
Break-and-Retest Masterclass for XAU/USD Telegram Signals (2025)
October 16, 2025
Gold Signals Telegram Session Playbook (2025)
October 16, 2025FXPremiere · Telegram subscriptions
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View yearly options →Gold Signals Backtesting Template (2025)
Measure the edge you actually have: include costs, stick to TP1/TP2/Runner rules, and review by session. Educational only — not financial advice.
CSV/Sheets Fields (with examples)
You can import our CSV directly. Add/trim fields as needed.
| Field | Purpose | Example |
|---|---|---|
| Date, Week | Calendar grouping | 2025-10-16, 42 |
| Session | Asia / London / NY | London |
| SignalID | Unique reference | G2025-001 |
| Direction | Long/Short | Long |
| Entry, Stop, TP1, TP2, RunnerExit | Levels & exits | 2350.5 / 2346.5 / 2351.5 / 2353.5 / 2357.0 |
| RiskPct, AccountBalance, RiskUSD | Risk sizing | 0.5% / 10,000 / 50 |
| PositionSize(lots), StopDistance($) | Size math | 0.25 / 4.0 |
| SpreadCost, Commission, Slippage | Costs $ | 2.5 / 1.5 / 0.8 |
| EntryModel, SetupTags | Playbook labels | Break-Retest / VWAP, LondonOpen |
| NewsProximity | Before/after data | Post-news 20m |
| MAE/MFE (pips) | Heat & potential | −12 / +28 |
| HitTP1, HitTP2, RunnerActive | Step outcomes | Y / N / N |
| FinalOutcome(R), FinalOutcome($) | Result | +0.5R / +25 |
| Notes | Context | Spreads normalized after open |
R-Multiple Math (Sheets formulas)
- RiskUSD =
=AccountBalance * RiskPct - FinalOutcome($):
Example if you record outcome in R:
=FinalOutcome(R) * RiskUSD - Win Rate (overall):
=COUNTIF(FinalOutcome(R):FinalOutcome(R), "> 0")/COUNTA(FinalOutcome(R):FinalOutcome(R)) - Avg R:
=AVERAGE(FinalOutcome(R):FinalOutcome(R)) - Expectancy (R):
=AvgWinR * WinRate - ABS(AvgLossR) * (1 - WinRate)
Cost Tracking (spread / commission / slippage)
Gold is cost-sensitive around opens and news. Log costs per trade so your edge isn’t inflated.
- Prefer limit/stop-limit on retests to control slippage.
- Skip the exact print minute; re-engage post-event with structure.
MAE/MFE & Quality Control
- MAE: max adverse excursion → tells if stops are placed well.
- MFE: max favorable excursion → shows if TP2/runner targets are realistic.
- Tag entries (VWAP Reclaim, Break-Retest, Sweep Reversal) to compare performance by model and session.
Dashboards & KPIs
By Session
Win%, Avg R, Expectancy by Asia/London/NY.
By Entry Model
Compare Break-Retest vs VWAP Reject vs Sweep Reversal.
By Cost Regime
Filter trades where SpreadCost + Slippage was above/below median.
Keep a day stop like −2R to protect mental capital while forward-testing.
FAQ
How many rows is “enough” to judge?
100+ trades across multiple weeks/sessions gives variance you can trust.
Do I track partials?
Yes — log TP1/TP2/Runner as separate flags; your FinalOutcome(R) already bakes them in.
What if I change rules midway?
Start a new tab/version to keep stats clean pre/post-change.
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