Supply Scout on Micro E-mini S&P 500 (MES)

Should you use it?

Use with caution

Usable, with caveats

It meets the brief on MES, 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.

One of the 9 bots chosen to run together in a single account — trading 09:30–11:00.

Recommended set

MES · 3-minute bars · Short · Periods 3, Body breaks · 09:30–11:00 ET entry window · 35-tick (8.75 pt, $44) stop · 115-tick (28.75 pt, $144) target

Net profit

+$4,762

1 MES contract · after commission

Profit factor

1.30

$1.30 won per $1 lost

Max drawdown

$966

net / drawdown 4.9 : 1

Win rate

31%

513 trades · 1.0 per day

Per month

+$188

largest loss −$46

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

$0$2.0k$4.0k$6.0kJan ’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, $950 over 2025-04-21 → 2025-06-18.
$782−$368$0Aug ’24: +$652 on 16 tradesSep ’24: +$130 on 22 tradesOct ’24: +$398 on 17 tradesNov ’24: +$782 on 14 tradesDec ’24: −$50 on 19 tradesJan ’25: +$11 on 22 tradesJan ’25Feb ’25: +$310 on 18 tradesMar ’25: +$175 on 21 tradesApr ’25: +$414 on 24 tradesMay ’25: −$368 on 23 tradesJun ’25: −$362 on 20 tradesJul ’25: +$336 on 17 tradesJul ’25Aug ’25: −$96 on 23 tradesSep ’25: −$64 on 22 tradesOct ’25: +$504 on 22 tradesNov ’25: +$774 on 25 tradesDec ’25: +$181 on 20 tradesJan ’26: −$64 on 18 tradesJan ’26Feb ’26: +$408 on 20 tradesMar ’26: −$239 on 26 tradesApr ’26: +$166 on 14 tradesMay ’26: −$228 on 14 tradesJun ’26: +$782 on 20 tradesJul ’26: +$188 on 29 tradesJul ’26Aug ’26: +$302 on 20 tradesSep ’26: −$74 on 7 trades
Month by month — 17 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 1.30 and 4.9 : 1 on 513 trades.
  • Profitable in every calendar year of the test (2024: +$1,912, 2025: +$1,814, 2026: +$1,240); 17 of 26 months positive; best 2026-06 (+$782), worst 2025-05 (−$368).
  • Long / short split. Longs $0 on 0 trades, shorts +$4,762 on 513.
  • Exposure. Average 55 minutes in the market, 1.0 trades per session; every trade closed within the Globex session it was opened in (17 at the 15:55 flatten, 5 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 1.22–1.37, net/DD 2.7–5.4) 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. 8 of 72 stop/target cells in the same family pass PF > 1 and net/DD ≥ 3 over the full period — a narrow ridge.
  • Verified. The replica behind the sweep matched NT8’s trade count on the validation window (252 vs 252); headline figures come from NT8’s own engine.

Set it up in NinjaTrader

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

InputValueNote
Data seriesMES, 3 Minute, LastFront-month contract; NT8 merge policy “MergeBackAdjusted” supplies the history.
Direction (Demand/Supply)ShortLongs 0 / shorts 513 trades.
Periods3Default 5.
Break TypeBodyDefault WickBody.
Stop Unit / Stop Ticks (Risk)Ticks / 358.75 MES points = $44 per contract before slippage.
Target Unit / Target Ticks (Risk)Ticks / 11528.75 MES points = $144.
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)+$4,762+$14,285
Gross profit / gross loss$20,834 / −$16,073$62,502 / −$48,218
Commission paid$975$2,924
Profit factor1.301.30
Max drawdown$966$2,898
Net / max drawdown4.9 : 14.9 : 1
Profit per month+$188+$564
Average winner / loser$131 / −$45$393 / −$136
Largest loss−$46−$137
Worst losing streak (13 trades)−$590−$1,771
Risk per trade at the stop$44 + costs$131 + costs
Suggested risk capital (≈ 3 × max drawdown)$2,898$8,694

Year by year

yeartradesnetPFwin
202488+$1,9121.7839%
2025257+$1,8141.2230%
2026168+$1,2401.2329%
in-sample (→ 2025-12-31)346+$3,6811.35net/DD 3.9
out-of-sample (2026)168+$1,2401.23net/DD 2.8

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 ($950) sits at the middle end of what the same daily results could have produced — 47% of resampled histories draw down further, and 1 in 20 reaches $1,644 or more. The edge is not in doubt in this sample: 0.2% of resampled histories end below zero and the 3 : 1 brief holds in 80% of them. Reordering the same trades (second row) moves the drawdown a lot: the 95th-percentile sequence-risk drawdown is $1,542. Size the account on the 95th-percentile drawdown ($1,644 per contract) plus margin, not on the observed $950, and expect up to 188 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 P5 Wick ETH5,282−$17,6200.90$19,32234%
2m Both S40t T80t P5 Wick ETH4,330−$13,3900.91$14,60634%
3m Both S40t T80t P5 Wick ETH3,758−$7,0960.94$8,27735%
5m Both S40t T80t P5 Wick ETH3,002−$3,9470.96$5,59535%
10m Both S40t T80t P5 Wick ETH2,117−$4,4980.94$6,84534%
15m Both S40t T80t P5 Wick ETH1,666−$9,8640.83$10,04732%
30m Both S40t T80t P5 Wick ETH1,099−$4,9150.87$5,53733%

Know before you trade it

  • Selection bias. 105,840 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. 8 of 72 neighbouring stop/target cells pass — the set sits on a narrow ridge; small drifts in volatility could move it off.
  • Instrument-specific. Stops and targets are in MES 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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