知識圖書館

This script outlines an intraday opening-range breakout strategy with configurable session presets for the US open, Asian hours, or a custom time window. It builds a range during an initial period, then defines a later trading window, with a scheduled…

This strategy combines moving average crossovers with pivot points and an ATR-based SuperTrend calculation to identify trend direction and potential trades. It uses fixed-timeframe price data, calculates 8- and 21-period EMAs and smooths them with moving…

This notebook defines a bearish shooting-star candle using body and wick proportions, two preceding non-declining closes, and confirmation that the following candle’s high and close do not exceed those of the candidate candle. It marks confirmed patterns as…

This strategy uses LazyBear’s Wave Trend indicator to generate trading signals from two smoothed lines. It derives a volatility-adjusted series from the average price, its exponential moving averages, and the deviation from that average; a further smoothing…

This strategy combines Smart Money Concepts price zones with a 50-period simple moving average. It estimates a recent range from swing highs and lows over eight candles, uses the midpoint as equilibrium, and labels prices above or below it as premium or…

The document presents a rules-based mean-reversion approach for TQQQ, a leveraged Nasdaq-100 fund. At Monday’s regular-session open, the strategy places a limit buy one percent below that price. After a fill, it sets a one-percent profit target for the next…

This workflow describes automated cryptocurrency perpetual-futures trading that delegates per-asset decisions to a large language model. An hourly process gathers market indicators, funding rates, positions, account state, and historical trading performance,…

This strategy description combines engulfing candlestick patterns with a 50-period EMA trend filter. It proposes validating each pattern by comparing candle body sizes, wick proportions, and total range with ATR. Additional filters check volume and…

This strategy combines a pair of exponential moving averages with a directional volatility measure to generate long and short signals. The first EMA is calculated from the prior close, and a second EMA smooths that series. Long entries require price and the…

This TradingView strategy outlines an ICT-style setup that looks for a liquidity sweep of a recent swing, followed by directional displacement and a fair value gap. Inputs include a risk-reward setting, minimum entry score, EMA trend filter, session windows,…

This strategy seeks agreement among momentum readings on three timeframes, then uses stochastic signals to time entries. Momentum can be measured with RSI relative to a neutral band around 50 or with the slope of an exponential moving average. Long entries…

This strategy pairs bullish and bearish candlestick patterns with a two-average trend filter. It describes long signals when bullish engulfing or morning-star patterns appear in an uptrend, and short signals when bearish engulfing or dark-cloud-cover…

This long-only approach combines a fast RSI reading with a large candle-body condition to identify potential breakout entries. It looks for a bearish candle with RSI below 10, a body more than 2.5 times the recent average, and additional price-distance and…

This strategy combines a slow simple moving average, a fast exponential moving average, and volatility bands calculated from price standard deviation. It defines narrower bands for entries and wider bands for exits. The described rules open short positions…

This strategy smooths open, high, low, and close prices with a selected moving average, then calculates Supertrend-style trailing stops from those smoothed candles. It enters long when price is above the short stop and the Supertrend direction is bullish,…

This strategy uses Ichimoku components to define long and short breakout conditions. A bullish setup requires Tenkan above Kijun, the close above the forward-shifted cloud, and positive price momentum over the lagging-span offset. The bearish setup reverses…

This long-only trend strategy combines moving average alignment with rising-price momentum filters. It enters when a 20-period EMA is above a 100-period SMA, price is above the 100-period SMA, and several averages and MACD components are rising; an RSI…

This strategy combines buy and sell signals attributed to a Smart Money Concepts indicator with MACD and an exponential moving average. It opens a long when a buy signal is enabled, MACD is above its signal line, and the close is above the EMA. The short…

This strategy uses fast and slow price momentum measures, with default lookbacks of five and ten periods. It enters long when both measures are positive and closes that position when either turns negative; it enters short when both are negative and exits…

The document describes a trend strategy that compares closing price with a long-period simple moving average, then counts consecutive bars on either side of that average. Its prose says to trade in the direction of a move once the count reaches the…

This document presents a trend-following approach for BTC futures that combines a price channel, a modified Hull moving average, linear regression, and additional filters. Its written description says a crossover between the modified Hull average and…

The document describes a BTC futures strategy that uses confirmed pivot highs and lows as breakout levels: it places stop entries above the latest pivot high for longs and below the latest pivot low for shorts. It also explains how to calculate compounded…

This strategy combines a 14-period RSI reversal trigger with custom Fibonacci Bollinger Bands. It goes long when RSI crosses down through the oversold threshold of 30 and short when RSI crosses up through the overbought threshold of 70. For each position,…

The document outlines a regime-based approach that uses SPY relative to its 200-day simple moving average to switch exposure between leveraged TQQQ and QQQ. The supplied script opens a long position when SPY closes more than 4% above the moving average and…