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 daily futures strategy calculates Qstick as the moving average of the difference between each bar's close and open. A move from negative to positive Qstick prompts a long entry when price is above its simple moving average; a move from positive to…
This strategy combines RSI thresholds with bullish or bearish engulfing-style candles to seek reversals. A long signal requires RSI to be at or below its oversold threshold currently or on the previous bar, alongside a bullish candle that closes above the…
This strategy estimates buying and selling pressure by splitting each candle’s volume into bullish and bearish portions. It assigns all volume to buyers when the close exceeds the open; for a down candle, it estimates the bullish share from the open’s…
This primarily long strategy combines volume, momentum, and trend measures to seek entries when several conditions align. It requires OBV to exceed its moving average, positive net volume, RSI above a threshold, and MFI below a threshold. A short-term EMA is…
This strategy combines EMA trend direction, candlestick shapes, rolling support and resistance, and risk-based sizing. It defines trend using the relative positions of the 20- and 90-period EMAs. In an uptrend, a bullish candle with a sufficiently long lower…
This proposed long-only method combines three indicators to identify pullbacks: price must close below the lower Bollinger Band, the stochastic K line must be below 20 and above its D line, and RSI must be below 30. For an exit, the document describes…
This indicator varies the lookback length of a Hull moving average according to either a volume measure or a volatility comparison. When the selected condition is active, the lookback contracts; otherwise, it expands within user-set bounds. A slope…
This strategy combines a fast RSI with a slower RSI to filter entries. Its stated rules use a 5-period RSI and a 14-period RSI: the fast RSI crossing above 70 with the slow RSI above 50 triggers a long, while a fast RSI crossing below 30 with the slow RSI…
This strategy description proposes buying when an 11-period RSI falls below 20, with a 290-period EMA intended to filter for longer-term trend conditions. It describes a 1.4% stop loss, a 3.5% profit target, and an RSI exit above 79. It also proposes adding…
The strategy combines recent bar extremes with a 200-period simple moving average to define long entries and exits. Its description uses the lowest low and highest high over seven bars, with the moving average intended to filter trades by trend. However, the…
This long-only dip-buying approach uses a 14-period RSI and a 100-period simple moving average. It enters when RSI falls below 35 while price is below the moving average, then closes the position when RSI rises above 65. The RSI thresholds seek to identify…
This strategy uses an RB SSL channel derived from moving averages of highs and lows to switch between long and short positions. The listed periods are both 13. The source code updates a directional state according to whether the close is above the high…
The available excerpt describes an intraday strategy configured for a one-hour session beginning at 2 a.m. Eastern time. It allows weekday selection and includes fast and slow exponential moving averages, RSI thresholds, and an option to favor short…
This composite system combines a 123-style reversal signal with a recursive moving trend average. The reversal component uses consecutive price changes alongside stochastic oscillator conditions; the trend component recursively updates an estimated price and…
This strategy describes entries around a smoothed moving average and volatility channel, with RSI and EMA conditions intended to filter signals. The narrative specifies a 60-period weighted moving average construction and bands based on true range; it says…
This document provides a simple Freqtrade strategy intended to compare backtest behavior across platforms. It calculates 14-period and 28-period simple moving averages on hourly data, marks a long entry whenever the fast average is above the slow average,…
This trend-following strategy uses the 9-period and 20-period exponential moving averages to generate directional signals. It also describes using price crossing the 9-period EMA as an additional, faster signal. A trailing stop is intended to follow…
This intraday system combines a fast and slow exponential moving average crossover with RSI as a momentum filter. It enters long when the fast EMA crosses above the slow EMA while RSI is above 50, and short when the reverse crossover coincides with RSI below…
This strategy pairs an Ichimoku Tenkan line as a trend reference with MACD crossovers as reversal signals. The stated rule sells when MACD crosses down while price is classified as above the Tenkan line, and buys on an upward cross when price is below it. It…
This intraday approach combines Supertrend direction changes with MACD histogram momentum to trade long or short. It describes opening positions when the indicators align, switching direction as signals change, and closing all positions at a set time each…
This combined strategy requires agreement between a 123 reversal system and a price filter described as empirical mode decomposition. The reversal component uses two consecutive higher or lower closes alongside a comparison between fast and slow stochastic…
This strategy uses two exponential moving averages to generate trend-following entries. It enters long when the faster average crosses above the slower one and short when it crosses below. The document describes the EMA’s recursive weighting, in which the…
This strategy pairs the KDJ oscillator with a moving average to produce directional entries. It calculates K and D from the stochastic relative value, then derives J as three times K minus twice D. A short entry is specified when J reaches or exceeds the…
This system combines fast, medium, and slow moving averages with an RSI filter and optional higher-timeframe moving-average confirmation. Entries can be configured as retests into a moving-average zone or breakouts out of it, with direction checked against…