Strategy · Pine Script v5 · On the chart

1D Bullish Buy 4H Bearish Sell Session

by JackZhao516· code credited to smrti

This strategy plots a 90-period simple moving average from the daily and four-hour charts plus a daily session VWAP on the price chart.

View on GitHub

Repaints

GitHub stars7on the repository
Pine versionv5runs as is
Lines of code70
Settings0inputs
LicenceMIT
Last update3 years ago10 Jul 2023

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.

Source Code

70 lines of Pine Script v5 from 1d_bullish_buy_4h_bearish_sell_session.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.

1d_bullish_buy_4h_bearish_sell_session.pine
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © smrti

//@version=5
//initial capital 10000USDT
strategy("1d_bullish_buy_4h_bearish_sell_session", overlay=true, calc_on_every_tick=true,
 default_qty_type=strategy.percent_of_equity, default_qty_value = 100,
 initial_capital = 10000, currency = currency.USDT, process_orders_on_close=true,
 use_bar_magnifier = true, precision=7)

// timewindow
start = timestamp(2019, 1, 1, 00, 00)            // backtest start  window
end = timestamp(2022, 9, 8, 00, 00)              // backtest end  window
// start1 = timestamp(2020, 3, 11, 00, 00)            // backtest start  window
// end1 = timestamp(2020, 3, 13, 00, 00)              // backtest end  window
window = time >= start and time <=end

// indicators

ma90 = ta.sma(close, 90)
ma90_1d = request.security(syminfo.tickerid, '1D', ma90)
ma90_4h = request.security(syminfo.tickerid, '240', ma90)
vwap = ta.vwap(hlc3, timeframe.change('1D')) // session vwap

plot(ma90_1d, color=color.new(color.green, 20))
plot(vwap, color=color.new(color.blue, 20))
plot(ma90_4h, color=color.new(color.yellow, 20))

// conditional indicators
bull_1d = ta.crossover(vwap, ma90_1d)
bear_1d = ta.crossunder(vwap, ma90_1d)
bull_4h = ta.crossover(vwap, ma90_4h)
bear_4h = ta.crossunder(vwap, ma90_4h)

// func close_all()
close_all() =>
    if strategy.position_size > 0
        strategy.close("long", qty_percent = 100)
    if strategy.position_size < 0
        strategy.close("short", qty_percent = 100)

// func long()
long() =>
    close_all()
    strategy.entry("long", strategy.long)

// func short()
short() =>
    close_all()
    strategy.entry("short",  strategy.short)

// in 1d bull zone
if vwap >= ma90_1d and bull_4h and window
    long()
if vwap >= ma90_1d and bear_4h
    close_all()

// in 1d bear zone
if vwap <= ma90_1d and bear_4h and window
    short()
if vwap <= ma90_1d and bull_4h
    close_all()

// 1d bull
if bull_1d and window
    long()

// 1d bear
if bear_1d and window
    short()

Overview

1D Bullish Buy 4H Bearish Sell Session enters long when VWAP is above the daily average and the four-hour VWAP crosses above its average, and short in the opposite daily zone. Daily VWAP crosses also flip the position. It closes the trade on the opposing four-hour cross. Orders use a full equity allocation inside a fixed date window, with no stop loss, and they recalculate on every tick.

Details

Published by

JackZhao516 on GitHub

Code credit

smrti, as written in the script's header

Type

Strategy, Pine Script v5

Draws

On the price chart

Category

Trend, Moving averages, Sessions & time

Markets

Crypto

Timeframes

H4 and above

Risk Notes

  • Signals can change on the live bar or after it closes (repainting)
  • The strategy enters trades without a stop loss
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

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