Trading Course by Trader Dante

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Overview this course

Markets reward clarity, discipline, and a repeatable edge—not gadget-chasing or guesswork. Trading Course by Trader Dante is built to help you strip your approach down to first principles, then rebuild a lean, evidence-based trading business from the ground up. You’ll learn two complete strategies—a multi-market swing trading framework (Forex, equity indices, commodities, and adaptable to crypto) and a day trading approach developed at a London proprietary futures desk for the German Bund. The emphasis is on process: precise entries and exits, risk containment, and structured review so results become more consistent over time. 💡

Across 26 pre-recorded lessons, 10 Q&A sessions, and targeted exercises, you’ll learn to think like a professional: define what must be true before you trade, codify that into rules, and judge every decision against a simple metric stack (win rate, average R, drawdown, time to recovery). If you’re new, you’ll avoid the common traps. If you’re experienced but plateaued, you’ll diagnose failure points and rebuild confidence.

At a glance

• Two strategies: swing (multi-asset) + day trading (Bund order-driven approach)

• Format: 26 lessons • 10 Q&A recordings • practical exercises and checklists

• Focus: edge definition, risk architecture, execution, journaling, and continuous improvement

• Outcome: a lean playbook you can run daily—without clutter or ambiguity

Why should you choose this course?

You don’t need more indicators; you need a framework that survives changing regimes. This course concentrates on durability rather than novelty. 📌

• Edge, not opinion. You’ll build rule sets with clear if/then conditions and disqualifiers. No vague “feel.”

• Cross-market transfer. The swing framework ports across FX, indices, and commodities—reducing curve-fit risk and expanding opportunity.

• Order-driven intraday craft. The Bund day strategy trains you to read the auction: where initiative vs. responsive flows appear, how failed moves inform the next trade, and when to stand down.

• Professional risk design. Daily loss limits, position sizing, structural vs. volatility stops, and portfolio heat rules protect longevity.

• Execution habits that hold. One-pager plans, pre-market scenarios, in-trade checklists, and post-trade scorecards close the loop between intent and action.

• Learn by doing. Exercises walk you through chart marking, hypothesis writing, and replay drills so you cement pattern recognition without hindsight bias.

• Clarity beats complexity. The goal is a compact playbook you can execute under pressure—simple enough to use, robust enough to trust. 🚀

Educational only; no promises, signals, or financial advice. Trading carries risk, including potential loss of principal.

What You’ll Learn

The curriculum is designed to rebuild your trading from first principles—structure → risk → execution → review.

 

1) Reframing how you trade

• Diagnose the difference between an idea and an edge.

• Convert narratives into testable statements (timeframe, trigger, stop, target).

• Establish a “must-be-true” checklist that prevents low-quality trades.

2) Market structure & context (multi-asset swing)

• Identify key reference points: prior highs/lows, weekly/daily levels, ranges, and break areas that matter to larger participants.

• Understand trend vs. rotation conditions and how that affects entry tactics and hold times.

• Align higher-timeframe bias with execution timeframe to avoid fighting the tape.

3) Entries, exits, and risk for swing trading

• Entry models that anchor to structure (retests, failed breaks, momentum continuation).

• Stop placement via market structure (beyond swing/failed area) vs. volatility (ATR-based bands).

• Targeting and scaling rules—partials vs. all-out, measured-move logic, and time-based exits when momentum stalls.

4) Intraday auction logic (Bund day trading)

• Read initiative versus responsive flows; recognize absorption, exhaustion wicks, and failed auctions.

• Use session landmarks (open, initial balance, VWAP) as decision areas, not predictions.

• Build a tight intraday risk plan: max attempts per idea, time-of-day rules, and “walk-away” thresholds to prevent tilt.

5) Risk architecture that preserves longevity

• Daily and weekly loss limits calibrated to your account and edge statistics.

• Position sizing methods (fixed fractional vs. volatility-scaled) and how to step size up or down responsibly.

• Portfolio heat: caps on concurrent risk and correlation so one theme doesn’t dominate exposure. 🛡️

6) Expectancy and metrics that matter

• Measure edge with R-multiples: expectancy = P(win) × AvgWin − P(loss) × AvgLoss.

• Track MAE/MFE to refine stop placement and exits without overfitting.

• Time-to-recovery, equity curve filters, and drawdown policies for when to reduce risk or pause.

7) Playbook construction

• Build A/B/C setup pages: thesis, structure, triggers, invalidation, management rules, and imagery.

• Define disqualifiers (news windows, poor liquidity, out-of-hours volatility) that trump otherwise valid patterns.

• Create scenario maps before the session so you’re prepared rather than reactive.

8) Execution discipline

• Convert plans into one-minute briefings you can recite before placing risk.

• In-trade checklist: confirmation, stop, size, partial plan, and post-fill actions—so you decide once, execute many times.

• Error taxonomy: categorize mistakes (plan violation, sizing, late entry) to target the highest-impact fix.

9) Review cadence & continuous improvement

• End-of-day scorecard: Did the trade match the playbook? Was the context aligned? Did management follow rules?

• Weekly review: keep a “best three, fix one” rhythm—celebrate what’s working; change one thing only to avoid chaos.

• Archive your chart book (before/after with notes) to sharpen pattern recognition and confidence.

10) Adaptation without drift

• How to test small changes (filters, targets) without rewriting the system after a rough week.

• Recognize regime shifts (volatility, participation, macro tone) and adjust risk first, rules second.

• Use forward notes to anticipate tomorrow’s behavior based on today’s acceptance/rejection.

11) The business of trading

• Set quarterly objectives and process KPIs (plan-adherence %, mistake rate, review completion) alongside P&L.

• Build a lightweight operations kit: journal, broker statements, risk dashboard, and backup procedures.

• Professional hygiene: platform checks, data sanity, and communication routines if you trade within a team.

12) Practical exercises (sample)

• Replay & annotate: mark failed breaks vs. valid continuations across three instruments.

• Stop audit: compare structural vs. ATR stops across 20 trades—identify which protects expectancy best.

• Context drill: each morning, write a three-line bias, levels, and scenarios; verify end-of-day.

• Bund micro-study: log first-hour behaviors for two weeks—opening type, volatility, best-performing pattern.

Who Should Take This Course?

• Determined beginners who want a principled start: fewer moving parts, more signal.

• Stalled intermediates who make some progress but keep giving it back—ready to repair execution and risk.

• Discretionary traders seeking structure (playbooks, checklists, reviews) without losing discretion.

• Cross-market explorers who want one swing framework that ports to FX, indices, commodities, and crypto.

• Intraday specialists keen to refine auction reading and discipline on a liquid instrument (Bund).

• Process-oriented learners who value repetition, journaling, and small compounding improvements. 🙂

Not ideal if you want alerts/signals, guaranteed returns, or automation without understanding. The course demands personal execution and review.

Conclusion

Consistency comes from running a good process—over and over—through different market moods. Trading Course by Trader Dante focuses on exactly that: a compact swing framework that travels across markets, a refined day trading method for the Bund, and the risk and review systems that make both sustainable. You’ll stop guessing, start specifying, and measure progress in behaviors as well as P&L. Over time, the noise falls away, your entries sharpen, and your equity curve reflects a business run on purpose rather than impulse. ✨

Ready to turn clarity into action? Map tomorrow’s levels, write one A-setup, and commit to the checklist—trade by trade—until precision becomes your default.