Open
Range Break
Range expansion at open + breakouts. Coverage on MNQ, MGC, NAS and XAU, with an EOD guard on the futures presets. Total +$79,592 across all tracks at 100K presets (Apr 2025 – Sep 2026): modeled +$60,284, live +$19,307; best PF 4.71 (MNQ).
At a glance
4.71 best PF (MNQ) · 81.8% best WR (MNQ)
Best-performing instrument per metric (max 3 from one instrument), total Apr 2025 – Sep 2026 at the 100K preset; modeled and live layers per instrument below. Forecast metrics: Monte Carlo, 1,500 paths, 3-year horizon, input Apr 2025 – Sep 2026. Viability 3y = % of MC paths that never hit the hard drawdown. Payout potential : blow = full payout units reached in profit per one account blow over 3y (potential, not a payout schedule). TTP = median days to first payout unit.
Take Open’s numbers with you.
The Playbook puts Open next to every other strategy and portfolio in the catalogue, modeled and live shown separately, with the preset for each account tier. One PDF, then our letters with what the systems did.
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100K FP preset (2 ct) · portfolio-only
2.14 PF · 66.7% Win rate · $2,852 Max DD (EOD) · 1.28 Sharpe
Equity curve · modeled + live
Daily P&L applied to the $100,000 starting balance at the 100K FP preset (2 ct), log scale. Gray = modeled (2025-04-01 → 2026-03-31); accent = live (2026-04-01 → 2026-09-30), right of the “LIVE →” marker.
Modeled 12 months (Apr 2025 – Mar 2026) · detail
Quarterly breakdown · modeled Q2'25–Q1'26, live since Q2'26
| Quarter | Layer | Net | WR | Trades | Max DD (EOD) |
|---|---|---|---|---|---|
| Q2'25 | modeled | −$992 | 0.0% | 2 | $992 |
| Q3'25 | modeled | +$1,514 | 100.0% | 5 | $0 |
| Q4'25 | modeled | +$862 | 66.7% | 3 | $498 |
| Q1'26 | modeled | +$6,282 | 87.5% | 8 | $1,240 |
| Q2'26 live | live | +$1,028 | 100.0% | 1 | $0 |
| Q3'26 live | live | −$1,432 | 37.5% | 8 | $2,852 |
Drawdowns are EOD basis; intrabar peak-to-trough runs higher. Live quarters are real-account results at the same preset.
Stats · modeled and live, separately
| Layer | Avg win / loss | W:L | Largest win / loss | Max DD EOD | Sharpe | Sortino | Calmar | Avg bars |
|---|---|---|---|---|---|---|---|---|
| Modeled Apr 2025 – Mar 2026 | $743 / −$682 | 1.09 | $1,548 / −$1,240 | $1,240 (1.24%) | 2.02 | 4.65 | 6.18 | 74.2 |
| Live Apr 2026 – Sep 2026 | $809 / −$728 | 1.11 | $1,098 / −$788 | $2,852 (2.85%) | -0.22 | -0.32 | -0.28 | 48.1 |
TradeZella merges partial exits into one position, so its trade count runs below the TradingView trade list; net P&L matches to the dollar.
Account sizing · Monte Carlo 1,500 paths × 3y
| Account | Qty | Blow/y | Net/y P50 (MC) | Median TTP | Status |
|---|---|---|---|---|---|
| 50K FP | 1 ct | 1.65% | $1,743 | 343d | SAFE |
| 100K FP | 2 ct | 3.81% | $3,486 | 343d | SAFE |
| 150K FP | 3 ct | 3.81% | $5,229 | 343d | SAFE |
Monte Carlo, 1,500 paths, 3-year horizon, input Apr 2025 – Sep 2026. Forecast layer, separate from modeled and live results above. Drawdown floor: end-of-day trailing.
100K FP preset (5 ct) · standalone
4.71 PF · 81.8% Win rate · $3,055 Max DD (EOD) · 2.80 Sharpe
Equity curve · modeled + live
Daily P&L applied to the $100,000 starting balance at the 100K FP preset (5 ct), log scale. Gray = modeled (2025-04-01 → 2026-03-31); accent = live (2026-04-01 → 2026-09-30), right of the “LIVE →” marker.
Modeled 12 months (Apr 2025 – Mar 2026) · detail
Quarterly breakdown · modeled Q2'25–Q1'26, live since Q2'26
| Quarter | Layer | Net | WR | Trades | Max DD (EOD) |
|---|---|---|---|---|---|
| Q2'25 | modeled | +$5,115 | 83.3% | 6 | $1,460 |
| Q3'25 | modeled | +$362 | 62.5% | 8 | $1,595 |
| Q4'25 | modeled | +$5,938 | 100.0% | 5 | $0 |
| Q1'26 | modeled | +$7,908 | 80.0% | 10 | $1,185 |
| Q2'26 live | live | +$8,032 | 100.0% | 6 | $0 |
| Q3'26 live | live | +$4,015 | 77.8% | 9 | $2,870 |
Drawdowns are EOD basis; intrabar peak-to-trough runs higher. Live quarters are real-account results at the same preset.
Stats · modeled and live, separately
| Layer | Avg win / loss | W:L | Largest win / loss | Max DD EOD | Sharpe | Sortino | Calmar | Avg bars |
|---|---|---|---|---|---|---|---|---|
| Modeled Apr 2025 – Mar 2026 | $1,046 / −$790 | 1.32 | $2,678 / −$1,460 | $3,055 (3.06%) | 2.93 | 7.54 | 6.32 | 39.2 |
| Live Apr 2026 – Sep 2026 | $1,213 / −$1,860 | 0.65 | $2,065 / −$2,870 | $2,870 (2.87%) | 2.68 | 5.17 | 8.40 | 34.0 |
TradeZella merges partial exits into one position, so its trade count runs below the TradingView trade list; net P&L matches to the dollar.
Account sizing · Monte Carlo 1,500 paths × 3y
| Account | Qty | Blow/y | Net/y P50 (MC) | Median TTP | Status |
|---|---|---|---|---|---|
| 50K FP | 3 ct | 1.93% | $8,444 | 69d | SAFE |
| 100K FP | 5 ct | 2.39% | $14,074 | 82d | SAFE |
| 150K FP | 8 ct | 4.49% | $22,518 | 77d | SAFE |
Monte Carlo, 1,500 paths, 3-year horizon, input Apr 2025 – Sep 2026. Forecast layer, separate from modeled and live results above. Drawdown floor: end-of-day trailing.
100K Swing preset (12 lot) · standalone
3.09 PF · 81.6% Win rate · $3,449 Max DD (EOD) · 2.00 Sharpe
Equity curve · modeled + live
Daily P&L applied to the $100,000 starting balance at the 100K Swing preset (12 lot), log scale. Gray = modeled (2025-04-01 → 2026-03-31); accent = live (2026-04-01 → 2026-09-30), right of the “LIVE →” marker.
Modeled 12 months (Apr 2025 – Mar 2026) · detail
Quarterly breakdown · modeled Q2'25–Q1'26, live since Q2'26
| Quarter | Layer | Net | WR | Trades | Max DD (EOD) |
|---|---|---|---|---|---|
| Q2'25 | modeled | +$6,686 | 83.3% | 6 | $1,703 |
| Q3'25 | modeled | +$173 | 71.4% | 7 | $1,535 |
| Q4'25 | modeled | +$6,023 | 100.0% | 4 | $0 |
| Q1'26 | modeled | +$9,737 | 80.0% | 10 | $2,687 |
| Q2'26 live | live | +$2,640 | 100.0% | 3 | $0 |
| Q3'26 live | live | +$3,328 | 75.0% | 8 | $3,449 |
Drawdowns are EOD basis; intrabar peak-to-trough runs higher. Live quarters are real-account results at the same preset.
Stats · modeled and live, separately
| Layer | Avg win / loss | W:L | Largest win / loss | Max DD EOD | Sharpe | Sortino | Calmar | Avg bars |
|---|---|---|---|---|---|---|---|---|
| Modeled Apr 2025 – Mar 2026 | $1,358 / −$1,452 | 0.94 | $3,327 / −$2,687 | $3,238 (3.24%) | 2.44 | 5.50 | 6.99 | 77.0 |
| Live Apr 2026 – Sep 2026 | $1,376 / −$3,209 | 0.43 | $2,396 / −$3,449 | $3,449 (3.45%) | 1.20 | 1.68 | 3.46 | 81.1 |
TradeZella merges partial exits into one position, so its trade count runs below the TradingView trade list; net P&L matches to the dollar.
Account sizing · Monte Carlo 1,500 paths × 3y
| Account | Qty | Blow/y | Net/y P50 (MC) | Median TTP | Status |
|---|---|---|---|---|---|
| 50K Swing | 6 lot | 0.11% | $6,323 | 153d | SAFE |
| 100K Swing | 12 lot | 0.11% | $12,646 | 153d | SAFE |
| 200K Swing | 24 lot | 0.11% | $25,293 | 153d | SAFE |
Monte Carlo, 1,500 paths, 3-year horizon, input Apr 2025 – Sep 2026. Forecast layer, separate from modeled and live results above. Drawdown floor: static; swing account, positions may be held overnight.
100K Swing preset (0.25 lot) · standalone
2.37 PF · 68.6% Win rate · $2,519 Max DD (EOD) · 1.64 Sharpe
Equity curve · modeled + live
Daily P&L applied to the $100,000 starting balance at the 100K Swing preset (0.25 lot), log scale. Gray = modeled (2025-04-01 → 2026-03-31); accent = live (2026-04-01 → 2026-09-30), right of the “LIVE →” marker.
Modeled 12 months (Apr 2025 – Mar 2026) · detail
Quarterly breakdown · modeled Q2'25–Q1'26, live since Q2'26
| Quarter | Layer | Net | WR | Trades | Max DD (EOD) |
|---|---|---|---|---|---|
| Q2'25 | modeled | −$1,149 | 0.0% | 2 | $1,149 |
| Q3'25 | modeled | +$3,239 | 100.0% | 7 | $0 |
| Q4'25 | modeled | −$487 | 33.3% | 3 | $628 |
| Q1'26 | modeled | +$9,075 | 84.6% | 13 | $1,501 |
| Q2'26 live | live | +$1,247 | 66.7% | 3 | $997 |
| Q3'26 live | live | +$449 | 42.9% | 7 | $2,519 |
Drawdowns are EOD basis; intrabar peak-to-trough runs higher. Live quarters are real-account results at the same preset.
Stats · modeled and live, separately
| Layer | Avg win / loss | W:L | Largest win / loss | Max DD EOD | Sharpe | Sortino | Calmar | Avg bars |
|---|---|---|---|---|---|---|---|---|
| Modeled Apr 2025 – Mar 2026 | $804 / −$766 | 1.05 | $2,196 / −$1,501 | $1,501 (1.50%) | 2.19 | 4.78 | 7.11 | 64.1 |
| Live Apr 2026 – Sep 2026 | $1,225 / −$885 | 1.38 | $1,426 / −$997 | $2,519 (2.52%) | 0.64 | 1.10 | 1.35 | 64.7 |
TradeZella merges partial exits into one position, so its trade count runs below the TradingView trade list; net P&L matches to the dollar.
Account sizing · Monte Carlo 1,500 paths × 3y
| Account | Qty | Blow/y | Net/y P50 (MC) | Median TTP | Status |
|---|---|---|---|---|---|
| 50K Swing | 0.12 lot | 0.00% | $2,678 | 370d | SAFE |
| 100K Swing | 0.25 lot | 0.00% | $5,578 | 351d | SAFE |
| 200K Swing | 0.50 lot | 0.00% | $11,157 | 351d | SAFE |
Monte Carlo, 1,500 paths, 3-year horizon, input Apr 2025 – Sep 2026. Forecast layer, separate from modeled and live results above. Drawdown floor: static; swing account, positions may be held overnight.
Risk disclosure
Modeled Apr 2025 – Mar 2026 plus live Apr 2026 – Sep 2026 at the stated presets. Past performance, modeled or live, does not guarantee future results. Futures and CFD trading involves substantial risk of loss; prop-firm accounts add breach rules (daily/EOD drawdown) that can terminate an account regardless of long-term edge. Size accordingly.
How Open works
Open targets the range expansion that occurs after market open. After a defined opening range establishes, the strategy waits for a breakout before any position is opened. The exact qualification filters, entry triggers and exit logic are proprietary and hardcoded in the script.
Open works across MNQ, MGC, NAS and XAU. Trade frequency is similar across instruments, with MGC trading somewhat less often; the per-instrument numbers, modeled and live separately, are in the sections above.
On the futures presets (MNQ, MGC) the EOD guard closes any open position before the session ends, to avoid overnight exposure.
Futures sizing is calibrated for EOD Trailing prop firm accounts, where the trailing drawdown locks at close-of-day. The smallest presets carry the lowest modeled blow rate on both futures tracks — bigger size means faster funding and higher tail risk. Current blow rates per account size are in the sizing tables above.
How these numbers were calculated
Trade counts, win rates, profit factors, drawdown values come directly from TradingView Strategy Tester for the baseline preset shown. Verify by running the strategy in your own TradingView after purchase — numbers match 1:1.
DD%, SL%, payout potential : blow ratio and percentile breakdowns are computed from the same trade list using industry-standard methodology. Anyone with the raw trade list can reproduce these in Excel or Python.
Time-to-payout, Pay/y, Net $/y, Blow rate, and Viability in the sizing table come from a 1,500-path Monte Carlo v6 simulation over a 3-year horizon. Block bootstrap (5-day blocks) preserves serial autocorrelation of trade streaks.
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