This strategy plots MACD line, signal line, Bollinger Bands, and RSI on the price chart. It signals long entries on MACD crossover above signal with RSI below 50 and price below BB basis, plus optional DMI filter. Short entries are available but disabled by de
Strategy · Pine Script v5 · On the chart
ATR RSI Strategy v2
This strategy combines Average True Range (ATR) and the Relative Strength Index (RSI) to generate volatility-filtered momentum trades on the price chart.
GitHub stars106on the repository
Pine versionv5runs as is
Lines of code84
Settings7inputs
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
84 lines of Pine Script v5 from ATR_RSI_Strategy v2 with no repaint [liwei666].pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.
// © liwei666
//@version=5
// # ========================================================================= #
// # | Strategy |
// # ========================================================================= #
strategy(
title = "ATR_RSI_Strategy v2[liwei666]",
shorttitle = "ATR_RSI_Strategy",
overlay = true,
max_lines_count = 500,
max_labels_count = 500,
max_boxes_count = 500,
max_bars_back = 5000,
initial_capital = 10000,
default_qty_type=strategy.percent_of_equity,
default_qty_value=10, commission_type=strategy.commission.percent, pyramiding=1,
commission_value=0.05
)
// # ========================================================================= #
// # | Strategy |
// # ========================================================================= #
atr_length = input.int(26, "atr_length", minval = 6, maxval = 100, step=1)
atr_ma_length = input.int(45, "atr_ma_length", minval = 6, maxval = 100, step=1)
rsi_length = input.int(15, "rsi_length", minval = 6, maxval = 100, step=1)
rsi_entry = input.int(10, "rsi_entry", minval = 6, maxval = 100, step=1)
atr_ma_norm_min = input.float(0.3, "atr_ma_norm_min", minval = 0.1, maxval = 0.5, step=0.1)
atr_ma_norm_max = input.float(0.7, "atr_ma_norm_max", minval = 0.5, maxval = 1, step=0.1)
trailing_percent= input.float(1.5, "trailing_stop_percent", minval = 0.1, maxval = 2, step=0.1)
var rsi_buy = 50 + rsi_entry
var rsi_sell = 50 - rsi_entry
sma_norm_h_45() =>
source = high
n = 45
sma = ta.sma(source, n)
sma_norm = (sma - ta.lowest(sma, n)) / (ta.highest(sma,n) - ta.lowest(sma, n))
sma_norm
atr_value = ta.atr(atr_length)
atr_ma = ta.sma(atr_value, atr_ma_length)
rsi_value = ta.rsi(close, length = rsi_length)
atr_ma_norm = atr_ma / close * 100
sma_norm = sma_norm_h_45()
var intra_trade_high = 0.0
var intra_trade_low = 0.0
var long_sl = 0.0
var long_tp = 0.0
var short_sl = 0.0
var short_tp = 0.0
if strategy.position_size == 0
intra_trade_high := high
intra_trade_low := low
// when in living trading, enter after freq_once_per_bar_close
if atr_ma_norm >= atr_ma_norm_min and atr_ma_norm <= atr_ma_norm_max
if atr_value > atr_ma
if rsi_value > rsi_buy
strategy.entry("B1", strategy.long, limit = close + 5 )
alert("Long B1", alert.freq_once_per_bar_close)
else if rsi_value < rsi_sell
strategy.entry("S1", strategy.short, limit = close - 5 )
alert("Short S1", alert.freq_once_per_bar_close)
else if strategy.position_size > 0
intra_trade_high := math.max(intra_trade_high, high)
intra_trade_low := low
long_sl := intra_trade_high * (1 - trailing_percent / 100)
long_tp := strategy.position_avg_price * 1.03
strategy.exit("Exit B1", from_entry="B1", stop = long_sl, limit = long_tp)
else if strategy.position_size < 0
intra_trade_high := high
intra_trade_low := math.min(intra_trade_low, low)
short_sl := intra_trade_low * (1 + trailing_percent / 100)
short_tp := strategy.position_avg_price * 0.94
strategy.exit("Exit S1", from_entry="S1", stop = short_sl, limit = short_tp)
// when in living trading, SL and TP should use freq_once_per_bar
// you can compare with trade_list of backtest result
// long Exit alert
if strategy.position_size > 0 and low < long_sl
alert("B1 Stop_loss", alert.freq_once_per_bar)
else if strategy.position_size > 0 and high > long_tp
alert("B1 Take_profit", alert.freq_once_per_bar)
// short Exit alert
if strategy.position_size < 0 and high > short_sl
alert("S1 Stop_loss", alert.freq_once_per_bar)
else if strategy.position_size > 0 and low < short_tp
alert("S1 Take_profit", alert.freq_once_per_bar)
Expand (99 lines)
Overview
ATR RSI Strategy v2 checks whether a normalized ATR moving average falls within user-defined bounds and requires current ATR to exceed its moving average. Long trades enter when RSI moves above a designated high threshold, while short trades enter below a low threshold. Exits are managed using intra-trade trailing stop losses alongside fixed percentage take-profit targets.
- ATR moving average volatility filter
- RSI momentum entry logic
- Intra-trade trailing stop loss
- Percentage-based profit targets
Details
Published by
hasnocool on GitHub
Code credit
liwei666, as written in the script's header
Type
Strategy, Pine Script v5
Draws
On the price chart
Category
Oscillators & momentum, Volatility & bands, Moving averages
Markets
Crypto
Timeframes
M1-M5, M15-H1
Risk Notes
- The strategy can add several entries in the same direction
Topics
analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| atr_length | int | 26 | atr_length |
| atr_ma_length | int | 45 | atr_ma_length |
| rsi_length | int | 15 | rsi_length |
| rsi_entry | int | 10 | rsi_entry |
| atr_ma_norm_min | float | 0.3 | atr_ma_norm_min |
| atr_ma_norm_max | float | 0.7 | atr_ma_norm_max |
| trailing_stop_percent | float | 1.5 | trailing_percent |
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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