Forven S01512 — Monday Drift is a calendar-based long trading strategy designed to exploit time-based recurring market patterns. It tracks UTC calendar days and hours to enter a long position at a specified day and hour, holding it for a fixed duration until a
Strategy · Pine Script v5 · On the chart
Buy Monday, Exit Wednesday
This strategy enters a long position on Monday when the current bar falls inside the 1400-1601 session window.
GitHub stars106on the repository
Pine versionv5runs as is
Lines of code23
Settings2inputs
LicenceGPL-3.0
Last update2 years ago18 Sep 2024
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 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
23 lines of Pine Script v5 from Buy Monday, Exit Wednesday.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © processingclouds
// @description Strategy to go long at end of Monday and exit by Tuesday close, or at stop loss or take profit percentages
//@version=5
strategy("Buy Monday, Exit Wednesday", "Mon-Wed Swings",overlay=true)
// ----- Inputs: stoploss %, takeProfit %
stopLossPercentage = input.float(defval=4.0, title='StopLoss %', minval=0.1, step=0.2) / 100
takeProfit = input.float(defval=3.0, title='Take Profit %', minval=0.3, step=0.2) / 100
// ----- Exit and Entry Conditions - Check current day and session time
isLong = dayofweek == dayofweek.monday and not na(time(timeframe.period, "1400-1601"))
isExit = dayofweek == dayofweek.wednesday and not na(time(timeframe.period, "1400-1601"))
// ----- Calculate Stoploss and Take Profit values
SL = strategy.position_avg_price * (1 - stopLossPercentage)
TP = strategy.position_avg_price * (1 + takeProfit)
// ----- Strategy Enter, and exit when conditions are met
strategy.entry("Enter Long", strategy.long, when=isLong)
if strategy.position_size > 0
strategy.close("Enter Long", isExit)
strategy.exit(id="Exit", stop=SL, limit=TP)
// ----- Plot Stoploss and TakeProfit lines
plot(strategy.position_size > 0 ? SL : na, style=plot.style_linebr, color=color.red, linewidth=2, title="StopLoss")
plot(strategy.position_size > 0 ? TP : na, style=plot.style_linebr, color=color.green, linewidth=2, title="TakeProfit")
Expand (29 lines)
Overview
Buy Monday, Exit Wednesday closes that long on Wednesday inside the same window, and also exits at a percentage stop loss or take profit. Default stop loss is 4 percent and default take profit is 3 percent, both measured from the average entry price. Those two inputs change the exit distances. Stop-loss and take-profit lines are plotted on the price chart only while a position is open. The script does not define short entries.
- Monday session long entry
- Wednesday session close
- Percentage stop loss
- Percentage take profit
- Stop and target line plots
Details
Published by
hasnocool on GitHub
Code credit
processingclouds, as written in the script's header
Type
Strategy, Pine Script v5
Draws
On the price chart
Category
Sessions & time
Markets
Any symbol
Timeframes
H4 and above
Risk Notes
No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.
Topics
analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| StopLoss % | float | 4.0 | stopLossPercentage |
| Take Profit % | float | 3.0 | takeProfit |
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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