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 strategy combines trend, price action, volume, and volatility measures to generate tiered long and short signals. It uses short and long EMAs with an ADX filter for trend direction, candle patterns and fair value gaps for price action, and volume…
This trend-following method uses three moving averages calculated on progressively higher timeframes. A crossover between the first two provides an entry signal, while the direction of the third average acts as confirmation. Dynamic smoothing is described as…
This event-driven example uses a simple moving average to identify possible directional changes. It loads recent closing prices into a rolling buffer, updates that buffer on each bar, and compares the latest close with the average. A cross is checked against…
This trend-following method uses fast, medium, and slow simple moving averages, with default periods of 8, 21, and 55. A fast-average crossover above the medium average opens a long when both are above the slow average; the reverse alignment and crossover…
This strategy combines the Stochastic Momentum Index (SMI) and a fast RSI to generate long and short signals. It enters long when SMI is below its negative threshold or RSI is below its oversold level, with a bearish candle; short entries use the…
This strategy combines a smoothed Stochastic oscillator with high and low simple moving averages. It describes a long signal when Stochastic crosses upward through a risk-mode threshold while price is below the low SMA, and a short signal when it crosses…
This strategy combines three technical signals: fast and slow EMA crossovers for trend changes, RSI thresholds for overbought or oversold conditions, and MACD line crossovers. Its signal logic can require any enabled indicator to trigger or require all…
This example describes a monthly U.S. stock strategy that uses a machine-learning model to rank stocks by their predicted likelihood of outperforming the cross-sectional median. Its input features are past closing-price returns measured over several lookback…
This trend-following approach places stop entries just beyond the previous Donchian channel boundaries, calculated from the highest high and lowest low over a lookback period. The published setting uses 60 bars. A breakout above the upper boundary triggers a…
This document describes a robot that receives TradingView strategy alerts and routes orders to supported cryptocurrency futures accounts. A strategy alert carries the market symbol, leverage, price, contract quantity, and an order-action code for opening or…
This document describes a trend-following strategy that compares the latest value of a 120-period moving average with its prior value. When the ratio rises above a small threshold, the system buys if its stock balance is at or below the exchange minimum.…
This is a long-only dollar-cost-averaging strategy for an ATOM perpetual market. A 14-period RSI on a four-hour timeframe arms the initial entry when it falls below 28. If price declines from the base entry, five safety orders can be placed at fixed…
This strategy opens a long position, then adds up to 14 more orders as price falls in successive 1.1% steps from the latest grid level. Each added order grows by a 1.2 multiplier from a $100 base order. When a position is open, the script sets a take-profit…
This strategy combines MACD momentum with a pair of volume-weighted moving averages for directional entries. It uses the standard 12, 26, and 9 MACD settings and compares 20-period and 50-period VWMAs. A positive MACD histogram alongside the faster VWMA…
This framework combines trend, momentum, volatility, and volume measures to form long and short signals. EMA alignment and the Ichimoku cloud set directional context, while RSI, MACD histogram, and Stochastic RSI conditions further screen entries. The stated…
This strategy trades price breakouts from a rolling high and low channel, while its description frames the approach in terms of Bollinger Bands. The code uses the highest high and lowest low over a configurable lookback, entering long above the upper bound…
This event-driven stock strategy calculates the highest high and lowest low across a configurable number of recent daily bars for each symbol loaded from a CSV file. It subscribes to tick data and compares each new price with those stored levels. A move…
This excerpt describes a crypto trading system that combines adaptive moving-average and Laguerre filters with a Hurst-style measure, volatility compression, and a hidden Markov model regime detector. It also maps Asian, London, and New York sessions to…
This multi-part strategy uses a fast and slow weighted moving average crossover to establish direction, then applies an inverse Fisher transform of the Commodity Channel Index as a momentum filter. The stated thresholds require stronger positive momentum for…
This strategy combines Supertrend direction, RSI thresholds, and a one-bar volume comparison to time entries. A long requires the stated Supertrend direction, RSI below its oversold threshold, a bullish candle, and volume above the prior bar. A short uses…
This document describes a trend-following system that enters long when a fast simple moving average crosses above a slower one and short when it crosses below. The example uses 9- and 21-period averages. It sizes positions using starting capital plus…
This long-only trend strategy looks for unusually large bullish bars, then filters them through price and moving-average conditions. Its volume-spike measure is actually based on bar range: it compares the current high-low range with a trimmed average over…
The visible portion describes a multi-indicator strategy built around a stack of short- and long-period moving averages, including a very long EMA, plus RSI. It also defines a volume regime filter by comparing a short volume average with a longer one,…
This crypto strategy uses a short-term RSI rise as its entry trigger. It opens a position when the six-period RSI rises by more than one point while the prior reading is at or below 65. It exits when RSI reaches 60, or when price falls to a stop set one ATR…