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Søg i biblioteket

7,910 dokumenter

Strategy library

This document describes a polling tool for comparing prices from two exchanges, including spot and futures markets. Users can choose each market’s quote currency, futures contract and leverage settings, and whether to compare best ask, last price, or best…

Flere aktivklasserFuturesSpotmarkederArbitrage
Strategy library

This simple long-only strategy aims to buy a short-term price dip and capture a possible rebound. It subtracts a multiple of 20-bar ATR from the low, smooths that adjusted series with a simple moving average, and enters when the market low crosses below the…

Tilbagevenden til gennemsnittetTekniske indikatorerRisikostyringBacktesting
Strategy library

This short-term system looks for breakout conditions in a one-minute MACD histogram, using Bollinger Bands around the histogram as trigger levels. Long entries require the histogram to fall below its lower band, an RSI reading above the stated threshold, and…

KryptoFuturesKursgennembrudTekniske indikatorer
Strategy library

This strategy uses Keltner Channel levels to place opposing stop entries on five-minute bars. When flat, it submits a buy stop at the upper band and a sell stop at the lower band as an OCO-style pair; when one side fills, it cancels the opposing order.…

Tekniske indikatorerKursgennembrudTrendfølgningRisikostyring
Strategy library

This TradingView paper strategy describes a long-only Turtle-style approach for daily Bitcoin prices on Bitstamp. It enters when the close rises above the previous 20 days’ high, provided price is above a 50-day simple moving average. An initial stop is set…

KryptoTrendfølgningKursgennembrudTekniske indikatorer
Strategy library

This QuantConnect example demonstrates how a custom buying power model can change order sizing and buying-power checks in a backtest. It applies the model to hourly SPY data, rounds the maximum order quantity down to a multiple of 100 shares, and then…

AktierBacktestingPositionsstørrelseRisikostyring
Strategy library

This strategy uses fast and slow zero-lag least-squares moving averages (ZLSMA) to describe market direction, then uses MACD behavior to time entries. The accompanying explanation proposes taking trades when the moving-average trend and a MACD crossover…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This strategy combines the Stochastic Momentum Index (SMI) and the Relative Strength Index (RSI) to generate long and short signals. An oversold SMI or low RSI can support a long entry, while the corresponding overbought conditions support a short. In…

KryptoFuturesTekniske indikatorerBacktesting
Strategy library

This strategy draws on Elder Ray's bull and bear power concept, measuring the day's high and low relative to an exponential moving average used as a value reference. The article describes using these differences to represent buying and selling pressure, then…

KryptoFuturesTekniske indikatorerMomentum
Strategy library

This trend-following approach pairs a short-period EMA with a longer-period EMA and checks the crossover against RSI momentum. An upward crossover generates a long signal only when RSI exceeds a configurable level; a downward crossover generates a short…

KryptoFuturesTrendfølgningMomentum
Strategy library

This combined strategy requires agreement between a stochastic-based reversal signal and a two-period exponential moving average signal. The reversal component evaluates recent closing-price sequences alongside fast and slow stochastic values relative to a…

KryptoFuturesTilbagevenden til gennemsnittetTrendfølgning
Strategy library

This strategy uses a moving-average center line and standard-deviation bands to identify price breakouts. The basis can use several moving-average types, while the band width is set by a standard-deviation multiplier. A close crossing above the upper band…

KryptoFuturesKursgennembrudVolatilitet
Strategy library

This strategy uses Average True Range to form adaptive long and short stop lines around the midpoint of each bar. A direction state changes when price crosses the prior opposing stop, providing trend-reversal signals. After entry, the described trailing…

KryptoFuturesTrendfølgningVolatilitet
Strategy library

This document describes a crossover approach using a linear regression line, a moving average of that line, and an exponential moving average of price. The stated method treats an EMA crossing the averaged regression line as an entry or exit signal, and…

Tekniske indikatorerTrendfølgningStatistikRisikostyring
Strategy library

This strategy combines prior-day price levels with moving average signals. It treats a move beyond the previous day's high or low as a breakout, then uses a fast 10-period and slow 30-period moving average crossover to confirm direction. The described…

KryptoFuturesKursgennembrudTrendfølgning
Strategy library

This strategy applies the Fisher Transform to normalized midpoint prices over a lookback window. It smooths the normalized value, constrains it near its allowable bounds, then transforms it; the direction of change in the resulting indicator determines…

KryptoFuturesTilbagevenden til gennemsnittetTekniske indikatorer
Strategy library

This strategy measures momentum as the difference between the current close and the close 18 periods earlier, then measures the one-period change in that momentum. Positive values for both measures indicate a long bias; negative values for both indicate a…

KryptoFuturesTrendfølgningMomentum
Strategy library

This strategy combines MACD crossover signals with a 200-day simple moving average as a broad trend filter. It describes buying when the MACD line is above its signal line, remains below zero, and price is above the moving average. It describes short entries…

KryptoFuturesTrendfølgningMomentum
Strategy library

This strategy uses On-Balance Volume to identify an upward trend, then builds a long position through repeated entries. A signal occurs when OBV, centered by its moving average, crosses above zero while the fast EMA is above the slow EMA. The source allows…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This trend-following strategy applies a Fisher Transform to the midpoint of each bar, normalized over a configurable lookback using recent highs and lows. The calculation is smoothed and bounded before transformation. It opens a long position when the…

KryptoFuturesTrendfølgningTekniske indikatorer
Strategy library

This educational moving-average strategy uses separate EMA crossover settings for entries and exits. It opens a long position after the entry crossover persists for a configured observation period, sizing the purchase as a fraction of available cash. While…

KryptoSpotmarkederTrendfølgningTekniske indikatorer
Strategy library

This strategy combines Bollinger Bands and Keltner Channels to identify volatility compression and subsequent breakouts. The visible script configures both indicators with 20-period lengths, uses standard deviation for the Bollinger Bands and ATR for the…

KursgennembrudVolatilitetTekniske indikatorerRisikostyring
Strategy library

This market-making bot adjusts its orders according to the relative value of its coin inventory and cash balance. It values inventory using prices offset from the best ask and bid by a configured percentage spread. When coin value is high relative to cash,…

Market makingOrdreudførelseMarkedsmikrostrukturKrypto
Strategy library

This Bitcoin futures strategy uses 9-period and 21-period exponential moving averages to signal trend changes. It enters long when the shorter average crosses above the longer one and short on the reverse crossover. The stop is placed at the recent…

KryptoFuturesTrendfølgningTekniske indikatorer