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.
4,613 documents
This cryptocurrency-oriented trend strategy calculates fast, medium, and slow simple moving averages, with stated default lengths of 7, 30, and 50. Its actual entry and exit rules use the fast and medium averages: crossing upward opens a long position, and…
WJ Strategy A builds a mean-reversion entry score from three signals: price below the lower Bollinger Band, price below one of three long moving averages, and a low RSI reading. The components contribute different weights, with the RSI component receiving…
This daily strategy seeks long entries when RSI(5) falls below 30 while price remains above its 200-day simple moving average. The trend filter is intended to focus oversold entries on rebounds within an upward market. For protection, the description…
This dollar-cost averaging approach proposes buying a fixed dollar amount when price falls below the lower Bollinger Band and RSI is below 50. Moving averages are described as a trend check intended to limit buying during persistent declines. The document…
This Bitcoin strategy uses a selected technical signal to open an initial long position, then adds to the position as price falls by a configured percentage. The script allows a starting position size, a martingale multiplier, and a take profit percentage;…
This strategy enters long when the closing price crosses above a simple moving average. At entry, it records the lowest price over a specified lookback, then raises a stop according to that baseline plus a decrement multiplied by the number of bars in the…
This long-only strategy treats consecutive candles sharing a low as a possible retest setup, then waits for price to move above that shared low before preparing an entry. It places four limit orders at staggered prices derived from a recent volatility…
This strategy combines moving-average direction, RSI, ADX, OBV, candlestick patterns, volume, and a trading-session filter to seek entries during stronger trends. The described framework uses 50- and 200-period EMAs for the broad trend, an ADX threshold of…
This cryptocurrency trading script polls configured markets and submits orders when prices enter user-defined buy or sell ranges. It uses the ask price to check the buy range and the bid price to check the sell range, then places orders at the opposite side…
This long-only dollar-cost-averaging framework uses a lower-timeframe RSI filter for both initial entries and additional buys. A base order is triggered when RSI crosses below 30; each safety order requires RSI below 25. The design allows four averaging…
This strategy identifies higher lows and lower highs, then assigns each confirmed pattern a score using volume, RSI, candle-body size, and moving-average alignment. Trades are restricted to signals scoring at least four points. Stops are set at the lowest…
This overview describes a Turtle-style trend-following system built around Donchian channel breakouts. A move above the channel's recent high triggers an initial long position, while a move below its recent low triggers a short. The system estimates…
This trend-following approach combines the relative order of three exponential moving averages with RSI zones to filter long and short entries. It describes two entry patterns: a move back across a shorter EMA and a direct break through a longer EMA. A much…
This strategy uses Wave Trend crossovers to time entries and exits, while VWMA bands determine position size. Wave Trend is built from an EMA-smoothed price deviation and a second smoothed line; crossing above that line signals a long entry, while crossing…
This Python example implements a staged buy intended to spread a target purchase across multiple smaller limit orders. It records the starting account balance and holdings, then repeatedly places a buy below the current bid by a configurable percentage. Each…
This strategy combines Bollinger Band breakouts with market structure shift signals and an optional higher-timeframe trend filter. It uses a 55-period band with a 2.0 standard deviation multiplier. A close above the upper band can trigger a long, while a…
This script defines a directional strategy using crossovers between fast and slow exponential moving averages. An upward crossover opens a long position and closes a short; a downward crossover opens a short and closes a long. It includes filters that can…
This strategy trades crossovers between a fast three-period EMA and a slower eight-period EMA, taking long positions on upward crosses and short positions on downward crosses. ATR sets the initial stop distance and informs a profit target based on a stated…
This reversal method looks for a spinning-top candle after three consecutive candles of the same color, with the new candle changing direction. It defines the pattern quantitatively: the real body must be under 30% of the candle range, and the upper and…
This strategy combines a fast and slow moving average crossover with dollar cost averaging. It offers SMA, EMA, or HMA choices for the averages; an upward crossover starts a long position, followed by additional safety orders as price declines. Each safety…
This script calculates a long trade’s stop from the lowest low over a configurable lookback and sets a profit target using a chosen reward-to-risk multiple. It estimates quantity by dividing a percentage of updated capital by the distance between price and…
MomentumBreakout V1.2 combines moving-average direction with momentum checks to seek breakouts in both directions. Long entries require price to cross above the fast EMA while it is above the slow EMA, with hourly RSI and MACD confirmation and price above a…
This Bitcoin strategy layers several technical filters to seek directional entries. A modified Hull moving average provides the trend direction; two QQE-style RSI calculations and Bollinger bands on a transformed RSI series confirm momentum conditions; and a…
The visible script describes a configurable EMA-stack strategy with two operating modes: DCA/grid entries or a single entry. Its title indicates that higher-timeframe logic is part of the design, and the setup allows substantial pyramiding in the DCA mode.…