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.
8,851 documents
This strategy combines a SuperTrend direction signal with regime detection, a weighted confluence score, entry filters, and configurable position and exit controls. It estimates volatility relative to its moving average and uses ADX to classify conditions as…
This strategy uses the Choppiness Index to identify directional states and combines those conditions with optional ADX filtering for entries. It calculates the index from summed true range relative to the period’s high-low range, then smooths it. Readings at…
This strategy combines several layers to seek directional entries. A volatility-adjusted moving-average regime classifies bullish or bearish trends, while Bollinger Band width distinguishes compression from other volatility states. A displacement signal…
This strategy enters long when price makes a new high relative to either a rolling all-time-high proxy or a 52-week high calculated from weekly bars. The trader can enable either or both breakout levels. Entries are allowed only while flat, and the signal…
This Bitcoin-dollar strategy combines SuperTrend direction with a fast and slow EMA relationship. It opens a long after a bullish SuperTrend flip when the fast EMA is above the slow EMA, or after a bullish EMA crossover while SuperTrend is already bullish;…
This equity-oriented strategy combines long-term moving-average alignment with volume, money-flow, relative-strength, and broad-market regime measures. Its trend engine compares a 150-period average with a 200-period average, while volume expansion and a…
This TradingView strategy combines a broad set of bullish and bearish candlestick and chart-pattern rules with trend and momentum filters. It defines direction using the ordering of 21, 34, and 90 period exponential moving averages, and uses a short-period…
The RSS_WMA indicator applies three weighted moving average passes in sequence to create a deliberately smooth line. Its combined smoothness setting is allocated across the three passes, so increasing the setting lengthens the smoothing process. The design…
This indicator describes a configurable logarithmic moving average signal for classifying bullish, bearish, and neutral conditions. Its settings include a period and steepness for weighting recent observations, a selectable moving average for final…
This strategy combines a fast and slow exponential moving average trend filter with a three-bar fair value gap, a strong directional candle, elevated volume, and a recent high or low break. Long setups require bullish alignment and short setups require…
This strategy builds a directional strength measure from rolling percentiles of market highs and lows. It compares several lookback windows with longer-window high and low percentile reference levels, counting strong and weaker bullish or bearish conditions.…
This strategy turns an internal range bar pattern into a pending breakout entry. It identifies bars whose open and close lie within a specified portion of the candle’s range, then requires agreement from several filters: a directional EMA stack, EMA close…
This strategy combines a Supertrend line with zones adjusted by an ADX calculation, then looks for price to cross those zones while remaining within recent support or resistance bounds. Traders can enable long, short, or both directions. The script…
This strategy looks for continuation entries after a pullback in the direction of a short-term trend. Long setups require price above VWAP and a faster EMA above a slower EMA; the bar must touch or move below the faster average, then close above the prior…
This strategy combines lower-timeframe trend structure with a higher-timeframe bias filter. It defines direction using fast, slow, and trend EMAs, then looks for entries on pullbacks that reclaim the slow EMA or VWAP, or on breaks beyond recent highs or…
This strategy combines a Supertrend direction signal with RSI as a momentum filter. It opens a long when the Supertrend is bullish and RSI is above its midpoint, and opens a short when the Supertrend is bearish and RSI is below that level. The example sets…
This strategy treats Bitcoin network hashrate as a proxy for miner conditions and compares short and long moving averages of daily hashrate. In the default configuration, a 30-day average crossing above a 60-day average opens a long position, interpreted as…
This strategy uses a fast and a slow exponential moving average to define direction: a bullish cross opens a long position, and a bearish cross opens a short. The example uses 9- and 21-period averages. Each entry receives a stop at the low or high of the…
This strategy tracks external swing highs and lows to set a directional bias, then uses shorter internal pivots to identify pullback anchors. In an uptrend, it defines a retracement zone from the latest external high toward an internal low; in a downtrend,…
This indicator combines short- and longer-term swing structure with Fibonacci retracement levels. Users can choose source data or highs and lows, set separate lengths for the two trend views, and select which detected swing points anchor each line. The…
This strategy combines a Triple Exponential Moving Average (TEMA) with a MACD-style filter to generate long and short signals. TEMA is calculated from three successive exponential averages of closing prices. The filter subtracts a slower EMA from a faster…
This strategy calculates Supertrend bands from Heikin Ashi highs, lows, closes, and ATR. Its direction state changes when the Heikin Ashi close crosses the prior band, providing bullish or bearish trend signals. The document describes default settings…
This strategy combines swing-structure breaks with a recent fair value gap (FVG) and a moving-average trend filter. A bullish signal requires price to cross above the latest pivot high, a bullish gap to have appeared within the configured lookback, and price…
This strategy builds a trailing trend indicator from confirmed pivot highs and lows. Each newly detected pivot updates a weighted center line, and ATR-based bands around that center determine a bullish or bearish state as price crosses the trailing levels.…