Initialize

.gitattributes copy

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

Dockerfile

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+FROM python:3.9
+
+RUN apt-get update && apt-get install -y \
+    libgl1-mesa-glx \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --upgrade pip
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+RUN chown -R 1000:1000 /code
+
+USER 1000
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

README copy.md

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+---
+title: Data Api
+emoji: ⚡
+colorFrom: red
+colorTo: blue
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

main.py

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+from fastapi import FastAPI
+from starlette.middleware.cors import CORSMiddleware
+from routes.data import router as DataRouter
+
+app = FastAPI(title="Stock data API", docs_url="/docs", version="0.1.0")
+
+
+app.include_router(DataRouter, tags=["Data"], prefix="/data")
+
+
+@app.get("/", tags=["Root"])
+async def read_root():
+    return {"message": "Stock Data API v1"}
+
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["POST", "PUT", "DELETE", "OPTION", "GET"],
+    allow_headers=["*"],
+)

models/ichimoku.py

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+from pydantic import BaseModel, root_validator
+
+
+class IchimokuPayload(BaseModel):
+    symbol: str
+    count_back: int = 365
+    type: str = "stock"
+
+    @root_validator
+    def validate_dates(cls, values):
+        if values['type'] not in ["index", "stock"]:
+            raise ValueError('type should be index or stock')
+        return values

models/price.py

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+from pydantic import BaseModel, root_validator
+
+
+class PricePayload(BaseModel):
+    symbol: str
+    count_back: int = 365
+    type: str = "stock"
+
+    @root_validator
+    def validate_dates(cls, values):
+        if values['type'] not in ["index", "stock"]:
+            raise ValueError('type should be index or stock')
+        return values

models/rsi.py

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+from pydantic import BaseModel
+
+
+class RSIPayload(BaseModel):
+    symbol: str
+    range_selector: str = "1y"
+    periods: int = 14
+    smooth_k: int = 3
+    smooth_d: int = 3

requirements.txt

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+fastapi
+uvicorn
+pydantic
+requests
+pandas
+numpy
+pymongo
+vnstock

routes/data.py

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+from services.indicator import Indicator
+from models.ichimoku import IchimokuPayload
+from models.rsi import RSIPayload
+from models.price import PricePayload
+from fastapi import status, APIRouter
+from typing import Sequence
+import json
+
+router = APIRouter()
+
+
+@router.post(
+    "/get_price",
+    name="Get price",
+    status_code=status.HTTP_200_OK
+)
+async def get_price_data(payload: PricePayload) -> Sequence[dict]:
+    price_df = Indicator.get_price(payload.symbol,
+                                   payload.count_back,
+                                   payload.type)
+    return json.loads(price_df.to_json(orient="records"))
+
+
+@router.post(
+    "/get_rsi",
+    name="Get data of RSI",
+    status_code=status.HTTP_200_OK
+)
+async def get_rsi_data(payload: RSIPayload) -> Sequence[dict]:
+    rsi_df = Indicator.get_rsi(
+        payload.symbol,
+        payload.range_selector,
+        payload.periods,
+        payload.smooth_k,
+        payload.smooth_d
+    )
+    return json.loads(rsi_df.to_json(orient="records"))
+
+
+@router.post(
+    "/get_ichimoku",
+    name="Get data of Ichimoku cloud",
+    status_code=status.HTTP_200_OK
+)
+async def get_ichimoku_data(payload: IchimokuPayload) -> Sequence[dict]:
+    price_df = Indicator.get_price(payload.symbol,
+                                   payload.count_back,
+                                   payload.type)
+    ichimoku_df = Indicator.get_ichimoku_cloud(price_df)
+    return json.loads(ichimoku_df.to_json(orient="records"))

services/indicator.py

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+import requests
+import json
+from datetime import datetime, timedelta
+import pandas as pd
+import numpy as np
+from vnstock import longterm_ohlc_data
+from .utils import Utility
+
+PREFIX = "https://www.hsx.vn/Modules/Chart/StaticChart/"
+TIME = {"1m": 2, "3m": 3, "6m": 4, "1y": 5, "2y": 6, "5y": 7}
+INDICATORS = {
+    "EMA": "GetEmaChart",
+    "MACD": "GetMacdChart",
+    "RSI": "GetRsiChart",
+    "Momentum": "GetMomentumChart",
+    "Williams %R": "GetWilliamChart",
+    "BollingerBand": "GetBollingerBandChart",
+}
+
+
+class Indicator:
+    def __init__(self) -> None:
+        pass
+
+    @staticmethod
+    def get_price(symbol: str,
+                  count_back: int = 365,
+                  type: str = "stock",) -> pd.DataFrame:
+        resolution = "D"
+        end_date = datetime.now()
+        delta = timedelta(days=count_back)
+        start_date = end_date - delta
+        start_date = datetime.strftime(start_date, '%Y-%m-%d')
+        end_date = datetime.strftime(end_date, '%Y-%m-%d')
+        return longterm_ohlc_data(symbol, start_date, end_date,
+                                  resolution, type).reset_index()
+
+    @staticmethod
+    def get_rsi(
+        symbol: str,
+        range_selector: str = "1y",
+        periods: int = 14,
+        smooth_k: int = 3,
+        smooth_d: int = 3,
+    ) -> pd.DataFrame:
+        range_selector = TIME[range_selector]
+        params = {
+            "stockSymbol": symbol,
+            "rangeSelector": range_selector,
+            "period": periods,
+        }
+        lst_param = []
+        for key, value in params.items():
+            lst_param.append(f"{key}={value}")
+        url = PREFIX + INDICATORS["RSI"] + "?" + "&".join(lst_param)
+        response = requests.get(url)
+        data = json.loads(response.text)
+        rsi_df = pd.DataFrame(data["SeriesColection"][0]["Points"])
+        rsi_df["time"] = \
+            rsi_df["Time"].apply(lambda x: Utility.ts_to_date(x/1000))
+        rsi_df["rsi"] = rsi_df["Value"].apply(lambda x: x[0])
+        rsi_df = rsi_df[["date", "rsi"]]
+        rsi_df["stoch_rsi"] = Indicator.stoch_rsi(rsi_df["rsi"], periods)
+        rsi_df["stoch_rsi_smooth_k"] = \
+            Indicator.stoch_rsi_smooth_k(rsi_df["stoch_rsi"], smooth_k)
+        rsi_df["stoch_rsi_smooth_d"] = Indicator.stoch_rsi_smooth_d(
+            rsi_df["stoch_rsi_smooth_k"], smooth_d
+        )
+        return rsi_df
+
+    @staticmethod
+    def stoch_rsi(rsi: pd.Series, periods: int = 14) -> pd.Series:
+        ma, mi = (
+            rsi.rolling(window=periods).max(),
+            rsi.rolling(window=periods).min(),
+        )
+        return (rsi - mi) * 100 / (ma - mi)
+
+    @staticmethod
+    def stoch_rsi_smooth_k(stoch_rsi: pd.Series, k: int) -> pd.Series:
+        return stoch_rsi.rolling(window=k).mean()
+
+    @staticmethod
+    def stoch_rsi_smooth_d(stoch_rsi_k: pd.Series, d: int) -> pd.Series:
+        return stoch_rsi_k.rolling(window=d).mean()
+
+    @staticmethod
+    def get_ichimoku_cloud(
+        df: pd.DataFrame,
+        conversion_period=9,
+        base_period=26,
+        span_b_period=52,
+        displacement=26,
+    ) -> pd.DataFrame:
+        space_displacement = np.full(displacement, np.nan)
+        tenkan_sen = (
+            df["high"].rolling(window=conversion_period).max()
+            + df["low"].rolling(window=conversion_period).min()
+        ) / 2
+        kijun_sen = (
+            df["high"].rolling(window=base_period).max()
+            + df["low"].rolling(window=base_period).min()
+        ) / 2
+        senkou_span_a = (tenkan_sen + kijun_sen) / 2
+        senkou_span_b = (
+            df["high"].rolling(window=span_b_period).max()
+            + df["low"].rolling(window=span_b_period).min()
+        ) / 2
+        chikou_span = df["close"].shift(-displacement)
+
+        date_displacement = np.array(
+            list(map(str, np.arange(1, displacement+1))))
+        time = np.concatenate((df["time"], date_displacement))
+        tenkan_sen = np.concatenate((tenkan_sen, space_displacement))
+        kijun_sen = np.concatenate((kijun_sen, space_displacement))
+        senkou_span_a = np.concatenate((space_displacement, senkou_span_a))
+        senkou_span_b = np.concatenate((space_displacement, senkou_span_b))
+        chikou_span = np.concatenate((chikou_span, space_displacement))
+
+        data_dict = {
+            "time": time,
+            "tenkan_sen": tenkan_sen,
+            "kijun_sen": kijun_sen,
+            "senkou_span_a": senkou_span_a,
+            "senkou_span_b": senkou_span_b,
+            "chikou_span": chikou_span,
+            "tenkan_kijun": tenkan_sen - kijun_sen,
+            "kumo_cloud": senkou_span_a - senkou_span_b,
+            "signal": senkou_span_a > senkou_span_b,
+        }
+        return pd.DataFrame(data_dict)

services/utils.py

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+from datetime import datetime
+from utils.config import DATE_FORMAT
+
+
+class Utility:
+    def __init__(self) -> None: pass
+
+    @staticmethod
+    def ts_to_date(ts, format=DATE_FORMAT) -> str:
+        return datetime.fromtimestamp(ts).strftime(format)
+
+    @staticmethod
+    def date_to_ts(date, format=DATE_FORMAT) -> int:
+        return int(datetime.timestamp(datetime.strptime(date, format)))

utils/backup.py

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+from pymongo.mongo_client import MongoClient
+from pymongo.server_api import ServerApi
+uri = "mongodb+srv://dacap3h:vMRoeFxX7Jjn2O5m@backup-data.m6pxu2j.mongodb.net/"
+# Create a new client and connect to the server
+client = MongoClient(uri, server_api=ServerApi('1'))
+# Send a ping to confirm a successful connection
+try:
+    client.admin.command('ping')
+    print("Pinged your deployment. You successfully connected to MongoDB!")
+except Exception as e:
+    print(e)

utils/config.py

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+DATE_FORMAT = "%Y-%m-%d"
+tcbs_headers = {
+  'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
+  'DNT': '1',
+  'Accept-language': 'vi',
+  'sec-ch-ua-mobile': '?0',
+  'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
+  'Content-Type': 'application/json',
+  'Accept': 'application/json',
+  'Referer': 'https://tcinvest.tcbs.com.vn/',
+  'sec-ch-ua-platform': '"Windows"'
+}