Blog
Guides, strategies, and insights for smarter stock analysis.
A Position Sizing Framework That Won't Keep You Up at Night
A practical position sizing approach built on simplified Kelly criterion, risk-per-trade limits, and portfolio-level allocation guardrails.
Factor Investing in Plain English
Value, momentum, quality, size, and volatility: the five major investment factors explained without jargon, with practical applications for retail portfolios.
Risk Management for Retail Portfolios
Practical position sizing, stop-loss strategies, correlation awareness, and drawdown limits for retail investors managing their own money.
Earnings Season Checklist: What to Watch Before, During, and After
A structured approach to earnings season: how to prepare, what metrics matter on the call, and how to interpret post-earnings price action.
How to Backtest a Trading Strategy (The Right Way)
Learn how to properly backtest trading strategies, avoid common pitfalls like overfitting, and use statistical credibility testing to validate your results.
DCF vs Multiples: When to Use Each Valuation Method
When discounted cash flow analysis works, when relative multiples are better, and the pitfalls that trip up both approaches.
How to Build a Watchlist That Beats the Headlines
A practical approach to screening stocks, defining what criteria actually matter, and avoiding the FOMO trap of chasing news-driven momentum.
Understanding P/E Ratio: A Complete Guide for Investors
Learn what the P/E ratio means, how to interpret it, and when it can mislead you. Includes sector comparisons and practical examples.
Free vs Pro: Which Plan Fits Your Trading Style?
A practical comparison of Alphactor's Free, Pro, and Premium plans to help you pick the right tier for your trading and analysis workflow.
Alphactor on Mobile: Full Analysis Power in Your Pocket
How Alphactor's mobile experience delivers portfolio monitoring, strategy signals, alerts, and stock analysis from your phone.
Leaderboards and Social Profiles: Learn from the Best Performers
How Alphactor's leaderboards rank users by verified strategy performance, and how social profiles help you find traders worth following.
Custom Compliance Rules: Build Guardrails for Your Portfolio
How to use Alphactor's compliance rules to enforce position limits, sector caps, and risk thresholds automatically across your portfolios.
TradingView vs alphactor.ai: Which Stock Analysis Tool is Right for You?
A detailed comparison of TradingView and alphactor.ai for stock analysis, backtesting, and portfolio management.
ESG Scoring for Your Portfolio: What the Numbers Mean
How to interpret ESG scores on Alphactor, use them in portfolio construction, and understand where sustainable investing meets quantitative analysis.
3 Universe Scanner Workflows for Finding Your Next Trade
Practical workflows using Alphactor's Universe Scanner to find actionable buy and sell signals, sector rotations, and high-credibility setups.
The AI Copilot: Ask Your Portfolio a Question, Get a Data-Backed Answer
How Alphactor's AI Copilot turns natural language questions into data-driven portfolio insights, grounded in your actual holdings and market data.
Stress Testing Your Portfolio: What Would 2008 Do to Your Holdings?
How to use Alphactor's portfolio stress testing to simulate historical crashes, measure VaR, and understand your real downside risk.
The Strategy Marketplace: Share What Works, Adopt What's Proven
How Alphactor's Strategy Marketplace lets you browse, adopt, and rate community-published trading strategies with full performance transparency.
Why Most Backtests Lie (And How Our 6-Layer Credibility Pipeline Fixes It)
How Alphactor's 6-layer credibility pipeline catches overfitting, data snooping, and curve-fitted strategies before they cost you money.
Industrial Stocks: Betting on the Real Economy
How industrial stocks track economic growth, the leading indicators that predict their performance, and a framework for investing across the industrial sub-sectors.
Utility Stocks for Income: Yield, Safety, and the Rate Sensitivity Trap
How to evaluate utility stocks for income portfolios, including the regulatory framework, rate sensitivity dynamics, and metrics that identify quality utility investments.
Defense Stocks: Government Contracts as a Revenue Moat
How defense contractors generate durable revenue through government contracts, and the metrics that matter for analyzing Lockheed Martin, RTX, and their peers.
Semiconductor Stocks: Cyclical, Essential, and Permanently Volatile
How to invest in semiconductor stocks by understanding the chip cycle, supply chain structure, and competitive moats that define the industry.
How to Analyze REITs: FFO, NAV, and the Metrics That Replace P/E
A practical guide to REIT-specific valuation metrics, including FFO, AFFO, NAV, and the cap rate framework that replaces traditional equity analysis.
Consumer Staples as Portfolio Defense: The Boring Stocks That Save You
Why consumer staples outperform during downturns, which metrics define quality in the sector, and how to use boring stocks as portfolio insurance.
Bank Stocks and Interest Rates: The Relationship Everyone Gets Wrong
Why the simplistic 'higher rates help banks' narrative breaks down, and how to analyze financial stocks through net interest margin, credit quality, and the yield curve.
Energy Stocks and the Commodity Cycle: When to Buy and When to Run
How commodity price cycles drive energy stock returns, and a framework for timing entries and exits across upstream, midstream, and downstream companies.
Healthcare Investing: Pharma, Biotech, and the FDA Calendar
A framework for navigating healthcare stocks across pharma, biotech, and medical devices, with emphasis on regulatory catalysts and pipeline valuation.
How to Analyze Tech Stocks: Metrics That Matter Beyond Revenue Growth
The financial metrics that separate winning tech investments from hype-driven traps, with frameworks for evaluating SaaS, hardware, and platform businesses.
Dark Pool Activity: Reading the Institutional Order Flow
What dark pools are, why institutions use them, and how tracking dark pool prints and volume can reveal where smart money is positioning before it shows up in the tape.
Stock Market Seasonality: Which Calendar Effects Still Work?
An evidence-based look at the January effect, sell-in-May, the Santa Claus rally, and other seasonal patterns, separating the ones that still hold from those arbitraged away.
What the Options Market Tells You About Stock Direction
How to read implied volatility, put/call ratios, unusual activity, and gamma exposure to extract directional signals from the options market.
Sentiment Extremes: When Fear and Greed Become Tradeable
How to identify sentiment extremes using survey data, options positioning, and fund flows, and why contrarian signals work best when combined with technical confirmation.
Market Breadth: The Health Check Most Investors Skip
How advance-decline lines, new highs-lows, and participation rates reveal whether a rally is built on solid ground or propped up by a handful of stocks.
Small Cap vs Large Cap: When Size Matters in Stock Selection
The historical performance gap between small and large cap stocks, when each segment leads, and how to use market conditions to decide where to allocate.
The Sector Rotation Playbook: Where Money Flows in Each Market Phase
How institutional capital rotates between sectors as the economic cycle turns, and how to track rotation signals to position ahead of the crowd.
How Fed Policy Actually Affects Your Stock Portfolio
A practical guide to understanding how interest rate decisions, quantitative tightening, and Fed communication move equity markets at the sector and stock level.
How Earnings Season Actually Moves Markets (It's Not Just Beat or Miss)
Why the market's reaction to earnings reports depends on guidance, positioning, and expectations far more than the headline EPS number.
Market Regimes: Why the Same Strategy Works in Bull Markets and Fails in Bear Markets
How to identify market regimes using volatility, breadth, and trend data, and why adapting your strategy to the current environment separates consistent performers from one-cycle wonders.
Knowing Your Emotional Triggers Isn't Soft — It's Edge
Emotional self-awareness is not a personality exercise. It is a concrete trading advantage that reduces costly mistakes and protects capital.
Keeping a Trading Journal: The Habit That Separates Amateurs from Pros
A trading journal is the cheapest, most effective tool for improving performance. Here is what to track, how to review it, and why most people quit too soon.
The 5 Position Sizing Mistakes That Blow Up Accounts
Position sizing errors kill more accounts than bad stock picks. Here are the five most common mistakes and how to avoid each one.
Value at Risk in Plain English: What It Tells You and What It Hides
VaR is the most widely used risk metric in finance. It is also the most misunderstood. Here is what it actually means and where it fails.
In a Crisis, All Correlations Go to One
Diversification fails exactly when you need it most. Here is why correlations spike during crises and how to build portfolios that survive it.
Survivorship Bias: The Invisible Flaw in Your Stock Screener
Survivorship bias silently inflates backtest returns and warps stock screener results. Here is how it works and what to do about it.
Revenge Trading: How One Bad Day Becomes a Bad Month
Revenge trading is the single fastest way to turn a manageable loss into a catastrophic one. Here is how it works and how to break the cycle.
Why Maximum Drawdown Is More Important Than Annual Return
Maximum drawdown reveals what your portfolio almost did to you. Here is why it matters more than the number everyone brags about.
Stop Losses: Fixed, Trailing, or Volatility-Based — Which One Saves You?
A practical comparison of fixed, trailing, and volatility-based stop losses with real scenarios showing when each type works and fails.
A 30% Drawdown Requires a 43% Gain to Recover — And Other Math That Should Scare You
The asymmetric math of drawdowns explained, and why understanding recovery requirements changes how you manage risk.
The Quarterly Portfolio Review Checklist
A structured quarterly review process covering performance attribution, risk assessment, thesis validation, and rebalancing decisions.
Portfolio Strategy When You Have Under $25K
How to build a sensible portfolio with limited capital, avoiding the traps that small accounts fall into most often.
Tax-Loss Harvesting: The Free Lunch That Actually Exists
How to use realized losses to reduce your tax bill without changing your portfolio's risk profile or market exposure.
Choosing the Right Benchmark (Hint: It's Probably Not the S&P 500)
Why benchmarking against the wrong index distorts your performance assessment and how to select a benchmark that matches your actual portfolio.
Sector Allocation: How Much Tech Is Too Much?
A framework for sector allocation that balances growth exposure with concentration risk, using real-world examples.
Monte Carlo Simulation: Stress Testing Your Portfolio's Future
How Monte Carlo simulations model thousands of possible portfolio outcomes and why they are more useful than single-point forecasts.
Risk Parity: Allocating by Risk, Not by Dollars
How risk parity portfolios work, why they differ from traditional allocation, and how to apply the concept without a PhD in finance.
Concentrated vs Diversified: The Portfolio Sizing Debate
The tradeoffs between concentrated and diversified portfolios, with practical guidance on how many stocks you actually need.
When to Rebalance Your Portfolio (And When to Leave It Alone)
A practical framework for portfolio rebalancing that balances discipline with transaction costs and tax efficiency.
Correlation: The Number That Makes or Breaks Your Diversification
How correlation coefficients reveal whether your portfolio is truly diversified or just a collection of stocks that move in lockstep.
Price-to-Sales for Growth Stocks: When Earnings Don't Exist Yet
How to use price-to-sales ratio to value high-growth companies that are not yet profitable, and the traps that make this metric dangerous.
Insider Buying: The One Signal That's Hard to Fake
Why corporate insiders buying their own stock is one of the most reliable bullish signals in equity analysis, and how to separate meaningful purchases from noise.
The Dividend Yield Trap: When High Yield Signals Danger
Why chasing the highest dividend yields is one of the most common mistakes income investors make, and how to identify sustainable dividends.
Price-to-Book Value: Useful for Banks, Misleading for Tech
When price-to-book ratio works as a valuation tool, when it completely fails, and how to apply it correctly by sector.
Not All Revenue Growth Is Created Equal
Why the source and sustainability of revenue growth matters more than the headline number, and how to distinguish organic growth from accounting illusions.
Gross Margins as a Moat Indicator: What 40%+ Really Means
Why gross margin is one of the strongest signals of competitive advantage, how to interpret it by sector, and what margin trends reveal about business quality.
Debt-to-Equity Ratio: When Leverage Goes from Smart to Dangerous
How to evaluate a company's debt load, when leverage creates value, when it destroys it, and the sector-specific thresholds that matter.
Return on Equity: The Number That Separates Good Companies from Great Ones
How to use ROE to identify high-quality businesses, why the DuPont decomposition matters, and the leverage trap that inflates the metric.
Why Free Cash Flow Matters More Than Earnings
Earnings can be managed. Cash flow cannot. How to use free cash flow to evaluate business quality and avoid accounting illusions.
EV/EBITDA: The Valuation Metric Professionals Use Instead of P/E
Why enterprise value to EBITDA is the preferred valuation metric on Wall Street, how to calculate it, and when it gives a clearer picture than P/E.
How to Export Your Research and Share It With Your Team
A guide to exporting stock research, portfolio data, and screening results from Alphactor for collaboration and record-keeping.
How to Paper Trade Without Fooling Yourself
How to use paper trading in Alphactor to test strategies honestly, avoid common self-deception traps, and build confidence before risking real capital.
How to Analyze a Company Before Earnings in 15 Minutes
A focused pre-earnings research checklist using Alphactor tools to prepare for earnings announcements efficiently.
How to Compare Two Stocks Side by Side (The Right Way)
A step-by-step guide to using Alphactor's comparison tools to evaluate two stocks across fundamentals, technicals, and alternative data.
How to Use AI Conviction Scores to Filter Noise
Learn what Alphactor's AI conviction scores measure, how they are calculated, and practical ways to incorporate them into your investment process.
How to Build Your First Portfolio: A Step-by-Step Guide
A practical walkthrough of creating and managing your first portfolio in Alphactor, from adding positions to tracking performance.
How to Track Congressional Stock Trades (And Why You Should)
How to use Alphactor's congressional trade tracker to monitor stock transactions disclosed by US lawmakers and incorporate them into your research.
How to Read 13F Filings Without Falling Asleep
A plain-language guide to understanding 13F filings, what they reveal about institutional investors, and how to use Alphactor's 13F explorer to spot meaningful changes.
How to Set Up Trade Alerts That Actually Tell You What to Do
A practical guide to configuring Alphactor alerts that deliver actionable signals instead of noise you learn to ignore.
How to Screen 1,000 Stocks in Under a Minute
Learn how to use Alphactor's universe scanner to filter thousands of stocks down to a focused shortlist using quantitative criteria.
Walk-Forward Testing: The Only Backtest That Matters
Why walk-forward testing is the gold standard for strategy validation, how it works mechanically, and what the efficiency ratio tells you about real versus overfit edges.
The 7 Optimization Traps That Kill Backtested Strategies
Seven specific ways traders overfit their backtests, with examples, detection methods, and the statistical tools that separate real edges from noise.
Combining Multiple Signals Into One Strategy (Without Overfitting)
How to merge momentum, value, and quality signals into a single composite score that survives walk-forward testing, with practical rules to avoid the overfitting trap.
The Overnight Edge: Why Holding Stocks Overnight Has an Anomalous Return
Most of the S&P 500's returns over the past 30 years came from overnight sessions. A deep dive into the data, the explanations, and how to trade it systematically.
Dual Momentum: The Strategy That Beat Buy-and-Hold for 40 Years
Gary Antonacci's dual momentum strategy combines absolute and relative momentum to deliver equity-like returns with bond-like drawdowns. Here are the numbers.
Trend Following on Stocks: Why Most Retail Traders Get It Wrong
Trend following works on stocks, but not the way most retail traders implement it. A systematic breakdown of what the data shows across 20 years of backtests.
Pairs Trading for Retail Investors: Simpler Than You Think
A practical guide to pairs trading using cointegration, with a worked example on XOM/CVX and backtest results showing how market-neutral strategies reduce drawdowns.
Sector Rotation Using Momentum: A Rules-Based Approach
A systematic sector rotation strategy using relative momentum on the 11 SPDR sector ETFs, with backtest results and walk-forward validation from 2000 to 2024.
A Simple Mean Reversion Strategy That Survived Walk-Forward Testing
How a 2-period RSI mean reversion strategy on the S&P 500 held up across 15 years of walk-forward validation, and what the numbers actually look like.
Breakout Strategies: What 10 Years of Backtests Actually Show
A systematic look at breakout trading across 500 stocks over 10 years, with real numbers on win rates, expectancy, and the filters that separate signal from noise.
Your Trading Signals Have a Noise Problem (Here's How to Fix It)
Why most trading signals fire too often to be useful, and how to filter with multiple timeframes, volume confirmation, and market regime awareness.
Relative Strength (Not RSI): The Metric That Changed How I Pick Stocks
Why comparing a stock's performance against SPY, its sector, and its peers is a stronger signal than any oscillator for identifying future outperformers.
Building a Momentum Score: How I Rank Stocks by Trend Strength
Combine rate of change, relative strength, and moving average slope into a composite momentum score to screen for stocks with the strongest trends.
Mean Reversion Signals: Buying the Dip With Math, Not Hope
How to use z-score, Bollinger %B, and RSI extremes as mean reversion triggers, and why the strategy only works in specific market conditions.
Support and Resistance: Why Your Lines Are Probably in the Wrong Place
A practical guide to drawing support and resistance zones instead of precise lines, using volume to confirm levels and understanding what makes a level truly significant.
The 5 Candlestick Patterns That Actually Have Statistical Edge
Most candlestick patterns are noise. Research shows only a handful have measurable predictive power, and context matters more than the pattern itself.
Divergence Trading: The Signal That Saved My Account
How RSI divergence helped me catch a major market top, plus a practical guide to regular and hidden divergences with confirmation techniques.
Why Stacking 5 Indicators on Your Chart Is Making You Worse
Most traders use too many indicators that say the same thing. Learn how to pick 2-3 complementary indicators and reduce signal noise.
Fibonacci Retracements: Useful Tool or Self-Fulfilling Prophecy?
An honest look at Fibonacci retracements in trading — why they seem to work, when they actually help, and the 61.8% level's mixed track record.
Ichimoku Cloud: It Looks Complicated Because It Is (But Here's What Matters)
A practical breakdown of Ichimoku Cloud trading — which of the five lines actually matter and when simpler indicators do the job just as well.
VWAP: The Institutional Benchmark Retail Traders Overlook
VWAP is the price benchmark institutions use to measure execution quality. Here is why it matters for retail traders and how anchored VWAP extends it to swing trades.
ADX: How to Measure Whether a Trend Is Worth Trading
ADX measures trend strength, not direction. Here is how to use it with directional indicators to identify trending markets and avoid costly whipsaws in ranges.
On-Balance Volume: The Simplest Way to Spot Accumulation
OBV tracks whether volume flows into or out of a stock. When OBV diverges from price, someone knows something you do not.
Volume Profile: Finding Where the Real Support and Resistance Lives
Price-based support and resistance is a guess. Volume profile shows you where actual transactions occurred and where institutions have real positions to defend.
Stochastic Oscillator: When It Works and When to Ignore It
The stochastic oscillator thrives in ranging markets and fails in trends. Here is how to use ADX to know which regime you are in and when to trust the signal.
ATR for Position Sizing: The One Indicator Every Trader Should Use
How Average True Range normalizes risk across stocks, sets intelligent stop losses, and determines position size based on volatility, not gut feeling.
SMA vs EMA vs WMA: Which Moving Average Actually Matters
A practical comparison of simple, exponential, and weighted moving averages with backtested data showing when each type works and when it does not.
The Bollinger Band Squeeze: How to Trade Low Volatility Before It Explodes
Bollinger Band squeezes predict volatility expansions. Here is how to identify them, measure their intensity, and avoid the false breakouts.
MACD Beyond Crossovers: What the Histogram Actually Tells You
The MACD histogram reveals momentum shifts before the signal line cross. Here is how to read it properly and combine it with volume.
RSI: The Most Misused Indicator in Retail Trading
Why buying at RSI 30 and selling at 70 loses money, and what RSI actually tells you about momentum, divergences, and failure swings.