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 trend-following setup combines Supertrend direction on a shorter and a longer timeframe with StochRSI extremes. The stated defaults use 1-hour and 4-hour Supertrends. The strategy looks for both to agree on direction, then checks whether a StochRSI…
This Lean example demonstrates how to implement a custom simple moving average as a Python indicator and connect it to built-in indicators through extension helpers. The custom indicator maintains a fixed-length queue of recent input values, updates its…
The strategy compares calculated trends across several timeframes, from 15 minutes through daily, using a collection of smoothed averages and oscillators. It describes a signal when the shorter timeframe reverses while longer timeframes have not, with trend…
This strategy uses three simple moving averages to generate directional trades: a crossover between short and long averages supplies the signal, while a third average filters trades according to the broader trend. It includes percentage based stop-loss and…
This BTC futures strategy uses a T3 moving average as a broad trend filter, a price-range breakout signal, and a momentum confirmation. A long signal occurs when price crosses above a threshold based on the recent high and average high-low range, TDFI is…
This document sketches a periodic stock-selection and execution process focused on the five smallest companies by market capitalization in the CSI 300 universe. On the first incoming market bar, the strategy selects the target basket and compares it with…
This BTC futures strategy combines fast and slow VWAP based trend lines with a breakout and volume confirmation. It builds the trend lines from VWAP calculations and rolling high-low midpoints, then derives Bollinger Bands from the average of the fast and…
This long-only strategy combines short-term RSI mean reversion with a 200-period simple moving average trend mode. When price is below the average, RSI below 20 can trigger a countertrend entry, sized with a configurable mean-reversion factor. When price is…
This strategy description combines Hull moving averages, RSI, the Chande Momentum Oscillator, recent price highs and lows, and ATR-based bands. The narrative presents RSI and CMO thresholds as momentum confirmation and describes trend changes when price…
The traffic-light strategy uses three shorter exponential moving averages to assess directional alignment, plus a longer-period EMA as a market filter. The stated defaults are 8, 14, and 16 periods for the fast, medium, and slow lines, with a 100-period…
This short-term strategy compares three moving averages intended to reduce lag. Its stated setup uses fast, medium, and slow lines with periods of 12, 26, and 55. Entries depend on a crossover between the fast and slow lines, conditioned on the fast line's…
This strategy uses an Alpha Trend indicator to generate directional signals. A crossover of the indicator with its value from two bars earlier triggers a long or short entry. The published description relates the indicator to trend direction and describes…
This strategy combines five-wave Elliott pattern rules with a 200-day simple moving average filter. It looks for rising highs across the first, third, and fifth waves and specified higher corrective lows to identify a bullish pattern; the bearish rules…
This document describes a mean-reversion approach that uses RSI extremes to enter long and short positions. It treats RSI below 30 as oversold and above 70 as overbought, buying in the lower zone and selling short in the upper zone. The accompanying source…
This strategy combines the Stochastic Slow oscillator with RSI to seek reversal entries when both indicators show an extreme reading. It uses a 14-period lookback for each, smooths Stochastic %K and %D with 3-period settings, and sets overbought and oversold…
This strategy uses a fast and a slow weighted moving average, with the fast period set to half the slow period, to frame directional signals. It also derives a momentum measure from the difference between the averages and compares smoothed values across…
This simple long-only approach measures percentage price change over a selected lookback period and buys when the decline exceeds a chosen threshold. After entry, it sets stop-loss and take-profit levels relative to the average entry price. The document also…
This script derives a central pivot and Fibonacci-scaled support and resistance levels from daily high, low, and close values. It looks for rejection moves at selected levels: longs when price recovers above support, and shorts when price falls back below…
This strategy combines 2-, 7-, and 14-period RSI readings to identify unusually oversold or overbought conditions. It enters long when all three readings fall below their respective thresholds and short when all rise above theirs. An accuracy setting adjusts…
This example demonstrates how an options strategy helper can package orders for a naked put position. It sorts the available option contracts first by closeness of strike to the underlying price and then by expiry, with the expiry sort applied last; it…
This document describes a Python helper for retrieving futures candlestick data from HeXun’s third-party service. The function accepts an instrument, bar interval, requested history size, and options for including the latest bar or returning a DataFrame. It…
This intraday trend-following strategy combines the MACD histogram, a long-period exponential moving average, and Williams Alligator lines. It takes long positions when the histogram is positive, price is above the Alligator lips and long-period average, and…
The script builds a charting and strategy framework around multiple simple and exponential moving averages. Its configurable periods include Fibonacci-like values as well as other lengths, ranging from short averages to very long ones. Users can toggle SMA…
This document describes a simple moving-average strategy that compares a selected price series with an SMA. A move above the average signals a long position, while a move below signals a short position. Trading is limited to a configurable session, and…