OPEN-SOURCE SCRIPT
Q-Trend w/ SL+Trailing Stop
Q Trend Strategy
Simple Q Trend Strategy mixed with a fixed SL and Trailing drawdown. Also using VIDYA Volumatic Indicator and Two Pole Oscillator for entry confirmation.
Using The Indicator:
-Some arrows and exit positions will pop up on the chart. You ONLY need to focus on the BLUE and RED arrows.
-BLUE arrow is for LONG and RED arrow is for SHORT. Simple!
- You can use it on most time frames but 15M,30M,1H timeframes work best. Try and get your entry as close as you can to the arrows and exit on the reversal.
- If the delta volume is BELOW 20% you should just stay out of the market. Above 20% the trade has higher probability of being profitable.
Feedback is appreciated. Enjoy
Pinescript Code:
//version=5
strategy("Q-Trend Strategy with SL and Trailing Stop + Date Range", overlay = true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100)
// ─────────────────────────────────────────────────────────────────────────────
// Date Range Filter
useDateFilter = input.bool(true, "Use Date Range Filter", group="Date Range")
startTime = input.time(timestamp("2024-01-01T00:00:00"), "Start Date", group="Date Range")
endTime = input.time(timestamp("2026-12-31T23:59:59"), "End Date", group="Date Range")
closeAfterEnd = input.bool(true, "Close positions after End Date?", group="Date Range",
tooltip="If enabled, any open position will be closed on/after the End Date.")
// Allow entries only inside the date window
inDateRange = not useDateFilter or (time >= startTime and time <= endTime)
// Inputs
src = input(close, "Source", group = "Main settings")
p = input.int(200, "Trend period", group = "Main settings", minval = 1)
atr_p = input.int(14, "ATR Period", group = "Main settings", minval = 1)
mult = input.float(1.0, "ATR Multiplier", step = 0.1, group = "Main settings")
mode = input.string("Type A", "Signal mode", options = ["Type A", "Type B"], group = "Mode")
use_ema_smoother = input.string("No", "Smooth source with EMA?", options = ["Yes", "No"], group = "Source")
src_ema_period = input.int(3, "EMA Smoother period", group = "Source")
// Risk Management Inputs
atr_mult_stop = input.float(2.0, "Stop Loss (ATR)", group="Risk Management")
atr_mult_trail = input.float(1.0, "Trailing Stop (ATR)", group="Risk Management")
// Source calculation
src := use_ema_smoother == "Yes" ? ta.ema(src, src_ema_period) : src
// Trend line and ATR
h = ta.highest(src, p)
l = ta.lowest(src, p)
d = h - l
m = (h + l) / 2
m := bar_index > p ? m[1] : m
atr = ta.atr(atr_p)[1]
epsilon = mult * atr
change_up = (mode == "Type B" ? ta.cross(src, m + epsilon) : ta.crossover(src, m + epsilon)) or src > m + epsilon
change_down = (mode == "Type B" ? ta.cross(src, m - epsilon) : ta.crossunder(src, m - epsilon)) or src < m - epsilon
sb = open < l + d / 8 and open >= l
ss = open > h - d / 8 and open <= h
strong_buy = sb or sb[1] or sb[2] or sb[3] or sb[4]
strong_sell = ss or ss[1] or ss[2] or ss[3] or ss[4]
m := (change_up or change_down) and m != m[1] ? m : change_up ? m + epsilon : change_down ? m - epsilon : nz(m[1], m)
var string ls = ""
ls := change_up ? "B" : change_down ? "S" : ls[1]
// === STRATEGY LOGIC ===
// Entries restricted by date range
longCondition = change_up and ls[1] != "B" and inDateRange
shortCondition = change_down and ls[1] != "S" and inDateRange
if (longCondition)
strategy.entry("Long", strategy.long)
strategy.close("Short")
strategy.exit("Exit Long", from_entry="Long", stop=atr * atr_mult_stop, trail_points=atr * atr_mult_trail, trail_offset=atr * atr_mult_trail)
if (shortCondition)
strategy.entry("Short", strategy.short)
strategy.close("Long")
strategy.exit("Exit Short", from_entry="Short", stop=atr * atr_mult_stop, trail_points=atr * atr_mult_trail, trail_offset=atr * atr_mult_trail)
// Optionally flatten after end date
if useDateFilter and closeAfterEnd and time >= endTime and strategy.position_size != 0
strategy.close_all(comment="End Date Close")
plot(m, title="Trend Line", color=ls == "B" ? color.green : color.red, linewidth=2)
Simple Q Trend Strategy mixed with a fixed SL and Trailing drawdown. Also using VIDYA Volumatic Indicator and Two Pole Oscillator for entry confirmation.
Using The Indicator:
-Some arrows and exit positions will pop up on the chart. You ONLY need to focus on the BLUE and RED arrows.
-BLUE arrow is for LONG and RED arrow is for SHORT. Simple!
- You can use it on most time frames but 15M,30M,1H timeframes work best. Try and get your entry as close as you can to the arrows and exit on the reversal.
- If the delta volume is BELOW 20% you should just stay out of the market. Above 20% the trade has higher probability of being profitable.
Feedback is appreciated. Enjoy
Pinescript Code:
//version=5
strategy("Q-Trend Strategy with SL and Trailing Stop + Date Range", overlay = true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100)
// ─────────────────────────────────────────────────────────────────────────────
// Date Range Filter
useDateFilter = input.bool(true, "Use Date Range Filter", group="Date Range")
startTime = input.time(timestamp("2024-01-01T00:00:00"), "Start Date", group="Date Range")
endTime = input.time(timestamp("2026-12-31T23:59:59"), "End Date", group="Date Range")
closeAfterEnd = input.bool(true, "Close positions after End Date?", group="Date Range",
tooltip="If enabled, any open position will be closed on/after the End Date.")
// Allow entries only inside the date window
inDateRange = not useDateFilter or (time >= startTime and time <= endTime)
// Inputs
src = input(close, "Source", group = "Main settings")
p = input.int(200, "Trend period", group = "Main settings", minval = 1)
atr_p = input.int(14, "ATR Period", group = "Main settings", minval = 1)
mult = input.float(1.0, "ATR Multiplier", step = 0.1, group = "Main settings")
mode = input.string("Type A", "Signal mode", options = ["Type A", "Type B"], group = "Mode")
use_ema_smoother = input.string("No", "Smooth source with EMA?", options = ["Yes", "No"], group = "Source")
src_ema_period = input.int(3, "EMA Smoother period", group = "Source")
// Risk Management Inputs
atr_mult_stop = input.float(2.0, "Stop Loss (ATR)", group="Risk Management")
atr_mult_trail = input.float(1.0, "Trailing Stop (ATR)", group="Risk Management")
// Source calculation
src := use_ema_smoother == "Yes" ? ta.ema(src, src_ema_period) : src
// Trend line and ATR
h = ta.highest(src, p)
l = ta.lowest(src, p)
d = h - l
m = (h + l) / 2
m := bar_index > p ? m[1] : m
atr = ta.atr(atr_p)[1]
epsilon = mult * atr
change_up = (mode == "Type B" ? ta.cross(src, m + epsilon) : ta.crossover(src, m + epsilon)) or src > m + epsilon
change_down = (mode == "Type B" ? ta.cross(src, m - epsilon) : ta.crossunder(src, m - epsilon)) or src < m - epsilon
sb = open < l + d / 8 and open >= l
ss = open > h - d / 8 and open <= h
strong_buy = sb or sb[1] or sb[2] or sb[3] or sb[4]
strong_sell = ss or ss[1] or ss[2] or ss[3] or ss[4]
m := (change_up or change_down) and m != m[1] ? m : change_up ? m + epsilon : change_down ? m - epsilon : nz(m[1], m)
var string ls = ""
ls := change_up ? "B" : change_down ? "S" : ls[1]
// === STRATEGY LOGIC ===
// Entries restricted by date range
longCondition = change_up and ls[1] != "B" and inDateRange
shortCondition = change_down and ls[1] != "S" and inDateRange
if (longCondition)
strategy.entry("Long", strategy.long)
strategy.close("Short")
strategy.exit("Exit Long", from_entry="Long", stop=atr * atr_mult_stop, trail_points=atr * atr_mult_trail, trail_offset=atr * atr_mult_trail)
if (shortCondition)
strategy.entry("Short", strategy.short)
strategy.close("Long")
strategy.exit("Exit Short", from_entry="Short", stop=atr * atr_mult_stop, trail_points=atr * atr_mult_trail, trail_offset=atr * atr_mult_trail)
// Optionally flatten after end date
if useDateFilter and closeAfterEnd and time >= endTime and strategy.position_size != 0
strategy.close_all(comment="End Date Close")
plot(m, title="Trend Line", color=ls == "B" ? color.green : color.red, linewidth=2)
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開源腳本
秉持TradingView一貫精神，這個腳本的創作者將其設為開源，以便交易者檢視並驗證其功能。向作者致敬！您可以免費使用此腳本，但請注意，重新發佈代碼需遵守我們的社群規範。
免責聲明
這些資訊和出版物並非旨在提供，也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。