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In this interview, we sit down with Tori Trades—a verified trader with nearly a decade in the markets—who made six figures this year, taking fewer than two dozen swing trades. Filmed around the FX Summit in Dubai, she lays out a clean, directional approach built on thick, forgiving trendlines, higher-timeframe confirmation (4H and above), and a tight universe of instruments—mainly platinum and crude oil. Her angle is refreshingly simple: ride the trend, trail behind a “safety line,” and let the market prove the move without getting lost in lower-timeframe noise.
Read on to learn the strategy mechanics you can copy today: exactly how Tori draws and judges trendlines, what “action” vs “safety” lines mean for entries and exits, why she avoids multi-timeframe micromanagement, and how she manages psychology when dollar P&L gets big. If you’re a beginner who wants a precise, repeatable swing-trading process—without drowning in indicators or endless intraday noise—this breakdown will give you a clear blueprint to test on your own charts.
Tori Trades Playbook & Strategy: How She Actually Trades
Core Thesis: Simple, Directional, Trendline-Driven
Tori Trades is a directional swing trader who rides established moves rather than hunting every wiggle. She uses trendlines to define when a trend has likely turned, gets on board, and repeats the process—no lower-timeframe micromanagement.
- Trade in the direction of the dominant move; avoid counter-trend scalps.
- Let trendlines define both entry (break into a new trend) and exit (break of the line the trend is following).
- Keep the process rinse-and-repeat: identify a fresh trend, enter, ride, exit, reset.
Instruments: Crude Oil & Platinum, On Purpose
She narrowed her universe to crude oil and platinum to build deep familiarity—average ranges, pace, and quirks. This relationship edge replaces the need to “know everything” about every market.
- Focus universe: primary instruments = CL (crude oil) and platinum; avoid broad watchlists.
- Journal typical daily/weekly movement and volatility per instrument; use that to set expectations.
- Accept that edge compounds from repetitions in the same products, not from adding more tickers.
Timeframes & Chart Setup: 4H as the Workhorse
Her operating floor is the 4-hour chart; she only goes higher (daily/weekly/monthly) for additional context. Sticking to consistent timeframes reduces variables and keeps decisions clean.
- Analyze and execute on 4H; never drop lower to “find” entries.
- Use daily/weekly to draw the big trendlines and judge broader structure.
- Standardize the setup: same timeframe template, same drawing rules, same review cadence.
Entry Triggers: The Trendline Flip
Entries are not about guessing tops/bottoms—they’re about acting when price proves it. When price cleanly breaks and holds beyond the “action line,” she treats that as a new trend beginning.
- Draw the prevailing trendline; wait for a decisive close beyond it on 4H.
- No multi-timeframe fishing: if it’s not valid on 4H, it’s not valid—full stop.
- Enter on the confirmation bar or a controlled retest; never front-run the break.
Exit & Trade Management: Let the Line Kick You Out
She doesn’t pre-decide reward; she defines risk and lets the trendline tell her when the run is over. The exit is symmetrical to the entry: when the guiding line breaks, she’s out.
- Define initial risk at entry; forget fixed 1:2 or 1:3 targets—trail with structure.
- Maintain a “safety”/guiding line in the direction of the trade; exit on a confirmed 4H break.
- If price chops and violates the line, flatten and wait for the next clean setup—don’t rationalize.
Risk Framework: Known Loss, Open-Ended Gain
Because she’s trend-following, the upside is variable; the downside is predefined. This shift reduces over-management and lets winners breathe.
- Before entry, place a stop where the new trend thesis is objectively invalidated.
- Size positions so the stop equals a fixed percent of the account; never widen stops after entry.
- Treat unrealized profit that round-trips to breakeven as opportunity cost—protect it via structure.
Avoiding Indicator Overload: Less to Stress, More to Hold
Too many lines and levels invite emotional exits and second-guessing. Her charts are intentionally sparse so the plan survives contact with volatility.
- Limit drawings to the active trendline(s) and key structure; remove stale levels weekly.
- Ban “stacked” reasons to exit; the trendline break is the rule, not a feeling.
- Review screenshots of trades to audit where clutter or bias crept in.
Routine & Review: Reps Build Intuition
She frames “intuition” as subconscious competence built from thousands of repetitions in the same products. The routine creates the reps; the reps create the edge.
- Daily: scan only crude & platinum; mark active lines; note ATR-like range expectations.
- Weekly: higher-timeframe pass to refresh primary trendlines and bias.
- Post-trade: log entry/exit vs. line rules; tag any discretionary deviation for correction.
Psychology Under Pressure: Sit Through Valid Drawdown
When a trade is still “inside the rules,” she can sit in drawdown without spiraling—because the exit is objective. This reduces panic cuts and preserves big winners.
- Decide validity by rules (trendline intact?) rather than by P&L swings.
- Pre-plan “if/then” responses for volatility spikes; follow the script in real-time.
- De-brief emotional moments after the trade; convert them into clearer rules or checklists.
Building Your Version: Tunnel Vision Beats Scattershot
Her path favored depth over breadth: mastering one punch a thousand times. Emulate that focus to accelerate your own edge without drowning in methods.
- Choose one core setup (trendline break on 4H) and two instruments; commit for 90 days.
- Track 30 consecutive opportunities; only evolve rules after a complete sample.
- Ignore shiny new strategies until you’ve proven this one with data and screenshots.
Size Risk First: Fixed R Multiples, Never Widen Stops Mid-Trade
Tori Trades—Tori—starts every position by deciding the dollar loss she’s willing to accept before a single click. She frames entries around fixed R multiples, so the stop defines the risk and the position size flexes to fit, not the other way around. That keeps her calm when the chart wiggles, because the maximum damage is pre-agreed and baked into the plan.
Once in, Tori refuses to widen stops; if the thesis is wrong, the trade ends—full stop. She tracks results in R, not dollars, so each win or loss teaches repeatable math instead of random emotions. If volatility expands, Tori shrinks in size to keep the same R; if volatility compresses, she can scale up while the risk stays constant. This discipline lets her hold winners longer, because she’s not negotiating with fear or greed mid-trade.
Let Volatility Lead: ATR-Based Position Sizing and Dynamic Profit Targets
Tori Trades—Tori—builds her position size around current volatility, so the same setup doesn’t carry wildly different risk on different days. She uses an ATR-style range to anchor stops outside normal noise, then sizes the position so that distance equals a fixed R. When markets heat up and ATR expands, she scales down; when things are quiet, she can size up without changing the risk budget.
For exits, Tori lets volatility guide expectations instead of forcing a rigid 1:2 or 1:3. She targets moves of one to two ATRs for partials, then trails structure to stay in trend when the tape keeps running. If volatility contracts mid-trade, she tightens management; if it explodes, she takes partial profits faster and re-centers the stop behind the new structure. The result is consistent risk per trade and profit-taking that breathes with the market rather than fighting it.
Diversify Smart: Underlying, Strategy, and Duration to Smooth Equity
Tori Trades—Tori—spreads her bets across what actually matters: the product, the play, and the holding period. She doesn’t add ten similar trades; she splits exposure between uncorrelated underlyings and slightly different entries of the same thesis. One position might be a fresh trendline break, another a structured add-on on the first higher low, each with its own stop. By staggering the logic, a single market hiccup won’t nuke the whole day.
She also diversifies by duration: some trades are quick 1–2 ATR swings, others are multi-day trend rides trailed by structure. Tori caps risk per underlying and per strategy bucket, so no single idea dominates the account. If correlation spikes, she pares down to the best signal and cuts the rest to half-size. The goal isn’t more trades—it’s a smoother equity curve where losers are isolated and winners compound.
Rules Over Predictions: Trade the Setup, Not Your Market Opinions
Tori Trades—Tori—treats opinions like background noise and lets her rules run the show. If the setup is there—a confirmed trendline break, clean structure, risk defined—she takes it, even when her gut disagrees with the macro narrative. When the setup isn’t there, she doesn’t invent one because she “feels” a reversal coming. This separation keeps her execution consistent and prevents the spiral of adding, averaging, or chasing because a prediction “should” have worked.
Her checklist is binary by design: either price confirms the rule or it doesn’t. Tori avoids headlines and social takes around entries so she can evaluate the chart without anchoring bias. If she catches herself forecasting, she steps back and restates the rule in plain English—“If X, then enter; if not, do nothing.” The irony is that ignoring predictions actually improves her forecasting record, because she’s always aligned with what price is doing right now, not what anyone hoped it would do.
Define Risk, Then Decide: Checklists, Journals, and Post-Trade Audits
Tori Trades—Tori—locks in risk first, then runs a pre-trade checklist so execution is almost mechanical. Her checklist forces clarity: trend direction, exact entry trigger, invalidation level, position size for 1R, and management plan if volatility spikes. If any box fails, she doesn’t “wing it”—no checklist, no trade.
After the trade, Tori journals in R, not dollars, with screenshots and short notes: “What did I see? What actually happened? Did I follow the plan?” She tags each trade by setup type, market condition, and mistake class (late entry, thesis creep, stop meddling), then runs weekly and monthly audits to spot patterns. Plays that consistently underperform are benched; rules that reduce errors are promoted to the core playbook. The loop is simple: define risk, decide by checklist, document outcomes, and let the audit upgrade the next decision.
In the end, Tori Trades’ edge isn’t a hidden indicator—it’s a repeatable operating system. She defines risk first, sizes to volatility, and lets a clean 4H trendline break do the heavy lifting for both entries and exits. By focusing on a tight product set and a single primary setup, she eliminates noise, avoids prediction traps, and permits herself to sit through a valid drawdown without flinching. The upside is intentionally open-ended; the downside is pre-agreed and enforced by structure, not emotion.
The real “secret sauce” is the loop: rules → execution → journal → audit → upgrade the rule. Diversification is treated like a risk shock absorber—split by underlying, strategy expression, and holding period—so one hiccup doesn’t define the week. Checklists keep decisions binary, screenshots keep memory honest, and monthly reviews keep the playbook evolving. If you copy nothing else, copy the discipline: one setup, one timeframe, defined risk, ATR-aware sizing, exits by rule, and a journal that tells you the truth. That’s how Tori turned simplicity into a durable, scalable strategy.
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