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 calculates Bollinger Bands from a simple moving average and standard deviation, with a default lookback of 20 and multiplier of 2. It enters long when the close is above the upper band and short when the close is below the lower band; users can…
This rules-based strategy counts consecutive rises or falls in closing prices. Separate thresholds govern long entries, long exits, short entries, and short exits, allowing the trader to adjust how quickly positions open and close. The supplied defaults call…
This strategy combines three volatility stops, set at 5, 10, and 15 ATR multiples, with an ATR-scaled Renko-style signal. The described long entry requires price to be above the three stops in their specified order and an upward Renko change. A long position…
The Global Equities Momentum approach allocates among U.S. stocks, international stocks, and U.S. aggregate bonds. Each month, it compares the trailing 12-month performance of the two equity markets and selects the stronger one, provided U.S. stocks have…
This document describes a short-term strategy that compares a six-period RMA with a four-period HMA. Their crossovers supply directional signals, while a separate long-term trend check filters entries. The script also plots volume-weighted bar colors and…
This document combines an SSL Channel trend state with Stochastic RSI thresholds to generate long and short entries. The channel uses moving averages of highs and lows; a change in its state marks a directional signal. The published defaults use a 200-period…
This strategy uses two exponential moving averages as faster signals and simple moving averages as slower references. The description gives example periods of 8 and 21 for the EMAs and 50 and 200 for the SMAs. A fast-line crossover can prompt a long or short…
This strategy combines a fast and slow exponential moving average signal with a Bull Power measure derived from recent price bars. It opens a long position when the EMA method indicates an upward state and Bull Power is positive; it opens short when both…
This long-only strategy compares the current price change with the historical distribution of price changes using a Z-score, then checks whether price is outside a Bollinger Band. It opens a long position when the Z-score is below a lower threshold and price…
This strategy uses the difference between fast and slow exponential moving averages as the MACD, then compares it with a moving average signal line. The stated settings are 12 periods for the fast average, 26 for the slow average, and 9 for the signal line.…
This trend-following strategy uses three simple moving averages with progressively longer periods to identify directional alignment. It enters long when the fast average is above the middle average and the middle is above the slow average, and enters short…
This long-only trend system combines hourly Awesome Oscillator, MACD and RSI conditions with daily moving-average structure. Buy conditions include several AO patterns, with different branches requiring positive momentum, MACD-related filters, RSI…
This strategy uses a fast and a slow simple moving average to generate directional signals. A cross of the fast average above the slow average opens a long position, while a cross below closes longs and can open shorts. Three operating modes are described:…
This strategy identifies potential market structure changes when closing price breaks a previously confirmed swing high or low. Pivot points use bars on both sides, so the swing is only recognized after the right-side bars have formed. An optional ATR…
This example shows how a backtest can replace default transaction assumptions with custom fee, slippage, fill, and buying-power models. Its sample algorithm trades SPY hourly during October 2013, changing its target exposure after specified calendar days.…
The document presents a trend strategy that combines RSI and MACD conditions for directional entries, with Stochastics described as a filter for overbought or oversold readings. It specifies a long signal when RSI is above 52 with a MACD bullish cross, and a…
This document describes a market-making system for Binance USDC perpetual futures. Its numerical core analyzes recent trade flow and price profiles alongside estimated buy- and sell-side market impact. The signal combines directional flow, shifts in volume…
This strategy combines RSI, CCI, and Williams %R readings to identify possible short- to medium-term reversals. It opens a long position when all three indicators are in oversold territory and a short position when all three are overbought. The stated…
This strategy combines John Ehlers’ Voss predictive filter with an instantaneous trendline to trade potential cyclical turns. It enters when the Voss output crosses its filter line, using the trendline and its lag line as a directional condition. The…
This strategy looks for disagreement between price extremes and RSI extremes as a possible sign that directional momentum is weakening. A bullish divergence occurs when price makes a lower low without RSI reaching a lower low; a bearish divergence occurs…
This strategy combines RSI thresholds with MACD line and signal line positioning to generate long and short entries. It uses a 14-period RSI with overbought and oversold levels of 80 and 20, alongside MACD settings of 12, 26, and 9. A long signal requires…
This two-sided strategy pairs a short and long exponential moving average crossover with an RSI filter. A bullish crossover opens a long position only when 14-period RSI is above 50; a bearish crossover opens a short position only when RSI is below 50. The…
This strategy combines Lazy Bear’s BlueWave momentum measure with a modified money flow index to trade directional changes. BlueWave is a linear regression calculation based on closing prices, recent highs and lows, and a closing-price average. A move above…
This long-only holding strategy uses a long-period moving average to determine when to enter and leave the market. It buys when the close is above the average and closes the position when the close falls below it. The document describes a 200-period setting…