Track record

4 strategies. 5 years. Judge for yourself.

We backtested four approaches across 249 ASX small caps from March 2021 to March 2026. Every result is here — the wins and the losses.

Pick Your Approach

Four strategies, same market data, different risk appetites. Click any card to see its full performance breakdown below.

Important: These are backtested results using 5 years of historical data (Mar 2021 – Mar 2026), 249 ASX small-cap stocks, net of 1% transaction costs. Past performance is not indicative of future results. Paper-tracked model portfolios — not real trading accounts. SCD Labs does not hold an Australian Financial Services Licence (AFSL). All information is for educational purposes only.
⚠ Statistical robustness — read before drawing conclusions

The backtest above is a portfolio simulation. The same backtest file also runs statistical robustness checks that significantly qualify the headline numbers:

  • Deflated Sharpe Ratio = 0.0 — the file's own interpretation flag reads "likely_noise". The deflated Sharpe adjusts for multiple-strategy testing and overfitting; a value of 0 means the observed performance is not statistically distinguishable from chance after adjustment.
  • Per-trade Information Coefficient is not statistically significant at the 5% level across 5-day, 10-day, or 20-day horizons (p = 0.34 / 0.71 / 0.99).
  • Return concentration: the top 5% of trades produced 45.1% of all profit. Excluding the top 5%, the strategy's net return is negative.
  • Cost edge is thin: per-trade breakeven cost is 0.72% round-trip; live trading typically costs ~1%, putting the strategy below the cost-edge boundary on a per-trade basis.
  • Survivorship bias: the universe includes the current watchlist. The file's own disclosure estimates 1.5–3 percentage points per annum of survivorship-related uplift.

In plain English: the +X% portfolio return is real as a simulation, but the strategy has not demonstrated statistically significant skill once we account for multiple testing, outlier concentration, and cost. This is exactly why we are building a live track record — it removes these biases.

Choose Your Strategy →

How We Tested This

We checked if our scores actually work — no cheating allowed

We went back through 5 years of real stock market data and pretended to run our scoring system each day. The important rule: on each day, we only used information that was actually available at the time. No peeking at tomorrow's prices. Then we checked — did the high-scoring stocks actually go up after 1 week, 2 weeks, and 1 month?

We left out annual report data on purpose. Those reports come out months late, so using them would be like reading tomorrow's newspaper — that's cheating.

Live Signal Tracking

We're building a real track record — it takes time

📈
Right now, we're tracking every high-scoring signal as it happens in real time. Once we've got 200+ completed results, we'll show the real win rates and returns right here. No cherry-picking — every signal counts, good or bad.
Each signal gets automatic safety levels that move up as the stock rises — locking in gains and limiting losses.

How We Track

Three simple steps, same process every time

01

We Spot a Signal

When a stock scores high enough, we write down the price and start the clock. Everyone can see it — no hiding.

02

We Set a Safety Net

Each signal gets an automatic safety level. If the stock goes up, the safety level moves up too — like a rising floor that protects your gains.

03

We Record the Result

Win, lose, or draw — we log it all. Hit the target? Great. Hit the safety net? Recorded. Ran out of time after 45 days? Also recorded. Nothing hidden.

Stocks scanned daily
Total signals scored
6x
Scans per trading day
4
Strategies backtested

Past performance is not indicative of future results. These metrics reflect historical algorithmic screening outcomes and do not guarantee future returns. Signals are data points, not recommendations.

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