本策略基于技术分析大师John Ehlers设计的费雪转换指标,实现自动识别价格趋势反转点,进行长短仓自动交易。其最大优势在于识别价格反转的准确性和及时性。
本策略使用费雪转换公式进行价格标准化,生成近似高斯分布的价格序列。费雪转换公式为:y = 0.5 * ln((1+x)/(1-x))。通过此转换,可以将价格极值转换为相对更为罕见的事件。当最新费雪转换值高于或低于前一期时,表示可能出现价格反转。本策略即根据该指标的转折点来发出交易信号。
具体来说,策略步骤如下:
本策略最大的优势在于其交易信号的准确性和及时性。由于费雪转换产生的价格序列近似符合高斯分布,价格出现反转时,费雪转换指标能够快速识别并做出相应反应。这能确保及时抓住反转机会。此外,Ehlers费雪转换指标本身也经过长期验证,反转信号的准确性也非常可靠。
本策略最大的风险在于费雪转换后的价格序列不一定完全符合理论上的高斯分布。当市场出现异常波动时,如断层、跳空等情况,会导致费雪转换指标发出错误信号。此时如果仍机械交易,可能造成较大损失。
为降低此风险,可以考虑结合其它指标进行交易信号过滤,避免在市场异常时仍然交易。或者可以适当调整参数,缩小交易频率和单笔盈亏规模。
本策略可以从以下几个方面进行优化:
本策略基于Ehlers设计的费雪转换指标,能够快速准确地识别价格反转点,从而及时抓住交易机会。它最大的优势在于交易信号的准确及时。同时也存在一定风险,需要对参数及交易规则进行优化,降低风险。总的来说,本策略值得进一步研究和应用。
/*backtest
start: 2023-12-08 00:00:00
end: 2024-01-07 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version = 2
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 15/12/2016
// Market prices do not have a Gaussian probability density function
// as many traders think. Their probability curve is not bell-shaped.
// But trader can create a nearly Gaussian PDF for prices by normalizing
// them or creating a normalized indicator such as the relative strength
// index and applying the Fisher transform. Such a transformed output
// creates the peak swings as relatively rare events.
// Fisher transform formula is: y = 0.5 * ln ((1+x)/(1-x))
// The sharp turning points of these peak swings clearly and unambiguously
// identify price reversals in a timely manner.
//
// You can change long to short in the Input Settings
// Please, use it only for learning or paper trading. Do not for real trading.
////////////////////////////////////////////////////////////
strategy(title="Fisher Transform Indicator by Ehlers Backtest", shorttitle="Fisher Transform Indicator by Ehlers")
Length = input(10, minval=1)
reverse = input(false, title="Trade reverse")
xHL2 = hl2
xMaxH = highest(xHL2, Length)
xMinL = lowest(xHL2,Length)
nValue1 = 0.33 * 2 * ((xHL2 - xMinL) / (xMaxH - xMinL) - 0.5) + 0.67 * nz(nValue1[1])
nValue2 = iff(nValue1 > .99, .999,
iff(nValue1 < -.99, -.999, nValue1))
nFish = 0.5 * log((1 + nValue2) / (1 - nValue2)) + 0.5 * nz(nFish[1])
pos = iff(nFish > nz(nFish[1]), 1,
iff(nFish < nz(nFish[1]), -1, nz(pos[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)
barcolor(possig == -1 ? red: possig == 1 ? green : blue )
plot(nFish, color=green, title="Fisher")
plot(nz(nFish[1]), color=red, title="Trigger")