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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开源脚本
秉承TradingView的精神，该脚本的作者将其开源，以便交易者可以查看和验证其功能。向作者致敬！您可以免费使用该脚本，但请记住，重新发布代码须遵守我们的网站规则。
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。