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 Indian equity swing strategy adapts the Turtle trend-following approach with separate 20-day and 55-day Donchian breakout systems. It describes exits using shorter Donchian channels and adds an EMA trend filter, an RSI threshold, volume confirmation,…
The document outlines a two-sided strategy combining Williams-style high and low fractals, three exponential moving averages, and RSI. It describes using EMA lengths of 20, 50, and 100 to frame price movement, with fractal turning points and RSI extremes…
This strategy uses an EMA20 and EMA50 crossover to signal a change in direction. It sets four take-profit levels from the signal candle’s high-low range, using progressively larger multiples, and describes a fixed 3% stop. Chart background colors indicate…
This Python strategy framework is designed to trade a configurable stock universe using rolling daily closing prices. The visible code loads strategy and backtest settings, adjusts historical closes for corporate actions, and maintains per-symbol price…
This document describes a trend-following system that tracks whether the close has broken the previous candle’s high or low. A change in that state creates a bullish or bearish reversal signal. An optional EMA200 filter allows long entries above the average…
The supplied excerpt introduces a strategy framework built around a fast weighted moving average (WMA) and a much slower macro baseline. It includes percentage envelopes and a structural sensitivity setting, then exposes selectable execution modes for…
This long-only strategy uses a long-term EMA as a trend filter and places a limit buy order at a shorter EMA when price is above that filter. Its stated design aims to enter on pullbacks while trading in the direction of the broader trend. The accompanying…
This swing-trading framework combines four kinds of analysis: Wyckoff market phases, simplified volume-profile levels, mean-reversion signals, and trend following. It uses price and volume to classify accumulation or distribution, POC and value-area levels…
This Bitcoin strategy combines Relative Vigor Index crossovers with a dual-EMA trend filter. A crossover above the RVI signal line can trigger a long when price and the faster EMA indicate an uptrend; a crossover below can trigger a short when price and the…
The document presents a trend-following system using fast and slow EMAs for crossover entries, ADX to require trend strength, and RSI thresholds to close positions. It also describes higher-timeframe confirmation using four-hour EMAs and risk control through…
This strategy identifies bullish and bearish Three-Line Strike candle patterns, then filters them using ADX so trades are taken only when the indicator exceeds a threshold. ATR sets dynamic stop-loss and take-profit levels. The described pattern uses three…
This proposed short-term strategy uses crossovers between fast and slow EMAs to signal long and short trades on XAUUSD. ATR is used to set dynamic stop-loss and take-profit distances, and the description says trade risk is controlled with a fixed percentage…
This Pine strategy opens short positions when a fast moving average crosses below a slow one. The average type and lengths are configurable, and an optional slope filter requires both averages to be declining beyond set thresholds. An optional session window…
This strategy pairs RSI threshold signals with an ADX filter and optional swing-based exits. Its description proposes buying when RSI is oversold and selling when it is overbought, provided ADX indicates a strong trend. The source code differs: it creates…
This strategy combines as many as five separately configured RSI series. Each has its own period and threshold. When an enabled RSI falls below its threshold, the strategy can enter long; it records the highest-period active trigger as the signal strength…
This strategy calculates relative strength as the current close divided by the highest high over a lookback, then applies MACD to that series. A positive MACD histogram opens a long position; a negative histogram closes it. The described approach focuses on…
The strategy uses a short and long simple moving average crossover to enter long or short positions as the perceived trend changes. It pairs this trading rule with a chart panel that summarizes historical expectancy by month and year. The stated calculation…
This intraday strategy records the high and low of the first candle at a configured time and treats that range as the day's breakout boundary. It enters long after a close above the high or short after a close below the low. The initial trailing-stop…
This document outlines an intraday trend-following approach for Nasdaq 100 micro futures. It uses a fast and slow EMA crossover to signal direction, then checks that price is on the matching side of VWAP before entering. ATR sets different stop distances for…
This document describes a five-minute SPY short strategy that combines a recent high as resistance with RSI, MACD, and trading volume. A short signal requires price to be near or cross below the resistance level, RSI to be below its threshold, MACD to…
This strategy places buy and sell triggers on a grid whose center and levels adjust as a smoothed price reference changes. The user can select among several moving-average methods, choose whether signals use highs and lows or closes, and set grid spacing,…
This strategy combines fast and slow moving-average crossovers with RSI thresholds. The document describes entering in the direction of a crossover when RSI conditions permit, delaying entries when RSI is considered stretched, and closing an open position…
The document presents a moving-average crossover approach using fast and slow averages to identify directional changes. Its explanation associates an upward cross with a long entry and a downward cross with a short entry, and describes take-profit or…
The document describes a trend-following approach built around net volume (NV), which assigns daily volume a positive or negative sign according to the direction of price change and assigns zero when price is unchanged. Its narrative says crossovers between…