CBDR Compass on Micro Dow (MYM)

Should you use it?

Use with caution

Usable, with caveats

It meets the brief on MYM, but read the caveats before trading it — and run it in simulation first.

  • Stayed profitable going forward at 4 of 4 walk-forward cut-offs.
  • Would have been picked in advance at only 2 of 4 cut-offs — the edge was found with the whole period in view.

Recommended set

MYM · 3-minute bars · Both · Continuation at ±3 SD, CBDR window 18:00–20:00 ET · 09:30–11:00 ET entry window · 165-tick (165 pt, $82) stop · target at the CBDR level

Net profit

+$1,292

1 MYM contract · after commission

Profit factor

2.01

$2.01 won per $1 lost

Max drawdown

$170

net / drawdown 7.6 : 1

Win rate

82%

132 trades · 0.2 per day

Per month

+$51

largest loss −$84

One contract · NinjaTrader 8 Strategy Analyzer, Aug 2024 – Sep 2026, after commission.

$0$500$1.0k$1.5kJan ’25Jul ’25Jan ’26Jul ’26
Equity curve — cumulative closed-trade profit, one contract (replica, $0.75/side), 2024-07-31 → 2026-09-11. Shaded: the largest drawdown, $169 over 2025-10-29 → 2025-11-12.
$186−$108$0Aug ’24: +$140 on 4 tradesSep ’24: +$132 on 7 tradesOct ’24: +$44 on 10 tradesNov ’24: +$85 on 5 tradesDec ’24: −$30 on 5 tradesJan ’25: +$54 on 2 tradesJan ’25Feb ’25: −$24 on 4 tradesMar ’25: +$38 on 5 tradesApr ’25: +$7 on 2 tradesJun ’25: +$92 on 3 tradesJul ’25: −$108 on 6 tradesJul ’25Aug ’25: +$69 on 7 tradesSep ’25: +$66 on 7 tradesOct ’25: +$58 on 7 tradesNov ’25: −$48 on 4 tradesDec ’25: +$85 on 9 tradesJan ’26: +$186 on 10 tradesJan ’26Feb ’26: +$5 on 8 tradesMar ’26: +$176 on 4 tradesApr ’26: +$148 on 4 tradesMay ’26: +$35 on 4 tradesJun ’26: −$28 on 4 tradesJul ’26: +$146 on 5 tradesJul ’26Aug ’26: −$46 on 3 tradesSep ’26: +$48 on 2 trades
Month by month — 19 of 25 months positive.

What the numbers say

  • It meets the brief. Target: profit factor above 1.0 and at least 3 : 1 net profit to max drawdown. Result (NT8 Strategy Analyzer, with the “NinjaTrader Brokerage Free” commission template): PF 2.01 and 7.6 : 1 on 132 trades.
  • Profitable in every calendar year of the test (2024: +$370, 2025: +$288, 2026: +$668); 19 of 25 months positive; best 2026-01 (+$186), worst 2025-07 (−$108).
  • Long / short split. Longs +$684 on 79 trades, shorts +$608 on 53.
  • Exposure. Average 32 minutes in the market, 0.2 trades per session; every trade closed within the Globex session it was opened in (2 at the 15:55 flatten, 0 at the 17:00 session close), nothing carried across the 17:00 break or a roll.
  • Walk-forward. The in-sample winner failed forward at 4 of 4 cut-offs. The recommended set was positive forward at 4 of 4 cut-offs (forward PF 1.92–2.97, net/DD 4.5–5.3) and would have passed the in-sample gate at 2 of 4 of them — positive forward but not something an earlier search would have selected.
  • Plateau. 32 of 72 stop/target cells in the same family pass PF > 1 and net/DD ≥ 3 over the full period — a broad plateau.
  • Verified. The replica behind the sweep matched NT8’s trade count on the validation window (32 vs 32); headline figures come from NT8’s own engine.

Set it up in NinjaTrader

Add ToredaCbdrSdStrategy to a MYM 3-minute chart (or the Strategy Analyzer) and change only these inputs — everything else stays at the strategy default:

InputValueNote
Data seriesMYM, 3 Minute, LastFront-month contract; NT8 merge policy “MergeBackAdjusted” supplies the history.
Mode (CBDR Strategy)ContinuationDefault Fade. A close through the ±k SD level is followed toward the next level; one attempt per side per window.
Trigger Level3Default 2 (k = 1–4 SD of the range).
DirectionBothLongs 79 / shorts 53 trades.
Start Hour / Start Minute18 / 0Default 16 / 0 (America/New_York, pinned in the strategy).
End Hour / End Minute20 / 0Default 20 / 0.
Stop Unit / Stop Ticks (Risk)Ticks / 165165 MYM points = $82 per contract before slippage.
Target Unit / Target Ticks (Risk)Ticks / 165 (unused)The strategy targets the CBDR high/low (Fade) or the next SD level (Continuation) for every trade; leave the default.
Use Breakeven / Use Trailfalse / false
Use Time Window (Session)trueWindow 09:30 → 11:00 (America/New_York).
Use Flatten Time / Flattentrue / 15:55Default.
Max Trades Per Day00 = unlimited.
Analyzer: order fill resolutionHigh, 1 MinuteMatches the runs in this report; commission template “NinjaTrader Brokerage Free” (≈ $1.90 per round turn).

1 contract vs 3 contracts

One position at a time, so size scales cleanly: the ratios stay the same and every dollar figure is three times larger.

1 contract3 contracts
Net profit (after commission)+$1,292+$3,877
Gross profit / gross loss$2,577 / −$1,285$7,732 / −$3,855
Commission paid$251$752
Profit factor2.012.01
Max drawdown$170$511
Net / max drawdown7.6 : 17.6 : 1
Profit per month+$51+$154
Average winner / loser$24 / −$54$72 / −$161
Largest loss−$84−$253
Worst losing streak (3 trades)−$161−$482
Risk per trade at the stop$82 + costs$248 + costs
Suggested risk capital (≈ 3 × max drawdown)$511$1,532

Year by year

yeartradesnetPFwin
202431+$3703.1987%
202556+$2881.3777%
202644+$6682.9784%
in-sample (→ 2025-12-31)87+$6581.70net/DD 3.9
out-of-sample (2026)44+$6682.97net/DD 4.7

How robust is it?

Walk-forward check

The in-sample winner held up forward at 0 of 4 cut-offs; the recommended set was positive forward at 4 of 4 and would have passed the gate at 2 of 4. It works forward but was identified with the whole period in view — discount the headline accordingly.

Monte Carlo

The observed drawdown ($169) sits at the low end of what the same daily results could have produced — 70% of resampled histories draw down further, and 1 in 20 reaches $355 or more. The edge is not in doubt in this sample: 0.0% of resampled histories end below zero and the 3 : 1 brief holds in 89% of them. Reordering the same trades (second row) moves the drawdown a lot: the 95th-percentile sequence-risk drawdown is $373. Size the account on the 95th-percentile drawdown ($355 per contract) plus margin, not on the observed $169, and expect up to 49 trading days without a new equity high.

At the default settings

At its defaults the strategy loses on every timeframe tested.

configuration (defaults)tradesnetPFmax DDwin
1m Both S40t T80t Fade L2 cbdr1600-2000 ETH376−$7030.89$1,41320%
2m Both S40t T80t Fade L2 cbdr1600-2000 ETH373−$3640.94$1,11821%
3m Both S40t T80t Fade L2 cbdr1600-2000 ETH367−$580.99$1,43621%
5m Both S40t T80t Fade L2 cbdr1600-2000 ETH352−$5050.92$1,35220%
10m Both S40t T80t Fade L2 cbdr1600-2000 ETH324−$1,1840.79$1,87217%
15m Both S40t T80t Fade L2 cbdr1600-2000 ETH310−$1,3060.76$1,86216%
30m Both S40t T80t Fade L2 cbdr1600-2000 ETH278−$7980.84$1,33116%

Know before you trade it

  • Selection bias. 296,352 configurations were searched; the walk-forward is the only evidence not contaminated by the search. The recommended set was positive forward but earlier searches would not have chosen it.
  • Plateau width. 32 of 72 neighbouring stop/target cells pass — the set sits on a broad plateau.
  • Instrument-specific. Stops and targets are in MYM ticks; do not transfer them to another instrument — each instrument has its own report.
  • Fill assumptions. Both engines fill stops at the stop price and targets on touch; live fills will be worse.
  • Two years, one regime. The sample is Aug 2024 → Sep 2026; behaviour in other regimes is untested.

Getting started

  1. Run it in simulation first with the inputs above and compare the first 100–200 trades against the forward statistics before any live size.
  2. Do not chase the leaderboard. Re-optimising to whatever tops the in-sample ranking is the procedure the walk-forward check shows failing.

Backtest results are hypothetical. They were produced with the benefit of hindsight on historical data, do not represent actual trading, and cannot fully account for slippage, liquidity or the emotional pressure of live trading. Past performance is not indicative of future results. This content is for educational purposes only and is not financial advice. Trading futures involves substantial risk of loss. See our risk disclosure for details.

Disclaimer

Toreda is a product of Bearcat Solutions, a company registered in the U.S. and its affiliates (collectively, the “Company”). Toreda is a trade journaling, performance analytics, and AI coaching platform designed to help traders log, review, and improve their trading. None of the information provided by the Company or contained herein is intended as investment advice, as any offer or solicitation to buy or sell securities of any kind, or as a recommendation, endorsement, or sponsorship of any security, company, or fund. Nothing contained herein constitutes a solicitation of any kind or an offer to buy or sell futures, options, forex, or any other derivative security. The performance dashboards, trade scores, AI coach insights, and analytics provided through Toreda are for informational and educational purposes only and are not intended to be relied upon for making investment decisions. Any use of the information on the Company's websites and platform is strictly at your own risk, and the Company assumes no responsibility or liability for any use or misuse of such information. Past performance is not indicative of future results, and every investment involves risks, including the possibility of total loss of the amount invested. You should always seek professional advice before making any investment decisions. The Company is not a financial broker, financial advisor, financial manager, or a financial representative, and does not accept client deposits.

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Disclosure on Performance Data

The performance metrics, scores, equity curves, and analytics displayed within Toreda are calculated from trade data imported from your connected broker accounts or manually entered by you. These metrics reflect historical results and have inherent limitations. No claim is made that any trading approach tracked in Toreda will achieve or is likely to achieve future profits or losses comparable to those shown. Actual trading results can differ significantly from historical performance data. Performance analytics benefit from hindsight and cannot account for all market factors, emotional decision-making, or evolving market conditions that affect real-time trading. Many factors — including slippage, commissions, market liquidity, and individual execution — can adversely affect actual trading results beyond what is reflected in the platform's analytics.


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