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
The strategy compares highs and lows over longer and shorter lookback windows to generate entries, then manages positions with stop orders and trailing exits. The description says to short when a longer-window high breaks above a shorter-window high, and to…
This document presents a long-only strategy that combines an ATR volatility filter, a price-drift signal, and a trailing stop. Its prose describes elevated volatility as ATR exceeding its rolling average by one standard deviation, then confirms an uptrend…
This Python port describes a BTC trading bot that watches recent trades and a weighted order-book price to detect short-term price bursts. It smooths observed trade volume, compares the latest price with recent highs and lows, and submits buys or sells when…
This short-term strategy derives support and resistance from recent highs and lows on a higher timeframe, then looks for breakouts on a lower timeframe. It confirms direction with RSI thresholds, price displacement beyond the level, ATR expansion, fast and…
This strategy script is organized around breaks of market structure and changes of character, with configurable pivot lookback and optional adjustment by chart timeframe. Its inputs allow entries on BOS, CHoCH, or either, and optionally require a strong…
This strategy uses a 74-period simple moving average as the main entry reference and divides the recent high-low range into five price zones. It buys when price crosses above the long average while closing in the upper zone, and sells short when price…
This Pine Script excerpt describes an intraday breakout strategy configured around an Indian trading session and a selectable backtest date range. It defines Bollinger Bands, a short-period double exponential moving average, and VWAP. The visible signal…
This regression example shows how an equity subscription can choose its data normalization mode at the time the symbol is added. It demonstrates raw, adjusted, and total-return modes for three equities, then checks that each subscription uses the requested…
This breakout framework looks for periods of compressed volatility by comparing Bollinger Bands, based on price dispersion, with Keltner Channels, based on ATR. It treats narrow Bollinger Bands—and optionally their containment within the Keltner Channel—as…
This strategy combines MACD, RSI, and relative volume (RVOL) to generate long and short signals. A long signal can occur when RSI crosses upward through its oversold threshold, MACD momentum crosses above zero, or RVOL crosses its high-volume threshold, with…
This intraday strategy describes one setup per New York trading day, beginning at a configurable session hour that defaults to 10 a.m. It selects the first confirmed three-candle fair value gap whose middle candle falls at or after the start time. The…
This strategy turns buying pressure relative to true range into a composite indicator across several lookback periods. It uses Fibonacci-related windows, assigns greater weights to shorter windows, and smooths the resulting average with a short simple moving…
This strategy uses an adaptive G-Channel to detect shifts in price direction and a 200-period EMA as a trade filter. It enters long when the channel trend turns upward while price is below the EMA, and short when the trend turns downward while price is above…
This strategy compares two configurable trend lines, with triple exponential moving average (TEMA) and least-squares linear regression as the stated combination. A crossover of the shorter line above the longer line signals a potential long entry; the…
This long-only trend-following system combines a fast and a slow simple moving average with a faster price filter. Using the stated settings, it enters when the 11-period average is above the 31-period average and price is above the 5-period filter; it exits…
This strategy scans for price differences between shared Binance and OKX spot markets, buys on the lower-priced exchange, and sells matching inventory on the higher-priced exchange. It ranks candidate spreads using executable quotes, then opens and closes…
This trend-following strategy pairs a zero-lag linear regression moving average (ZLSMA) with a Chandelier Exit (CE). ZLSMA is calculated by applying linear regression twice and correcting the first estimate by their difference. CE uses average true range…
This strategy combines a 123 price-reversal signal with a Chande Momentum Oscillator (CMO) compared against its weighted moving average (WMA). The reversal component checks successive closing-price moves and confirms with fast and slow Stochastic lines…
This strategy looks for short-term rebounds within an uptrend. It filters for prices above a long-term simple moving average, then enters long when a short-period RSI crosses back above an extreme oversold threshold. It exits when the close rises above a…
The available excerpt describes a strategy built around market-structure zones, with entry confirmation from candle behavior, volume, RSI momentum, and wick rejection. Inputs set swing detection, ATR-based stop distance and zone buffer, a trend EMA and slope…
This strategy uses Chandelier Exit stop lines, derived from recent price extremes and average true range (ATR), to signal entries and exits. Its stated defaults use a 22-period ATR multiplied by three. A long position is opened when price crosses above the…
This strategy uses On-Balance Volume (OBV) and separate moving-average rules to enter and exit long and short positions. OBV adds volume when price rises and subtracts it otherwise. The strategy smooths OBV with four simple moving averages: distinct entry…
This strategy calculates Bollinger Bands from a simple moving average and a standard-deviation envelope. It enters long when price crosses above the lower band and short when price crosses below the upper band. Its other feature is a user-selected start and…
The Starlight strategy uses a short simple moving average crossing a longer one to signal direction: an upward cross opens a long position, while a downward cross closes it. The document also explains MACD line and signal-line crosses as a way to interpret…