CBDR Compass on Micro Silver (SIL)

Should you use it?

Not recommended

Not recommended

The headline numbers on SIL look good, but the edge isn't robust enough to trade live.

  • The edge is gone with 2 ticks of slippage per side.

Recommended set

SIL · 3-minute bars · Both · Fade at ±1 SD, CBDR window 18:00–20:00 ET · full session, no flatten · 8-tick (0.04 pt, $40) stop · target at the CBDR level

Net profit

+$11,585

1 SIL contract · after commission

Profit factor

1.56

$1.56 won per $1 lost

Max drawdown

$1,490

net / drawdown 7.8 : 1

Win rate

23%

674 trades · 1.3 per day

Per month

+$457

largest loss −$65

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

−$5.0k$0$5.0k$10k$15kJan ’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, $913 over 2026-01-06 → 2026-02-13.
$2.4k−$530$0Aug ’24: −$472 on 31 tradesSep ’24: +$307 on 32 tradesOct ’24: −$530 on 27 tradesNov ’24: +$8 on 28 tradesDec ’24: +$461 on 26 tradesJan ’25: +$146 on 29 tradesJan ’25Feb ’25: +$270 on 27 tradesMar ’25: +$22 on 29 tradesApr ’25: +$486 on 26 tradesMay ’25: +$475 on 30 tradesJun ’25: −$216 on 21 tradesJul ’25: +$192 on 32 tradesJul ’25Aug ’25: −$260 on 30 tradesSep ’25: +$308 on 31 tradesOct ’25: +$1,390 on 27 tradesNov ’25: +$784 on 24 tradesDec ’25: +$2,394 on 27 tradesJan ’26: +$2,374 on 17 tradesJan ’26Feb ’26: +$1,379 on 14 tradesMar ’26: +$1,334 on 27 tradesApr ’26: +$894 on 21 tradesMay ’26: +$904 on 24 tradesJun ’26: +$1,140 on 27 tradesJul ’26: −$157 on 28 tradesJul ’26Aug ’26: +$392 on 29 tradesSep ’26: +$234 on 11 trades
Month by month — 21 of 26 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 1.56 and 7.8 : 1 on 674 trades.
  • Not profitable in every year of the test (2024: −$226, 2025: +$5,990, 2026: +$8,493); 21 of 26 months positive; best 2025-12 (+$2,394), worst 2024-10 (−$530).
  • Long / short split. Longs +$8,335 on 332 trades, shorts +$3,250 on 342.
  • Exposure. Average 22 minutes in the market, 1.3 trades per session; every trade closed within the Globex session it was opened in (0 at the 15:55 flatten, 2 at the 17:00 session close), nothing carried across the 17:00 break or a roll — but note that overnight entries are held through the night session.
  • Walk-forward. The in-sample winner failed forward at 3 of 4 cut-offs. The recommended set was positive forward at 4 of 4 cut-offs (forward PF 1.97–2.36, net/DD 9.3–15.4) and would have passed the in-sample gate at 1 of 4 of them — positive forward but not something an earlier search would have selected.
  • Plateau. 40 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 (22 vs 22); headline figures come from NT8’s own engine.

Set it up in NinjaTrader

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

InputValueNote
Data seriesSIL, 3 Minute, LastFront-month contract; NT8 merge policy “MergeBackAdjusted” supplies the history.
Mode (CBDR Strategy)FadeDefault Fade. A touch of the ±k SD level is faded back toward the box; one attempt per side per window.
Trigger Level1Default 2 (k = 1–4 SD of the range).
DirectionBothLongs 332 / shorts 342 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 / 80.04 SIL points = $40 per contract before slippage.
Target Unit / Target Ticks (Risk)Ticks / 8 (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)falseWhole ETH session.
Use Flatten Time / FlattenfalsePositions run to stop, target or the 17:00 session close.
Max Trades Per Day00 = unlimited.
Analyzer: order fill resolutionHigh, 1 MinuteMatches the runs in this report; commission template “NinjaTrader Brokerage Free” (≈ $0.00 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)+$11,585+$34,755
Gross profit / gross loss$32,275 / −$20,690$96,825 / −$62,070
Commission paid$0$0
Profit factor1.561.56
Max drawdown$1,490$4,470
Net / max drawdown7.8 : 17.8 : 1
Profit per month+$457+$1,371
Average winner / loser$204 / −$40$613 / −$120
Largest loss−$65−$195
Worst losing streak (22 trades)−$882−$2,646
Risk per trade at the stop$40 + costs$120 + costs
Suggested risk capital (≈ 3 × max drawdown)$4,470$13,410

Year by year

yeartradesnetPFwin
2024144−$2260.9531%
2025333+$5,9901.6231%
2026198+$8,4932.1914%
in-sample (→ 2025-12-31)478+$5,7231.41net/DD 6.3
out-of-sample (2026)198+$8,4932.19net/DD 9.3

How robust is it?

Walk-forward check

The in-sample winner held up forward at 1 of 4 cut-offs; the recommended set was positive forward at 4 of 4 and would have passed the gate at 1 of 4. It works forward but was identified with the whole period in view — discount the headline accordingly.

Monte Carlo

The observed drawdown ($913) sits at the low end of what the same daily results could have produced — 87% of resampled histories draw down further, and 1 in 20 reaches $2,082 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 98% of them. Reordering the same trades (second row) moves the drawdown a lot: the 95th-percentile sequence-risk drawdown is $2,192. Size the account on the 95th-percentile drawdown ($2,082 per contract) plus margin, not on the observed $913, and expect up to 155 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 ETH336−$2,1040.95$5,64135%
2m Both S40t T80t Fade L2 cbdr1600-2000 ETH336−$8,6290.80$9,94034%
3m Both S40t T80t Fade L2 cbdr1600-2000 ETH334−$5,5910.87$7,72734%
5m Both S40t T80t Fade L2 cbdr1600-2000 ETH330−$4,3950.89$7,36635%
10m Both S40t T80t Fade L2 cbdr1600-2000 ETH332−$8,5830.80$9,85235%
15m Both S40t T80t Fade L2 cbdr1600-2000 ETH327−$3,9160.90$7,48636%
30m Both S40t T80t Fade L2 cbdr1600-2000 ETH331−$8,8520.79$10,19034%

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. 40 of 72 neighbouring stop/target cells pass — the set sits on a broad plateau.
  • Instrument-specific. Stops and targets are in SIL 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.

Toreda does not offer or provide trading or investment recommendations. The AI Coach feature provides analytical insights based on your own trade history — it does not recommend specific trades, securities, or strategies. Any trading or investment decisions you make are entirely your responsibility and at your own risk. The results of any services provided by Toreda are directly related to each individual's professional skill level, trading discipline, and their capacity to apply the insights provided.

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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