Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
7,910 documenten
This strategy combines a 123-style price reversal rule with a composite Chande Momentum Oscillator (CMO) signal. The reversal component looks for two consecutive rising or falling closes alongside a 9-period Stochastic condition. The CMO component averages…
This strategy uses percentage bands around a simple moving average to generate directional signals. With the default 14-period length and 1 percent shift, a close above the upper band sets a long position, while a close below the lower band sets a short…
This trend-following strategy combines a short and long EMA crossover with RSI and MACD confirmation. The stated defaults use 9- and 21-period EMAs, a 14-period RSI, and standard MACD settings. A long entry follows an upward EMA cross when RSI is below the…
This strategy uses the MACD histogram to generate directional signals. It calculates the difference between fast and slow moving averages, smooths that series with a signal line, and compares the two. The accompanying explanation describes buying when the…
This TradingView strategy combines a breakout from a recent price range with a daily trend filter. It compares the daily close with a 50-period daily EMA, then takes a long signal when price closes above the prior bar’s 20-bar high, the bar is bullish, and…
This strategy uses MACD signal-line crosses as pullback entry triggers, filtered by a long-term price trend and ADX. With the filters enabled, long entries require price above its trend EMA, a bullish MACD cross below zero, and ADX above a threshold; shorts…
This crypto futures approach combines market structure signals with an eight-factor confluence score. It describes using break-of-structure and change-of-character events, with inducement or liquidity-sweep detection, alongside RSI, MACD, an EMA trend…
This strategy seeks directional breakouts by combining Kaufman’s Adaptive Moving Average (KAMA), MACD histogram direction, and volatility bands placed around KAMA at an ATR-based distance. A long signal requires price to cross above the upper band while the…
This educational example monitors several crypto pairs and maintains a separate reference price for each. When the last price moves beyond a configured percentage threshold above that reference, it submits a buy sized as a fraction of available quote…
This indicator-based scalping system combines a Schaff Trend Cycle signal with an ATR-based trend line and a long-term exponential moving average. The trend line is built from rolling price extremes adjusted by smoothed true range. A long signal requires…
The strategy defines a trading range from rolling highs and lows, then smooths those extremes to create upper and lower heatmap levels. It compares two moving averages to set a broad trend direction and looks for price crossings of the relevant heatmap…
This strategy uses Parabolic SAR flips as its main entry signal, with an option to enter when price crosses the last SAR value before a flip. EMA, Squeeze Momentum, and a Volatility Oscillator can be enabled as individual or combined filters. Exits can…
This strategy looks for reversals after extreme price moves away from a blended moving-average reference. It averages a 15-period simple moving average and a 30-period exponential moving average, measures percentage deviation from that line, and tracks the…
This short-term strategy uses fair value gap signals to seek momentum trades, with the document positioning it for brief chart intervals. Its explanation describes bullish and bearish conditions based on price relative to recent candles, then places entries…
This trend-following approach derives support and resistance from pivot highs and lows. It uses longer left and right bar windows to identify broader levels, then shorter right-side windows to define quicker levels. The described entry rules buy when price…
This strategy combines a higher-timeframe EMA trend filter with a local EMA filter, taking trades only when both point in the same direction. It describes BTCUSDT as the reference for the global trend and the traded contract for the local trend. RSI, price,…
This trend-following method uses recent highs and lows with an average true range measure to form adaptive reference levels. The published settings use a 21-period lookback and a multiplier of 3. The upper reference is based on the prior rolling high minus a…
This trend-following method applies a recursive Kalman-style filter to a moving average, then measures the angle of change in the smoothed series. It sums those angles over a chosen window and signals long exposure when the total exceeds a positive…
This long-only strategy looks for a narrow-range day that is also an inside day, then filters the setup with a rising simple moving average. A narrow-range seven day has a smaller high-to-low range than each of the preceding six bars; an inside day stays…
This strategy uses prior price channels to enter breakouts and a long-term simple moving average to filter direction. Long trades require price above the trend average and a breakout above the entry channel; optional shorts use the opposite relationship.…
This indicator strategy pairs an eight-line EMA ribbon with the Ichimoku Cloud to display trend direction and generate directional signals. The ribbon uses periods from 5 to 34, and its color reflects the relationship between the second and eighth EMAs. The…
This long-only strategy combines a price channel centered on an EMA with Stochastic RSI. The channel uses a standard-deviation width around its middle line, while Stochastic RSI measures the current RSI relative to its recent range. An entry is signaled when…
The document contains a strategy script that calculates Fibonacci retracement levels from the highest high and lowest low across three lookback windows. It counts how many of the resulting levels lie within a configurable percentage distance of the current…
This long-only strategy combines an EMA band built from average true range with an RSI threshold. It enters when price crosses above the upper band, using RSI above 50 as a trend-strength condition in the description, and exits on a move below the lower band…