//@version=5
strategy('GPTUSDT 1MIN', overlay=true, initial_capital = 950,
default_qty_type=strategy.percent_of_equity, default_qty_value=100,
commission_type=strategy.commission.percent, commission_value=0.06)
////////////
// Inputs //
// Pivot points inputs
leftBars = input(2, group = "Pivot Points")
rightBars = input(1, group = "Pivot Points")
// Styling inputs
prec = input(1, title='Return Precision', group =
"Weekly Table")
from_date = input.time(timestamp("01 Jan 2000 00:00 +0000"), "From Date", group =
"Weekly Table")
i_endTime = input.time(defval=timestamp('01 Jan 2099 00:00 +0000'), title='End
Time', group='Weekly Table')
prof_color = input.color(color.green, title = "Gradient Colors", group = "Weeky
Table", inline = "colors")
loss_color = input.color(color.red, title = "", group = "Weeky
Table", inline = "colors")
// Benchmark inputs
use_cur = input.bool(true, title = "Use current Symbol for Benchmark",
group = "Benchmark")
symb_bench = input.symbol('BTCUSDT', title = "Benchmark",
group = "Benchmark")
disp_bench = input.bool(false, title = "Display Benchmark?",
group = "Benchmark")
disp_alpha = input.bool(false, title = "Display Alpha?",
group = "Benchmark")
// Strategy code begins here
import TradingView/Strategy/2 as css
// Pivot Points Strategy
swh = ta.pivothigh(leftBars, rightBars)
swl = ta.pivotlow (leftBars, rightBars)
hprice = 0.0
hprice := not na(swh) ? swh : hprice[1]
lprice = 0.0
lprice := not na(swl) ? swl : lprice[1]
le = false
le := not na(swh) ? true : le[1] and close > hprice ? false : le[1]
se = false
se := not na(swl) ? true : se[1] and close < lprice ? false : se[1]
// RSI, EMA and MACD Inputs
rsi_length = input(9, title="RSI Length", group="RSI EMA MACD")
ema_length = input(10, title="EMA Length", group="RSI EMA MACD")
macd_fast_length = input(12, title="MACD Fast Length", group="RSI EMA MACD")
macd_slow_length = input(49, title="MACD Slow Length", group="RSI EMA MACD")
macd_signal_length = input(5, title="MACD Signal Length", group="RSI EMA MACD")
// RSI, EMA and MACD calculations
rsi_value = ta.rsi(close, rsi_length)
ema_value = ta.ema(close, ema_length)
[macd_line, signal_line, _] = ta.macd(close, macd_fast_length, macd_slow_length,
macd_signal_length)
// Long and Short Entry Conditions
rsi_cond = rsi_value > 50
ema_cond = close > ema_value
macd_cond = macd_line > signal_line
long_entry = rsi_cond and ema_cond and macd_cond
short_entry = not long_entry
// Using the input stop/ limit percent, we can convert to ticks and use the ticks
to level functions.
// This can be used to calculate the take profit and stop levels.
float percentStop = input.float(1.0, "Stop %", minval = 0.0, step = 0.01,
inline='percent')
float percentTP = input.float(2.185, "Limit %", minval = 0.0, step = 0.01,
inline='percent')
bool long = strategy.position_size > 0
bool short = strategy.position_size < 0
//ALERTS {
i_alert_txt_entry_long = input.text_area(defval = "", title = "Long Entry Message",
group = "Alerts")
i_alert_txt_entry_short = input.text_area(defval = "", title = "Short Entry
Message", group = "Alerts")
i_alert_txt_exit_long = input.text_area(defval = "", title = "Long Exit Message",
group = "Alerts")
i_alert_txt_exit_short = input.text_area(defval = "", title = "Short Exit Message",
group = "Alerts")
if long
css.exitPercent("exit long", percentStop, percentTP, alertMessage =
i_alert_txt_exit_long)
if short
css.exitPercent("exit short", percentStop, percentTP, alertMessage =
i_alert_txt_exit_short)
inDateRange = time >= from_date and time <= i_endTime
if le and inDateRange and long_entry
strategy.entry('long', strategy.long, stop=hprice + syminfo.mintick,
alert_message = i_alert_txt_entry_long )
if se and inDateRange and short_entry
strategy.entry('short', strategy.short, stop=lprice - syminfo.mintick,
alert_message = i_alert_txt_entry_short)
plot(hprice, color=color.new(color.green, 0), linewidth=2)
plot(lprice, color=color.new(color.red, 0), linewidth=2)
//}
