Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
4,613 documents
This open-source strategy is organized around confirmed swing highs and lows. Its lookback setting controls how many elapsed bars are needed before a pivot is identified. The visible settings also include a selectable moving-average type and length for trend…
The strategy enters when a short EMA crosses a longer EMA and the MACD line agrees with the trade direction. It places stop-loss and take-profit levels using ATR, with the target set at twice the stop distance. Position size is calculated from the distance…
This strategy describes staged accumulation in volatile BIST stocks. It derives support and resistance levels from price crossings with Hull moving averages applied to closing prices, then compares the distance between those levels with a configurable range.…
The document presents a configurable reversal strategy that combines RSI, MACD, Williams %R, volume spikes, Bollinger Bands, and divergence checks. Its inputs set indicator thresholds and lengths, choose a trading session, and let users require divergence,…
This strategy uses fast, medium, and slow exponential moving averages to classify bullish and bearish conditions, then looks for engulfing-style candles with a minimum body-to-range ratio. The description presents trend-following and reversal entries, fixed…
This strategy builds multiple upper and lower bands around a selectable moving-average basis using standard deviation and a multiplier. Fibonacci fractions subdivide the band distances, while an optional ATR-based adjustment can vary their width. A close…
This price action strategy looks for a large bearish candle, then seeks a bullish candle whose low falls below the earlier candle’s low as a buy trigger. The described setup aims to catch a rebound after intense selling. It specifies a default candle-size…
This trend-following strategy pairs a short and a long exponential moving average crossover with Directional Movement Index readings from several intraday timeframes. A bullish crossover is intended to support long trades and a bearish crossover short…
This strategy uses Bollinger Bands to trigger entries and a moving average to close positions. It goes long when the close is above the upper band and short when the close is below the lower band. The bands are calculated from a moving average and a multiple…
This XAUUSD strategy uses RSI calculated on a selectable timeframe to open long positions below a lower threshold and short positions above an upper threshold. It permits only one open position at a time and allows long and short trades to be enabled…
This system combines short- and long-term exponential moving averages to filter entries by trend direction and strength. Crossovers between EMA 6 and EMA 14 provide directional signals; EMA 50 relative to EMA 200 defines the broader trend, while their…
This strategy description proposes following Tesla trends by comparing 20-period and 50-period exponential moving averages on daily and hourly charts. The prose calls for a long position when the shorter average is above the longer one on both timeframes,…
This automated strategy uses SuperTrend to set direction, then filters entries with volume, candle-body size relative to ATR, and RSI. Long signals require an uptrend, sufficient volume and candle strength, and RSI below its overbought threshold; short…
This short-term strategy combines reversal entries, EMA crossover breakouts, and opening range breakouts. Reversal signals use the 50-period simple moving average, RSI, VWAP, and a 200-period trend filter. Breakout signals use 9- and 20-period EMAs alongside…
This strategy combines a 20-period Donchian channel calculated from four-hour candles with ATR to set a changing price interval. It checks conditions on one-minute candles. When flat, it buys if price falls sufficiently below the channel’s middle line; while…
The visible portion of this strategy defines a reversal signal from the prior candle’s wick proportions, its total wick size relative to ATR, and a minimum candle-body size. A dominant upper wick is associated with a long signal, while a dominant lower wick…
This strategy uses the relationship between 100-period and 200-period exponential moving averages to set a directional bias. In an uptrend, it looks for price to dip below the prior low over a configurable lookback period and then close back above that level…
This document describes a periodic BTC/USDT futures strategy that adds long exposure using a fixed investment amount. The selected schedule is weekly or monthly, and the order quantity is calculated by dividing the investment amount by the current close. It…
This strategy combines RSI threshold crossovers with volume confirmation to label potential accumulation and distribution phases. A long signal occurs when RSI crosses up through its oversold level while volume exceeds its moving average; a short signal…
The SMA-3 method builds three lines from a simple moving average of closing prices: a central average and upper and lower bands offset by a percentage. The script places a long limit entry at the lower band and, when enabled, a short limit entry at the upper…
This document shows the beginning of a configurable TradingView strategy script focused on position management. Its visible settings cover dynamic sizing based on a percentage of capital or a fixed cash amount, multiple positions, three take-profit levels,…
This strategy uses a fast and slow simple moving average crossover to define long and short trend entries. After entry, price crossing back through a moving average can signal trend failure and a position exit. Risk controls include stop losses based on ATR,…
This script combines a 200-period EMA, directional indicators, and ADX to define bullish and bearish trends. It looks for confirmed pivot lows in a bullish trend to add long positions, and pivot highs in a bearish trend to add shorts. Adds are allowed only…
This BTC strategy combines WaveTrend, Connors RSI (CRSI), and linear regression deviation to identify long entries. It records when each indicator signals an oversold or upward-turn condition and permits an entry when all three signals fall within a two-bar…