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.
8,851 documents
This indicator turns Mark Minervini’s trend template into chart conditions for screening stocks. It checks whether price is above the 50-, 150-, and 200-day simple moving averages, whether those averages are properly ordered, and whether the 200-day average…
This paper-trading strategy adapts a Turtle-style channel breakout to daily Bitcoin prices. It opens a long position when the close exceeds the prior breakout lookback high and is above a simple moving average filter. An ATR-based initial stop defines a…
This daily XAUUSD strategy identifies direction by comparing the latest rolling swing high and low, then resets a volume-weighted average price whenever that structural direction changes. Long entries require bullish structure, price above an optional…
This experimental indicator creates a zigzag-like line that moves toward the upper or lower boundary of a Donchian channel. The channel uses the selected source and lookback length; the line’s direction changes when it crosses a channel boundary. Its…
The strategy combines a trend filter with channel breakouts. It defines an uptrend when the fast EMA is above the slow EMA and the slow EMA is rising over a configurable lookback; the short condition reverses those relationships. A confirmed close above the…
This strategy builds a smoothed price channel from an adjustable multi-stage EMA approximation. Its center line filters a selected price source, while the same filter applied to true range sets the upper and lower bands. Optional lag reduction adjusts inputs…
The indicator estimates the Hurst exponent from price returns using rescaled-range analysis. For each selected sample length, it divides a rolling lookback into groups, calculates each group’s cumulative-deviation range relative to its standard deviation,…
This strategy estimates a daily expected-move range from the daily open and an implied-volatility index selected for the asset class. It plots the open and intermediate and outer price bands, then combines a moving-average crossover with volume, ADX,…
This strategy combines a TTM Squeeze momentum calculation, a parabolic SAR, and an exponential moving average to generate directional entries. The visible rules require price to be on the relevant side of the EMA, a price crossover of PSAR, and the squeeze…
This strategy applies a SuperTrend calculation to Tesla’s one-minute chart. It builds upper and lower levels from the midpoint of each bar and an ATR distance, then updates those levels so they trail as price moves. The trend state changes when price crosses…
This TSLA-focused strategy seeks long swing entries when a composite momentum oscillator and smoothed money-flow measure are both positive and rising, while price is above the 50-period and 200-period EMAs. The oscillator blends RSI, Stochastic, and a…
This strategy combines ten technical signals into a weighted score: EMA trend, Supertrend, MACD, RSI, ADX and directional indicators, VWAP, Bollinger Bands, Stochastic RSI, OBV, and an ATR activity filter. Bullish conditions add their assigned weights,…
This strategy uses a Supertrend direction change as its base entry trigger, then optionally requires agreement from a configurable set of six timeframes. Each timeframe is classified as bullish or bearish by comparing its close with an EMA; user-set minimum…
This strategy builds a trend line from the midpoint of a rolling source-price range and an ATR-based offset. A signal occurs when price moves beyond the upper or lower band; users can choose crossover-style or cross-style conditions and optionally smooth the…
This strategy uses rolling highest-high and lowest-low bands to identify breakouts. A close above the prior highest-high band opens a long position; a close below the prior lowest-low band opens a short position when shorting is enabled. Positions exit when…
This strategy combines several price-based filters to qualify long and short entries. It defines market regime from the relationship between fast and slow EMA/HMA averages, scales their separation by ATR, and requires both minimum strength and persistence. A…
This trend-following strategy combines fast, medium, and slow SuperTrend signals. Traders can require all three lines to agree, accept a two-of-three majority, or use the fast and slow lines together. Long and short entries also require directional movement…
This strategy implements a Turtle-style trend-following system for long and short positions. It enters when the closing price crosses beyond the prior 55-period high or low, then exits when price crosses the opposing 20-period channel boundary. The lookback…
This TradingView strategy combines trend, momentum, volatility, price-pattern, and support/resistance signals to qualify long and short entries. Its trend checks use DEMA relationships, moving averages, Supertrend, and higher-timeframe alignment. Additional…
The listing gives a brief description of a NAS100 zone-trading approach that follows two pairs of moving averages: the 50- and 200-period averages for broader trend context, and the 10- and 20-period averages for a nearer-term trend. This suggests using…
This 30-minute swing strategy combines daily and two-hour directional filters with local entry signals. It assesses trend using moving averages, RSI, and MACD across timeframes, then scores bullish or bearish conditions from RSI, WaveTrend, CCI, ADX…
This TradingView strategy combines an ATR trailing stop crossover with several filters to time long and short entries. Long signals require price and the 50-period EMA to be above the 200-period EMA, RSI to exceed its bullish threshold, and ADX to meet a…
This swing strategy looks for continuation after an unusually large directional candle. It defines bullish or bearish displacement by comparing the candle body with a multiple of the 14-period ATR, then tracks the displacement bar's low or high. Within a…
This strategy estimates a smoothed price and velocity with a two-state Kalman filter. It measures the recent mean absolute deviation of closing price from the estimate, then places adaptive bands around the filtered price. A close crossing above the upper…