The signal track record shows the actual outcome of every buy or avoid 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.
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Stock, signal date, price, type (buy/avoid), and outcome at 5/10/20 trading days.
Separate success rates for buy vs avoid signals — see the model's strength in each direction.
Average gain on winners, average loss on losers — so you can evaluate risk/reward.
See how the model performs on large-caps vs small-caps, financials vs industrials, etc.
CSV download of every signal + metric — work with it in Excel or Python.
Buy signal performance relative to EGX30 over the same window — see if the signal beat passive holding.
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A full record of every buy or avoid 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.
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.
A "Buy" signal means the model saw favorable conditions for entry. An "Avoid" signal means negative factors suggesting a drop. Both are tracked the same way — but success for avoid = the stock actually dropped.
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.