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 strategy seeks potential turning points by counting sustained price moves relative to closes several bars earlier. It uses separate bullish and bearish counts and displays signals at three thresholds: 9, 12, and 14. The strategy enters in the direction…
This short-term strategy uses a 20-period simple moving average and bands set two standard deviations above and below it. It goes long when the close crosses upward through the lower band and goes short when the close crosses downward through the upper band,…
This strategy identifies short-term price moves that exceed a configurable percentage threshold over a lookback interval, then trades against the move: an unusually large rise triggers a short, while an unusually large fall triggers a long. The description…
The visible portion describes a configurable strategy framework combining impulse, compression, breakout, and retest setups with trend pullbacks and liquidity sweeps. Users can choose breakout entry or wait for a retest, allow long or short trades, and set a…
This script outlines a strategy built around bullish and bearish fair value gaps. It detects a gap when the current candle’s low is above the high from two candles earlier, or when its high is below the low from two candles earlier. A same-direction candle…
This short-term strategy builds price bands around an EMA using ATR distances multiplied by configurable Fibonacci ratios. It offers several upper and lower thresholds, with entry conditions selected by choosing which prior-bar band the closing price must…
This strategy description combines an EMA50 direction filter with candle patterns and a retest condition. Long setups require price above the average, a bullish engulfing or pin-bar pattern, and a retest from below; short setups mirror these conditions below…
This trend-following strategy compares two adaptive averages: MAMA and its smoother companion, FAMA. The MAMA smoothing factor changes with the estimated phase difference, bounded by user-selected fast and slow limits; FAMA applies a further low-pass…
This Pine strategy buys when price breaks above the upper Donchian Channel and exits by trailing a stop along the lower channel. The upper and lower lookback periods can be set independently, allowing breakout and exit sensitivity to differ. Traders can…
The strategy combines stochastic readings from the current chart period and a smoothed series intended to represent a three-times-longer period. It opens long when the higher-period K value crosses above the midpoint while current K is above D and the…
This strategy smooths log prices with a Nadaraya–Watson kernel regression and surrounds the estimate with volatility bands derived from ATR. The bands use near and far multipliers, while configurable regression and ATR settings control their behavior. The…
This strategy combines a fast and slow EMA crossover with directional movement signals. It enters long when the short EMA crosses above the long EMA and the DMI conditions favor buyers; it enters short when the EMA crossover and DMI conditions favor sellers.…
This strategy uses crossovers between a short and long exponential moving average to signal direction, then checks RSI and MACD alignment before entering. It also describes an initial stop and a profit target, with a trailing stop intended to protect gains…
This cryptocurrency trend-following strategy uses a Variable Index Dynamic Average (VIDYA), whose smoothing responds to a Chande Momentum Oscillator (CMO) derived from recent price changes. The strategy goes long when VIDYA rises and closes the long position…
This strategy combines two Hull moving average constructions with a volume-weighted moving average, MACD, and the True Strength Index (TSI). The Hull lines provide the main directional signals. The other indicators act as conditions: price and Hull values…
This strategy combines Ichimoku calculations with Bollinger Bands. Its trading signals come from price crossing the 52-period Ichimoku Span B: an upward cross opens a long position, and a downward cross opens a short position. The position closes when the…
This strategy uses 9-period and 21-period exponential moving average crossovers to enter long and short trades, closing on an opposite crossover. It calculates stop and target prices from the entry price, with a stated default stop distance of 0.5% and a…
This document describes a calendar-based cryptocurrency strategy that buys on the fifth day and sells on the twenty-sixth day of each lunar month. It derives lunar dates from year-specific New Year dates and monthly lengths, then uses those dates to trigger…
This strategy combines two MACD histograms to align shorter-term entries with a longer-term trend. It describes long entries when the short-term histogram is positive and the longer-term histogram turns positive, with the inverse conditions for short…
This document presents a trend-following method that pairs fast and slow simple moving averages with a MOST indicator. A fast-average crossover above the slow average is described as a buy signal, and a downward crossover as a sell signal. The written…
This document describes a trend-following strategy built around John Ehlers’ three-pole Butterworth low-pass filter. A recursive calculation smooths price data and produces a trigger line from the prior filter value. The strategy enters long when the filter…
This calendar-based strategy attempts to buy gold at the start of Friday’s session and close the position later in the session. It includes configurable start and end dates for backtesting, along with commission, slippage, order-processing, and position-size…
This long-only strategy calculates support and resistance from the lowest low and highest high over a chosen lookback, then derives upper and lower channel boundaries using a percentage width. The described entry occurs when price is within one percent of…
This strategy combines a moving-average trend filter with a breadth-style participation proxy and ATR-based exits. It treats the fast EMA being above the slow EMA as a bullish trend, and below it as bearish. The proxy is the rolling average of a binary…