Индикатор с большим числом линий.

function Wilder.RSI_Indicator()
    -- 1. Локальные утилиты для оптимизации
    local math_abs = math.abs
    local math_max = math.max
    local math_min = math.min
    local math_floor = math.floor
    local string_format = string.format
    
    -- Форматирование даты и времени
    local get_date = function(td)
        return td and string_format("%.4d%.2d%.2d", td.year, td.month, td.day) or "00000000"
    end
    local get_time = function(td)
        return td and string_format("%.2d%.2d%.2d", td.hour, td.min, td.sec) or "000000"
    end
    
    -- Функция округления
    local round = function(x, n)
        n = n or 0
        local mult = 10 ^ n
        return x >= 0 and math_floor(x * mult + 0.5) / mult or math_floor(x * mult - 0.5) / mult
    end

    -- 2. Функции сглаживания
    local smoothing = {
        EMA = function(new_val, prev, period)
            local alpha = 2 / (period + 1)
            return alpha * new_val + (1 - alpha) * prev
        end,

        SMMA = function(new_val, prev, period, bars_count)
            if bars_count <= period then
                return (prev * (bars_count - 1) + new_val) / bars_count
            else
                return (prev * (period - 1) + new_val) / period
            end
        end
    }

    -- 3. Состояние индикатора
    local cache = {
        initialized = false,
        last_index = 0,
        history = {},  -- Хранилище для исторических значений
        Configs = {
            period = 14,
            method = "SMMA",
            max_history = 100
        },
        prev_price = nil
    }

    return function(I, F, ds)
        -- A. Обновление параметров
        if F then
            cache.Configs.period = F.Period or cache.Configs.period
            cache.Configs.method = F.Method or cache.Configs.method
            cache.Configs.max_history = F.Max_History or cache.Configs.max_history
        end

        local period = cache.Configs.period
        local method = cache.Configs.method

        -- B. Проверка нового бара
        local is_new_bar = I > cache.last_index

        -- C. Очистка старых данных при новом баре
        if is_new_bar then
            cache.last_index = I
            
            -- Удаляем устаревшие данные
            local min_index = I - cache.Configs.max_history
            for i = min_index - 10, min_index do
                if cache.history[i] then
                    cache.history[i] = nil
                end
            end
        end

        -- D. Получение текущей цены закрытия
        local current_price = Value(I, "C", ds)
        if not current_price then
            return {
                d = "00000000",
                t = "000000",
                rsi = 50,
                rsi1 = 50,
                rsi2 = 50,
                rsi3 = 50,
                gain = 0,
                loss = 0,
                avg_gain = 0,
                avg_loss = 0
            }
        end

        -- E. Инициализация записи для текущего индекса
        if not cache.history[I] then
            cache.history[I] = {
                price = current_price,
                change = 0,
                gain = 0,
                loss = 0,
                avg_gain = 0,
                avg_loss = 0,
                rsi = 50
            }
        end

        -- F. Расчет изменения цены
        local prev_price = cache.prev_price
        if not prev_price then
            -- Для первого бара используем текущую цену как предыдущую
            prev_price = current_price
        end

        local change = current_price - prev_price
        cache.history[I].change = change
        cache.prev_price = current_price  -- Сохраняем для следующего вызова

        -- G. Расчет положительных и отрицательных изменений
        local gain = math_max(change, 0)
        local loss = math_max(-change, 0)

        cache.history[I].gain = gain
        cache.history[I].loss = loss

        -- H. Расчет средних значений
        if I == 1 then
            -- Первый бар
            cache.history[I].avg_gain = gain
            cache.history[I].avg_loss = loss
        else
            local prev_entry = cache.history[I-1] or cache.history[I]
            local bars_count = math_min(I, period)
            
            if method == "SMMA" then
                cache.history[I].avg_gain = smoothing.SMMA(
                    gain, 
                    prev_entry.avg_gain, 
                    period, 
                    bars_count
                )
                
                cache.history[I].avg_loss = smoothing.SMMA(
                    loss, 
                    prev_entry.avg_loss, 
                    period, 
                    bars_count
                )
            else -- EMA
                cache.history[I].avg_gain = smoothing.EMA(
                    gain, 
                    prev_entry.avg_gain, 
                    period
                )
                
                cache.history[I].avg_loss = smoothing.EMA(
                    loss, 
                    prev_entry.avg_loss, 
                    period
                )
            end
        end

        -- I. Расчет RSI
        local avg_gain = cache.history[I].avg_gain
        local avg_loss = cache.history[I].avg_loss
        
        local rs = (avg_loss > 1e-5) and (avg_gain / avg_loss) or 0
        local rsi = 100 - (100 / (1 + rs))
        
        -- Корректировка граничных значений
        rsi = math_max(0, math_min(100, rsi))
        cache.history[I].rsi = rsi

        -- J. Получение предыдущих значений
        local prev1 = cache.history[I-1] or {rsi = 50}
        local prev2 = cache.history[I-2] or {rsi = 50}
        local prev3 = cache.history[I-3] or {rsi = 50}
        
        -- K. Формирование результата
        local td = ds:T(I)
        local Out = {
            d = get_date(td),
            t = get_time(td),
            rsi = round(rsi, 2),
            rsi1 = round(prev1.rsi, 2),
            rsi2 = round(prev2.rsi, 2),
            rsi3 = round(prev3.rsi, 2),
            gain = round(gain, 4),
            loss = round(loss, 4),
            avg_gain = round(avg_gain, 4),
            avg_loss = round(avg_loss, 4),
            _cache = cache.history[I]
        }
        Wilder.Log( tostring(I)..') '.. Out.d ..' / '.. Out.t 
        ..'; rsi = ' .. tostring(Out.rsi) 
        ..'; rsi1 = ' .. tostring(Out.rsi1) 
        ..'; rsi2 = ' .. tostring(Out.rsi2) 
        ..'; rsi3 = ' .. tostring(Out.rsi3) 

        ..'; gain = ' .. tostring(Out.gain) 
        ..'; loss = ' .. tostring(Out.loss)
        
        --..'; atr = ' .. tostring(Out.atr) 
        ..'; avg_gain = ' .. tostring(Out.avg_gain) 
        ..'; avg_loss = ' .. tostring(Out.avg_loss) 

        --..'; trend = ' .. tostring(Out.trend)
        --..'; trend1 = ' .. tostring(Out.trend1)
        --..'; trend2 = ' .. tostring(Out.trend2)

        --..'; signal = ' .. tostring(Out.signal)
        --..'; signal1 = ' .. tostring(Out.signal1)
        --..'; signal2 = ' .. tostring(Out.signal2)
        )--[[--]]
        cache.initialized = true

        return Out
    end
end