Understand every signal, score, and indicator on the platform. Updated August 25, 2026, this page explains the current multi-market engine, Neon-backed source of truth, pricing cadence, currency conversion, regional risk model, IV 1.1 production guardrails, the Volatility Constellation, Earnings Radar, and how to read each Invyra feature without jargon.
Market Mood is Invyra's proprietary composite sentiment index that measures the overall health and mood of the stock market on a 0-100 scale. Updated daily, it combines five key components to tell you whether the market is panicking, cautious, neutral, greedy, or euphoric.
Think of it as a dashboard for market psychology. When sentiment swings to extremes, opportunity often emerges for contrarian traders and value investors.
Measures SPY (S&P 500 ETF) performance versus its 200-day moving average. When price is +20% above the 200DMA, momentum scores 100. At the 200DMA, it's 50. At -20% below, it's 0. Momentum tells you if the market is in an uptrend or downtrend.
The 14-day Relative Strength Index measures how fast prices are moving up versus down. RSI ranges from 0 (oversold) to 100 (overbought), and we map it directly into Market Mood. High RSI signals overbought conditions; low RSI signals oversold conditions.
Based on the VIX (market volatility index), but inverted. Low volatility (calm markets) scores high; high volatility (fear) scores low. A VIX of 10 = calm (score 90). A VIX of 20 = neutral (score 50). A VIX of 50 = panic (score 0).
What percentage of S&P 100 stocks are trading above their 200-day moving average? When 80% of stocks are above their 200DMA, breadth is strong and scores high. When 30% are, breadth is weak and scores low. Breadth confirms the market's overall health.
Invyra calculates the median price-to-intrinsic-value ratio across the S&P 100. When stocks are trading below intrinsic value (undervalued), valuation scores high. When stocks are overpriced, valuation scores low. This reflects the bargain level available in the market right now.
Your Market Mood score falls into one of five emotional states:
Panic (0-19): Extreme fear is gripping the market. Circuit breakers may be tripping. Contrarian investors start shopping. Most investors are selling at the worst time.
Fear (20-39): Risk appetite has dropped significantly. VIX is elevated, stocks are down, sentiment is negative. This is where deep value investors historically find their best opportunities.
Neutral (40-59): The market is balanced. No extreme emotion is driving prices. This is the time to be selective: focus on strong fundamentals, avoid chasing momentum.
Greed (60-79): Optimism is running high. Stocks are expensive. FOMO is setting in. Risk/reward is unfavorable. Consider taking profits and trimming positions.
Euphoria (80-100): Everyone is bullish. Valuations are stretched. This is when the highest percentage of retail investors are buying. Be very cautious and consider lightening exposure.
While Market Mood is our comprehensive 5-component index, we also calculate a classic Fear & Greed index for comparison. This simple 0-100 scale gives you a quick pulse on whether fear or greed is dominant.
The Analogy: When Market Mood is trending down, it's like a patient's vital signs weakening. When it spikes, it's like a fever breaking. Fear & Greed is the temperature gauge: fast-moving and easy to read.
Fear & Greed combines three simplified elements:
Is SPY trading above or below its 200-day moving average? And how far? This is our fastest-changing indicator.
VIX readings directly influence Fear & Greed. High volatility = fear. Low volatility = confidence (or complacency).
The ratio of bearish put options to bullish call options in the market. High ratio = fear. Low ratio = greed.
How many S&P 100 stocks are outperforming their moving averages? Broad participation = confidence.
The S&P 500 Trend signal tells you whether the broad market is in an uptrend, downtrend, or consolidating. This is one of the most straightforward signals Invyra provides.
We analyze the SPY (ETF that tracks the S&P 500) using three timeframes:
Is price above or below the 20-day moving average? This tells you if momentum is positive or negative in the very short term. Great for tactical entry/exit timing.
The 50-day MA is the sweet spot for intermediate traders. When price is above 50DMA, intermediate buyers are in control. When below, intermediate sellers are.
The 200-day moving average is the gold standard. Price above 200DMA = bull market. Price below 200DMA = bear market. This is the big-picture trend.
The strongest trends occur when all three moving averages are aligned:
Macro Pulse is Invyra's proprietary economic health signal. It combines real-time and forward-looking economic indicators to tell you whether the economy is expanding, contracting, or at an inflection point.
Weekly jobless claims, non-farm payrolls, and unemployment rate. Rising claims = economic stress. Low claims = strong labor market.
Real GDP growth rate and advance estimates. This is the ultimate scorecard: is the economy expanding or shrinking?
CPI, PCE, and yield curve slopes. High inflation and inverted curves signal stress. Stable inflation and positive curves signal health.
ISM Manufacturing PMI and production data. PMI > 50 = expansion. PMI < 50 = contraction. The economy's canary in the coal mine.
Retail sales, consumer sentiment, and credit card data. Strong spending = strong economy. Weak spending = warning sign.
Credit spreads, high-yield bond spreads, and TED spread. Widening spreads = credit stress. Tightening spreads = confidence.
Macro Pulse returns a composite score from 0-100, with zones:
While Market Mood and Macro Pulse tell you about the market and economy, Pulse™ tells you about individual stocks. It's a proprietary strength score that measures whether a stock is genuinely strong (high quality, good momentum, reasonable valuation) or merely riding a market wave.
Pulse combines three dimensions:
ROE, profit margins, revenue growth, and balance sheet strength. High-quality companies have sustainable advantages.
Price momentum, RSI, MACD, Williams %R, and trend alignment. Is the stock moving up on genuine strength or just hype?
P/E, price-to-book, PEG ratio, and price vs. intrinsic value. Is the stock priced fairly for its quality and growth?
Volatility, drawdown history, correlation with market. Is this a stable hold or a wild ride?
High-quality companies with strong fundamentals, good momentum, and reasonable valuations. These are the candidates for long-term positions.
Decent businesses but either overvalued, losing momentum, or facing headwinds. Use these for tactical trades, not long holds.
Struggling businesses, high valuations relative to quality, or negative momentum. Consider avoiding or shorting.
Red flags across the board. These stocks are either overvalued traps or broken companies. Stay away unless you're a turnaround specialist.
The SMI (Stochastic Momentum Index) is a technical indicator that measures the momentum of price movements relative to a stock's recent trading range. Unlike RSI, which measures overbought/oversold conditions, SMI measures the actual momentum of price movement: how fast and hard prices are rising or falling.
SMI calculates where the current price closes within the high-low range of the last 13 periods, then smooths this with moving averages. The result is a -100 to +100 oscillator:
The stock is moving up with force. Buyers are in control. This is a bullish signal, especially if the stock is also breaking above resistance or moving above its moving averages.
Indecision. The stock is neither building nor losing momentum. This is typically a consolidation or transition phase. Wait for a breakout.
The stock is falling with force. Sellers are in control. This is a bearish signal. Exit long positions or consider shorting if the fundamentals also look weak.
The most powerful SMI signal occurs when price and SMI diverge:
Bullish Divergence: Stock makes a lower low, but SMI makes a higher low. This often precedes a reversal upward (the stock is losing downside momentum).
Bearish Divergence: Stock makes a higher high, but SMI makes a lower high. This often precedes a reversal downward (the stock is losing upside momentum).
Return on Invested Capital (ROIC) vs Weighted Average Cost of Capital (WACC) is the single most important metric for determining whether a company is creating or destroying shareholder value. This is the core of value investing and the foundation of Invyra's fundamental analysis.
Simple version: If a company earns 20% on the capital it deploys (ROIC = 20%) but can only borrow and raise capital at an average cost of 8% (WACC = 8%), then the company is creating value. It's earning more on its capital than it costs to deploy that capital.
ROIC = NOPAT / Invested Capital
It answers: "For every dollar of capital (debt + equity) this company deploys, how much profit does it generate?"
Invyra uses the Damodaran/McKinsey institutional standard for ROIC, the same formula used by CFA analysts and institutional fund managers:
NOPAT = Operating Income x (1 - Effective Tax Rate)
This is Net Operating Profit After Tax. We use Operating Income (EBIT) rather than Net Income because ROIC measures operating efficiency independent of how the company is financed. The effective tax rate is calculated from actual income tax paid divided by pre-tax income, falling back to 21% (US corporate rate) if unavailable.
Invested Capital = Total Debt + Total Stockholders' Equity - Cash & Equivalents
This represents the total capital deployed in the business by both debt holders and equity holders, minus cash sitting idle (not deployed in operations). For companies with negative stockholders' equity (common in buyback-heavy companies like MCD, SBUX), we fall back to Total Assets - Total Current Liabilities.
Why some companies show very high ROIC: Companies with aggressive share buyback programs (like Mastercard or Visa) will show ROIC above 50% or even 100%. This is not a calculation error. Buybacks reduce stockholders' equity on the balance sheet, shrinking invested capital. The result is that the company generates massive operating returns relative to the capital actually deployed in its business. This is a genuine signal of exceptional capital efficiency in asset-light business models.
Excellent. The company has a strong competitive moat. It can invest capital and earn superior returns.
Good. Solid returns above the cost of capital, but not exceptional. Typical of mature, stable businesses.
Mediocre. The company is earning returns only slightly above its cost of capital. Limited value creation.
Value destruction. The company is earning less than it costs to deploy capital. This is unsustainable and a major red flag.
WACC = (E/V × Cost of Equity) + (D/V × Cost of Debt × (1 - Tax Rate))
It's the average rate the company pays to finance itself (weighted by the proportion of debt and equity).
The Mortgage Analogy: If you buy a house for $500k with a $300k mortgage at 5% and $200k equity, your WACC is roughly 4% (70% × 5% + 30% × expected equity return). If the house generates $30k/year in rental income, your ROIC is 6%. You're earning 6% on capital that costs 4%, so you're creating value.
The real signal is the spread between ROIC and WACC:
ROIC vs WACC also determines justified valuation multiples. Companies with wide spreads (ROIC >> WACC) can command premium P/E ratios because they'll compound value for decades. Companies where ROIC ≈ WACC trade near intrinsic value (lower multiples).
Intrinsic value is the present value of all future cash flows a company will generate, discounted back to today. It's the "true" economic value of a business, separate from what the market price happens to be.
When price < intrinsic value, a stock is undervalued (potential opportunity). When price > intrinsic value, a stock is overvalued (caution).
Rather than relying on a single valuation model, Invyra blends nine independent methods. Each captures a different dimension of value, and the ensemble reduces the risk of any single model's assumptions distorting the result. The final Invyra IV is the trimmed mean of all methods that pass outlier filtering, after currency conversion and market-risk guardrails are applied.
A multi-stage discounted cash flow model projecting free cash flow over 5-10 years, then applying a market-specific terminal growth rate that must remain below the discount rate. Uses WACC as the discount rate, with market and currency risk floors to avoid unrealistic low-rate valuations.
Same cash flow projection but exits via an EBITDA multiple rather than perpetuity growth. Uses sector-appropriate multiples to avoid unrealistic terminal values in cyclical industries.
Benjamin Graham's classic formula: sqrt(22.5 x EPS x Book Value). A conservative floor estimate of fair value rooted in earnings and tangible assets.
PEG-based valuation: EPS x expected earnings growth rate. Ideal for growth companies where earnings trajectory matters more than current book value.
Current normalised earnings divided by the cost of capital. Assumes zero growth, giving a conservative baseline of what the business is worth today without any future expansion.
Book value plus the present value of future excess earnings (earnings above the required return on equity). Captures value creation above and beyond the cost of capital.
For dividend-paying stocks: the present value of all future dividend payments discounted at the cost of equity. Essential for REITs, utilities, and mature income stocks.
Applies the sector median P/E ratio to the company's earnings. A relative valuation anchor that reflects how the market typically prices similar businesses.
The median 12-month price target from sell-side analysts. Provides a market-expectations anchor that complements the fundamentals-driven models above.
With nine models, some will inevitably produce extreme values (a DCF terminal value of $1,200 for a $120 stock, for example). Invyra applies three successive filters to remove outliers before computing the trimmed mean:
Mature sectors (Energy, Utilities, Consumer Defensive) use a tighter ceiling of 4x current price; growth sectors allow up to 6x. Any method returning a value below 5% of the current price is also excluded. This prevents absurd values from ever entering the calculation.
After Layer 1, the median of remaining values is computed. Any result exceeding 2x the median (or 2.5x for growth sectors) is removed. This catches models that pass the price-proximity test but are still far from the consensus of the other methods.
A final interquartile range filter with a 1.2x multiplier (tighter than the standard 1.5x) removes any remaining statistical outliers. This is particularly effective when only 5-7 methods survive the first two layers.
The surviving values are averaged using a trimmed mean (excluding the single highest and lowest) to produce the final Invyra IV. This triple-filtering approach was specifically designed to handle sectors like Energy where terminal value models can wildly overstate fair value. The final value is stored in the canonical research database and reused across stock pages, Value Map, portfolio tools, and the mobile app.
The live platform currently uses the canonical IV 1.1 model with additional currency, risk-rate, and distress guardrails. IV 1.2 remains a staged shadow model only; it is not promoted to production until its audit proves better than IV 1.1 across covered markets.
For companies with negative net income, negative ROE or ROIC, ROIC below WACC, high leverage, sparse cash-flow history, or unusual accounting, Invyra applies a more conservative publication lens. The model still values the business, but it avoids letting one optimistic DCF or an unrealistically low beta dominate the final IV. Low-confidence valuations are labelled as such instead of being treated like mature-company estimates.
Intrinsic value is not a point estimate, it's a range. Invyra calculates a base case (50th percentile), optimistic case (75th percentile), and conservative case (25th percentile) for every stock.
The Margin of Safety: A stock trading at 40% of its conservative intrinsic value has a huge margin of safety. A stock trading at 95% of its optimistic case has almost no margin of safety. Smart investors buy with margin of safety (typically 25-50% discount to conservative case).
Deep value. The stock is trading at a significant discount. Great entry point if fundamentals are sound.
Fair value or slightly cheap. Good for value investors. Reasonable entry for quality businesses.
Slight premium. Acceptable for high-quality businesses with strong growth prospects. No margin of safety.
Expensive. The stock is betting heavily on optimistic assumptions. High risk. Wait for a pullback or avoid.
In the short term, stock prices are driven by sentiment and momentum. But over 3-5 years, prices tend to converge toward intrinsic value. This is the core principle of value investing: find stocks trading below intrinsic value and hold as the market reprices them higher.
Invyra does not rely on browser cache or one-off page calculations for its core research outputs. Invyra IV, Invyra IQ, Prism where applicable, moat, support and resistance levels, and market map inputs are calculated server-side and stored in Invyra's Neon-backed research tables. The website and iOS app read from those canonical records.
Each covered security has a stored research snapshot containing IV, IQ, moat, levels, currency assumptions, price source, calculation timestamp, and model version. If the same stock appears in research, Value Map, screener, portfolio, or the mobile app, it should be reading the same stored values. Non-index stocks are computed server-side on demand and then stored before reuse.
For the US Value Map, Invyra builds completed intraday snapshots using recent one-minute market bars. A new snapshot is published only after validation passes, so the public map is not partially updated with missing or inconsistent prices.
India, Singapore, Japan, and the UK use the latest completed end-of-day close for Value Map and screener valuation gaps. This avoids unnecessary intraday API calls while keeping each regional market consistent after its local close.
The Value Map is Invyra's market-wide discovery view. It plots each covered stock using the same stored IV and IQ values used on the stock detail page. The x-axis shows the margin of safety versus Invyra IV. The y-axis shows Invyra IQ. The upper-right area highlights stocks that combine quality with room between price and modelled value.
Farther right means the current price is further below Invyra IV. Farther left means the stock is trading at a premium to IV.
Higher on the chart means stronger stored IQ across clarity, efficiency, momentum, durability, resilience, and opportunity.
US maps can also show Prism context. Non-US maps do not use Prism; they use a regional income-quality lens that considers dividend yield, balance-sheet durability, and quality alongside valuation.
Value Map is not a buy list. It is a research map that helps you decide where to study first. A stock still needs deeper review of fundamentals, risk, business quality, and your own objectives before any investment decision.
Fundamental analysis tells you what to buy. Technical analysis tells you when to buy. Invyra combines both, so you never have to choose between value and timing.
Technical indicators analyse historical price data to identify trends, momentum shifts, and potential reversals. They do not predict the future, but they reveal patterns in how the market is pricing a stock right now.
The trend indicator shows where the current price sits relative to its 50-day and 200-day simple moving averages (SMAs). A simple moving average is the average closing price over a set number of trading days.
All three are stacked in order. The stock is above its short-term average, which is itself above the long-term average. This is the most bullish alignment.
The reverse. Price is below both averages and the short-term average has dropped below the long-term. Persistent selling pressure.
Weather vs Climate: The trend is like checking today's weather. Is the stock trading above or below its recent average? It gives you a real-time snapshot of price direction.
While the trend shows where price is now, the MA Cross Signal watches for structural shifts in the moving averages themselves. When the 50-day moving average crosses above the 200-day moving average, it is called a Golden Cross. When it crosses below, it is a Death Cross.
The 50 DMA crosses above the 200 DMA. This means short-term momentum has overtaken the long-term trend. Historically, this is one of the most reliable bullish signals. It often marks the beginning of a sustained uptrend.
The 50 DMA crosses below the 200 DMA. Short-term weakness has dragged below the long-term average. This often precedes extended declines. It does not guarantee a crash, but it signals caution.
Weather vs Season: If the trend is today's weather, the MA Cross Signal is like checking whether the season is changing. A few cold days (downtrend) do not mean winter is here. But when the 50 DMA crosses below the 200 DMA, winter has arrived.
RSI measures how fast and how far a stock has moved over the last 14 trading days, on a scale of 0 to 100. It helps identify when a stock may have moved too far, too fast in either direction.
The stock has risen sharply and may be due for a pullback. This does not mean "sell immediately," but it signals that buyers may be exhausted. Consider waiting before entering a new position.
Healthy upward momentum without being stretched. This is often the sweet spot for trend-following entries.
No strong momentum in either direction. The stock is consolidating. Wait for a directional signal before acting.
The stock is losing steam. Selling pressure is increasing. Not a time to buy unless other signals (like deep undervaluation) are very strong.
The stock has fallen sharply and may be due for a bounce. If fundamentals are solid (strong moat, undervalued on IV), this can be an excellent buying opportunity.
MACD is a momentum indicator that shows whether bullish or bearish momentum is accelerating or decelerating. It uses three components calculated from exponential moving averages (EMAs), which give more weight to recent prices.
When the fast EMA pulls away from the slow EMA, momentum is increasing. When they converge, momentum is fading.
A smoothed version of the MACD line. Crossovers between the MACD line and the signal line generate buy and sell signals.
The histogram visualises the gap between the MACD and signal lines. Green (positive) bars mean bullish momentum is dominant. Red (negative) bars mean bearish momentum is dominant. Shrinking bars in either direction suggest momentum is fading and a reversal may be near.
MACD line crosses above the signal line. Momentum is shifting from bearish to bullish. This is a buy signal, especially when confirmed by trend and RSI.
MACD line crosses below the signal line. Momentum is shifting from bullish to bearish. A sell signal or a warning to hold off on buying.
Williams %R is a momentum oscillator that measures where the current closing price sits relative to the highest high over a lookback period. It ranges from 0 to -100, where values near 0 indicate the price is near recent highs (overbought territory) and values near -100 indicate the price is near recent lows (oversold territory).
Invyra calculates two timeframes to give you both short-term and medium-term momentum reads:
Captures quick momentum shifts over the past 14 trading days. Ideal for swing traders looking for short-term entry and exit signals. Reacts faster to price changes but can produce more false signals in choppy markets.
Smooths out noise by looking at roughly 2.5 months of price data. Filters out short-term whipsaws and provides higher-conviction signals. When %R(52) confirms a %R(14) signal, the probability of a sustained move increases significantly.
The stock is trading near the top of its recent range. This signals strong upward momentum but also warns of a potential pullback. Consider taking profits or tightening stop-losses.
Healthy upward momentum without being stretched. The stock is rising but hasn't reached extreme levels. This is often the sweet spot for trend-following entries.
No strong directional momentum. The stock is consolidating or transitioning between trends. Wait for a breakout into bullish or bearish territory before acting.
Downward momentum is building. The stock is weakening and moving toward the lower end of its recent range. Exercise caution with long positions.
The stock is trading near the bottom of its recent range. This can signal a potential reversal upward, especially if the company has strong fundamentals. A contrarian buying opportunity when combined with high Pulse and undervaluation on IV.
Invyra shows you two gauge bars (one for each period), each with its own needle and category badge. Read them top to bottom:
This tells you the short-term momentum. If the needle is on the left (green), the stock is near recent lows. If on the right (red), it is near recent highs. The badge next to the value tells you the zone: Overbought, Bullish, Neutral, Bearish, or Oversold.
This tells you the medium-term trend over ~2.5 months. It filters out daily noise. When %R(52) confirms what %R(14) is saying, the signal is high conviction. When they disagree, be cautious.
Williams %R is a contrarian indicator. Unlike most indicators where low values mean weakness, here oversold (below -80) is actually a bullish signal. It means the stock has fallen so far that a bounce becomes increasingly likely, especially if the company has strong fundamentals. Similarly, overbought (above -20) is a bearish warning that the stock may have risen too far, too fast.
At the bottom of the Williams %R panel, Invyra combines both periods into a single actionable signal. Here is what each one means and what you should consider doing:
The stock is deeply oversold on both timeframes. This is the strongest contrarian buy signal. The stock is near the bottom of its range on both short and medium term. If Pulse is high and IV shows undervaluation, this is a high-conviction entry point. Consider building a position.
Both short-term and medium-term momentum are in your favour. The stock is rising on both timeframes without being overbought. This is a healthy uptrend. Consider adding to your position or holding with confidence.
The medium-term says the stock has been beaten down hard and is near a potential bottom. But the short-term momentum has not yet turned. The stock is building a base but the reversal has not been confirmed. Add this to your watchlist and wait for %R(14) to climb into the bullish zone (-20 to -40) before entering. That is your confirmation signal.
The short-term has dipped sharply but the medium-term has not reached oversold. This could be a quick pullback in an otherwise normal trend. It might bounce, but without medium-term confirmation, do not go heavy. Wait for %R(52) to agree before treating it as a major opportunity.
Neither period is giving a strong directional signal. The stock is consolidating or in transition. No action needed. Keep watching and wait for the signals to align before making a move.
The short-term is bouncing, but the medium-term is still in a downtrend. This could be a dead cat bounce rather than a real reversal. Be cautious. If you are already in the position, it might be a chance to reduce rather than add. Wait for %R(52) to turn before trusting the bounce.
The short-term has run up fast and is near recent highs, but the medium-term has not caught up. A short-term pullback is likely. Avoid chasing. If you are already in, consider tightening your stop-loss or taking partial profits.
Both short-term and medium-term momentum are negative. The stock is in a downtrend on multiple timeframes. Consider reducing your position or staying on the sidelines. Not the time to buy, even if the stock looks cheap on other metrics.
The stock is overbought on both timeframes. It has risen to the top of its range on both short and medium term. A meaningful pullback is highly likely. If you are in, take profits. If you are watching, do not buy here. Wait for the stock to cool off and re-enter at lower levels.
No single indicator should drive a decision. The power comes from combining them with each other and with Invyra's fundamental signals.
Invyra Prism is a proprietary composite scoring algorithm that fuses trend, timing, and fundamental context into a single market-posture signal. Instead of analysing a dozen metrics individually and trying to weigh them yourself, Prism summarises whether the setup is constructive, neutral, or cautionary. It is not a personal buy, sell, or hold recommendation.
The design is inspired by institutional confluence trading, where professional traders require multiple independent signals from different categories to agree before entering a trade. Research shows that combining three or more diverse tools can lift trade success rates to about 70%, compared to roughly 40% with single-indicator strategies.
Every indicator on Invyra falls into one of three pillars. Each pillar is scored independently from -100 (extremely bearish) to +100 (extremely bullish), then combined with weights:
The largest pillar because trend is the single most reliable predictor of short-term returns. Includes: Trend Position (price vs 50 and 200 DMA), MA Cross Signal (Golden Cross or Death Cross), MACD histogram and crossovers, and distance from the 200-day moving average. These tell you whether the stock is in an uptrend, downtrend, or going sideways.
These are leading indicators that catch reversals and optimal entry points. Includes: RSI (overbought/oversold), Williams %R(14) and %R(52) dual-period, and Smart Money Index (institutional flow). These tell you whether the stock is stretched too far in either direction and due for a reversal.
This is the quality filter that separates good trades from traps. Includes: Intrinsic Value vs Price (margin of safety), Moat Score (competitive advantages), ROIC vs WACC (value creation), and earnings/revenue growth. A stock can look technically perfect but be a fundamentally terrible business. This pillar catches that.
Prism enforces cross-pillar agreement. A stock cannot receive a "Strong Buy" signal purely on technical strength. It needs at least two pillars agreeing, and cannot reach extreme conviction levels without fundamental support. This prevents two common mistakes:
A fundamentally great stock in a death cross with bearish MACD. Without the trend pillar confirming, Prism will not signal "Strong Buy" even if IV and moat look excellent. You would be catching a falling knife.
A stock in a strong uptrend with bullish MACD but trading at 3x intrinsic value with weak moat. Without the fundamental pillar confirming, Prism caps the signal. You would be buying at the top.
Trend, timing, and fundamentals are all aligned bullish with at least 2 pillars confirming. Consider building a full position with a stop below the recent swing low. This is the highest probability trade Prism can identify.
Most signals agree but not all. Consider a partial position or dollar-cost average in over several entries. The odds favour the long side but conviction is not at maximum.
Signals are mixed or conflicting. Maintain existing positions but avoid adding new exposure. Wait for the pillars to align before committing fresh capital.
Momentum fading, potentially overvalued, or weakening fundamentals. Reduce position size or tighten stops. The odds favour the downside.
Trend, timing, and fundamentals all point down. Exit long positions. This is the highest probability bearish signal Prism produces.
The Invyra Screener surfaces every stock across covered markets with distinct dimensions: how cheap or expensive it is relative to intrinsic value (Value Signal), the stored Invyra IQ, moat context, and, for US stocks only, Prism setup posture. Non-US markets do not use Prism; their supporting lens emphasises income quality, balance-sheet durability, and local market context.
The Value Signal compares the current market price to Invyra's calculated intrinsic value. It answers a long-term question: is this stock priced below what it is actually worth?
The stock is trading at a discount to its calculated intrinsic value. The larger the discount, the greater the margin of safety. This is a value investing signal: the market may be underpricing this business.
The stock is trading close to its calculated intrinsic value (within roughly 10% in either direction). The market is pricing it approximately correctly. No margin of safety for value investors.
The stock is trading at a premium to intrinsic value. The market is pricing in optimistic assumptions. Higher risk of mean-reversion unless growth exceeds expectations.
The US Prism setup is the Prism composite score, pre-computed for US stocks in the screener. It answers a shorter-term research question: given the current trend, momentum, timing, and fundamentals, is the setup constructive, neutral, or cautionary?
All three pillars align bullish. High conviction entry point with trend, timing, and fundamentals confirming.
Most signals lean bullish. Build a position gradually or add to existing holdings.
Mixed or conflicting signals. Maintain existing positions but avoid new exposure.
Bearish signals dominating. Trim exposure (Reduce) or exit entirely (Strong Sell below -55).
The Moat indicator on each screener card shows the strength of a company's competitive advantages, scored from 0 to 100 using AI-powered analysis of pricing power, switching costs, network effects, intangible assets, and cost advantages.
The company has durable competitive advantages that are difficult to replicate. Think brand dominance, network effects, or regulatory barriers. These businesses tend to maintain high returns on capital for decades.
Some competitive advantages exist but may erode over time. The business earns above-average returns today but faces meaningful competitive threats. Monitor for moat narrowing.
Limited competitive advantages. The business operates in a commoditised market or faces intense competition. Returns on capital are likely to trend toward the cost of capital over time.
Most investors stop at earnings per share. Invyra goes deeper with three proprietary scores that reveal the quality, sustainability, and management skill behind those numbers. Each score combines multiple data points into a single, actionable signal.
Earnings Radar is the event-research layer for upcoming S&P 500 reports. It separates two questions that are often confused: whether a company has tended to beat the published EPS consensus, and whether current event options look expensive or inexpensive compared with the stock's own reported-event moves.
The estimate uses up to eight prior EPS outcomes for the company. A Bayesian adjustment pulls small samples toward the expanding S&P 500 base rate, which prevents four wins from being displayed as a certain result. Invyra publishes the estimate after four prior reports and shows a 90% uncertainty range and sample size beside it.
Invyra selects the first usable option expiration that captures the report. It adds the midpoint prices of the nearest at-the-money call and put, then divides that straddle cost by the underlying share price. The result is the approximate absolute move priced by event options. It is a market price, not a forecast of direction.
When announcement timing is not dependable, Invyra measures the absolute move from the last closing price before the report date to the first closing price after it. The median of at least four recent events becomes the historical comparison. This two-close window can include ordinary market movement around the report, so it is descriptive rather than a pure earnings-only return.
When the current implied move is at least 20% above the stock's median reported-event move, the page says the event premium looks rich. When it is at least 20% below, it says the event premium looks light. Values between those thresholds are shown as priced near history. These plain-language labels describe a comparison with the stock's own recent reports. They are withheld when fewer than four historical moves exist or when the option quote fails the liquidity gate.
Consensus EPS snapshots are stored daily to measure revision direction and analyst dispersion. Invyra does not claim to reproduce proprietary whisper numbers or another vendor's most-accurate-estimate feed. Until enough snapshot history exists, revision information is shown as building rather than substituted with an invented signal.
This score tracks the direction and magnitude of analyst estimate revisions, earnings surprises, and consensus shifts. Stocks with rising estimates and consistent earnings beats tend to outperform, a phenomenon known as the post-earnings-announcement drift (PEAD).
Analyses the last 12 quarters of earnings surprises: beat rate, average surprise magnitude, consecutive beats, and recency (exponential decay weighting so recent quarters matter more). A company beating estimates 8 of the last 12 quarters with accelerating magnitude scores very differently from one with sporadic beats.
Measures forward EPS and revenue estimate trajectories using CAGR between near-term and out-year estimates. Also factors consensus tightness: when the spread between high and low analyst estimates is narrow relative to the average, conviction is higher.
Converts the distribution of Strong Buy, Buy, Hold, Sell, and Strong Sell ratings into a weighted score. A stock with 15 Strong Buys and 2 Holds scores very differently from one with 8 Buys and 7 Sells.
High reported earnings are meaningless if they are not backed by real cash flow. The Earnings Quality Score detects the gap between accounting profits and economic reality using three lenses. Each lens uses sector-aware mental modelling: a SaaS company, a bank, and a manufacturer have structurally different cash conversion profiles, receivable dynamics, and accrual patterns. Invyra adjusts thresholds and signal weights by business type so each company is judged by the standards of its own industry.
Calculated as (Net Income - Operating Cash Flow) / Total Assets. A high accruals ratio means earnings are heavily driven by accounting adjustments rather than cash. Mapped to a 0-100 score where lower accruals equals higher quality. Academic research consistently shows low-accrual stocks outperform over time.
Operating Cash Flow divided by Net Income. A healthy business should convert at least 80-100% of its accounting earnings into real cash. Companies where CFO exceeds Net Income (ratio above 1.0) have the highest quality earnings. Special handling for negative-NI-but-positive-CFO companies (scored 80 - the business generates cash despite accounting losses).
Analyses revenue collection health through multiple signals: absolute receivable levels relative to revenue, days sales outstanding (DSO) trends over time, and the traditional receivables-versus-revenue growth comparison. The signals are blended with sector-dependent weights because, for example, the receivables growth gap matters far more in manufacturing (where channel stuffing is a real risk) than in enterprise software (where small-base effects can create misleading growth differentials).
Even a great business can destroy value through poor capital allocation. This score evaluates how effectively management deploys cash across four dimensions.
Tracks the trajectory of shares outstanding over 5 years. Consistent buyback programs that reduce share count signal management confidence and shareholder alignment. An annualized reduction of 3% or more scores as excellent, while dilution above 2% per year is penalized.
Evaluates payout ratio (sustainability), free cash flow coverage (can the company afford it?), and dividend growth rate (is it increasing?). Growth-sector companies without dividends are scored neutrally at 60 rather than penalized, since reinvestment may be a better use of capital.
Measures revenue CAGR per dollar of reinvestment (R&D plus capital expenditure). A company spending heavily on R&D and capex should show corresponding revenue growth. High reinvestment with flat revenue is a warning sign of inefficient capital deployment.
Analyses Debt-to-EBITDA level and its trajectory over time. A company reducing its leverage ratio scores higher than one increasing it. Conservative debt levels (below 2x EBITDA) with a declining trend earn the highest scores.
Invyra IQ is a proprietary investment intelligence score that answers the most important question an investor faces: is this business worth owning for the long term at today's price? It synthesises six dimensions of investment quality into a single score from 1.0 to 10.0, grounded in the principle that wonderful businesses at fair prices deserve patient ownership.
Each dimension captures a distinct facet of investment quality, scored independently from 1.0 to 10.0:
How visible and reliable is this company's earnings stream? Analyses earnings surprise consistency, analyst estimate agreement, and revenue predictability. High Clarity means analysts can forecast this company accurately, reducing the risk of negative surprises.
How well does management convert capital into returns? Evaluates ROIC relative to the cost of capital, operating margin trajectory, and asset turnover. Companies that consistently earn above their cost of capital are creating shareholder value with every dollar deployed.
Is the business accelerating or decelerating? Tracks revenue growth trends, earnings revision direction, and forward estimate trajectory. Momentum confirms whether the quality story is improving or fading, but carries deliberately lower weight because IQ is a long-term score, not a momentum chaser.
How defensible is this business over time? Incorporates moat analysis, margin stability, and market position strength. A key feature: Durability is capped based on the company's moat classification. A business with no competitive moat cannot score higher than 6.0 on Durability regardless of current financials, because the advantage is not sustainable.
Can this company survive a recession without diluting shareholders? Evaluates leverage ratios, liquidity position, interest coverage, and debt maturity structure. High Resilience means the company can weather economic storms and emerge stronger while competitors struggle.
Is the current price attractive relative to intrinsic value? Combines intrinsic value discount or premium from the 9-method IV engine, forward earnings multiples, and growth-adjusted valuation metrics. Opportunity carries the highest weight because even the best business is a poor investment at the wrong price.
BQI distils four of the six dimensions into a single measure of fundamental business quality, independent of price. It answers: "How strong is this business regardless of what the market charges?" BQI emphasises capital efficiency and competitive durability as the strongest predictors of long-term compounding, and is a key input to the composite score.
The final IQ score blends business quality, momentum, and valuation opportunity using a quality-dominant model. Quality accounts for the majority of the score, valuation acts as a critical gate, and momentum provides directional confirmation. The algorithm includes two proprietary interaction effects:
High-quality compounders deserve valuation leniency because their reinvestment rate means today's premium may become tomorrow's fair value. When a company's business quality is exceptional and its valuation appears stretched, the algorithm applies a bounded leniency adjustment. This embodies the principle: it is far better to buy a wonderful company at a fair price than a fair company at a wonderful price.
Circuit breakers that cap the composite score in extreme scenarios. A low-quality business at a deep discount is still a value trap. A company with collapsing momentum and extreme overvaluation signals immediate danger. These gates prevent the algorithm from producing dangerously optimistic scores in edge cases.
IQ uses sector-aware mental modelling throughout its scoring pipeline. A technology company, a bank, and an industrial manufacturer have structurally different financial profiles. The algorithm adjusts thresholds, signal weights, and interpretation logic by business type to ensure every company is evaluated against the right benchmarks for its industry.
IQ and Prism serve complementary purposes. IQ is a long-term quality and valuation compass designed for portfolio construction decisions measured in years. Prism is a US-only setup posture that combines trend, timing, and fundamental context for shorter-term research. A stock can have a strong IQ profile but a neutral Prism setup, or a constructive setup while still requiring valuation caution. The informed investor reads both as research inputs, not instructions.
Invyra IQ, IV and Prism each judge a single company. Portfolio IQ steps back and asks the question that actually decides outcomes: is the portfolio as a whole built from high-quality assets, bought at reasonable valuations, diversified intelligently, resilient to drawdowns, and aligned with current conditions? It compresses an institutional portfolio review into one explainable score from 0 to 100, carried alongside a confidence reading so you always know how complete the picture is.
The design is deterministic first: the score comes from rules, market data and established portfolio mathematics, not from a black box. AI is used only to explain the result in plain language, never to invent the number.
Six independent modules each measure a distinct facet of portfolio health, then blend into the composite. Quality, valuation, diversification and risk carry the heaviest weight; timing and data confidence are lighter by design.
The weighted Invyra IQ of your stock holdings, with an added penalty when too much capital sits in weaker, speculative names. Funds and bonds are treated as a separate sleeve and never dilute this reading.
How your holdings sit versus Invyra IV fair value, weighted toward position size. The reward is quality-adjusted, so a cheap but weak business does not score the same as a cheap, high-quality one, which guards against value traps.
Goes beyond counting holdings. Uses the effective number of holdings (a Herfindahl-style measure), single-name and top-five concentration, and sector exposure, so a portfolio that looks diversified but leans on one stock or one sector is flagged honestly.
Built from one year of actual returns: portfolio volatility, beta to the market, maximum drawdown, tail loss (CVaR), downside capture, and how much each holding contributes to total risk. Liquidity is factored in for thinly traded names.
The weighted Invyra Prism signal across your holdings, giving near-term timing and caution context. It carries deliberately light weight, because Portfolio IQ is a measure of portfolio health, not a short-term trading call.
Every score carries a confidence reading based on how much price, quality, valuation, timing and risk data is available. A provisional score is labelled as such, so you never mistake a thin-data estimate for a firm conclusion.
The risk module is where Portfolio IQ earns its keep. Rather than rely on rules of thumb, it measures behaviour from real return history and reports the figures professionals actually use:
Annualised volatility and maximum drawdown describe the ride; CVaR (conditional value at risk, also called expected shortfall) estimates the average loss on the worst days, which is far more informative about tail risk than a simple cutoff.
Using a covariance matrix stabilised with Ledoit-Wolf shrinkage, Portfolio IQ decomposes total risk by holding. A position can be a small share of value yet a large share of risk; this surfaces that hidden concentration clearly.
Beta-based market scenarios estimate the portfolio's move if the market fell or rose sharply, in percent and money, alongside the deepest one-day, one-week and one-month drops your current mix actually lived through over the past year.
The 0 to 100 score maps to five plain-language bands so the headline is readable at a glance:
85-100 Institutional Grade · high-quality, resilient, well diversified and attractively positioned.
70-84 Strong · generally healthy, with a few areas to review.
55-69 Balanced but Needs Review · acceptable, with visible weaknesses.
40-54 Fragile · meaningful concentration, valuation, quality or risk concerns.
0-39 High Risk · weak structure or severe data and risk issues.
Portfolio IQ combines Invyra's proprietary company intelligence with established portfolio theory: Markowitz mean-variance diversification, Sharpe's risk-adjusted return concepts, the Fama-French factor view of risk, Ledoit-Wolf covariance shrinkage for robust estimation, and the Rockafellar-Uryasev work on CVaR and expected shortfall. The result feels like an institutional portfolio review, compressed into a clean dashboard.
Portfolio IQ is an informational portfolio health diagnostic. It is not personalised financial advice and does not recommend buying or selling any security.
Portfolio IQ diagnoses a portfolio you already hold. Portfolio Architect answers the harder question that comes first: given an amount to invest, an objective and a risk appetite, which combination of businesses gives the best balance of quality, valuation support, durability and diversification? It compresses an institutional portfolio committee into a clean, explainable model basket. It is a signed-in feature and currently covers the US market.
The engine is deterministic and auditable: every holding and every weight comes from rules, market data and established portfolio mathematics. No AI selects the stocks or sets the weights; AI is used only to phrase explanations. Every generated portfolio is stored with its inputs, the universe it searched, the names chosen, the weights, and the model version.
A recommendation is only as good as the universe it searches, so Architect does not pick from a narrow index. It maintains a security master of every eligible US listed stock (drawn from the exchange screener and filtered to real common stocks above a market-cap and liquidity floor, excluding funds and inactive listings), and computes full Invyra intelligence (IQ, intrinsic value, moat, earnings quality, risk) on the most liquid and most-requested names first. The covered universe grows as users explore, and each company's metrics refresh after it reports earnings. Suggestions only ever draw from vetted, covered, liquid names.
Each eligible stock is ranked by a quality-first composite that weights several signals, with the weighting shifting by objective (value, growth, income or balanced):
Long-term outcomes depend most on business quality, capital efficiency and balance-sheet strength, so IQ carries the heaviest weight and a minimum-quality gate filters weak names out before ranking.
Undervaluation versus Invyra IV is credited more in high-quality businesses and less in weak ones (scaled by a factor of 0.60 + 0.40 x IQ). This is the core value-trap guard: cheap is only rewarded when the business deserves it.
Moat score rewards a durable competitive advantage; earnings quality (cash flow versus reported profit, accruals, margin stability) protects against accounting-driven traps.
Invyra Prism adds near-term timing context and a smart-money signal adds institutional confirmation. Both carry deliberately light weight, and timing is near zero for a long-term value objective.
Picking high-scoring stocks is not the same as building a good portfolio. After selecting the basket (greedy by score, capped per sector, 8 to 15 names by risk profile), Architect sets the weights with Hierarchical Risk Parity (Lopez de Prado, 2016) rather than naive equal weighting or unstable mean-variance optimisation. Using a Ledoit-Wolf-shrunk covariance from real return history, it clusters correlated names, then allocates risk top-down across those clusters. The effect is that ten names which secretly move together are not treated as ten independent bets. Weights are then clipped to per-position and per-sector caps and converted to whole shares for the chosen amount, with leftover cash placed greedily within the caps, or parked in a broad-market ETF when too few names clear the bar.
Every model portfolio carries risk figures measured from real return history, not asserted: annualised volatility, beta to the market, modelled maximum drawdown, and daily 95% CVaR (expected shortfall in the worst outcomes). Alongside these sit the sector breakdown, a per-holding rationale, a confidence reading, and an honest "what could go wrong" list that names the largest concentration and the value-trap and data-freshness caveats.
Portfolio Architect combines Invyra's proprietary company intelligence with established portfolio theory: Markowitz's risk-return framework as a foundation, Hierarchical Risk Parity for robust, cluster-aware diversification, Ledoit-Wolf covariance shrinkage for stable estimation, and the Rockafellar-Uryasev work on CVaR. The guiding principle is to optimise business ownership, not historical price patterns: a broad enough universe, clean data, quality scoring, valuation discipline, risk-aware allocation, clear explanations and full auditability.
Portfolio Architect generates educational model-portfolio ideas from a deterministic, rules-based engine over Invyra's covered investable universe. It is not personalised financial advice, and Invyra is not a licensed investment adviser.
Sector rotation is the observable pattern of capital flowing between market sectors as economic conditions shift. During risk-on environments, money flows into Technology and Consumer Cyclical; during risk-off periods, it rotates into Utilities, Healthcare, and Consumer Defensive. Invyra's Sector Rotation Radar quantifies this flow using four proprietary signals.
The average Invyra Prism score across all stocks in the sector. A high average Prism score means most stocks in the sector have bullish momentum, trend alignment, and favourable technical conditions. This is the strongest signal of active capital inflow.
The percentage of stocks in the sector trading above their 200-day moving average. When 80% of Technology stocks are above their 200-DMA but only 30% of Energy stocks are, capital is clearly favouring Technology. Breadth above 50% maps to positive flow, below 50% maps to outflow.
The average Invyra IV discount across the sector. A sector where most stocks trade below their intrinsic value attracts value-oriented capital. This signal adds a fundamental anchor to the momentum-driven signals above.
The average moat quality score across the sector. Higher quality sectors with strong competitive advantages tend to attract and retain capital during volatile markets. Quality acts as a confirmation signal that inflows are sustainable.
The four signals are combined into a single Sector Strength score ranging from -100 to +100. The score determines the rotation signal for each sector.
Strong capital flowing into this sector. Most stocks have bullish momentum, broad participation above 200-DMA, and favourable valuations.
No clear directional bias. Capital is neither flowing in nor out in a meaningful way. Wait for a stronger signal before overweighting.
Capital is leaving this sector. Most stocks show weak momentum, poor breadth, and deteriorating conditions. Avoid overweighting unless you have a strong contrarian thesis.
Invyra automatically identifies the macro rotation pattern by analysing which sectors lead and which lag:
Invyra covers five major equity markets with a shared research architecture and market-specific lenses. Every market uses the same core IV and IQ philosophy, adapted for local currency, exchange conventions, price cadence, dividend culture, and available source data.
The US market has the deepest feature set: S&P 500 Value Map, S&P 100 valuation screener, Prism, Smart Money Intelligence, Super Investors, Congress STOCK Act, Fear & Greed, Macro Pulse, Optix for US options, and near-live completed intraday price snapshots. Currency: USD.
FTSE 100 Value Map and screener coverage. The UK lens emphasises dividend durability, balance-sheet quality, moat context, and pence-to-pound normalisation. Prism is not used for UK stocks. Currency: GBP or GBX/GBp converted to GBP where applicable.
India uses Nifty 100 for the broader Value Map and Nifty 50 for the main screener. The India lens emphasises business quality, balance-sheet strength, dividend durability, and FII/DII context. Prism is not used for India stocks. Currency: INR.
STI 30 Value Map and screener coverage with specialised REIT valuation models (DDM, P/NAV, Yield Spread, P/FFO) for Singapore's REIT-heavy market. The Singapore lens emphasises dividend yield, distribution durability, bank quality, REIT balance sheets, and local currency treatment. Prism is not used for Singapore stocks. Currency: SGD, with statement-currency conversion when needed.
Nikkei 225 Value Map and screener coverage, including Japan-listed leaders and J-REIT support where data allows. The Japan lens emphasises quality, balance-sheet resilience, dividend durability, and yen-denominated valuation discipline. Prism is not used for Japan stocks. Currency: JPY.
Each market has a dedicated refresh window aligned to its local market close and API limits. US market-wide pricing uses completed intraday snapshots for near-live Value Map accuracy. India, Singapore, Japan, and the UK use latest completed end-of-day prices for market-wide maps and screeners. Research backfills and scheduled refreshes store IV, IQ, moat, levels, price timestamps, and model version in the database before the frontend reads them.
The Volatility Constellation is a discovery board for comparing S&P 500 option setups. It brings together option pricing, IV context, executable liquidity, deterministic price location, and near-term event risk. Its purpose is to help users decide what deserves deeper research. It is not a buy or sell oracle, a trade recommendation, or a probability-of-profit model.
| Visual element | Measurement | Plain-English meaning |
|---|---|---|
| Horizontal axis | Near-30-day ATM implied volatility minus trailing 30-day realised volatility | Right means options imply more movement than the stock recently delivered. Left means options look cheaper relative to that recent movement. |
| Vertical axis | 252-session own-stock IV percentile when complete; otherwise today's S&P 500 peer IV rank | Higher means current IV is elevated within the stated comparison set. The board tells the user whether it is using the stock's own history or the provisional peer comparison. |
| Bubble size | Executable-liquidity score | Larger bubbles are a better starting point based mainly on relative bid-ask cost and displayed quote size. Open interest is supporting evidence only. |
| Bubble colour | Price location versus deterministic levels | Teal means near support, blue means between major levels, and coral means near resistance. Distance is measured using the stock's normal trading range, or ATR. |
| Outer rings | Earnings or ex-dividend date within seven days | Gold flags earnings gap and IV-crush risk. A dashed violet ring flags dividend and possible early-assignment considerations. |
The matrix becomes useful only when two independent ideas align: how options are priced and where the stock sits relative to support or resistance. The resulting labels are strategy candidates to investigate, not instructions to trade.
| Volatility setup | Price location | Strategy to investigate | Risk to review first |
|---|---|---|---|
| Rich premium | Near support | Cash-secured put or bull put spread | Support can fail. A cash-secured put can create substantial assignment exposure; a spread caps maximum loss. |
| Cheap optionality | Near support | Long call or bull call spread | The rebound must be large and fast enough to overcome time decay. |
| Rich premium | Near resistance | Covered call or bear call spread | Resistance can fail. A covered call gives up upside; a spread can lose its defined maximum. |
| Cheap optionality | Near resistance | Long put or bear put spread | The decline must be large and fast enough to overcome time decay and downside skew. |
The IV comparison must be at least 3 volatility points above recent realised movement and the IV context must rank at or above 70. Both conditions are required.
The IV comparison must be zero or negative and the IV context must rank at or below 30. Cheap relative pricing does not mean the option itself is inexpensive in dollars.
A candidate needs a liquidity score of at least 50, at least two usable near-the-money contracts, and a relative spread no wider than 10%. The live contract still needs review.
Earnings within seven days changes the state to Event Risk. An ex-dividend date changes it to Dividend Review. Neither is presented as a normal matrix candidate.
The board reads one canonical Neon snapshot per stock and trade date. A stock appears only when the required IV spread, liquidity reading, and deterministic level state are available. Missing values stay missing and incomplete names are excluded from breadth statistics.
A true own-stock 12-month IV percentile requires 252 valid stored sessions. While that history is still being staged, the board uses a clearly labelled cross-sectional IV rank versus today's mapped S&P 500 peers. The peer rank answers a different question and is never presented as the stock's own historical percentile.
Research context: Cboe volatility trading considerations, Cboe volatility risk premium study, and Options Industry Council liquidity guidance. The cited historical findings concern benchmark index strategies and do not establish an edge for any individual stock or trade.
Invyra Optix is an options research engine that evaluates market context, stock quality, option pricing, strategy fit, contract structure, position risk, and exit rules. It produces an Optix Score from 0 to 100 and a model verdict that helps the user decide whether a setup deserves deeper review.
Optix is available for US-listed stocks only, so the tab is hidden for non-US markets. It supports premium-selling and directional option structures. Every output is a research candidate, not a personalised recommendation or an instruction to trade.
Before presenting a candidate, Optix runs through seven layers of analysis. The output shows the score, strategy lens, contract details, model evidence, and risks so the user can inspect why the setup was selected.
Optix evaluates the broad market regime using the S&P 500 trend, VIX level, and momentum signals. It classifies the environment as Bull, Neutral, Correction, or Bear, then uses that state as one input when screening strategy candidates. The regime is context, not proof that a strategy will work.
Not every stock qualifies. Optix checks that the stock has liquid options, adequate price for meaningful contracts, and passes a minimum Invyra IQ quality threshold. Stocks that fail qualification are rejected before any trade analysis begins.
The Volatility Intelligence Composite Score (VICS) describes whether option pricing looks rich, balanced, or lean. It considers implied volatility, recent realised volatility, IV context, and put skew. A high score can make premium-selling structures worth researching, but it can also reflect event, jump, or tail risk. It is not a guaranteed seller edge.
Optix selects a strategy candidate based on the stock's fundamental quality, competitive moat, valuation relative to intrinsic value, market regime, and deterministic price location. The supported structures include Cash-Secured Put, Covered Call, Bull Put Spread, Wide Bull Put Spread (BPS Ultra), and Bear Put Spread. Each has its own entry and risk requirements.
Once a strategy lens is selected, Optix scans the options chain for a candidate contract. It evaluates estimated probability of profit, modelled expected value, risk-reward, delta alignment, and liquidity across eight dimensions. The result includes strike, premium, expiration, breakeven, maximum profit, maximum loss, and the assumptions behind the estimate.
The position-sizing framework scales model exposure with setup quality while applying strategy risk limits and hard contract caps. It is a research aid only. The user remains responsible for account-level exposure, concentration, assignment capacity, and suitability.
Each candidate includes modelled profit targets, loss limits, time-based review points, and roll conditions. Cash-Secured Put and Covered Call candidates can also show Wheel transition context. These are predefined research rules, not automated position management.
Sell a put option on a stock you would be prepared to own. You collect premium upfront and either keep it if the stock stays above the strike or buy the stock if assigned. Optix considers CSP candidates only when the stock has a competitive moat and strong IQ score, because assignment creates shareholder exposure. It also checks whether the strike is at or below Invyra IV, while recognising that intrinsic value is a model estimate rather than a guaranteed floor.
Sell a call option against shares you already own. You collect premium and may have to sell the shares at the strike if called away. Optix considers covered-call candidates when the stock trades meaningfully above its modelled intrinsic value, while making the capped upside and assignment risk explicit.
Sell a put and buy a lower-strike put for protection. You collect a net credit with a defined maximum loss (the spread width minus credit). This is the workhorse strategy for stocks where you are bullish but do not want assignment risk. It works well in moderate volatility and requires less capital than a Cash-Secured Put.
A Bull Put Spread placed farther out of the money, usually for a higher modelled probability of profit and a smaller credit. The estimated probability is not an observed win rate. Occasional maximum losses can outweigh many small winners, so credit, spread width, liquidity, and event risk remain essential.
Buy a put and sell a lower-strike put. This is a debit spread that profits when the stock falls. Optix selects this only in bear or correction regimes as a defined-risk directional trade.
What makes Optix different from a standard options screener is that strike selection is grounded in fundamental analysis, not just Greeks:
Cash-Secured Put candidates require a wide or narrow moat. If the stock does not pass the moat gate, Optix can show a defined-risk Bull Put Spread candidate instead. The gate reflects the fact that put assignment can turn an options position into long-term share ownership.
For Cash-Secured Puts, the strike is placed at or below the stock's Invyra IV fair value. If assigned, you buy shares at a genuine discount. For Covered Calls, the strategy is only offered when the stock trades above fair value so you would be selling at a premium.
Put strikes are ranked against deterministic support zones, while covered-call strikes are ranked against resistance zones. A zone can combine confirmed price reactions, volume-at-price, moving averages, range extremes, anchored VWAP, gaps, round-number structure, and options open-interest concentration. Moving averages remain a fallback when a qualified structural zone is unavailable.
Level Intelligence turns historical market structure into auditable support and resistance zones. The engine is deterministic: the same price and options data produces the same zones. AI does not calculate, move, or invent a level. Ivy may explain the evidence already produced by the engine, but the numeric output always comes from the rules-based model.
Candidate prices are clustered into volatility-adjusted zones using ATR and a minimum percentage-of-price tolerance. This recognises that markets usually react within an area rather than at one exact cent. Each result shows the zone range, its distance from current price, and its distance in ATR units.
Zone strength reflects observed reactions, rejection magnitude, recency, independent-source confluence, volume participation, persistence, and recent breaks. The interface displays the leading evidence and labels each zone as developing, moderate, or high confidence. A higher score describes stronger historical evidence; it is not a probability that the level will hold.
Swing uses roughly six months of daily structure, Position uses up to two years, and Long-term uses up to five years when available. The Position view is used for Optix strike alignment because it balances recent relevance with enough history to validate repeated reactions.
Concentrated put or call open interest can strengthen a nearby price zone and the nearest expiry's at-the-money straddle provides an expected-move range. Open interest is unsigned: it does not reveal whether dealers are long or short, and Invyra does not present it as a dealer-positioning signal.
Calibration reconstructs each historical zone using only information that existed before its test window, then records whether price tested, reacted from, or breached the zone. Results are separated by support, resistance, and confidence tier to detect score inflation and changing market behaviour without look-ahead bias.
The Optix Score is a composite of eight dimensions: probability of profit, expected value, volatility edge, risk-reward ratio, delta alignment, stock quality, regime alignment, and options liquidity. All eight are shown as dimension bars in the Optix tab so you can see exactly where the setup is strong and where it is weak.
Optix supports the Options Wheel strategy by linking Cash-Secured Puts and Covered Calls into a continuous income cycle. If your Cash-Secured Put results in assignment (you buy the shares), the exit plan guides you to start selling Covered Calls on those shares. If your Covered Call results in the shares being called away, the plan guides you to start selling Cash-Secured Puts again. This creates a recurring premium income loop on stocks you are comfortable owning.
Optix is a decision-support tool, not an execution system. It does not place trades, manage positions, or connect to a brokerage. It does not guarantee profits. Options trading carries significant risk, and model scores do not predict future results. Always review the live contract, assumptions, liquidity, event dates, assignment exposure, and maximum loss before making an independent decision.
For UK, Singapore, and Japan markets, Invyra displays a dedicated Dividend Yield panel for non-REIT stocks. This helps income-focused investors quickly identify dividend-paying companies and assess yield quality.
The trailing 12-month dividend as a percentage of the current share price. Colour-coded: green for yields above 4% (high), amber for 2-4% (moderate), grey for below 2% (minimal).
The most recent dividend payment per share in local currency. For UK stocks this is shown in pounds (after pence conversion), for Japan in yen (rounded to whole numbers).
Stocks yielding 3% or above are classified as "Income" plays (dividend-focused). Below 3% are classified as "Growth" (capital gains focus). This quick label helps you understand the stock's investment character at a glance.
Accurate multi-currency support is critical for international stock analysis. Invyra handles currency normalisation at the API layer so every price, valuation, and metric you see is in the correct local currency.
London Stock Exchange stocks trade in pence (GBX), not pounds (GBP). Some data providers report prices in pence but financial statements in pounds. Without conversion, a stock trading at 1,017 pence would display as "£1,017" instead of the correct "£10.17". Invyra detects pence-denominated stocks using the currency field (GBp, GBx, or GBX) and converts all user-facing values to pounds.
For pence-denominated stocks, the following values are all divided by 100 before display: current price, price change, previous close, market capitalisation, dividend yield, last dividend per share, historical chart prices, and all technical indicator levels (50 DMA, 200 DMA, OHLC data for RSI, MACD, and Williams %R calculations).
Dividing by 100 in JavaScript can produce floating point artefacts (e.g., £13.324000000000002 instead of £13.32). Invyra uses a rounding helper that converts pence to an integer first, then divides, eliminating these precision errors across all endpoints.
Invyra does not assume the reporting currency from the ticker suffix. A company may trade in one currency and report its financial statements in another. For example, a Singapore-listed stock can trade in SGD while its statements are reported in THB or USD. Invyra detects the statement currency and converts financial inputs into the stock's trading currency before calculating per-share IV, debt, cash flow, book value, and related valuation metrics.
Debt, cash, free cash flow, book value, dividends, and share-count inputs must be expressed in the same currency as the traded share price before Invyra calculates per-share value. If a company trades in SGD but reports in THB, the model converts THB financial-statement values into SGD before calculating IV. This avoids distorted outputs such as a Singapore share price being compared against an unconverted Thai baht valuation base.
Some listed securities represent more or less than one ordinary share. Invyra checks listing-unit and ADR/ADS ratio metadata when available so a per-share valuation is compared against the correct traded security. This matters for foreign companies listed in the US and for markets where provider data can mix ordinary-share, unit, and receipt conventions.
Invyra no longer allows a very low reported beta to drive an unrealistically low discount rate for every market. The current risk model applies currency and country-aware floors for cost of equity, WACC, and terminal growth. For cross-currency companies, the model considers both the trading currency and the reported operating currency, then applies the more conservative risk lens when the operating currency carries higher country or currency risk.
Most Japanese stocks on JPX trade and report in yen, and yen values are displayed as whole numbers since the smallest unit is ¥1. Singapore, India, UK and other covered markets are handled case by case: when the trading currency and reporting currency match, no conversion is applied; when they differ, the API converts the financial statements into the trading currency before storing and displaying the model output.
UK stocks use different ticker symbols across exchanges. HSBC is listed as HSBA on the LSE but HSBC globally. Invyra maintains a mapping table (19 major LSE tickers) to translate between LSE symbols and their global equivalents for news retrieval via Finnhub. When the mapped symbol returns no results, a secondary search using the company's short name ensures news coverage for all FTSE 100 constituents.
Ask Ivy is an AI assistant built directly into the Invyra app. Instead of navigating tabs and reading charts, you can simply ask a question in plain English and get an instant, data-backed answer. Ivy draws from every Invyra engine in real time, so every response is grounded in the same scores, valuations, and signals you see on screen.
Ivy is available as a floating chat button in the bottom-right corner of the app. Tap it, type your question, and get an answer in seconds.
Ask Ivy what a stock's IQ score means, whether the IV fair value suggests the stock is undervalued, what the Prism signal is telling you, or how the Optix verdict was reached. Ivy explains every score in plain English with the actual numbers from Invyra's engines.
Ask about options strategies and Ivy can explain the current Optix research candidate, including strikes, premiums, maximum profit and loss, breakeven, modelled probability of profit, and return assumptions. You can also ask about a specific structure, for example "Is there a cash-secured put candidate for Microsoft?" or "Show me the bull put spread candidate for Apple."
You do not need to navigate to a stock's page first. While viewing Microsoft, you can ask "What is Google's fair value?" or "Show me Tesla's IQ score" and Ivy will fetch the data for that stock automatically. Ivy recognises over 40 company names and their ticker symbols, so you can use either.
New to investing? Ask Ivy to explain what P/E ratio means, how market cap works, what options are, or how to read a moat score. Ivy breaks down financial concepts without jargon, making the platform accessible to beginners and experienced investors alike.
Ask Ivy to compare two stocks, explain what a particular signal means in context, or help you understand whether a score is good or bad relative to the stock's sector. Ivy maintains conversation history so you can have a back-and-forth dialogue.
When you send a message, Ivy automatically identifies which stock you are asking about and fetches all available data from Invyra's database. This includes the company profile, IQ score, IV fair value, Prism signal, moat grade, and earnings quality. If your question involves options, Ivy can run the full Optix analysis on demand and explain the current research candidate and its risks. All of this happens server-side, so Ivy uses the latest available stored and live inputs regardless of which stock is loaded on screen.
Ivy does not give personal investment advice or tell you to buy or sell any stock. Ivy shares the data and analysis that Invyra's engines compute and helps you understand what the numbers mean, but the decision is always yours. Ivy also does not reveal how Invyra's proprietary engines calculate their scores. If you ask about methodology, Ivy will direct you to this page.
Try it now: Open the Invyra app, click the chat icon in the bottom-right corner, and ask something like "What is Apple's IQ score?" or "Is there an options trade for Microsoft?"
Launch the Invyra app and start analyzing stocks with complete transparency on every metric, signal, and calculation.
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