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Indices · NAS100 CFD · 15 minutesSignals live

NAS100 ORB — Mystic · Classic (NAS100 CFD)

Try risk free for 30 daysIts signals go to your broker or prop-firm account

Performance

The full backtest: return, drawdown and the curve behind them. Hypothetical, not an account result.

Backtest equity curveSimulated
▬ Backtest▬ Forward test, since December 2024

Hypothetical: the rules replayed on real past prices. Data through Oct 2026. The curve then continues with 5 trades closed from the strategy's live signals, on the same 0.5% risk basis. Past performance does not predict future results.

Backtest return
+127%
+18.8% per year
Max drawdown
15.6%
deepest fall from a peak
Win rate
57%
of backtest trades
Trades
2,003
in the backtest

Full period (backtest)

Data through Oct 2026
Total return
+127%
over 6.8 yrs
Per year
+18.8%
simple average, no compounding
Max drawdown
15.6%
deepest fall from a peak
Worst single trade
-4.3%
of the account, at this size
Calmar
1.20
per-year return ÷ max drawdown
Win rate
57%
Trades
2,003
Backtest period
6.8 yrs
Jan 2020 to Oct 2026

Backtest on historical prices, not a funded-account result · Jan 2020 to Oct 2026 · 2,003 trades · sized so an average losing trade costs about 0.5% of a $100K account, no compounding · commission as charged by the backtest · 2 ticks slippage per trade in the backtest. Past performance does not predict future results.

How to read these numbers
  • Sizing. "0.5% risk" means the average losing trade costs about 0.5% of the account. It is not a stop-loss limit: the worst single trade shown above is several times larger.
  • Max drawdown. The deepest fall from a high point of the account. Open trades are counted at their worst moment, so it is a cautious figure.
  • Calmar. Average yearly return divided by max drawdown. Higher means more return for each unit of pain.
  • Backtest. The strategy's rules run over past prices. Real trading has slippage, delays and gaps that a backtest can miss.

Results split

Backtest, forward test and live signals side by side, each with its own sample size and assumptions.

Three kinds of result, kept apart

Three columns, never averaged into one number.

  • BacktestSimulated
    +127%
    total return
    Sample
    2,003 trades · Jan 2020 to Oct 2026
    Assumes
    Rules run over past prices. sized so an average losing trade costs about 0.5% of a $100K account, no compounding · commission as charged by the backtest · 2 ticks slippage per trade in the backtest
  • Forward testLater period
    +37%
    total return
    Sample
    518 trades · since December 2024
    Assumes
    Trades closed from December 2024 on, at the backtest's prices. 0.5% risk, $100K, no compounding. Also counts 5 trades closed from live signals since the backtest data ends.
  • Live signalsReal alerts
    4 of 5
    closed trades won
    Sample
    5 closed trades
    Assumes
    From the strategy's real alerts, before fees and slippage. Not an account result.

Winning trades

Winning trades
4 of 5
closed trades won since our cloud service launched, from the strategy's own alerts

Counted from the prices in the strategy's own signals, before fees and slippage. Not an account result. Past results don't predict future ones.

Backtest vs forward test since December 2024

Backtest
Jan 2020 to Nov 2024
Forward test since December 2024
Dec 2024 to Oct 2026
Trades
1,490
518
Win rate
57%
58%
Total return
+92%
+37%
Per year
+18.7%
+19.7%
Max drawdown
15.6%
9.9%
Profit factor
1.28
1.36

Forward test column includes 5 live trades closed since the backtest data ends, on the same 0.5% risk basis. It updates as each trade closes.

Live signals, ongoing: 4 of 5 closed trades won since our cloud service launched, counted from this strategy's own alerts at signal prices. Updates as each trade closes.

Both columns use the same basis (0.5% risk, $100K, no compounding) and the strategy's own trades at the backtest's prices, split at the date the forward test began. They are not member account results. Past performance does not predict future results.

Recent trades

latest 29, newest first
Dollar figures use a$50,000account risking0.5%per trade.

Position size about 93% of the account, so an average losing trade costs 0.5% of the account.

Trades
29
Win rate
48%
14 won, 15 not
Hypothetical P&L
+$300
sum of trades shown
Best trade
+$645
Worst trade
-$347

Hypothetical, not a member account result. Each trade is re-sized for the account and risk above: one unit of risk is the strategy's average losing trade, and futures trade whole contracts with a one-contract minimum. A futures trade's dollars are its contracts times the contract's dollars per point times the points the trade made. The profit and loss total adds up the trades shown, each sized on its own, so it is not one account running several strategies at once. Backtest and forward-test rows include the backtest's fees and slippage; live-signal rows use the signal prices before costs. The forward test is the period since December 2024, trades the strategies were not tuned on. Prices are the fills in each strategy's own backtest or signal alert. Open a trade to see it on candles, checked against the trade's own prices before they are drawn, and live signals get theirs automatically as the bars arrive. Strategies tested on CFD prices are drawn on NQ bars moved to each trade's price level. Dates are calendar days (exports in central European time, live signals in UTC). Backtest and forward-test rows run through Oct 9, 2026; live-signal rows start Oct 15, 2026. Past performance does not predict future results.

Missed one of these?

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See Automation

Risk

Backtest max drawdown 15.6%, worst single trade -4.3% of the account. Size it to the fall you can sit through, not to the return.

Equity curve at your risk (backtest)

Choose your own account size and risk. The headline above uses an exact 0.5% for every strategy so they compare fairly. Real futures trade in whole contracts, so the futures numbers here can differ from it, and the sizing line shows by how much.

Account

Simulate it on a prop firm

Which prop firm?

Selected: FTMO-style 2-step (phase 1)

Which firm each strategy runs on

NAS100 ORB — Mystic · Classic (NAS100 CFD) · NAS100 CFD

A strategy is only ever simulated on a firm that offers its market. The firm you pick above is used for every strategy it can trade; the rest use the best-fitting firm for their market. Change any of them here.

Fine-tune the firm rules and your protectionsRules as the firm publishes them · protections onShow
Live resultTick a strategy to see the result here.

Rules

$50K account

10% target, 10% static max loss, 5% daily. Phase 2 is not modelled: passing phase 1 is treated as getting funded. Funded-account and payout numbers below are assumptions, not the firm's published terms. Edit them to match your firm's current rules.

Edit rules, fees and payout assumptions
Evaluation
Funded account and payouts (assumptions)
Risk once funded, compared with the evaluation

Evaluation 0.5% per trade, funded 0.25%. Many traders take more risk in the evaluation to pass faster, then cut it once funded to protect payouts. Contracts are still whole numbers, so a small size may round to the same contracts.

Fees (dollars)

Where the firm's price for this size is listed it is used; otherwise the 50K price is scaled by size. Prices come from public listings and change: check the firm's page and type the real price in.

Measure each attempt over

Your automation protections

In the program the automation can stop new entries when a limit is close, so some trades are never taken. That changes every result here, so it is part of the simulation: pass rate, blow-ups, time to pass and payouts all move. Limits you leave blank follow the firm's rules above; the safety buffer stops you earlier than the firm would.

Estimated from each day's closed result, assuming a stop holds the day at its limit. A single trade that runs past the limit before it closes is not saved by a stop, so this leans a little optimistic. The pause after a losing streak and the trading window are not modelled here: they depend on the time of each trade, so real results with them on can differ a little more.

What to expect, in plain English

About 57 of every 100 trades win. A typical winner makes about +0.7R and a typical loser costs about 0.8R (1R = this strategy's average losing trade, so you always know what "normal" looks like). The best trades run to about +2.0R. In any 100 trades, a run of up to 8 losers in a row is normal; the longest in the backtest was 10. It makes about 25 trades a month; the typical hold is 4-24 h.

Win rate
57%
Avg winner
+0.97R
avg loser = -1R
Expectancy
+0.13R
average result per trade, backtest
Trades / month
25
Long / short
54% / 46%

How its trades look on a chart

Representative trades. Candles are generated for illustration, scaled in R with the entry at 0: they show the shape of a typical winner and loser, not real prices or dates.

Typical winner+0.7R
-1Rentry+1Rinout

Dips 0.3R before it works, peaks near +0.9R. Held about 18 bars.

Typical loser-0.8R
-1Rentryinout

Runs +0.3R in your favour at best, then fails to about -0.8R. Held about 13 bars.

Big winner+2.0R
-1Rentry+1R+2Rinout

The top 10% of winners reach about +2.0R. Held about 18 bars.

ILLUSTRATIVE: synthetic candles built from this strategy's median results. Not a real trade, price or date.

Shape of its results

-3R-2R-1R0+1R+2R+3R+4R+5R+6RP10 -1.3Rmedian +0.2RP90 +1.5R

Most trades land between -0.7R and +0.8R; 1 in 10 is worse than -1.3R, 1 in 10 better than +1.5R. Smoothed, in R.

How long it holds a trade

<15 min
0%
15-60 min
12%
1-4 h
33%
4-24 h
44%
1-3 days
11%
3+ days
0%

Most trades are closed within 4-24 h of entry. You do not need to watch the screen.

Month by month (backtest)

YearJFMAMJJASONDYear
20201.31.5-3.12.33.34.6-0.81.03.9-1.72.9-3.411.8%
2021-0.21.54.64.72.51.9-0.44.31.26.0-1.91.025.2%
20224.811.9-2.64.70.20.82.41.2-4.26.15.22.633.1%
20235.22.9-4.91.8-0.61.4-0.7-0.3-0.40.53.1-1.26.8%
20241.4-2.7-0.15.3-1.02.30.37.90.51.7-0.8-2.612.2%
20250.87.2-2.324.6-2.9-2.1-0.20.90.41.40.20.828.8%
20262.53.65.43.50.3-1.5-3.60.4-0.6-1.18.9%

Percent of the account per calendar month, sized so an average loser costs about 0.5% of the account, no compounding. Backtest; losing months happen.

Method

Where the numbers come from, what they assume, and how to trade the strategy.

How these numbers were produced
  • This strategy came out of BERITH, our strategy-discovery engine, which tests many candidates. The numbers above are the full backtest period of a candidate that was kept, so they are not an out-of-sample result.
  • Backtest fills use 1-minute bars to settle which of stop or target was hit first. Costs and slippage are as listed under the results. Real fills differ.
What the backtest assumes
Sizing
sized so an average losing trade costs about 0.5% of a $100K account, no compounding
Costs
commission as charged by the backtest
Slippage
2 ticks slippage per trade in the backtest
Period
Jan 2020 to Oct 2026, 2,003 trades

Trade it on your own account

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Raw backtest data

Every trade of the full backtest exactly as the strategy tester wrote it: exact entry and exit times, prices, exit signal, size, result, excursions and the settings it ran with. Open it in Excel or Google Sheets.

Downloads are for paying members.