StockAnalysis alternative: RadarPulse vs fundamental research tools

What StockAnalysis does

StockAnalysis is a free fundamental data platform covering U.S. and international equities, ETFs, and IPOs. Its core features include:

• Financial statements, income statements, balance sheets, and cash flow statements going back 10+ years, updated each quarter after filings
• Key metrics and ratios, P/E, P/S, EV/EBITDA, gross margin, free cash flow yield, and other valuation and profitability metrics
• Earnings data, historical earnings per share, analyst consensus estimates, and earnings surprise percentages by quarter
• Stock screener, filter equities by fundamental metrics (revenue growth, market cap, profitability, valuation multiples)
• ETF database, holdings, expense ratios, performance, and sector breakdowns for thousands of ETFs
• IPO calendar, upcoming and recent IPOs with key financial metrics

StockAnalysis is particularly well-suited for fundamental investors and longer-horizon traders who want to assess a company's financial trajectory before entering or exiting a position. The data is clean, fast, and free, which has made it one of the most widely used free research tools for retail traders.

What RadarPulse does

RadarPulse is a unusual options flow scanner and institutional signal intelligence platform. Its core data sources are:

• Live options flow, every significant sweep and block across the entire U.S. options tape, updated in real time, with routing type, aggressor side, Vol/OI ratio, DTE, and a 0–100 composite signal score
• Congressional trading disclosures, STOCK Act filings from members of Congress, cross-referenced with active options flow in the same names for confluence signals
• 13F institutional holdings, quarterly institutional position data layered onto the flow feed to identify names where flow and fundamental institutional ownership align
• Flow scoring, a proprietary 0–100 score (NOTABLE, ELEVATED, EXTREME tiers) weighing premium size, Vol/OI, execution type, and aggressor side to surface the highest-conviction institutional prints

Where StockAnalysis is retrospective, it tells you what has happened in a company's financials, RadarPulse is predictive in orientation: it shows where institutional money is positioning ahead of a move.

The core distinction: past vs present institutional intent

Financial statements and historical ratios are inherently retrospective. When you read a company's Q4 income statement, you are reading data that is 3–6 months old by the time it is filed and available. Earnings estimates are forward-looking but represent analyst consensus, not the positions of the funds that will actually move price.

Options flow is different. When an institution buys $3M in NVDA calls expiring in 30 days, they are making a real-money bet that NVDA will move in a specific direction within a specific timeframe. That bet appears on the options tape within seconds of execution. The financial statements don't predict this, the flow does, because it is the live expression of conviction by money large enough to move markets.

Fundamental research identifies which companies are worth following. Options flow identifies when those companies are in institutional favor right now. Both signals together produce a more complete picture than either in isolation.

Feature comparison

How traders use both

StockAnalysis and RadarPulse are frequently used in sequence by active traders who want both fundamental context and institutional signals:

1. Fundamental filter. Use StockAnalysis to identify companies with improving fundamentals, accelerating revenue growth, expanding margins, manageable debt, and a reasonable valuation relative to sector peers. Build a watchlist of 20–40 names that meet the bar.
2. Flow monitoring. Put those names into RadarPulse's flow feed. When an EXTREME-scored call sweep arrives in one of them, a large, swept, ask-fill with high Vol/OI, the flow confirms that institutional money is rotating into a name that fundamental analysis already identified as worth owning.
3. Earnings confluence. Before a company on the watchlist reports earnings, check the flow tape for the past 5–10 days. If large call sweeps have accumulated (without paired put activity), institutions are positioned bullishly going into the report. If put sweeps have accumulated, institutional expectation is for a miss or downside guidance. This is the forward-looking signal that earnings estimates alone cannot provide.
4. Congressional overlap. If a member of Congress with relevant committee access has disclosed a position in the same name within the past 45 days, and the flow is also bullish, that three-way confluence (fundamental quality + institutional flow + political positioning) is the highest-conviction signal in RadarPulse's framework.

When StockAnalysis is the right tool

StockAnalysis is the better choice when the question is:

• Is this company growing revenue and improving its margins over time?
• How does this company's valuation compare to its sector peers?
• What were the last four quarters of earnings, and did they beat estimates?
• What ETFs hold significant positions in this company?
• How has this company's debt load changed over the past three years?

These are retrospective fundamental questions, essential for long-term investment decisions but not optimized for short- to medium-term trade timing. StockAnalysis answers them cleanly, for free, without requiring a subscription.

When RadarPulse is the right tool

RadarPulse is the better choice when the question is:

• Is institutional money positioning in this name right now?
• What are the largest options bets on the tape today, and which are directional signals vs hedges?
• Are any members of Congress trading in names where unusual options flow is also active?
• Where is institutional flow accumulating by sector over the past week?
• What is the highest-conviction sweep in the tape in the last 4 hours?

These are current-positioning questions, relevant for options traders, swing traders, and anyone who wants to align with institutional flow rather than trade against it. RadarPulse answers them on a 15-minute delay, updated continuously through the trading session.

The case for using both

The most common failure mode in retail trading is using one category of data in isolation. Fundamental-only traders buy high-quality companies and hold them through drawdowns that institutional flow would have flagged as distribution events. Flow-only traders chase sweeps in low-quality companies where the fundamental story doesn't support a sustained move.

The combination addresses both failure modes. Fundamental quality from StockAnalysis (or similar tools) limits the universe to companies worth owning. Scored flow from RadarPulse identifies the moment institutional money is actively entering that universe. That combination, quality filter plus timing signal, is the research process that sophisticated active traders actually use.

StockAnalysis in depth: fundamental data for equity research

StockAnalysis has become one of the most comprehensive free fundamental data platforms available to retail traders and investors. Understanding exactly what it provides, and where it stops, is important for building an efficient research stack.

On the financial statement side, StockAnalysis aggregates income statements, balance sheets, and cash flow statements for thousands of U.S. and international equities, often extending back 10 or more years. Annual and quarterly views allow users to track revenue trends, gross margin expansion or compression, operating income growth, capital expenditure patterns, and changes in long-term debt over full business cycles. For a company like a semiconductor manufacturer, you can observe how revenue responded to the 2020 supply shortage, how margins behaved during the 2022 inventory correction, and how the balance sheet evolved through each phase, all in a single view.

Earnings data is a particular strength. StockAnalysis tracks historical earnings per share going back through multiple years, shows analyst consensus estimates for upcoming quarters, and calculates earnings surprise percentages for each reported period. EPS surprise history, whether a company consistently beats estimates, misses, or lands in line, is a useful input for modeling how the market is likely to react to the next report. Revenue trends alongside earnings trends reveal whether growth is being driven by the core business or by financial engineering such as share buybacks.

Valuation metrics on StockAnalysis include the full standard set: price-to-earnings (trailing and forward), price-to-sales, price-to-book, enterprise value to EBITDA, enterprise value to revenue, and free cash flow yield. These are displayed in current and historical form, so users can assess whether a stock is trading at a premium or discount to its own historical average, not just against the sector today.

Dividend data is tracked with similar rigor: yield, payout ratio, dividend history, ex-dividend dates, and the consistency of dividend growth over time. For income-focused investors, this data is sufficient for initial screening without needing a dedicated dividend research platform.

Insider transaction data on StockAnalysis is pulled from SEC Form 4 filings, the same source as institutional disclosure databases, and shows executive and director purchases and sales with date, share count, price, and transaction type. Institutional ownership data from 13F filings is also surfaced, showing which funds hold positions, how those positions have changed over recent quarters, and the aggregate institutional ownership percentage.

The IPO database tracks upcoming, recent, and historical offerings with key metrics such as offering size, initial price, first-day performance, and current return since IPO. The ETF screener covers thousands of funds with holdings breakdowns, expense ratios, asset under management, performance, and sector allocations, useful for understanding where passive flows are concentrated across the market.

What StockAnalysis does not provide is equally important to understand. It does not offer a real-time unusual options flow scanner. While basic options chain data (strike prices, expirations, volume, and open interest) may appear on individual stock pages, there is no infrastructure for detecting institutional-grade sweeps, analyzing aggressor side, applying Vol/OI ratio filters across the full tape, or producing a composite conviction score across all active options prints. Congressional STOCK Act disclosure data is not tracked. There is no AI research synthesis layer that narrates what the combination of signals means for near-term price action. These capabilities sit in a different category of tool, one designed around current institutional positioning rather than historical financial performance.

Options flow scoring: the real-time layer StockAnalysis doesn't have

RadarPulse's core differentiation is its 6-factor conviction scoring system, which converts raw options tape data into a 0–100 signal score for every significant print. Understanding how that score is constructed helps clarify why a $500,000 options trade can score a 32 while a $200,000 trade in the same name scores an 88, and why the higher-scored smaller trade is often the more meaningful institutional signal.

The score is built from six weighted components:

• Vol/OI ratio (40% weight). This is the most heavily weighted factor because it measures how unusual the volume is relative to existing open interest. A contract with 5,000 in open interest that sees 8,000 contracts print in a single session is screaming for attention, it means new money is entering the position, not simply rolling or closing an existing stake. A trade with identical premium but on a heavily liquid contract where Vol/OI barely registers produces a much lower score.
• Premium size (30% weight). Raw dollar premium is the second-largest factor. The floor for any print to enter the feed is $25,000 in total premium. From there, the score scales with the size of the commitment, a $2M sweep scores higher on this component than a $150,000 block. Premium size captures the financial conviction behind the trade.
• Execution type: sweep vs. block (10% weight). A sweep is an order that hits multiple exchanges simultaneously to fill immediately, regardless of price. It signals urgency, the buyer or seller wanted the position so badly they were willing to pay the spread across venues to get filled. A block is a negotiated off-exchange transaction that may reflect institutional hedging, portfolio rebalancing, or a pre-arranged liquidity trade rather than a directional conviction bet. Sweeps score higher on this component.
• Aggressor side: ask fill vs. bid fill (10% weight). When a trade executes at the ask, the buyer paid the higher price to get filled immediately, that is bullish aggression. When a trade executes at the bid, the seller accepted the lower price to get out immediately, that is bearish aggression. Mid-price fills are neutral. This factor captures who is the aggressor in the transaction.
• Days to expiration (5% weight). Shorter-dated options carry higher gamma risk and amplify gains (and losses) on near-term moves. When an institution buys short-dated calls with high Vol/OI and swept at the ask, they are expressing high-conviction directional belief in the immediate future. Longer-dated options could reflect hedges, LEAPS strategies, or risk management positions rather than directional bets. Shorter DTE scores higher on this component.
• Time of day (5% weight). The first 30 minutes and last 30 minutes of the trading session are the highest-information periods. Institutional desk activity at the open reflects overnight positioning decisions; late-session activity often reflects same-day directional conviction ahead of a catalyst. Mid-session prints score slightly lower on this factor.

The three tier flags divide the score range into actionable bands. EXTREME (85 and above) represents the highest-conviction institutional prints in the feed, these are the trades that combine large premium, high Vol/OI, sweep execution, ask-side aggression, short DTE, and a session-boundary time stamp. ELEVATED (65 to 84) represents clearly unusual activity that is worth monitoring, significant institutional participation but missing one or more of the top-tier criteria. NOTABLE (45 to 64) represents activity that stands out relative to baseline but does not meet the higher conviction thresholds.

A concrete example illustrates why the score matters more than raw volume. Consider two prints in a semiconductor name on the same morning. The first: $850,000 in premium, 1,200 contracts, on a strike with 45,000 contracts of open interest, block execution, mid-price fill, 60 DTE. The second: $310,000 in premium, 2,800 contracts, on a strike with 900 contracts of open interest, sweep execution, at the ask, 18 DTE. The first print looks bigger by dollar value. But the second has a Vol/OI ratio of more than 3x, swept aggressively at the ask in a short-dated contract, it scores EXTREME while the first scores NOTABLE. The raw-volume view leads to the wrong conclusion about which trade expresses stronger conviction.

The Top 25 leaderboard surfaces the 25 highest-scored active prints across the entire tape in real time, giving traders a ranked view of where institutional conviction is concentrating across sectors and names at any moment in the session. Rather than watching an undifferentiated stream of flow, the leaderboard acts as a continuous editorial layer, the highest-information signals, ranked and updated live.

Congressional disclosure data: what fundamental research misses

The STOCK Act, passed in 2012, requires members of Congress and their immediate family members to publicly disclose trades in individual securities within 45 days of execution. These disclosures are filed with the House and Senate ethics offices and are available as public records. RadarPulse ingests these filings continuously and surfaces them alongside the live options flow feed, creating a second institutional data layer that is entirely independent of the options tape.

Congressional disclosures matter for several reasons. Members of Congress sit on committees with oversight jurisdiction over industries ranging from defense contracting and pharmaceuticals to technology and financial services. They receive classified briefings. They participate in legislative negotiations before provisions become public. Whether or not any individual disclosure reflects information asymmetry in a legal or ethical sense, the pattern of committee assignments, disclosure timing, and trade type relative to subsequent legislative or regulatory events has been studied and documented extensively by academic researchers, investigative journalists, and quantitative trading firms alike.

The data creates a useful second signal that is orthogonal to both options flow and fundamental analysis. A stock can have strong fundamentals, no unusual options flow, and a congressional disclosure, or it can have weak fundamentals, heavy call flow, and a disclosure, each combination carries different implications for near-term positioning.

congressional disclosures are not insider trading data in a legal sense, and RadarPulse makes no claim that any individual disclosure reflects material non-public information. The disclosures are informational inputs, one signal among several, and are presented as such. Their value lies in the pattern and the confluence with other data sources, not in any individual trade in isolation.

StockAnalysis does not track STOCK Act disclosures or integrate congressional trading data into its research tools. This is a genuine data gap for traders who want to incorporate political positioning into their research workflow, and it represents one of the clearest areas of differentiation between a fundamental data platform and a flow intelligence platform.

Combining StockAnalysis and RadarPulse in a research workflow

The most effective use of both platforms follows a structured four-step process that separates the backward-looking fundamental filter from the forward-looking flow trigger. The key insight is that these two signals are genuinely independent, a stock passing the fundamental screen has no bearing on whether unusual flow will appear in it, and flow appearing in a name is more meaningful when the fundamental quality is already established. Convergence of independent signals is more informative than any single signal alone.

Step 1: Fundamental screening on StockAnalysis. Begin by using StockAnalysis's screener to identify companies meeting a defined set of fundamental criteria. A typical fundamental filter for active trading might include: revenue growth of 15% or more year-over-year for the past two consecutive years; gross margin that is stable or expanding; net debt-to-EBITDA below 2x; and a forward P/E that is at or below the sector median. This filter typically produces a universe of 30–60 names depending on the market environment, small enough to monitor meaningfully, large enough to capture diverse sector exposure. Earnings history on StockAnalysis adds a quality layer: companies that have beaten earnings estimates in three of the last four quarters exhibit a pattern of outperformance that is more likely to continue than mean-revert in the near term.

Step 2: Build a watchlist in RadarPulse. Add the names passing the fundamental screen to a RadarPulse watchlist. RadarPulse's flow feed covers the full options tape, so flow in any name is visible whether or not it is on a watchlist, but the watchlist creates a priority alert layer, so that ELEVATED or EXTREME prints in pre-screened names trigger immediate notification rather than requiring the user to manually scan the full feed. This is the key operational step that connects the two platforms: the fundamental screen defines the universe, and the watchlist makes that universe the highest-priority alert layer in the real-time feed.

Step 3: Wait for an EXTREME or ELEVATED flow signal in a watchlisted name. Not every name on the fundamental watchlist will see unusual flow, most will be quiet most of the time. The discipline here is patience: wait for the signal to come to you rather than acting on fundamental quality alone. When a name that passed the fundamental screen receives an EXTREME-scored call sweep, a large, short-dated, ask-side, high-Vol/OI sweep executed across multiple exchanges, the signal represents institutional money expressing near-term conviction in a name that long-term fundamental analysis already validated as worth owning. The two signals converge: the fundamental screen said "this company is high quality," and the flow said "institutional money is betting on a move now." That convergence is the entry trigger.

Step 4: Size the position using both fundamental context and flow signal strength. Position sizing in this framework uses the flow score as the primary sizing variable and the fundamental quality as a confidence multiplier. An EXTREME-scored sweep in a company with strong fundamental characteristics justifies a larger position than the same sweep in a company with deteriorating margins and rising debt, even if the options print itself looks identical. The fundamental context does not determine the timing of entry; it determines how much confidence to place in the signal once it arrives. Congressional disclosure in the same name during the same period is an additional confidence factor that can justify further sizing in names where it appears.

This four-step workflow is repeatable across market environments and sectors because the two signals remain independent regardless of macro conditions. In a rising market, the fundamental screen filters for the highest-quality beneficiaries of the cycle, and flow identifies when institutions are rotating into them most aggressively. In a choppy or declining market, the same screen produces a smaller universe of companies still demonstrating fundamental resilience, and flow in those names, particularly call sweeps, signals that institutional money is selectively accumulating despite the broader weakness. The workflow adapts without requiring changes to the methodology.

Pricing: free data platform vs. tiered flow intelligence

StockAnalysis operates on a freemium model. The core fundamental data, financial statements, key metrics, earnings history, stock screener, and ETF database, is available without registration. A paid tier (readers should verify current pricing and features at stockanalysis.com, as these change) adds features such as enhanced screener filters, portfolio tracking, and additional data depth. For the core use case of fundamental research, the free tier covers the majority of what most retail traders need.

RadarPulse is structured around tiered access to its flow intelligence and institutional signal stack. The platform is in pre-launch and all tiers are currently available via waitlist only, pricing and features are subject to change before launch, and the authoritative source is the RadarPulse waitlist page.

The planned tier structure is as follows:

• Basic ($12/month). Access to the live options flow feed with the full conviction scoring layer, the Top 25 leaderboard showing the highest-scored active prints across the tape, and the congressional trading tracker with STOCK Act disclosure data. This tier covers the core flow intelligence use case for traders who want the signal feed without additional research tooling.
• Pro ($29/month). All Basic features plus dark pool print detection, configurable alerts for EXTREME and ELEVATED prints in specific names or sectors, and access to Vera, the platform's AI research assistant (represented by the cyan V monogram in the interface), for on-demand synthesis of flow signals, congressional disclosures, and sector context into narrative research summaries. Pro is designed for active traders who want the full signal layer plus AI-assisted interpretation.
• Elite ($59/month). All Pro features plus full API access for programmatic integration with trading platforms and third-party tools, and the developer console (represented in the interface by the connection icon in the navigation menu) for self-serve API key management, webhook configuration, and outbound integration with external systems. Elite is designed for systematic traders, developers building flow-aware tools, and high-frequency active traders who need the lowest-latency data layer.
• Free tier. RadarPulse includes a paper trading wallet and access to the Academy educational content without a paid subscription. The paper wallet allows users to track simulated trades against the flow signals to build a performance record before committing capital. Academy content covers options flow fundamentals, conviction score interpretation, and research workflow methodology.

The comparison between the two platforms on cost is less direct than it might appear. StockAnalysis provides free fundamental data that RadarPulse does not aim to replicate, they serve different data categories. The correct framing is not "StockAnalysis costs less than RadarPulse" but rather "what does each platform provide that the other doesn't, and what is each worth to your specific research process?"

For a long-term buy-and-hold investor focused on fundamental quality and valuation, StockAnalysis's free tier may be entirely sufficient and RadarPulse may not add value. For an active options trader or swing trader whose edge depends on identifying institutional positioning ahead of near-term moves, RadarPulse's flow intelligence layer is the core of the research stack and StockAnalysis's fundamental data is the complementary filter, and at $12 to $29 per month, RadarPulse represents a small cost relative to a single missed or well-timed trade.

The combination of both platforms, free fundamental screening plus tiered flow intelligence, gives active traders access to the full research stack that professional desks use: backward-looking fundamental quality filters and forward-looking real-time institutional positioning signals. Neither platform alone provides both dimensions.

RadarPulse is currently in pre-launch. To access the flow intelligence platform and secure early pricing before the public launch, join the waitlist for early access.

Frequently asked questions

What is the main difference between StockAnalysis and RadarPulse?

StockAnalysis is a free fundamental research tool providing historical financial statements, stock screeners, ETF data, and earnings estimates. RadarPulse is a unusual options flow scanner that identifies large institutional options activity, sweeps, blocks, and high-premium prints scored for conviction level, plus congressional trading disclosures. StockAnalysis answers what a company has done historically; RadarPulse answers what institutional money is betting the company will do next.

Does RadarPulse have stock screeners or fundamental data?

RadarPulse is not a fundamental data platform. Its core data sources are the live options tape (unusual call and put sweeps), congressional STOCK Act disclosures, and 13F institutional holdings filings, all for identifying current institutional positioning rather than historical financial performance. For fundamental data, financial statements, and screeners, StockAnalysis remains a strong free option.

Does StockAnalysis show options flow or unusual activity?

StockAnalysis does not provide an unusual options flow scanner. Its options data is limited to basic options chain information (strike, expiration, volume, open interest) without the institutional-grade signal layer, sweep detection, aggressor side analysis, Vol/OI ratio filtering, or composite scoring, that flow-specific platforms provide.

Which tool is better for timing entries?

They serve different phases of research. StockAnalysis helps identify whether a company is fundamentally sound, revenue growth, margin trends, debt load, valuation multiples. RadarPulse helps identify when institutional money is positioning for a near-term move in that company's stock. Many traders use both: StockAnalysis for the fundamental filter, RadarPulse for the timing signal.

Is StockAnalysis or RadarPulse better for earnings research?

Both are useful but in different ways. StockAnalysis provides historical earnings data, analyst estimates, surprise percentages, and quarterly performance trends. RadarPulse shows the options flow going into earnings, whether institutions are buying calls, buying puts, or positioning for high volatility, which can signal the directional expectation ahead of the report. They answer different questions about the same event.

Can I use both StockAnalysis and RadarPulse together?

Yes, and many active traders do. Use StockAnalysis to identify companies with improving fundamentals, strong earnings trends, or sector tailwinds. Then use RadarPulse to watch for unusual options flow, call sweeps, EXTREME-scored prints, in those names as a timing signal for when institutional money is also rotating into them. Fundamental quality plus institutional flow timing is a more complete picture than either signal alone.