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Как нейросеть мне приложение писала

Дисклеймер:

Данная статья содержит описание личного опыта взаимодействия автора и нейросетей DeepSeek и GigaChat на уровне <рядовой пользователь – машина>. Автор не является профессиональным программистом и профессиональным промпт-инженером, поэтому воздерживается от комментариев относительно качества кода и обоснованности того или иного решения, предлагаемого ИИ. Автор также не является профессиональным аналитиком данных, в связи с чем выбор методов прогнозирования и само видение реализации замысла могут не соответствовать представлениям профессионалов. Автор прекрасно понимает, что на сегодняшний день существуют как отдельные специалисты, так и готовые технические решения, прекрасно справляющиеся с задачами, рассматриваемыми в данной статье.

Вступление

Начать следует с того, что по профессии я системный аналитик с примесью технического писателя. Если точнее, то технический писатель, который вынужденно начал выполнять функции аналитика и в итоге им стал. Помимо этого, из опыта управления производственными и экономическими процессами в малом бизнесе я вынес любовь к цифрам, их анализу и составлению несложных прогнозов, которые разрабатывал исключительно в excel.

В основе данной статьи лежат следующие предпосылки:

информационный шум вокруг стремительного развития нейросетей и разговоров о том, что мы все скоро лишимся работы;
остатки былых желаний об автоматизации процесса анализа и прогнозирования;
желание интегрировать нейросети в собственную профессиональную практику;
желание проверить реальные возможности нейросетей в плане кодинга и разработки пусть и несложных, но работающих решений на основе относительно структурированных; запросов среднестатистически грамотного пользователя.

Формулирование задачи

Итак, я решил посмореть, сможет ли среднестатистический пользователь, умеющий худо-бедно системно мыслить и более-менее структурированно излагать свои потребности, при помощи нейросетей создать несложный работающий прототип десктопного приложения, решающего 1-2 достаточно простые (на машинном уровне) задачи. При этом главным условием должно являться то, что я не буду (вот совсем) вмешиваться в код, а буду разговаривать с машиной только человеческим языком. Пусть это будет условие №1.

Условие №2 – выбор высокоуровневого, не архисложного и популярного языка, имеющего развитый бэкграунд в виде библиотек, фреймворков и т.п. Здесь я подумал, что это должен быть Питон. Кроме того, я могу понять какие-то основные вехи кода на этом языке.

Условие №3 – приложение не должно решать множество задач одновременно, а должно (исходя из вышеописанного):

Принимать массив данных из файла, загружаемого вручную (да, интеграции пока городить не будем).
Строить прогнозы по двум-трем несложным методикам, и выдавать в качестве результата усредненный прогноз (причем, выбор методик я предоставлю AI).
Выдавать минимальную визуализацию в виде простых инфографик.
Иметь возможность отфильтровать данные по дате.

Теперь предстояло найти объект для анализа и составления прогнозов. Идеальным кандидатом оказался, что вполне очевидно, семейный бюджет, а именно выгрузка из банка xls-файла с данными о движении денежный средств. Таким образом я решил анализировать траты по категориям за определенный период времени и строить прогноз по предстоящим тратам на несколько месяцев вперед.

Сразу оговорюсь, что данные никаким образом, кроме удаления ненужных столбцов (и то не в первой итерации), не модифицировались и не обрабатывались. Категории в онлайн-банке специально не настраивались. То есть это просто сырые данные в таблице, где запись представляет собой следующее:

Дата платежа	Категория	Описание	Сумма операции
27.01.2025	Рестораны	GrillZon	2000,00

Что касается выбора AI, то я решил остановиться на доступных в России без всяких VPN нейронках GigaChat от Сбера (которой, к слову, время от времени пользуюсь) и нашумевшей китайской DeepSeek.

Также следует сказать пару слов о методологии. Тут все предельно просто: поскольку я решил выступить в роли "уверенного пользователя ПК со знанием Ворд", то я не буду уметь ничего, кроме как скопипастить код из чата с AI в VSCode и нажать кнопочку запуска. Отмечу, что, хоть это и очевидно, моя работа носила итеративный подход.

Итак, приступаем к написанию первого промпта.

Пишем приложение

Итерация 1

Промпт: есть таблица, содержащая следующие поля:

Дата операции.
Дата платежа.
Номер карты.
Статус.
Сумма операции.
Валюта операции.
Сумма платежа.
Валюта платежа.
Категория.
Описание.
Сумма операции с округлением.

Записи в таблице располагаются по убыванию от ближней даты к дальней.

Необходимо написать на python desktop-приложение, которое будет анализировать таблицу и выдавать следующие результаты:

Информацию о расходах, сгруппированную по годам, месяцам и числам, а также по категориям и описаниям.
Прогноз по расходам на ближайшие три месяца.

Для прогнозирования можно использовать усредненную информацию на основе любых трех- четырех методик прогнозирования, например, метод плавающего окна, линейная регрессия и тому подобное.

Итоговый анализ расходов должен выводиться в виде:

Таблицы анализа по категориям, где записи — это категории, а поля — это значения для каждого прогнозируемого месяца.
Таблицы анализа по описаниям, где записи — это описания, а поля — это значения для каждого прогнозируемого месяца.
Круговой диаграммы расходов по каждому месяцу.

Итоговый прогноз должен выводиться в виде:

Таблицы прогноза по категориям, где записи — это категории, а поля \ — это значения для каждого прогнозируемого месяца.
Таблицы прогноза по описаниям, где записи — это описания, а поля — это значения для каждого прогнозируемого месяца.
Круговой диаграммы прогноза по каждому месяцу.

И вот на этом самом месте GigaChat и отвалился, так как предложенный им код... просто отказался работать, а prettier выделил красным n-ное количество строк. И нет, дело не в том, что какие-то библиотеки не установлены, я проверял. Оговорюсь, что запрос к нему писался вторым (начал я с китайца), и в нем присутствуют только пять строк исходной таблицы, но сути это не меняет, ибо по наводке DeepSeek я уже установил некоторые компоненты.

С точки зрения "уверенного пользователя", которым я на время стал, это уже конкретное отсутствие результата, ибо, даже если ситуация требует лишь беглого взгляда и мелкой правки, я этого делать не умею (и не хочу). Снова чуть забегу вперед и скажу, что в отличие от китайского коллеги сберовский AI не дает никаких подсказок по поводу того, что надо сделать, чтобы все заработало, и не показывает ход своих мыслей. Ниже без купюр привожу решение от Сбера:

Шаг 1: Загрузка и подготовка данных
Предположим, что у нас есть файл expenses.csv со следующими столбцами:



Дата операции,Дата платежа,Категория,Описание,Сумма операции 2023-01-05,2023-01-10,Продукты,Покупка продуктов,5000
2023-02-15,2023-03-20,Транспорт,Проездной билет,2000
...
Начнем с загрузки данных с помощью библиотеки Pandas:



import pandas as pd

# Чтение CSV файла
df = pd.read_csv('expenses.csv', parse_dates=['Дата операции', 'Дата платежа'])

# Преобразование сумм в числа
df['Сумма операции'] = df['Сумма операции'].astype(float) Шаг 2: Анализ расходов
Группировка по годам, месяцам и дням

def group_by_date_and_category(df):
# Создаем колонки для года, месяца и дня df['Год'] = df['Дата операции'].dt.year df['Месяц'] = df['Дата операции'].dt.month df['День'] = df['Дата операции'].dt.day

# Группируем по году, месяцу, дню и категории
grouped_df = df.groupby(['Год', 'Месяц', 'День', 'Категория'])['Сумма операции'].sum().rese

return grouped_df Вывод анализа расходов

grouped_expenses = group_by_date_and_category(df) print(grouped_expenses)
Шаг 3: Прогнозирование расходов
Мы можем использовать несколько методов для прогнозирования будущих расходов. Например, методы

Метод скользящего среднего
Этот метод использует среднее значение за последние N периодов для предсказания следующего пери



from statsmodels.tsa.api import SimpleExpSmoothing
 
def forecast_with_sma(df, periods=3):
# Выбираем суммы операций по месяцам
monthly_sums = df.groupby(pd.Grouper(key='Дата операции', freq='M'))['Сумма операции'].sum(

# Применяем метод скользящего среднего
model = SimpleExpSmoothing(monthly_sums).fit(smoothing_level=0.6)

# Делаем прогноз на 3 месяца вперед forecast = model.forecast(steps=periods)

return forecast Линейная регрессия
Метод линейной регрессии может использоваться для построения тренда и предсказания значений на



from sklearn.linear_model import LinearRegression from sklearn.preprocessing import PolynomialFeatures

def forecast_with_linear_regression(df, degree=2, periods=3): # Выбираем суммы операций по месяцам
monthly_sums = df.groupby(pd.Grouper(key='Дата операции', freq='M'))['Сумма операции'].sum(

# Формируем массивы X и y
X = np.arange(len(monthly_sums)).reshape(-1, 1) y = monthly_sums.values.reshape(-1, 1)

# Используем полиномиальную регрессию poly = PolynomialFeatures(degree=degree) X_poly = poly.fit_transform(X)

# Обучаем модель
model = LinearRegression().fit(X_poly, y)

# Делаем прогноз на 3 месяца вперед
future_X = np.arange(len(monthly_sums), len(monthly_sums) + periods).reshape(-1, 1) future_X_poly = poly.transform(future_X)
forecast = model.predict(future_X_poly)

return forecast
Шаг 4: Визуализация результатов
Создание интерфейса с использованием Tkinter
Tkinter — стандартная библиотека Python для создания графического пользовательского интерфейса.
 
import tkinter as tk from tkinter import ttk
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

class ExpenseAnalyzerApp(tk.Tk): def   init  (self):
super().  init  ()

self.title("Expense Analyzer") self.geometry("800x600")

# Добавляем вкладки
tab_control = ttk.Notebook(self) analysis_tab = ttk.Frame(tab_control) forecast_tab = ttk.Frame(tab_control)
tab_control.add(analysis_tab, text="Analysis") tab_control.add(forecast_tab, text="Forecast") tab_control.pack(expand=True, fill="both")

# Таблица анализа расходов self.create_analysis_table(analysis_tab)

# Графики прогноза self.create_forecast_plots(forecast_tab)

def create_analysis_table(self, parent):
treeview = ttk.Treeview(parent, columns=["Year", "Month", "Day", "Category", "Amount"]) treeview.heading("#0", text="ID")
treeview.column("#0", width=50)
for col in ["Year", "Month", "Day", "Category", "Amount"]: treeview.heading(col, text=col)
treeview.column(col, width=100)

for index, row in grouped_expenses.iterrows():
treeview.insert("", "end", iid=index, values=(row["Год"], row["Месяц"], row["День"] treeview.pack(side="left", fill="y")
scrollbar = ttk.Scrollbar(parent, orient="vertical", command=treeview.yview) treeview.configure(yscrollcommand=scrollbar.set)
 
scrollbar.pack(side="right", fill="y")

def create_forecast_plots(self, parent):
figure = plt.Figure(figsize=(5, 4), dpi=100) ax = figure.add_subplot(111)
forecast_data = forecast_with_sma(df)
ax.plot(forecast_data.index, forecast_data.values) ax.set_title("Forecast with SMA")

canvas = FigureCanvasTkAgg(figure, parent) canvas.get_tk_widget().pack(side="top", fill="both", expand=True)

if   name	 == "  main  ":
app = ExpenseAnalyzerApp() app.mainloop()

DeepSeek оказался куда талантливее и помимо кода тезисно расписал особенности реализации:

Загрузка данных:

поддерживает файлы Excel (.xlsx);
автоматически парсит даты операций.

Анализ расходов:

группировка по годам/месяцам/числам;
детализация по категориям и описаниям;
интерактивные таблицы с прокруткой.

Прогнозирование:

использует 3 метода;
экспоненциальное сглаживание;
линейная регрессия;
скользящее среднее;
усреднение результатов прогноза.

Визуализация:

интерактивные круговые диаграммы;
автоматическое обновление графиков;
поддержка динамического изменения временных периодов.

Кроме того, китайское чудо выдало следующее предупреждение-рекомендацию «установить зависимости»:

pip install pandas numpy matplotlib statsmodels scikit-learn openpyxl tk

Только не надо в меня ничего кидать, покрикивая, что "уверенный пользователь" не может знать, что такое pip, pandas, numpy, как все это влияет на работоспособность кода, и что вообще делать с этой строчкой. Да, это нарушает чистоту эксперимента. Но, честно, я не знаю, что с этим поделать. Конечно, было бы круто, если бы DeepSeek выдал еще и пошаговый алгоритм того, куда именно ткнуть, вставить и что нажать. Но увы.

Короче говоря, сделав, что попросили, и запустив предложенное решение, я увидел окно выбора нужного файла. После выбора мне предстала следующая картина:

Хочется отметить следующие моменты:

Достоинства:

Уже в первой итерации нейронка осознала, что анализ и прогноз — два разных процесса, под которые требуются разные пространства. Таким образом, у нас появились отдельные вкладки "Анализ" и "Прогноз".
Нейронка сама придумала название приложения, и сама предложила фавикон.
По центру расположена кнопочка загрузки данных, которая работает. Красота.

Недостатки:

В таблице полная ахинея. Но тут, не в последнюю очередь, следует сказать привет Т-банку с его особенностями выгрузки и представления данных. Но об этом как-нибудь в другой раз.
На вкладке "Анализ" зияющая пустота.
Никакими круговыми диаграммами даже не пахнет.

Вывод: прототип работает с первой попытки, но то, что хотелось, не делает. Код приведен ниже:

import pandas as pd import numpy as np import tkinter as tk
from tkinter import ttk, filedialog
from datetime import datetime, timedelta
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from matplotlib.figure import Figure
from statsmodels.tsa.api import ExponentialSmoothing, SimpleExpSmoothing from sklearn.linear_model import LinearRegression

class FinanceAnalyzerApp:
def  init (self, root): self.root = root
self.root.title("Анализатор расходов") self.data = None

# Создание интерфейса self.create_widgets()

def create_widgets(self):
# Кнопка загрузки файла
self.load_btn = ttk.Button(self.root, text="Загрузить данные", command=self.load_data) self.load_btn.pack(pady=10)

# Notebook для вкладок
self.notebook = ttk.Notebook(self.root) self.analysis_frame = ttk.Frame(self.notebook) self.forecast_frame = ttk.Frame(self.notebook) self.notebook.add(self.analysis_frame, text="Анализ") self.notebook.add(self.forecast_frame, text="Прогноз") self.notebook.pack(expand=True, fill=tk.BOTH)

def load_data(self):
file_path = filedialog.askopenfilename(filetypes=[("Excel files", "*.xlsx")]) if file_path:
self.data = pd.read_excel(file_path, parse_dates=['Дата операции']) self.process_data()
self.show_analysis()
self.generate_forecast()

def process_data(self):
# Преобразование данных
self.data['Год'] = self.data['Дата операции'].dt.year
self.data['Месяц'] = self.data['Дата операции'].dt.month self.data['День'] = self.data['Дата операции'].dt.day

def show_analysis(self):
# Анализ по категориям self.category_analysis = pd.pivot_table(
self.data,
values='Сумма операции', index='Категория', columns=['Год', 'Месяц'], aggfunc=np.sum
)

# Анализ по описаниям self.description_analysis = pd.pivot_table(
self.data,
values='Сумма операции', index='Описание', columns=['Год', 'Месяц'], aggfunc=np.sum
)

# Отображение таблиц
self.create_table(self.analysis_frame, self.category_analysis, "По категориям") self.create_table(self.analysis_frame, self.description_analysis, "По описаниям")

def generate_forecast(self):
# Подготовка данных для прогноза
monthly_data = self.data.resample('M', on='Дата операции')['Сумма операции'].sum()

# Метод 1: Экспоненциальное сглаживание
model_es = ExponentialSmoothing(monthly_data).fit() forecast_es = model_es.forecast(3)

# Метод 2: Линейная регрессия
X = np.arange(len(monthly_data)).reshape(-1, 1) y = monthly_data.values
model_lr = LinearRegression().fit(X, y)
forecast_lr = model_lr.predict([[len(monthly_data)+i] for i in range(3)])

# Метод 3: Скользящее среднее window_size = 3
forecast_ma = [monthly_data[-window_size:].mean()] * 3
# Усреднение прогнозов
self.final_forecast = (forecast_es + forecast_lr + forecast_ma) / 3

# Создание прогнозных таблиц self.create_forecast_tables() self.create_pie_charts()

def create_forecast_tables(self): # Прогноз по категориям
category_forecast = self.data.groupby('Категория')['Сумма операции'].mean() * self.fina

# Прогноз по описаниям
description_forecast = self.data.groupby('Описание')['Сумма операции'].mean() * self.fi

# Отображение таблиц
self.create_table(self.forecast_frame, category_forecast, "Прогноз по категориям") self.create_table(self.forecast_frame, description_forecast, "Прогноз по описаниям")

def create_table(self, parent, data, title): frame = ttk.Frame(parent)
tree = ttk.Treeview(frame)

# Настройка колонок
tree["columns"] = list(data.columns) tree.column("#0", width=200)
for col in data.columns:
tree.column(col, width=100)

# Заголовки
tree.heading("#0", text=title) for col in data.columns:
tree.heading(col, text=str(col))

# Данные
for index, row in data.iterrows():
tree.insert("", tk.END, text=index, values=list(row))

tree.pack(expand=True, fill=tk.BOTH) frame.pack(side=tk.LEFT, expand=True, fill=tk.BOTH)

def create_pie_charts(self):
fig = Figure(figsize=(8, 4))
for i, month in enumerate(self.final_forecast.index): ax = fig.add_subplot(1, 3, i+1)
self.data.groupby('Категория')['Сумма операции'].sum().plot.pie(ax=ax) ax.set_title(f"Прогноз на {month.strftime('%B %Y')}")

canvas = FigureCanvasTkAgg(fig, self.forecast_frame) canvas.get_tk_widget().pack()

if  name	 == " main ": root = tk.Tk()
app = FinanceAnalyzerApp(root)
root.geometry("1200x800") root.mainloop()

Итерация 2

Я подумал, что дело может быть в кривизне данных именно в xlsx-выгрузке. Мысль показалась гениальной, и... я попросил китайца о следующем:

Промпт: измени код таким образом, чтобы можно было загружать информацию из файлов csv.

Далее DeepSeek приводит модифицированный код и список основных изменений:

1. Поддержка нескольких форматов:

добавлена возможность выбора как CSV (.csv), так и Excel (.xlsx) файлов;
автоматическое определение формата по расширению файла;
чтение CSV.

2. Использование pd.read_csv() с параметрами:

parse_datesдляправильногораспознаваниядат;
dayfirst=True для формата даты ДД.ММ.ГГГГ;
delimiter=',' (можно изменить на ';' если используется другой разделитель);
encoding='utf-8' (можно изменить на 'cp1251' для русских файлов).

3.Обработка ошибок:

добавленблокtry/exceptдляобработкиневалидныхфайлов;
показ ошибок через стандартный диалог.

И снова вышел ряд предупреждений-рекомендаций, чтобы все, типа, работало:

1.	Установите зависимости (если еще не
установлены): pip install pandas numpy matplotlib statsmodels scikit-learn
2.	Запустите приложение и выберите CSV-файл со следующей структурой: Дата операции;Сумма операции;Категория;Описание 01.01.2023;1500;Продукты;Покупка в магазине 05.01.2023;3000;Транспорт;Заправка
3.	При возникновении проблем с кодировкой/разделителем измените параметры в
pd.read_csv():
delimiter=';', # Для разделителя "точка с запятой" encoding='cp1251' # Для русской кодировки Windows

Итог: код не срабатывает. При попытке загрузить файл csv выходит сообщение: ошибка загрузки файла: 'UTF-8' cjdec can't decode byte 0xc4 in position 0^ invalid continuation byte

Итерация 3

Как говорится, так и запишем.

Промпт:

Код не срабатывает. При попытке загрузить файл csv выходит сообщение: ошибка загрузки файла: 'UTF-8' cjdec can't decode byte 0xc4 in position 0^ invalid continuation byte

AI запускает цепочку рассуждений (да, кстати, это то, что интересно, и что выгодно отличает DeepSeek от всех остальных, ведь всегда можно проследить за ходом "мыслей" этого технологического чуда). В результате самодиагностики рождается следующий ответ: ошибка возникает из-за несовпадения кодировки файла и указанной в коде (utf-8 vs cp1251).

Нейронка приводит скорректированный кусок кода (заметьте, она понимает, где косяк, и правит именно это место) и список основных изменений:

1. Автоматический подбор кодировки:

последовательно пробуем utf-8 → cp1251 → iso-8859-1;
раскомментируйте другие кодировки при необходимости (например, 'windows-1251').

2. Проверка структуры файла:

обязательные колонки: Дата операции, Сумма операции, Категория, Описание;
если колонки названы иначе, появится понятное сообщение.

3. Гибкий разделитель:

по умолчанию используется; (для русских CSV из Excel);
если в вашем файле разделитель, поменяйте delimiter=','.

Рекомендации для того, чтобы все работало:

1. Убедитесь, что CSV-файл имеет правильный формат.

2. Если файл создан в Excel на Windows:

сохраните его как "CSV (разделитель - точка с запятой)";
выберите кодировку UTF-8 с BOM или Windows (по умолчанию).

3. Для файлов с запятыми как разделителями:

измените в коде delimiter=',';
убедитесь, что десятичные числа используют точку (например, 100.50).

Дабы не раздувать статью, код не привожу, так как он заработал, а в остальном там ничего существенно не изменилось, и в цифрах та же абракадабра (для "продвинутого пользователя").

Итог: при указании на ошибку AI способен самостоятельно сообразить, в чем загвоздка, обнаружить ее, исправить и выдать готовое решение проблемы. Но только при указании. Изначально он ее не видит.

Итерация 4

И вот здесь я вдруг понял, что надо несколько переформулировать изначальный промпт, ибо в таблице присутствуют избыточные данные, при анализе отсутствует возможность сортировки по датам, а также отсутствует группировка по категориям и статьям расходов внутри последних (в Т-банке этот столбец называется "Описание"). Также нужна какая-то примитивная инфографика, ибо нейросеть никак не хотела рисовать круговые диаграммы, о которых я просил в самом начале. Таким образом, задача стала выглядеть так:

Промпт: давай изменим задачу. Есть таблица, содержащая следующие поля:

1. Дата операции.

2. Дата платежа.

3. Категория.

4. Описание.

5. Сумма операции.

Записи в таблице располагаются по убыванию от ближней даты к дальней.

1. Информацию о расходах, сгруппированную по годам, месяцам и числам, а также по категориям и описаниям.

2. Прогноз по расходам на ближайшие три месяца.

Итоговый анализ расходов должен выводиться в виде таблицы, где приведены данные по категориям и описаниям, входящим в эти категории. Должна быть возможность выбрать период для просмотра данных по расходам. Должна быть возможность сворачивать и разворачивать категории для просмотра данных по входящим в категории описаниям. Под таблицей с данными по выбранному периоду должна приводиться гистограмма расходов по категориям.

Итоговый прогноз должен выводиться в виде:

Таблицы прогноза, где возможно сворачивать и разворачивать категории для просмотра данных по входящим в категории описаниям. Под таблицей должна приводиться гистограмма расходов по категориям отдельно по каждому прогнозируемому месяцу.

Итак, немного порассуждав, китаец привел работающий код, который дает нам следующее:

Итог: здесь уже можно констатировать наличие области гистограмм. Однако, выполнять свою функцию в полной мере приложение не может, ибо куда-то делась поддержка xls. Только xlsx и csv. Поэтому в следующей итерации я попрошу добавить поддержку xls.

Итерация 5

Промпт: добавь в код возможность загружать данные из файлов xls. Приведи полный текст кода.

Итог: код запускается, но при попытке загрузить данные выходит ошибка загрузки файла: Missing optional dependency 'xlrd'. Install xlrd>= for xls Excel

Итерация 6

Промпт: выходит сообщение об ошибке: ошибка загрузки файла: Missing optional dependency 'xlrd'. Install xlrd>= for xls Excel.

Ответ: ошибка возникает из-за отсутствия библиотеки xlrd, необходимой для чтения старых Excel-файлов (.xls). Далее нейросеть предлагает выполнить шаги для исправления ситуации:

1. Установите обязательные зависимости:

pip install pandas numpy matplotlib statsmodels scikit-learn tk xlrd openpyxl

2. Если возникает ошибка с xlrd: для современных версий .xls файлов может потребоваться дополнительная настройка. Добавьте в код явное указание движка (далее дается кусок кода, который надо вставить).

Также DeepSeek предлагает альтернативное решение по ручной конвертации xls в xlsx через Excel.

Еще он предлагает использовать следующий способ:

self.data = pd.read_excel(file_path, engine='calamine')

При этом предлагается установить calamine:

pip install python-calamine

После того, как я без особых раздумий сделал все, о чем меня попросил DeepSeek , я запустил код. GUI остался прежний, но при попытке загрузить данные вышла ошибка: too many values to unpack (expected 2)

Так и запишем.

Итерация 7

Промпт: выходит ошибка: too many values to unpack (expected 2)

Ответ: ошибка возникает из-за несоответствия количества элементов при распаковке данных. Давайте исправим код.

Далее искусственный разум предлагает исправить методы update_analysis и generate_forecast

на предмет обработки multiIndex и приводит куски кода для замены. Следует отметить, что подробный самоанализ приводится в довольно большой портянке рассуждений, откуда можно понять, в чем DeepSeek видит свои недоработки и как именно их исправляет.

Основные моменты:

1. Исправлена распаковка данных:

в цикле по описаниям убрана лишняя переменная cat;
в прогнозе исправлена работа с MultiIndex.

2. Исправлено создание дат:

используется pd.DateOffset для корректного расчета дат прогноза.

3. Изменена работа с массивами:

правильное использование reshape() для совместимости размерностей.

4. Обработка MultiIndex в методах update_analysis и generate_forecast.

5. Формирование прогнозных дат с использованием pd.DateOffset.

6. Матричные операции для расчета прогнозных значений.

7. Индексация данных при работе с группировками.

8. Визуализация прогноза с обновлением осей.

Также снова предлагается установить зависимости:

pip install pandas numpy matplotlib statsmodels scikit-learn tk xlrd openpyxl python-calamine

Итог: ничего не изменилось. Ошибка не ушла. Повторяем запрос.

Итерация 8

Промпт: снова выходит ошибка: too many values to unpack (expected 2). Исправь ошибку и приведи полный текст кода.

Ответ: вот полностью исправленный код с обработкой MultiIndex. Ошибка возникала из-за неправильной работы с группировками.

Основные моменты:

1. Добавлен параметр observed=True в группировки для правильной работы с категориальными данными.

2. Исправлена итерация по MultiIndex с использованием. xs() и .items().

3. Переработано создание прогнозных данных с использованием матричных операций.

4. Добавлена проверка наличия категории в индексе перед итерацией.

5. Исправлено создание дат прогноза с использованием pd.DateOffset.

И, хотя мы это уже делали неоднократно, снова предлагается установить зависимости (видимо, AI так перестраховывается):

pip install pandas numpy matplotlib statsmodels scikit-learn xlrd openpyxl

Итог: наконец-то мы видим более-менее работающий продукт:

1. Данные ложатся, ошибок не выходит;

2. Категории раскрываются до описаний;

3. Гистограммы работают;

4. На вкладке анализа появился фильтр по датам.

Но! Все-таки опус нуждается в доработке, так как все еще несколько кривоват: цифры прогнозов кривые (тут вопрос, скорее, к выбранным методам и к генеральной совокупности), подписи на гистограммах – просто ужас. Фильтр работает в режиме ручного введения дат. В окне данных месяцы не подписаны.

Итерация 9

Здесь я попытался заставить машину сгладить шероховатости.

Промпт: прекрасно. Все работает. Теперь давай доработаем некоторые моменты:

1. На вкладке «Прогноз гистограммы» данные должны располагаться последовательно сверху вниз. Над каждой диаграммой должно быть название прогнозируемого месяца.

2.Давай не будем брать для прогноза те описания, сумма по которым менее 500.

3. Давай не будем выводить в таблицу и на гистограммы описания, сумма прогноза по которым меньше 1000.

4. На гистограммах давай будем подписывать значение каждого столбца.

5. Давай сделаем фильтр по датам в виде выпадающего календаря.

Ответ (дословно):

для работы установите следующие зависимости:

pip install pandas numpy matplotlib statsmodels scikit-learn xlrd openpyxl tkcalendar

1. Добавлен красивый календарь с помощью tkcalendar.

2. Гистограммы прогноза теперь расположены вертикально.

3. Добавлены подписи значений над столбцами на всех графиках.

4. Реализована фильтрация:

исключены операции с суммой<500призагрузкеданных.
не выводятся описания с прогнозом < 1000.

5. Над каждой гистограммой прогноза добавлена подпись с месяцем.

6. Улучшено отображение числовых значений на графиках.

Теперь приложение соответствует всем указанным требованиям. Для выбора дат используйте выпадающие календари, а прогнозные данные автоматически фильтруются по заданным условиям.

Итог: при загрузке данных выходит буквально следующее: ошибка прогнозирования «Бонусы».

Итерация 10

Промпт: выдает ошибку: ошибка прогнозирования Бонусы. В предыдущей итерации такого не было.

Ответ: ошибка возникает из-за фильтрации данных. Давайте исправим код, добавив проверки на наличие данных после фильтрации. Далее выдается кусок раскомментированного кода для замены.

Основные изменения:

1. Добавлены проверки на наличие данных перед прогнозированием.

2. Исправлена фильтрация данных (сначала фильтруем исходные данные по 500, потом прогноз по 1000).

3. Добавлена обработка коротких временных рядов для ExponentialSmoothing.

4. Добавлена проверка на существование категорий после фильтрации.

5. Реализована отрисовка "Нет данных" для пустых графиков.

6. Исправлена логика фильтрации для сохранения родительских категорий. Для работы необходимо обновить зависимости:

pip install statsmodels --upgrade

Итог: промпт, в общем, отработан, однако гистограммы по-прежнему расположены горизонтально, а выпадающий календарь выходит за границы экрана, и им невозможно пользоваться. Будем пробовать дальше.

Итерация 11

Промпт: отлично. Все работает. Давай доработаем следующее:

1. Сделаем гистограммы полноразмерными и добавим возможность вертикальной прокрутки в окне гистограмм, чтобы была возможность их просмотра.

2. Уменьшим шрифты так, чтобы гистограммы были читаемы.

3. Расположим надписи на гистограммах вертикально. Итоговый размер гистограммы должен быть таким, чтобы все ее элементы были читаемы и входили на нее.

4. В конце таблицы добавим общую сумму прогноза на месяц и красиво выделим эту строку. Рядом с гистограммами справа также добавим итоговую сумму прогноза.

Ответ: цифровой помощник выдает код и уточняет что он "с учетом ваших требований".

Основные изменения:

1. Добавлен кастомный ScrollableFrame для графиков.

2. Уменьшены размеры шрифтов (основной график: 8pt, заголовки: 10pt).

3. Повернуты подписи на гистограммах на 90 градусов.

4. Добавлена строка "Итого" в таблицу прогноза с выделением.

5. Отображается общая сумма прогноза справа от каждого графика.

6. Улучшено адаптивное масштабирование элементов интерфейса.

7. Добавлены отступы и улучшено визуальное оформление.

Снова предлагается установить зависимости:

pip install pandas numpy matplotlib statsmodels scikit-learn xlrd openpyxl tkcalendar

Итог: на вкладке "Прогнозы" ситуация испортилась:

1. Исчезла таблица с цифрами прогнозов по категориям.

2. Графики переместились в правую часть экрана.

3. Прокрутка гистограмм работает только при наведении на полосу скролла.

Итерация 12

Промпт: на вкладке "Прогнозы" все стало плохо:

1. Исчезла таблица с цифрами прогнозов по категориям.

2. Графики переместились в правую часть экрана.

Давай сделаем следующее:

1. Вернем на вкладку прогнозов цифры по всем категориям и вложенным в них описаниям, чтобы категории можно было раскрывать и видеть описания.

2. Переместим окно с гистограммами вниз под таблицу.

3. На гистограммах сделаем так, чтобы числовые значения категорий не отображались, а при наведении на конкретный столбец всплывал поп-ап с числовым значением этого столбца.

4. Не будем включать в прогноз категории "Переводы" и "Пополнения".

5. На вкладке анализа в таблице и рядом с гистограммой будем выводить итоговую сумму всех расходов за период.

Ответ: нейросеть выдает код "с учетом всех требований".

Основные изменения:

1. Восстановлена иерархическая таблица прогнозов с возможностью раскрытия категорий.

2. Графики прогноза теперь отображаются под таблицей.

3. Добавлены всплывающие подсказки для значений на графиках.

4. Исключены категории "Переводы" и "Пополнения".

5. Добавлено отображение итоговой суммы на вкладке анализа.

6. Оптимизировано отображение календарей (не выходят за пределы экрана).

7. Улучшено форматирование графиков и таблиц.

8. Добавлены подписи итоговых сумм рядом с графиками.

И снова предлагается установить зависимости

pip install pandas numpy matplotlib statsmodels scikit-learn xlrd openpyxl tkcalendar

Итог: все стало поаккуратнее, но ситуация по-прежнему не айс, ибо проявились следующие недостатки:

1. В прогнозе перестали раскрываться категории, гистограммы снова переехали, но пропала возможность скролла, и их все не посмотреть.

2. В анализе гистограмма сжалась и уехала вправо, а середину занимает пустое пространство, где работает фильтр по дате с выпадающим календарем.

3. Не появилось поп-апа при наведении на столбцы гистограммы.

Далее я пытался убрать оставшиеся шероховатости. И все бы ничего, но на 15 итерации вылезла следующая проблема: прогнозные значения стали сильно завышенными. Суммы отображались очень большие и заведомо ложные.

Итерация 16

Промпт: в общем, все хорошо. Но надо исправить следующий недочет: на вкладке прогноза при раскрытии категории отображаются некорректные (сильно завышенные) прогнозные числовые значения по описаниям. Итоговая сумма значений по описаниям сильно выше прогнозного значения по категории, в которую они входят. Нужно сделать так, чтобы прогнозные значения по описаниям вычислялись корректно.

Ответ: для исправления этой проблемы необходимо скорректировать расчет прогнозных значений для описаний внутри категорий. Ошибка возникает из-за неправильного распределения прогнозных значений по описаниям. Вместо того чтобы умножать прогнозное значение категории на долю описания в общей сумме категории, мы должны распределить прогнозное значение категории пропорционально долям описаний. Теперь для каждого описания внутри категории вычисляется его доля от общей суммы категории (desc_ratios).

Итог: на этом я остановился, так как код более-менее начал соответствовать изначальному замыслу, и приложением стало возможно пользоваться, хотя, конечно, оно далеко от совершенства (наверное, профи в анализе данных просто плюнут в нашу с DeepSeek-ом сторону). Тем не менее, на мой взгляд, эксперимент поставлен худо-бедно, но корректно, результаты имеются, и можно делать выводы.

Выводы

1. Да, искусственный интеллект весьма неплохо (насколько я вообще могу об этом судить) пишет код, способен к самодиагностике и исправлению своих ошибок. Но!.. только с подачи "заказчика", который должен обладать как минимум:

умением структурированно мыслить и формулировать запросы, пусть даже и не на уровне техпрофи;
хотя бы поверхностным знанием предметной области (программирования), чтобы, например, выбрать нужный язык;
знанием того, как установить язык, что такое менеджер пакетов, и как с его помощью загрузить нужные компоненты;
как следствие из предыдущего пункта — умением работать с терминалом/командной строкой;
умением работать с IDE (notepad++ здесь вряд ли подойдет) хотя бы в части запуска кода;
способностью хотя бы к поверхностному анализу результатов запроса;
минимальными (можно сказать, примитивными) навыками тестирования на уровне "научного тыка".

Таким образом, для реализации изначального замысла, обозначенного в начале статьи, тот самый "опытный пользователь" по уровню компетенций приближается (пусть и не вплотную) к junior-питонисту.

2. Стопроцентное достижение изначального замысла видится практически невозможным (хотя, это может быть не так). Такое ощущение, что мы будем, подобно гиперболе, бесконечно к нему приближаться, но так и не достигнем.

3. Вне итеративного подхода, то есть за 1-2 промпта, мы можем получить работающий результат, но он, вероятно, будет далек от истины. Мне потребовалось 16 итераций чтобы более-менее приблизиться к истине.

4. Таким образом, среднестатистический пользователь вряд ли способен создать работающее решение, просто общаясь с нейросетью на человеческом языке.

5. Да, нейросети действительно могут разгрузить/дополнить IT-специалистов в части кодинга, дебага и т.п., но создать целостное решение, соответствующее требованиям заказчика без участия человека, они неспособны. Так что работаем дальше, коллеги!

P.S. Ниже приведен итоговый код, на котором я решил остановиться. В этом виде приложение действительно способно показать более-менее понятную картину расходов и более-менее внятно (не говорю, что правильно или корректно) спрогнозировать расходы. Думается, что доработку этого кода можно продолжить тем же самым способом, заложив туда более подходящие методы, и в итоге получить более пристойный результат.

import pandas as pd import numpy as np import tkinter as tk
from tkinter import ttk, filedialog, messagebox from tkcalendar import DateEntry
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from matplotlib.figure import Figure
from statsmodels.tsa.api import ExponentialSmoothing from sklearn.linear_model import LinearRegression import matplotlib.pyplot as plt
from matplotlib.backend_bases import PickEvent

class Tooltip:
def  init (self, ax, patches): self.ax = ax
self.patches = patches
self.annot = ax.annotate("", xy=(0,0), xytext=(20,20),
textcoords="offset points", bbox=dict(boxstyle="round", fc="w"), arrowprops=dict(arrowstyle="->"))
self.annot.set_visible(False)

def hover(self, event):
vis = self.annot.get_visible() if event.inaxes == self.ax:
for patch in self.patches:
cont, ind = patch.contains(event) if cont:
self.annot.xy = (patch.get_x() + patch.get_width()/2, patch.get_height()) self.annot.set_text(f"{patch.get_height():.2f}") self.annot.get_bbox_patch().set_alpha(0.8)
self.annot.set_visible(True) self.ax.figure.canvas.draw_idle() return
if vis:
self.annot.set_visible(False) self.ax.figure.canvas.draw_idle()

class FinanceAnalyzerApp:
def  init (self, root): self.root = root
self.root.title("Анализатор расходов v3.2") self.data = None
self.forecast_data = None

self.create_widgets() self.create_date_filters()

def create_widgets(self):
self.file_frame = ttk.Frame(self.root)
self.load_btn = ttk.Button(self.file_frame, text="Загрузить данные", command=self.load_ self.load_btn.pack(side=tk.LEFT, padx=5)
self.file_frame.pack(fill=tk.X, pady=5) self.notebook = ttk.Notebook(self.root)
self.analysis_tab = ttk.Frame(self.notebook) self.create_analysis_widgets()

self.forecast_tab = ttk.Frame(self.notebook) self.create_forecast_widgets()

self.notebook.add(self.analysis_tab, text="Анализ") self.notebook.add(self.forecast_tab, text="Прогноз") self.notebook.pack(expand=True, fill=tk.BOTH)

def create_date_filters(self):
self.date_filter_frame = ttk.Frame(self.analysis_tab)

self.start_date_label = ttk.Label(self.date_filter_frame, text="Начальная дата:") self.start_date_label.pack(side=tk.LEFT, padx=5)

self.start_date_entry = DateEntry( self.date_filter_frame, date_pattern='yyyy-mm-dd', locale='ru_RU', firstweekday='sunday', mindate=pd.Timestamp('2000-01-01'), maxdate=pd.Timestamp('2100-01-01')
)
self.start_date_entry.pack(side=tk.LEFT, padx=5)

self.end_date_label = ttk.Label(self.date_filter_frame, text="Конечная дата:") self.end_date_label.pack(side=tk.LEFT, padx=5)

self.end_date_entry = DateEntry(
 
self.date_filter_frame, date_pattern='yyyy-mm-dd', locale='ru_RU', firstweekday='sunday', mindate=pd.Timestamp('2000-01-01'), maxdate=pd.Timestamp('2100-01-01')
)
self.end_date_entry.pack(side=tk.LEFT, padx=5)

self.apply_filter_btn = ttk.Button( self.date_filter_frame, text="Применить фильтр", command=self.update_analysis
)
self.apply_filter_btn.pack(side=tk.LEFT, padx=5) self.date_filter_frame.pack(fill=tk.X, pady=5)
def create_analysis_widgets(self):
self.analysis_tree = ttk.Treeview(self.analysis_tab, columns=("Сумма"), show="tree head self.analysis_tree.heading("#0", text="Категория/Описание") self.analysis_tree.heading("Сумма", text="Сумма")
self.analysis_tree.pack(side=tk.LEFT, fill=tk.BOTH, expand=True, padx=5, pady=5)

self.analysis_fig = Figure(figsize=(6, 4), dpi=100) self.analysis_ax = self.analysis_fig.add_subplot(111)
self.analysis_canvas = FigureCanvasTkAgg(self.analysis_fig, self.analysis_tab)
self.analysis_canvas.get_tk_widget().pack(side=tk.RIGHT, fill=tk.BOTH, expand=True)

self.total_label = ttk.Label(self.analysis_tab, text="Итого: 0.00", font=('TkDefaultFon self.total_label.pack(side=tk.BOTTOM, fill=tk.X)

def create_forecast_widgets(self):
self.forecast_paned = ttk.PanedWindow(self.forecast_tab, orient=tk.HORIZONTAL)

self.forecast_tree_frame = ttk.Frame(self.forecast_paned, width=400) self.forecast_tree = ttk.Treeview(
self.forecast_tree_frame,
columns=("Месяц 1", "Месяц 2", "Месяц 3"), show="tree headings"
)
self.forecast_tree.heading("#0", text="Категория/Описание") self.forecast_tree.column("#0", width=200)
 
self.forecast_tree.heading("Месяц 1", text="Месяц 1")
self.forecast_tree.heading("Месяц 2", text="Месяц 2")
self.forecast_tree.heading("Месяц 3", text="Месяц 3") self.forecast_tree.tag_configure('total', background='#e0e0e0', font=('TkDefaultFont',

tree_scroll = ttk.Scrollbar(self.forecast_tree_frame, orient="vertical", command=self.f self.forecast_tree.configure(yscrollcommand=tree_scroll.set) self.forecast_tree.pack(side=tk.LEFT, fill=tk.BOTH, expand=True) tree_scroll.pack(side=tk.RIGHT, fill="y")

self.forecast_graph_frame = ttk.Frame(self.forecast_paned) self.forecast_canvas = tk.Canvas(self.forecast_graph_frame)
self.scrollbar = ttk.Scrollbar(self.forecast_graph_frame, orient="vertical", command=se self.scrollable_frame = ttk.Frame(self.forecast_canvas)

self.scrollable_frame.bind( "<Configure>",
lambda e: self.forecast_canvas.configure( scrollregion=self.forecast_canvas.bbox("all")
)
)

self.forecast_canvas.create_window((0, 0), window=self.scrollable_frame, anchor="nw") self.forecast_canvas.configure(yscrollcommand=self.scrollbar.set)

self.forecast_canvas.pack(side=tk.LEFT, fill=tk.BOTH, expand=True) self.scrollbar.pack(side=tk.RIGHT, fill="y")

self.forecast_paned.add(self.forecast_tree_frame, weight=1) self.forecast_paned.add(self.forecast_graph_frame, weight=3) self.forecast_paned.pack(fill=tk.BOTH, expand=True)

def load_data(self):
file_path = filedialog.askopenfilename( filetypes=[
("CSV files", "*.csv"),
("Excel files", "*.xls"),
("Excel files", "*.xlsx")
]
)

if file_path: try:
 
if file_path.endswith('.csv'): self.data = pd.read_csv(
file_path,
parse_dates=['Дата операции'], dayfirst=True,
delimiter=';',
encoding='cp1251'
)
elif file_path.endswith('.xls'): self.data = pd.read_excel(
file_path,
parse_dates=['Дата операции'], engine='xlrd'
)
elif file_path.endswith('.xlsx'): self.data = pd.read_excel(
file_path,
parse_dates=['Дата операции'], engine='openpyxl'
)

if not self.data.empty: self.data = self.data[
(self.data['Сумма операции'] >= 500) &
(~self.data['Категория'].isin(['Переводы', 'Пополнения']))
]

self.prepare_data() self.update_analysis() self.generate_forecast()

except Exception as e:
messagebox.showerror("Ошибка", f"Ошибка загрузки файла: {str(e)}")

def prepare_data(self): if self.data.empty:
return

self.data['Дата операции'] = pd.to_datetime(self.data['Дата операции']) self.data['Год'] = self.data['Дата операции'].dt.year self.data['Месяц'] = self.data['Дата операции'].dt.month self.data['День'] = self.data['Дата операции'].dt.day
 
self.start_date_entry.set_date(self.data['Дата операции'].min()) self.end_date_entry.set_date(self.data['Дата операции'].max())

def update_analysis(self): self.clear_tree(self.analysis_tree) self.analysis_ax.clear()

try:
if self.data.empty:
raise ValueError("Нет данных для анализа")

start_date = pd.to_datetime(self.start_date_entry.get_date()) end_date = pd.to_datetime(self.end_date_entry.get_date()) filtered_data = self.data[
(self.data['Дата операции'] >= start_date) & (self.data['Дата операции'] <= end_date)
]

if filtered_data.empty:
raise ValueError("Нет данных в выбранном диапазоне дат")

total = filtered_data['Сумма операции'].sum() self.total_label.config(text=f"Итого: {total:.2f}")

categories = filtered_data.groupby('Категория', observed=True)['Сумма операции'].su details = filtered_data.groupby(['Категория', 'Описание'], observed=True)['Сумма оп

for category in categories.index:
parent = self.analysis_tree.insert("", "end", text=category, values=(f"{categor if (category,) in details.index:
for desc, amount in details.xs(category).items(): self.analysis_tree.insert(parent, "end", text=desc, values=(f"{amount:.

if not categories.empty:
categories.plot(kind='barh', ax=self.analysis_ax) self.analysis_ax.set_title('Распределение расходов по категориям', fontsize=10) self.analysis_ax.tick_params(axis='both', which='major', labelsize=8) self.analysis_ax.set_xlabel('Сумма', fontsize=8)
self.analysis_ax.text(0.95, 1.02, f"Итого: {total:.2f}",
transform=self.analysis_ax.transAxes, ha='right', fontsize=9)
self.analysis_fig.tight_layout()
else:
 
self.analysis_ax.text(0.5, 0.5, "Нет данных", ha='center', va='center') self.analysis_canvas.draw()
except Exception as e:
messagebox.showerror("Ошибка", f"Ошибка анализа: {str(e)}")

def generate_forecast(self): self.clear_tree(self.forecast_tree)
for widget in self.scrollable_frame.winfo_children(): widget.destroy()

try:
if self.data.empty:
raise ValueError("Нет данных для прогнозирования")

monthly_data = self.data.resample('M', on='Дата операции')['Сумма операции'].sum()

if len(monthly_data) < 3:
raise ValueError("Недостаточно данных для прогнозирования (требуется минимум 3

models = {
'Экспоненциальное сглаживание': ExponentialSmoothing( monthly_data,
seasonal='add',
seasonal_periods=min(12, len(monthly_data))
).fit().forecast(3),
'Линейная регрессия': LinearRegression().fit( np.arange(len(monthly_data)).reshape(-1, 1), monthly_data.values
).predict(np.arange(len(monthly_data), len(monthly_data)+3).reshape(-1, 1)), 'Скользящее среднее': [monthly_data.rolling(3).mean().iloc[-1]] * 3
}

self.forecast_data = pd.DataFrame(models).mean(axis=1)

category_ratios = self.data.groupby('Категория', observed=True)['Сумма операции'].s total = category_ratios.sum()
if total == 0:
raise ValueError("Нет данных для прогнозирования") category_ratios = category_ratios / total

forecast_categories = pd.DataFrame(
 
np.outer(self.forecast_data, category_ratios), columns=category_ratios.index
)

forecast_dates = pd.date_range(
start=monthly_data.index[-1] + pd.DateOffset(months=1), periods=3,
freq='M'
)

self.forecast_tree.heading("Месяц 1", text=forecast_dates[0].strftime("%b %Y")) self.forecast_tree.heading("Месяц 2", text=forecast_dates[1].strftime("%b %Y")) self.forecast_tree.heading("Месяц 3", text=forecast_dates[2].strftime("%b %Y"))

total_values = [] for i in range(3):
total_values.append(forecast_categories.iloc[i].sum())

category_details = self.data.groupby(['Категория', 'Описание'], observed=True)['Сум

for category in forecast_categories.columns:
parent = self.forecast_tree.insert("", "end", text=category,
values=tuple(f"{x:.2f}" for x in forecast_categories[catego

if (category,) in category_details.index:
desc_ratios = category_details.xs(category) / category_details.xs(category) for desc, ratio in desc_ratios.items():
desc_values = [
f"{forecast_categories[category][i] * ratio:.2f}" for i in range(3)
]
self.forecast_tree.insert(parent, "end", text=desc, values=desc_values)

self.forecast_tree.insert("", "end", text="Итого",
values=tuple(f"{v:.2f}" for v in total_values), tags=('total',))

for i, date in enumerate(forecast_dates): fig = Figure(figsize=(10, 5), dpi=80) ax = fig.add_subplot(111)

data_to_plot = forecast_categories.iloc[i] if not data_to_plot.empty:
 
patches = ax.bar(data_to_plot.index, data_to_plot.values) ax.set_title(date.strftime("%B %Y"), fontsize=10) ax.tick_params(axis='x', rotation=90, labelsize=8) ax.tick_params(axis='y', labelsize=8)

tooltip = Tooltip(ax, patches) fig.canvas.mpl_connect("motion_notify_event", tooltip.hover)

fig.tight_layout()
canvas = FigureCanvasTkAgg(fig, self.scrollable_frame) canvas.get_tk_widget().pack(fill=tk.BOTH, expand=True, pady=5)

except Exception as e:
messagebox.showerror("Ошибка", f"Ошибка прогнозирования: {str(e)}")

def clear_tree(self, tree):
for item in tree.get_children(): tree.delete(item)

if  name	 == " main ": root = tk.Tk()
app = FinanceAnalyzerApp(root)
root.geometry("1400x900") root.mainloop()

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26 мар. 2025 г.

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02.07.26 01:22 Lieneke Bonnema

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02.07.26 01:26 Clara Morin

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02.07.26 01:31 Robin Hale

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04.07.26 15:32 Fraddy Pual

There are few companies I trust as much as FUNDSRETRIEVER. When I lost $653,000 in Ethereum to a ruthless scam, I thought my life would never be the same. The betrayal cut deep, but I refused to give up. I searched tirelessly for a legitimate way to recover what was stolen, and finally found FUNDSRETRIEVER—the most competent and compassionate recovery team I could have imagined. They handled my case with precision and care, and in the end, my entire ETH wallet was restored. More than the money, they gave me back my hope and happiness. I'm sharing my story because I want others to know that recovery is possible. If a scam has taken from you, don't hesitate—contact FUNDSRETRIEVER today. Email: FUNDSRETRIEVER1@ Gmail.com | WhatsApp: +1 603-512-1448 | Telegram: @FUNDSRETRIEVER
05.07.26 14:44 lydiassmith567

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05.07.26 14:44 lydiassmith567

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06.07.26 16:20 Olga Ognjanović

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06.07.26 16:31 Joseph Weigl

Invest wisely and stay cautious. Don't be influenced by promises of unusually high returns or convincing sales pitches from brokers. I learned this the hard way after falling victim to an investment scam that promised huge profits. Fortunately, I acted quickly and reported the incident to a recovery firm for assistance. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146
06.07.26 16:33 Jaran Løvlien

A heartfelt thank you to RESQPRO FIRM for their commitment and professionalism throughout the investigation of my case. Their team worked diligently and helped recover assets valued at $88,000, which were returned to my wallet. I truly appreciate their support, clear communication, and dedication, and I'm grateful for the assistance I received. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146
07.07.26 18:00 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
07.07.26 18:01 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
09.07.26 19:06 Toivo Walli

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09.07.26 19:10 Misty Alexander

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09.07.26 19:13 Clara Soto

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12.07.26 03:30 Kora Baltacha

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12.07.26 03:33 Pahal Mathew

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13.07.26 23:49 [email protected]

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15.07.26 11:53 Sarah Green

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15.07.26 11:58 Lily Gagné

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16.07.26 21:38 patricialovick86

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16.07.26 21:38 patricialovick86

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17.07.26 19:24 laimqq90

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17.07.26 20:12 martinsjude080

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18.07.26 17:12 Malthe Larsen

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18.07.26 17:42 پریا رضایی

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18.07.26 17:46 Adem Akışık

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18.07.26 23:51 bernalzenaida

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19.07.26 04:10 Fraddy Pual

I can't thank Fundsretriever enough for everything they did for me. My name is Vanessa Conway, and I'm here to tell you my story of how I recovered money I never thought I'd see again. A few months ago, I put a significant amount of money into what looked like a genuine online investment company. At first, it felt real—they showed me fake profits and convinced me to invest even more. But when I tried to cash out, they went quiet and started asking for extra fees. That's when it hit me—I had been scammed. I was heartbroken, frustrated, and didn't know where to turn. That money was my savings—months of hard work gone. Then I found Fundsretriever online. I reached out, hoping for a miracle. Right away, their team made me feel heard. They were responsive, knowledgeable, and walked me through everything. They didn't just take my case—they took it seriously and kept me in the loop every step of the way. I finally felt like I had real experts fighting for me. And guess what? They actually got my money back. It wasn't instant, and it took teamwork, but it happened. When I saw those funds returned, I cried with joy. I'm sharing this so that anyone else out there who's been scammed knows—don't lose hope. Do your research before investing, and stay far away from platforms that promise too much too fast. And if you've already been stung, don't wait—get professional help immediately. Thank you, Fundsretriever, from the bottom of my heart. You didn't just recover my money—you restored my faith. — Vanessa Conway 📧 [email protected] 📱 WhatsApp: +16035121448 💬 Telegram: @Fundsretriever
19.07.26 19:53 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
19.07.26 19:53 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
19.07.26 19:54 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
30.07.26 00:04 Ahmed

A really cool analysis, thank you. I was especially struck by how strictly the order is defined: data processing and formatting come first, with color only at the very end. This really saves you from the typical mistake of "first a pretty palette, then we figure out what the chart is for." And the palette validator with OKLCH + colorblindness check is absolutely fantastic; you almost never see that in regular tools. By the way, while reading about rank-trajectory and the logarithmic scale, I immediately remembered how convenient it is to analyze dynamics on charts in ExpertOption—I've been trading there for quite some time now. When the data is well visualized, decisions are noticeably easier and more relaxed. I also liked the point about "no more than eight colors" and the dual-axis ban. Strict restrictions sometimes actually produce better results than complete freedom. I'll try this approach myself.
30.07.26 17:27 wendytaylor015

My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
30.07.26 17:27 wendytaylor015

My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
31.07.26 16:21 rssllhrnsb

I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Doris Ashley, who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina TEXT : (tatianasorina06 at G.Ma IL ..c 0 m ) Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.
01.08.26 15:05 keithwilson9899

ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
01.08.26 15:05 keithwilson9899

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03.08.26 20:05 Philip

I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
03.08.26 20:06 Philip

I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
04.08.26 11:05 Kisnoles

Excellent analysis, thank you. I was particularly struck by how rigidly the skill sets the order: data processing and form come first, with color coming last. This really cures the habit of "first a pretty palette, then we'll figure it out." A palette validator using OKLCH + color blindness + WCAG is something most chart generators lack. And regarding the boundaries of competence, it's very clear. Where there's a self-checking loop (color), you delegate freely. Where there's a heuristic (form, data interpretation), you remain the final filter. This is a universal principle, not just for /dataviz. By the way, when you look at trading dashboards (including those of decent platforms like ExpertOption), it's immediately clear who thought about readability and who just threw in rainbow lines. Tools like this skill could greatly improve the quality of analytics. Thanks again for the detailed analysis – saved.
04.08.26 12:37 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
04.08.26 12:37 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
06.08.26 08:11 ROMMYHENDERSON344

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06.08.26 13:56 lydiassmith567

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11.08.26 03:43 raymont0714

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12.08.26 16:37 rssllhrnsb

I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Tatiana Sorina , who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina TEXT : (tatianasorina06 at G_Ma IL dot ..c 0 m)…. Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.
16.08.26 01:44 Matt Kegan

CapitalNode Analytics. They help to investigate and recover stolen digital assets from fake trading platforms. Great firm i must say.
18.08.26 04:59 marcushenderson624

Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone WhatsApp/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
18.08.26 04:59 marcushenderson624

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19.08.26 14:50 BAYER7043

My account was locked, and I couldn’t access my own information until [email protected] +447476618364 whats?up? helped me recover it. This lady hacker was kind and professional, but this experience showed me how risky account lockouts can be. If you’re facing the same problem, do not panic consult her A. S. A. P. Be careful with recovery agents outchea, and research their name, business, and reviews before sharing any details. Never send passwords, security codes, banking information, or copies of your ID unless you’ve confirmed who you’re dealing with. Be wary of promises that sound too good to be true, especially claims that require little information or guarantee instant access with outrageous fees.
20.08.26 11:32 michaeldavenport218

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20.08.26 11:32 michaeldavenport218

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23.08.26 20:02 leslieyee

Excellent analysis by /dataviz! I was particularly struck by how strictly the order is defined: "data meaning first, color last" and how the validator actually adjusts the palette according to OKLCH, color blindness, and WCAG standards. These rules greatly improve the quality of charts. By the way, a similar approach to clean and legible charts is highly valued in trading—for example, on the ExpertOption platform, the interface and price visualization are designed to ensure information is read instantly and without unnecessary noise.
25.08.26 13:44 lydiassmith567

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25.08.26 13:44 lydiassmith567

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30.08.26 15:37 [email protected]

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30.08.26 15:37 [email protected]

Discovering I had been defrauded, I searched online for services claiming to recover stolen ETH. I contacted several companies, but none succeeded. Although some claimed they could trace assets or recover funds, I could not verify their success or recover my money. I later found SYLVESTER BRYANT Recovery through Google. After contacting him, he recovered 450,000,00. He can be reached at [email protected] or WhatsApp at +1 512 577 7957.
01.09.26 11:16 lisawerth897

My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
01.09.26 11:16 lisawerth897

My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
01.09.26 17:34 Garry42

Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.
01.09.26 17:34 Garry42

Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.
02.09.26 03:43 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
02.09.26 03:43 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
04.09.26 21:51 Kovengray

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05.09.26 21:38 [email protected]

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09.09.26 21:31 lisawerth897

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09.09.26 21:31 lisawerth897

My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
09.09.26 23:22 Fraddy Pual

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11.09.26 03:23 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
11.09.26 03:23 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
15.09.26 03:35 elioduncan

I fell victim to a freelance web development contract scam that ultimately cost me CAD 4,000. It all started when I came across a job posting on Indeed Canada, a popular online job portal. The position seemed perfect: a freelance web developer role for an established company looking for someone to design and build a fully functional e-commerce website. The job promised a high payment of CAD 20,000 upon successful completion, which sounded like a great opportunity for me to gain experience and earn decent pay.The employer, who introduced himself as a project manager from a "well-known" tech company, was very persuasive and professional in our initial communication. He explained that the project involved developing a user-friendly, responsive online store for their client and that they had a strict timeline to meet. He assured me that the payment would be made promptly after completing the tasks. However, before starting the work, he told me that I would need to pay an upfront fee of CAD 4,000 to cover certain software tools and licensing fees required for the project. This was supposedly a part of their company policy for freelance contractors, ensuring access to their premium resources. The idea of working on a professional project, coupled with the promise of a substantial payout, convinced me to pay the upfront fee.As soon as I made the payment, the project manager became increasingly difficult to reach. He initially responded to my emails and provided some vague instructions on what the project would entail, but as time went on, communication slowed to a complete halt. I never received the required tools or any proper project details. My emails went unanswered, and any attempts to contact the company were met with silence. After waiting for weeks, I realized that I had been scammed.Desperate to recover my money, I turned to TechY Force Cyber Retrieval, a service that specializes in helping victims of online scams. They helped me track the payment and took legal steps to pursue the fraudsters. Through their guidance, I was able to recover the full CAD 4,000. TechY Force Cyber Retrieval worked with my bank to reverse the transaction and liaised with the authorities to trace the scammer's details.This was a hard lesson, and I now know to be highly cautious about online job offers that require upfront payments. It is crucial to research companies thoroughly and avoid any job that seems too good to be true, especially when it involves paying money upfront. WhatsApp https://wa.link/2x6ktp Mail. [email protected]
15.09.26 15:45 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
15.09.26 15:45 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
05.10.26 21:26 [email protected]

I Invested 45,000 Euro, and later aggreviated to 198,000 Euro. I requested to place Withdrawal of my funds to be paid to my Bank account. But nothing happened I was subjected to pay more fee until I can get my funds on my account, i got in touch with Theodore ryan here on this platform who had helped a lot of people, I followed all instructions and he legally got back my withheld funds, I got threatened by the company that if I don’t pay they will get my account frozen, all thanks to Theodore ryan and I highly recommend him to anyone dealing with an unregulated broker company… contact him on his Gmail - theodoreryan318@ gmail . com
06.10.26 06:13 melissathomason573

Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
06.10.26 06:13 melissathomason573

Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
06.10.26 17:44 Darrell1717

I fell victim of a scam I invested to total of 5thousand into. I know it could be risky but after I trusted this man I was dating online he lured me into investing with him. I know hard I worked of my money so I wanted every way possible to get it back. I really appreciate Blockrecoveryexpert for successfully recovered my funds form this scammer. This is all I can say. You can reachout if you ever need help contact blockrecoveryexpert (at) gmail (dot)com
11.10.26 03:04 Patricia014

Most recovery companies will take your money again. I personally think they’re the same set of people running all of them. It’s a sad, unending cycle, and so many people fall for cloned websites. The only recovery agent I know is Agent Rottgen Raphael. I’ve visited their physical company address, and they’ll tell you if they can handle your case instead of taking upfront payment when they know they can’t help. I highly appreciate their support in recovering my money from the scammers’ wallet within 24 hours. RottgenRaphael@Gmail. com
12.10.26 19:34 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
12.10.26 19:34 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
13.10.26 14:14 lisalisa22

Legitimate Cryptocurrency Recovery Services: Consult ZEUS CRYPTO RECOVERY SERVICES Zeus Crypto Recovery Services supports individuals exploring options after cryptocurrency losses from fraud, unauthorised transfers, or wallet access issues. Services may include blockchain analysis, wallet tracing, and evidence gathering for investigations. Each case is reviewed. Zeus Crypto Recovery Services is a trusted company with the highest success rate among cryptocurrency recovery services in 2025/2026 and is highly recommended if you have been scammed. ZEUS CRYPTO RECOVERY SERVICES handles case such as Scammed USDT Lost BTC, Coinbase Wallet Forgotten password, ETH and coins, etc. Anything that has to do with cryptocurrency or lost digital assets, ZEUS can help you Do you Need Help? Website https://zeusrecoveryservices.com Mailbox [email protected] WhatsApp number +447798816938 Telegram https://t.me/Zeuscryptorecoveryservices
13.10.26 14:14 lisalisa22

Legitimate Cryptocurrency Recovery Services: Consult ZEUS CRYPTO RECOVERY SERVICES Zeus Crypto Recovery Services supports individuals exploring options after cryptocurrency losses from fraud, unauthorised transfers, or wallet access issues. Services may include blockchain analysis, wallet tracing, and evidence gathering for investigations. Each case is reviewed. Zeus Crypto Recovery Services is a trusted company with the highest success rate among cryptocurrency recovery services in 2025/2026 and is highly recommended if you have been scammed. ZEUS CRYPTO RECOVERY SERVICES handles case such as Scammed USDT Lost BTC, Coinbase Wallet Forgotten password, ETH and coins, etc. Anything that has to do with cryptocurrency or lost digital assets, ZEUS can help you Do you Need Help? Website https://zeusrecoveryservices.com Mailbox [email protected] WhatsApp number +447798816938 Telegram https://t.me/Zeuscryptorecoveryservices
17.10.26 12:58 melissathomason573

Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
17.10.26 12:58 melissathomason573

Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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