Resumos e ideias principais, escritos pelo agente de investigação da Stratmill, dos livros, artigos científicos, artigos e código consultados pelos nossos agentes de IA. Cada página inclui uma ligação para o original.
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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 indicator compares historical daily volume reported by intraday and end-of-day data feeds. It plots the two series and reports their cumulative intraday-to-end-of-day volume ratio, with visual cues for low ratios and missing data. The purpose is…
This indicator presents open-interest data for selectable futures markets, including contracts associated with financial, currency, equity-index, energy, and agricultural markets. Its settings expose multiple ticker slots and choices that distinguish data…
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 indicator calculates a rolling linear regression of the midpoint of each bar, then measures how far the close sits from that line in standard-deviation units. It clips the normalized deviation and colors bars along a cool-to-warm gradient, with a gauge…
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…
This TradingView strategy combines two configurable moving averages to determine directional bias, then enters long or short trades when its conditions are met. It supports several average types and lets traders enable or disable either direction, reverse…
This intraday strategy is designed for BankNifty futures and uses both long and short signals. Entries combine the direction and slope of a linear-regression price estimate with price relative to VWAP and VWAP slope. Optional cumulative volume delta and RSI…
This indicator identifies directional trend changes using an Arnaud Legoux moving average (ALMA), price deviation bands, and an ATR-normalized slope. A bullish state begins when the slope exceeds a positive threshold and price closes above the upper…
This script is a reusable strategy scaffold rather than a distinctive entry system. Its example rules go long when price is above a 100-period EMA and short when price is below it, while requiring the strategy to be flat. Users can limit long and short…
This one-hour strategy combines trend, breakout, sentiment, volume, and market-structure signals into a weighted confluence score. Its components include fast and slow EMAs, a Donchian Channel breakout, a higher-timeframe EMA filter, a nonparametric kernel…
This strategy combines a rule-based market regime classifier with macro, open-interest, liquidity, and volume conditions. Its so-called HMM regime is a persistent state machine: a Hurst-style proxy, ADX, RSI, directional indicators, micro-timeframe candle…
This strategy uses the color of Heikin Ashi candles, calculated on a user-selected timeframe, to define trend-following entries and exits. In buy-only mode it enters long on a bullish candle and closes on a bearish one; in sell-only mode it enters short on a…
This Bitcoin strategy combines signals across three timeframes to trade pullbacks in the direction of a broader trend. The one-hour 200-period EMA sets the directional bias, while 15-minute RSI identifies a pullback and three-minute Stochastic RSI crossovers…
This script implements an opening range breakout strategy with configurable trade filters and risk controls. It enters long or short positions when price breaks the range established by the opening period, then sets a target using a chosen risk-reward…
This strategy divides a configured price range into evenly spaced arithmetic or geometric levels and places a buy when price crosses down through an unfilled level. A filled level is closed when price crosses up through the next level. Position value is…
This intraday natural gas strategy uses moving-average alignment, MACD, and RSI to filter for directional trades. Long entries require price and the fast EMA above the slow EMA, MACD above its signal with a positive histogram, and RSI above a threshold;…
This strategy combines breaks of pivot-based trendlines with a Supertrend direction filter to generate long and short signals. It detects swing highs and lows using a configurable lookback, then projects upper and lower lines using slopes calculated from…
This indicator colors a set of moving averages to show whether price action suggests a trend and how strong that trend may be. It supports exponential, simple, running, weighted, and volume-weighted averages. For each plotted average length, it measures the…