Orbital Satellite Network

Name: Orbital Satellite Network
Availability: InStock
Author: Amaltash Advisors LLC

11 assetsmoderate risk1d

Bets that satellite internet and space infrastructure become essential utilities this decade.

byAmaltash Advisors LLC

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The idea

Bets that satellite internet and space infrastructure become essential utilities this decade.

Space is becoming the next infrastructure layer — not exploration, but connectivity, intelligence, and data routed through orbital networks. Launch costs have dropped 90% in a decade, making commercial constellations economically viable for the first time. The FCC just approved direct-to-cell satellite service, opening a market of 5 billion mobile users who currently lose signal outside urban areas. Apple has already committed to satellite emergency SOS, validating consumer demand. The US Space Force and NRO are shifting procurement toward commercial satellite imagery providers instead of building their own, creating sticky government revenue streams. Meanwhile the 2022-2023 SPAC crash wiped out the speculators and reset valuations — the companies still standing are the ones with signed contracts, working hardware, and recurring revenue. This strategy bets that orbital networks become as essential as cell towers and fiber optics within this decade, and positions across the full stack: satellite operators with contracted cash flows, launch and hardware infrastructure riding falling costs, and emerging space data companies capturing the next wave of defense and commercial demand.

Design

How it works

Picks companies building satellite networks and launch systems
Holds a mix of operators, hardware makers, and data companies
Checks prices daily and rebalances when conditions shift
Uses no borrowed money—only trades what you have

Conditions

Where it works, and where it doesn't

Every strategy is built for a particular kind of market. These are the conditions this one is designed around — and the ones it is not.

Built for

When space sector stocks trend upward steadily over weeks or months
When news about satellite launches or contracts boosts investor confidence
When the broader market is calm and investors seek growth stories
When multiple companies in the portfolio announce new business wins

Not built for

When the whole market crashes suddenly and investors panic-sell everything
When space companies miss deadlines or face regulatory setbacks
When interest rates spike and investors flee risky growth stocks
When geopolitical tensions make space policy unpredictable

The Simulation Lab

Ten bad markets, before your money is in one.

Almost anything looks good in a rising market. That is not a test. So we put the strategies listed here through the same ten bad markets, and this one has been through them. They are stretches of real market history, with names and dates: the 2022 slump, the COVID crash, a year that went nowhere. We picked them before this strategy existed.

Two of them are below. Each one shows our drawing of what that market looked like, and the rules this strategy follows when a market like it turns up. None of this is a score. What actually happened to the strategy is in your dashboard, not on this page.

10bad markets, picked before this strategy existed

8 of 10can run on the real trading days of the time they name

2 of 10we model ourselves, and we mark them as modelled

26 Aug 2026when we last ran this strategy through them

When markets fall

The Christmas 2018 Scare

A sudden drop, then a full recovery within months.

our model of the S&P 500 around Sep 2018–Apr 2019falls about 20% at its worst, then ends about 6% above where it begana shape, not a scale · not this strategy

Index: S&P 500
The real dates: 20 Sep 2018 – 23 Apr 2019
What the index did: roughly flat
How we run it: Real trading days

A 20% fall into Christmas Eve 2018 on tightening fears, then a recovery to a new all-time high within four months. Anything that sold near the low and waited for confirmation missed it.

The rules this strategy follows here

1
What it holds
11 companies.
2
When it sells
One of them drops 15% to 18% below the price it was bought at.
3
What it does
It sells that one. The rest carry on.

On two days here, the market opened far below where it closed the day before.

An order set to sell at 15% to 18% down can end up selling far below that. If the market opens below that price, there is no chance to sell at it. That is what this market is here to show, and why we keep it in the set.

When markets go nowhere

The Year That Went Nowhere

2015 swung up and down all year and finished where it started.

our model of the S&P 500 around 2015swings about 9% either way, and ends about 1% above where it begana shape, not a scale · not this strategy

Index: S&P 500
The real dates: 2 Jan – 31 Dec 2015
What the index did: roughly flat
How we run it: Our model of it

A year that ended where it began, after swinging repeatedly in between — including a 12% drop in August when China devalued its currency, fully recovered by November.

The rules this strategy follows here

1
What it holds
11 companies.
2
When it sells
One of them drops 15% to 18% below the price it was bought at.
3
What it does
It sells that one. The rest carry on.

No overnight drops in this market.

A market that ends where it started still charges you for every trade made inside it. This is where the cost of trading adds up fastest. That is why it sits in the set right next to the crash.

When markets rise

The Quiet Year

2017 — the calmest year the market has recorded.

our model of the S&P 500 around 2017ends about 12% above where it begana shape, not a scale · not this strategy

Index: S&P 500
The real dates: 3 Jan – 29 Dec 2017
What the index did: rose 19.4%

When markets fall

The 2022 Slump

A full year of falling prices as interest rates shot up.

our model of the Nasdaq 100 around 2022ends about 33% below where it begana shape, not a scale · not this strategy

Index: Nasdaq 100
The real dates: 3 Jan – 30 Dec 2022
What the index did: fell 33%

The results open in your dashboard, where we can explain what they mean for you. They are simulated results, so we never show them here.

Open the stress tests

trade.amaltash.com/marketplace/orbital-satellite-network?tab=stress

All ten markets

The Bull Run of 2016–17When markets rise · modelled Tested
The 2020 Tech BoomWhen markets rise Tested
The 2022 SlumpWhen markets fall · shown above Tested
The COVID CrashWhen markets fall Tested
The Christmas 2018 ScareWhen markets fall · shown above Tested
The Year That Went NowhereWhen markets go nowhere · modelled · shown above Tested
The Wild Swings of Late 2022When markets go nowhere Tested
The Quiet YearWhen markets rise · shown above Tested
The Magnificent Seven YearWhen markets go nowhere Tested
When Tech Handed Over to OilWhen markets go nowhere Tested

These ten are the whole set. We picked them for the damage they did — the fastest crash on record, a year that went nowhere, a grind that punished every rally — not for how they make anything look.

8 of these 10 can run on the real trading days of the time they name. We model the other 2 — The Bull Run of 2016–17 and The Year That Went Nowhere. A strategy needs a stretch of history to warm up on before a test starts, and our price data does not go back far enough to give these that. So we built stand-ins that behave like those years, rather than replays of them. A modelled market is not a forecast, and it is not what would have happened. The shapes drawn above are our models of those markets — never this strategy — and they have no scale. The dates and index moves next to each one are the real figures for the period it is modelled on. Nothing on this page says how any strategy did in these tests.

Holdings

What it holds

A few of the 11 positions this strategy trades. Sign in to see the full basket and the weights behind it.

+ 7 more assets in this strategy

Risk Disclosure: Trading in financial instruments involves substantial risk, including the possible loss of your entire investment, and may not be suitable for all investors. Prices can be affected by external factors such as financial, regulatory, or political events. Trading on margin or with leverage increases potential losses. Past performance is not indicative of future results.

Not Financial Advice: The information provided on this platform is for informational purposes only and does not constitute investment, financial, or trading advice. We do not recommend any particular trading strategy or instrument. Please conduct your own research and consult with a qualified financial advisor before making investment decisions.

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