Doge SMA is a long-only moving-average crossover strategy drawn on the price chart. It calculates a fast and a slow simple moving average of close and enters a long position when the fast average crosses above the slow average, but only inside a user-defined s
Strategy · Pine Script v5 · On the chart
Strategy
This script serves as a boilerplate strategy template featuring modular trade execution and order management.
GitHub stars33on the repository
Pine versionv5runs as is
Lines of code177
Settings23inputs
LicenceMIT
Last update4 years ago8 Nov 2021
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
177 lines of Pine Script v5 from templates/strategy.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.
//@version=5
// Developed by ProfitRobots: https://github.com/sibvic/pinescript-templates
strategy("Strategy", overlay = true, pyramiding = 100)
// Trading module v 1.11
FromMonth = input.int(defval = 1, title = "From Month", minval = 1)
FromDay = input.int(defval = 1, title = "From Day", minval = 1)
FromYear = input.int(defval = 2017, title = "From Year", minval = 2014)
ToMonth = input.int(defval = 1, title = "To Month", minval = 1)
ToDay = input.int(defval = 1, title = "To Day", minval = 1)
ToYear = input.int(defval = 9999, title = "To Year", minval = 2014)
in_testing_range = (time > timestamp(FromYear, FromMonth, FromDay, 00, 00)) and (time < timestamp(ToYear, ToMonth, ToDay, 23, 59))
last_signal = 0
last_signal_prev = na(last_signal[1]) ? 0 : last_signal[1]
in_buy = last_signal_prev > 0
in_sell = last_signal_prev < 0
// ==========
buy_signal = TODO ? 1 : 0
sell_signal = TODO ? 1 : 0
close_buy_signal = in_buy and TODO
close_sell_signal = in_sell and TODO
// ==========
max_positions = input(1, "Max positions")
Buy = ta.change(buy_signal) > 0 and (not in_buy or last_signal_prev < max_positions) and in_testing_range
Sell = ta.change(sell_signal) > 0 and (not in_sell or last_signal_prev > -max_positions) and in_testing_range
last_buy_price = ta.valuewhen(Buy, close, 0)
last_sell_price = ta.valuewhen(Sell, close, 0)
BuyBreakevenHit(be_type, last_price, trigger) =>
hit = false
if (be_type == "Pips")
hit := (close - last_price) >= trigger * 10 * syminfo.mintick
else
hit := (100 * (close - last_price)) / last_price >= trigger
hit
SellBreakevenHit(be_type, last_price, trigger) =>
hit = false
if (be_type == "Pips")
hit := (last_price - close) >= trigger * 10 * syminfo.mintick
else
hit := (100 * (last_price - close)) / last_price >= trigger
hit
GetBreakevenLevel(by_type, isBuy, last_price, target) =>
level = 0.0
if (isBuy)
if (by_type == "Pips")
level := last_price + target * 10 * syminfo.mintick
else
level := last_price + last_price * target / 100
else
if (by_type == "Pips")
level := last_price - target * 10 * syminfo.mintick
else
level := last_price - last_price * target / 100
level
FixedStopLevel(is_buy, type, value, value_bars) =>
float stop = na
mult = is_buy ? -1 : 1
if (type == "Fixed rate shift")
stop := close + value * mult
if (type == "Pips")
stop := close + value * 10 * syminfo.mintick * mult
if (type == "%")
stop := close + close * value / 100 * mult
if (type == "Min/max of x candles")
if (is_buy)
stop := ta.lowest(low, value_bars)
else
stop := ta.highest(high, value_bars)
stop
FixedLimitLevel(is_buy, type, value, value_bars) =>
float limit = na
mult = is_buy ? -1 : 1
if (type == "Fixed rate shift")
limit := close - value * mult
if (type == "Pips")
limit := close - value * 10 * syminfo.mintick * mult
if (type == "%")
limit := close - close * value / 100 * mult
if (type == "Min/max of x candles")
if (is_buy)
limit := ta.highest(high, value_bars)
else
limit := ta.lowest(low, value_bars)
limit
stop_type = input.string("Do not use", "Stop loss type", options = ["Do not use", "%", "Fixed rate shift", "ATR", "Pips", "Min/max of x candles"])
stop = input.float(1, "Stop loss")
stop_bars = input.int(10, "Stop loss, bars (min/max)")
stop_atr_length = input.int(5, "Stop ATR Length")
stop_atr_mult = input.float(1.5, "Stop ATR Multiplier")
trailing_sl_type = input.string("Do not use", "SL/TP Trailing Type", options = ["Do not use", "%", "Pips"])
trailing_sl_trigger = input.float(10, "Trailing start after")
trailing_sl_target = input.float(10, "Trailing distance, pips")
breakeven_use = input.string("Do not use", "Use breakeven", options = ["Do not use", "Pips", "%"])
breakeven_trigger = input.float(10, "Move stop on profit")
breakeven_target = input.float(0, "Move stop to")
buy_fixed_stop_level = ta.valuewhen(Buy, FixedStopLevel(true, stop_type, stop, stop_bars), 0)
buy_breakeven_level = ta.valuewhen(Buy or in_buy and BuyBreakevenHit(breakeven_use, last_buy_price, breakeven_trigger), Buy ? na : GetBreakevenLevel(breakeven_use, true, last_buy_price, breakeven_target), 0)
sell_fixed_stop_level = ta.valuewhen(Sell, FixedStopLevel(false, stop_type, stop, stop_bars), 0)
sell_breakeven_level = ta.valuewhen(Sell or in_sell and SellBreakevenHit(breakeven_use, last_sell_price, breakeven_trigger), Sell ? na : GetBreakevenLevel(breakeven_use, false, last_sell_price, breakeven_target), 0)
limit_type = input.string("Do not use", "Take profit type", options = ["Do not use", "%", "Fixed rate shift", "ATR", "Pips", "Min/max of x candles"])
limit = input.float(1, "Take profit")
limit_bars = input.int(10, "Take profit, bars (min/max)")
limit_atr_length = input.int(5, "Take profit ATR Length")
limit_atr_mult = input.float(1.5, "Take profit ATR Multiplier")
buy_fixed_limit_level = ta.valuewhen(Buy, FixedLimitLevel(true, limit_type, limit, limit_bars), 0)
sell_fixed_limit_level = ta.valuewhen(Sell, FixedLimitLevel(false, limit_type, limit, limit_bars), 0)
buy_stop = stop_type == "Do not use" ? na : na(buy_fixed_stop_level) ? last_buy_price - ta.atr(stop_atr_length) * stop_atr_mult : buy_fixed_stop_level
sell_stop = stop_type == "Do not use" ? na : na(sell_fixed_stop_level) ? last_sell_price + ta.atr(stop_atr_length) * stop_atr_mult : sell_fixed_stop_level
buy_limit = limit_type == "Do not use" ? na : na(buy_fixed_limit_level) ? last_buy_price + ta.atr(limit_atr_length) * limit_atr_mult : buy_fixed_limit_level
sell_limit = limit_type == "Do not use" ? na : na(sell_fixed_limit_level) ? last_sell_price - ta.atr(limit_atr_length) * limit_atr_mult : sell_fixed_limit_level
buy_stop_be = na(buy_breakeven_level) ? buy_stop : math.max(buy_breakeven_level, buy_stop)
sell_stop_be = na(sell_breakeven_level) ? sell_stop : math.min(sell_breakeven_level, sell_stop)
buy_stop_hit = in_buy and not na(buy_stop_be) and low <= buy_stop_be
sell_stop_hit = in_sell and not na(sell_stop_be) and high >= sell_stop_be
buy_limit_hit = in_buy and not na(buy_limit) and high >= buy_limit
sell_limit_hit = in_sell and not na(sell_limit) and low <= sell_limit
GetPositionsCount(buy, sell, count) =>
c = count
if (buy)
if (count < 0)
c := 1
else
c := count + 1
if (sell)
if (count > 0)
c := -1
else
c := count - 1
c
GetTrailingPrice(isBuy, lastPrice, triggerType, triggerValue) =>
float res = na
if (triggerType == "Pips")
if (isBuy)
res := lastPrice + triggerValue * 10 * syminfo.mintick
else
res := lastPrice - triggerValue * 10 * syminfo.mintick
if (triggerType == "%")
if (isBuy)
res := lastPrice + lastPrice * triggerValue / 100
else
res := lastPrice - lastPrice * triggerValue / 100
res
close_buy = close_buy_signal and not Sell
close_sell = close_sell_signal and not Buy
last_signal := close_buy or close_sell or buy_stop_hit or sell_stop_hit or buy_limit_hit or sell_limit_hit ? (Buy ? 1 : (Sell ? -1 : 0)) : GetPositionsCount(Buy, Sell, last_signal_prev)
strategy.close_all(not in_testing_range)
strategy.entry("Long", strategy.long, when = Buy)
strategy.entry("Short", strategy.short, when = Sell)
strategy.close("Long", close_buy)
strategy.close("Short", close_sell)
b_stop_val = na(buy_breakeven_level) ? buy_stop : math.max(buy_breakeven_level, buy_stop)
s_stop_val = na(sell_breakeven_level) ? sell_stop : math.min(sell_breakeven_level, sell_stop)
b_trail_price = GetTrailingPrice(true, last_buy_price, trailing_sl_type, trailing_sl_trigger)
s_trail_price = GetTrailingPrice(true, last_sell_price, trailing_sl_type, trailing_sl_trigger)
b_trail_offset = trailing_sl_type != "Do not use" ? trailing_sl_target * 10 : na
s_trail_offset = trailing_sl_type != "Do not use" ? trailing_sl_target * 10 : na
strategy.exit("exit long", "Long", stop = b_stop_val, limit = buy_limit, trail_price = b_trail_price, trail_offset = b_trail_offset)
strategy.exit("exit short", "Short", stop = s_stop_val, limit = sell_limit, trail_price = s_trail_price, trail_offset = s_trail_offset)
Overview
Strategy includes placeholder buy and sell signals intended to be completed by the user. The template provides customizable risk management features including date range filtering, pyramiding controls, trailing stop-loss, breakeven triggers, and stop-loss or take-profit orders based on fixed pips, percentages, ATR, or recent candle extremes. It overlays directly on the main price chart. By default, both stop-loss and take-profit mechanisms are disabled.
- Date range filter for backtesting windows
- Configurable stop-loss via pips, percentage, ATR, or bar extremes
- Breakeven and trailing stop-loss automation
- Take-profit targets using fixed offsets, ATR, or candle extremes
- Position scaling and pyramiding controls
Details
Published by
sibvic on GitHub
Type
Strategy, Pine Script v5
Draws
On the price chart
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
- The strategy can add several entries in the same direction
- The strategy enters trades without a stop loss
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| From Month | int | 1 | FromMonth |
| From Day | int | 1 | FromDay |
| From Year | int | 2017 | FromYear |
| To Month | int | 1 | ToMonth |
| To Day | int | 1 | ToDay |
| To Year | int | 9999 | ToYear |
| Max positions | int | 1 | max_positions |
| Stop loss type | string | Do not use | stop_type |
| Stop loss | float | 1 | stop |
| Stop loss, bars (min/max) | int | 10 | stop_bars |
| Stop ATR Length | int | 5 | stop_atr_length |
| Stop ATR Multiplier | float | 1.5 | stop_atr_mult |
Show all 23 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| SL/TP Trailing Type | string | Do not use | trailing_sl_type |
| Trailing start after | float | 10 | trailing_sl_trigger |
| Trailing distance, pips | float | 10 | trailing_sl_target |
| Use breakeven | string | Do not use | breakeven_use |
| Move stop on profit | float | 10 | breakeven_trigger |
| Move stop to | float | 0 | breakeven_target |
| Take profit type | string | Do not use | limit_type |
| Take profit | float | 1 | limit |
| Take profit, bars (min/max) | int | 10 | limit_bars |
| Take profit ATR Length | int | 5 | limit_atr_length |
| Take profit ATR Multiplier | float | 1.5 | limit_atr_mult |
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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