Aetherion Labs plots each signal on actual prices and answers the only question that matters: what happened next. Build your own signals, backtest the rules, screen what's firing today.
Drawdowns test more than your strategy. They test whether you can hold when every instinct says sell. Historical signals, backtesting, and portfolio tracking show what similar setups did next, how your rules survived past sell-offs, and where you stand right now. That’s the conviction to stay in, or add, through difficulty and capture the rebound.
Track real positions alongside your signal research. Log trades, review performance, and see how your actual book compares to the setups you study.
Every signal type on any ticker, with decades of history behind it. See each past fire on the chart and the forward-return stats that tell you what happened next.
Pick a signal and a ticker. You get each historical occurrence marked on the chart, plus median and win-rate stats at 1 week through 1 year. The question isn’t whether RSI crossed. It’s what price did next, how often, and with how many samples.
Filter and break down results by volatility, sentiment, recession periods, trend, and on Pioneer, model-based regime and vol states. Study a signal only in high-VIX weeks, or compare returns across buckets. Most screeners treat every fire the same. We don’t.
Train/test splits, rolling performance, and edge-decay views on Professional and Pioneer ask the questions you’d want before risking capital: did the edge hold on unseen data? Is it fading on recent years? You see sample sizes and significance hints alongside the headline numbers.
Turn Strategy Builder rules into a full historical simulation. Run entries and exits on real price data and compare your strategy head-to-head with buy-and-hold before you trade it live.
The equity curve shows how capital would have grown trade by trade. Pair it with the trade list and summary stats to see whether the edge is smooth or lumpy over time.
Not every signal fire needs a full position. Model what happens when you invest a fixed budget only on signal days and compare that path to steady dollar-cost averaging.
Calendar effects show up in single names as much as in indices. Explore monthly, quarterly, and weekday return patterns with enough history to judge whether the current period is typical or unusual.
Scan the market for fresh signal fires instead of checking tickers one by one. Filter by sector, watchlist, or market regime, then open any hit in full Signals analysis.
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Pick a ticker and a signal. See forward returns, a backtest, or a screen — the same stack you’ll use when sizing real trades.
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