Find a reason to wait.
Separate potential opportunities from low-conviction conditions using momentum, trend, relative volume, and market structure.
An AI-assisted research lab that combines familiar technical tools with experimental machine learning. Built to find stronger setups, flag weaker ones, and help you understand when not to trade.
Technical indicators show you what the market is doing. An intelligent research layer helps examine whether the surrounding conditions deserve your attention.
Separate potential opportunities from low-conviction conditions using momentum, trend, relative volume, and market structure.
A transparent, short-horizon research classifier examines multiple features together. Always accompanied by validation caveats.
Optional GPT-powered commentary translates technical conditions into readable analysis. Context, not automated trade instructions.
Work through hypothetical account-risk, stop-distance, and leverage scenarios before considering a position.
Selected chart timeframe · completed Kraken candles · fresh Kijun crosses, trend, VWAP and 1.08× volume. Select a market to explore.
Automatic research checks: fresh Kijun cross + EMA trend + VWAP + volume ≥ 1.08×. Both directions, all four timeframes. A 4/4 match shows a notification here. Runs every 90 seconds while this page is visible; email alerts keep their own settings.
Choose a fresh Kijun-Sen cross and optional confirmations. Research alerts keep running when this page is closed. No orders are placed.
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✳ The lab includes real public OHLC data when available. Offline preview switches to clearly labeled synthetic demo data. Indicators and the ML classifier run locally in your browser. AI explanations require a configured API key.
We start with an understandable system of indicators, then evaluate it against multiple layers of market evidence. No black-box promises. No shortcuts around risk.
Look for trend and structure with EMA, Kijun-Sen, rolling VWAP, momentum, and relative volume.
MARKET FEATURES →Compare the setup to a small historical dataset with an experimental machine-learning classifier.
RESEARCH MODEL →Use optional AI commentary to translate conflicting signals into plain-language market context.
HUMAN REVIEW →Run risk scenarios. A promising chart never eliminates the possibility of losing capital.
RISK FIRST ✓Explore how account risk, stop distance, and leverage interact. This calculator illustrates sizing mechanics, not a recommendation for your account.
Atomic Trades began as a trading education concept focused on understanding small cryptocurrency market movements, technical tools, leverage, and discipline.
Founded by Michael Hensel, a crypto market participant since 2017, the new direction asks a more important question: how can machine learning and explainable AI help traders examine the quality of their decisions?
EXPLORE THE RESEARCH LAB ↗No. This research beta does not connect to exchange accounts, access funds, or place trades. It is a market research and education tool.
Yes. The interactive lab trains a small logistic-regression classifier in your browser using recent historical OHLCV-derived features, then evaluates it on a later holdout segment. This short dataset and simple validation are not sufficient to demonstrate predictive skill or profitable execution.
When configured by the site owner, GPT explains market structure and conflicting indicator readings. The separate statistical model calculates the numerical research score. Language-model commentary is not a verified prediction.
Public Kraken OHLC endpoints. The latest unfinished candle is excluded. If the endpoint is inaccessible, the lab uses unmistakably marked synthetic demonstration data instead.
No verified live performance or profitable trading edge is claimed. Any trading system should undergo extensive out-of-sample testing, cost-aware simulation, forward paper trading, and independent review before real-money use.
Follow the development of the AtomicTrades AI research experience, including model testing, new indicators and feature releases.