Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
7,910 documenten
This document outlines a rules-based strategy that combines a fast and slow EMA crossover with RSI, MACD, Bollinger Bands, and VWAP. RSI, MACD, and the difference between price and VWAP contribute to a weighted score; the score must agree with the EMA…
This document describes a trend-following system using four exponential moving averages. A short-period EMA crossing above either of two intermediate EMAs can trigger a long entry when it is also above the longest EMA; the inverse conditions trigger a short…
This document explains a trend-following approach based on Kaufman’s Adaptive Moving Average (KAMA). The indicator adjusts its smoothing in relation to directional price change versus accumulated price movement: it responds more slowly when movement is noisy…
This document describes an intraday breakout system that builds support and resistance trendlines from price pivots, then enters when price crosses a line and satisfies a confirmation condition. It restricts entries to the morning session in New York time,…
This strategy uses an RSI oscillator with configurable overbought and oversold levels and a sensitivity adjustment around those thresholds. It opens long positions on specified RSI crossings and closes them on crossings at the opposite boundary. The document…
The BBSR strategy looks for reversals by pairing Bollinger Band re-entry with extreme Stochastic RSI readings. A long setup occurs after price moves back above the lower band while both smoothed Stochastic RSI lines were below the oversold threshold; a short…
This strategy combines RSI, MACD, and EMA conditions to trigger trades. RSI values below 30 contribute a buy condition and values above 70 contribute a sell condition; MACD line direction and the relationship between 20-period and 50-period EMAs provide…
This script excerpt outlines a composite z-score trading strategy built from momentum, RSI, and volume factors. Inputs specify separate lookbacks and weights for those factors, a z-score lookback, and optional smoothing that adapts using ATR and its…
This document introduces a KAMA-based trading script with configurable trade direction and three trade behaviors: holding through neutral conditions, exiting when the trend state turns neutral, or scaling position size adaptively. Its state scheme classifies…
This trend-following method combines MACD momentum, stochastic crossovers, and a moving-average price relationship to generate long and short entries. It allows an entry when two of the three components produce a fresh crossover while the remaining component…
This strategy uses Kaufman Adaptive Moving Average (KAMA) direction and stop-line crossings to generate long and short entries. KAMA adjusts its smoothing in response to the ratio of price movement to volatility. After entry, an ATR-derived step size moves…
This gold strategy combines multiple technical and price-action inputs in a confluence score, with entries gated by a minimum score that varies by stated performance mode. Its factors include moving-average alignment, RSI, MACD, Bollinger Bands, volume,…
This document describes a dual-engine trading strategy that combines EMA-MACD momentum signals with a BuySell oscillator and mean-reversion logic. It offers selectable ways to combine signals, including requiring agreement, accepting either signal, or using…
This strategy pairs a 123 reversal signal with the Directional Trend Index (DTI) to seek price turns that align with a broader directional reading. The reversal component looks for two consecutive closes in one direction alongside stochastic conditions; the…
This long-only trend strategy uses daily 20-, 30-, and 200-period EMAs with RSI confirmation. It enters when the 20-period EMA crosses above the 30-period EMA, price is above the 200-period EMA, and RSI exceeds 50. The described exits are a profit target 50%…
The Vegas trend wave method uses 144-, 169-, and 233-period exponential moving averages to assess direction. It compares the price and shorter EMAs with the 233-period EMA using percentage differences. A long is opened when all three differences exceed their…
This short-term mean-reversion system combines Bollinger Bands, a 5-period RSI, and a 50-period volume-weighted moving average (VWMA). Strict long entries require oversold RSI and price below the lower band while remaining above VWMA; strict shorts use the…
This workflow describes a two-sided grid for crypto derivatives. It places long entries at descending price levels and short entries at ascending levels, with each position intended to close for a profit when price returns by one grid step. A minute-level…
This strategy combines fast and slow exponential moving averages with the Relative Strength Index (RSI). It enters long when the fast average crosses above the slow one and RSI is above the oversold threshold; it exits when the averages cross down or RSI…
This script combines a higher-timeframe directional filter with lower-timeframe trend and entry conditions. It classifies the higher-timeframe bias using price relative to a trend EMA and the ordering of fast, slow, and trend EMAs. On the chart timeframe, it…
This trend-following strategy enters long when the close crosses above a prior rolling high and short when it crosses below a prior rolling low. It uses ATR-based stop distances, with a fixed stop tied to the entry and a trailing stop that follows favorable…
This trend-following method builds a dynamic price filter from smoothed ranges. It calculates absolute price changes over fast and slow periods, smooths each with exponential moving averages, adjusts them with multipliers, and averages the resulting ranges.…
This script describes a multi-part trading strategy built around Fibonacci-style price levels calculated from a recent high-low range. It defines touches and breaks at selected levels and uses candle direction as confirmation for potential long or short…
This event-driven trading strategy combines an average true range (ATR) activity filter with relative strength index (RSI) entries. It calculates ATR and compares the latest value with a moving average of recent ATR readings; new trades are considered only…