My Trading Strategy That Consistently Performs (With Proof) | A–Z Guide

Core “Myth” and Stance

• The speaker argues that low risk/reward swing trading can be profitable.
• They claim scalping is the easiest way to lose money—not necessarily impossible, but harder emotionally.
• Swing trading is presented as psychologically simpler because you can take one main position per week (or very few), rather than continuously managing many intraday trades.

Live Performance / Proof (Explicit Numbers)

• Broker/account: IC Markets (speaker states no affiliation)

Weekly results (as reported)

• $36,000 wins
• $5,900 losses
• $31,000 profit after the week
• $1,000 of that profit went to commission
• Ending equity cited: about $30,767 for the week

Trade attribution

• “Majority” of week’s gains came from one GU swing trade held 11 days.

Additional trade P/L references mentioned

• A running trade example: up $16,000, then closed with only $2,000 profit (implying opportunity cost / not letting winners fully play out)

• Another referenced trade: Euro profit around $17,000

• A referenced loss: short loss around $4,000
• The speaker also describes the week as a $45,000 week, and states the GU trade specifically as $18,300 (part of that biggest week).

Instruments / Tickers / Instruments Mentioned

FX pairs

• GU = GBP/USD (primary trade)
• DXY = U.S. Dollar Index (used for directional bias)
• EUR (Euro referenced; exact pair not specified)

Events / macro driver

• GBP CPI (caused a large intraday move shortly before/around reaching targets)

Market / Macro Framework (Order Flow + “Manipulation” Narrative)

The speaker describes a recurring pattern:

• DXY had been in bullish structure for weeks, but after a retracement, price flips because “buyers get exhausted.”
• They frequently use a “manipulation” framing:
  • Price moves to invalidate common long expectations (turning “everyone wanted to buy” into “nobody wants to buy”),
  • Then reverses/accelerates.
• Psychology is emphasized as a key edge:
  • The strategy is framed as less about complex signals and more about not panicking during drawdowns.

Step-by-Step / Methodology Elements (As Presented)

1) Weekly analysis first

• Decide directional bias: “price go higher or lower.”

2) Trade selection

• Swing bias based on higher-timeframe structure and order flow (daily/weekly).
• Time horizon expectation: the trade might resolve in weeks or even months (in the case discussed, it was held 11 days).

3) Single-position concept (with scaling)

• Take one “good shot” (not constant scalping).
• Scale in multiple times during the swing when lower-timeframe conditions repeat (e.g., 4-hour) while higher-timeframe bias remains valid.

4) Risk control via invalidation

• Use an explicit invalid point:
  • If price goes further against the thesis beyond a “breathing room” level, the speaker claims they should exit.

5) Stop management

• Stops are moved as price progresses, including moving toward/into risk-free.
• Trades are expected to be managed through drawdown rather than being closed early.

6) Targets

• Targets are aligned to prior relative highs / daily levels and symmetry relative to DXY levels.

7) Exhaustion / confirmation lens

• Use “when the market genuinely exhausts people” as a trigger for expansions.

Specific Trade Plan Elements (GU Swing, DXY-Driven)

Trade timing

• Start: 17th of October
• Held: 11 days
• Entry decision on a Friday
• Monitoring through the weekend and following week
• Key reference: Friday at 9:00 a.m. (timing mentioned)

Entry / stop / target (numeric clues)

• Entry cited around 151 (exact formatting unclear due to subtitle transcription errors)
• Stop described as “around here” (location shown on chart; exact value not clearly transcribed)
• Target described as “around over here,” matching DXY relative highs / symmetry

Risk/reward critique and scaling outcome

• Initial risk/reward described as low (example: “only making 1.76”).
• A later scale-in (a later 4-hour point) is used to improve effective R-multiple.
• After scaling:
  • Mentions 1.72 risk/reward in the scaled setup (“still get 1.72 risk to reward”).

Pip / stop distance figures

• A later move described as 170 pips.
• After retracement, they claim they could use a 70 pip SL while keeping similar R-multiple:
  • (“can have a 70 pip SL and still get **1.72 risk to reward”)

Capital / risk statements

• Mentions risking about $1,000 in one scenario, clarifying that:
  • If they lose the whole trade, they’d be risking 1%.
• Implied effect of scaling:
  • Culminates in $18,300 profit on GU.

Risk Management and Cautions Emphasized

• Main caution: Don’t take on scalping-style emotional load; repeated stops can drain mentally and lead to premature decisions.
• Behavioral rules:
  • It can be “very easy to win,” but hard to manage being wrong—warns about continuous losses and impatience.
• A central advantage of swing trading (as framed):
  • Not closing during drawdowns.
• Scaling constraint:
  • Scaling must still align with the higher-timeframe bias; stops move as structure evolves.
• Acknowledged uncertainty:
  • “Every trade starts off with acceptance to be incorrect.”
  • If the thesis is wrong, invalidation means exiting.

Disclosures / Disclaimers

• The live performance claim references a regulated broker account (IC Markets) and states no affiliation/partnership by the speaker.
• No explicit “not financial advice” disclaimer appears in the provided subtitles/text.

Presenters / Sources Mentioned

• Presenter: The main speaker (name not provided in the subtitles)
• Broker/source for proof: IC Markets