This strategy looks for divergence between price swings and the MACD histogram. It identifies local histogram peaks and troughs, then compares them with price extremes: a higher price high paired with a weaker histogram peak signals bearish divergence, while…
คลังความรู้
สรุปและแนวคิดสำคัญจากหนังสือ งานวิจัย บทความ และโค้ดที่เอเจนต์ AI ของเราอ่าน โดยเขียนโดยเอเจนต์วิจัยของ Stratmill แต่ละหน้ามีลิงก์ไปยังต้นฉบับ
ค้นหาในคลังข้อมูล
เอกสาร 7,910 รายการ
This utility mirrors position changes from a reference futures account to one or more follower accounts on the same exchange. It periodically compares the reference account’s long and short quantities with previously observed quantities, then sends…
This script combines a Keltner channel breakout strategy with position sizing based on a Kelly-style fraction. Channel bands are built around a selectable simple or exponential moving average, using average true range, true range, or the high-low range.…
This long-only trend strategy combines the slope of a simple moving average with the current price’s position relative to that average. It enters when the slope exceeds a minimum threshold and price is above the SMA. A trailing stop is intended to exit…
This indicator builds a smoothed Heikin-Ashi trend line from exponential moving averages of open and close prices. It compares the smoothed values to define direction: the trend is bullish when smoothed close is at least as high as smoothed open, and bearish…
This strategy calculates rate of change (ROC) from closing prices, then applies the relative strength index (RSI) to the ROC series. It uses configurable buy and sell thresholds to classify conditions as oversold or overbought. The position logic takes the…
This strategy computes rate of change (ROC) from a smoothed Heikin Ashi close series, then compares ROC with upper and lower thresholds derived from recent extremes and percentiles. Crossing above the lower threshold opens a long position and crossing below…
This strategy uses a fast and a slow moving average to generate directional signals. A fast-line cross above the slow line opens a long position, while a cross below opens a short position. Users can select average types, input sources, periods, and optional…
This short-term strategy uses crossovers between a 5-period EMA and a 13-period EMA to switch between long and short positions. On a bullish crossover it enters long, placing a stop at 1% below the signal-bar close and a trailing stop set to 2% of the close…
This strategy combines RSI thresholds, crossings of a rolling 125-period high, and a volume surge filter. The stated RSI defaults are 14 periods, with oversold and overbought levels of 30 and 70. A long or short entry can be triggered by an RSI threshold…
This MACD variant lets traders select among 11 moving-average types for its fast line, slow line, and trigger line. The default lengths are 12 and 26 for the price averages and 9 for the trigger. It computes the difference between the fast and slow averages,…
This system combines two independently enabled EMA-based trading chains. The slower chain uses a weekly EMA crossover for entries and a daily EMA crossover in the opposite direction to close positions. The faster chain enters on a 12-hour crossover and exits…
This strategy uses price relative to VWAP and a 200-period EMA to set direction. It enters long when price is above both measures and short when below both, requiring the conditions to persist across three bars. The published settings specify separate fixed…
The strategy defines a Binomial Moving Average (BMA) using normalized weights derived from half of a row of binomial coefficients, with greater weight on more recent prices. It compares a fast BMA with a slow BMA: a fast-line crossover above the slow line…
This indicator calculates a MACD line from fast and slow exponential moving averages, then forms Bollinger-style upper and lower bands around the MACD using its recent standard deviation and average. The strategy takes a long position when MACD rises above…
This system combines a smoothed Tillson T3 moving average, a Twin Optimized Trend Tracker (TOTT), and Williams %R. Its described long condition is T3 above the upper TOTT band with Williams %R above -20; the exit condition is a separate sell-side T3 below…
This strategy seeks short-term mean reversion after price moves unusually far from a short exponential moving average. It measures the stretch in ATR units and requires a run of consecutive lower closes for a long setup or higher closes for a short setup. A…
This strategy uses MACD signals to enter trend-following positions and ATR-based levels to set stop-loss and take-profit exits. It calculates the fast and slow moving averages, MACD line, signal line, and histogram, then offers five signal choices:…
The document presents a cryptocurrency trading approach that compares the current close with recent price extremes. It describes a buy signal when price falls below a threshold relative to the highest close over the prior ten bars, and a sell signal when…
This strategy looks for potential long entries using Bollinger Band position and width measures, together with a recent price-low condition. It checks whether price has formed a local low, whether band width exceeds a threshold, and whether the Bollinger…
This system uses a fast 9-period exponential moving average and a slower 20-period EMA to generate directional signals. An upward crossover marks a bullish signal and a downward crossover a bearish one. The source calculates crossover events and plots…
This short-only strategy enters when price crosses below a 45-period simple moving average. It exits after a fixed holding interval, then allows another short after a fresh downward cross and a waiting interval. The stated method is intended to capture…
This strategy combines a 21-period Keltner Channel, pivot-based support and resistance, and moving averages to identify breakout entries. The channel uses an exponential moving average and ATR for its boundaries, while pivot levels rely on bars on both sides…
This ZEC strategy combines a higher-timeframe market-structure filter with Donchian channel breakouts. It seeks entries in the direction of the larger trend, then adds units as price moves favorably by ATR-based increments. ATR also sets a stop distance, and…