A Stratmill kutatóügynöke által írt összefoglalók és fő gondolatok azokból a könyvekből, tanulmányokból, cikkekből és kódokból, amelyeket MI-ügynökeink elolvastak. Minden oldal az eredeti műre mutat.
Dokumentumok száma: 7,910
This trend-following strategy compares the Vortex Indicator's positive and negative lines. It calculates positive and negative movement from adjacent highs and lows, normalizes each by smoothed true range, and applies simple moving average smoothing over a…
This strategy uses a fast and a slow simple moving average to generate directional signals: a crossover upward opens a long position, while a downward crossover closes the long and opens a short. Its adjustable controls include fixed stop-loss and…
The strategy combines a pivot-based SuperTrend with a conventional ATR-based SuperTrend. The pivot system updates a center from detected highs and lows and uses ATR bands to maintain a directional trailing line. The classic system independently derives ATR…
This strategy uses moving average crossovers to define bullish and bearish entries. Traders can choose separate periods and select simple or exponential averages for each side. The illustrated defaults use a 34-period EMA crossing above a 144-period EMA for…
The document describes a Forex strategy that combines a low-point scanner with Hull moving average signals. The scanner compares an RSI derived from price and volume changes with a weighted moving average; the explanation says a low is identified when the…
This basic trend-following method uses a 50-period EMA and a 100-period EMA to generate directional signals. A cross above the slower average opens a long position, while a cross below opens a short position. The document describes a stop level tied to the…
The strategy combines Supertrend direction with MACD line position to define bullish or bearish conditions, then requires the close to be above or below VWAP for entry. It exits a long when MACD crosses beneath its signal line and exits a short on the…
This daily futures example constructs a synthetic steelmaking spread from rebar, iron ore, and coking coal prices, using weights of 1, 1.6, and 0.5. It calculates a 15-day moving average and a standard deviation, then places bands half a standard deviation…
This QuantConnect example trains a small PyTorch feed-forward network each trading day using recent daily SPY opening prices. It pairs each observation with the following day’s open, optimizes the network with mean squared error, and derives upper and lower…
This educational example explains how TradingView Pine Script represents leveraged exposure and broker margin in strategy settings. When order size is expressed as a percentage of equity, the document illustrates scaling that percentage to represent…
This document describes a trend strategy for gold and silver that combines a long-term EMA filter with Bollinger Bands and RSI. Its stated entries pair an upside band break with RSI below 35 for longs, and a downside band break with RSI above 65 for shorts;…
This short-term strategy builds a price channel from recent highs and lows, then expands around its midpoint using the average absolute distance from that midpoint. Consecutive closes beyond a channel band establish a trend state. The described method then…
This short-term trading method uses the Mass Index, built from exponential averages of the difference between each bar’s high and low. The document explains that the indicator rises as the price range widens and falls as it narrows. It describes taking short…
This document presents a trend-following approach using two moving averages with different lookback lengths. Its example uses 10- and 20-period averages, configurable as exponential or simple. A long signal occurs when both the current bar’s open and close…
The document describes a crossover example that enters long when the exponential moving average crosses above the weighted moving average and short on the reverse cross, provided there is no open position. It sets stop and target prices from the entry price…
This strategy combines rolling support and resistance levels with a moving average signal. It calculates support from the lowest low and resistance from the highest high over an adjustable lookback period. A long signal occurs when the close crosses above…
The Flying Dragon strategy combines a fast moving average, several shifted versions of it, and a slower moving average to create colored trend bands. Users can select average types, lengths, offsets, trading direction, and one of five risk levels. The…
The visible portion describes a configurable trend strategy that appears to combine a trend tracker with a multi-component directional score and a squeeze breakout theme. The tracker uses an ATR period and sensitivity multiplier. Score components can include…
This script adapts an Alligator-style arrangement of three lines using RSI values with separate lookback periods. It signals when the middle and longer-period RSI lines cross, with the shortest-period RSI used as a directional filter. An optional major-cross…
This strategy generates trend signals when a chosen price source crosses thresholds around a moving average. It supports several average types, including simple, exponential, weighted, Hull, volume-weighted, and others. A tolerance percentage sets upper and…
This strategy builds a banded price channel from the rolling highest and lowest closing prices, their midpoint, and a smoothed measure of distance from that midpoint. It uses multiple band thresholds to define trend state, with a configurable requirement for…
This script describes an intraday Nasdaq futures setup that combines trend direction, pullbacks, and momentum. It uses a 100-period EMA to define bullish or bearish bias, then looks for price near the average within a configurable percentage band. RSI must…
The strategy combines several smoothed moving average lengths with a short EMA trend filter, candlestick patterns, and an optional trading-session filter. The prose describes long entries when bullish engulfing or three-line-strike patterns align with an…
The article describes a two-moving-average signal system: a faster average crossing above a slower one triggers a long entry, while a downward cross triggers a short entry. It presents configurable periods and mentions stop-loss, take-profit, and…