Kifier's Hidden MFI/STOCH Divergence/Trend Breaker Trading Strategy
Author: ChaoZhang, Date: 2023-12-19 15:18:09Tags:
Overview
This is a universal trading strategy designed for the crypto market, aiming to find good entry opportunities when being bullish on cryptos for mid-to-long term holding. It combines various technical indicators like MFI, STOCH, VWMA to identify potential trend reversal based on hidden divergence.
Trading Logic
The strategy has two entry logics:
-
MFI hidden divergence + STOCH filter: When there’s a hidden divergence between price and MFI, i.e. price reaches new high but MFI does not, it indicates a potential trend reversal. To avoid false signals, we add STOCH>50% as a further filter.
-
STOCH/MFI trend system: When STOCH>50% and MFI crosses above 50, it signals an uptrend in action. We can ride the trend for better risk-adjusted returns.
To ensure the accuracy of trend detection, a trend system comprised of VWMA and SMA is constructed. Entries are only allowed when VWMA crosses over SMA, confirming an upward trend. Besides, OBV is used to check if the overall market is active or ranging. This further filters out some false signals.
ATR is used to determine if the market is ranging. We prefer to take entries on hidden divergence during range-bound markets. The stop loss is set based on recent support levels. Take profit exits when certain percentage of profits is reached based on entry price.
Advantage Analysis
The strategies combines various indicators to filter out market noise and avoid false signals. The hidden divergence system provides high-probability entries with controlled risk during ranging and corrective markets. The STOCH/MFI trend system generates additional profits when a clear trend establishes. Reasonable TP and SL settings prevent chasing momentum and stop hunts. The strategy suits the highly volatile crypto market very well for solid risk-adjusted returns.
Risk Analysis
The major risk is that hidden divergence does not always lead to an immediate reversal as it merely suggests shifting market sentiment. Noisy STOCH and other signals may result from bad parameter tuning. Overly tight TP/SL levels can also lead to excessive exits and re-entries, dragging down net profits.
We tackle these issues via additional trend and market condition filters, more tolerant TP/SL levels, etc. Still significant losses may occur in case of major black swan events or a failure to cut loss in time.
Optimization Directions
There remains room for improving this strategy:
-
Optimize MFI/STOCH parameters for better hidden divergence accuracy
-
Add ML models to determine market conditions and fine-tune parameters
-
Test dynamic TP/SL to balance profitability and risk control
-
Check cross-asset differences and set personalized parameters
-
Add stock selection filters for better quality picks
These efforts can potentially enhance the stability and profitability further.
Conclusion
This is a very practical crypto trading strategy. It judiciously applies various technical indicators to determine market conditions and delivers solid risk-adjusted profits. The main caveat is hidden divergence does not always precisely predict immediate reversals. We handle this issue via a sequence of filters. There remains room for boosting stability and returns. It offers fruitful ideas for quants to harvest consistent gains in the crypto space.
/*backtest
start: 2023-11-18 00:00:00
end: 2023-12-18 00:00:00
period: 1h
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/
// © kifier
//@version=4
strategy("Kifier's MFI/STOCH Hidden Divergence/Trend Beater", shorttitle = "Kifier's MFI/STOCH", overlay=false, margin_long=100, margin_short=100, default_qty_type = strategy.percent_of_equity, default_qty_value = 95, max_boxes_count = 500)
//Values
enb_date = input(false ,"Enable Date Range?", type = input.bool, inline = "1")
enb_current = input(true ,"Today as End Date" , type = input.bool, inline = "1")
i_start_date = input(timestamp("01 Jan 2021 00:00 +0300") ,"Start Date" , type=input.time)
i_end_date = input(timestamp("16 July 2021 00:00 +0300") ,"End Date" , type=input.time)
time_check = true
i_vwma_length = input(50, "VWMA Length" ,type = input.integer, group = "Indicator Settings", inline = "2")
i_sma_length = input(50, "SMA Length" ,type = input.integer, group = "Indicator Settings", inline = "2")
i_stoch_length = input(28, "Stoch Length" ,type = input.integer, group = "Indicator Settings", inline = "3")
i_mfi_length = input(7 , "MFI Length" ,type = input.integer, group = "Indicator Settings", inline = "3")
i_obv_length = input(100, "OBV Length" ,type = input.integer, group = "Indicator Settings")
i_atr_len = input(100, "ATR Ranging-trend len" ,type = input.integer, group = "Indicator Settings", tooltip = "This is the length of the ATR Emas that check when the market in a general trend or is just ranging")
i_div_price = input(5 ,"Price Divergant Pivots" ,type = input.integer, group = "Divergance Settings")
i_inacc = input(0.05 ,"Price Inaccuracy" ,type = input.float , group = "Divergance Settings")
i_div_length = input(3 ,"Divergance Valid Period" ,type = input.integer, group = "Divergance Settings")
i_mfi_left = input(5 ,"MFI Left/Right Pivots" ,type = input.integer, group = "Divergance Settings", inline = "4")
i_mfi_right = input(2 ,"" ,type = input.integer, group = "Divergance Settings", inline = "4")
tp_percentage = input(10 , "TP Percentage" ,type = input.float , group = "Exit Settings")/100
_inacc = input(0.03, "Support Inaccuracy" ,type = input.float, step = 0.01, group = "Exit Settings")
enb_stoch_mfi = input(true, "Use Stoch/MFI Trend" , type = input.bool, group = "Individual Entries")
enb_stoch_mfi_div = input(true, "Use Stoch/MFI Divergance ", type = input.bool, group = "Individual Entries")
c_mfi = input(color.yellow ,"MFI/STOCH Colour " , type = input.color, group = "Indicator Colours", inline = "os")
c_stoch = input(color.silver ,"" , type = input.color, group = "Indicator Colours", inline = "os")
c_buy = input(color.green ,"Buy/Sell Colour " , type = input.color, group = "Indicator Colours", inline = "pos")
c_sell = input(color.red ,"" , type = input.color, group = "Indicator Colours", inline = "pos")
c_flat = input(color.blue ,"Flat/Trending Colours" , type = input.color, group = "Indicator Colours", inline = "trend")
c_longtrend = input(color.green ,"" , type = input.color, group = "Indicator Colours", inline = "trend")
//Global Variables
var float tpprice = na
f_c_gradientAdvDec(_source, _center, _c_bear, _c_bull) =>
var float _maxAdvDec = 0.
var float _qtyAdvDec = 0.
bool _xUp = crossover(_source, _center)
bool _xDn = crossunder(_source, _center)
float _chg = change(_source)
bool _up = _chg > 0
bool _dn = _chg < 0
bool _srcBull = _source > _center
bool _srcBear = _source < _center
_qtyAdvDec :=
_srcBull ? _xUp ? 1 : _up ? _qtyAdvDec + 1 : _dn ? max(1, _qtyAdvDec - 1) : _qtyAdvDec :
_srcBear ? _xDn ? 1 : _dn ? _qtyAdvDec + 1 : _up ? max(1, _qtyAdvDec - 1) : _qtyAdvDec : _qtyAdvDec
_maxAdvDec := max(_maxAdvDec, _qtyAdvDec)
float _transp = 100 - (_qtyAdvDec * 100 / _maxAdvDec)
var color _return = na
_return := _srcBull ? color.new(_c_bull, _transp) : _srcBear ? color.new(_c_bear, _transp) : _return
//Simple Sup/Res
var float _pH = na
var float _pL = na
_ph = pivothigh(high,20,20)
_pl = pivotlow(low,20,20)
_high_inacc = _inacc * high
_low_inacc = _inacc * low
if _ph
_pH := high
if (high-_high_inacc) > _pH and _ph
_pH := high
_pH := nz(_pH)
if _pl
_pL := low
if (low+_low_inacc) < _pL[1]
_pL := low
_pL := nz(_pL)
broke_res = iff(crossover(close, _pH), true, false)
//Indicator Initialisation
s_stoch = stoch(close, high, low, i_stoch_length)
s_vwma = vwma(close,i_vwma_length)
s_sma = sma(close,i_sma_length)
//MONEY FLOW + BBW
atr1 =ema((atr(14)/close),i_atr_len/2)
atr2 =ema((atr(14)/close), i_atr_len)
is_ranging = iff(atr1 < atr2, true, false)
s_mfi = mfi(close,i_mfi_length)
overTop = iff(s_mfi >= 90, true, false)
underBot = iff(s_mfi <= 10, true, false)
//Price Divergance
ph = pivothigh(high, i_div_price,i_div_price)
pl = pivotlow(low,i_div_price,i_div_price)
var float pH = 0.0
var float pL = 0.0
high_acc = high * (i_inacc)
low_acc = low * i_inacc
if (high-high_acc) > pH or (high+high_acc < pH) and ph
pH := high
pH := nz(pH)
if (low+low_acc) < pL or (low-low_acc > pL) and pl
pL := low
pL := nz(pL)
higher_low = false
lower_low = false
//Filter out innacurate
if ph or pl
if pL < pL[1]
lower_low := true
if pL > pL[1]
higher_low := true
//MFI Divergance
mh = pivothigh(s_mfi, i_mfi_left,i_mfi_right)
ml = pivotlow(s_mfi, i_mfi_left,i_mfi_right)
bl = bar_index
var float mH = 0.0
var float mL = 0.0
var int bL = 0
if mh
mH := highest(nz(mh),i_mfi_left)
mH := nz(mH)
if ml
bL := bar_index
mL := ml
mL := nz(mL)
higher_low_m = false
lower_low_m = false
if ml
if mL < mL[1]
lower_low_m := true
if mL > mL[1]
higher_low_m := true
//Combintion
var int price_range = na
var int rsi_range = na
var int mfi_range = na
//Higher low on price, lower low on rsi, then check with stoch
mfi_div_bullish = iff(higher_low and higher_low_m, true, false)
if mfi_div_bullish
price_range := 0
rsi_range := 0
//VWMA/SMA/OBV
_src = s_vwma-s_sma
sd_src = stdev(_src,14)
pooled_src = (_src/sd_src)*2
sd_s_vwma = stdev(s_vwma,14)
sd_s_sma = stdev(s_sma,14)
longTrend = obv > ema(obv,100) and is_ranging == false
crossOver = crossover(s_vwma , s_sma)
crossingOver = (s_vwma > s_sma) and (close >= s_vwma)
crossUnder = crossunder(s_vwma, s_sma)
crossingUnder = (s_vwma < s_sma) and (close <= s_vwma)
hist_color = f_c_gradientAdvDec(s_vwma-s_sma, (s_vwma-s_sma)/2, color.new(c_sell,90), color.new(c_buy,80))
//Strategy Entries
mfi_stoch_trend = iff(enb_stoch_mfi, iff(s_stoch >= 50 and crossover(s_mfi, 50) and crossingOver and longTrend and is_ranging == false, true, false), false)
var buy_counter_rsi = 0
var buy_counter_mfi = 0
mfi_div = iff(enb_stoch_mfi_div, iff(mfi_div_bullish and crossingOver and s_stoch >= 50 and is_ranging, true, false), false)
if mfi_div
buy_counter_mfi := bar_index + 5
mfi_divergent_buy = iff(bar_index <= buy_counter_mfi and strategy.position_size == 0, true, false)
//Strategy Entries
order_fired = false
var float previousRes = 0.0
tpprice := strategy.position_avg_price * (1+tp_percentage)
if time_check
if mfi_stoch_trend
strategy.entry("Buy", true, comment = "[B] STOCH/MFI")
order_fired := true
if mfi_divergent_buy
strategy.entry("Buy", true, comment = "[B] MFI Hidden Divergance")
order_fired := true
if order_fired
previousRes := _pL
if strategy.position_size > 0
strategy.exit("Buy", limit = tpprice, comment = "TP")
if close <= previousRes
strategy.exit("Buy", stop = previousRes, comment = "SL")
//Drawings
hline(0, "Base", color.white)
hline(100, "Max", color.white)
p_stoch = plot(s_stoch, color = c_stoch)
p_mfi = plot(s_mfi, color = c_mfi)
hline(70, "Top Line")
p_mid = plot(50, "Mid Line", color.new(color.white,100))
hline(50, "Mid Line")
hline(30, "Bot Line")
fill(p_stoch, p_mid, color.new(c_stoch, 60))
plotshape(crossOver ? 5 : crossUnder ? -5 : na, style = shape.square, color = crossOver ? c_buy : crossUnder ? c_sell : na, size = size.tiny, location = location.absolute)
plot((_src/sd_src)*2, color = hist_color, style = plot.style_histogram)
//Boxes
// var string same = ""
// var box _box = na
// if longTrend and is_ranging == false and same != "longtrend"
// same := "longtrend"
// _box := box.new(bar_index, 105, bar_index, 100, bgcolor = c_longtrend,border_color = color.new(color.white, 100))
// else if is_ranging and same != "isranging"
// same := "isranging"
// _box := box.new(bar_index, 105, bar_index, 100, bgcolor = c_flat,border_color = color.new(color.white, 100))
// if not na(_box)
// box.set_right(_box,bar_index)
// //Div Lines
// var line _line = na
// if mfi_divergent_buy
// _line = line.new(bL[1] -6, s_mfi[bar_index-bL[1]], bar_index + 6, s_mfi, color = color.green, width = 3)
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