2 EMA/SMA + RSI Strategy [Alorse] combines three configurable moving averages with a short-period Relative Strength Index filter. It plots fast, slow, and trend moving averages on the price chart. Long entries trigger when the fast moving average is above the
Strategy · Pine Script v5 · On the chart
Fluffy MACD Uptrend
A long-only strategy that buys when the MACD histogram turns from negative to positive while the 50 EMA is above the 200 EMA and RSI sits between a lower and an upper limit.
GitHub stars1on the repository
Pine versionv5runs as is
Lines of code65
Settings14inputs
LicenceGPL-3.0
Last update3 years ago5 Feb 2023
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
65 lines of Pine Script v5 from ScalperV1-MACD.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.
//@version=5
strategy(title="Fluffy Uptrend, MACD Green, RSI", shorttitle="Fluffy MACD Uptrend", overlay=true)
// Getting inputs
fast_length = input(title="Fast Length", group="MACD Settings", defval=12)
slow_length = input(title="Slow Length", group="MACD Settings", defval=26)
src = input(title="Source", group="MACD Settings", defval=close)
signal_length = input.int(title="Signal Smoothing", group="MACD Settings", minval = 1, maxval = 50, defval = 9)
sma_source = input.string(title="Oscillator MA Type", defval="EMA", options=["SMA", "EMA"])
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options=["SMA", "EMA"])
// Plot colors
col_macd = #2962FF //input(#2962FF, "MACD Line ", group="Color Settings", inline="MACD")
col_signal = #FF6D00 // input(#FF6D00, "Signal Line ", group="Color Settings", inline="Signal")
col_grow_above = #26A69A //input(#26A69A, "Above Grow", group="Histogram", inline="Above")
col_fall_above = #B2DFDB //input(#B2DFDB, "Fall", group="Histogram", inline="Above")
col_grow_below = #FFCDD2 //input(#FFCDD2, "Below Grow", group="Histogram", inline="Below")
col_fall_below = #FF5252 //input(#FF5252, "Fall", group="Histogram", inline="Below")
// Calculating
// Calculating
fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist = macd - signal
hline(0, "Zero Line", color=color.new(#787B86, 50))
//plot(hist, title="Histogram", style=plot.style_columns, color=(hist>=0 ? (hist[1] < hist ? col_grow_above : col_fall_above) : (hist[1] < hist ? col_grow_below : col_fall_below)))
//plot(macd, title="MACD", color=col_macd)
//plot(signal, title="Signal", color=col_signal)
macdcross_long = macd and signal ? ta.crossover(macd,signal) : false
macdcross_short = macd and signal > 0 ? ta.crossunder(macd,signal) : false
isBuyAlertMACD = (hist >=0 and (hist[1] < hist) and (hist[1] <= 0))
// isSellAlertMACD =
//EMA Uptrend
EMA_Fast_Length = input(title="EMA Fast Length", group="EMA Settings", defval=50)
EMA_Slow_Length = input(title="EMA Slow Length", group="EMA Settings", defval=200)
EMA_Fast = ta.ema(close,EMA_Fast_Length)
EMA_Slow = ta.ema(close,EMA_Slow_Length)
isUptrend = EMA_Fast > EMA_Slow
//RSI
rsiUpperLimit = input(title="RSI Upper Limit", group="RSI Settings", defval=70)
rsiLowerLimit = input(title="RSI Lower Limit", group="RSI Settings", defval=50)
rsiLength = input(title="RSI Length", group="RSI Settings", defval=14)
rsiCurrent = ta.rsi(close,rsiLength)
isRSIBetweenLimits = (rsiCurrent > rsiLowerLimit) and (rsiCurrent < rsiUpperLimit)
//Trigger Alerts
if (isBuyAlertMACD and isUptrend and isRSIBetweenLimits)
strategy.entry("buy",strategy.long)
long_tp_inp = input(defval=0.3, title='Long Take Profit %') /100
long_take_level = strategy.position_avg_price * (1 + long_tp_inp)
strategy.exit("Take Profit","Long", limit=long_take_level)
//if isUptrend == false
// strategy.close("buy")
// Backtest Range
startDate = input(timestamp("2022-09-01T00:00:00"))
finishDate = input(timestamp("2022-09-31T00:00:00"))
Overview
Its only exit is a percentage take-profit above the average entry price. No stop loss is coded, and the script has a hard-coded backtest date window in 2022 that may need editing. Settings cover the MACD lengths and average types, the EMAs, the RSI limits and the take-profit percentage.
- MACD histogram turn-up entry
- 50 and 200 EMA uptrend filter
- RSI range filter
- Percentage take-profit exit
Details
Published by
pvdochtend on GitHub
Type
Strategy, Pine Script v5
Draws
On the price chart
Category
Oscillators & momentum, Trend
Markets
Crypto
Timeframes
Any timeframe
Risk Notes
- 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 |
|---|---|---|---|
| Fast Length | int | 12 | fast_length |
| Slow Length | int | 26 | slow_length |
| Source | source | close | src |
| Signal Smoothing | int | 9 | signal_length |
| Oscillator MA Type | string | EMA | sma_source |
| Signal Line MA Type | string | EMA | sma_signal |
| EMA Fast Length | int | 50 | EMA_Fast_Length |
| EMA Slow Length | int | 200 | EMA_Slow_Length |
| RSI Upper Limit | int | 70 | rsiUpperLimit |
| RSI Lower Limit | int | 50 | rsiLowerLimit |
| RSI Length | int | 14 | rsiLength |
| Long Take Profit % | float | 0.3 | long_tp_inp |
Show all 14 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| startDate | input | timestamp("2022-09-01T00:00:00") | startDate |
| finishDate | input | timestamp("2022-09-31T00:00:00") | finishDate |
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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