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.
4,172 documents
This strategy uses a higher-timeframe candle pattern to establish directional bias, then maps a swing on a lower timeframe and looks for an entry when price retraces to its 50% level. The documented model places a stop beyond the swing’s starting point and…
This trend-following method assigns separate long and short scores using five components: trend direction, RSI momentum, directional efficiency, the ATR volatility regime, and volume participation. Each contributes up to 20 points. Trades open only when a…
This strategy seeks to re-enter an established trend after a countertrend pullback. It defines the trend using the relationship between fast and slow EMAs and the slow EMA’s slope. A short-period RSI detects a pullback, and a price close beyond the previous…
This strategy combines ATR and RSI to select trades and manage exits. It treats ATR above its moving average as a high-volatility condition, then uses RSI thresholds to determine long or short direction. In the supplied parameters, an RSI entry offset is…
This trend strategy uses a Hull Moving Average (HMA) as its main entry indicator. The document describes long entries when price breaks above the HMA and short entries when it breaks below, with optional baseline and confirmation indicators intended to…
This long-only daily stock strategy looks for pullbacks within an established uptrend. It defines the bullish regime as the 50-period EMA above the 200-period EMA, with price above the faster average. After RSI has recently entered a pullback zone, it waits…
The narrative describes a trend-following method that enters long or short when price closes beyond a 20-day extreme, then filters entries unless price movement reaches a stated five-ATR threshold. It describes stops based on a two-N ATR distance from recent…
This strategy combines a WaveTrend oscillator with a ribbon of eight exponential moving averages. Long entries follow either a crossover of the second and eighth EMAs or a faster bullish EMA crossover unless a bearish combined signal is present. Short…
This trend-following method combines a fast and a slow moving average, with example periods of 10 and 30. It classifies each average by whether it is rising or falling compared with the previous bar. When both point upward, the strategy adopts a long bias;…
The visible portion describes a configurable strategy framework combining impulse, compression, breakout, and retest setups with trend pullbacks and liquidity sweeps. Users can choose breakout entry or wait for a retest, allow long or short trades, and set a…
This strategy description combines an EMA50 direction filter with candle patterns and a retest condition. Long setups require price above the average, a bullish engulfing or pin-bar pattern, and a retest from below; short setups mirror these conditions below…
This trend-following strategy compares two adaptive averages: MAMA and its smoother companion, FAMA. The MAMA smoothing factor changes with the estimated phase difference, bounded by user-selected fast and slow limits; FAMA applies a further low-pass…
This Pine strategy buys when price breaks above the upper Donchian Channel and exits by trailing a stop along the lower channel. The upper and lower lookback periods can be set independently, allowing breakout and exit sensitivity to differ. Traders can…
The strategy combines stochastic readings from the current chart period and a smoothed series intended to represent a three-times-longer period. It opens long when the higher-period K value crosses above the midpoint while current K is above D and the…
This strategy combines a fast and slow EMA crossover with directional movement signals. It enters long when the short EMA crosses above the long EMA and the DMI conditions favor buyers; it enters short when the EMA crossover and DMI conditions favor sellers.…
This strategy uses crossovers between a short and long exponential moving average to signal direction, then checks RSI and MACD alignment before entering. It also describes an initial stop and a profit target, with a trailing stop intended to protect gains…
This cryptocurrency trend-following strategy uses a Variable Index Dynamic Average (VIDYA), whose smoothing responds to a Chande Momentum Oscillator (CMO) derived from recent price changes. The strategy goes long when VIDYA rises and closes the long position…
This strategy combines two Hull moving average constructions with a volume-weighted moving average, MACD, and the True Strength Index (TSI). The Hull lines provide the main directional signals. The other indicators act as conditions: price and Hull values…
This strategy combines Ichimoku calculations with Bollinger Bands. Its trading signals come from price crossing the 52-period Ichimoku Span B: an upward cross opens a long position, and a downward cross opens a short position. The position closes when the…
This strategy uses 9-period and 21-period exponential moving average crossovers to enter long and short trades, closing on an opposite crossover. It calculates stop and target prices from the entry price, with a stated default stop distance of 0.5% and a…
This strategy combines two MACD histograms to align shorter-term entries with a longer-term trend. It describes long entries when the short-term histogram is positive and the longer-term histogram turns positive, with the inverse conditions for short…
This document presents a trend-following method that pairs fast and slow simple moving averages with a MOST indicator. A fast-average crossover above the slow average is described as a buy signal, and a downward crossover as a sell signal. The written…
This document describes a trend-following strategy built around John Ehlers’ three-pole Butterworth low-pass filter. A recursive calculation smooths price data and produces a trigger line from the prior filter value. The strategy enters long when the filter…
This strategy combines a moving-average trend filter with a breadth-style participation proxy and ATR-based exits. It treats the fast EMA being above the slow EMA as a bullish trend, and below it as bearish. The proxy is the rolling average of a binary…