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 v4 · On the chart
Estrategia Booz
This strategy trades moving-average crossovers on the price chart.
GitHub stars106on the repository
Pine versionv4older, still runs
Lines of code63
Settings14inputs
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
63 lines of Pine Script v4 from Booz Strategy.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.
////////////////////////////////////////////////////////////////////////////////
// ArnoldTrader - Estrategia Booz
// Creado por Arnold para la Comunidad
// Versión 1.2 - Última actualización: 2023-06-22
////////////////////////////////////////////////////////////////////////////////
//@timeframe=120
// Esta es la versión de ArnoldTrader de la Estrategia Booz, creada por Arnold para la Comunidad.
// La estrategia utiliza una combinación de promedios móviles y filtros de tendencia para identificar posibles operaciones.
// También incluye entradas personalizables para el stop loss, take profit, apalancamiento y período de backtest.
// ¡Feliz trading!
//@version=4
strategy("Estrategia Booz", "", true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, margin_long=0, margin_short=0)
// ----------------------------- Inputs ------------------------------------- //
source_ma_type = input("EMA", "Tipo de MA Fuente", options=["SMA", "EMA"])
source_ma_length = input(50, "Longitud de la MA Fuente")
fast_ma_length = input(50, "Longitud de la MA Rápida")
slow_ma_length = input(100, "Longitud de la MA Lenta")
use_trend_filter = input(true, "Filtro de Tendencia")
trend_filter_ma_type = input("EMA", "Tipo de MA Filtro de Tendencia", options=["SMA", "EMA"])
trend_filter_ma_length = input(200, "Período de la MA Filtro de Tendencia")
show_mas = input(true, "Mostrar MAs")
swing_trading_mode = input(false, "Modo de Trading Swing")
// -------------------------- Calculations ---------------------------------- //
fast_ma = ema(close, fast_ma_length)
slow_ma = ema(close, slow_ma_length)
source_ma = source_ma_type == "EMA"? ema(close, source_ma_length):
sma(close, source_ma_length)
trend_filter_ma = trend_filter_ma_type == "EMA"? ema(close, trend_filter_ma_length):
sma(close, trend_filter_ma_length)
// --------------------------- Conditions ----------------------------------- //
uptrend = not use_trend_filter or close > trend_filter_ma
buy_cond = crossover(fast_ma, slow_ma) and uptrend
downtrend = not use_trend_filter or close < trend_filter_ma
sell_cond = crossunder(fast_ma, slow_ma) and downtrend
// ---------------------------- Plotting ------------------------------------ //
bgcolor(use_trend_filter and downtrend? color.red: use_trend_filter? color.green: na)
plot(show_mas? fast_ma: na, "MA Rápida", color.green)
plot(show_mas? slow_ma: na, "MA Lenta", color.red)
plot(show_mas? source_ma: na, "MA Fuente", color.purple)
plot(show_mas? trend_filter_ma: na, "MA Filtro de Tendencia", color.blue)
// ---------------------------- Trading ------------------------------------ //
// Inputs
sl_perc = input(1.0, "Stop Loss (en %)", group="Control de Backtest")/100
tp_perc = input(1.0, "Take Profit (en %)", group="Control de Backtest")/100
leverage = input(1, "Apalancamiento", maxval=100, group="Control de Backtest")
bt_start_time = input(timestamp("2021 01 01"), "Hora de inicio de Backtest", input.time, group="Control de Backtest")
bt_end_time = input(timestamp("2029 12 31"), "Hora de finalización de Backtest", input.time, group="Control de Backtest")
// Trading Window
in_trading_window = time >= bt_start_time and time <= bt_end_time
trade_qty = (strategy.equity * leverage) / close
// Long Side
strategy.entry("Compra", strategy.long, trade_qty, when=buy_cond and in_trading_window)
long_tp = strategy.position_avg_price * (1 + tp_perc)
long_sl = strategy.position_avg_price * (1 - sl_perc)
if not swing_trading_mode
strategy.exit("Cierre Compra", "Compra", limit=long_tp, stop=long_sl)
// Short Side
strategy.entry("Venta", strategy.short, trade_qty, when=sell_cond and in_trading_window)
short_tp = strategy.position_avg_price * (1 - tp_perc)
short_sl = strategy.position_avg_price * (1 + sl_perc)
if not swing_trading_mode
strategy.exit("Cierre Venta", "Venta", limit=short_tp, stop=short_sl)
Expand (76 lines)
Overview
Estrategia Booz buys when a fast exponential moving average crosses above a slow one in an uptrend, and sells on the opposite cross in a downtrend. An optional source average and a longer trend filter, each selectable as SMA or EMA, can limit entries to the prevailing direction. Position size uses full equity scaled by a leverage input inside a chosen backtest window. Percentage stop-loss and take-profit levels are calculated from the average entry price. Moving averages and trend background colors can be shown or hidden.
- Fast and slow EMA crossover signals
- Optional SMA or EMA trend filter
- Percentage stop loss and take profit
- Leverage-based equity position size
- Backtest start and end window
Details
Published by
hasnocool on GitHub
Type
Strategy, Pine Script v4
Draws
On the price chart
Category
Trend, Moving averages
Markets
Any symbol
Timeframes
H4 and above
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
analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Tipo de MA Fuente | string | EMA | source_ma_type |
| Longitud de la MA Fuente | int | 50 | source_ma_length |
| Longitud de la MA Rápida | int | 50 | fast_ma_length |
| Longitud de la MA Lenta | int | 100 | slow_ma_length |
| Filtro de Tendencia | bool | true | use_trend_filter |
| Tipo de MA Filtro de Tendencia | string | EMA | trend_filter_ma_type |
| Período de la MA Filtro de Tendencia | int | 200 | trend_filter_ma_length |
| Mostrar MAs | bool | true | show_mas |
| Modo de Trading Swing | bool | false | swing_trading_mode |
| Stop Loss (en %) | float | 1.0 | sl_perc |
| Take Profit (en %) | float | 1.0 | tp_perc |
| Apalancamiento | int | 1 | leverage |
Show all 14 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| Hora de inicio de Backtest | time | timestamp("2021 01 01") | bt_start_time |
| Hora de finalización de Backtest | time | timestamp("2029 12 31") | bt_end_time |
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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