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This short-term BTC perpetual futures bot combines trend, momentum, and volume signals to decide when to enter. The described filters include ADX, a range filter, Parabolic SAR, RSI, TWAP, Jurik moving average, MACD, cumulative volume delta, volume…

This strategy opens a long position and adds further buys as price falls below the initial entry by configured increments. Later order sizes are scaled from the prior safety order, while the spacing between triggers can also be scaled. It caps the number of…

This strategy builds Renko-like price steps using ATR as the brick size, adapting the step threshold as volatility changes. It manually calculates Renko open and close series to seek non-repainting signals: a cross of the Renko open and close triggers a long…

This document presents a stochastic crossover example and explains how TradingView alerts can pass calculated trade values to an external execution connector. A long signal occurs when the smoothed %K line crosses above %D below the upper threshold; a short…

This intraday strategy defines an opening range from the first five minutes of the US session. It waits for a candle to sit fully above or below that range, then places a limit order at the relevant boundary in anticipation of a retest. The opposite range…

This strategy seeks to enter when a closing price breaks beyond recent closing-price highs or lows. It confirms a long breakout by requiring price to be above both a simple moving average and an ATR-based Alpha Trend line; short entries require price below…

This document describes a rule-based trend strategy that combines the Ichimoku Cloud, RSI, and MACD. It treats price above or below both cloud spans as the directional filter, checks that RSI is outside the relevant extreme zone, and uses MACD crossovers to…

This document describes an intraday forex breakout approach built around the transition from Tokyo to London trading. It records the high and low during the final Tokyo hour, then watches the first 30 minutes after the London open for a move beyond either…

This short example defines a changing resistance level from an earlier high that follows a lower high. It plots that level and uses the previous bar’s close relative to resistance to choose direction: a close at or above the level leads to a long order,…

This generic backtesting script accepts user-provided long and short input series and turns changes in those series into entry signals. It permits a new position only when flat, sizes orders from a chosen fraction of equity and the configured stop distance,…

This QuantRocket pipeline example builds a daily screen for common stocks. It first limits the starting universe to common shares, then retains securities in the upper decile of 30-day average dollar volume, trading above their 20-day simple moving average,…

This daily strategy uses Internal Bar Strength, calculated from the previous session’s close relative to its high-low range, to identify potential short-term reversals. A low IBS reading triggers a long entry when price is above a configurable EMA; a high…

This strategy looks for closes at recent closing-price extremes while average candle ranges are contracting. It compares the highest close over a short lookback and the lowest close over a longer one, then checks whether the average high-low range over five…

This configurable strategy trades MACD momentum signals while offering optional trend filters based on moving averages, ADX, or Parabolic SAR. Its core trigger is the MACD histogram crossing zero. Users can select long, short, or both directions, and choose…

This strategy compares an asset’s return over a lookback period with the return of a chosen market index. It smooths the two return series with a configurable moving average and enters long when the asset’s smoothed return exceeds the index’s; it closes the…

This trend-following method uses the Supertrend indicator, based on ATR, to detect possible changes in market direction. It adds a candle-body filter: a Supertrend direction change is treated as a potential reversal, and the signal is confirmed when the…

This strategy uses the difference between a fast and a slow exponential moving average to track price direction. It doubles the EMA calculated over half the chosen period, subtracts the EMA over the full period, then smooths that difference with another EMA.…

This strategy searches for potential reversals when daily candles extend beyond Bollinger Bands and have a sufficiently large wick relative to the candle body. A lower-band breach with a qualifying lower wick sets up a long entry; an upper-band breach with a…

This BTC strategy combines moving averages, oscillators, and volume to filter trade signals. It uses the 20-period and 200-period exponential moving averages as directional filters, with MACD crossovers as the trigger. Long entries also require RSI below its…

The document describes an EMA-based trading approach with short-, medium-, and long-period averages, plus RSI and candle-based filters. Its overview says a fast EMA crossing a slower EMA triggers directional signals, while candle-body comparisons and a close…

This strategy looks for unusually deep price declines as potential mean-reversion entries. It measures the current close’s percentage drawdown from the highest high in a rolling lookback, then calculates the recent mean and standard deviation of those…

This strategy builds a trailing trend reference from the average true range and a momentum condition. With volume data, it uses the money flow index; when volume data is unavailable, it can use RSI instead. A multiplier controls the distance of the reference…

The strategy combines moving-average alignment, a short-timeframe stochastic reading labeled SRI, and candle opening gaps to generate long and short entries. The daily 5-, 10-, 50-, and 100-period averages describe trend direction and price context, while…

This trend-following system uses a 50-period Kaufman Adaptive Moving Average as its price trend reference and MACD as a momentum confirmation. A long entry occurs when price crosses above KAMA while MACD is bullish; a cross below KAMA with bearish MACD…