Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.
Dokumentu skaits: 7,910
This strategy pairs candlestick wick patterns with a dual simple moving average crossover. It describes identifying possible reversals from the relationship between candle shadows and bodies, using adjustable wick and body thresholds. Trend signals come from…
This R-Breaker implementation calculates a central pivot and three support and resistance levels from the previous candle's high, low and close. It compares current price and the current session's high and low with those levels to generate breakout and…
This trading system combines a short and long exponential moving average crossover with Fibonacci retracement levels and pivot-point support or resistance. A bullish or bearish crossover establishes direction; price location relative to a Fibonacci level and…
This short-term strategy combines estimated buying and selling volume with RSI, MACD, and MACD signal-line behavior to identify possible price oscillations. It calculates fast and slow moving averages, derives MACD and signal values, and evaluates factor…
This strategy selects active ETH/WETH liquidity pools on Robinhood Chain and opens concentrated liquidity positions to earn trading fees. It discovers candidate pools through paginated directories, screens activity and market conditions, then checks pool…
The strategy constructs a composite indicator, KNRP, by multiplying the stochastic oscillator by RSI and dividing by a momentum ratio. Its code calculates RSI from the open price, uses close prices for momentum, and applies a short moving average to the…
This script combines a higher-timeframe trend filter with local moving average alignment, momentum, and price-action conditions. Long entries require bullish higher- and lower-timeframe trends, a qualifying liquidity sweep, fair value gap, or order-block…
This strategy combines directional movement and MACD signals to choose a persistent long or short bias. A long condition requires the positive directional indicator to exceed the negative one while the MACD line is above its signal line; short conditions…
This strategy enters when a fast simple moving average crosses a slow one, then tracks the resulting long or short trend state. Its risk management uses a percentage trailing stop that activates only after price moves a specified amount in favor of the…
This short script uses Wilder-style smoothed moving averages of closing price to generate directional signals. With the displayed defaults, it compares a faster average using a 20-bar length against a slower average using a 55-bar length. A crossover of the…
This script outlines an intraday strategy for Micro E-mini S&P futures that measures the percentage distance between price and VWAP. It calculates the rolling standard deviation of that distance and uses scaled bands to define extreme readings. A long signal…
This BTC futures strategy combines a short and long exponential moving average with an average true range channel anchored to the day’s opening price. It enters long when the previous close is above the upper band, above a recent high, and the shorter EMA…
This reversal strategy estimates buying and selling pressure from bar volume and the close’s location within the high-low range. It compares those measures across short and longer lookback windows, then combines volume bias with MACD and signal-line behavior…
This strategy combines Parabolic SAR for trend direction with EMA and Bollinger Band basis relationships, MACD histogram direction, and RSI overbought or oversold conditions. It describes requiring these factors together to form an entry signal, then setting…
The system looks for a volatility squeeze by ranking Bollinger Band width against its trailing distribution, then seeks an upside breakout above the prior range. A recent squeeze must coincide with above-average volume and price above a long-term moving…
This strategy combines MACD crossovers, short and longer EMA crossovers, and a relative volume measure. The MACD uses fast and slow exponential averages and a smoothed signal line; volume strength compares current volume with its recent average. A…
This cryptocurrency perpetual-futures strategy offers three ways to set support and resistance boundaries: prior-bar highs and lows, Bollinger-style bands around the mean close, or an ATR-based channel. It evaluates only completed candles and excludes the…
This intraday stock strategy uses a Renko-derived measure of price retracement to identify potential long entries. It compares the measure with two thresholds: an upper band based on a rolling mean plus a multiple of standard deviation, and a lower band…
This script lays out a ten-level long grid around a user-defined center price. Grid levels are spaced by a percentage of that center, with orders set as limits or stops depending on whether the current price is above or below each level. Each successive…
This long-biased strategy seeks to buy temporary pullbacks while a broader bullish structure remains in place. It enters when RSI falls below a configurable threshold and a long-term moving average is below a medium-term average. It exits after price…
This strategy uses two layers of pivot analysis to identify potential turning points. Basic price highs and lows form the first layer; a second layer selects more significant pivots from those points. A break through a selected pivot level can trigger a long…
This strategy looks for a transition from consolidation to directional movement using four simple moving averages with periods of 5, 10, 20, and 30. It defines a squeeze as a narrow range between the averages that persists for at least three periods, then…
This intraday breakout strategy uses confirmed pivot highs and lows as reference levels. It enters long when price crosses above the latest pivot high and short when it crosses below the latest pivot low. Entries are filtered by a 150-period EMA: longs…
This strategy uses the Detrended Price Oscillator (DPO) to create long or short signals. It calculates the difference between price and a simple moving average over a chosen lookback, using 14 periods by default. A positive value signals a long position,…