Евгений (Все сообщения пользователя)

Чтобы ее воспроизвести надо выставить РЕАЛЬНЫЕ заявки или совершить сделки

а при выборе на компьютере правильно

Да что то с форумом картинки при перетаскивании в область неправильно вставляются

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Так как Вы Анастасия тут новенькая, я постараюсь объяснить как сделать звуки по сделкам и др.

Версия терминала 8.6.0.97
Вот скан окна где это можно сделать

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Да точно модуль не добавил Условие было если < 0, то - (-5) , давало +

Похоже я ошибся тут, модуль числа не добавил

свои настройки  своего индикатора на вкладке свойства
Например вместо отрицательного значения мне пришлось добавить 2 настройки с положительными значениями так как отрицательные не проходят:

mode_up = 0, -- сдвиг линий по вертикали вверх
mode_down = 0, -- сдвиг линий по вертикали вниз,

           if mode_up > 0 then
              ........+mode_up
           elseif mode_down > 0 then
             ........ -mode_down
           end

Вот подтверждение что мое рабочее место такое же как у всех

?

Если установлен звук заявок, стоп-заявок или сделок, при подключении к серверу при перезагрузке квика, звуки опять воспроизводятся в момент загрузки, хотя реальных сделок и выставлений заявок нет. То есть звуки возпроизводятся при наличии данных за сегодя в таблицах заявок и сделок. И каждый раз при новом подключении они воспроизводятся. И каждый раз при загрузке кажеться что скрипт делает что то не то, а оказывается это звуки из прошлого! Ну и очередной вопрос

Для чего так сделано, с какой целью?

Можно сделать такое разработчики? Или как то закрепить шаг ценовой сетки инструмента по другому?

В екселе можно также постороить индикаторы на этих свечах.

Думаю можно попробовать посмотреть на них в екселе

А в случае выхода цены из фиксированного диапазона сетки, автоматически пересчитывать сетку на следующий диапазон с зафиксированным шагом сетки рассчитанным как

шаг = максимум - минимум

Уважаемые разработчики Quik в вашем терминале полностью отсутствует такое понятие как масштаб. То есть глядя на два или больше графиков цены одного инструмента не возможно определить сравнивая их между собой где какой таймфрейм установлен. Только вглядевшись в  название графика можно это понять, 1 минута, 30 минут или Недельный.

Сейчас у вас есть в настройках правой и левой шкалы графика  максимум и минимум, в котором определяется координаты области видимости в ценах инструмента.

Если сделать одинаковые минимумы и максимумы на графиках разных таймфреймов одного инструмента то теперь уже визуально можно определить по размерам свечей на каком графике больший таймфрейм а на каком меньший.

Нужно:
Автоматизировать этот процесс.

Сделать возможность отображение сетки инструмента одинаковым на всех графиках инструмента(одинаковые минимумы и максимумы)

То есть иметь возможность связать графики одного инструмента одинаковым масштабом ценовой сетки

Вот например графики 1 час, 15 мин, 1 мин на все графиках установлены одинаковые минимумы и максимумы для правой шкалы
(непонятно для чего еще и для левой сделана такая функция и чем она отличается)
В этом случае авто масштабирование отключается, так как сетка жестко зафиксирована и цена как видно находится на одном уровне
Вот это и есть правильная технология работы в одном масштабе ценовой сетки и так и должно быть.
То есть иметь возможность установки одинакового размера сетки для всех графиков инструмента.












Вот вариант как не должно быть, тут совсем визуально непонятно где какой таймфрейм, графики расположены точно так же 1 час, 15 ми, 1 мин



 

Нет не стал я этим окном заниматься пусть в квике будет

Да большинству требуется вобше минимальный функционал, они дальше своего носа ничего не видят, и не пользуются скриптами, а вот если человек уже 10 лет пользуется вашей программой и выявляет ошибки и предлагает доработки, то его предложения никак не должны попадать категории большинства или количественной оценки. Но если предложения не реализуются, то и смысла предлагать их нет. Любые регламенты меняются на раз два, при необходимости, вопрос в том сколько было реализовано пожеланий и какие за последний год?

Версий вышло мильен, но все они сделаны не по желанию пользователей, а при острой необходимости.

Ваша оценка и система отбора (если она вобще существует) предложений не выдерживает никакой критики.
Вы исправили эти ошибки с объемами в новой версии ?   https://forum.quik.ru/messages/forum1/message52326/topic6189/#message52326

Предлагаю удалить данный функционал о предложениях с этого форума, так как он не имеет никакого смысла.
И не морочить голову регистрацией предложений и признанием их потенциально полезными.

Прошу прощения за то что вклиниваюсь в этот конструктивный диалог, а что дает регистрация пожеланий кроме самой регистрации?

Когда это будет исполнено?

Ваша работа заключается в регистрации предложений или и в исполнении их тоже?
Судя по тому сколько сообщений  регистрируется и исполняется это лотерея, и по какому принципу выбираются те или иные предложения никому не известно. Люди пользующиеся вашей программой предложили уже просто громадное кол-во предложений и все они зарегистрированы, но не исполнены. Так как никакой статистики вы не ведете и не выдаете. Статистики найденных и исправленных ошибок тоже нет. И к чему эта регистрация и потеря времени на эти предложения?

Все что надо знать о реализации наших пожеланий. Исчерпывающий ответ. Предлагаю не предлагать вобще ничего.

Думаю что лет через 100 может быть

Да нет мышка наверное виновата, ну не может же квик вклиниваться в процесс мышки

версия 8.6.0.97

Все время выскакивает инструмент линейка и наносится на какой нибудь график что за...?

Тоже не удалось повторить

Настроена клавиша Del или " , " на команду ЗАКРЫТЬ ВСЕ  она и не сработала

При установленной опции быстрый ввод заявки горячие клавиши не работают, и окно настроек вызывается только ctrl+E

сделайте уже вот эту опцию https://forum.quik.ru/messages/forum8/message55177/topic6436/#message55177, тыкать в стакан вобще не удобно абсолютно

окон, таблиц, вкладок

Например удаление индикаторов, закрытие графиков

Любое последнее действие, что тут непонятного

Чтобы отменить действие надо выйти из программы и снова зайти не сохраняя? Все правильно?
Разработчики вы не находите ее отсутствие несколько неудобным?

А какой смысл? Мне это не интересно.

Я буду писать только косяки разборов больше делать не буду, мне это не интересно, заведите себе отдел тестировщиков пусть ищут за деньги. Стакан сломался внезапно перестали работать горячие клавиши и открываться окно настроек все.
Хотел закрыть позицию НЕ ПОЛУЧИЛОСЬ  !!! Пока разбирался потерял деньги!

Ты бы изучил как вставить картинки! А то как же мы тебе поверим если ты даже элементарное сделать не можешь

Внезапно! Перестали работать горячие клавиши и не открывается окно настроек стакана. Когда надо было срочно закрыть позицию не получилось. После закрытия этого стакана и открытия нового все заработало. Будьте осторожны!

Свечки в студию на осмотр!

что интересно окно созданное скриптом и не вынесенное за пределы квика, легко переносится на другой монитор из менеджера окон при этом автоматически выносится за пределы квика

Убрать использование мышки в сочетании с горячими клавишами, оставить только горячие клавиши и вынос после нажатия
или сделать возможность создания окна из Lua сразу за пределами окна Quik

Нет это все не то, Вы не поняли то что мне надо)), мой вопрос лежит в области визуализации и размещения таблицы (окна) Quik созданной из Lua. Думаю тут надо использовать w32.dll для автоматизации переноса окна таблицы за пределы квика, методом отсылки сообщений типа  этому окну
C++
BOOL PostMessageA(   HWND   hWnd,   UINT   Msg,   WPARAM wParam,   LPARAM lParam );

Спасибо! это помогло

Вы приводите пример сохранения таблицы Lua в файл и загрузку, это не то.

Я имел в виду видимую таблицу Quik, созданную из скрипта , которую можно вынести за пределы окна программы на другой монитор например.Сейчас это доступно для таблиц при помощи ctrl +alt и захвата таблицы мышкой с переносом за область квика, но таблица созданная из Lua не сохраняется в таком положении

Хотя нет горячие клавиши же есть ctrl +alt но как это автоматизировать?

Я правильно понимаю, что созданную таблицу нельзя сохранить вынесенной за пределы Quik ?

В принципе координаты и размер таблицы можно сохранить в файл, но она не сможет быть вынесена за пределы окна квик, так или есть какой то способ?

Выкладываю те самые файлы из документации так как потратил на их копирование из pdf кучу времени, может хоть кому то удастся его сэкономить

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--table_object.lua dofile (getScriptPath() .. "\\quik_table_wrapper.lua") dofile (getScriptPath() .. "\\ntime.lua") stopped = false function format1(data) return string.format("0x%08X", data) end function format2(data) return string.format("%06d", data) end function OnStop(s) stopped = true end function main() -- поворачивающиеся «палочки» в заголовке таблицы local palochki = {"-","\\", "|", "/"} -- создать экземпляр QTable t = QTable.new() if not t then message("error!", 3) return else message("table with id = " ..t.t_id .. " created", 1) end -- добавить два столбца с функциями форматирования -- в первом столбце – hex-значения, во втором – целые числа t:AddColumn("test1", QTABLE_INT_TYPE, 10,format1) t:AddColumn("test2", QTABLE_INT_TYPE, 10, format2) -- добавить столбцы без форматирования t:AddColumn("test3", QTABLE_CACHED_STRING_TYPE, 50) t:AddColumn("test4", QTABLE_TIME_TYPE, 50) t:AddColumn("test5", QTABLE_CACHED_STRING_TYPE, 50) t:SetCaption("Test") t:Show() i=1 -- исполнять цикл, пока пользователь не остановит скрипт из диалога управления while not stopped do -- если таблица закрыта, то показать ее заново -- при этом все предыдущие данные очищаются if t:IsClosed() then t:Show() end -- на каждой итерации повернуть «палочку» на 45 градусов t:SetCaption("QLUA TABLE TEST " .. palochki[i%4 +1]) -- метод добавит в таблицу новую строчку и вернет ее номер local row = t:AddLine() t:SetValue(row, "test1", row, i) t:SetValue(row, "test2", row, i) -- заполнить ячейку текущим заголовком таблицы -- тип столбца – строковый, поэтому последний параметр пропускается SetCell(t.t_id, row, 3, GetWindowCaption(t.t_id)) _date = os.date("*t") -- 4-й столбец заполнить данными типа время (число в формате <ЧЧММСС>) -- Функция для строкового представления времени определена в файле --ntime.lua -- Функция NiceTime возвращает строку SetCell(t.t_id, row, 4,NiceTime(_date) .. string.format(" (%02d:%02d:%02d)", _date.hour,_date.min, _date.sec),_date.hour*10000+_date.min*100 +_date.sec) -- пятый столбец имеет строковый тип и заполняется результатом --выполнения функции NiceTime -- исходный код функции взят из виджета Conky Lua для Ubuntu SetCell(t.t_id, row, 5, NiceTime(_date)) sleep(1000) i=i+1 end message("finished") end

--quik_table_wrapper.lua

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-- Перегрузка функции message с необязательным вторым параметром old_message = message function message(v, i) old_message(tostring(v), i or 1) end QTable ={} QTable.__index = QTable -- Создать и инициализировать экземпляр таблицы QTable function QTable.new() local t_id = AllocTable() if t_id ~= nil then q_table = {} setmetatable(q_table, QTable) q_table.t_id=t_id q_table.caption = "" q_table.created = false q_table.curr_col=0 -- таблица с описанием параметров столбцов q_table.columns={} return q_table else return nil end end function QTable:Show() -- отобразить в терминале окно с созданной таблицей CreateWindow(self.t_id) if self.caption ~="" then -- задать заголовок для окна SetWindowCaption(self.t_id, self.caption) end self.created = true end function QTable:IsClosed() -- если окно с таблицей закрыто, возвращает «true» return IsWindowClosed(self.t_id) end function QTable:delete() -- удалить таблицу DestroyTable(self.t_id) end function QTable:GetCaption() if IsWindowClosed(self.t_id) then return self.caption else -- возвращает строку, содержащую заголовок таблицы return GetWindowCaption(self.t_id) end end -- Задать заголовок таблицы function QTable:SetCaption(s) self.caption = s if not IsWindowClosed(self.t_id) then res = SetWindowCaption(self.t_id, tostring(s)) end end -- Добавить описание столбца <name> типа <c_type> в таблицу -- <ff> – функция форматирования данных для отображения function QTable:AddColumn(name, c_type, width, ff ) local col_desc={} self.curr_col=self.curr_col+1 col_desc.c_type = c_type col_desc.format_function = ff col_desc.id = self.curr_col self.columns[name] = col_desc -- <name> используется в качестве заголовка таблицы AddColumn(self.t_id, self.curr_col, name, true, c_type, width) end function QTable:Clear() -- очистить таблицу Clear(self.t_id) end -- Установить значение в ячейке function QTable:SetValue(row, col_name, data) local col_ind = self.columns[col_name].id or nil if col_ind == nil then return false end -- если для столбца задана функция форматирования, то она используется local ff = self.columns[col_name].format_function if type(ff) == "function" then -- в качестве строкового представления используется -- результат выполнения функции форматирования SetCell(self.t_id, row, col_ind, ff(data), data) return true else SetCell(self.t_id, row, col_ind, tostring(data), data) end end function QTable:AddLine() -- добавляет в конец таблицы пустую строчку и возвращает ее номер return InsertRow(self.t_id, -1) end function QTable:GetSize() -- возвращает размер таблицы return GetTableSize(self.t_id) end -- Получить данные из ячейки по номеру строки и имени столбца function QTable:GetValue(row, name) local t={} local col_ind = self.columns[name].id if col_ind == nil then return nil end t = GetCell(self.t_id, row, col_ind) return t end -- Задать координаты окна function QTable:SetPosition(x, y, dx, dy) return SetWindowPos(self.t_id, x, y, dx, dy) end -- Функция возвращает координаты окна function QTable:GetPosition() top, left, bottom, right = GetWindowRect(self.t_id) return top, left, right-left, bottom-top end

--ntime.lua

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words = {"one ", "two ", "three ", "four ", "five ", "six ", "seven ", "eight ", "nine "} levels = {"thousand ", "million ", "billion ", "trillion ", "quadrillion ", "quintillion ", "sextillion ", "septillion ", "octillion ", [0] = ""} iwords = {"ten ", "twenty ", "thirty ", "forty ", "fifty ", "sixty ", "seventy ", "eighty ", "ninety "} twords = {"eleven ", "twelve ", "thirteen ", "fourteen ", "fifteen ", "sixteen ", "seventeen ", "eighteen ", "nineteen "} function digits(n) local i, ret = -1 return function() i, ret = i + 1, n % 10 if n > 0 then n = math.floor(n / 10) return i, ret end end end level = false function getname(pos, dig) level = level or pos % 3 == 0 if(dig == 0) then return "" end local name = (pos % 3 == 1 and iwords[dig] or words[dig]) .. (pos % 3 == 2 and "hundred " or "") if(level) then name, level = name .. levels[math.floor(pos / 3)], false end return name end function numberToWord(number) if(number == 0) then return "zero" end vword = "" for i, v in digits(number) do vword = getname(i, v) .. vword end for i, v in ipairs(words) do vword = vword:gsub("ty " .. v, "ty-" .. v) vword = vword:gsub("ten " .. v, twords[i]) end return vword end function _Time(t) hour = t.hour minute = t.min hour = hour % 12 if(hour == 0) then hour, nextHourWord = 12, "one " else nextHourWord = numberToWord(hour+1) end hourWord = numberToWord(hour) if(minute == 0 ) then return hourWord .. "o'clock" elseif(minute == 30) then return "half past " .. hourWord elseif(minute == 15) then return "a quarter past " .. hourWord elseif(minute == 45) then return "a quarter to " .. nextHourWord else if(minute < 30) then return numberToWord(minute) .. "past " .. hourWord else return numberToWord(60-minute) .. "to " .. nextHourWord end end end function _Seconds(s) return numberToWord(s) end function NiceTime(t) return _Time(t) .."and ".. _Seconds(t.sec) .. "second" end

--x0x.lua

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--Пример реализации игры «Крестики-нолики» --[[ TIC-TAC-TOE by Evan Hahn (http://evanhahn.com/how-to-code-tic-tac-toe-and-a-lua-implementation/ --]] ---------------------------------------------- -- Configuration (change this if you wish!) -- ---------------------------------------------- t_id=nil --grid -- Are they playable by human or computer-controlled? PLAYER_1_HUMAN = true PLAYER_2_HUMAN = false -- Board size BOARD_RANK = 3 -- The board will be this in both dimensions. -- Display stuff PLAYER_1 = "[x]" -- Player 1 is represented by this. Player 1 goes first. PLAYER_2 = "[o]" -- Player 2 is represented by this. EMPTY_SPACE = "[ ]" -- An empty space is displayed like this. DISPLAY_HORIZONTAL_SEPARATOR = "-" -- Horizontal lines look like this. DISPLAY_VERTICAL_SEPARATOR = " | " -- Vertical lines look like this --[[ ################################################################### #### Don't mess with things below here unless you are brave #### ################################################################### --]] ------------------------ -- More configuration -- ------------------------ MAX_BOARD_RANK = 100 -- Won't run above this number. Prevents crashes. ------------------------------------------------------- -- Don't run if the board is larger than the maximum -- ------------------------------------------------------- if BOARD_RANK > MAX_BOARD_RANK then os.exit(0) end ----------------------------- -- Create board (2D table) -- ----------------------------- space = {} for i = 0, (BOARD_RANK - 1) do space[i] = {} for j = 0, (BOARD_RANK - 1) do space[i][j] = nil -- start each space with nil end end --------------------- -- Board functions -- --------------------- -- get the piece at a given spot function getPiece(x, y) return space[x][y] end -- get the piece at a given spot; if nil, return " " -- this is useful for output. function getPieceNoNil(x, y) if getPiece(x, y) ~= nil then return getPiece(x, y) else return EMPTY_SPACE end end -- is that space empty? function isEmpty(x, y) if getPiece(x, y) == nil then return true else return false end end -- place a piece there, but make sure nothing is there already. -- if you can't play there, return false. function placePiece(x, y, piece) if isEmpty(x, y) == true then space[x][y] = piece return true else return false end end -- is the game over? function isGameOver() if checkWin() == false then -- if there is no win... for i = 0, (BOARD_RANK - 1) do -- is the board empty? for j = 0, (BOARD_RANK - 1) do if isEmpty(i, j) == true then return false end end end return true else -- there is a win; the game is over return true end end -- create a string made up of a certain number of smaller strings -- this is useful for the display. function repeatString(to_repeat, amount) if amount <= 0 then return "" end local to_return = "" for i = 1, amount do to_return = to_return .. to_repeat end return to_return end -- display the board. -- this uses the configuration file pretty much entirely. function displayBoard() for i = (BOARD_RANK - 1), 0, -1 do for j = 0, (BOARD_RANK - 1) do -- generate that row local piece = getPieceNoNil(j, i) SetCell(t_id, i+1, j+1, piece) end end end ------------------------------------------------- -- Create regions (I admit this is a bit ugly) -- ------------------------------------------------- -- declare region and a number to increment region = {} region_number = 0 -- vertical for i = 0, (BOARD_RANK - 1) do region[region_number] = {} for j = 0, (BOARD_RANK - 1) do region[region_number][j] = {} region[region_number][j]["x"] = i region[region_number][j]["y"] = j end region_number = region_number + 1 end -- horizontal for i = 0, (BOARD_RANK - 1) do region[region_number] = {} for j = 0, (BOARD_RANK - 1) do region[region_number][j] = {} region[region_number][j]["x"] = j region[region_number][j]["y"] = i end region_number = region_number + 1 end -- diagonal, bottom-left to top-right region[region_number] = {} for i = 0, (BOARD_RANK - 1) do region[region_number][i] = {} region[region_number][i]["x"] = i region[region_number][i]["y"] = i end region_number = region_number + 1 -- diagonal, top-left to bottom-right region[region_number] = {} for i = (BOARD_RANK - 1), 0, -1 do region[region_number][i] = {} region[region_number][i]["x"] = BOARD_RANK - i - 1 region[region_number][i]["y"] = i end region_number = region_number + 1 ---------------------- -- Region functions -- ---------------------- -- get a region function getRegion(number) return region[number] end -- check for a win in a particular region. -- returns a number representation of the region. occurrences of player 1 -- add 1, occurrences of player 2 subtract 1. so if there are two X pieces, -- it will return 2. one O will return -1. function checkWinInRegion(number) local to_return = 0 for i, v in pairs(getRegion(number)) do local piece = getPiece(v["x"], v["y"]) if piece == PLAYER_1 then to_return = to_return + 1 end if piece == PLAYER_2 then to_return = to_return - 1 end end return to_return end -- check for a win in every region. -- returns false if no winner. -- returns the winner if there is one. function checkWin() for i in pairs(region) do local win = checkWinInRegion(i) if math.abs(win) == BOARD_RANK then if win == math.abs(win) then return PLAYER_1 else return PLAYER_2 end end end return false end ------------------ -- UI Functions -- ------------------ -- human play function humanPlay(piece) message("Human turn") displayBoard() local placed = false while placed == false do -- loop until they play correctly sleep(100) if g_X ~= -1 and g_Y ~=-1 then local x = tonumber(g_Y)-1 local y = tonumber(g_X)-1 g_X = -1 g_Y= -1 message("clicked in " .. x .. " and " .. y) placed = placePiece(x, y, piece) if placed == false then message("I'm afraid you can't play there!") end end end displayBoard() end -- AI play function AIPlay(piece) -- am I negative or positive? local me = 0 if piece == PLAYER_1 then me = 1 end if piece == PLAYER_2 then me = -1 end -- look for a region in which I can win for i in pairs(region) do local win = checkWinInRegion(i) if win == ((BOARD_RANK - 1) * me) then for j, v in pairs(getRegion(i)) do if isEmpty(v["x"], v["y"]) == true then placePiece(v["x"], v["y"], piece) return end end end end -- look for a region in which I can block for i in pairs(region) do local win = checkWinInRegion(i) if win == ((BOARD_RANK - 1) * (me * -1)) then for j, v in pairs(getRegion(i)) do if isEmpty(v["x"], v["y"]) == true then placePiece(v["x"], v["y"], piece) return end end end end -- play first empty space, if no better option for i = 0, (BOARD_RANK - 1) do for j = 0, (BOARD_RANK - 1) do if placePiece(i, j, piece) ~= false then return end end end end g_X=-1 g_Y=-1 function event_callback(t_id, msg, par1, par2) if msg == QTABLE_LBUTTONDOWN then g_X = par1 g_Y = par2 end end old_message = message local fmt = string.format function message(v, t) t= t or 1 old_message(tostring(v), t) end function main() t_id = AllocTable() AddColumn(t_id, 1, "", true, QTABLE_CACHED_STRING_TYPE, 5) AddColumn(t_id, 2, "", true, QTABLE_CACHED_STRING_TYPE, 5) AddColumn(t_id, 3, "", true, QTABLE_CACHED_STRING_TYPE, 5) CreateWindow(t_id) for i=1, 3 do row = InsertRow(t_id, -1) SetCell(t_id, row, 1, "[ ]") SetCell(t_id, row, 2, "[ ]") SetCell(t_id, row, 3, "[ ]") end SetTableNotificationCallback(t_id, event_callback) message("Welcome to Tic-Tac-Toe!") -- play the game until someone wins while true do sleep(100) -- break if the game is won if isGameOver() == true then break end -- player 1 if PLAYER_1_HUMAN == true then humanPlay(PLAYER_1) else AIPlay(PLAYER_1) end if isGameOver() == true then break end if PLAYER_2_HUMAN == true then humanPlay(PLAYER_2) else AIPlay(PLAYER_2) end end -- show the final board displayBoard() -- write who won, or if there is a tie win = checkWin() if win == false then message("Tie game!\n") else message(win) message(" wins!\n") end end

можно ограничение поставить по времени на обработку

но он присылает вчерашние сделки вечерней сессии наверно, так задумано наверно

Неужели все так плохо?))

Вот Спасибо!