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 v6 · On the chart
PineForge Anvil Percent Costs
This Pine Script v6 strategy calculates two simple moving averages, one fast and one slow.
GitHub stars1on the repository
Pine versionv6current
Lines of code34
Settings4inputs
LicenceApache-2.0
Last update7 days ago23 Oct 2026
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
34 lines of Pine Script v6 from validation/analyzer-anvil-percent-costs-01/strategy.pine, published under Apache-2.0. Keep the author's credit and licence lines when you reuse it.
//@version=6
// SPDX-License-Identifier: Apache-2.0
// Copyright 2026 PineForge
// PineForge Corporate Strategy: Anvil Percent Costs
strategy("PineForge — Anvil Percent Costs", overlay=true,
initial_capital=100000,
default_qty_type=strategy.percent_of_equity, default_qty_value=7.5,
pyramiding=0, commission_type=strategy.commission.percent,
commission_value=0.08, slippage=2,
margin_long=100, margin_short=100,
process_orders_on_close=false, calc_on_order_fills=false)
fastLength = input.int(23, "Fast SMA", minval=2, group="Signal")
slowLength = input.int(71, "Slow SMA", minval=3, group="Signal")
stopPercent = input.float(3.4, "Stop %", minval=0.2, step=0.1, group="Risk") * 0.01
targetPercent = input.float(5.2, "Target %", minval=0.2, step=0.1, group="Risk") * 0.01
fastSma = ta.sma(close, fastLength)
slowSma = ta.sma(close, slowLength)
if ta.crossover(fastSma, slowSma)
strategy.entry("Anvil Long", strategy.long)
if ta.crossunder(fastSma, slowSma)
strategy.close("Anvil Long", comment="Trend invalidation")
if strategy.position_size > 0
stopPrice = strategy.position_avg_price * (1.0 - stopPercent)
targetPrice = strategy.position_avg_price * (1.0 + targetPercent)
strategy.exit("Anvil Costed Bracket", from_entry="Anvil Long",
stop=stopPrice, limit=targetPrice)
plot(fastSma, "Fast SMA", color=color.silver)
plot(slowSma, "Slow SMA", color=color.black)
Overview
PineForge Anvil Percent Costs enters long positions when the fast SMA crosses above the slow SMA and closes long positions when the fast SMA crosses below the slow SMA. The strategy uses percent-of-equity position sizing by default and places a bracket order with a stop-loss at 3.4% below the entry price and a take-profit at 5.2% above the entry price. It draws the two SMAs on the price chart. The main settings change the lengths of the SMAs and the stop and target percentages. There are no exit rules other than the SMA crossover or the bracket.
- SMA crossover
- percent exit
- bracket order
- trend following
- position sizing
Details
Published by
pineforge-4pass on GitHub
Code credit
PineForge, as written in the script's header
Type
Draws
On the price chart
Category
Markets
Any symbol
Timeframes
Any timeframe
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
algorithmic-tradingbacktestingparitypine-scriptpinescriptquantitative-financetest-corpustradingview
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Fast SMA | int | 23 | fastLength |
| Slow SMA | int | 71 | slowLength |
| Stop % | float | 3.4 | stopPercent |
| Target % | float | 5.2 | targetPercent |
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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