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40+ Data Points Per Stock: What Gainwise Actually Analyzes

Gainwise Team

The Data Behind Every Brief

When Gainwise generates your daily pulse or weekly brief, it doesn't just check if your stocks went up or down. For every single holding in your portfolio, it pulls and analyzes over 40 distinct data points across four categories: price action, technical indicators, fundamental metrics, and real-time news.

If you hold 20 stocks, that's 800+ data points synthesized into a single, readable brief. Let's break down exactly what goes into each one.

Category 1: Price & Position Data

For each holding, Gainwise pulls:

  • +Current price and intraday change
  • +Your position: shares, cost basis, average cost per share
  • +Portfolio weight: what percentage of your total portfolio this holding represents
  • +Unrealized gain/loss: both in dollars and percentage
  • +52-week high and low: where the stock sits relative to its annual range

This is the baseline. Most portfolio trackers stop here. Gainwise is just getting started.

Category 2: Technical Indicators

Technical analysis helps identify momentum, trend direction, and overbought/oversold conditions. Gainwise calculates these from 400 days of historical price data:

  • +RSI (14-period): measures momentum. Above 70 suggests overbought, below 30 suggests oversold
  • +50-day SMA: short-term trend direction. Is the stock above or below?
  • +200-day SMA: long-term trend. A stock below its 200-day average is in a technical downtrend
  • +MACD histogram: signals trend changes before they're obvious in the price

These indicators help the AI distinguish between a healthy pullback and a genuine trend reversal.

Category 3: Fundamental Metrics

This is where it gets serious. For each holding, Gainwise pulls financial data directly from Yahoo Finance:

Valuation:

  • +Forward P/E ratio (how expensive is this stock relative to expected earnings?)
  • +PEG ratio (is the P/E justified by growth?)
  • +Price-to-book ratio
  • +EV/EBITDA (enterprise value relative to cash earnings)

Profitability:

  • +Profit margin, operating margin, gross margin
  • +Return on equity (ROE): how efficiently does management use shareholder capital?
  • +Return on assets (ROA)

Growth:

  • +Revenue growth rate (year-over-year)
  • +Earnings growth rate

Financial Health:

  • +Debt-to-equity ratio: how leveraged is the company?
  • +Current ratio: can it pay short-term obligations?
  • +Free cash flow: how much actual cash does the business generate?

Dividends (if applicable):

  • +Dividend yield
  • +Payout ratio: what percentage of earnings goes to dividends? (High payout ratios signal risk)
  • +Ex-dividend date

Analyst Consensus:

  • +Mean analyst price target
  • +Target range (low to high)
  • +Number of covering analysts
  • +Consensus rating (strong buy to sell)

Earnings:

  • +Next earnings date
  • +Current quarter EPS estimate
  • +Current year and next year EPS estimates

Risk:

  • +Beta (volatility relative to the market)
  • +Short interest as percentage of float (above 5% gets flagged)

Category 4: Real-Time News

For each of your top holdings by portfolio weight, Gainwise fetches the latest headlines from Yahoo Finance. Not summaries of summaries. Actual headlines from actual publishers, with dates and sources.

The AI uses these headlines to ground its recommendations in reality. When it says "consider trimming," it's because of a specific earnings miss, regulatory action, or analyst downgrade that happened this week.

Why This Matters

Let's do the math. A portfolio with 20 holdings generates roughly:

  • +20 price/position calculations
  • +80 technical indicator values (4 per stock)
  • +400+ fundamental data points (20+ per stock)
  • +60 news headlines (3 per top holding)
  • +Sector allocation analysis across all holdings
  • +Cross-holding correlation checks

That's over 800 data points processed, cross-referenced, and synthesized into a brief you can read in 2 minutes.

A professional analyst covering a single stock might spend hours pulling these same metrics from Bloomberg or FactSet. You'd need a team of 20 analysts to cover a 20-stock portfolio at this depth. Or you could let Gainwise do it in about 15 seconds.

What the AI Does With All This Data

Raw numbers are useless without interpretation. Here's what Gainwise's AI actually does with these data points:

Flags stretched valuations. A stock trading at 45x forward earnings with a PEG ratio above 2 is priced for perfection. If that stock also has declining revenue growth, the AI will flag the disconnect.

Spots dividend risk. A payout ratio above 80% combined with rising debt-to-equity means the dividend might not be sustainable. You'd want to know that before the cut happens.

Tracks analyst sentiment shifts. If the consensus target drops from $180 to $150 while the stock is at $170, that's a signal worth surfacing.

Identifies earnings catalysts. The AI knows when each of your holdings reports earnings and will highlight it in your brief, along with the EPS estimates so you can watch for surprises.

Connects the dots across holdings. If three of your stocks are in the same sector and all showing declining margins, that's a sector-wide trend, not three isolated events.

The Human Limitation

This isn't about intelligence. Smart investors miss things all the time because the volume of information is simply too high. You can't simultaneously track P/E ratios, margin trends, analyst revisions, technical indicators, and breaking news across 20 companies while also living your life.

Gainwise doesn't replace your judgment. It replaces the 20 hours per week of data gathering and synthesis that you were never going to do anyway.

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