EGX Signal Track Record, Verified Daily Accuracy
The signal track record shows the actual outcome of every positive or negative signal emitted by the FoudaLens model, tracked at 5, 10, and 20 trading days. You don't just see aggregate numbers, every individual signal is listed with its stock, issue date, price, and outcome at each window, so you can judge the model for yourself. Data is written to the DB before signals are shown to users, with no retroactive edits. This is the foundation of our trust model: full transparency instead of unverifiable claims.
Log in to see the full feature
What you get
Every signal documented
Stock, signal date, price, type (positive/negative), and outcome at 5/10/20 trading days.
Win rate by type
Separate success rates for positive vs negative signals, see the model's strength in each direction.
Average gain & loss
Average gain on winners, average loss on losers, so you can evaluate risk/reward.
Sector & size filters
See how the model performs on large-caps vs small-caps, financials vs industrials, etc.
Full export
CSV download of every signal + metric, work with it in Excel or Python.
Market benchmark
Positive-signal performance relative to EGX30 over the same window, see if the signal beat passive holding.
Get started
FoudaLens delivers comprehensive quantitative analysis of the Egyptian Exchange. Pick the plan that fits and unlock every advanced feature.
Plans start at EGP 250/month, no long-term commitment.
Frequently asked
What does "signal track record" mean?
A full record of every positive or negative signal the FoudaLens model has emitted, with the outcome tracked over a fixed number of trading days. We compute win rate, average return, and max drawdown per signal type.
Over what period is a signal scored?
Every signal is tracked at 5, 10, and 20 trading days after issuance. All three windows are shown so you can see short- and mid-term performance.
What's the difference between positive and negative signals?
A "positive" signal means the model saw favorable conditions. A "negative" signal means factors suggesting a drop. Both are tracked the same way, but success for a negative signal = the stock actually dropped.
How is this verified?
Every signal is persisted to the signal_track_record table before it's shown to users. No retroactive edits. The data is auditable, you can verify any signal's date yourself.