Signal Projection Explorer

Many traders focus on building full strategies right away — combining entries, exits, stop-losses, take-profits, filters, and position sizing.

But there is a problem with that approach:

👉 It often hides the true quality of the underlying signal.

When multiple layers are added on top (risk management, opposite signals, overlays), it becomes very difficult to answer a simple but critical question:

“Is this signal actually good on its own?”

🎯 What this indicator does

This tool is designed to analyze raw signals in isolation.

Instead of jumping straight into a full strategy, it lets you explore:

👉 What tends to happen to the price after a signal occurs?

🔍 How it works

The script detects signals in historical data (Golder Cross in this script).
It collects all occurrences of those signals.
For each signal, it tracks price performance over the next X bars.
It then builds a distribution of outcomes and projects it forward from the current price.

📈 What you see on the chart

Instead of a single prediction, you get a range of historical outcomes:

🔴 Worst P&L → maximum adverse move after the signal
🟢 Best P&L → best-case outcome
🔵 25th percentile → lower bound of typical outcomes
🟠 75th percentile → upper bound of typical outcomes
⚪ Mean → average path
🟣 Median → typical (robust) path

All of these are projected forward from the current price, giving you an intuitive view of possible scenarios.

📋 Stats Table

The table summarizes key metrics at the selected projection horizon:

Number of signals used
Final P&L for each line (Worst / Best / Percentiles / Mean / Median)
Distribution metrics like Spread and IQR

This gives you a quick read on:

Expected return
Risk range
Outcome dispersion

🧠 Why this matters

This tool helps you:

Separate signal quality from strategy complexity
Understand risk vs reward before adding filters
Avoid overfitting strategies on weak signals
Build better systems from strong foundations

⚠️ Important note

This is not a prediction tool.
It shows historical tendencies based on past signals — not guaranteed future outcomes.

Always use it as:

a research tool
a context layer
not a standalone trading system

🚀 Final thought

Before optimizing entries, exits, and risk…

👉 Make sure your signal itself has an edge.

This indicator helps you see that clearly.

發行說明

fix for replay bars

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QuantNomad

Quant Developer | Pine Script v6 | Python & R
12+ yrs system. trading, hedge fund experience

Indicators, strategies & screeners
Futures & options

💼 Hire/Consulting:
qntly.com/hire

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開源腳本

QuantNomad

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