Intraday Pivot Points Trading Strategy

This is an intraday trading strategy for Indian market focusing on key support and resistance levels calculated from open, high, low and close prices of the previous trading day. Trades are taken when price breaks…

Pine ScriptBreakout Pivots / S&R

Author: ChaoZhang
Complexity: Intermediate · 135 lines
Parameters: 9
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

Strategy Logic

Calculate previous day's high, low and close prices
Calculate key support level S1, resistance level R1 and pivot point PP using formulas
Take long or short trades when price breaks through these levels
Use stop loss exits

Key point formulas:

PP = (High + Low + Close) /3
R1 = 2*PP - Low
S1 = 2*PP - High

Advantage Analysis

Key points provide high probability breakout opportunities resulting in greater profit potential
Easy to identify key points, clear trading rules
Easy to set stop loss, effectively control risks

Risk Analysis

Possible false breakouts at key points causing losses
Validity of key points needs verification, may not always work
Improper stop loss can increase losses

Risk Mitigations:

Combine with other indicators to filter false breakouts
Backtest over long timeframes to validate strategy
Optimize stop loss placement

Improvement Opportunities

Combine other technical indicators to filter false signals
Parameter tuning for different products
Dynamic stop loss adjustment

Conclusion

Overall this is a simple and straightforward strategy which can be easily validated with historical data. As an intraday strategy, it provides high probability breakout opportunities at key levels resulting in good performance. But there are some false breakout risks relying on pivot points that need further optimization. In summary, this is an easy to implement, controllable risk intraday trading strategy.

Parameters

Name	Default	What it controls
v_input_1	false	Show previous day's High & Low(PDH/PDL)
v_input_2	true	Show Pivot Point(PP)
v_input_3	false	Show Pivot Point Resistance (R1)
v_input_4	false	Show Pivot Point Support (S1)
v_input_5	true	Trade on Long Entry
v_input_6	false	Trade on Short Entry
v_input_7	0.5	Max Loss on one Trade
v_input_8	0	Trade base Level: PP \| PDH \| PDL \| R1 \| S1
v_input_9	0915-1530	Session time

Source Pine Script

/*backtest
start: 2022-11-30 00:00:00
end: 2023-12-06 00:00:00
period: 1d
basePeriod: 1h
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/
// © arameshraju
//Reference credit goes to All


//@version=4
strategy("ARR-Pivote-India-Stategy",shorttitle="ARR-PP-Ind", overlay=true)

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © arameshraju
//User Input
showPrevDayHighLow = input(false, title="Show previous day's High & Low(PDH/PDL)", type=input.bool)
showPivoteLine = input(true, title="Show Pivot Point(PP)", type=input.bool)
showPivoteR1Line = input(false, title="Show Pivot Point Resistance (R1)", type=input.bool)
showPivoteS1Line = input(false, title="Show Pivot Point Support (S1)", type=input.bool)
tradeLong = input(true, title="Trade on Long Entry", type=input.bool)
tradeShort = input(false, title="Trade on Short Entry", type=input.bool)
maxLoss = input(0.5, title="Max Loss on one Trade", type=input.float)
tradeOn=input(title="Trade base Level", type=input.string,
     options=["PP", "PDH", "PDL","R1","S1"], defval="PP")

sessSpec = input("0915-1530", title="Session time", type=input.session)

// Defaults
// Colors
cColor = color.black
rColor = color.red
sColor = color.green

// Line style & Transparency
lStyle = plot.style_line
lTransp = 35

// Get High & Low
getSeries(_e, _timeFrame) => security(syminfo.tickerid, _timeFrame, _e, lookahead=barmerge.lookahead_on) 

is_newbar(res, sess) =>
    t = time(res, sess)
    na(t[1]) and not na(t) or t[1] < t

newbar = is_newbar("375", sessSpec)
// Today's Session Start timestamp
y = year(timenow)
m = month(timenow)
d = dayofmonth(timenow)

// Start & End time for Today
start = timestamp(y, m, d, 09, 15)
end = start + 86400000


PrevDayHigh = getSeries(high[1], 'D')
PrevDayLow = getSeries(low[1], 'D')
PrevDayClose = getSeries(close[1], 'D')

PivoteLine=(PrevDayHigh+PrevDayLow+PrevDayClose) /3
PivoteR1=(PivoteLine*2) -PrevDayLow

PivoteS1=(PivoteLine*2) -PrevDayHigh

orbPrevDayOpen = getSeries(open[1], 'D')
orbPrevDayClose = getSeries(close[1], 'D')

// //Preview Day High line
// _pdh = line.new(start, PrevDayHigh, end, PrevDayHigh, xloc.bar_time, color=color.red, style=line.style_solid, width=2)
// line.delete(_pdh[1])
// _pdl = line.new(start, PrevDayLow, end, PrevDayLow, xloc.bar_time, color=color.green, style=line.style_solid, width=2)
// line.delete(_pdl[1])
// _Pp = line.new(start, PrevDayLow, end, PrevDayLow, xloc.bar_time, color=color.green, style=line.style_dashed, width=2)
// line.delete(_Pp[1])


// //Previous Day Low Line
// l_pdh = label.new(start, PrevDayHigh, text="PD", xloc=xloc.bar_time, textcolor=rColor, style=label.style_none)
// label.delete(l_pdh[1])
// l_pdl = label.new(start, PrevDayLow, text="PD", xloc=xloc.bar_time, textcolor=sColor, style=label.style_none)
// label.delete(l_pdl[1])

// //Pivote Line

// l_pp = label.new(start, PivoteLine, text="PP", xloc=xloc.bar_time, textcolor=color.black, style=label.style_none)
// label.delete(l_pp[1])
// l_R1 = label.new(start, PivoteR1, text="R1", xloc=xloc.bar_time, textcolor=color.fuchsia, style=label.style_none)
// label.delete(l_pp[1])
// l_SR = label.new(start, PivoteS1, text="S2", xloc=xloc.bar_time, textcolor=color.navy, style=label.style_none)
// label.delete(l_pp[1])


plot(showPrevDayHighLow?PrevDayHigh:na , title=' PDH', color=rColor)
plot(showPrevDayHighLow?PrevDayLow:na, title=' PDL', color=sColor)
plot(showPivoteLine?PivoteLine:na, title=' PP', color=color.black)
plot(showPivoteR1Line?PivoteR1:na, title=' R1', color=color.fuchsia)
plot(showPivoteS1Line?PivoteS1:na, title=' S1', color=color.navy)

// Today's Session Start timestamp
// Start & End time for Today
//endTime = timestamp(t, m, d, 15, 00)

tradeEventPrice= if string("PDH")==tradeOn 
    PrevDayHigh
else if string("PDL")==tradeOn
    PrevDayLow
else if string("R1")==tradeOn
    PivoteR1
else if string("S1")==tradeOn
    PivoteS1
else
    PivoteLine


//tradeEventPrice=PrevDayHigh

if (open < tradeEventPrice) and ( close >tradeEventPrice ) and ( hour < 13 ) and tradeLong
	strategy.entry("buy", strategy.long, 1, when=strategy.position_size <= 0)

if (open > tradeEventPrice) and ( close <tradeEventPrice ) and ( hour < 13 ) and  tradeShort
	strategy.entry("Sell", strategy.short, 1, when=strategy.position_size <= 0)

mxloss=orbPrevDayClose*maxLoss

strategy.exit("exit", "buy",  loss = mxloss) 
strategy.exit("exit", "Sell",  loss = mxloss) 


strategy.close_all(when =   hour == 15   , comment = "close all entries")

Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-07. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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