Why Shipping Cycles Are So Extreme
Shipping cycles are more extreme than most other industries because of two structural features: the long lead time between ordering and delivery (2–3 years for a new vessel), and the near-impossibility of storing the service (you can't stockpile freight capacity). This means supply cannot respond quickly to demand changes — and when demand surges, rates spike dramatically. When demand falls, the oversupply problem lingers for years as ordered vessels continue arriving.
The Post-War Supercycle (1945–1973)
The reconstruction of Europe and Japan after World War II drove an extraordinary expansion in global trade. Shipping rates were strong for most of this period, with brief corrections in 1958 and 1967. The Suez Canal crisis in 1956 created a temporary spike in tanker rates as vessels had to take the longer route around Africa.
This long expansion led to massive overordering of vessels — setting up the dramatic crash that followed the 1973 oil shock.
The Great Trough (1973–1987)
The 1973 oil embargo and subsequent energy crisis collapsed demand for tankers just as an enormous wave of newbuilding capacity arrived. The tanker market entered a 14-year depression — one of the longest in modern shipping history. Vessel values collapsed by 70–90% and many owners went bankrupt.
This prolonged trough created the conditions for the next boom: a generation of underinvestment that left the fleet aged and supply growth minimal heading into the 1990s expansion.
The 1990s Recovery and the Container Revolution
The 1990s saw a broad shipping recovery driven by globalisation, the collapse of Soviet trade barriers, and the explosion of Asian manufacturing. Containerisation transformed cargo shipping — goods that once took days to load and unload were now moved in standardised boxes in hours.
The container revolution created a new cycle on top of the traditional bulk and tanker cycles — with its own dynamics and its own boom-bust pattern that would eventually produce the extraordinary 2020–2022 cycle.
The 2003–2008 Superboom
China's accession to the WTO in 2001 and subsequent industrialisation created an unprecedented demand shock for dry bulk shipping. The Baltic Dry Index, which had averaged around 1,000 for years, surged to 11,793 in May 2008 — an all-time record. Capesize day rates exceeded $300,000 — the capital cost of a new vessel covered in a single month of operation.
This boom triggered massive ordering. Between 2006 and 2008, the dry bulk order book reached 60–70% of the existing fleet — an unprecedented level that guaranteed a catastrophic oversupply within 3–5 years.
The Long Trough (2008–2016)
The financial crisis and the arrival of the vessels ordered during the boom created the longest dry bulk trough of the modern era. The BDI fell from 11,793 in 2008 to 290 in February 2016 — its lowest level in recorded history. Many shipowners went bankrupt. Vessels were scrapped at record rates. Banks stopped lending to shipping.
For investors, February 2016 was the maximum-pessimism moment — and therefore the maximum opportunity. Golden Ocean traded at $3.20. Those who bought that trough participated in the subsequent 730% recovery to $26.60 by 2021.
COVID and the Container Boom (2020–2022)
The pandemic created an extraordinary one-off disruption: a simultaneous collapse in supply chain capacity (port closures, crew shortages, congestion) and a surge in goods demand as consumers shifted spending from services to products. Container rates went from below $2,000 per 40-foot box to over $20,000. MPCC went from NOK 2.05 to NOK 31.45.
By 2023, as supply chains normalised and new vessel deliveries arrived, container rates crashed back to pre-COVID levels — another reminder that cycle tops are as extreme as cycle bottoms.
The Lesson From 80 Years of Data
The consistent lesson from shipping cycle history is that troughs always end, and booms always end. The investor who can buy at the trough — when everything looks broken and every analyst has a sell rating — and sell near the peak — when everything looks wonderful and everyone is bullish — will generate extraordinary returns cycle after cycle.
This is precisely what Signycle's signal model is designed to help you do.
Get cycle signals before they peak.
Signycle monitors all of these indicators automatically and alerts you when the data says it's time to act.