Built for careful, evidence-led crypto investing
Every feature in Gulmaroks exists to answer one question before capital moves: does the evidence actually support this strategy? Explore how we test, document, and monitor AI-driven approaches.
Get StartedA disciplined toolkit, not a black box
Gulmaroks brings together historical testing, transparent reporting, and ongoing oversight so you can evaluate strategies on their track record rather than on promises.
Historical Backtesting Engine
Strategies are run against extended historical price data before they are ever presented as viable. This lets you see how an approach would have behaved across different market conditions — rallies, drawdowns, and periods of low volatility alike — instead of relying on a single favourable snapshot.
Transparent Performance Reporting
Every backtest comes with a readable breakdown of assumptions, time period, and results — no vague summaries. The goal is for you to be able to question the numbers, not just trust them, so reports are structured to show their own limitations alongside their findings.
AI-Assisted Signal Analysis
Our models process historical patterns to flag potential entry and exit conditions, but outputs are treated as inputs to a decision, not instructions to follow blindly. The emphasis is on consistency of logic over time rather than one-off predictions.
Risk Parameter Controls
Before a strategy is tested, its risk boundaries — position sizing, maximum exposure, stop conditions — are defined explicitly. This keeps the backtesting process honest: results reflect a bounded strategy, not an idealised one with no limits.
Ongoing Strategy Monitoring
Markets change, and a strategy that performed well historically can drift out of relevance. Gulmaroks tracks live conditions against the assumptions used in backtesting, so you can see when real-world behaviour starts to diverge from the tested record.
Plain-Language Documentation
Methodology notes are written to be understood, not to impress. If a concept needs a chart or a worked example to make sense, we include one, because a strategy you can't explain back is a strategy you can't properly evaluate.
Evidence first, enthusiasm second
Crypto markets attract strong opinions and faster promises than most people can verify. Gulmaroks was built around the opposite instinct: slow down, document the test, and let the historical record do the talking.
That means fewer flashy claims and more structured detail — what was tested, over what period, under what constraints — so your decisions are grounded in something you can actually inspect.
From raw data to a documented strategy
Each feature above feeds into a repeatable process, not a one-time setup.
Define the Strategy
Rules, risk limits, and target conditions are specified clearly before any testing begins.
Run the Backtest
The strategy is applied to historical data across varied market periods to see how it would have performed.
Review and Monitor
Results are documented in full, and live conditions are tracked against the tested assumptions over time.