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 uses Bollinger Bands, built from a moving-average basis and a standard-deviation envelope, to set price-triggered entries and exits. It enters long when the close falls below the lower band and short when the close rises above the upper band.…
This strategy combines a short-period RSI with four EMAs to generate long and short signals. It identifies an uptrend when the 20-, 50-, 100-, and 200-period EMAs are ordered from fastest to slowest, and a downtrend when their order is reversed. Entry…
This breakout strategy uses a 55-period simple moving average as the Bollinger Band center and places the upper and lower bands one standard deviation from it. A close above the upper band produces a long signal, while a close below the lower band produces a…
This trend-following strategy uses a fast and slow simple moving average crossover to signal possible changes in direction. A bullish crossover is accepted when RSI is below its overbought threshold, while a bearish crossover requires RSI to be above its…
This BTC futures strategy combines a moving average, Bollinger Bands, and a percentage deviation threshold. It tracks when price has moved sufficiently far from the average, then resets that state once price returns inside the bands. Its stated entry rules…
The document describes a Fish Net trend strategy built around a price “center of gravity” indicator. Its calculation weights recent price data more heavily than older observations, then smooths and transforms the result. The modified approach uses threshold…
This document describes a threshold strategy built around the change in closing price from a selected number of bars earlier. The change can be displayed as a raw price difference or a percentage, and a histogram colors bars to show direction. When the…
The TAM strategy uses separate pairs of RSI calculations for entering and closing long positions. A buy signal occurs when either the fast or slower entry RSI crosses above 50, provided both entry RSIs are above that threshold. A close signal occurs when…
This short-term long strategy uses a five-period RSI to seek rebounds after weakness. The stated entry is an RSI rise above 60, with the source code further requiring the prior RSI reading to be below 50. A position is closed when RSI falls below its value…
This strategy combines Heikin Ashi prices with ATR-based SuperTrend bands and additional trend and pullback conditions. Long entries require a bullish Heikin Ashi candle, a pullback interaction with a moving average, a move above the SuperTrend level, and…
This document explains a breakout strategy based on price ranges, drawing on Nicolas Darvas’s box theory. A box is defined by a recent upper resistance level and lower support level. A close above the upper boundary is treated as a possible move into a…
This strategy combines a short-period RSI, the change in RSI, and a price rate-of-change measure into a composite signal. The description says to average the three components, enter long when the composite crosses above 40, and exit when it crosses below 70.…
This strategy combines Ichimoku levels, MACD, a stochastic oscillator, and a moving average to identify directional entries. A long signal requires the stochastic K line to cross above 20 while MACD is positive and price is above the moving average and both…
This strategy enters long when a fast simple moving average crosses above a slower one. After entry, it sets a take-profit threshold relative to the entry price and closes a configured portion of the position when price reaches it; the example setting is…
This strategy trades a basket of Binance USDT perpetual contracts against BTC. It tracks each coin’s price relative to BTC and compares that ratio with a baseline that is updated using an exponential moving average. The mean of the basket’s relative changes…
This document presents a crossover strategy that uses very short moving averages to identify changes in direction and a much longer weighted moving average as a filter. The written description specifies a 2-day and 3-day crossover, filtered by a 420-day…
The document outlines a two-sided strategy combining Williams-style high and low fractals, three exponential moving averages, and RSI. It describes using EMA lengths of 20, 50, and 100 to frame price movement, with fractal turning points and RSI extremes…
This strategy uses an EMA20 and EMA50 crossover to signal a change in direction. It sets four take-profit levels from the signal candle’s high-low range, using progressively larger multiples, and describes a fixed 3% stop. Chart background colors indicate…
This document describes a trend-following system that tracks whether the close has broken the previous candle’s high or low. A change in that state creates a bullish or bearish reversal signal. An optional EMA200 filter allows long entries above the average…
This long-only strategy uses a long-term EMA as a trend filter and places a limit buy order at a shorter EMA when price is above that filter. Its stated design aims to enter on pullbacks while trading in the direction of the broader trend. The accompanying…
This Bitcoin strategy combines Relative Vigor Index crossovers with a dual-EMA trend filter. A crossover above the RVI signal line can trigger a long when price and the faster EMA indicate an uptrend; a crossover below can trigger a short when price and the…
This strategy pairs RSI threshold signals with an ADX filter and optional swing-based exits. Its description proposes buying when RSI is oversold and selling when it is overbought, provided ADX indicates a strong trend. The source code differs: it creates…
This strategy combines as many as five separately configured RSI series. Each has its own period and threshold. When an enabled RSI falls below its threshold, the strategy can enter long; it records the highest-period active trigger as the signal strength…
This strategy calculates relative strength as the current close divided by the highest high over a lookback, then applies MACD to that series. A positive MACD histogram opens a long position; a negative histogram closes it. The described approach focuses on…