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.
9,797 documents
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 strategy combines Keltner Channel levels with CCI and RSI conditions, a volume test, and an optional moving-average trend filter. A long setup requires price to reach below the lower channel alongside oversold readings from CCI and RSI; a short setup…
This strategy smooths an RSI series with local polynomial regression and uses the fitted curve’s first derivative, called Delta-RSI, as a momentum signal. Traders can enter when Delta-RSI crosses zero, crosses its EMA signal line, or changes direction. Long…
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;…
This strategy seeks potential turning points by counting sustained price moves relative to closes several bars earlier. It uses separate bullish and bearish counts and displays signals at three thresholds: 9, 12, and 14. The strategy enters in the direction…
This short-term strategy uses a 20-period simple moving average and bands set two standard deviations above and below it. It goes long when the close crosses upward through the lower band and goes short when the close crosses downward through the upper band,…
This short-term strategy builds price bands around an EMA using ATR distances multiplied by configurable Fibonacci ratios. It offers several upper and lower thresholds, with entry conditions selected by choosing which prior-bar band the closing price must…
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…
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 smooths log prices with a Nadaraya–Watson kernel regression and surrounds the estimate with volatility bands derived from ATR. The bands use near and far multipliers, while configurable regression and ATR settings control their behavior. 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 document describes a calendar-based cryptocurrency strategy that buys on the fifth day and sells on the twenty-sixth day of each lunar month. It derives lunar dates from year-specific New Year dates and monthly lengths, then uses those dates to trigger…
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 long-only strategy calculates support and resistance from the lowest low and highest high over a chosen lookback, then derives upper and lower channel boundaries using a percentage width. The described entry occurs when price is within one percent of…
This strategy combines a long-period simple moving average with a short-period RSI to generate short entries. The stated rule opens a short when RSI crosses above its entry threshold while price is below the SMA. It closes the position if RSI reaches a…
This strategy looks for four-candle fair value gap reversals, using a 50-period EMA to filter trade direction. A setup combines an initial gap, a liquidity sweep and retracement, then a confirming candle that reverses the gap. The document describes longs…
This strategy combines Fibonacci levels calculated from the recent price range with an EMA trend filter. It measures the highest high and lowest low over the previous 10 bars, derives five retracement levels, and compares 20-period and 50-period EMAs to…
This strategy combines Parabolic SAR, a Stochastic Oscillator, and a higher-timeframe price comparison to generate long or short entries. It requires all three components to agree: the Stochastic K value must be below 20 for a long or above 80 for a short,…