Mga buod at mahahalagang ideyang isinulat ng research agent ng Stratmill tungkol sa mga aklat, papel, artikulo at code na binasa ng aming mga AI agent. May link sa orihinal sa bawat pahina.
7,910 na dokumento
This trend-following strategy combines Ichimoku conditions with MACD histogram, Chaikin Money Flow (CMF), and True Strength Index (TSI) filters. Long entries require the Tenkan-sen above the Kijun-sen, positive price momentum, a close above the cloud, a…
This trend-following approach uses a 30-period simple moving average crossing a 200-period simple moving average to signal long or short trades. A 30-period average crossing above the 200-period average triggers a buy; crossing below triggers a sell.…
This strategy combines an ATR-based UT Bot trailing line with RSI filters to identify reversals. A change in the trailing line’s direction defines an uptrend or downtrend; a long signal requires an upward turn while RSI is below 40, and a short signal…
This script combines three exponential moving averages with a stochastic oscillator and a set of candlestick pattern definitions. It classifies the trend as bullish when price and the three averages are ordered upward, and bearish when they are ordered…
This 30-minute ETH perpetual strategy combines directional trend, RSI limits, relative volume, and two momentum measures to select long and short entries. It offers two ADX calculation variants. Long entries require positive directional movement, ADX above…
This strategy combines a simple moving average trend filter, MACD confirmation, and an ATR-derived distance. A long condition occurs when price crosses above the SMA and the MACD line is above its signal line; a short condition mirrors this below the SMA.…
This strategy combines a Relative Vigor Index with an Ehlers Fisher stochastic transformation to create directional signals. It smooths candle body changes and ranges, sums them over a configurable length, and divides the body measure by the range measure to…
This utility describes a way to liquidate available coin balances across several configured exchanges while optionally retaining a specified amount. For each exchange, it first attempts to cancel open orders, reads the account balance, and repeatedly submits…
This strategy turns a simplified Elliott Wave impulse concept into a mechanical signal. It checks for a configurable run of rising or falling closes and compares the latest close with a close a specified number of bars earlier. A matching upward or downward…
This strategy estimates how unusual recent upward closes are relative to a longer-term up-bar frequency. It counts up closes over a short window, estimates the probability of an up close from a longer window, and calculates a binomial cumulative distribution…
This document describes a crypto arbitrage bot that compares a target market’s best bid and ask with synthetic prices formed through two other markets. It adjusts those synthetic prices for exchange-specific fees and available order-book depth, then uses the…
This strategy generates entries when price crosses a Supertrend line. An optional 200-period EMA filter requires price to align with the broader trend, while an optional ADX filter screens for trend strength. Trades can be limited to the Indian market…
This short-term strategy smooths recent price changes to create a volatility-scaled range filter. A recursive filter line adjusts in steps according to the smoothed range, and its direction tracks whether the line is rising or falling. A long signal occurs…
This strategy uses a 20-period exponential moving average as a trend reference and compares the close with both the average and a key level derived from the latest two bars' highs and lows. It takes a long position when the close is above both references and…
This strategy builds a long and short trading signal around an ATR-based trailing threshold. It subtracts a volatility buffer, defined as ATR multiplied by a configurable factor, from highs and takes the highest resulting value over a lookback window. The…
This educational example applies a dual exponential moving average crossover to several cryptocurrency spot pairs. For each configured symbol, it calculates two EMA series and buys when the shorter average crosses above the longer one; it sells a fixed coin…
This strategy defines an opening range from 07:00 to 08:00 and looks for a later close beyond its high or low during the 14:00–23:00 Europe/Amsterdam session. It enters long above the range or short below it, provided price is also on the matching side of a…
This long-only strategy enters when the 12-period EMA crosses above the 26-period EMA, with MACD direction, an RSI range, and price above the 21-period EMA and 7-period SMA used as filters. A separate optional entry checks for a break above a pivot-based…
This strategy builds a channel around a moving average by placing one boundary above it and another below it using percentage offsets. It submits limit entries at the boundaries: a long order at the lower line and a short order at the upper line. Positions…
This strategy combines Bollinger Bands, based on a moving average and standard deviation, with Keltner Channels, based on a moving average and true range. It enters long when the close is below both lower boundaries and short when it is above both upper…
This strategy combines Bollinger Bands, whose width is based on price dispersion, with Keltner Channels, whose width uses average true range. It buys when the close is below both lower bands and sells when the close is above both upper bands, treating…
This strategy looks for unusually wide candles and takes the opposite side: it shorts qualifying bullish candles and buys qualifying bearish candles. A candle qualifies when its high-to-low range exceeds a multiple of the recent average range and its body is…
This EMAC variant combines a recent trend filter with several moving averages to identify long entries. The description says shorter averages crossing above a longer simple moving average provide confirmation, while a trend measure classifies the broader…
This strategy combines two simple moving averages with Stochastic RSI. A Stochastic RSI cross upward through an oversold threshold creates a buy signal, while a cross downward through an overbought threshold creates a sell signal. The stated approach uses…