Resumos e ideias principais, escritos pelo agente de investigação da Stratmill, dos livros, artigos científicos, artigos e código consultados pelos nossos agentes de IA. Cada página inclui uma ligação para o original.
7,910 documentos
This Pine Script strategy combines a moving-average trend filter, a volume condition, fair value gap patterns, and swing break signals. Long setups require price above the selected simple and exponential moving averages, a bullish break of a recent swing…
This document describes a configurable futures strategy for one trade in a selected contract and direction. The trader can specify quantity, entry cost, and take-profit or stop-loss prices, or use price differences from the cost to set those levels. The…
This US equity strategy builds an equal-weighted portfolio through successive screens. It starts with liquid NYSE stocks while excluding financial companies, ADRs, and REITs; selects firms with low enterprise-value-to-EBIT ratios; then favors stronger…
This strategy description pairs trend signals with defined-risk options spreads. It uses a 20/50 EMA crossover to set direction, requires ADX above 15, checks RSI above 45 for bullish setups or below 55 for bearish setups, and confirms price is on the…
The Ruda strategy combines a short and long exponential moving average with On-Balance Volume and candle-body size to find long entries. The described setup uses EMA lengths of 5 and 21, an OBV high over 10 days, and a candle body exceeding half the candle’s…
This strategy takes the absolute value of a normalized Chande Momentum Oscillator calculation to gauge momentum magnitude on a bounded scale. With a stated default length of nine, it enters short when the indicator rises above 70 and long when it falls below…
This document describes a long-only trend-following approach using crossovers between fast and slow moving averages. It offers SMA, EMA, or WMA calculations, with default lengths of 21 and 34. A fast average crossing above the slow average opens a long…
The script builds rolling high and low levels using a sensitivity input, then marks those levels active after price breaches prior extrema. An ATR-based trailing trend calculation supplies a directional state, while RSI checks whether an overbought or…
This crypto strategy uses recent pivot highs and lows as reference levels for reversal trades. Its description calls for a breakout beyond a pivot by a meaningful distance, plus a 150-bar closing-price filter, before entering a long or short position. It…
This breakout approach combines fast and slow exponential moving average crossovers with Fibonacci retracement levels and longer-term moving averages. The document defines the Golden Pocket using the 61.8% and 65% retracement levels, and describes using a…
This trend-following strategy enters long or short when the Supertrend indicator changes direction. It sets stop-loss and take-profit distances using the current ATR multiplied by separate user inputs, and the document describes sizing each trade at a fixed…
This reversal strategy detects pivot highs and pivot lows using configurable left- and right-bar lookback settings. When a pivot high is confirmed, it places a stop order for a long entry just above that pivot; after a pivot low, it places a stop order for a…
This strategy identifies bullish and bearish displacement candles by comparing each candle’s body with its wicks, while excluding candles whose bodies are small relative to their full range. It forms zones from the two most recent displacement candle highs…
This strategy measures the percentage difference between closing price and a double exponential moving average. It generates a long entry when that difference crosses above a configurable lower threshold and a short entry when it crosses below an upper…
This framework example uses the NIFTY 50 index as a signal series and a related India-listed ETF as the tradable instrument. It calculates two exponential moving averages on the index, waits for indicator readiness and minute data for both symbols, then buys…
This short-only strategy applies RSI to the Ultimate Oscillator and combines the resulting signal with a bearish trend filter. It computes the Ultimate Oscillator from buying pressure and true range over three lookback periods, then calculates a short RSI of…
This strategy combines fast and slow trend measures with price channels. The document describes a fast five-period average for signals and a slower 21-period measure for broader direction, alongside channels based on recent highs and lows. Channel behavior…
This trend-following method builds a moving-average line, with ZLEMA as the default, and places trailing stop levels at an ATR-based distance. It uses CMO-derived movement in the adaptive average calculation and describes three signal families: crossings…
This long-only Bitcoin strategy combines two entry styles on an hourly chart: a mean-reversion signal when a 10-period RSI falls below 30, and a momentum signal when price rises above the previous seven-period high. RSI entries exit when RSI exceeds 50 or…
This strategy uses SuperTrend bands derived from a price source and ATR to identify changes in trend. A shift from a falling to a rising trend generates a long signal; the reverse shift generates a short signal. The description says ATR can be calculated…
This trend-following strategy uses a fast and a slow exponential moving average to generate directional entries: a cross above signals a long, while a cross below signals a short. The stated periods are 21 and 55. Average True Range sets the distance for…
This example shows how to connect a QuantConnect algorithm to CrunchDAO and submit portfolio targets on a weekly schedule. It reads a remote security skeleton to build a changing universe, tracks additions and removals, filters for securities with positive…
This example explains how data consolidators transform incoming trade or quote data into bars of a chosen duration or count, then publish each completed bar through an event handler. It demonstrates registering consolidators directly and using convenience…
This strategy opens long positions when RSI crosses above its oversold threshold while price is below a moving average. After the initial entry, it places additional buys at progressively lower price levels to average down. It can also add a fixed amount…