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Friday, April 17, 2026

Silver’s Next Big Move - Correction Builds Opportunity

By Century Financial in 'Investment Insights'

Silver’s Next Big Move - Correction Builds...
Silver’s Next Big Move - Correction Builds Opportunity

Brief Overview

Silver emerged as one of the most powerful performers in the global commodity complex in 2025. Prices surged sharply across domestic and global markets, supported by a rare combination of macroeconomic uncertainty, supply disruptions, strong investment flows, and industrial demand. However, silver experienced a steep and rapid correction, falling 37% from its March 2 peak of $97.30 to a low of $61 by March 23, marking one of the most aggressive short-term declines in recent years.

The selloff was driven by a confluence of factors, including volatile geopolitical headlines, a sharp rise in energy prices, and a rebound in the U.S. Dollar toward the crucial 100 level. An unexpectedly hawkish shift in FOMC expectations also added to the fall.

Market expectations for two rate cuts in September and December were completely unwound, with the market instead flipping to a 20% probability of a 25-basis-point rate hike. This repricing pushed 10-year US Treasury yields higher, reaching 4.44%.

Source: TradingView
Date: 26 March 2026

What the market may be overlooking is that silver’s structural demand story remains firmly intact. Historically, post-conflict environments have supported strong rebounds - silver, for instance, rallied over 20% in the six months following the end of the Gulf War in 1991.

Macro-driven reset in silver lays the groundwork for a more sustainable uptrend.

Investment Thesis

Structural floor

1. Industrial Demand Is Structural, Not Cyclical

The current selloff in silver is not a fundamental re-rating. Silver's demand base spans solar PV, EVs, AI data centres, and power grid infrastructure. All of them are long-duration, policy-backed demand streams. The current conflict-driven oil price increases will accelerate the transition to renewables and EVs, especially across Asia, in pursuit of energy independence. Price weakness is an entry opportunity, not a structural shift.

67 Moz supply deficit in 2026

(sixth consecutive year)

Next-gen TOPCon solar cells consume 50% more silver than legacy cells

94 Moz, 3.4% CAGR

(Automotive silver demand forecast by 2031)


Asymmetric catalyst

2. De-escalation (even partial) would unlock a sharp post-conflict recovery trade

A ceasefire or diplomatic breakthrough would simultaneously ease energy prices, restore risk appetite, and revive Gulf manufacturing capex. This is all silver-positive. The 1991 Gulf War precedent shows that silver rallied by 20%+ within 6 months of conflict resolution. Crucially, COT data shows large speculator net longs have flipped to net short. This is the kind of washed-out positioning that historically precedes explosive short-covering rallies. Current pricing implies no resolution premium whatsoever.


Physical tightening

3. China's Industrial Silver Imports Hit a Multi-Year High

China has aggressively tightened the global silver market in early 2026, importing over 790 tonnes in just January and February, including a record ~470 tonnes in February alone, pushing purchases to an eight-year high. This surge is being driven by both solar manufacturing and retail investment. It has lifted domestic prices above global benchmarks and drained already low exchange inventories, amplifying supply tightness.

790 tonnes China silver imports, Jan–Feb 2026

8-year high

Monthly import level

Export controls

Official approval required for outbound silver


Investment floor

4. Revival in the ETF Positioning

After shedding 56.6 Moz YTD, silver ETFs recorded a +7.3 Moz single-session inflow — one of the largest discrete accumulation events of 2026. Physical investment is forecast to rise 20% in 2026 to a three-year high of 227 Moz, led by a recovery in Western retail investment.

TECHNICAL ANALYSIS

Source: TradingView
Date: 26 March 2026

Silver has recently corrected sharply after its strong rally to the highs near $120, and the pullback has now brought the price into a very important Fibonacci retracement zone. Currently, silver is taking support around the 0.618 level, which falls near $65, a level widely considered the “golden ratio” and often a strong demand zone in trending markets. This level is particularly significant because it also aligns with prior consolidation and breakout areas, strengthening its role as support. Recent price action shows stabilisation around this zone, with buyers stepping in and suggesting that selling pressure is being absorbed. At the moment of writing, silver is trading around $69, slightly above this key support, indicating a potential early bounce. As long as silver holds above this 0.618 level, the broader uptrend structure remains intact, and this area could act as a base for a move higher. On the upside, key levels to watch are around $75 (0.5 retracement), then $86 (0.382), and finally $99 (0.236), which would signal stronger bullish continuation if reclaimed. However, if silver fails to hold this level and breaks decisively below $65, it could trigger a deeper correction toward the next support around $48 (0.786 retracement).

THE CURRENT DUAL PRESSURE FROM MACRO VOLATILITY REFLECTS SHORT-TERM NOISE RATHER THAN ANY DETERIORATION IN UNDERLYING FUNDAMENTALS, SUGGESTING THAT THE BROADER BULLISH THESIS REMAINS IN PLACE WITH MEANINGFUL UPSIDE POTENTIAL AHEAD.
Risks and Assumptions related to Back-tested trading strategies
The risks and assumptions listed here are not intended to be an exhaustive summary of all the risks and assumptions involved.
The strategy might suffer from look-ahead bias which occurs due to the use of information or data in a study or simulation that would not have been known or available during the period being analyzed. This can lead to inaccurate results in the study or simulation.
Future price movements may not be exactly the same as the historical price movements and this could lead to variation in performance.
Testing can sometimes lead to over-optimization. This is a condition where performance results are tuned so high to the past they are no longer as accurate in the future.
The model assumes no slippages in trading. Slippage refers to the difference between the expected price of a trade and the price at which the trade is actually executed.
The back-tested strategy might be at risk of data dredging, which is the behavior of testing multiple hypotheses at one time, resulting in picking the data that best supports your main hypothesis.
Drawdowns in actual trading can be higher than the tested system and losses could be significant in the event of leverage.
Unforeseen events can lead to variation in performance from the tested trading strategy.
The tested result has been computed with price feeds available from Bloomberg.
The testing environment has not considered transaction or any other costs.
Trading indicators used for the purpose of testing has been provided by Bloomberg.
The strategy might suffer from data mining fallacy, selection bias and backfill bias.
A trading strategy that performs well on multiple datasets from one market (e.g., forex) might not perform as well in another market (e.g., stocks).
The strategy may not depict accuracy in terms of spread changes due to the spread-widening events.

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