This strategy combines the CMF Momentum indicator and 200-day EMA to construct trading signals.
Specifically, CMF Momentum reflects the rate of change in money flow. Upcrossing 0 is the buy signal, and downcrossing 0 is the sell signal. Meanwhile, only long above 200-day EMA, and only short below it.
The stop loss is set at 2 times ATR. Take profit is 2 times stop loss, achieving a 2:1 profit/loss ratio.
The advantage of this strategy is using CMF Momentum to judge fund flow direction combined with EMA for the major trend. The profit/loss ratio helps obtain steady gains. But due to lagging indicators, entry timing cannot be optimal.
Overall, the CMF Momentum breakout moving average strategy works better when trends are clear. But attention is still needed on timing of signal entries in live trading to avoid unnecessary losses.
/*backtest
start: 2023-08-11 00:00:00
end: 2023-09-10 00:00:00
period: 45m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// ***************************************************
// CMF Velocity with 200 EMA Strategy
// CMF Velocity Indicator by TheSadRhinoInvesting
// Author: TheSadRhinoInvesting, v1.0, 2021.05.16
// INITIAL RELEASE
// ***************************************************
//@version=4
strategy("CMF Velocity with 200EMA Strategy")
// ***************************************************
// Strategy & Rules
// ***************************************************
// This strategy is a demonstration of my new Indicator: CMF Velocity
// CMF Velocity: https://www.tradingview.com/script/zsTl96Gd-CMF-Velocity/
// The strategy works best in a strongly trending market
// === Indicators ===
// EMA
// @ 200
// CMF Velocity
// @ 11, 7
// ATR
// @ 10
// === Rules ===
// long only
// - price above EMA200
// short only
// - price below EMA200
// Stop Loss = 2x ATR
// Profit = 2x SL/risk (Profit Ratio x Max Loss)
// === Entries ===
// LONG
// - long entry (Typical):
// - CMF Velocity crosses above 0
// SHORT
// - short entry (Typical):
// - CMF Velocity crosses below 0
// ***************************************************
// Backtest Parameters
// ***************************************************
testStartYear = input(2021, "Backtest Start Year")
testStartMonth = input(5, "Backtest Start Month")
testStartDay = input(2, "Backtest Start Day")
testStartHour = input(0, "Backtest Start Hour")
testPeriodStart = timestamp(testStartYear, testStartMonth, testStartDay, testStartHour, 0)
testEndYear = input(2021, "Backtest End Year")
testEndMonth = input(5, "Backtest End Month")
testEndDay = input(16, "Backtest End Day")
testEndHour = input(0, "Backtest End Hour")
testPeriodEnd = timestamp(testEndYear, testEndMonth, testEndDay, testEndHour, 0)
timeBacktesting = true
direction = input(0, title = "Strategy Direction", type=input.integer, minval=-1, maxval=1)
strategy.risk.allow_entry_in(direction == 0 ? strategy.direction.all : (direction < 0 ? strategy.direction.short : strategy.direction.long))
// ***************************************************
// Inputs
// ***************************************************
// Profit/Loss Ratio
pLRatioMultiplier = input(2, title="Profit/Loss Multiplier", step=0.1, minval=0.1)
// EMA Period
emaPeriod = input(200, title="EMA Period", step=1, minval=1)
// ATR Multiplier
atrMultiplier = input(2, title="ATR Multiplier", step=0.1, minval=0.1)
// ATR Period
atrPeriod = input(10, title="ATR Period", step=1, minval=1)
// CMF Period
cmfPeriod = input(11, title="CMF Period", step=1, minval=1)
// CMF Velocity Period
cmfVelocityPeriod = input(7, title="CMF Velocity Period", step=1, minval=1)
// ***************************************************
// Indicator Functions
// ***************************************************
// CMF Function
cmf(period) =>
moneyFlowMultiplier = (((close - low) - (high - close)) / (high - low)) * volume
notNaMoneyFlowMultiplier = na(moneyFlowMultiplier) ? 0 : moneyFlowMultiplier
moneyFlowAverage = sma(notNaMoneyFlowMultiplier, period)
volumeAverage = sma(volume, period)
moneyFlowAverage / volumeAverage
// CMF Velocity Function
cmfVelocity(cmf, period) =>
difference = change(cmf)
sma(difference, period)
// ***************************************************
// Indicator Calculation and Plotting
// ***************************************************
cmfSeries = cmf(cmfPeriod)
cmfVelocitySeries = cmfVelocity(cmfSeries, cmfVelocityPeriod)
atrSeries = atr(atrPeriod)
triggerEMA = ema(close, emaPeriod)
plot(triggerEMA)
// ***************************************************
// Strategy Execution
// ***************************************************
if (crossover(cmfVelocitySeries, 0.0) and triggerEMA < close and timeBacktesting)
stopOffset = atrSeries * atrMultiplier
profitOffset = stopOffset * pLRatioMultiplier
stopLoss = close - stopOffset
takeProfit = close + profitOffset
strategy.entry("Long Entry", true)
strategy.exit("Exit", "Long Entry", stop=stopLoss, limit=takeProfit)
if (crossunder(cmfVelocitySeries, 0.0) and triggerEMA > close and timeBacktesting)
stopOffset = atrSeries * atrMultiplier
profitOffset = stopOffset * pLRatioMultiplier
stopLoss = close + stopOffset
takeProfit = close - profitOffset
strategy.entry("Short Entry", false)
strategy.exit("Exit", "Short Entry", stop=stopLoss, limit=takeProfit)