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 strategy uses two simple moving averages of closing prices to switch between long and short positions. The described defaults are a 20-period fast average and a 50-period slow average. A cross of the fast average above the slow one opens a long position…
This script combines a price reversal setup with a modified price-volume trend (MPVT) filter. The reversal component tracks a position when two consecutive closes move in the same direction and the fast and slow stochastic readings meet specified level…
This strategy uses Bollinger Bands to generate long and short entries, with additional position management through exits and pyramiding. It calculates a moving-average middle band and upper and lower bands from a multiple of the standard deviation. The…
This strategy combines a 10-period simple moving average, a normalized MACD-style measure, and RSI relative to its own moving average to establish directional conditions. The overview describes confirmation across one-, three-, and five-minute charts for…
This strategy identifies bullish and bearish candlestick formations and maps them to long entries and exits. The enabled pattern set includes doji variants, three soldiers or crows, three line strikes, piercing and dark cloud patterns, morning and evening…
This strategy uses an adaptive range filter to track price movement and issue directional signals. Its range can be based on measures such as average change, average true range, standard deviation, ticks, or a percentage of price, with smoothing and…
This strategy combines Supertrend direction with RSI as a momentum check. It opens a long position when Supertrend indicates bullish conditions and RSI is above 50, and opens a short position when Supertrend turns bearish while RSI is below 50. RSI…
This strategy builds two Supertrend lines from an average price and the average true range. One line uses a standard multiplier and the other a wider multiplier; price crossings of the lines, together with its position relative to the second line, define…
This strategy looks for short-term pullbacks during strong Bitcoin price impulses. It uses an hourly EMA change relative to ATR to identify an impulse, then checks whether the four-hour trend EMA supports a long or short direction. Three-minute prices supply…
This trend following method combines short, medium, and long moving averages. It enters long when the short average crosses above the medium average while the medium average is above the long average; the reverse alignment and cross trigger a short signal.…
This strategy combines a short-term reversal signal with a volatility-adjusted momentum filter. The 123 component uses recent close movements and stochastic conditions to generate long or short signals. The Dynamic Momentum Index adapts the RSI lookback to…
The document presents a strategy combining MACD crossovers, RSI thresholds, and moving-average checks. The narrative says it opens longs on a MACD bullish crossover with RSI above 50, opens shorts on a bearish crossover with RSI below 50, and closes…
This intraday reversal system looks for price to return inside a Bollinger Band after closing beyond it. A long signal requires a prior close below the lower band and a current close above it; a short uses the corresponding move back below the upper band.…
The document introduces a moving-average crossover method and describes a three-average version using 20-, 50-, and 200-day exponential moving averages. Its stated long condition is for the 20-day and 50-day averages to cross above the 200-day average, with…
This long-only trend strategy uses the relative position of short and long EMAs as a direction filter, then enters when MACD crosses upward and RSI remains below its overbought threshold. While a position is open, it defines exit conditions using a bearish…
This strategy classifies market direction by comparing current indicator features with historical feature vectors, then voting across the nearest labeled observations. The description mentions RSI, ROC, CCI, and volume as possible inputs, normalized to a…
This long-only Litecoin strategy waits for two entry conditions: a 14-period RSI on the four-hour timeframe below 29 and a closing price below a configurable ceiling, set to $61 by default. It starts with a $1,000 base order and places up to four averaging…
The visible Pine Script combines several technical indicator components in a strategy framework. It calculates MACD from selectable fast and slow simple or exponential moving averages, with a selectable signal-line average. It also calculates a long-term…
This strategy plots one or two configurable moving averages and generates long or short entries when the main average crosses its own smoothed prior value. It supports several average types, including SMA, EMA, WMA, Hull, volume-weighted, RMA, and TEMA, and…
The document shows the opening portion of a Pine Script strategy labeled for a trading evaluation account. Its inputs define London and New York morning entry and management sessions, an opening-range length, a delay before entry, breakout strength and…
This strategy combines an SMA and standard-deviation price channel with candlestick pattern rules, volume confirmation, and directional probability estimates. It describes nine patterns, including hammer, shooting star, engulfing, and multi-candle…
This trend-following setup looks for three consecutive candles closing outside the Bollinger Bands. A long signal requires all three candles to be bullish and each close to sit in the upper half of its range; a short signal applies the corresponding bearish…
This strategy builds fast and slow Optimized Trend Tracker (OTT) lines from configurable moving averages and percentage-based trailing levels. Their relative position determines the directional bias: the fast line above the slow line indicates a long state,…
This trend-following approach uses the Distance Close Bars (DCB) concept: it tracks the latest up-candle and down-candle closing prices, measures the gap between them, and compares that distance with its 30-period simple moving average. A signal is generated…