Intraday backtesting on 5m through 4h bars. Execution quality analysis on every fill. Behavioral tagging that shows you exactly when and why you break your rules.
Start Free — Beta AccessMost trading journals have no backtester at all. SignalDeck's runs on 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour bars — with Walk-Forward Analysis to detect overfitting and 1,000-path Monte Carlo to show you the worst-case drawdown your system is capable of before you risk real intraday capital.
Day traders live and die by execution. SignalDeck measures it on every single trade.
The difference between your intended entry and your actual fill. Identifies whether your market orders are costing you edge at open.
How much you're giving back on exit. High exit slippage on winning trades means your actual R is lower than planned.
How far a trade moved against you before turning profitable. Reveals whether your stops are too tight or your entries too early.
The maximum profit available on each trade before you exited. If MFE consistently exceeds your actual exit, you're leaving R on the table.
Every day trader knows they FOMO into trades. Most can't quantify how much it costs them. Tag each trade with its psychological driver and the journal shows you exactly which behaviors are draining your R over time — and at which times of day they appear most often.
When your FOMO trades average -0.8R and your plan-following trades average +0.6R, the fix is obvious. The data forces the conversation you've been avoiding.
Trading ES or NQ futures? Native tick math and Globex session monitoring are built in.
SignalDeck now supports ES (E-mini S&P 500) and NQ (E-mini Nasdaq-100) as first-class instruments — tick-aligned P&L, CME Globex session gating so alert evaluation only runs during live market hours, and front-month contract search. The same R-value framework, execution quality analysis, and behavioral tagging you use for equities applies directly to futures scalps and intraday trades.
What is the best trading journal for day traders?
SignalDeck offers intraday backtesting (5m–4h timeframes), execution quality analysis (entry/exit slippage, MAE/MFE), behavioral tagging, and real-time SQN scoring per strategy. Free during beta.
Does SignalDeck support intraday backtesting?
Yes — 5m, 15m, 30m, 1h, and 4h timeframes. Walk-Forward Analysis and Monte Carlo simulation apply at all timeframes. No other trading journal combines intraday backtesting with Walk-Forward Analysis and Monte Carlo.
What is execution quality analysis?
Entry slippage, exit slippage, limit alpha, and MAE/MFE scatter plots measured per trade, per strategy, and per symbol. Tells you whether your fills are costing you R and where you're leaving money on the table.
How does behavioral tagging work?
Tag each trade with its psychological driver (FOMO, hesitation, revenge trading, plan-following). SignalDeck shows you the average R-multiple per tag so you can quantify exactly what each psychological pattern costs you over time.
Every feature included free during beta. Intraday backtester, execution quality analysis, behavioral tagging, SQN scoring — all of it.
Join the Beta — FreeFree during beta. Paid plans launch when it ends: Free / Pro $30 / Elite $50.
Execution quality analysis measures the difference between your intended entry/exit and your actual fill. Entry slippage tells you how much you're paying above the intended price on market orders. Exit slippage shows how much you're giving back at close. Limit alpha measures the edge you capture by using limit orders. MAE (Maximum Adverse Excursion) and MFE (Maximum Favorable Excursion) show you how far trades moved against and in your favor before closing — identifying whether you're exiting too early or holding losers too long.
Behavioral tags let you mark the psychological driver behind each trade — FOMO, hesitation, revenge trading, overconfidence, or following the plan. Over time, the journal shows you which tags correlate with negative R-multiples, which times of day produce your worst behavioral trades, and whether specific market conditions trigger predictable mistakes. This turns psychology from a vague problem into a measurable, trackable pattern.
Between trades, tell Claude or ChatGPT what happened. It logs, closes and tags trades in SignalDeck so the review at the end of the day starts complete, and it can run a pre-trade risk check before the next entry.
Connect Claude or ChatGPT to SignalDeck