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.
12,303 documents
This strategy combines pivot-based fractal levels, ATR, and a simple moving average to set up adaptive grid trades. It identifies local highs and lows, then places prospective limit entries at levels offset from those pivots by ATR multiples. A volatility…
This trend-following approach builds an upper and lower price band from a simple moving average plus or minus an ATR-based range. It looks for price to cross beyond a band, then uses an exponential moving average to check whether the breakout agrees with the…
This trend-following system combines Renko charts, a UT Bot-style adaptive ATR trailing stop, EMA crossovers, and an ADX directional filter. The stop distance changes with volatility, while EMA and stop-line crossovers provide candidate long or short…
This strategy looks for breakouts by comparing Bollinger Bands with Keltner Channels and requiring above-average volume. Its stated defaults use 20-period bands and channels, with Bollinger width based on two standard deviations and Keltner width based on…
This strategy combines Bollinger Bands, Keltner Channels, and a linear regression momentum series. A squeeze is defined when the Bollinger Bands sit inside the Keltner Channel, a condition intended to indicate compressed volatility. The source offers two…
The available source describes a strategy that blends momentum-based trend detection with an adaptive ATR measure and a staged profit-taking plan. It estimates momentum relative to recent closing-price variability, combines that factor with short- and…
This document combines a Hull Moving Average (HMA) display with four exponential moving averages and Bollinger Bands. The HMA’s slope and curvature are used to color the line and mark local turning points, which can be shown as potential support and…
This strategy combines short- and medium-term exponential moving averages with RSI and ATR to generate entries and manage exits. The described signals use a crossing of price and the short EMA, confirmation beyond the prior bar's high or low, an RSI filter,…
This trend-following strategy uses a 10-period and a 50-period EMA to establish direction. In an uptrend, it looks for a pullback where the close is below the fast EMA but the low remains above the slow EMA; a long signal follows when the next bar opens…
This indicator and trading script uses a 21-period ATR multiplied by 6.3 to set a trailing stop that follows price direction. Its position state changes when price crosses the prior trailing-stop level: a move above it produces a long state, while a move…
This short-term pullback strategy combines ATR-based price levels with volatility and RSI filters. It describes calculating a 10-period ATR and using a grid factor of 0.2 to generate 15 levels. Long signals require price below the first level, sufficient…
This document outlines a band-based trading method that compares price with an EMA-centered volatility envelope. A close above the upper band creates a long signal, while a close below the lower band creates a short signal; the written description adds RSI…
This script builds a Donchian channel from rolling highs and lows, then describes sloped support and resistance lines that update when those extremes are renewed. The upper and lower slopes are intended to serve as resistance and support, with candle closes…
This strategy combines a two-bar reversal pattern with STARC Bands, which place ATR-based boundaries around a short-term moving average. The reversal component uses recent closes and stochastic fast and slow readings to form directional signals. The STARC…
This document presents the opening portion of a strategy script organized around signals across very short to longer chart intervals. It calculates exponential averages of highs and lows on five-second, fifteen-second, one-minute, five-minute, and…
This strategy pairs seven-period price extremes with a Trendflex measure and Bollinger-style bands. Its description says to go long on a break below a recent low and short on a break above a recent high, then filter those signals using trend strength and…
This indicator pairs an adaptive Jurik Moving Average (JMA) with upper and lower bands spaced by a multiple of average true range (ATR). Its rationale is that an asset reaching an extreme may react in the opposite direction, regardless of the prevailing…
This strategy adapts a squeeze-momentum indicator to trade volatility breakouts. It identifies a squeeze when Bollinger Bands fall inside Keltner Channels, then waits for the squeeze to release and uses the direction of a linear-regression momentum measure…
This strategy combines RSI, MACD histogram direction, above-average volume, and a 50-period simple moving average to form long and short entry conditions. Long signals require RSI above the oversold threshold, positive MACD histogram, elevated volume, and…
This framework combines trend, momentum, volume, volatility, and candle-pattern inputs to classify the market into ten named states. It describes indicators including EMA, MACD, RSI, ATR, and volume averages, then assigns different weights to signals…
This strategy combines four technical filters to define long and short setups. It uses fast and slow EMA relationships to establish direction, Bollinger %B thresholds to require price near the upper or lower band, the Awesome Oscillator to confirm momentum,…
This long-only system combines SuperTrend direction, an RSI filter, and a simple moving average to select entries. It buys when SuperTrend is bullish, RSI is below 65, and price is above the 50-period average. The stated exit is a bearish SuperTrend turn,…
The BabyShark strategy seeks reversals when price moves far from a volume-weighted average price (VWAP) and a volume-derived RSI reaches an extreme. It calculates VWAP over 60 candles and defines outer bands using three average deviations. A long setup…
The document presents a long-signal concept that combines a TTM-style volatility squeeze, a linear-regression momentum histogram, and 9- and 21-period EMAs. It looks for a squeeze state followed by two bars outside the squeeze, positive and rising momentum,…