Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
1,976 documents
This strategy uses crossings between custom Aroon upper and lower series to generate long and short signals. By default, it filters trades so longs require price above both a 290-period simple moving average and a 200-period exponential moving average, while…
This long-only breakout system looks for a close above the recent high after a defined consolidation range, alongside volume above its 20-bar average. An optional OBV filter requires OBV to exceed its own moving average. A separate large-candle condition can…
The strategy combines an ATR expansion filter with a 20-bar price momentum check. It enters long when price is above its level 20 bars earlier, or short when below, provided current ATR exceeds half its 20-period average and is not below that average. The…
This indicator offers five ways to calculate a trailing stop: ATR or Supertrend distance, Chandelier levels based on recent swings, Donchian swing extremes, a standard-deviation channel, or a fixed percentage from an anchor price. Each method supplies…
The indicator presents a framework for combining three types of market signals: unusual multidimensional volatility, Hurst-based regime classification, and transfer-entropy measures of information flow between variables such as price and volume. Its guide…
This long-only strategy tracks the highest closing price seen and triggers buys when the close falls by a configurable percentage from that peak. Position size is based on a selected share of strategy equity, adjusted by a leverage input. It exits when price…
This strategy divides a price range into geometric levels and uses confirmed bar closes to detect crossings. A downward cross through an unfilled level opens a buy; an upward cross through the next level closes it, aiming to capture the spacing between…
Trend Flow is a configurable directional strategy offering entry rules based on moving-average crosses, RSI, MACD, Bollinger Bands, SuperTrend, Stochastic, Ichimoku, Chaikin Money Flow, Parabolic SAR, squeeze releases, support and resistance, Fibonacci…
This strategy looks for a long setup when a dragonfly-style doji makes a new low relative to the preceding 50 bars and the current RSI exceeds its lowest value over that lookback. The short setup mirrors this logic: a gravestone-style doji makes a new high…
This strategy combines a volatility-scaled trailing level with an EMA direction filter. On each bar, it places candidate stop levels one ATR multiple below or above the close. In an uptrend, the level ratchets upward; in a downtrend, it ratchets downward. A…
BERLIN Candles adapt Heikin-Ashi candles to keep their trend-smoothing appearance while retaining the underlying bar’s actual high and low. The indicator uses a smoothed prior close for its open and a Heikin-Ashi close for its close, constraining both to the…
This indicator builds a daily composite score intended to track market fragility. Four weighted inputs cover tail risk from the SKEW index, volatility conditions from VIX levels and term structure, credit stress from a high-yield versus investment-grade bond…
This indicator applies K-means clustering to recent bar midpoint prices, using traded volume to weight cluster centroids. For each resulting price group, it builds a separate volume profile by distributing each bar’s volume across price bins according to the…
This indicator presents a framework for estimating whether Federal Reserve policy conditions lean toward a rate cut, hold, or hike. Its stated components combine a Taylor Rule measure with employment, financial conditions, inflation expectations, growth, and…
This TradingView strategy describes a short-only approach for ARB perpetuals. It opens after a higher-timeframe RSI crosses down through its configured threshold, then can add up to two short orders at price levels above the base entry. Add sizes grow by a…
This backtest encodes a three-candle bearish reversal setup. It looks for an upward first candle, followed by a bearish candle whose body engulfs the prior body, then a third bearish candle that closes below the previous candle’s low. When the pattern is…
This indicator ranks a configurable group of assets using directional signals from RSI, CCI, SuperTrend, DMI, and Parabolic SAR. Each selected indicator contributes a binary bullish or non-bullish reading; a combined mode sums the readings and assigns a…
This strategy combines three smoothed price averages from the Williams Alligator with a longer exponential moving average. A long position opens when price is above the EMA and the Alligator lines are ordered bullishly; a short position uses the reverse…
This TradingView indicator scans price pivots from several configurable zigzag lengths to identify wedge and flag patterns. Users can choose patterns based on five or six pivots, display the underlying zigzag swings, and suppress some overlapping detections.…
This strategy measures whether the selected price is above or below its value at the start of each four-hour, daily, weekly, and monthly period. Each comparison becomes a positive, negative, or neutral vote, and the four votes are summed. A 60-bar simple…
EVEREX is an indicator framework for comparing price movement, treated as effort’s result, with volume as effort. It normalizes volume, bar spread, and price changes against lookback averages, then combines six measures of price strength: close location and…
This strategy combines two SuperTrend signals calculated on separate timeframes with a K-nearest neighbors classifier and directional filters. The KNN component uses nearby historical SuperTrend observations to classify trend direction through weighted…
This Pine Script combines an illustrative long-only moving-average pullback strategy with a reusable performance table. The example enters when price is above a long moving average but below a shorter one, then exits above the short average, on a…
This indicator explores the distribution of an input series by dividing its observed range into bins, counting the observations in each bin, and expressing those counts as shares of the sample. The resulting histogram approximates probability mass and is…