This strategy plots a comparative relative strength line against a benchmark symbol in a separate pane. It calculates price and volume simple moving averages alongside a multi-period highest high. Long trades enter using full equity when price exceeds its movi
Strategy · Pine Script v4 · Own pane
Aggregate BTC Volume + EMA Strat
This strategy calculates and plots aggregated Bitcoin volume collected across multiple exchanges, along with two volume moving averages in a separate pane.
GitHub stars106on the repository
Pine versionv4older, still runs
Lines of code64
Settings11inputs
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
64 lines of Pine Script v4 from Aggregate BTC Volume + EMA Strat.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.
//@license=MIT
// © MartinShkreli and tweakerID
// This strategy buys when the price crosses the Fast EMA. It can go long only
// when the price is above the slow EMA and short when is below. The exit
// is determined by volume spikes, when the volume is greater than the Volume
// MA multiplied by the assigned input multiplier. Thanks to MartinShkreli
// for the Aggregated BTC volume. There is also a Maximum Loss filter which
// should be modified depending on the traded market.
//@version=4
strategy("Aggregate BTC Volume + EMA Strat", shorttitle="BTC Vol + EMA Strat", overlay=false, default_qty_type=strategy.percent_of_equity, default_qty_value=100, initial_capital=10000, commission_value=0.04, calc_on_every_tick=false, slippage=0)
direction = input(0, title = "Direction (Long=1, Both=0, Short=-1 ", type=input.integer, minval=-1, maxval=1)
strategy.risk.allow_entry_in(direction == 0 ? strategy.direction.all : (direction < 0 ? strategy.direction.short : strategy.direction.long))
res = timeframe.period
getVolumeSym(symbolPair) => security(symbolPair, res, volume)
getVolumeSymNz(symbolPair) => nz(getVolumeSym(symbolPair))
showma = input(title="Show MA", type=input.bool, defval=true)
i_MAslow = input(100, title="Vol Slow MA Length")
i_MAfast = input(10, title="Vol Fast MA Length")
i_EMA = input(255, title="Slow EMA Length")
i_EMAFast = input(40, title="Fast EMA Length")
i_VolMult = input(4, step=.2, title="Volume MA Multiplier")
i_useMAFast = input(true, title="Use Fast MA for exit condition")
i_reverse = input(false, title="Reverse Trades")
i_AllowMaxLoss = input(true, title="Allow Maximum Loss Filter")
i_MaxLoss = input(6, title="Maximum Loss % Allowed Per Day")
//Aggregated Volume
vol = 0*volume
vol := vol + getVolumeSymNz("BINANCE:BTCUSDT")
vol := vol + getVolumeSymNz("BINANCE:BTCUSDTPERP")
vol := vol + getVolumeSymNz("OKEX:BTCUSDT")
vol := vol + getVolumeSymNz("OKEX:BTCUSDTPERP")
vol := vol + getVolumeSymNz("HUOBI:BTCUSDT")
vol := vol + getVolumeSymNz("HUOBI:BTCPERP")
vol := vol + getVolumeSymNz("FTX:BTCUSD")
vol := vol + getVolumeSymNz("FTX:BTCPERP")
vol := vol + getVolumeSymNz("KRAKEN:XBTUSD")
vol := vol + getVolumeSymNz("KRAKEN:XBTUSDPERP")
vol := vol + getVolumeSymNz("COINBASE:BTCUSD")
vol := vol + getVolumeSymNz("DERIBIT:BTCPERP")
vol := vol + getVolumeSymNz("BITFINEX:BTCUSD")
vol := vol + getVolumeSymNz("BITMEX:XBTUSD")
vol := vol + getVolumeSymNz("BITSTAMP:BTCUSD")
vol := vol + getVolumeSymNz("BYBIT:BTCUSD")
//Strategy Variables
strategy.risk.max_intraday_loss(i_AllowMaxLoss ? i_MaxLoss : 100, strategy.percent_of_equity)
EMA=ema(close, i_EMA)
EMAFast=ema(close, i_EMAFast)
MASlow=sma(vol, i_MAslow)
MAFast=sma(vol, i_MAfast)
//Trading Logic
BUY=crossover(close, EMAFast) and close > EMA
SELL=crossunder(close, EMAFast) and close < EMA
Exit=vol > (i_useMAFast ? MAFast*i_VolMult : MASlow*i_VolMult)
MAExit = strategy.position_size < 0 ? crossover(close, EMA) :
strategy.position_size > 0 ? crossunder(close, EMA) : na
//Entries
strategy.entry("long", i_reverse?false:true, when=BUY)
strategy.entry("short", i_reverse?true:false, when=SELL)
strategy.close_all(when=Exit)
//Plots
plot(vol, "Volume", color=(open > close) ? #B03838 : #008060, style=plot.style_columns)
plot(showma ? MASlow : na, color=color.yellow)
plot(showma ? MAFast : na)
Expand (76 lines)
Overview
Aggregate BTC Volume + EMA Strat enters long positions when price crosses above a fast EMA while remaining above a slow EMA, and enters short positions under the inverse conditions. Positions are closed when aggregated volume spikes above a moving average multiplied by a user-defined threshold. Inputs control EMA lengths, volume parameters, trade direction, and a daily maximum loss percentage, but individual trades lack fixed stop losses.
- Multi-exchange aggregated Bitcoin volume calculation
- Dual EMA trend and entry crossover filter
- Volume spike exit detection
- Intraday maximum loss protection rule
Details
Published by
hasnocool on GitHub
Code credit
MartinShkreli and tweakerID, as written in the script's header
Type
Strategy, Pine Script v4
Draws
Separate pane below the chart
Category
Trend, Moving averages, Volume
Markets
Crypto
Timeframes
Any timeframe
Risk Notes
- The strategy enters trades without a stop loss
Topics
analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Direction (Long=1, Both=0, Short=-1 | int | 0 | direction |
| Show MA | bool | true | showma |
| Vol Slow MA Length | int | 100 | i_MAslow |
| Vol Fast MA Length | int | 10 | i_MAfast |
| Slow EMA Length | int | 255 | i_EMA |
| Fast EMA Length | int | 40 | i_EMAFast |
| Volume MA Multiplier | int | 4 | i_VolMult |
| Use Fast MA for exit condition | bool | true | i_useMAFast |
| Reverse Trades | bool | false | i_reverse |
| Allow Maximum Loss Filter | bool | true | i_AllowMaxLoss |
| Maximum Loss % Allowed Per Day | int | 6 | i_MaxLoss |
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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