TickerEdge Labs analyzes your watchlist with three independent research lenses — multi-factor momentum scoring, intraday timing patterns, and long-dated options screening. Transparent factor methodology. Statistical significance flagged. No one telling you what to buy.
"Buy AAPL at $189, exit at $215, stop at $176" isn't research — it's an unregistered investment-advisory service in a Discord. Most dodge regulatory scrutiny with footer disclaimers, but the SEC and state regulators look at substance over labels.
A 4-star rating doesn't help you understand why, let alone notice when the underlying logic has changed. You're left trusting a number without the means to verify it.
The serious retail trader — the one who reads 10-Ks, sizes positions carefully, and wants to know how a number was calculated — is poorly served by a market optimized for whoever clicks "join Discord" fastest.
TickerEdge Labs exists for the third type of trader. The methodology is published. The factors are weighted transparently. The output is descriptive, not prescriptive. If you want signals telling you exactly what to buy, this is the wrong product. If you want statistically grounded research on the tickers you actually trade — with no one trying to sell you a course or a trade copier — welcome.
Different decisions need different time horizons. We've built three research modules that share one methodology — factor-based, statistically grounded, descriptive only — but answer different questions. Subscribe to one, two, or all three.
$69 / month
"Which Russell 1000 names show genuine momentum today — and which are decaying?"
A morning report that sorts every Russell 1000 stock into five tiers based on how much momentum it's actually showing right now. Tier 1 means a stock is in a strong, accelerating uptrend — beating the broader market, holding above key moving averages, with recent gains building on prior ones. Tier 5 means no momentum at all. Tiers in between catch stocks that are early in a move, developing, or starting to fade. Your watchlist is tracked across reports, so you see when a stock changes tier — and we explain what's driving each move.
$29 / month
"When during the week and day does this stock tend to move?"
Every stock has its own rhythm — days and times of day when it tends to move up, and others when it doesn't. We pull 90 days of intraday price data on every name in your watchlist (up to 100) and show you those patterns as a clear heatmap. We're upfront about which patterns hold up under testing and which ones are just noise — the weak ones are flagged, not hidden. Useful for swing traders, day traders, and options sellers thinking about when to enter.
$59 / month
"Which long-dated call setups score well today?"
LEAPS — long-dated call options — can give you stock-like upside with capped downside, but only if you pick the right underlying. Every trading morning, we screen Barchart's top 100 stocks on the six things that matter for LEAPS: trend, relative strength, momentum, entry quality, volatility, and risk. You see which stocks score well today, which specific contracts pass our liquidity and pricing filters, and which setups are getting weaker over time.
Most "best momentum stocks" lists online are really just leaderboards — a sorted view of what's already gone up the most. That's hindsight, not research. Momentum Lab does something more useful: every morning, it ranks every stock in the Russell 1000 into five tiers based on how much momentum it's actually showing today. Tier 1 is the strongest — a stock in a clear, accelerating uptrend, outperforming the broader market and holding above its key moving averages. Tier 5 is the weakest — no momentum at all. Tiers 2 through 4 step down between them, flagging stocks that are early in a move, building strength, or just starting to fade. Your watchlist names are tracked across reports so you see when a stock changes tier — and we explain what factor would need to shift for the tier to flip.
Momentum isn't one thing — it's a bundle of related signals. For each stock, we look at whether it's in an uptrend (price above its key moving averages, stacked in the right order), whether it's beating the broader market over multiple time windows, whether recent returns are positive and steady, and whether the move is happening on healthy volatility. All of that rolls into a single 0–100 score that drives the tier ranking.
A stock looking strong in isolation can be misleading — if the whole sector is rallying, half the move is sector lift, not stock-specific strength. We group tickers into themes (Cybersecurity, Cloud Software, AI Semis, Mega Cap Tech, Consumer Momentum, Fintech/Crypto, Growth Platforms) and adjust each stock's score based on how its peers are doing. A Tier 1 in a strong theme is genuine. A Tier 1 in a weak theme is even more notable.
The same stock looks very different in a bull market than in a correction. We track the broader market's posture using SPY, QQQ, and IWM — where they sit relative to their key averages, what their recent returns look like — and label the regime. That label then nudges everyone's scores up or down slightly, so you don't get a wave of false Tier 1s when the market is just having a good week.
Tier 1 — Trend Acceleration: the strongest names. A stock in a clear uptrend, beating the broader market, gains building on gains. Tier 2 — Early Momentum: stocks just starting to move, where the setup looks real but isn't yet confirmed. Tier 3 — Developing: middling, building strength but not decisive. Tier 4 — Early Setup: bottoming or basing, early signs of life. Tier 5 — Below Threshold: no momentum. For every ticker on your watchlist, we also tell you which specific factor would need to change for the tier to shift.
Most retail trading content tells you what to buy. Almost none of it answers a more useful question: when does this stock actually move? Timing Lab pulls 90 days of intraday price data on every name in your watchlist and shows you — at a glance — which days of the week and times of day each stock tends to rally, and which it tends to sag. We test every pattern to separate the real ones from random noise, and we tell you which is which.
For each stock in your watchlist, you get a clean grid: five rows for the trading days of the week, columns for each 30-minute block of the trading day. Green cells flag times when the stock has historically tended to move up; red cells flag the opposite. Cells with strong, statistically real patterns look different from cells that are just random noise — so at a glance, you can tell which observations to actually act on.
Given enough data, the human brain will find a pattern in anything. The harder test: does the pattern still show up on data the model hasn't seen yet? For each stock, we hold back 30 days from our analysis, find patterns in the rest, then check whether those patterns replicate on the held-back days. Patterns that fail are explicitly labeled as noise. Most pattern-recognition tools skip this step and show you patterns that wouldn't survive an honest out-of-sample check.
Patterns don't disappear randomly — they break when their underlying driver changes. If a stock has been reliably bullish on Mondays, but only when earnings revisions have been positive, we say so. That way, the day positive revisions stop, you have early warning that the Monday pattern may not be there anymore. We tell you what's actually holding each pattern up — not just that it exists.
Markets evolve, and patterns evolve with them. A stock's "Friday afternoon rally" might be rock solid for a year and then quietly disappear. We track stability week over week — so when a long-standing pattern is starting to decay, you see it before it's fully broken. And when a new pattern is forming, you see that too, before it becomes obvious.
LEAPS — long-dated call options — can give you stock-like upside with capped downside, and time enough for a thesis to actually play out. They're also expensive and unforgiving if you pick the wrong underlying. Every trading morning, LEAPS Screen runs Barchart's top 100 stocks through six factors that matter for LEAPS: trend, relative strength, momentum, entry quality, volatility, and risk. You see which stocks pass the screen, which specific call contracts have the right liquidity and pricing, and which setups are getting weaker over time.
Each stock gets graded on six things that matter when buying LEAPS: is it in an uptrend, is it beating SPY and QQQ, is recent momentum positive, is this a clean entry point or are you chasing a runaway, is volatility working with you or against you, and is anything actively concerning. We run two parallel models — one conservative (Balanced), one momentum-tilted (Aggressive) — and report both, so you can see which view a stock looks good in.
Finding a good underlying is only half the work — you still need a contract that's actually tradeable. For each candidate stock, we surface the specific LEAPS calls that pass our filters: long-enough-dated (10–15 months out), enough open interest that you can exit cleanly, tight enough bid-ask spread that you don't lose 5% on entry, and the right delta range for leveraged exposure. Strike, premium, open interest, volume, spread, and delta are all laid out — so you're not picking a contract blind.
Scores don't just collapse out of nowhere. A stock loses its rank because something specific changed: MACD rolled over, RSI fell below 45, price broke the 50-day. For every name on the screen, we tell you which of those changes would knock the score down most. You know what to watch for — without us pretending to know exactly when you should exit.
A LEAPS thesis plays out over months, so today's snapshot isn't enough. Every name that's appeared on the screen is tracked across all subsequent runs in your dashboard. You see whether a candidate's score is stable, drifting up, or quietly deteriorating — and which specific factors moved. That history is often more useful than the day-of score.
All three modules share one philosophy: every number we surface is reproducible from public data and published parameters.
Momentum Lab runs daily across the Russell 1000. Each ticker is scored on a multi-factor composite (trend posture, multi-window relative strength, return windows, momentum quality, entry conditions), then adjusted by theme-cohort strength (7 sector cohorts) and a market-regime overlay (SPY/QQQ/IWM trend alignment). Composite scores roll up into Tiers 1–5; score-sensitivity notes show which factors would need to move for the tier to change.
Timing Lab uses 5-minute intraday bars over the trailing 90 calendar days (60 in-sample + 30 out-of-sample). Each cell in the pattern heatmap is tested for statistical significance using a binomial test against a 50% null. We apply Benjamini-Hochberg correction so a 65-cell grid doesn't surface false positives. Out-of-sample validation requires patterns to replicate on held-back data; patterns that fail validation are explicitly labeled as noise.
LEAPS Screen runs nightly on the Barchart Top 100 universe. For each ticker, we compute the standard technical and fundamental factors (moving averages, RSI(14), MACD, ATR(14), 52-week range, multi-month returns, relative strength vs SPY/QQQ, growth metrics), then score on six dimensions with documented weights. Eligible LEAPS contracts are filtered by delta band, days-to-expiration window, open-interest floor, and bid-ask spread cap.
Send us a ticker and tell us which lens you want — Momentum Lab, Timing Lab, or LEAPS Screen. We'll send back a real research sample within 24 hours: the same format paying customers get, with no marketing copy attached.
One sample per email · No credit card · Delivered within 24 hours
No. TickerEdge Labs publishes statistical research and screening output across our three modules. We don't recommend specific trades, prices, position sizes, or exits. We're not a registered investment adviser, and we don't pretend to be. Make your own decisions and consult a licensed financial professional before trading.
No. Each module is sold individually and they work independently. Subscribe to one, any two, all three, or just the free tier. Many of our customers start with one module and add others later as their needs evolve.
We don't list a bundle on our pricing page, but if you want two or three modules, write to support@tickeredgelabs.com and we'll send you a discount code. Most customers who subscribe to more than one module find the savings meaningful — and we'd rather have that conversation with you than guess at a public bundle price that might not fit your situation.
TradingView shows you patterns on charts. Timing Lab does statistical pattern validation — telling you not just that a pattern exists but whether it's statistically significant and whether it replicates on held-back data. Most patterns chart-pattern tools surface are noise. Timing Lab tells you which ones aren't.
Barchart provides the raw data we screen against. OptionStrat focuses on position visualization and P&L modeling for trades you've already decided to make. LEAPS Screen is upstream of both — the daily research layer that helps you identify which underlyings to investigate in the first place.
Barchart for the top-100 universe list, EODHD for intraday 5-minute data and options chains, and Financial Modeling Prep for fundamentals. The methodology page documents the exact endpoints and refresh cadence.
That's between you and your broker. TickerEdge Labs has no brokerage relationships, takes no kickbacks, and never executes trades. Whether you trade through Fidelity, IBKR, Schwab, or anywhere else, it's the same product.
Momentum Lab and LEAPS Screen run daily before the US market open (typically 6:30–8:30 AM ET). Timing Lab runs weekly, delivered Sunday evening before the Monday open.
Yes. Click a button. No friction, no retention call, no countdown timer. We refund the most recent month if you cancel within 14 days.
No. Your email and watchlist get used for your reports and nothing else. We don't sell to advertisers, partners, or anyone.
Yes. Full factor weights, statistical tests, validation procedures, and update cadence are documented at the methodology page.