What Is an RSI Heatmap?

A traditional RSI indicator shows a single line oscillating between 0 and 100 for one timeframe and one period (usually RSI-14). An RSI heatmap takes this concept to another level by displaying RSI values across multiple timeframes and multiple periods simultaneously.

FerroQuant's RSI heatmap tracks 16 different RSI periods (RSI-6 through RSI-21) across 4 timeframes (15-minute, 1-hour, 4-hour, and daily) for every symbol. This creates a matrix of 64 RSI values per symbol, color-coded by zone: oversold (red, below 30), weak (orange, 30-45), neutral (gray, 45-55), strong (green, 55-70), and overbought (purple, above 70).

The power of the heatmap is in pattern recognition. When all 64 cells turn the same color, you have a high-conviction signal. When short and long timeframes disagree, you have a divergence worth investigating.

Zone Consensus: When All RSI Periods Agree

The zone consensus is the most actionable signal from the RSI heatmap. It calculates the majority zone across all 16 RSI periods for each timeframe, then across all 4 timeframes.

When the consensus is "oversold," it means more than half of all RSI readings — across all periods and timeframes — are below 30. This is a stronger signal than any single RSI-14 reading because it confirms the momentum exhaustion across multiple measurement scales.

Consensus zones and their implications:

- Oversold: momentum exhaustion on multiple scales. Mean reversion strategies (RSI Crossback, Bollinger Bands) are most effective. - Weak: bearish momentum present but not extreme. Wait for oversold or use momentum-following strategies. - Neutral: no directional bias. Range-bound strategies or stand aside. - Strong: bullish momentum building. Trend-following strategies (MACD, Momentum Breakout) work well. - Overbought: potential reversal zone. Mean reversion setups, but be cautious — overbought can persist in strong trends. - Mixed: timeframes disagree. Higher timeframe usually wins. Check for divergences.

Timeframe Divergence: The Hidden Edge

The most valuable signal from a multi-timeframe RSI heatmap is divergence between timeframes. When short-term and long-term timeframes disagree, a trading opportunity often follows.

Bullish divergence example: The 15-minute RSI is oversold while the daily RSI is neutral or strong. This suggests a short-term pullback within a larger uptrend — an ideal entry point for trend-following strategies.

Bearish divergence example: The 15-minute RSI is overbought while the daily RSI is weak or oversold. This suggests a short-term bounce within a larger downtrend — a potential short entry or exit point for longs.

FerroQuant's signal engines automatically detect these divergences. The Cascade Weighting strategy specifically adjusts its indicator weights based on timeframe agreement, giving more weight to the higher timeframe's direction when divergences occur.

The 24-Hour RSI Delta

FerroQuant tracks how the RSI-14 has changed over the past 24 hours. This delta reveals momentum acceleration or deceleration that is not visible from the current RSI value alone.

A symbol with RSI-14 at 35 (weak) but a 24h delta of +8 tells a different story than RSI-14 at 35 with a delta of -5. The first is recovering from oversold conditions — bullish momentum is building. The second is still declining — more downside may be ahead.

The delta is particularly useful for timing entries. Even if the RSI consensus is "oversold," entering when the delta is still negative means you are catching a falling knife. Waiting for the delta to turn positive (RSI starting to rise) provides confirmation that the reversal has begun.

This is why FerroQuant's RSI Crossback strategy waits for the RSI to cross back above the oversold threshold rather than entering at the first touch — the crossback is analogous to a positive delta shift.

Practical Trading with the RSI Heatmap

Here is a practical workflow for using the RSI heatmap in your trading:

1. Scan for consensus: filter symbols where all 4 timeframes agree on a zone (oversold or overbought). These are the highest-conviction candidates. 2. Check the delta: confirm the delta supports your direction. For long trades, you want the delta turning positive. For shorts, you want it turning negative. 3. Verify with volume: high-volume moves into extreme zones are more meaningful than low-volume drifts. 4. Match the strategy: use mean reversion strategies for extreme zones and momentum strategies for strong/weak zones. 5. Set stops using ATR: the RSI tells you direction probability, but ATR (Average True Range) tells you how far to set your stop-loss.

FerroQuant automates this entire workflow across 1000+ symbols, generating signals when all conditions align. The heatmap page on the dashboard lets you monitor the state of all symbols in real-time, while the signal engine does the heavy lifting of combining all these factors into actionable trade alerts.