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In this interview, the Miami-based trader and entrepreneur Alex G sits down with the Titans of Tomorrow host to unpack how he actually trades—and why it’s worked for him at scale. At just 23, Alex has built a massive audience, runs multiple businesses, and still keeps his execution tight: two timeframes in sync, higher-time-frame areas of interest, and a clean “shift in structure” trigger before he ever clicks buy or sell. His story moves fast—from Dunkin’ shifts to leading global meet-and-greets—and it matters because he combines visible results with a simple, teachable process new traders can grasp quickly.
Read on to learn his three-part framework (trend → area of interest → entry signal), exactly how he times entries using lower-time-frame shifts at daily/weekly zones, and why he prefers selective “set-and-forget” swing trades over frantic scalps. You’ll also see how he sizes risk (bigger on A+ setups, fewer total trades), how he thinks about psychology when thousands are watching him live, and why consistency beats cleverness for building a real equity curve. If you’re new and want a blueprint that cuts noise and focuses on what actually moves the needle, this breakdown is for you.
Alex G Playbook & Strategy: How He Actually Trades
Core Framework: Trend → Area → Trigger
Here’s the backbone of how the trader structures every decision. First, define the broader trend, then mark a precise area where price is likely to react, and only then look for a clean entry signal. This keeps you from forcing trades and makes your plan repeatable under pressure.
- Identify the higher-timeframe trend on the daily and weekly first; only trade in that direction.
- Pre-define 2–4 “areas of interest” (AOIs) per market: prior swing highs/lows, fresh supply/demand blocks, or unmitigated imbalance zones.
- Wait for a lower-timeframe “shift in structure” (break of the last pullback or micro-range) inside the AOI before clicking buy/sell.
- No AOI + no structure shift = no trade, regardless of “feel” or news.
Timeframes & Market Selection
Keep your chart stack simple and consistent so your eyes learn what “quality” looks like. One higher timeframe sets bias, one execution timeframe times entries, and an optional ultra-low timeframe for precision if spread/latency allows.
- Bias on weekly/daily; execution on 1H/15M; precision on 5M/1M only if spreads are tight.
- Stick to 3–6 liquid markets you actually understand (e.g., majors/indices) and archive the rest.
- If a higher-timeframe is sideways, reduce size by half or skip until a fresh range expands.
- News days: trade only if AOI is set pre-news and your trigger forms after the initial impulse.
Setup Criteria (A+ Only)
This is how you filter noise. You’ll take fewer trades, but the ones you do take will be worth it. Write these in your checklist and refuse to bend them.
- Higher-timeframe bias aligns with execution timeframe structure (no counter-trend shots).
- AOI has at least two confluences (e.g., HTF swing level + fair value gap, or prior week high + order block).
- Liquidity is engineered first: look for a sweep of equal highs/lows into your AOI before the structure shift.
- The first clean shift is the trade; ignore the second and third “almost there” attempts.
Entry Triggers
Entries should be mechanical so you can pull the trigger without second-guessing. The goal is a tight invalidation that sits just beyond the structure you’re fading.
- Longs: after a sweep of lows inside AOI, wait for a HH/HL sequence on execution timeframe; enter on the first bullish break-and-retest of the micro-structure.
- Shorts: after a sweep of highs inside AOI, wait for an LL/LH sequence; enter on the first bearish break-and-retest.
- If the retest never comes, skip—no chasing candles.
- Invalidation goes beyond the swept extreme or the origin of the break; no “mental stops.”
Risk & Position Sizing
You’re not rewarded for taking more trades—only for surviving to the next A+ setup. Risk should stretch when conditions are perfect and shrink when they aren’t.
- Base risk: 0.5R–1R per trade; cap daily loss at 2R.
- A+ alignment (weekly + daily + AOI + first shift) = allow up to 1.5R; anything less = 0.5R.
- Hard stop in the book, never widened; if you move a stop, it’s only to reduce risk after partials.
- Max two open positions per market; correlated pairs count toward the same risk bucket.
Trade Management
Plan your exits before entry so you avoid emotional decisions mid-trade. Scale out into logical destinations and protect the position once the market proves you right.
- First partial at 1R–1.5R, move stop to breakeven only after structure confirms (new HH/LL).
- Leave a runner to the next HTF target (prior swing high/low, weekly open/close, or untouched imbalance).
- If the market re-enters your AOI and closes through it, close the remaining size—your premise is gone.
- No adding to losers; add only if a fresh micro-setup forms in the same direction after a higher low/lower high.
Session, Timing & “No-Trade” Filters
Not all hours are equal. Focus on windows that actually move and avoid dead time that forces boredom trades.
- Indices/majors: prioritize London Open ±90 minutes and New York Open ±90 minutes.
- Avoid midday drift unless the price is parked at your AOI and liquidity is building.
- If you take three screenshots without seeing a valid AOI + trigger, declare a no-trade day.
Chart Hygiene & Markups
Clean charts make faster decisions. Your annotations should tell the trade’s story at a glance.
- Weekly/daily: mark swings, key closes, and one or two blocks; hide indicators on HTF.
- Execution TF: draw AOIs and liquidity levels; highlight the exact candle/structure that invalidates you.
- Save a pre-trade plan image (HTF bias, AOI, trigger) and a post-trade image (entries/exits, what confirmed/failed).
Psychology You Can Actually Use
Confidence comes from repetition, not motivation. Build small wins by following rules, not by catching big moves.
- Pre-commit to your checklist; if one rule is missing, you physically cannot place the order.
- After a loss, enforce a 10-minute timeout and review the checklist before the next trade.
- Track “rule adherence” as a metric; aim for >85% adherence before increasing risk.
Daily Prep in 20 Minutes
A tight routine beats a long one. You’re priming your brain to notice only the best spots.
- Scan weekly/daily to update bias; erase yesterday’s lines that no longer matter.
- Build a watchlist of 3–6 markets with fresh AOIs and write one sentence for each: “Longs only into X; trigger below Y.”
- Set alerts at AOI edges so you don’t babysit charts; walk away until pinged.
Journal Like a Builder, Not a Historian
Your journal should improve the next trade, not become a diary of past mistakes. Capture the few variables that move P&L.
- Log: HTF bias, AOI reason, exact trigger, R placed, partials, final R, and one “would I take it again?” verdict.
- Tag trades by condition (trend, range, news day, first touch/second touch) to see what really pays.
- Review weekly: cut the bottom-two tags next week; double down on the top-two.
“Do-Not-Do” List
Knowing what to avoid is half the edge. Put these on a sticky note above your monitor.
- No counter-trend trades without a fresh HTF break and close.
- No entries outside AOI, even if the pattern forms elsewhere.
- No widening stops. Ever.
- No adding risk after two consecutive losses; drop size to 0.25R for the rest of the session.
Quick Build-Out of a Personal Playbook
Codify all this so your future self doesn’t rely on memory. The goal is to make your process portable across markets.
- Write a one-page SOP with your exact timeframes, AOI definitions, valid triggers, and risk tiers.
- Pre-save alert templates (“Price into [AOI]; watch for sweep + BOS on 15M”).
- Create a weekly audit sheet: win rate by tag, average R by tag, rule-adherence score, and changes for next week.
Size Risk Like a Pro: Volatility-Adjusted Position Sizing That Sticks
Alex G doesn’t “feel” his size—he calculates it. In the interview, Alex G explains that the fastest way to blow up is to keep position size constant while volatility changes under your feet. He ties risk per trade to a fixed R value (a small percent of equity) and then scales the number of contracts or lots by recent range, so a wild day gets a smaller size and a quiet day gets a touch more. That one tweak keeps losses proportional and turns randomness into a measured input instead of a landmine.
He also caps the day before it caps him. Alex G sets a maximum daily drawdown, stops trading when it’s hit, and won’t “win it back” in the same session—because discipline is the edge. On correlated markets, he treats overlapping exposure as one bet and reduces the combined size accordingly, keeping total risk inside the same R box. The takeaway: define R, use volatility to translate R into units, and enforce hard stop rules so your sizing stays consistent when emotions don’t.
Trade the Mechanics, Not Your Opinions: Rules Before Predictions Always
Alex G keeps opinions off the chart and lets his checklist do the talking. He starts with a higher-timeframe bias, marks a few clean areas of interest, and then waits for a simple structure shift to trigger an entry—no second-guessing. If the trigger doesn’t print, he doesn’t invent reasons to trade; he just passes. Alex G says that when rules are binary, the decision is instant, and stress drops.
He treats predictions as entertainment and mechanics as the job. The plan defines risk, invalidation, and partial targets before any order goes live, so execution becomes a yes/no action instead of a debate. When he feels the urge to “outsmart” the system, Alex G reviews the checklist aloud and either places the trade as written or walks away. That habit keeps him consistent across good and bad days, which is exactly how the equity curve stays clean.
Diversify Smart: Underlying, Strategy, and Timeframe Work Together
Alex G doesn’t diversify by holding more charts; he diversifies by holding different drivers of P&L. He spreads risk across uncorrelated underlyings—think a major FX pair, an index future, and maybe oil—so one narrative can’t sink the day. Then he mixes playbook types: trend-continuation from AOIs, first-pullback re-entries, and occasional mean-reversion inside ranges. Each setup has its own rules and tags, so Alex G knows which edge is actually paying.
Time does the rest of the work. Alex G pairs a higher-timeframe swing bias with a tactical execution window, letting him keep runners on the daily while scouting new triggers on the 15M. He caps total exposure when signals cluster across correlated markets, counting them as a single bet. If two strategies flag simultaneously on the same symbol, he takes the best-quality signal and passes the duplicate to avoid stacking the same risk. The result is smoother equity—multiple small, independent edges compounding instead of one loud bet shouting over everything.
Define Your Risk Upfront: Stops, Exits, and Maximum Daily Loss
Alex G starts every trade by writing the exit before the entry. He places the hard stop beyond the structure that would prove the idea wrong—above the swept high for shorts or below the swept low for longs—so the stop is about logic, not comfort. He preloads partial targets at 1R and the next clean higher-timeframe level, which turns scaling out into a button press instead of a mid-trade debate. Alex G also uses a time stop: if the structure hasn’t progressed after a set number of candles, he flattens and waits for a fresh trigger.
The daily line in the sand is non-negotiable. Alex G caps the day at a fixed maximum drawdown, stops trading when it’s hit, and doesn’t “win it back” in the same session. He never widens a stop; the only adjustment allowed is to reduce risk after partials when market structure confirms. If correlated symbols are on, he treats them as one risk bucket, so total exposure still fits inside the day’s loss limit. The point is simple: define invalidation, define exits, define the worst-case day—then trade like there’s no override button.
Build a Repeatable Process: Pre-Plan Setups, Review, and Improve Weekly
Alex G treats trading like a checklist-driven job, not a guessing game. Before the session, he writes a one-line plan for each market—bias, area of interest, and the exact trigger he needs to see. If the plan and price action diverge, Alex G does nothing, because inaction is part of the plan. He sets alerts at AOI edges so he isn’t babysitting charts and burning discipline.
After the close, Alex G runs a short review: did he follow the rules, size correctly, and manage according to structure? He tags every trade by setup type, market condition, and outcome so the data tells him which edges actually pay. Each weekend, he cuts the bottom performers and doubles down on the highest R-multiple tags, turning the journal into a factory for better decisions. The result is a repeatable loop—plan, alert, execute, review—that lets Alex G trade the same way on a quiet Tuesday or a wild CPI day.
In the end, Alex G’s edge isn’t a secret indicator—it’s how he stacks simple rules so they fire in the right order. He starts with a higher-timeframe context, marks a handful of clean areas where price is likely to react, and lets a lower-timeframe shift confirm before he risks a dollar. That mechanical flow—trend → area → trigger—keeps him out of noise, and the way he ties position size to volatility, sets hard invalidations, and caps his daily drawdown keeps losing days small and predictable. Add in precise session timing and the discipline to sit out when conditions aren’t aligned, and you get a process that survives the slow days and compounds on the good ones.
What makes it durable is the feedback loop. Alex G plans each setup in one line, sets alerts so he isn’t forcing trades, and journals with tags that actually change next week’s behavior—cutting what doesn’t pay and pressing what does. He treats correlated exposure as one bet, keeps partials and runners preplanned, and never widens stops—ever. Put simply: define risk in R, let structure do the talking, diversify by underlying and setup type (not by opening more charts), and measure what matters so you can repeat it. If you copy only that, you’ll trade less, stress less, and give your equity curve a chance to climb clean.
