"Most signal services tell you what to trade. They rarely tell you why.
This article is the 'why.' It's a full breakdown of how PipFactor actually generates a signal — from the moment raw data enters the system to the moment you see a confidence score on your dashboard."
What Data the System Ingests
PipFactor runs three independent analysis layers — news intelligence, market regime classification, and strategy generation — each operating on its own logic without contaminating the others.
The news layer scores incoming articles across multiple dimensions:
- Is this genuinely surprising, or already expected?
- Is there a clear causal chain between this event and a specific instrument?
- Is there a real directional implication, or just noise?
Most news fails these filters and gets discarded entirely. What passes through carries a structured impact assessment: affected instruments, directional weight, volatility expectation, and a time window for market reaction.
Separately, the market data layer processes six timeframes simultaneously — W1, D1, H4, H1, M15, M5 — computing a full technical profile for each: EMAs, RSI, MACD, ATR (with a historical volatility percentile), Bollinger Band squeeze ratio, ADX with directional strength, OBV slope, and detailed swing structure analysis.
How Market Regime Detection Works
The Regime Engine classifies the market into one of seven states by resolving the full picture across all six timeframes.
It doesn't just look at the dominant trend; it specifically weighs the conflict between higher and lower timeframes. A market with strong weekly EMAs sloping upward but H1/M15 showing ATR compression, Bollinger Band squeezes, and low ADX is classified as Consolidation — not Trending. The system is designed to never let the macro picture paper over what price is actually doing right now.
How Confidence Scoring Works
Not all signals carry equal weight. Every setup is scored across several dimensions before reaching you:
How cleanly aligned are the six timeframes?
How strong is the current regime classification?
Does the news context support, contradict, or have no bearing on the technical setup?
Is there a direct causal link between the news and the specific instrument?
A signal only gets a High confidence label when all three layers are in agreement: the regime is clearly defined, the technical structure is clean across multiple timeframes, and the news context either supports the setup or is neutral. When they conflict, the confidence drops — and if the conflict is severe enough, no signal is generated at all. The system staying quiet is a feature, not a failure.
What the Output Looks Like
Every field is computed, not guessed. The entry zone is derived from price structure. The SL and TP are set to a verified risk/reward ratio. The regime label tells you the market context the strategy was built for — so if the regime shifts after you enter, you know to re-evaluate.
Limitations
AI is not a crystal ball. Sudden black-swan events — surprise central bank interventions, geopolitical shocks, flash crashes — can bypass any predictive model. PipFactor reduces noise and improves context; it doesn't eliminate risk. Always use proper position sizing.
One deliberate constraint: in the window immediately surrounding high-impact scheduled news events, automated execution is blocked. The signal levels are still calculated — entry, stop-loss, take-profit — so a trader who wants to take manual risk has everything they need. But the system will not automatically execute into an event window where volatility and spread behaviour make risk management unreliable. That's a design choice, not a limitation.
Signals are for informational purposes only.