Discretionary traders can't codify their strategy into rigid rules — that's the point of discretion. But they can measure it. Tag what you see, and Chartnaut's ML models learn from your own trading history to surface historical odds before you risk a dollar.
Build a playbook. Train three R-level models automatically. Get historical likelihoods and context intelligence — bowling rails for your discretion.
You spot a setup. Before you take the trade, check the conditions against your own history. How often did trades with these exact tags hit 1R? 1.5R? 2R? The answer is already in your data.
Three ML models — one per R-level target you choose — are trained automatically on your playbook. Every new trade makes them smarter. Zero maintenance, zero effort.
Think of it as bowling rails for your discretion. You still make every decision — but now you have the historical frequencies to keep you in the lane.
Historical likelihoods tell you the probability. Context intelligence tells you why. It surfaces the additional conditions that appeared disproportionately in your winning trades — factors you might not have noticed yourself.
“Trades with POC inside value area had a +20.7% better hit rate.” Now you know what to look for — and what to avoid.
These conditions appeared more frequently in your winning trades with similar setups.
Log trades directly to a playbook, or assign them while backtesting. Tag each trade with the conditions present — TPO structure, volume profile context, market state. Every trade is a data point that makes the models smarter.
Log trades directly to a playbook, or assign them while backtesting
Configure your R-level targets and three ML models train continuously on your data. Every new trade triggers a re-train. Zero maintenance, zero effort — the system learns while you trade.
Configure your R-level targets and three ML models train continuously on your data
Spot a setup, select the conditions you see. Instantly get historical likelihoods for each R-level and context intelligence showing what additional factors improved past winners — all from YOUR data.
Spot a setup, select the conditions you see
Models trained only on your trades. No generic data.
Separate models for different strategies.
Probabilities surface in seconds. No waiting.
Encrypted, private, never shared.
We analyse your historical data to show what happened before — not what will happen next. All probabilities are descriptive statistics from your own past trades.
Start building your playbook today. Every trade you log makes your historical intelligence sharper.