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 TradingView strategy script describes a futures trading system built around fair value gaps (FVGs), with swing points used to identify potential targets. Its inputs include a minimum distance from each FVG edge, an option requiring an opposite-color…
This strategy combines Supertrend direction with the Relative Strength Index (RSI) to qualify long and short entries. It uses a Supertrend based on a 10-period ATR and factor of 3, alongside a 14-period RSI. A bullish Supertrend direction with RSI above 50…
Momentum BF calculates momentum as the difference between the current close and its value 18 bars earlier, then measures the one-bar change in that momentum. A positive reading for both measures defines a long state; negative readings define a short state.…
This strategy uses the Ichimoku Cloud to set directional signals on a daily chart. It calculates the conversion line from 9-period highs and lows, the base line from 26-period highs and lows, and two leading spans, with the second span based on 52 periods.…
This strategy uses a fast and a slow exponential moving average to identify and follow intermediate-term trends. Its typical settings are 13 periods for the fast average and 48 for the slow average. A long position begins when the fast EMA crosses above the…
The strategy combines RSI, MACD, Stochastic, Bollinger Bands, simple and exponential moving averages, and volume to form buy and sell signals. The description says thresholds and combinations of indicator readings determine signal strength, with volume…
This countertrend setup combines a three-candle volume pattern with an RSI turning point. For a long, two falling candles are followed by a rising candle: the first has the highest volume, volume drops on the second, then rises on the third. The short…
This strategy combines Bollinger Bands with RSI to flag potential entries when price closes outside a band and RSI is at an extreme. A close below the lower band with oversold RSI triggers a buy; a close above the upper band with overbought RSI triggers a…
This intraday breakout strategy records the high and low of the Asian session, then watches for a close crossing above or below that range during the UK or US sessions. It allows only one open position at a time. For a long trade, the stop is placed at the…
This long-only trend-following strategy calculates Kaufman’s Adaptive Moving Average (KAMA) from price, adjusting its smoothing according to the ratio of directional movement to total movement. It enters when price crosses above KAMA plus a multiple of the…
This script outlines a price-action strategy that tracks recent swing highs and lows to classify direction. A close above the latest swing high or below the latest swing low updates the trend state; a reversal from bearish to bullish or bullish to bearish is…
This strategy combines several directional and momentum checks before opening a trade: Hull moving-average slope, comparison of daily prices across bars, the relative position of Ichimoku leading spans, and a MACD built from Hull averages. A long signal…
This chart strategy identifies swing highs and lows with pivot calculations using configurable left and right bar counts. It enters a long position when the close rises above the prior pivot high, then closes all positions when the close falls below the…
This strategy combines a Reversal 123 signal with a Center of Gravity channel filter and trades only when both components indicate the same direction. Reversal 123 uses a short price pattern together with smoothed stochastic values relative to a threshold to…
The document describes a trend-following system that combines a smoothed moving-average line with Chandelier-style stop calculations based on prior-bar prices and ATR. Its overview calls the average SESMA, but the included implementation uses a zero-lag…
The strategy takes long positions when MACD crosses above its signal line while price is above Parabolic SAR; it takes short positions when MACD crosses below its signal line while price is below SAR. Initial stop levels are set at a multiple of ATR from the…
This alpha model turns a security’s historical rate of change into a directional forecast. For each symbol, it calculates returns over a configurable lookback at a chosen data resolution. Positive returns generate an upward insight, negative returns generate…
This crypto futures strategy seeks to keep account value balanced between available stablecoin funds and a long position. It compares available balance with the leveraged value of the position. When either side exceeds a configurable threshold, it adjusts…
This strategy uses two moving averages with configurable lengths and types: simple, exponential, volume-weighted, or Hull. A crossover of the faster and slower averages opens a long position, while a crossunder opens a short position. The source also tracks…
This strategy approximates Renko bricks using closing prices and an ATR-based brick size. Its first series advances or retreats by one ATR when price moves beyond the current level; a second series records the prior brick level. Crossovers between these…
This teaching example describes a futures calendar spread between quarterly and weekly OKEX contracts. It subscribes to both contracts’ ticker updates over a WebSocket and tracks their price difference. A grid of spread thresholds is created from a starting…
This educational implementation of Dual Thrust trades futures breakouts using a price range calculated from recent highs, lows, and closes. It places an upper and lower trigger around the current bar’s open, with configurable range multipliers. A close above…
This strategy uses StochRSI to identify extreme momentum readings and generate long or short entries. It calculates RSI, applies a stochastic transformation, and smooths the resulting K and D lines. A cross of K above the oversold threshold triggers a long…
This Bitcoin futures strategy combines a crossover of short and longer volume-weighted moving averages with trend, price, and volume conditions. It uses an adaptive reference derived from longer lookbacks of price highs and lows, confirms directional…