Bot Reversal-Band-Riot-P1 ETHUSDT.P BYBIT 4H LONG E SHORT

                                                                // Bot Reversal Band Riot Period 1 10-03-2025 ETHUSDT.P BYBIT 4H LONG E SHORT //
                                                          // Datafeed Cambiato / Periodi Backtest Cambiati / Inputs Cambiati / Devizione Short Upper Aggiunto, //

// RIOTTIMIZZAZIONE PERIODICA 1 DELLA ORIGINALE REVERSAL BAND
// IL DATAFEED COMPLETO = (18/08/2017 26/02/2025)
// NUOVI DATI DI SVILUPPO DATAFEED ETH/USDT BINANCE + ETH/USDT.P BYBIT 4H  STORICO INIZIALE BINANCE PER POI PROSEGUIRE CON BYBIT
// (Sviluppo Dati Exchange = BINANCE + BYBIT) (BINANCE Dal=18/08/2017 Al 21/10/2020) (BYBIT Dal=21/10/2020 Al 26/02/2025)
// SU TRADINGVIEW ORARIO BORSA GMT
// BARSBACK: 50

// NUOVE DATE IN SAMPLE E OUT OF SAMPLE
//Il data feed completo: 18/08/2017 19/02/20265
//In Sample: Inizio 18/08/2017 Fine 26/02/2025
//Out Of Sample: Inizio 26/02/2025 Fine 19/02/2026


//Il trading system completo - Bot Reversal Band Riot Period 1 10-03-2025 ETHUSDT.P BYBIT 4H LONG E SHORT
// (Exchange= BYBIT) (Sottostante ETH-USDT.P) (Timeframe= 4H) (Direzione= LONG E SHORT) (Swing Posizione= SI) (Esclusione Ore=NO) (Esclusione Giorni=NO) (Esclusione Mesi=APRILE/AGOSTO)
// (Take Profit Long/Short= Market Close Sopra/Sotto Bande) (Take Profit Limit Long= +12% Tradingview-Hub) (Take Profit Limit Short= +12% Tradingview-Hub
// (Stop Loss Limit Long= -7.6% Tradingview-Hub) (Stop Loss Limit Short= -7% Tradingview-Hub) (Trailing Stop=NO) (Stop Emergenza: NO)
// (Max DD Concesso = 15% Media Max Drawdown 2°nda Deviazione Standard Simulazione Montecalo Python
// (Money Management = 25% Del Capitale Tradestation)
// (Money Management = 20% Del Capitale Tradingview) Preso Dal 15% Media Max Drawdown 2°nda Deviazione Standard Simulazione Montecarlo Python

// (Progettatta Il=07/07/23)
// (In Sample Dal=17/08/2017 26/02/2025) (Out Of Sample Dal1 26/02/2025 Al 19/02/2026)
// (Progettatta Il=27/02/2026)

// ATTENZIONE, ALCUNE POSIZIONI SONO DIFFERENTI DA TRADINGVIEW PER VIA DELLE CANDELE INIZIALI CHE SONO DI BINANCE CHE POTREBBERO AVERE VALORI LEGGERENTE DIVERSI.
// ATTENZIONE, ALCUNE VOLTE, MOLTO RARAMENTE LE MEDIE POTREBBERO DIFFERIRE SEMPRE PER VIDE DELLE CANDELE INIZIALI CHE SONO DI BINANCE CHE POTREBBERO AVERE VALORI LEGGERENTE DIVERSI.
// ATTENZIONE, I VALORI DELL'ADX A VOLTE POSSONO ESSERE DIFFERENTI PER VIA DELLE CANDELE INIZIALI CHE SONO DI BINANCE PER POI RIASSESTARSI DI NUOVO.


//@version=5
//1. Strategia
strategy(title='Bot Reversal-Band-Riot-P1 ETH/USDT.P BYBIT 4H LONG E SHORT', overlay=true,
     pyramiding=0,
     initial_capital=500,
     commission_type=strategy.commission.percent,
     commission_value=0.1,
     slippage=3,
     default_qty_type=strategy.percent_of_equity,
     default_qty_value=20)


// Input
input_stop_loss_long = input.float(title='stop_loss_long', defval=7.6, minval=0, maxval=100, step=0.1, group='Stop&Target')
input_stop_loss_short = input.float(title='stop_loss_short', defval=7, minval=0, maxval=100, step=0.1, group='Stop&Target')
input_target_long = input.float(title='target_long', defval=12, minval=0, maxval=100, step=0.1, group='Stop&Target')
input_target_short = input.float(title='target_short', defval=12, minval=0, maxval=100, step=0.1, group='Stop&Target')
input_sma_long = input.int(title='Media BB Long', defval=30, minval=0, maxval=50, group='Bande')
input_sma_short = input.int(title='Media BB Short', defval=24, minval=0, maxval=50, group='Bande')
deviazione_long = input.float(title='Deviazione Long', defval=1.5, step=0.1, group='Bande')
deviazione_short = input.float(title='Deviazione Short', defval=1.5, step=0.1, group='Bande')
devizione_short_lower = input.float(title='Deviazione Short Lower', defval=1.81, step=0.1, group='Bande')
input_ema_long = input.int(title='Media Long', defval=55, minval=0, maxval=500, group='Medie')
input_ema_short = input.int(title='Media Short', defval=55, minval=0, maxval=500, group='Medie')
lunghezza_adx_long = input.int(title='Lunghezza ADX Long', defval=10, group='ADX')
lunghezza_adx_short = input.int(title='Lunghezza ADX Short', defval=9, group='ADX')
differenziale_adx_long = input.int(title='Differenziale ADX Long', defval=35, group='ADX')
differenziale_adx_short = input.int(title='Differenziale ADX Short', defval=31, group='ADX')
only_Long = input.bool(title='Solo long trade', defval=false, inline='1', group='Direzione')
only_Short = input.bool(title='Solo short trade', defval=false, inline='1', group='Direzione')
input_risk = input.float(title='Percentuale rischio', defval=20, minval=0, maxval=100, step=0.01)


// Calcolo del range del backtest
startDate = input.int(title='Start Date', defval=17, minval=1, maxval=31, group='Periodo')
startMonth = input.int(title='Start Month', defval=08, minval=1, maxval=12, group='Periodo')
startYear = input.int(title='Start Year', defval=2000, minval=1800, maxval=2100, group='Periodo')

endDate = input.int(title='End Date', defval=01, minval=1, maxval=31, group='Periodo')
endMonth = input.int(title='End Month', defval=01, minval=1, maxval=12, group='Periodo')
endYear = input.int(title='End Year', defval=2121, minval=1800, maxval=2150, group='Periodo')


inDateRange = time >= timestamp(syminfo.timezone, startYear, startMonth, startDate, 0, 0) and time < timestamp(syminfo.timezone, endYear, endMonth, endDate, 0, 0)


// Start Hour Range Trading Non Attivo /////////////////////
//hourTrading = input(title='sessione valida di trading', defval='0600-2300:23456')
//hourRangeTrading = time(timeframe.period, hourTrading)


//Calcolo degli indicatori

// Medie Mobili
ema_long = ta.ema(close, input_ema_long)
ema_short = ta.ema(close, input_ema_short)
plot(ema_long, color=color.new(color.green, 0), title='Ema Long', linewidth=1)
plot(ema_short, color=color.new(color.red, 0), title='Ema Short', linewidth=1)


//  Bollinger Bands Long
middle_Band_long = ta.sma(close, input_sma_long)
deviazione_st_long = deviazione_long * ta.stdev(close, input_sma_long)
UpperBand_long = middle_Band_long + deviazione_st_long
LowerBand_long = middle_Band_long - deviazione_st_long
plot(middle_Band_long, color=color.new(color.green, 0), title='B_middle_Band_Long', linewidth=2)
plot(UpperBand_long, color=color.new(color.green, 0), style=plot.style_circles, linewidth=3, title='UpperBandLong')
plot(LowerBand_long, color=color.new(color.green, 0), style=plot.style_circles, linewidth=3, title='LowerBandLong')


// Bollinger Bands Short
middle_Band_short = ta.sma(close, input_sma_short)
deviazione_st_short = deviazione_short * ta.stdev(close, input_sma_short)
deviazione_st_short_lower = devizione_short_lower * ta.stdev(close,input_sma_short)
UpperBand_short = middle_Band_short + deviazione_st_short_lower
LowerBand_short = middle_Band_short - deviazione_st_short
plot(middle_Band_short, color=color.new(color.red, 0), title='B_middle_Band_Short', linewidth=2)
plot(UpperBand_short, color=color.new(color.red, 0), style=plot.style_circles, linewidth=3, title='UpperBandShort')
plot(LowerBand_short, color=color.new(color.red, 0), style=plot.style_circles, linewidth=3, title='LowerBandShort')


// ADX Long
[di_pos_long, di_neg_long, adx_long] = ta.dmi(lunghezza_adx_long, lunghezza_adx_long)
plot(adx_long, color=color.new(color.blue, 0), title='adx long')

//ADX Short
[di_pos_short, di_neg_short, adx_short] = ta.dmi(lunghezza_adx_short, lunghezza_adx_short)
plot(adx_short, color=color.new(color.red, 0), title='adx short')


// Money Menagment e stop loss

// size = strategy.equity * input_risk / 100
// nr_contratti = size / close
// stop_loss_long = math.round(size / syminfo.mintick / 100 * input_stop_loss_long) / nr_contratti
// stop_loss_short = math.round(size / syminfo.mintick / 100 * input_stop_loss_short) / nr_contratti
// target_long = math.round(size / syminfo.mintick / 100 * input_target_long) / nr_contratti
// target_short = math.round(size / syminfo.mintick / 100 * input_target_short) / nr_contratti


//Variabili Stop Long e Short
stop_loss_long_price = strategy.opentrades.entry_price(0) - (strategy.opentrades.entry_price(0) * input_stop_loss_long) / 100
stop_loss_long = (strategy.opentrades.entry_price(0) - stop_loss_long_price) / syminfo.mintick
take_profit_long_price = (strategy.opentrades.entry_price(0) + ((strategy.opentrades.entry_price(0) * input_target_long) / 100))
take_profit_long = (take_profit_long_price - strategy.opentrades.entry_price(0)) / syminfo.mintick

//plot(stop_loss_long, title = "sl_long_ticks", color=color.purple)


stop_loss_short_price = strategy.opentrades.entry_price(0) + (strategy.opentrades.entry_price(0) * input_stop_loss_short) / 100
stop_loss_short = (stop_loss_short_price - strategy.opentrades.entry_price(0)) / syminfo.mintick
take_profit_short_price = (strategy.opentrades.entry_price(0) - ((strategy.opentrades.entry_price(0) * input_target_short) / 100))
take_profit_short =(strategy.opentrades.entry_price(0) - take_profit_short_price) / syminfo.mintick

//plot(stop_loss_short, title = "sl_short_ticks", color=color.purple)


// plot(strategy.position_size != 0 ? strategy.position_avg_price : na, color=strategy.position_size > 0 ? color.blue : strategy.position_size < 0 ? color.red : na, style=plot.style_linebr, title='entry_price')  // stampa l'entry price in rosso se short in blu se long
// plot(strategy.position_size > 0 ? strategy.position_avg_price + take_profit_long * 0.01 * 10 : strategy.position_size < 0 ? strategy.position_avg_price - take_profit_short * 0.01 * 10 : na, color=color.new(color.green, 0), style=plot.style_cross, linewidth=2, title='tk_limit')
// plot(strategy.position_size > 0 ? strategy.position_avg_price - stop_loss_long * 0.01 * 10 : strategy.position_size < 0 ? strategy.position_avg_price + stop_loss_short * 0.01 * 10 : na, color=color.new(color.red, 0), style=plot.style_cross, linewidth=2, title='sl_limit')


plot(strategy.position_size != 0 ? strategy.opentrades.entry_price(0) : na , color=strategy.position_size > 0 ? color.blue : strategy.position_size < 0 ? color.red : na, style=plot.style_linebr, title="entry_price") // stampa l'entry price in rosso se short in blu se long
plot(strategy.position_size > 0 ?  take_profit_long_price : strategy.position_size < 0 ? take_profit_short_price: na, color=color.green, style=plot.style_cross, linewidth=2, title="tk_limit")
plot(strategy.position_size > 0 ?  stop_loss_long_price : strategy.position_size < 0 ? stop_loss_short_price: na, color=color.red, style=plot.style_cross, linewidth=2, title="sl_limit")

bgcolor(strategy.position_size > 0 ? color.green : strategy.position_size < 0 ? color.red : na, transp=90) // sfondo verde quando siamo long, sfondo rosso quando siamo short, no sfondo quando non siamo in posizione


// >>>>>>>>>>>>>> Start Detecting No Trading Allowed <<<<<<<<<<<<<<<<<

// Plot No Trading Allowed giorni da 1 a 7 1 è Domenica. Mesi da 1 a 12 1 è Gennaio

mesi_esclusi = month(time)
plotshape(mesi_esclusi[1] == 4 ? mesi_esclusi : na, color=color.new(color.yellow, 0), title='mesi_esclusi')
plotshape(mesi_esclusi[1] == 8 ? mesi_esclusi : na, color=color.new(color.yellow, 0), title='mesi_esclusi')

// >>>>>>>>>>>>>> End Detecting No Trading Allowed <<<<<<<<<<<<<<<<<


// >>>>>>>>>>>>>> Start Calcolo Drawdown Operazion Chiuse <<<<<<<<<<<<<<<<<

// Blance Closed Equity
balance = strategy.initial_capital + strategy.netprofit
plot(balance, title="Balance Closed Equity", display = display.data_window)

// Highest Equity Closed Equity
GetEquityHigh() =>
    var highestEquity = strategy.initial_capital
    highestEquity := math.max(highestEquity, (strategy.initial_capital + strategy.netprofit))
plot(GetEquityHigh(), "Highest Equity Closed Equity", display = display.data_window)

// Drawdown Relativo In $ (Closed Equity)
relativeDrawdownMonetary = GetEquityHigh() - balance
plot(relativeDrawdownMonetary, title="Drawdown Relativo $ Closed Equity", display=display.data_window)

// Drawdown Relativo In % (Closed Equity)
relativeDrawdownPercent = (GetEquityHigh() != 0) ? (GetEquityHigh() - balance) / GetEquityHigh() * 100 : 0.0
plot(relativeDrawdownPercent, title="Drawdown Relativo % Closed Equity", display=display.data_window)

// Max Drawdown Absolute $ Closed Equity
var float maxDrawdownMonetary = 0.0
MaxDrawdownAbsoluteMonetary = (GetEquityHigh() - balance)
maxDrawdownMonetary := math.max(maxDrawdownMonetary, MaxDrawdownAbsoluteMonetary)
plot(maxDrawdownMonetary, title="Max Drawdown $ Closed Equity", display=display.data_window)

// Max Drawdown Percentuale Closed Equity
var float maxDrawdownPercent = 0.0
MaxDrawdownAbsolutePercent = (GetEquityHigh() != 0) ? (GetEquityHigh() - balance) / GetEquityHigh() * 100 : 0.0
maxDrawdownPercent := math.max(maxDrawdownPercent, MaxDrawdownAbsolutePercent)
plot(maxDrawdownPercent, title="Max Drawdown % Closed Equity", display=display.data_window)

// Plot Linee
// plot(balance, title="Balance Closed Equity", style=plot.style_line)
// plot(GetEquityHigh(), title="Highest Equity Closed Equity", style=plot.style_line)
// plot(relativeDrawdownMonetary, title="Drawdown Relativo $ Closed Equity", style=plot.style_line)
// plot(relativeDrawdownPercent, title="Drawdown Relativo % Closed Equity", style=plot.style_line)
// plot(maxDrawdownMonetary, title="Max Drawdown $ Closed Equity", style=plot.style_line)
// plot(maxDrawdownPercent, title="Max Drawdown % Closed Equity", style=plot.style_line)

// >>>>>>>>>>>>>> End Calcolo Drawdown Operazion Chiuse <<<<<<<<<<<<<<<<<


//Condizione Entry Long
condEntryLong = ta.crossover(close, LowerBand_long) and close < ema_long and adx_long < differenziale_adx_long and not only_Short and inDateRange  and month != 4 and month != 8

//Condizione Uscita Long
condExitLong = ta.crossover(close, UpperBand_long)



// Condizione Entry Short
condEntryShort = ta.crossunder(close, UpperBand_short) and close > ema_short and adx_short < differenziale_adx_short and not only_Long and inDateRange  and month != 4 and month != 8

// Condizione Exit Short
condExitShort = ta.crossunder(close, LowerBand_short)


buy_command = '{"pair":"ETHUSDT","unitsPercent":"20","unitsType":"percentBalance","exchange":"Bybit","apiKey":"ReversBandRiotP1","token":"e6d67d6e-1a5f-4e53-a9fd-6276dfa2a34b","alertTimestamp":"{{ticker}}-{{time}}","isBuy":true,"isMarket":true,"stopLossPercent":"-7.6","stopLossType":"percent","leverage":"1","marginType":"ISOLATED","targets":[{"idx":1,"amount":"100","takeProfitPercent":"12"}],"targetType":"percent","targetAmountInPercent":true,"closeCurrentPosition":true,"preventPyramiding":true,"cancelAllOrders":true}'
sell_command = '{"pair":"ETHUSDT","unitsPercent":"20","unitsType":"percentBalance","exchange":"Bybit","apiKey":"ReversBandRiotP1","token":"e6d67d6e-1a5f-4e53-a9fd-6276dfa2a34b","alertTimestamp":"{{ticker}}-{{time}}","isSell":true,"isMarket":true,"stopLossPercent":"-7","stopLossType":"percent","leverage":"1","marginType":"ISOLATED","targets":[{"idx":1,"amount":"100","takeProfitPercent":"12"}],"targetType":"percent","targetAmountInPercent":true,"closeCurrentPosition":true,"preventPyramiding":true,"cancelAllOrders":true}'
close_command = '{"pair":"ETHUSDT","exchange":"Bybit","apiKey":"ReversBandRiotP1","token":"e6d67d6e-1a5f-4e53-a9fd-6276dfa2a34b","alertTimestamp":"{{ticker}}-{{time}}","isClose":true}'

// // ============== Email Protection ===============

// L'email protection invia ordini senza webhook oppure se gli webhook sono abilitati ma per qualche motivo l'ordine non viene eseguito per errore verrà inviato un ordine di backup dopo 5 secondi da TV-Hub.org

// Documentazione: https://www.tv-hub.org/Home/Documentation#email-signals
// Quando settiamo l'email di tradingview per abilitare l'email protection mettere temporaneamente la lingua in inglese su tradingview e poi riportarla in italiano altrimenti il codice di verifica su tv-hub non arriva.
// Email Protection da aggiungere a tutte le stringhe se utilizzata l'email protection "alertTimestamp":"{{ticker}}-{{time}}"
// Esempio Email Protection buy = '{"pair":"ETHUSDT","unitsPercent":"8.5","unitsType":"percentBalance","exchange":"Bybit","apiKey":"OverTheClouds","token":"e6d67d6e-1a5f-4e53-a9fd-6276dfa2a34b","isBuy":true,"isMarket":true,"leverage":"1","marginType":"ISOLATED","closeCurrentPosition":true,"preventPyramiding":true,"cancelAllOrders":true,"alertTimestamp":"{{ticker}}-{{time}}}'
// Abilitare pulsante invia testo normale "Invia testo normale ad un indirizzo e-mail alternativo" quando si crea alert in notifiche dell'alert oltre al solito webook

//entrata e uscita Long
if condEntryLong // strategy.opentrades == 0
    strategy.entry('operazioneLong', strategy.long, alert_message = "Open Long Position", comment = buy_command)

if strategy.opentrades ==1
    strategy.exit('SL e TP', from_entry='operazioneLong', loss=stop_loss_long, profit=take_profit_long, alert_message = "Your Long SL-TP Has Been Triggered.", comment = close_command)

if condExitLong and strategy.opentrades == 1
    strategy.close(id='operazioneLong', alert_message = "Close Long Position", comment = close_command)

//entrata e uscita Short
if condEntryShort //and strategy.opentrades == 0
    strategy.entry('operazioneShort', strategy.short, alert_message = "Open Short position", comment = sell_command)

if strategy.opentrades ==1
    strategy.exit('SL e TP', from_entry='operazioneShort', loss=stop_loss_short, profit=take_profit_short, alert_message = "Your Short SL-TP Has Been Triggered.", comment = close_command)

if condExitShort and strategy.opentrades == 1
    strategy.close(id='operazioneShort', alert_message = "Close Short Position", comment = close_command)

// Nome Alert: Reversal-Band-Riot-P1 ETH/USDT.P BYBIT 4H
// Commento Alert: {{strategy.order.comment}}
// Webhook Classico Più Sicuro Ma Più Lento: https://alerts.tv-hub.org
// Webhook Nuovo Meno Sicuro Ma Più Veloce: https://alerts.tv-hub.org/api/ExecuteTradeSignalClassic


// ----------------- Inizio Tabella risultati mensili. Per visualizzare andare nelle impostazioni proprietà e spuntare ad ogni tick -----------------

// new_month = month(time) != month(time[1])
// new_year  = year(time)  != year(time[1])

// eq = strategy.equity

// bar_pnl = eq / eq[1] - 1

// cur_month_pnl = 0.0
// cur_year_pnl  = 0.0

// // Current Monthly P&L
// cur_month_pnl := new_month ? 0.0 :
//                  (1 + cur_month_pnl[1]) * (1 + bar_pnl) - 1

// // Current Yearly P&L
// cur_year_pnl := new_year ? 0.0 :
//                  (1 + cur_year_pnl[1]) * (1 + bar_pnl) - 1

// // Arrays to store Yearly and Monthly P&Ls
// var month_pnl  = array.new_float(0)
// var month_time = array.new_int(0)

// var year_pnl  = array.new_float(0)
// var year_time = array.new_int(0)

// last_computed = false

// if (not na(cur_month_pnl[1]) and (new_month or barstate.islast))
//     if (last_computed[1])
//         array.pop(month_pnl)
//         array.pop(month_time)

//     array.push(month_pnl , cur_month_pnl[1])
//     array.push(month_time, time[1])

// if (not na(cur_year_pnl[1]) and (new_year or barstate.islast))
//     if (last_computed[1])
//         array.pop(year_pnl)
//         array.pop(year_time)

//     array.push(year_pnl , cur_year_pnl[1])
//     array.push(year_time, time[1])

// last_computed := barstate.islast ? true : nz(last_computed[1])

// // Monthly P&L Table
// var monthly_table = table(na)
// prec      = input(2, title = "Return Precision")

// if (barstate.islast)
//     monthly_table := table.new(position.bottom_right, columns = 14, rows = array.size(year_pnl) + 1, bgcolor=#0F0F0F,border_width=1,border_color=#000000)

//     table.cell(monthly_table, 0,  0, "",     text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 1,  0, "Jan",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 2,  0, "Feb",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 3,  0, "Mar",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 4,  0, "Apr",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 5,  0, "May",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 6,  0, "Jun",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 7,  0, "Jul",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 8,  0, "Aug",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 9,  0, "Sep",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 10, 0, "Oct",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 11, 0, "Nov",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 12, 0, "Dec",  text_color=#D3D3D3, bgcolor=#0F0F0F)
//     table.cell(monthly_table, 13, 0, "Year", text_color=#D3D3D3, bgcolor=#0F0F0F)


//     for yi = 0 to array.size(year_pnl) - 1
//         table.cell(monthly_table, 0,  yi + 1, str.tostring(year(array.get(year_time, yi))), text_color=#D3D3D3, bgcolor=#0F0F0F)

//         y_color = array.get(year_pnl, yi) > 0 ? color.lime : color.red
//         table.cell(monthly_table, 13, yi + 1, str.tostring(math.round(array.get(year_pnl, yi) * 100, prec)), bgcolor = y_color)

//     for mi = 0 to array.size(month_time) - 1
//         m_row   = year(array.get(month_time, mi))  - year(array.get(year_time, 0)) + 1
//         m_col   = month(array.get(month_time, mi))
//         m_color = array.get(month_pnl, mi) > 0 ? color.lime : color.red

//         table.cell(monthly_table, m_col, m_row, str.tostring(math.round(array.get(month_pnl, mi) * 100, prec)), bgcolor = m_color)

// ----------------- Fine Tabella risultati mensili. Per visualizzare andare nelle impostazioni proprietà e spuntare ad ogni tick -----------------