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 a 14-period EMA and a 100-period EMA to identify possible trend changes. It enters long when the faster average crosses above the slower one and closes the long position when the faster average crosses below it. The described…
This intraday strategy enters long when one EMA crosses above another and short when it crosses below. The document lists periods of 110 and 40 for the inputs named fast and slow, respectively; those labels and values are unusual because the longer period…
The Fusion strategy combines a short-term 123 reversal signal with high and low levels drawn from a selected timeframe. The reversal component uses recent closing-price comparisons and Stochastic values around a threshold to set direction. The breakout…
This strategy combines SuperTrend, QQE, and Trend Indicator A-V2 to seek aligned signals. SuperTrend supplies a directional trend state; QQE uses a smoothed RSI and adaptive bands to classify overbought or oversold conditions; A-V2 compares price and open…
This Dual Thrust variant creates breakout thresholds around the current period’s open using a range derived from prior highs, lows, and closes. One algorithm uses a single lookback window; another calculates separate buy and sell ranges from two windows.…
This strategy uses Bollinger Bands to trade price breakouts. The middle band is a simple moving average, and the outer bands offset it by a multiple of the price standard deviation. A close crossing above the upper band opens a long position; a close…
This strategy combines price breakouts from regression-based trendlines with an RSI momentum filter. It calculates upper and lower lines from recent highs and lows over a configurable lookback. A close above the upper line generates a long signal when RSI is…
This trend strategy uses two exponential moving averages to choose a long or short bias, then uses adaptive Bollinger-style bands to time entries. The document describes a 200-period and 30-period EMA comparison for trend direction, with a configurable SMA…
This dual-factor strategy combines a short-term reversal signal with a prime number oscillator intended to indicate directional bias. The reversal component uses recent closing-price changes and fast and slow stochastic readings to generate long or short…
This strategy trades opening gaps by measuring the percentage difference between the current open and the previous close. A configurable threshold filters out small gaps, while a selectable mode determines whether to go long or short on an upward or downward…
This strategy uses pivots identified on a higher timeframe to set breakout-style entry conditions, then attaches percentage-based take-profit and stop-loss levels. A detected pivot high or low establishes a reference price; the strategy places a stop entry…
This strategy combines a 123 price reversal signal with prime number bands and trades only when both components point in the same direction. The reversal component compares recent closes and checks the relationship between fast and slow stochastic lines; the…
This strategy assigns different jobs to three time horizons: a longer interval sets trend context with a simple moving average, a medium interval gauges momentum with stochastic K and D lines, and a shorter interval times entries with a moving-average…
This strategy smooths a relative strength index with an exponential moving average and uses crossings of the conventional 30 and 70 levels to trigger long or short positions. An average true range value, scaled by a configurable multiplier, sets stop and…
This strategy combines pivot points with an ATR-based trailing channel to generate trend-following entries and exits. The described approach uses pivot levels as support and resistance context, while the channel supplies a volatility-adjusted boundary: enter…
This document outlines a short-only Bitcoin strategy that combines a volume-weighted MACD variant, a Hull moving average filter, and fast and slow triple exponential moving averages. It enters short when the MACD histogram is below zero, price is below the…
This strategy provides a selectable trend-following rule built around a library of moving averages and regression-style indicators. The trader chooses one indicator and a lookback length; the strategy compares its current value with the prior bar. It opens a…
This document describes a long-only strategy that uses the Relative Strength Index to identify potential entry periods. It calculates RSI from average upward and downward price changes, using a 14-period setting and treating readings below 40 as oversold.…
This strategy uses SuperTrend direction changes to reverse between long and short positions. It calculates open profit in dollars using the instrument’s point value, then converts dollar risk and profit thresholds into price distances. An initial stop is set…
This medium- to long-term strategy uses RSI to identify upward momentum in stocks and SuperTrend, derived from ATR and price, as a dynamic exit level. The stated entry condition is RSI above 60, alongside price being above the SuperTrend line in the supplied…
This long-only system builds upper and lower price levels around an initial reference price using a 10% box. It places a limit buy at the upper boundary after price reaches it, subject to a moving-average filter, and uses the lower boundary as a stop. The…
This short-only strategy is intended for five-minute E-mini S&P futures charts. It identifies a bullish fair value gap when the first candle’s high is below the third candle’s low, then requires the third candle to close below its open. A trade is allowed…
This strategy combines 20-period Bollinger Bands, using a standard deviation multiplier of 2, with a 14-period RSI. It enters long when price crosses back above the lower band while RSI is below 30, and short when price crosses back below the upper band…
This BTC futures strategy seeks long entries when volume exceeds 2.5 times its 70-period average while a 20-period RSI is at or below 30. It aims to capture rebounds in sideways markets, using five profit targets from 0.4% to 1.2% and staged exits that close…