The Modern Market Has Changed. Have Your Strategies?
I stopped trying to predict markets and started building systems that respond to them. What five technology cycles taught me about the difference.
Updated October 22, 2026. I removed wording on this page that described grid trading as “income,” a “yield,” or a steady source of profit. Grid results depend on where price goes and what you still hold, and they can be losses. Nothing here is a statement about how any strategy has performed or will perform.
Earlier versions of this page reported simulated returns; we’ve withdrawn them while we rebuild our simulator with stricter assumptions. Nothing here is a record of live trading or a statement about how the system has performed or will perform. Grid trading involves substantial risk of loss.
Every market cycle teaches you something. 2022 is the one this system was designed around.
I know that sounds backwards. 2022 was not a good year by any conventional measure. Bitcoin fell 65%. By most measures, the median crypto asset lost most of its value. FTX — at the time one of the most credible names in the space — collapsed in days. If you were building a crypto product in 2022, you were doing it during the worst possible moment to make the case for crypto.
But that is exactly when a protection mechanism either works or it doesn’t. It is the test we built ours for.
The Idea That Changed How I Think About Markets
I’ve been through five technology cycles. The one thing they all have in common is that nobody called the top. Not the smart people. Not the experienced people. Not the people with the best data. Everyone has a thesis about what will happen next. Very few theses survive contact with the market.
Somewhere in the process of building CoinRoc, I stopped trying to solve the prediction problem and started asking a different question: what if we don’t need to predict? What if we just need rules that respond to what the market is already doing?
That is the design philosophy behind our RXI™ regime engine. It does not forecast. It reads. Specifically, it reads whether a market is ranging or trending — and it treats those as fundamentally different environments that require different responses.
Grid trading is a liquidity strategy, not a prediction strategy. That distinction matters more than it sounds.
Here is what I mean. A grid places buy and sell orders at regular intervals above and below a price midpoint. When the price oscillates — moving up and down through those levels — the grid completes round-trips and captures the spread on each completed round trip. It does not need the price to go up. It does not need to know what happens next. It just needs the market to keep moving within a range.
But markets do not always range. Sometimes they trend — hard and sustained in one direction. In a trending market, a grid strategy is not a neutral bystander. It is actively disadvantaged. It keeps buying into falling prices. Losses accumulate faster than the grid mechanism can offset them.
Every serious grid trading operator knows this. The question is what you do about it.
Our answer: build a system that detects when you are in a trending regime and steps aside. Stop opening new grid buys. Wait. Resume when conditions return to ranging.
What a “Regime” Actually Is
I use the word “regime” because it is precise, but let me translate it into something more intuitive.
A ranging market is one where price moves up and down without strong directional conviction. Think of a coin oscillating between $90,000 and $100,000 over several weeks. A grid books a spread each time a buy and its matching sell both fill. More oscillations mean more chances to complete round trips, and a strong trend can still leave you holding losses.
A trending market is one where price is moving persistently and directionally — either up or down. The market has conviction. It is not oscillating around a midpoint; it is going somewhere. In a strong uptrend, the grid captures some gains but systematically undersells. In a downtrend, which is the dangerous scenario, the grid keeps buying into declines without the corresponding sell-side to close the trade.
The RXI™ engine detects this by measuring what mathematicians call the Hurst exponent — a statistical property of a price series that quantifies whether it is trending versus mean-reverting. Think of it as the market’s “persistence score.” A value above 0.55 on this scale indicates persistent trending behavior. RXI™ also reads directional momentum and whether volatility is accelerating. When those three signals combine to indicate a trending regime, the engagement score drops toward zero. The grid does not deploy. No new capital is deployed into the grid.
That is the system making an operational decision based on observable conditions — not a bet on what comes next.
2022: The Test
Earlier versions of this page reported simulated returns; we’ve withdrawn them while we rebuild our simulator with stricter assumptions.
What remains is the design logic. In a trending-down market, a grid that keeps running keeps buying into falling prices. The system’s answer is for RXI™ to detect the trending regime, reduce engagement toward zero, and stop adding new buys. Whether that works as intended is exactly what the rebuilt simulator has to show, and we are not claiming a result until it does.
The arithmetic of losses is the reason this matters. A large loss takes a much larger gain to recover, so avoiding one matters more than it looks, because every later year of compounding starts from the base you kept.
The Honest Part
I want to be direct about what this system does not do, because I think the honest answer is actually the stronger answer.
This approach will miss parabolic runs. That is not a flaw — it is a feature. In 2021, Ethereum returned over 400% on a buy-and-hold basis. The grid strategy, by design, captures a fraction of that. It sells inventory on the way up. It doesn’t ride the move. An investor holding ETH through 2021 earned dramatically more than a grid strategy running on ETH through 2021.
I know that. We are not competing with buy-and-hold in bull markets. We are providing a different kind of product: a system that acts on price oscillation and is designed to step aside when conditions turn hostile (existing inventory is not sold). Neither is guaranteed.
Anyone holding crypto through 2022 had to watch their portfolio fall by well over half and stay the course. Behavioral research suggests many investors sell near the lows. The investor who held without flinching through the FTX collapse earned their return. The investor who capitulated locked in a catastrophic loss.
The design aims to take that discipline out of the investor’s hands: the regime pause is rule-based rather than a judgment call made while watching an account fall. Whether it would have protected capital in past periods is what the rebuilt simulator has to show.
The Period That Matters
I started this work anchored in data going back to 2013. There are good methodological reasons to study the full history. But in client conversations, in research presentations, in honest self-assessment — the 2020–2025 period is the one I find most relevant to how the system would operate today.
2013–2019 includes Bitcoin’s run from roughly $13 to nearly $20,000. There is no replicating that environment. It is not the market you are operating in. Any strategy that looks great because of it is borrowing credibility from a period that is gone.
2020–2025 is the complete modern cycle. Bull run, crash, recovery. Rated assets with real price history. The market conditions the system was designed for.
The thesis behind CoinRoc is simple: markets spend stretches oscillating and stretches trending. A grid acts on that oscillation. When markets stop oscillating and start trending, you step aside. When they return to ranging, you resume. You don’t need to be right about Bitcoin’s five-year trajectory. You need to have rules that respond to what the market is actually doing.
That is the whole idea. We just provide the liquidity in a rational manner — not caring about forecasting or predictions. Responding, not predicting.
2022 is the test I have been building the system toward. We will publish new results only after the rebuilt simulator has been validated, and we will say plainly how the method changed.
Earlier simulated figures have been withdrawn. Simulated results are hypothetical, and past simulated performance does not guarantee future results. Grid trading involves substantial risk of loss, including loss of principal. RXI™, GSI™, and CSI™ are trademarks of Yodacom LLC, trademark registration pending.
This post is for educational purposes only and is not investment advice. Digital assets, including cryptocurrencies, are highly volatile and speculative and may lose all their value.
This document is for informational and educational purposes only. It does not constitute investment advice, a recommendation, or an offer or solicitation to buy or sell any security, digital asset, or financial instrument. The information herein reflects the views of the authors as of the date of publication and is subject to change without notice. Readers should consult their own financial, legal, and tax advisors before making any investment decision.
Digital assets, including cryptocurrencies, are highly volatile and speculative. They may experience rapid and substantial price declines, including a total loss of value. Regulatory treatment of digital assets is evolving and uncertain, and future regulatory actions may materially affect the value, legality, and accessibility of digital assets. Digital asset markets operate 24/7 and are subject to operational, custodial, and cybersecurity risks not present in traditional financial markets.