SignalDeck is a professional-grade trading journal and strategy backtester for serious retail traders. Unlike general-purpose trading journals, SignalDeck uses R-Multiple (risk-normalized return) as the organizing principle for every metric — equity curves, expectancy, SQN scoring, Kelly Criterion position sizing, and Post Mortem reviews all flow from a single risk framework. It supports stocks, forex, and crypto natively. The built-in strategy backtester includes Walk-Forward Analysis for overfitting detection, 1,000-path Monte Carlo simulation for worst-case drawdown modeling, and grid-search parameter optimization — a combination no other trading journal offers. SignalDeck is currently in beta and free to use.
SignalDeck exposes the gap between your strategy and your execution. Professional-grade analytics for traders who are done with spreadsheets and ready to treat this like a craft.
FOMO-tagged trades cost -9.6R this month
$4,200
Money lost to hesitation and poor fills. This isn't the market's fault - it's yours.
Are you actually improving, or just riding a lucky variance streak?
HIGH
Correlation detected between "FOMO" tags and 2R+ drawdowns.
The System Quality Number - Tells you if your system is statistically tradable or just a fluke. Anything above 2.0 is a professional edge.
0.84R
For every dollar you risk, this is what your system returns - on average. This is the only number that actually matters.
$1,150
Profit left on the table from missed signals. Your strategy found the entries - you just didn't take them.
Built for traders who journal — or want to start. If you're tracking R-multiples in a spreadsheet, paying $30+/month for a journal that treats R-value as an afterthought, or you just know your edge is real but can't prove it yet — SignalDeck was built for you.
Every closed trade gets a mandatory 5-step forensic review. No shortcuts. No skipped trades. This is where amateurs become professionals — one trade at a time.
Stop managing a spreadsheet. Start running a performance lab with the same metrics professional traders use to prove their edge is real.
Automated scanning of 5,000+ stocks at 6am EST. Work with our team to implement your custom strategy and identify signals before the bell.
We snapshot RSI, MACD, and SMA values at the exact minute of your entry. Review every trade with the full technical context of the market at that second.
Seamless integration for individual position review. Jump from forensic metrics directly to a live chart to visualize your edge where you actually trade.
Don't start from zero. Our team handles the heavy lifting of uploading your messy broker history so your analytics are dangerous on day one.
Built for speed. Navigate audits, filter campaigns, and tag positions with minimal mouse clicks. Optimized for the high-frequency workflow.
More than buy/sell orders. Export full forensic datasets to CSV for LLM auditing or ongoing Machine Learning simulation and strategy tweaking.
Test any of 7 built-in strategies against up to 5 years of historical data. Walk-Forward Analysis detects overfitting before you go live. Monte Carlo simulation models your worst-case drawdown across 1,000 paths. Grid-search optimizer finds your best parameters. Then link the backtest to your journal strategy and compare theory against your actual execution — all in the same platform.
Win rate is a vanity metric. We track Risk Leakage and SQN to show you if your strategy is actually robust or if you're just getting lucky. Know your breaking point before the market finds it.
Your journal is a proprietary training set. Export clean, forensic-grade CSVs formatted for LLMs or Monte Carlo simulations. Built for the lab - not just the ledger.
The Accountability Calendar turns your month into a visual audit trail. Every trading day shows your P&L, journal entries, and post-mortem completion at a glance - so you can spot patterns in your discipline before they cost you.
Step away from standard charting alerts and bring the notifications into your journal ecosystem. Set unlimited triggers on the basics like break-even and stop levels - or behavioral caps like max trades per day and exceeding your ideal dollar risk. It’s about being tapped on the shoulder when you’re breaking your own rules before the drawdown gets expensive.
Every SignalDeck account gets a public profile at my.sgnldk.com/u/username. Share your equity curve, R-multiples, win rate, strategy decay, trade thinking notes, and post-mortem reviews with anyone - no screenshots, no cherry-picking. Verifiable proof of your edge, built from live trade data.
Sludge
my.sgnldk.com/u/sludge
Tracking since
Feb 2026
Net P&L
+$12.4k
Win Rate
58.3%
Avg R
+0.91R
Profit F.
2.14
Avg Win
+$284
Avg Loss
-$146
Max DD
-8.2%
Avg Hold
3.4d
Last 20 trades
Equity Curve
Cumulative R
Run any of 7 built-in strategies against up to 5 years of historical data. Walk-Forward Analysis catches overfitting before you go live. Monte Carlo simulation runs 1,000 paths to model your worst-case drawdown at the 5th percentile. Then link the backtest directly to your journal strategy — and see exactly where your live execution diverges from theory.
Each asset class gets native support — not a bolted-on afterthought. Dedicated execution layers for equities, forex, and crypto.
R-value analytics, SQN scoring, execution quality tracking, and structured Post Mortems. Built for swing traders and day traders who measure every edge.
Explore →Native pip-level precision, lot sizes, session detection, DXY context, swap fees, and team metrics. Built from scratch for currency traders.
Explore →24/7 market support, multi-exchange tracking, spot and leverage journaling. R-value analytics for BTC, ETH, and altcoin traders.
Explore →Running a student-managed investment fund? We provide free whitelisted access to our institutional audit layer for university clubs. Give your members a technical edge and a resume-ready background in forensic trade analysis.