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STUDY 01 / BTC · ETH · SOL

Can a trend strategy survive the cost of trading?

Two rules test an upward trend in different ways: buy sustained strength, or wait for a short dip to start recovering. Each has to earn enough to cover trading costs.

STUDY DESIGNPAPER ONLYNO PROVEN ADVANTAGE

New to this? Try the short example first. This page is a study design, not a recorded performance result.

MODELS IN THIS STUDY

Two trading rules. Two comparisons.

The same BTC, ETH and SOL observations feed four separate $1,000 paper accounts. They are alternative scenarios; their balances are never added together.

Reads
Public Kraken order books, sampled every minute; 24 continuous hours are required before entries. Entry rules run every 15 minutes.
Records
Buy, wait and exit decisions, delayed simulated fills, costs and account value.

Slow trend

Looks for
A rise that holds across the past day, six hours and one hour.
Acts when
All six strength and average-price checks below pass, along with data, budget and risk checks.
Why it might fail
A strong move can reverse after entry, or be too small to cover costs.

Trend pullback

Looks for
An established upward trend with a short dip that starts recovering.
Acts when
Daily gain is at least 2%, the six-hour average is above the 24-hour average and price remains above the 24-hour average. The past hour is down 0.25–1.5%, but the last 15 minutes recover at least 0.1%.
Why it might fail
The dip may be the start of a larger fall.

How both leave a position

They request an exit after a 4% price drop from entry, a 6% drop from the observed high, a fall below the 24-hour average, or 72 hours held. These are triggers, not guaranteed sale prices. A $100 entry budget includes fees; there can be at most three positions and a six-hour wait before re-entering an asset.

What they are compared with

Cash makes no trades and assumes no interest. Hold 30% basket buys $100 of each asset once and keeps the remaining cash. Its exposure and exit rules differ, so a raw return comparison is incomplete.

Stale data blocks entries. A 3% daily account loss or 8% fall from peak value persistently halts new entries; restarting does not clear the halt. The full rules and cost assumptions remain part of this study design.

THE HYPOTHESIS

What we’re asking.

If strength persists across several time windows, a rule-based entry may capture some of the continuing move. It must earn enough to cover entering and exiting.

WHY THIS TEST

A manageable question.

We chose three established spot markets to reduce the number of moving parts. Two active rules share the same market observations, with separate cash and holding comparisons.

FROM AN IDEA TO A RECORDED DECISION

How the study works.

  1. 01

    Observe first

    Collect 24 continuous hours of forward order-book observations. Gaps can prevent a decision; old history is not backfilled to rush the start.

  2. 02

    Require agreement

    The Slow trend rule checks daily, six-hour and one-hour strength, plus short and long averages. All entry conditions must pass.

  3. 03

    Queue, then simulate

    A qualifying signal creates a paper order. It waits for a later book and uses displayed depth plus explicit cost assumptions. A signal is not a fill.

  4. 04

    Watch for a reason to leave

    Exits monitor trend reversal, a price stop, a trailing stop and a time limit. Account loss limits can halt entries. The final exit price is not guaranteed.

SLOW TREND / ALL SIX MUST PASS

What the Slow trend model checks.

01

24-hour change

At least +2%

Ask for sustained daily strength.

02

Six-hour average

Above the 24-hour average

Check whether recent prices support the larger direction.

03

Latest price

Above the 24-hour average

Avoid entering below the long reference.

04

Six-hour change

At least +0.5%

Confirm strength beyond a single short interval.

05

Latest price

At or above the six-hour average

Keep the newest observation aligned with the shorter trend.

06

One-hour change

Zero or positive

Wait if the most recent hour is falling.

Fresh data, warmup, available capital, spread, existing positions and cooldown checks also govern whether an order can be queued. These thresholds describe this particular study, not a recommended trading recipe.

WHAT COULD CHANGE THE INTERPRETATION

The limits belong beside the idea.

WHAT WE NEED TO LEARN NEXT

Does the evidence survive closer inspection?

The next question is whether any advantage remains after costs, missed data and comparison with holding or cash. Results will include every completed position and unresolved exit.

Detailed recorded results are not publicly released yet. This page describes the experiment; it does not establish profitability.

Learn how to read a result