دو طرفہ ADX تجارتی حکمت عملی ایک مقداری حکمت عملی ہے جو اوسط سمتی اشاریہ (ADX) اشارے کا استعمال کرتے ہوئے دو طرفہ تجارت کو نافذ کرتی ہے۔ یہ حکمت عملی ADX اشارے اور DIPlus اور DIMinus اشارے کے مابین فرق کا حساب کتاب کرکے اور منافع کے ل long طویل اور مختصر اندراجات کا تعین کرنے کے لئے حد مقرر کرکے تجارتی سگنل تیار کرتی ہے۔
اس حکمت عملی کا بنیادی حصہ ADX اور سمت کی حرکت کے اشارے کا استعمال کرتے ہوئے رجحان کی سمت اور طاقت کا تعین کرنا ہے ، جس میں سگنل کو فلٹر کرنے اور تجارت کو خودکار کرنے کے لئے فرق کی حد کے قواعد شامل ہیں۔
حل:
دو طرفہ اے ڈی ایکس ٹریڈنگ حکمت عملی مجموعی طور پر ایک بہت ہی عملی مقداری حکمت عملی ہے۔ یہ اے ڈی ایکس اشارے کا استعمال کرتے ہوئے رجحانات کی نشاندہی کرتی ہے اور دونوں سمتوں میں تجارتی مواقع حاصل کرتی ہے۔ دریں اثنا ، یہ سگنل کی تاثیر کی توثیق کے لئے فرق کی حدوں کا استعمال کرتی ہے۔ اس حکمت عملی میں واضح اور آسان منطق ہے جس میں ترمیم اور اصلاح کرنا آسان ہے۔ یہ دو طرفہ رجحان کے بعد کا نظام ہے۔ پیرامیٹر کی اصلاح ، اسٹاپ نقصان کی حکمت عملی اور سگنل فلٹریشن کے ذریعے استحکام اور منافع میں مزید بہتری حاصل کی جاسکتی ہے۔
/*backtest start: 2023-12-01 00:00:00 end: 2023-12-31 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © MAURYA_ALGO_TRADER //@version=5 strategy("Monthly Performance", overlay=true) len = input(14) th = input(20) TrueRange = math.max(math.max(high - low, math.abs(high - nz(close[1]))), math.abs(low - nz(close[1]))) DirectionalMovementPlus = high - nz(high[1]) > nz(low[1]) - low ? math.max(high - nz(high[1]), 0) : 0 DirectionalMovementMinus = nz(low[1]) - low > high - nz(high[1]) ? math.max(nz(low[1]) - low, 0) : 0 SmoothedTrueRange = 0.0 SmoothedTrueRange := nz(SmoothedTrueRange[1]) - nz(SmoothedTrueRange[1]) / len + TrueRange SmoothedDirectionalMovementPlus = 0.0 SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - nz(SmoothedDirectionalMovementPlus[1]) / len + DirectionalMovementPlus SmoothedDirectionalMovementMinus = 0.0 SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - nz(SmoothedDirectionalMovementMinus[1]) / len + DirectionalMovementMinus DIPlus = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100 DIMinus = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100 DX = math.abs(DIPlus - DIMinus) / (DIPlus + DIMinus) * 100 ADX = ta.sma(DX, len) // plot(DIPlus, color=color.new(color.green, 0), title='DI+') // plot(DIMinus, color=color.new(color.red, 0), title='DI-') // plot(ADX, color=color.new(color.white, 0), title='ADX') // hline(th, color=color.black) //diff_1 = math.abs(DIPlus - DIMinus) diff_2 = math.abs(DIPlus-ADX) diff_3 = math.abs(DIMinus - ADX) long_diff = input(10, "Long Difference") short_diff = input(10, "Short Difference") buy_condition = diff_2 >=long_diff and diff_3 >=long_diff and (ADX < DIPlus and ADX > DIMinus) sell_condition = diff_2 >=short_diff and diff_3 >=short_diff and (ADX > DIPlus and ADX < DIMinus) if buy_condition strategy.entry("Long Entry", strategy.long, comment = "Long") if sell_condition strategy.entry("Short Entry", strategy.short, comment = "Short") // Copy below code to end of the desired strategy script /////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// // monthly pnl performance by Dr. Maurya @MAURYA_ALGO_TRADER // /////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// show_performance = input.bool(true, 'Show Monthly Monthly Performance ?', group='Monthly Performance') dash_loc_mp = input("Bottom Right","Location" ,options=["Top Right","Bottom Right","Top Left","Bottom Left", "Middle Right","Bottom Center"] ,group='Monthly Performance', inline = "performance") text_size_mp = input('Small',"Size" ,options=["Tiny","Small","Normal","Large"] ,group='Monthly Performance', inline = "performance") bg_c = input.color( color.rgb(7, 226, 242, 38), "Background Color", group='Monthly Performance') text_head_color = input.color( color.rgb(0,0,0), "Month/Year Heading Color", group='Monthly Performance') tab_month_c = input.color( color.white, "Month PnL Data Color", group='Monthly Performance') tab_year_c = input.color( color.rgb(0,0,0), "Year PnL Data Color", group='Monthly Performance') border_c = input.color( color.white, "Table Border Color", group='Monthly Performance') var table_position_mp = dash_loc_mp == 'Top Left' ? position.top_left : dash_loc_mp == 'Bottom Left' ? position.bottom_left : dash_loc_mp == 'Middle Right' ? position.middle_right : dash_loc_mp == 'Bottom Center' ? position.bottom_center : dash_loc_mp == 'Top Right' ? position.top_right : position.bottom_right var table_text_size_mp = text_size_mp == 'Tiny' ? size.tiny : text_size_mp == 'Small' ? size.small : text_size_mp == 'Normal' ? size.normal : size.large ///////////////// strategy.initial_capital = 50000 ///////////////////////////////////////////// // var bool new_month = na new_month = ta.change(month) //> 0 ? true : false newest_month = new_month and strategy.closedtrades >= 1 // profit only_profit = strategy.netprofit initial_balance = strategy.initial_capital // month number var int month_number = na month_number := (ta.valuewhen(newest_month, month(time), 0)) //and month(time) > 1 ? (ta.valuewhen(newest_month, month(time), 0) - 1) : 12 //1 to 12 //month_year var int month_time = na month_time := ta.valuewhen(newest_month, time, 0) - 2419200000 var int m_counter = 0 if newest_month m_counter += 1 // current month values var bool new_year = na new_year := ta.change(year) curr_m_pnl = only_profit - nz(ta.valuewhen(newest_month, only_profit, 0), 0) curr_m_number = newest_month ? ta.valuewhen(newest_month, month(time), 0) : month(time) curr_y_pnl = (only_profit - nz(ta.valuewhen(new_year, only_profit, 0),0)) var float [] net_profit_array = array.new_float() var int [] month_array = array.new_int() var int [] month_time_array = array.new_int() if newest_month array.push(net_profit_array, only_profit) array.push(month_array, month_number) array.push(month_time_array, month_time) var float [] y_pnl_array = array.new_float() var int [] y_number_array = array.new_int() var int [] y_time_array = array.new_int() newest_year = ta.change(year) and strategy.closedtrades >= 1 get_yearly_pnl = nz(ta.valuewhen(newest_year, strategy.netprofit, 0) - nz(ta.valuewhen(newest_year, strategy.netprofit, 1), 0), 0) get_m_year = ta.valuewhen(newest_year, year(time), 1) get_y_time = ta.valuewhen(newest_year, time, 0) if newest_year array.push(y_pnl_array, get_yearly_pnl) array.push(y_number_array, get_m_year) array.push(y_time_array, get_y_time) var float monthly_profit = na var int column_month_number = na var int row_month_time = na var testTable = table.new(position = table_position_mp, columns = 14, rows = 40, bgcolor = bg_c, border_color = border_c, border_width = 1) if barstate.islastconfirmedhistory and show_performance table.cell(table_id = testTable, column = 0, row = 0, text = "YEAR", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 1, row = 0, text = "JAN", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 2, row = 0, text = "FEB", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 3, row = 0, text = "MAR", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 4, row = 0, text = "APR", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 5, row = 0, text = "MAY", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 6, row = 0, text = "JUN", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 7, row = 0, text = "JUL", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 8, row = 0, text = "AUG", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 9, row = 0, text = "SEP", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 10, row = 0, text = "OCT", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 11, row = 0, text = "NOV", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 12, row = 0, text = "DEC", text_color =text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 13, row = 0, text = "YEAR P/L", text_color = text_head_color, text_size=table_text_size_mp) for i = 0 to (array.size(y_number_array) == 0 ? na : array.size(y_number_array) - 1) row_y = year(array.get(y_time_array, i)) - year(array.get(y_time_array, 0)) + 1 table.cell(table_id = testTable, column = 13, row = row_y, text = str.tostring(array.get(y_pnl_array , i), "##.##") + '\n' + '(' + str.tostring(array.get(y_pnl_array , i)*100/initial_balance, "##.##") + ' %)', bgcolor = array.get(y_pnl_array , i) > 0 ? color.green : array.get(y_pnl_array , i) < 0 ? color.red : color.gray, text_color = tab_year_c, text_size=table_text_size_mp) curr_row_y = array.size(month_time_array) == 0 ? 1 : (year(array.get(month_time_array, array.size(month_time_array) - 1))) - (year(array.get(month_time_array, 0))) + 1 table.cell(table_id = testTable, column = 13, row = curr_row_y, text = str.tostring(curr_y_pnl, "##.##") + '\n' + '(' + str.tostring(curr_y_pnl*100/initial_balance, "##.##") + ' %)', bgcolor = curr_y_pnl > 0 ? color.green : curr_y_pnl < 0 ? color.red : color.gray, text_color = tab_year_c, text_size=table_text_size_mp) for i = 0 to (array.size(net_profit_array) == 0 ? na : array.size(net_profit_array) - 1) monthly_profit := i > 0 ? ( array.get(net_profit_array, i) - array.get(net_profit_array, i - 1) ) : array.get(net_profit_array, i) column_month_number := month(array.get(month_time_array, i)) row_month_time :=((year(array.get(month_time_array, i))) - year(array.get(month_time_array, 0)) ) + 1 table.cell(table_id = testTable, column = column_month_number, row = row_month_time, text = str.tostring(monthly_profit, "##.##") + '\n' + '(' + str.tostring(monthly_profit*100/initial_balance, "##.##") + ' %)', bgcolor = monthly_profit > 0 ? color.green : monthly_profit < 0 ? color.red : color.gray, text_color = tab_month_c, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 0, row =row_month_time, text = str.tostring(year(array.get(month_time_array, i)), "##.##"), text_color = text_head_color, text_size=table_text_size_mp) curr_row_m = array.size(month_time_array) == 0 ? 1 : (year(array.get(month_time_array, array.size(month_time_array) - 1))) - (year(array.get(month_time_array, 0))) + 1 table.cell(table_id = testTable, column = curr_m_number, row = curr_row_m, text = str.tostring(curr_m_pnl, "##.##") + '\n' + '(' + str.tostring(curr_m_pnl*100/initial_balance, "##.##") + ' %)', bgcolor = curr_m_pnl > 0 ? color.green : curr_m_pnl < 0 ? color.red : color.gray, text_color = tab_month_c, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 0, row =curr_row_m, text = str.tostring(year(time), "##.##"), text_color = text_head_color, text_size=table_text_size_mp) //============================================================================================================================================================================