Measurer of Positions
- Утилиты
- Версия: 7.0
- Обновлено: 18 сентября 2025
An on‑chart, data‑driven pre‑trade planner that turns your broker’s live market properties into clear, actionable numbers. It consolidates spread, commission, swaps, ATR‑based stop/targets, pip/point value and 10 risk‑profile lot sizes into one compact panel that auto‑scales to any chart size. The display is direction‑agnostic (no LONG/SHORT duplication) and emphasizes total trade cost and true risk/reward before you click “Buy/Sell.”
What it shows (at a glance)
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Time & price context (Local/Server time, Bid/Ask) with the chart visually blacked out so labels remain legible.
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Average True Spread (time‑averaged), Point Value (1 Lot), Pip Value (1 Lot).
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10 risk profiles (LotPct1‑10, % of balance) → suggested lot, $/pip, total round‑trip cost (ATS + commission + true swap for the planned holding days).
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Stop‑Loss (SL) in pips/$/% (SL columns grayed for instant recognition).
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ATR‑based targets (TP1/TP2/TP3) from three user‑selectable timeframes: each shows Pips, $ gain, % of balance, net of costs.
Why traders like it
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Pre‑trade clarity: See total cost and true risk (in pips, dollars, and % of balance) before placing an order.
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Discipline by design: ATR‑anchored SL/TPs across three horizons keep exits consistent and testable.
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Broker‑accurate math: Uses your symbol’s pip/point value, lot rules, averaged spread, commission (per lot, round‑trip or per‑side), and real swap logic (incl. optional triple‑swap Wednesday).
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Capital‑aware sizing: 10 configurable %‑of‑balance profiles convert instantly to lots and $/pip with your current SL—no spreadsheets.
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Readable anywhere: Adaptive font and spacing; compact, column‑aligned layout; SL highlighted in gray to separate risk from reward.
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Noise‑free UI: Single unified set (no LONG/SHORT duplicates) keeps the panel tight and scannable.
Intended use
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Plan trades quickly: choose a risk profile, confirm SL/TP distances, verify $ gain/loss and % of balance exposure, and act with full cost transparency.
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Backtest your risk policy visually by scrolling charts and observing how the same profiles behave across markets/timeframes.
