Crypto
Always open, always moving
24/7 markets. High volatility. Rapid regime changes.
- Momentum
- Volatility
- Liquidity
- Market structure
- Cross-asset relationships
- Funding & open interest
0x00 AI-assisted market research
Intelligence for the Next Generation of Markets
AI-assisted research and trading tools designed to help investors understand signals, risk, and market structure across crypto, ETFs, and fixed income.
Research and decision-support tools. Not investment advice. No return is guaranteed.
- 3
- asset classes read together
- 8
- documented pipeline stages
- 1
- trade published, losses included
Markets
BTCBitcoin
Conflicting
ETHEthereum
Neutral
SPYS&P 500 ETF
Trend intact
QQQNasdaq-100 ETF
Momentum firming
TLT20+ Year Treasury ETF
Range-bound
US10YUS 10-Year yield
Volatility elevated
Sample regime readouts — not live quotes
View the platform →
0x01 One AI layer. Multiple markets.
One intelligence layer across multiple markets
AI doesn't replace the markets — it helps interpret the relationships between them. We read crypto, equity exposure and rates side by side, because none of them moves alone.
ETFs
Exposure, in context
A bridge between individual securities and broader market exposure.
- Sector ETFs
- Index ETFs
- Thematic ETFs
- Commodity ETFs
- Bond ETFs
Bonds
The other side of the market
Fixed income explained as relationships, not simplistic predictions.
- Treasury yields
- Yield curves
- Duration
- Credit spreads
- Inflation expectations
- Rate expectations
- Bond ETF behavior
AI research layer
Risk engine
Portfolio context
0x02 How it works
From signal to decision
No secret algorithm. Every stage is named, documented, and open to inspection — and the final decision stays with a human.
- 0x01
Market data
Price, volume, ETF flows, bond yields and macro indicators, collected and normalised.
- 0x02
Indicators
MACD, RSI, ATR, ADX and trend strength, computed across several timeframes.
- 0x03
AI interpretation
Models read the indicators together and say, in plain language, where they agree and where they conflict.
- 0x04
Signal
A graded research signal — or no signal at all when the evidence is mixed.
- 0x05
Risk check
Volatility regime, liquidity and existing exposure are tested before anything proceeds.
- 0x06
Position sizing
Size follows risk, not conviction. Wider ranges mean smaller positions.
- 0x07
Human decision & execution
A person decides. Entries and exits are recorded with the full indicator state at the time.
- 0x08
Performance analysis
Every outcome — win or loss — is reviewed and fed back into the research.
0x03 See the system think
An honest readout, including “we don't know”
The system weighs many inputs at once. When they disagree, it says so rather than forcing a call.
Price & volume
Momentum
MACD / DIF / DEA
RSI
ATR & volatility
Trend strength
Liquidity
Cross-asset relationships
ETF flows
Bond yields
Macro indicators
News & sentiment
Portfolio exposure
| Trend | Neutral |
| Momentum | Moderate |
| Volatility | Elevated |
| 1H MACD | Positive |
| 4H MACD | Negative |
| ADX | 14.7 |
| ATR | 0.354% |
| Risk regime | High |
AI interpretationConflicting signals
An honest research platform should be comfortable saying so.
0x04 Trade journal
Every trade has a story
We publish the losing trades alongside the winning ones. This one lost.
| Metric | Result |
|---|---|
| Entry | $63,575.86 |
| Exit | $62,814.14 |
| Holding period | 10h |
| Leverage | 17× |
| Return | −1.212% |
| MFE | +0.065% |
| MAE | +1.378% |
| 1H MACD | Positive |
| 4H MACD | Negative |
| ADX | 14.7 |
| ATR | 0.354% |
SHA-256 bb040d4badd2aa36f4f24f45fcb023a59b409eee24fdfa6acbaf3660d434280c
The system entered while short-term momentum was positive, but the higher-timeframe momentum remained negative and trend strength was weak. The position ultimately closed at a loss.
The best the trade ever looked was +0.065%. With an ADX of 14.7 there was no established trend to carry it.
What the AI got wrong
The system identified short-term bullish momentum, but the broader trend did not confirm the setup.
0x05 Risk
Built for uncertainty.
Markets are probabilistic.
Our systems can be wrong.
Signals can conflict.
Regimes can change.
Historical performance does not guarantee future results.
Signal confidence≠probability of profit
A confident signal means the inputs agree with one another. It does not mean the market will.
- No guaranteed returns.
- No black-box claims.
- No countdown timers or “last chance” offers.
- Every signal can be examined.
0x06 Research · Data · AI · Risk
Evidence over promises
What the system does, what it doesn't, and how to check for yourself.
01ResearchNotes on signals, regimes and cross-asset behaviour.02MethodologyExactly what the AI does — and what it does not.03PerformanceFull results, losses included, with the method behind them.04Risk DisclosureThe ways this can go wrong, stated plainly.05Data SourcesWhat goes into the system and what each input is used for.06Model DocumentationIndicators, model components and known limitations.07Trade JournalEach trade with its indicator state and review.08System ArchitectureHow data, signals, risk and execution connect.09AboutWhat we are building and the rules we hold ourselves to.10ContactQuestions about the research or the platform.
The system combines technical indicators, market data, statistical models, and machine-learning components to generate research signals. Signals are not predictions of guaranteed future prices and should not be interpreted as investment advice. From the methodology
0x07 FAQ
Frequently asked questions
1What does the platform do?
It reads crypto, ETFs and fixed income through one AI-assisted research layer and reports what it sees: trend, momentum, volatility and risk regime for each instrument, plus a graded signal when the evidence supports one. The decision to act stays with you.
2Is this investment advice?
No. These are research and decision-support tools. The platform does not know your finances, objectives or tolerance for loss, and nothing on this site is a recommendation to buy or sell anything.
3Does the AI predict prices?
No. It describes current conditions and how different inputs relate to one another. When the inputs disagree it says “conflicting signals” instead of forcing a call.
4Do you publish losing trades?
Yes. Every trade in the journal is shown with its figures, the indicator state at entry and a review, whether it won or lost. Each record carries a SHA-256 fingerprint so later changes can be detected.
5What does a signal tier mean?
A tier grades how strongly the inputs agreed when the signal was produced. It is not a probability of profit: a top-tier signal can lose, and the journal includes one that did.
6Which markets are covered?
Crypto, ETFs and bonds. They are read side by side, so a move in one market is always described in the context of the others.
Start with the evidence
Read how the system works, look at the full trade record, and decide for yourself.
Not investment advice. No return is guaranteed.