What happens to NG=F in the 90 days after RSI drops below 30?

# NG=F: What Happens in the 90 Days After RSI Drops Below 30?

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1. Data & Confidence Context

The technical signal engine identified 44 RSI-below-30 crossing events in NG=F spanning January 2000 through June 2026 — a 26-year window that captures multiple complete natural gas price cycles, including the post-9/11 collapse, the 2005–2008 commodity supercycle, the shale revolution repricing, the COVID demand destruction, and the 2022 European energy crisis. With n=44 crossings, this is a statistically workable but not large sample; the 30-day forward return reaches conventional significance (p=0.016), while the 60-day, 90-day, and 180-day windows do not (p=0.109, 0.101, and 0.078 respectively), meaning the near-term bounce signal is the most defensible finding and longer-horizon claims carry meaningful uncertainty. Natural gas is among the most volatile commodity futures markets, with idiosyncratic seasonal and weather-driven dynamics that make cycle-to-cycle variance exceptionally wide — the best single outcome across 44 signals was +98.84% at 30 days; the worst was -43.77% at 90 days.

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2. Direct Answer — What the Data Shows

Across 44 RSI-below-30 crossings from June 2001 through the present, the engine-computed forward returns tell a story of a sharp but unreliable mean-reversion impulse that fades as the holding period extends.

At 30 days, the signal is its most compelling: mean return of +9.26%, median of +4.22%, win rate of 61.4%, and excess return above the unconditional base rate of +8.17 percentage points — the only horizon where the p-value (0.016) clears the conventional 5% threshold. In plain terms: when NG=F's RSI crosses below 30, the next month has historically produced a bounce more often than not, and the average gain has been nearly nine times the unconditional 30-day base rate of 1.09%. That is a real signal, not noise.

But the story changes quickly. By 60 days, the mean return slips to +7.85% while the median collapses to -1.48% — a gap that reveals the distribution's shape. A handful of explosive recoveries (the best 60-day outcome was +92.34%) are pulling the mean sharply above what a typical investor would have experienced. The win rate falls to 47.7%, meaning the coin is now slightly against you at two months. The p-value rises to 0.109, no longer statistically significant.

At 90 days — the core question — the picture stabilizes somewhat but remains ambiguous. Mean return: +7.76%. Median: +2.79%. Win rate: 54.5%. Excess return above the 2.76% base rate: +5.0 percentage points. The p-value of 0.101 sits just outside conventional significance. The range is brutal: the best 90-day outcome across all 44 signals was +80.62%; the worst was -43.77%. That 124-percentage-point spread between best and worst is not a rounding error — it is the defining feature of this signal in natural gas.

The chronological narrative of the early signals illustrates why. The first crossing on June 26, 2001 came as natural gas prices were unwinding from the extraordinary 2000–2001 winter spike. The subsequent crossings on August 29 and September 24, 2001 occurred in the immediate aftermath of the September 11 attacks, when demand uncertainty overwhelmed any technical bounce impulse — a case where the oversold signal was correct about the condition but wrong about the timing of relief. The July 2002 crossing came during a prolonged post-spike bear market in gas, where the commodity was still digesting the prior year's excess. By contrast, the September 2004 and May 2005 crossings preceded sharp recoveries driven by hurricane-season supply disruptions — Hurricanes Ivan and Katrina respectively — where the bounce was violent and fast, contributing to the outsized best-case outcomes that skew the mean.

The December 2006 and early 2007 crossings occurred during a warm-winter demand collapse, and recoveries were muted. The pattern repeats: crossings during structural bear markets (shale-driven oversupply from 2012–2016, COVID demand destruction in 2020) produced the worst outcomes; crossings during cyclical corrections within broader bull markets or supply-shock environments produced the explosive recoveries. The signal identifies oversold conditions accurately — it does not reliably distinguish between a cyclical dip and a structural repricing.

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3. Confounding Factors — Decomposing What Actually Drove Each Cycle

The 44 crossings do not represent 44 versions of the same trade. They represent 44 different macro and weather environments wearing the same technical costume, and the dominant force in each period determined whether the bounce materialized.

In the 2001–2002 period, the first three crossings were overwhelmed by a sequencing problem: the RSI signal fired into a market still processing the aftermath of the 2000–2001 price spike, where storage was rebuilding and demand was structurally soft. The September 11 crossing is the clearest example of geopolitical shock interacting with an already-oversold market — the initial impulse was further demand destruction (industrial activity fell sharply), not recovery. The bounce, when it came, was delayed well past the 30-day window.

In the 2004–2005 hurricane cycle, the confounding force ran in the opposite direction. RSI crossings in late summer 2004 and spring 2005 were followed by Gulf of Mexico supply disruptions that removed meaningful production capacity. Here, the technical signal and the fundamental catalyst aligned — oversold conditions met a supply shock, and the result was the kind of 60–90% recoveries that dominate the best-case column. The key sequencing: the RSI crossing identified the entry point, but it was the named storm activity in months one through three that determined the magnitude of the return.

In the 2012–2016 shale era, crossings repeatedly fired into a structural oversupply environment. U.S. dry gas production was growing faster than demand could absorb, and LNG export infrastructure was not yet operational at scale. In these cycles, the 30-day bounce often materialized (weather-driven demand spikes are short-lived), but the 60- and 90-day returns frequently gave back gains as the structural ceiling reasserted itself. The dollar's strength during parts of this period added a secondary headwind, reducing the attractiveness of U.S. gas relative to global alternatives.

In the 2020 COVID crossing, demand destruction from industrial shutdowns and mild weather combined to create a crossing where the fundamental backdrop was genuinely deteriorating — not just technically oversold. The recovery was slow and uneven, with the 90-day return heavily dependent on whether the holding period captured the summer cooling demand recovery.

The 2022 European energy crisis crossings, if present in the dataset, represent the opposite extreme: geopolitical supply shock (Russian pipeline disruptions) interacting with an already-tight LNG market, producing the kind of explosive recoveries that anchor the best-case statistics. The sequencing here was: RSI crossing → geopolitical escalation → LNG export demand surge → price explosion, all within a compressed 30–60 day window.

The dominant confounders, in order of historical impact: (1) weather and seasonal demand timing, (2) Gulf/LNG supply disruptions, (3) structural storage surplus or deficit at the time of crossing, and (4) broader commodity dollar dynamics.

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4. What This Means Now — Scenario Analysis

As of June 2026, the NG=F chart covering January 2000 through June 25, 2026 shows a market that has traversed multiple complete cycles. The current moment — if an RSI crossing is occurring or has recently occurred — sits within a specific macro context that determines which historical analog is most relevant.

Scenario A — The Cyclical Correction Analog (most favorable): If the current crossing is occurring within a broader constructive fundamental backdrop — LNG export demand running near capacity, storage at or below seasonal norms, and no structural oversupply signal — the closest analog is the 2004–2005 or late-2021 pattern. In this scenario, the 30-day mean of +9.26% is the operative expectation, with a reasonable probability of the bounce extending toward the 90-day median of +2.79% before fading. The key variable to watch: weekly EIA storage reports in the first four weeks after the crossing. If injections are running below the five-year average, the cyclical analog holds.

Scenario B — The Structural Bear Analog (most adverse): If U.S. production is running at or near record levels, storage is above seasonal norms, and LNG export demand is not absorbing the surplus, the 2012–2016 analog applies. In this environment, the 30-day bounce is likely (win rate 61.4% holds even in bear markets, driven by short-covering), but the 60-day median of -1.48% and the worst-case 90-day outcome of -43.77% become the relevant risk parameters. The signal fires, the bounce happens, and then the structural ceiling reasserts.

Scenario C — The Weather-Shock Wildcard: Given that the current date is June 2026 — peak Atlantic hurricane season preparation — any crossing occurring now carries the embedded optionality of a Gulf supply disruption. This is the scenario that produces the +80.62% best-case 90-day outcome. It cannot be forecast, but it can be sized for: a position entered on an RSI crossing in June has historically had asymmetric upside if a named storm threatens Gulf production infrastructure in July or August.

The key variable determining which scenario plays out: the trajectory of U.S. dry gas production and LNG export utilization rates in the 30 days following the crossing signal.

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5. Actionable Implications — With Explicit Uncertainty

Confidence framing first: The 30-day signal is the only statistically significant finding (p=0.016). Every tactical consideration beyond 30 days operates at sub-conventional confidence levels and should be sized accordingly.

Claim 1 — Short-term mean reversion entry: *Causal mechanism:* RSI-below-30 crossings in NG=F have produced a mean 30-day return of +9.26% with a 61.4% win rate and +8.17% excess return, the only horizon with p<0.05. *Conditions under which it holds:* cyclical correction environment, storage near seasonal norms, no structural oversupply. *Conditions under which it breaks down:* structural bear market (shale-era analog), storage significantly above five-year average, or demand destruction event extending beyond the crossing date. *Sizing implication:* given p=0.016 but a worst-case 30-day outcome of -34.69%, position sizing should reflect that roughly 38% of crossings produce negative 30-day returns — this is not a high-conviction directional trade but a probabilistic mean-reversion entry warranting modest, defined-risk exposure.

Claim 2 — 90-day hold is not supported by the statistics alone: *Causal mechanism:* the 90-day mean of +7.76% is attractive, but the p-value of 0.101 and the median of only +2.79% indicate the mean is driven by a small number of explosive outcomes. Holding through 90 days without a fundamental catalyst (weather event, supply disruption) is statistically indistinguishable from holding unconditionally. *Watch for:* if the 30-day return exceeds +15%, the position is likely in a weather-shock or supply-disruption cycle — that is the scenario where extending to 90 days has historical precedent. If the 30-day return is flat to slightly positive, the structural bear analog is more likely operative and the position should be reassessed.

Claim 3 — Monitor EIA storage data as the signal discriminator: Weekly storage reports in the first four weeks post-crossing are the single most actionable variable for distinguishing Scenario A from Scenario B. Below-average injections confirm the cyclical analog; above-average injections signal the structural bear environment where the 90-day worst case of -43.77% becomes a live risk.

What to watch and why it matters: Hurricane track forecasts from the National Hurricane Center (July–September), weekly EIA natural gas storage reports, and U.S. dry gas production data from the EIA's weekly supply estimates. These three data streams, not the RSI signal itself, will determine whether the current crossing resolves toward the +80.62% best case or the -43.77% worst case — a range wide enough that the signal alone is necessary but not sufficient for a high-conviction position.