Esta é uma estratégia de rastreamento de tendências que combina dois sinais de reversão.
A estratégia consiste em duas sub-estratégias:
123 Estratégia de reversão
Use a linha K de 14 dias para julgar sinais de reversão.
Estratégia do índice de desempenho
Calcular a percentagem de aumento/diminuição nos últimos 14 dias como indicador.
O sinal final é uma combinação de ambos os sinais, ou seja, são necessários sinais de alta/baixa na mesma direção para gerar operações reais de compra/venda.
Isso pode filtrar algum ruído e tornar os sinais mais confiáveis.
Este sistema de inversão dupla tem as seguintes vantagens:
A estratégia apresenta também alguns riscos:
Os seguintes aspectos podem ser considerados para otimização:
A estratégia integra julgamentos de reversão dupla para descobrir efetivamente pontos de inflexão de preços. Embora a probabilidade de ocorrência do sinal diminua, a confiabilidade é maior, adequada para capturar tendências de médio e longo prazo.
/*backtest start: 2023-11-12 00:00:00 end: 2023-12-12 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=4 //////////////////////////////////////////////////////////// // Copyright by HPotter v1.0 15/04/2021 // This is combo strategies for get a cumulative signal. // // First strategy // This System was created from the Book "How I Tripled My Money In The // Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. // The strategy buys at market, if close price is higher than the previous close // during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. // The strategy sells at market, if close price is lower than the previous close price // during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. // // Second strategy // The Performance indicator or a more familiar term, KPI (key performance indicator), // is an industry term that measures the performance. Generally used by organizations, // they determine whether the company is successful or not, and the degree of success. // It is used on a business’ different levels, to quantify the progress or regress of a // department, of an employee or even of a certain program or activity. For a manager // it’s extremely important to determine which KPIs are relevant for his activity, and // what is important almost always depends on which department he wants to measure the // performance for. So the indicators set for the financial team will be different than // the ones for the marketing department and so on. // // Similar to the KPIs companies use to measure their performance on a monthly, quarterly // and yearly basis, the stock market makes use of a performance indicator as well, although // on the market, the performance index is calculated on a daily basis. The stock market // performance indicates the direction of the stock market as a whole, or of a specific stock // and gives traders an overall impression over the future security prices, helping them decide // the best move. A change in the indicator gives information about future trends a stock could // adopt, information about a sector or even on the whole economy. The financial sector is the // most relevant department of the economy and the indicators provide information on its overall // health, so when a stock price moves upwards, the indicators are a signal of good news. On the // other hand, if the price of a particular stock decreases, that is because bad news about its // performance are out and they generate negative signals to the market, causing the price to go // downwards. One could state that the movement of the security prices and consequently, the movement // of the indicators are an overall evaluation of a country’s economic trend. // // WARNING: // - For purpose educate only // - This script to change bars colors. //////////////////////////////////////////////////////////// Reversal123(Length, KSmoothing, DLength, Level) => vFast = sma(stoch(close, high, low, Length), KSmoothing) vSlow = sma(vFast, DLength) pos = 0.0 pos := iff(close[2] < close[1] and close > close[1] and vFast < vSlow and vFast > Level, 1, iff(close[2] > close[1] and close < close[1] and vFast > vSlow and vFast < Level, -1, nz(pos[1], 0))) pos PI(Period) => pos = 0.0 xKPI = (close - close[Period]) * 100 / close[Period] pos := iff(xKPI > 0, 1, iff(xKPI < 0, -1, nz(pos[1], 0))) pos strategy(title="Combo Backtest 123 Reversal & Perfomance index", shorttitle="Combo", overlay = true) line1 = input(true, "---- 123 Reversal ----") Length = input(14, minval=1) KSmoothing = input(1, minval=1) DLength = input(3, minval=1) Level = input(50, minval=1) //------------------------- line2 = input(true, "---- Perfomance index ----") Period = input(14, minval=1) reverse = input(false, title="Trade reverse") posReversal123 = Reversal123(Length, KSmoothing, DLength, Level) posPI = PI(Period) pos = iff(posReversal123 == 1 and posPI == 1 , 1, iff(posReversal123 == -1 and posPI == -1, -1, 0)) possig = iff(reverse and pos == 1, -1, iff(reverse and pos == -1 , 1, pos)) if (possig == 1 ) strategy.entry("Long", strategy.long) if (possig == -1 ) strategy.entry("Short", strategy.short) if (possig == 0) strategy.close_all() barcolor(possig == -1 ? #b50404: possig == 1 ? #079605 : #0536b3 )