekly; Excel analytics ongoing |
Key Trading Insights from Jay
My biggest edges are psychological: remove overexposure, keep risk fixed, and let data correct my biases. If you want to know how to become a profitable trader, build a feedback loop: journal, test, and standardize.
- Psychology first: systems that fit you beat borrowed setups.
- Standardize risk: same dollar risk reduces emotional whipsaw.
- Journal by hand: patterns and rule breaks become obvious.
- Data over narratives: test exits and entries over full-year samples.
Jay Trading Strategy
I trade OTC names with a psychology-led, risk-defined approach. My edge comes from time-of-day discipline, non-monitoring after entry, and rigorous data validation rather than a single chart pattern.
Fixed-Dollar Risk Framework
Calculate shares based on a predefined loss amount and stop location. I don’t scale risk for A+ setups; historically, that underperformed. I’ll only raise risk across the board during hot, consistently profitable markets and reduce if I hit my annual drawdown threshold.
Jay Tools
I blend simple, physical tools with digital tracking to keep me honest and focused.
- Physical Journal — daily entries; weekly reviews.
- Excel — historical backfill, risk columns, exit tests.
- Alerts/Scans — with strict session rules (clean up old alerts).
- Trading in the Zone by Mark Douglas — ongoing study.
Common Trading Mistakes to Avoid
From the conversation: hopping strategies and rooms, chasing perfect setups, changing risk emotionally, and trading outside your proven window. Personal examples include an unnecessary loss from dabbling outside my session and keeping an old alert active.
- Strategy hopping instead of building your own fit.
- Oversizing on “perfect” setups — often the biggest losers.
- Abandoning fixed risk in slow markets without clear rules.
- Breaking time-of-day rules; trading when you shouldn’t.
Conclusion
If you’re asking how to become a profitable trader, start with psychology, fixed risk, a physical journal, and data you build yourself. Review weekly, standardize your process, and let the numbers guide you. Share your experiences or questions in the comments, and connect with me on X if you want to go deeper.