Bitcoin · On-chain · Macro · Quant Systems

Every chart tells you what happened. These tell you where you are.

Independent Bitcoin research and systematic tools built to connect on-chain data, liquidity, macro, positioning, valuation and trend-following systems.

Current productFree + ProResearch in English
On-chain
Macro + liquidity
Valuation
Quant systems
CryptoQuantVerified Author
ForeDexRecognized Analyst
Trevisan MBAGuest lecturer
IndependentResearch + systems

The research problem

More inputs. Still no shared language.

A market view is usually assembled across dashboards, analysts and timeframes. The difficult part is deciding what deserves weight, what changed and what no longer fits the current regime.

01 · Fragmentation

Research across too many tabs.

On-chain in one place. Liquidity and macro somewhere else. Positioning, valuation and derivatives on different clocks.

02 · Interpretation

Indicators that do not talk.

Each chart can be useful on its own while the combined market read stays inconsistent.

03 · Process

Rules that change with price.

Without a repeatable process, the latest move starts rewriting the framework.

RR Terminal

Systems, models and processed market data in one research environment.

The Terminal receives market inputs, processes them and publishes regimes, states and system outputs. Each layer answers a different part of the same market problem.

Valuation

Where is price relative to the cycle?

Multiple valuation models and cycle context.

levels · percentiles · context
Regime

What conditions define the market now?

Macro, liquidity and market-state readings.

state · transition · risk
Positioning

How is the market positioned?

Cost basis, derivatives and participant behavior.

positioning · flows · structure
Systems

What are the rules doing?

Systematic allocation, relative strength and trend-following outputs.

allocation · trend · discipline

Evidence, not theatre

Real product. System outputs. Risk context left in the record.

The research is built around observable states and systems that can be checked over time. Performance evidence is separated from live product state and shown with its risk context.

Product screenshots and system outputs.
Backtests identified as backtests, with drawdown visible.
Methodology explained without exposing proprietary engineering.
See the Terminal →

Leonardo Ruga · @RugaResearch

I build the systems and publish what they are reading.

I'm a Brazilian on-chain and quantitative analyst. I build the tools behind RR Terminal and use them to research Bitcoin across market cycles, liquidity, positioning and systematic allocation.

I explain what is being measured, what weakens the reading and where the systems have performed poorly. The final decision stays with the user.

CryptoQuant VerifiedForeDex Recognized AnalystTrevisan MBA Guest Lecturer

Start with the product

Read the current market state before adding another opinion.

Open the free layer. Move to Pro only when you need the full Terminal.

Open the Terminal →