
This is a trend following trading strategy based on a modified volume oscillator indicator. It utilizes volume moving averages to identify increasing volume Signals and determines entries or exits. Meanwhile, it incorporates price trend judgment to avoid wrong Signals during price oscillations.
Risks can be mitigated by tuning parameters, optimizing indicator calculation, and combining other confirmations.
This strategy utilizes an improved volume oscillator with price trend to determine entries and exits with two stop loss threshold values. It is a stable trend following system with optimization space in parameter tuning, signal filtering and stop loss strategies. Overall it has practical value worth further research and optimization.
/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-31 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
strategy('Volume Advanced', default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.075, currency='USD')
startP = timestamp(input(2017, "Start Year"), input(12, "Start Month"), input(17, "Start Day"), 0, 0)
end = timestamp(input(9999, "End Year"), input(1, "End Month"), input(1, "End Day"), 0, 0)
_testPeriod() =>
iff(time >= startP and time <= end, true, false)
source = close
vol_length = input(34, title = "Volume - Length")
vol_smooth = input(200,title = "Volume - Smoothing")
volriselen = input(21, title = "Volume - Risinglength")
volfalllen = input(13, title = "Volume - Fallinglength")
threshold = input(1,"threshold")
threshold2 = input(1.2,step=0.1, title="Threshold 2")
direction = input(13,"amount of bars")
volsum = sum(volume, vol_length) / (sum(volume, vol_smooth) / (vol_smooth / vol_length))
LongEntry = (rising(volsum, volriselen) or crossover (volsum, threshold)) and close > close[direction]
ShortEntry = (rising(volsum, volriselen) or crossover (volsum, threshold)) and close < close[direction]
LongExit1 = falling (volsum,volfalllen)
ShortExit1 = falling (volsum,volfalllen)
LongExit2= (crossover(volsum, threshold2) and close < close[direction])
_state = 0
_prev = nz(_state[1])
_state := _prev
if _prev == 0
if LongEntry
_state := 1
_state
if ShortEntry
_state := 2
_state
if _prev == 1
if ShortEntry or LongExit1
_state := 0
_state
if _prev == 2
if LongEntry or ShortExit1
_state := 0
_state
_bLongEntry = _state == 1
_bLongClose = _state == 0
long_condition = _bLongEntry and close > close[direction]
strategy.entry('BUY', strategy.long, when=long_condition)
short_condition = _bLongClose or LongExit2
strategy.close('BUY', when=short_condition)
plot(volsum, color = color.green, title="Vol_Sum")
plot(threshold, color = color.fuchsia, transp=50, title="Threshold")
plot(threshold2, color=color.white, transp = 50, title="Threshold 2")