Strategy · Pine Script v5 · On the chart

1D Bullish Buy 4H Bearish Sell Session EMA

by JackZhao516· code credited to smrti

This strategy calculates trade signals by evaluating a daily session Volume Weighted Average Price relative to 90-period Exponential Moving Averages requested from 1-day and 4-hour higher timeframes.

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_ema.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.

1d_bullish_buy_4h_bearish_sell_session_ema.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_ema", 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

// indicators

ma90 = ta.ema(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

Long and short entries occur when VWAP crosses over or under these moving averages within a set backtest window. The script plots the daily VWAP alongside the 1-day and 4-hour EMAs directly on the price chart. Exits rely entirely on opposite crossover conditions with no built-in stop loss.

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

Moving averages, Trend, Volume

Markets

Any symbol

Timeframes

M15-H1, 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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