US indices: a proven edge
The daily dip strategy on US500, US100 and US30 was positive in both years, on every risk profile, and never reached its drawdown halt.
Back to RezSync Algo
RezSync Algo backtest
How the harness performs,market by market, with every number open.
Two years of the broker's own prices (2024-10-24 to 2026-10-24), real spreads, commission and swap, every setup evaluated and every trade listed. The rules that win, the markets that don't yet, and how the risk engine and the AI fit on top.
- US indices, Moderate, two years
- +32.0%
- its largest drawdown
- 4.7%
- profiles reached the index drawdown halt
- 0 of 3
Read this first
Simulated results, honestly labelled.
These are the trades RezSync Algo's rule harness would have taken, executed by a simulator on past broker prices. No real money was traded. In the live product an AI reviews every setup and may decline it or take others; its effect is not included here and has not yet been measured. Past results do not predict future results. Trading leveraged products carries a high risk of loss. This is not investment advice.
Gold and FX: reduced risk, under evaluation
No proven edge yet. Gold was the weakest market; FX was about break-even. They trade at half the profile's risk while the AI's judgement is measured against the rules.
A risk engine that holds
Every profile's per-trade risk, open-position limit, daily loss pause and drawdown halt held exactly in simulation. The halt is what limits a losing streak.
Risk profiles
What each profile means.
Actual risk per trade = the profile's risk × the market multiplier (reduced further in high volatility). Traders can also build custom profiles. In the market tables below, each year is also run as its own fresh account; the two-year column is one continuous account, which stops for good if its drawdown halt is reached.
| Profile | Risk per trade | Max open | Daily loss pause | Drawdown halt | Min AI confidence | Target | Multipliers (indices / gold / FX majors) |
|---|---|---|---|---|---|---|---|
| Conservative | 1.0% | 5 | 2.0% | 8% | 70% | 2.5R | 0.8 / 0.5 / 0.5 |
| Moderate | 1.5% | 8 | 4.0% | 15% | 60% | 2R | 0.9 / 0.5 / 0.5 |
| Aggressive | 2.5% | 12 | 8.3% | 25% | 55% | 2R | 1 / 0.5 / 0.5 |
US indices
The daily dip.
When a US index closes in the bottom fifth of its daily range, buy after the close and exit 35 minutes before the next daily close, with a protective stop of 2.5 × the 20-day average range. Never held over a weekend. 1-year typical / bad = the median and the worst 5% of 2,000 simulated years.
| Profile | Risk per trade | Trades | Year 1 (own account) | Year 2 (own account) | Two years (one account) | Max drawdown | Halt reached | 1-year typical / bad |
|---|---|---|---|---|---|---|---|---|
| Conservative | 0.80% | 264 | +6.7% | +10.5% | +17.9% | 2.8% | never | +8.5% / +0.6% |
| Moderate | 1.35% | 264 | +11.5% | +18.4% | +32.0% | 4.7% | never | +14.7% / +1.0% |
| Aggressive | 2.50% | 264 | +22.0% | +36.5% | +66.5% | 8.6% | never | +28.6% / +1.7% |
Metals
Gold and silver.
An H4 supply or demand zone; price returns and an M15 bar closes back out of it; market entry, stop beyond the zone, target 2R (2.5R on Conservative), stop to breakeven at 45% of the way. Half the profile's risk.
| Profile | Risk per trade | Trades | Year 1 (own account) | Year 2 (own account) | Two years (one account) | Max drawdown | Halt reached | 1-year typical / bad |
|---|---|---|---|---|---|---|---|---|
| Conservative | 0.50% | 194 | -1.6% | -0.1% | -1.7% | 6.1% | never | -1.0% / -10.2% |
| Moderate | 0.75% | 201 | -9.2% | -2.4% | -11.3% | 12.7% | never | -6.1% / -17.2% |
| Aggressive | 1.25% | 204 | -15.0% | -3.5% | -18.0% | 21.3% | never | -9.5% / -27.4% |
FX
EURUSD, GBPUSD, USDJPY, AUDUSD.
The same rules as metals, at half the profile's risk.
| Profile | Risk per trade | Trades | Year 1 (own account) | Year 2 (own account) | Two years (one account) | Max drawdown | Halt reached | 1-year typical / bad |
|---|---|---|---|---|---|---|---|---|
| Conservative | 0.50% | 163 | -5.2% | +4.9% | -5.2% | 8.6% | 2025-08-13 | -1.1% / -14.1% |
| Moderate | 0.75% | 170 | -13.3% | +12.1% | -13.3% | 16.3% | 2025-08-13 | -3.7% / -19.3% |
| Aggressive | 1.25% | 171 | -22.5% | +19.1% | -22.5% | 26.8% | 2025-08-13 | -7.5% / -31.4% |
One account
All markets together.
Indices, metals and FX on one account, sharing the profile's open-position limit, daily loss pause and drawdown halt.
| Profile | Trades | Two years | Max drawdown | Halt reached | 1-year typical | 1-year bad (5%) | Chance of reaching the halt in a year |
|---|---|---|---|---|---|---|---|
| Conservative | 902 | +16.8% | 7.0% | never | +6.2% | -12.6% | 73% |
| Moderate | 201 | -14.8% | 15.7% | 2025-04-06 | +4.1% | -21.8% | 51% |
| Aggressive | 201 | -24.3% | 25.4% | 2025-04-06 | +7.7% | -34.1% | 49% |
Per symbol
Every market, every year.
Average result per trade in R (1R = the amount risked). Year 1 ends 2025-10-24. With about 60 trades a symbol a year, one year's average can differ by about 0.15R by chance alone.
| Symbol | Group | Year 1 trades | Year 1 | Year 2 trades | Year 2 |
|---|---|---|---|---|---|
| US500 | US indices | 41 | +0.06R | 39 | +0.11R |
| US100 | US indices | 39 | +0.07R | 43 | +0.08R |
| US30 | US indices | 53 | +0.06R | 49 | +0.10R |
| XAUUSD | Metals | 47 | -0.16R | 55 | -0.15R |
| XAGUSD | Metals | 55 | -0.09R | 44 | +0.12R |
| EURUSD | FX | 61 | +0.10R | 67 | +0.12R |
| GBPUSD | FX | 55 | +0.04R | 72 | +0.12R |
| USDJPY | FX | 61 | -0.18R | 58 | -0.00R |
| AUDUSD | FX | 61 | -0.36R | 51 | -0.01R |
The AI
The harness is the core. The AI is the judgement on top.
In the live product an AI receives everything the harness sees: every timeframe, the major levels and intraday range, supply and demand zones, swing structure, the economic calendar and news, account and broker limits. It can take the harness setup, decline it, or take another clean setup on any timeframe. Every AI decision passes the same deterministic risk gates. Its contribution beyond the harness is being measured in forward testing, and this page will be updated with that comparison.
Nothing on this page includes the AI's decisions. The figures show what the rules alone would have done.
Method
How the test was done.
- Every closed M15 bar (daily bar for the index strategy) evaluated; nothing sampled; rules written down before each test.
- Fills on 1-minute broker bars; when one minute touches both stop and target, the stop is assumed first.
- Costs: the broker's bid/ask spread measured by hour of day, commission per market, and the broker's swap rates.
- Random-entry baselines and separate year-1 / year-2 results separate edge from chance; a Monte Carlo of 2,000 simulated years estimates typical and bad years.
- Not simulated: the AI layer, slippage beyond the measured spread, broker outages.
Research record
Everything we tested, including what failed.
Most trading ideas do not survive honest testing. These are the ones we tried in October 2026 and what happened.
| Idea | Markets | Result |
|---|---|---|
| H4 supply/demand zones (the original harness) | Gold, FX, indices | about random (25% vs 23% reach +2R) |
| Previous day/week highs and lows, round numbers | 7 symbols | no better than shifted fake lines |
| Multi-touch major levels (marked as traders mark them) | 7 symbols | no better than shifted fake lines, with or without EMA trend |
| Fading or breaking H4 zones | 6 symbols | lose (-0.13R) |
| Intraday M15 ranges: fade, breakout, failed breakout | 6 symbols | about random, also before costs |
| Opening-range breakouts (London, New York) | Gold | fail |
| Intraday momentum (first half hour) | US indices | fails in 2024-26 |
| Trend following 55/20, 24 markets | 24 markets | fails after costs and swap |
| London sweep of the Asian range (ICT/TJR) | Gold, FX | loses (-0.13 to -0.16R) |
| ICT Silver Bullet | Gold, US indices | about random |
| Internal bar strength (daily dip) | US indices | PASSED: positive in every period |
| FX 4pm fix reversal, month-end | 6 FX pairs | strong 2024-26, flat 2021-24: watch list |
| Break and retest with the trend (M15/H1/H4) | 6 symbols | about random, also before costs |
| Rule designed from the data (year 1), validated on year 2 | Gold, FX | passed year 1, failed year 2 |
| Range break-retest and strong sweep-rejection (M5) | 6 symbols | lose |
| Top-down: two-year H4 zones + M15 entries | 6 symbols | about break-even, same at fake zones |
| Order-flow ideas: stop/target clusters, cascades, fix windows | 6 symbols | no edge at retail costs |
| Kronos market foundation model (direction / volatility) | Gold, EURUSD | direction a coin flip; volatility mixed |
| Take profit at the next level vs fixed 2R | 6 symbols | no method better; fixed 2R kept |
| Trade management (breakeven, partial, trailing, 1:1) | 6 symbols | all within 0.02R; current kept |
Downloads
Check every number yourself.
Generated 2026-10-25. The manifest lists the app commit, the exact command and a SHA-256 fingerprint of every data set, so the run can be reproduced.
- Full report (PDF)
- Full report (HTML)
- Every trade (CSV)
- Figures (JSON)
- Data fingerprints and method (manifest)
RezSync Africa Limited provides software. Simulated results have inherent limits: they are produced with hindsight of the rules, involve no financial risk and cannot account for all market factors. Nothing here is an offer, a recommendation or a promise of results.
Next step
Start on demo, keep control.
Connect a demo account, choose a risk profile and review every decision before anything goes live.