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 document describes a Directional Movement Oscillator built from the difference between smoothed positive and negative directional indicators. It computes directional movement from changes in highs and lows, normalizes each side by smoothed true range,…
This strategy combines several Ichimoku signals for entries: cloud breakouts, Tenkan–Kijun crosses, cloud twists, and moves from one cloud edge toward the other. It also describes Kijun bounce entries. Exits may occur when price returns into the cloud or an…
This short-term strategy uses four exponential moving averages for long-only trading. A crossover of the 9-period EMA above the 26-period EMA triggers an entry; a separate crossover, when the 100-period EMA falls below the 55-period EMA, closes the position.…
This strategy combines a MACD crossover with the direction of a Supertrend calculation. It opens a long position only when the MACD line crosses above its signal line while Supertrend indicates an upward trend. The document describes a 20-period ATR-based…
This trend-following system enters when a fast Hull moving average crosses a slower one and a second-change measure of the fast average confirms acceleration in the same direction. It uses ATR to set stop distances and calculate position size from a chosen…
This automated strategy uses the Kronos financial time-series model to forecast a future price distribution. It compares the forecast median with the current price to decide whether the projected opportunity is large enough to trade, while the lower and…
This trend-following system combines Supertrend with a long-period double exponential moving average (DEMA). It enters long when price crosses above Supertrend while closing above DEMA, and enters short when price crosses below Supertrend while closing below…
This strategy combines trend, momentum, and volatility indicators to generate long and short signals. A short EMA above or below a long EMA sets the trend direction, MACD relative to its signal line confirms momentum, and RSI thresholds filter entries. ATR…
This trend-following design confirms direction on a one-hour chart and seeks entries on a 15-minute chart. On each timeframe, a 9-period simple moving average is compared with a 21-period average, while RSI filters signals near overbought or oversold…
This strategy combines a stochastic-based 123 reversal signal with directional movement and moving average crossovers. It takes a long or short position only when the reversal signal and the DMI-plus-MA component agree; otherwise, it closes the position. The…
This strategy uses a Hull moving average, or its exponential and triangular variants, to identify direction from the relationship between the current line and its recent value. Entries occur when that relationship crosses, subject to a user-selected trading…
This strategy combines a cumulative high-low measure, aligned moving averages, and Supertrend to generate directional entries. The high-low component tracks whether price reaches a period high or low; the moving-average component scores price and averages…
This crypto strategy combines four exponential moving averages, with periods of 8, 12, 24 and 72, to identify long entries and exits. A pullback entry is described when price crosses above the slower averages; a trend entry also requires the fastest average…
This long-only strategy enters when price is above VWAP and several momentum and trend conditions align. The entry filter includes a bullish MACD relationship with the MACD line above zero, RSI below 60, positive directional movement exceeding negative…
This strategy combines trend, momentum, and volatility indicators to identify long and short entries. It treats the 20-period and 50-period moving-average relationship as a medium-term trend filter, RSI readings below 25 or above 80 as oversold or…
This strategy combines the Vortex Indicator with a smoothed moving average to create directional entry rules. A bullish signal requires the positive Vortex line to cross above the negative line while the close is above the smoothing line; a bearish signal…
The Super Trend V approach uses a Supertrend line to represent trend direction and compares price with a smoothed measure of price and opening values to qualify entries. A close crossing the Supertrend line can signal a long when price is above the…
This daily-chart strategy combines Supertrend direction changes with price crossings of a short moving average to generate long and short signals. A 14-period RSI filter blocks longs when RSI is above its overbought threshold and shorts when it is below its…
This strategy combines seven technical signals spanning moving-average trends, CCI and ATR bands, a volatility-adaptive Gaussian average, rate of change, WaveTrend, and the Awesome Oscillator. Each enabled component casts a bullish or bearish vote. Their sum…
This document describes a trend-following strategy that compares a simple moving average with the closing price. A cross of price above the average opens a long position, while a cross below opens a short position; the reverse signal exits the opposing…
This strategy follows breakouts of the Bollinger Bands. It enters long when a candle closes above the upper band after the previous close was below it, and enters short when a close crosses below the lower band from above. The middle band, a moving average,…
This strategy combines a Supertrend level from a selectable higher timeframe with fast and slow simple moving averages. Long entries require price at or above the selected Supertrend level while the SMA-cross state is bullish; short entries use the inverse…
The article explains Kaufman’s Adaptive Moving Average (KAMA), which adjusts its responsiveness according to an efficiency ratio derived from net price direction relative to total price movement. The ratio is intended to be low in choppy markets and high in…
This simple trend strategy uses price movement from a stored reference level instead of technical indicators. When price moves beyond a configurable percentage threshold, it places a buy or sell order in the direction of that move, then resets the reference…