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Trend, volume, support, and signal design. The subset of technical analysis that has survived decades of out-of-sample testing, and the parts I still ignore.
Alphactor added 54 paper-backed alpha families across filings, healthcare, macro, alt-data, and text themes, plus FDA MAUDE ingest. Registry now 320.
Alphactor added 39 alternative-data alpha families across prediction markets, conflict events, weather, supply chains, patents, and drug safety.
AMD trending on StockTwits carries near-zero information content. Source quality and regime context matter far more than the presence of buzz.
Beyond moving averages and RSI lives a deeper layer of statistical diagnostics. Hurst exponent, autocorrelation, and seasonality tell you which strategies…
Absolute price charts hide what's tradeable. Plotting a stock as a ratio against SPY, its sector, or a peer group reveals the idiosyncratic alpha that…
Regimes change discretely, but regime models detect them in near-real-time. The Market Regime overlay annotates where the regime flipped so you can see…
A price move without a reason is just a squiggle you'll misread later. The News card annotates the chart with material headlines at their exact publication…
Off-exchange share above 45% clustered into weakness signals institutional accumulation. Dark pool prints are regulated, post-trade transparent, and measurable.
Most platform movers lists are dangerous, they rank by % change alone, surfacing illiquid small-caps on meaningless volume.
A passive watchlist wastes your time. Learn how to turn yours into a system that surfaces actionable intelligence on the stocks you care about.
Most portfolio dashboards show you everything. Here is how to filter down to the changes that actually require your attention.
How cockpit cards surface the signals, events, and changes that matter most across your watchlist and portfolio without information overload.
How to read implied volatility, put/call ratios, unusual activity, and gamma exposure to extract directional signals from the options market.
How to merge momentum, value, and quality signals into a single composite score that survives walk-forward testing, with practical rules to avoid the…
Gary Antonacci's dual momentum strategy combines absolute and relative momentum to deliver equity-like returns with bond-like drawdowns. Here are the numbers.
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.
Why most trading signals fire too often to be useful, and how to filter with multiple timeframes, volume confirmation, and market regime awareness.
Why comparing a stock's performance against SPY, its sector, and its peers is a stronger signal than any oscillator for identifying future outperformers.
Combine rate of change, relative strength, and moving average slope into a composite momentum score to screen for stocks with the strongest trends.
How to use z-score, Bollinger %B, and RSI extremes as mean reversion triggers, and why the strategy only works in specific market conditions.
A practical guide to drawing support and resistance zones instead of precise lines, using volume to confirm levels and understanding what makes a level…
Most candlestick patterns are noise. Research shows only a handful have measurable predictive power, and context matters more than the pattern itself.
Most traders use too many indicators that say the same thing. Learn how to pick 2-3 complementary indicators and reduce signal noise.
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.
A practical breakdown of Ichimoku Cloud trading: which of the five lines actually matter and when simpler indicators do the job just as well.
OBV tracks whether volume flows into or out of a stock. When OBV diverges from price, someone knows something you do not.
Price-based support and resistance is a guess. Volume profile shows you where actual transactions occurred and where institutions have real positions to defend.
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.
A practical comparison of simple, exponential, and weighted moving averages with backtested data showing when each type works and when it does not.
The MACD histogram reveals momentum shifts before the signal line cross. Here is how to read it properly and combine it with volume.
Why buying at RSI 30 and selling at 70 loses money, and what RSI actually tells you about momentum, divergences, and failure swings.