该策略综合运用三个开源公共指标——趋势魔术指标、压缩动量指标和累积增量成交量指标,以发掘市场中的剧烈变动。这三个指标相互验证,可以有效识别市场反转点。本策略试图在这三个指标同时发出买入/卖出信号时开仓,实现低风险的动量反转交易。
本策略使用1分钟或3分钟K线,设置止损为收盘价的1.5倍ATR。
首先,趋势魔术指标结合ATR指标判断市场趋势和波动性。CCI指标大于0表示正在发生波动,此时若ATR指标的位置高于价格表示向上趋势,反之则表示向下趋势。
其次,压缩动量指标判断波动加剧和缩减的时机。当布林带收缩在基尔特通道内时表示市场波动度降低,这种压缩状态持续一段时间后,布林带必然会突破基尔特通道,引发价格的剧烈涨跌。
最后,累积增量成交量指标通过计算买卖双方成交量差异推断市场力量。成交量以买方为多方时,表示多头力量增强。
当三个指标同时发出信号时,证实市场正处于反转点附近,这时开仓做反向操作。
该策略综合运用多个指标判断市场走势,在多个指标发出一致信号时开仓交易。相较单一指标,能够过滤掉更多假信号。但由于仅在一个时间周期操作,在趋势行情中仍易被套牢。下一步可通过引入机器学习等更高级技术提升效果,或结合更长时间周期指标避免逆势操作,使策略在更多市场中适用。
/*backtest
start: 2023-09-25 00:00:00
end: 2023-10-25 00:00:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © myn
//@version=5
strategy('Strategy Myth-Busting #11 - TrendMagic+SqzMom+CDV - [MYN]', max_bars_back=5000, overlay=true, pyramiding=0, initial_capital=1000, currency='USD', default_qty_type=strategy.percent_of_equity, default_qty_value=1, commission_value=0.075, use_bar_magnifier = false)
// HA to Regular Candlestick resolover
useHA = input.bool(true, "Use Heiken Ashi")
CLOSE = close
OPEN = open
HIGH = high
LOW = low
CLOSE := useHA ? (OPEN + CLOSE + HIGH + LOW) / 4 : CLOSE
OPEN := useHA ? na(OPEN[1]) ? (OPEN + CLOSE) / 2: (OPEN[1] + CLOSE[1]) / 2 : OPEN
HIGH := useHA ? math.max(HIGH, math.max(OPEN, CLOSE)) : HIGH
LOW := useHA ? math.min(LOW, math.min(OPEN, CLOSE)) : LOW
isCrypto = input.bool(true, "Is Crypto?")
// Functions
f_priorBarsSatisfied(_objectToEval, _numOfBarsToLookBack) =>
returnVal = false
for i = 0 to _numOfBarsToLookBack
if (_objectToEval[i] == true)
returnVal = true
/////////////////////////////////////
//* Put your strategy logic below *//
/////////////////////////////////////
// Trend Magic by KivancOzbilgic
//░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
period = input(20, 'CCI period')
coeff = input(2, 'ATR Multiplier')
AP = input(5, 'ATR Period')
ATR = ta.sma(ta.tr, AP)
src = CLOSE
upT = LOW - ATR * coeff
downT = HIGH + ATR * coeff
MagicTrend = 0.0
MagicTrend := ta.cci(src, period) >= 0 ? upT < nz(MagicTrend[1]) ? nz(MagicTrend[1]) : upT : downT > nz(MagicTrend[1]) ? nz(MagicTrend[1]) : downT
color1 = ta.cci(src, period) >= 0 ? #0022FC : #FC0400
plot(MagicTrend, color=color1, linewidth=3)
alertcondition(ta.cross(CLOSE, MagicTrend), title='Cross Alert', message='Price - MagicTrend Crossing!')
alertcondition(ta.crossover(LOW, MagicTrend), title='CrossOver Alarm', message='BUY SIGNAL!')
alertcondition(ta.crossunder(HIGH, MagicTrend), title='CrossUnder Alarm', message='SELL SIGNAL!')
i_numLookbackBarsTM = input(17,title="Number of bars to look back to validate Trend Magic trend")
//trendMagicEntryLong = trendMagicEntryConditionLong and f_priorBarsSatisfied(trendMagicEntryConditionLong,i_numLookbackBarsTM)
//trendMagicEntryShort = trendMagicEntryConditionShort and f_priorBarsSatisfied(trendMagicEntryConditionShort,i_numLookbackBarsTM)
trendMagicEntryConditionLong = ta.cci(src, period) >= 0 and src > MagicTrend + (isCrypto ? 5 : 0 )
trendMagicEntryConditionShort = ta.cci(src, period) < 0 and src < MagicTrend - (isCrypto ? 5 : 0)
trendMagicEntryLong = trendMagicEntryConditionLong and ta.barssince(trendMagicEntryConditionShort) > i_numLookbackBarsTM
trendMagicEntryShort = trendMagicEntryConditionShort and ta.barssince(trendMagicEntryConditionLong) > i_numLookbackBarsTM
// Squeeze Momentum by LazyBear
//░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
length = input(10, title='BB Length', group="Squeeze Momentum")
mult = input(2.0, title='BB MultFactor')
lengthKC = input(10, title='KC Length')
multKC = input(1.5, title='KC MultFactor')
useTrueRange = input(true, title='Use TrueRange (KC)')
// Calculate BB
source = CLOSE
basis = ta.sma(source, length)
dev = multKC * ta.stdev(source, length)
upperBB = basis + dev
lowerBB = basis - dev
// Calculate KC
ma = ta.sma(source, lengthKC)
range_1 = useTrueRange ? ta.tr : HIGH - LOW
rangema = ta.sma(range_1, lengthKC)
upperKC = ma + rangema * multKC
lowerKC = ma - rangema * multKC
sqzOn = lowerBB > lowerKC and upperBB < upperKC
sqzOff = lowerBB < lowerKC and upperBB > upperKC
noSqz = sqzOn == false and sqzOff == false
val = ta.linreg(source - math.avg(math.avg(ta.highest(HIGH, lengthKC), ta.lowest(LOW, lengthKC)), ta.sma(CLOSE, lengthKC)), lengthKC, 0)
iff_1 = val > nz(val[1]) ? color.lime : color.green
iff_2 = val < nz(val[1]) ? color.red : color.maroon
bcolor = val > 0 ? iff_1 : iff_2
scolor = noSqz ? color.blue : sqzOn ? color.black : color.gray
//plot(val, color=bcolor, style=plot.style_histogram, linewidth=4)
//plot(0, color=scolor, style=plot.style_cross, linewidth=2)
i_numLookbackBarsSM = input(14,title="Number of bars to look back to validate Sqz Mom trend")
//sqzmomEntryLong = val > 0 and f_priorBarsSatisfied(val > 0,i_numLookbackBarsSM)
//sqzmomEntryShort = val < 0 and f_priorBarsSatisfied(val < 0,i_numLookbackBarsSM)
sqzmomEntryConditionLong = val > 0
sqzmomEntryConditionShort = val < 0
sqzmomEntryLong = sqzmomEntryConditionLong and ta.barssince(sqzmomEntryConditionShort) > i_numLookbackBarsSM
sqzmomEntryShort = sqzmomEntryConditionShort and ta.barssince(sqzmomEntryConditionLong) > i_numLookbackBarsSM
// Cumulative Delta Volume by LonesomeTheBlue
//░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
linestyle = input.string(defval='Candle', title='Style', options=['Candle', 'Line'], group="Cumlative Delta Volume")
hacandle = input(defval=true, title='Heikin Ashi Candles?')
showma1 = input.bool(defval=false, title='SMA 1', inline='ma1')
ma1len = input.int(defval=50, title='', minval=1, inline='ma1')
ma1col = input.color(defval=color.lime, title='', inline='ma1')
showma2 = input.bool(defval=false, title='SMA 2', inline='ma2')
ma2len = input.int(defval=200, title='', minval=1, inline='ma2')
ma2col = input.color(defval=color.red, title='', inline='ma2')
showema1 = input.bool(defval=false, title='EMA 1', inline='ema1')
ema1len = input.int(defval=50, title='', minval=1, inline='ema1')
ema1col = input.color(defval=color.lime, title='', inline='ema1')
showema2 = input.bool(defval=false, title='EMA 2', inline='ema2')
ema2len = input.int(defval=200, title='', minval=1, inline='ema2')
ema2col = input.color(defval=color.red, title='', inline='ema2')
colorup = input.color(defval=color.lime, title='Body', inline='bcol')
colordown = input.color(defval=color.red, title='', inline='bcol')
bcolup = input.color(defval=#74e05e, title='Border', inline='bocol')
bcoldown = input.color(defval=#ffad7d, title='', inline='bocol')
wcolup = input.color(defval=#b5b5b8, title='Wicks', inline='wcol')
wcoldown = input.color(defval=#b5b5b8, title='', inline='wcol')
tw = HIGH - math.max(OPEN, CLOSE)
bw = math.min(OPEN, CLOSE) - LOW
body = math.abs(CLOSE - OPEN)
_rate(cond) =>
ret = 0.5 * (tw + bw + (cond ? 2 * body : 0)) / (tw + bw + body)
ret := nz(ret) == 0 ? 0.5 : ret
ret
deltaup = volume * _rate(OPEN <= CLOSE)
deltadown = volume * _rate(OPEN > CLOSE)
delta = CLOSE >= OPEN ? deltaup : -deltadown
cumdelta = ta.cum(delta)
float ctl = na
float o = na
float h = na
float l = na
float c = na
if linestyle == 'Candle'
o := cumdelta[1]
h := math.max(cumdelta, cumdelta[1])
l := math.min(cumdelta, cumdelta[1])
c := cumdelta
ctl
else
ctl := cumdelta
ctl
plot(ctl, title='CDV Line', color=color.new(color.blue, 0), linewidth=2)
float haclose = na
float haopen = na
float hahigh = na
float halow = na
haclose := (o + h + l + c) / 4
haopen := na(haopen[1]) ? (o + c) / 2 : (haopen[1] + haclose[1]) / 2
hahigh := math.max(h, math.max(haopen, haclose))
halow := math.min(l, math.min(haopen, haclose))
c_ = hacandle ? haclose : c
o_ = hacandle ? haopen : o
h_ = hacandle ? hahigh : h
l_ = hacandle ? halow : l
//plotcandle(o_, h_, l_, c_, title='CDV Candles', color=o_ <= c_ ? colorup : colordown, bordercolor=o_ <= c_ ? bcolup : bcoldown, wickcolor=o_ <= c_ ? bcolup : bcoldown)
//plot(showma1 and linestyle == 'Candle' ? ta.sma(c_, ma1len) : na, title='SMA 1', color=ma1col)
//plot(showma2 and linestyle == 'Candle' ? ta.sma(c_, ma2len) : na, title='SMA 2', color=ma2col)
//plot(showema1 and linestyle == 'Candle' ? ta.ema(c_, ema1len) : na, title='EMA 1', color=ema1col)
//plot(showema2 and linestyle == 'Candle' ? ta.ema(c_, ema2len) : na, title='EMA 2', color=ema2col)
i_numLookbackBarsCDV = input(14,title="Number of bars to look back to validate CDV trend")
//cdvEntryLong = o_ < c_ and f_priorBarsSatisfied(o_ < c_,i_numLookbackBarsCDV)
//cdvEntryShort = o_ > c_ and f_priorBarsSatisfied(o_ > c_,i_numLookbackBarsCDV)
cdvEntryConditionLong = o_ <= c_
cdvEntryConditionShort = o_ > c_
cdvEntryLong = cdvEntryConditionLong and ta.barssince(cdvEntryConditionShort) > i_numLookbackBarsCDV
cdvEntryShort = cdvEntryConditionShort and ta.barssince(cdvEntryConditionLong) > i_numLookbackBarsCDV
//////////////////////////////////////
//* Put your strategy rules below *//
/////////////////////////////////////
longCondition = trendMagicEntryLong and sqzmomEntryLong and cdvEntryLong
shortCondition = trendMagicEntryShort and sqzmomEntryShort and cdvEntryShort
//define as 0 if do not want to use
closeLongCondition = 0
closeShortCondition = 0
// ADX
//░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
adxEnabled = input.bool(defval = false , title = "Average Directional Index (ADX)", tooltip = "", group ="ADX" )
adxlen = input(14, title="ADX Smoothing", group="ADX")
adxdilen = input(14, title="DI Length", group="ADX")
adxabove = input(25, title="ADX Threshold", group="ADX")
adxdirmov(len) =>
adxup = ta.change(HIGH)
adxdown = -ta.change(LOW)
adxplusDM = na(adxup) ? na : (adxup > adxdown and adxup > 0 ? adxup : 0)
adxminusDM = na(adxdown) ? na : (adxdown > adxup and adxdown > 0 ? adxdown : 0)
adxtruerange = ta.rma(ta.tr, len)
adxplus = fixnan(100 * ta.rma(adxplusDM, len) / adxtruerange)
adxminus = fixnan(100 * ta.rma(adxminusDM, len) / adxtruerange)
[adxplus, adxminus]
adx(adxdilen, adxlen) =>
[adxplus, adxminus] = adxdirmov(adxdilen)
adxsum = adxplus + adxminus
adx = 100 * ta.rma(math.abs(adxplus - adxminus) / (adxsum == 0 ? 1 : adxsum), adxlen)
adxsig = adxEnabled ? adx(adxdilen, adxlen) : na
isADXEnabledAndAboveThreshold = adxEnabled ? (adxsig > adxabove) : true
//Backtesting Time Period (Input.time not working as expected as of 03/30/2021. Giving odd start/end dates
//░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
useStartPeriodTime = input.bool(true, 'Start', group='Date Range', inline='Start Period')
startPeriodTime = input(timestamp('1 Jan 2019'), '', group='Date Range', inline='Start Period')
useEndPeriodTime = input.bool(true, 'End', group='Date Range', inline='End Period')
endPeriodTime = input(timestamp('31 Dec 2030'), '', group='Date Range', inline='End Period')
start = useStartPeriodTime ? startPeriodTime >= time : false
end = useEndPeriodTime ? endPeriodTime <= time : false
calcPeriod = true
// Trade Direction
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
tradeDirection = input.string('Long and Short', title='Trade Direction', options=['Long and Short', 'Long Only', 'Short Only'], group='Trade Direction')
// Percent as Points
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
per(pcnt) =>
strategy.position_size != 0 ? math.round(pcnt / 100 * strategy.position_avg_price / syminfo.mintick) : float(na)
// Take profit 1
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
tp1 = input.float(title='Take Profit 1 - Target %', defval=2, minval=0.0, step=0.5, group='Take Profit', inline='Take Profit 1')
q1 = input.int(title='% Of Position', defval=100, minval=0, group='Take Profit', inline='Take Profit 1')
// Take profit 2
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
tp2 = input.float(title='Take Profit 2 - Target %', defval=100, minval=0.0, step=0.5, group='Take Profit', inline='Take Profit 2')
q2 = input.int(title='% Of Position', defval=100, minval=0, group='Take Profit', inline='Take Profit 2')
// Take profit 3
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
tp3 = input.float(title='Take Profit 3 - Target %', defval=100, minval=0.0, step=0.5, group='Take Profit', inline='Take Profit 3')
q3 = input.int(title='% Of Position', defval=100, minval=0, group='Take Profit', inline='Take Profit 3')
// Take profit 4
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
tp4 = input.float(title='Take Profit 4 - Target %', defval=100, minval=0.0, step=0.5, group='Take Profit')
/// Stop Loss
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
stoplossPercent = input.float(title='Stop Loss (%)', defval=6, minval=0.01, group='Stop Loss') * 0.01
slLongClose = CLOSE < strategy.position_avg_price * (1 - stoplossPercent)
slShortClose = CLOSE > strategy.position_avg_price * (1 + stoplossPercent)
/// Leverage
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
leverage = input.float(1, 'Leverage', step=.5, group='Leverage')
contracts = math.min(math.max(.000001, strategy.equity / CLOSE * leverage), 1000000000)
/// Trade State Management
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
isInLongPosition = strategy.position_size > 0
isInShortPosition = strategy.position_size < 0
/// ProfitView Alert Syntax String Generation
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
alertSyntaxPrefix = input.string(defval='CRYPTANEX_99FTX_Strategy-Name-Here', title='Alert Syntax Prefix', group='ProfitView Alert Syntax')
alertSyntaxBase = alertSyntaxPrefix + '\n#' + str.tostring(OPEN) + ',' + str.tostring(HIGH) + ',' + str.tostring(LOW) + ',' + str.tostring(CLOSE) + ',' + str.tostring(volume) + ','
/// Trade Execution
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
longConditionCalc = (longCondition and isADXEnabledAndAboveThreshold)
shortConditionCalc = (shortCondition and isADXEnabledAndAboveThreshold)
if calcPeriod
if longConditionCalc and tradeDirection != 'Short Only' and isInLongPosition == false
strategy.entry('Long', strategy.long, qty=contracts)
alert(message=alertSyntaxBase + 'side:long', freq=alert.freq_once_per_bar_close)
if shortConditionCalc and tradeDirection != 'Long Only' and isInShortPosition == false
strategy.entry('Short', strategy.short, qty=contracts)
alert(message=alertSyntaxBase + 'side:short', freq=alert.freq_once_per_bar_close)
//Inspired from Multiple %% profit exits example by adolgo https://www.tradingview.com/script/kHhCik9f-Multiple-profit-exits-example/
strategy.exit('TP1', qty_percent=q1, profit=per(tp1))
strategy.exit('TP2', qty_percent=q2, profit=per(tp2))
strategy.exit('TP3', qty_percent=q3, profit=per(tp3))
strategy.exit('TP4', profit=per(tp4))
strategy.close('Long', qty_percent=100, comment='SL Long', when=slLongClose)
strategy.close('Short', qty_percent=100, comment='SL Short', when=slShortClose)
strategy.close_all(when=closeLongCondition or closeShortCondition, comment='Close Postion')
/// Dashboard
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// Inspired by https://www.tradingview.com/script/uWqKX6A2/ - Thanks VertMT
showDashboard = input.bool(group="Dashboard", title="Show Dashboard", defval=false)
f_fillCell(_table, _column, _row, _title, _value, _bgcolor, _txtcolor) =>
_cellText = _title + "\n" + _value
table.cell(_table, _column, _row, _cellText, bgcolor=_bgcolor, text_color=_txtcolor, text_size=size.auto)
// Draw dashboard table
if showDashboard
var bgcolor = color.new(color.black,0)
// Keep track of Wins/Losses streaks
newWin = (strategy.wintrades > strategy.wintrades[1]) and (strategy.losstrades == strategy.losstrades[1]) and (strategy.eventrades == strategy.eventrades[1])
newLoss = (strategy.wintrades == strategy.wintrades[1]) and (strategy.losstrades > strategy.losstrades[1]) and (strategy.eventrades == strategy.eventrades[1])
varip int winRow = 0
varip int lossRow = 0
varip int maxWinRow = 0
varip int maxLossRow = 0
if newWin
lossRow := 0
winRow := winRow + 1
if winRow > maxWinRow
maxWinRow := winRow
if newLoss
winRow := 0
lossRow := lossRow + 1
if lossRow > maxLossRow
maxLossRow := lossRow
// Prepare stats table
var table dashTable = table.new(position.bottom_right, 1, 15, border_width=1)
if barstate.islastconfirmedhistory
// Update table
dollarReturn = strategy.netprofit
f_fillCell(dashTable, 0, 0, "Start:", str.format("{0,date,long}", strategy.closedtrades.entry_time(0)) , bgcolor, color.white) // + str.format(" {0,time,HH:mm}", strategy.closedtrades.entry_time(0))
f_fillCell(dashTable, 0, 1, "End:", str.format("{0,date,long}", strategy.opentrades.entry_time(0)) , bgcolor, color.white) // + str.format(" {0,time,HH:mm}", strategy.opentrades.entry_time(0))
_profit = (strategy.netprofit / strategy.initial_capital) * 100
f_fillCell(dashTable, 0, 2, "Net Profit:", str.tostring(_profit, '##.##') + "%", _profit > 0 ? color.green : color.red, color.white)
_numOfDaysInStrategy = (strategy.opentrades.entry_time(0) - strategy.closedtrades.entry_time(0)) / (1000 * 3600 * 24)
f_fillCell(dashTable, 0, 3, "Percent Per Day", str.tostring(_profit / _numOfDaysInStrategy, '#########################.#####')+"%", _profit > 0 ? color.green : color.red, color.white)
_winRate = ( strategy.wintrades / strategy.closedtrades ) * 100
f_fillCell(dashTable, 0, 4, "Percent Profitable:", str.tostring(_winRate, '##.##') + "%", _winRate < 50 ? color.red : _winRate < 75 ? #999900 : color.green, color.white)
f_fillCell(dashTable, 0, 5, "Profit Factor:", str.tostring(strategy.grossprofit / strategy.grossloss, '##.###'), strategy.grossprofit > strategy.grossloss ? color.green : color.red, color.white)
f_fillCell(dashTable, 0, 6, "Total Trades:", str.tostring(strategy.closedtrades), bgcolor, color.white)
f_fillCell(dashTable, 0, 8, "Max Wins In A Row:", str.tostring(maxWinRow, '######') , bgcolor, color.white)
f_fillCell(dashTable, 0, 9, "Max Losses In A Row:", str.tostring(maxLossRow, '######') , bgcolor, color.white)