PKScreener

(★ 384)

A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.

파일 탐색기

최종 버전 다운로드 (.zip)

- - nse-holidays.json
  - ta-lib-0.4.0-msvc.zip
  - ta-lib-0.4.0-src.tar.gz
  - TA-Lib-0.4.28.tar.gz
  - ta-lib-0.6.4-src.tar.gz
  - ta-lib_0.6.4_amd64.deb
  - ta-lib_0.6.4_arm64.deb
  - TA_Lib-0.4.19-cp39-cp39-win_amd64.whl
  - TA_Lib-0.4.20-cp39-cp39-win32.whl
  - TA_Lib-0.4.28-cp311-cp311-win_amd64.whl
  - TA_Lib-0.4.28-cp312-cp312-win_amd64.whl
  - TA_Lib-0.4.29-cp310-cp310-win32.whl
  - TA_Lib-0.4.29-cp310-cp310-win_amd64.whl
  - TA_Lib-0.4.29-cp311-cp311-win32.whl
  - TA_Lib-0.4.29-cp311-cp311-win_amd64.whl
  - TA_Lib-0.4.29-cp312-cp312-win32.whl
  - TA_Lib-0.4.29-cp312-cp312-win_amd64.whl
  - ta_lib-0.6.0-cp312-cp312-win32.whl
  - ta_lib-0.6.0-cp312-cp312-win_amd64.whl
  - ta_lib-0.6.0-cp312-cp312-win_arm64.whl
  - ta_lib-0.6.0-cp313-cp313-win32.whl
  - ta_lib-0.6.0-cp313-cp313-win_amd64.whl
- - bug_report.md
  - feature_request.md
- - deploy-docs.yml
  - fetch-fresh-data.py
  - fetch_ticks_from_bot.py
  - gh-pages-deployment.yml
  - githubutilities.py
  - scan_queue_manager.py
  - squash.py
  - subworkflows.py
  - sync_local_candles.py
  - ticks_to_pickle.py
  - updateVersion.py
  - w-data-publisher.yml
  - w-data-warmup.yml
  - w-local-candle-sync.yml
  - w-scan-worker-pool.yml
  - w-Trial.yml
  - w0-workflow-ci-tests.yml
  - w1-workflow-build-matrix.yml
  - w10-workflow-features-test.yml
  - w10-workflow-generic.yml
  - w11-workflow-test-coverage.yml
  - w11.1-workflow-test-coverage-UbuntuOnly.yml
  - w12-workflow-backtests-trigger.yml
  - w13-workflow-backtest_generic.yml
  - w14-workflow-stale.yml
  - w15-docker-image.yml
  - w15-workflow-pkkite-pickle.yml
  - w16-workflow-hist-scans-trigger.yml
  - W17-ai-pr-reviewer.yml
  - w18-workflow-prod-barometer.yml
  - w18-workflow-sub-data.yml
  - w19-workflow-alert-scanner-job-reset.yaml
  - w2-workflow-python-publish.yml
  - w20-workflow-alert-scanner-jobs-trigger.yaml
  - w3-workflow-bot.yml
  - w4-workflow-prod-scans_1.yml
  - w5-workflow-prod-scans_Tests.yml
  - w6-workflow-prod-scans_AllInOne.yml
  - w7-workflow-prod-scans-trigger.yml
  - w8-workflow-alert-scan_generic.yml
  - w9-workflow-download-data.yml
  - workflowtriggers.py
- FUNDING.yml
- - layout.html
- API_REFERENCE.md
- ARCHITECTURE.md
- conf.py
- DEVELOPER_GUIDE.md
- Disclaimer.txt
- generate_api_docs.py
- HIGH_PERFORMANCE_DATA.md
- index.rst
- install_mdbook.sh
- LICENSE-Others
- migrate_to_mdbook.py
- README.md
- RELEASE_PROCESS.md
- requirements.txt
- run_migration.sh
- SCALABLE_ARCHITECTURE.md
- SCAN_WORKFLOWS.md
- TESTING.md
- IPO1.png
- IPO2.png
- IPO3.png
- MomentumGainer.png
- - __init__.py
  - AdaptiveConsumerManager.py
  - ArtTexts.py
  - AssetsManager.py
  - Backtest.py
  - BacktestHandler.py
  - BacktestUtils.py
  - Barometer.py
  - CandlePatterns.py
  - Changelog.py
  - ConfigManager.py
  - ConsoleMenuUtility.py
  - ConsoleUtility.py
  - CoreFunctions.py
  - DataLoader.py
  - ExecuteOptionHandlers.py
  - Fetcher.py
  - GlobalStore.py
  - ImageUtility.py
  - keys.py
  - MainLogic.py
  - MarketMonitor.py
  - MarketStatus.py
  - MenuManager.py
  - MenuNavigation.py
  - MenuOptions.py
  - NotificationService.py
  - OtaUpdater.py
  - OutputFunctions.py
  - PKAnalytics.py
  - PKDataService.py
  - PKDemoHandler.py
  - PKMarketOpenCloseAnalyser.py
  - PKPremiumHandler.py
  - PKScanRunner.py
  - PKScheduledTaskProgress.py
  - PKScheduler.py
  - PKScreenerMain.py
  - PKSpreadsheets.py
  - Pktalib.py
  - PKTask.py
  - PKUserRegistration.py
  - Portfolio.py
  - PortfolioXRay.py
  - ResultsLabeler.py
  - ResultsManager.py
  - ScreeningStatistics.py
  - StockScreener.py
  - tableSorting.js
  - TelegramNotifier.py
  - UserMenuChoicesHandler.py
  - Utility.py
  - WorkflowManager.py
- - best_model_0.7438acc.h5
  - nifty_model.h5
  - nifty_model.pkl
  - nifty_model_v2.h5
  - nifty_model_v2.pkl
  - nifty_model_v3.h5
  - nifty_model_v3.pkl
- __init__.py
- courbd.ttf
- globals.py
- MainApplication.py
- pkscreener.ini
- pkscreenerbot.py
- pkscreenercli.py
- release.md
- requirements.txt
- watchlist_template.xlsx
- - debug_config.ini
  - defaults.json
- - EQUITY_L.csv
  - ind_nifty100list.csv
  - ind_nifty200list.csv
  - ind_nifty500list.csv
  - ind_nifty50list.csv
  - ind_niftymidcap100list.csv
  - ind_niftymidcap150list.csv
  - ind_niftymidcap50list.csv
  - ind_niftynext50list.csv
  - ind_niftysmallcap100list.csv
  - ind_niftysmallcap250list.csv
  - ind_niftysmallcap50list.csv
  - NSE_FO_SosScheme.csv
- - author.jpeg
  - Logo1.png
  - Logo10.png
  - Logo11.png
  - Logo12.png
  - Logo13.png
  - Logo14.png
  - Logo15.png
  - Logo16.png
  - Logo17.png
  - Logo18.png
  - Logo19.png
  - Logo2.png
  - Logo20.png
  - Logo21.png
  - Logo22.png
  - Logo23.png
  - Logo24.png
  - Logo25.png
  - Logo26.png
  - Logo27.png
  - Logo28.png
  - Logo29.png
  - Logo3.png
  - Logo30.png
  - Logo31.png
  - Logo32.png
  - Logo33.png
  - Logo34.png
  - Logo35.png
  - Logo36.png
  - Logo37.png
  - Logo38.png
  - Logo39.png
  - Logo4.png
  - Logo40.png
  - Logo41.png
  - Logo42.png
  - Logo43.png
  - Logo44.png
  - Logo45.png
  - Logo46.png
  - Logo47.png
  - Logo48.png
  - Logo49.png
  - Logo5.png
  - Logo50.png
  - Logo51.png
  - Logo52.png
  - Logo6.png
  - Logo7.png
  - Logo8.png
  - Logo8_1.png
  - Logo9.png
  - LogoWM.png
- alerts.png
- backtest.png
- bot.gif
- config.png
- G10k.png
- G10k_Sum.png
- home.png
- icon.ico
- logo.png
- menu.png
- menu_level2.png
- menu_level3.png
- NSE_Logo.svg
- PKScreeners_Group.jpg
- result_analysis.png
- results.png
- screening.png
- telegram.png
- Telegram_Channel_Prod.jpg
- title.png
- auto_docstring_with_ai.py
- cli_options.py
- setup_docstring_generator.sh
- additional_coverage_test.py
- archiver_test.py
- asserters.py
- AssetsManager_comprehensive_test.py
- AssetsManager_test.py
- backtest_test.py
- BacktestHandler_comprehensive_test.py
- BacktestHandler_feature_test.py
- BacktestHandler_test.py
- BacktestUtils_test.py
- Barometer_test.py
- bot_menu_integration_test.py
- BotHandlers_comprehensive_test.py
- BotHandlers_feature_test.py
- CandlePatterns_test.py
- code_path_coverage_test.py
- comprehensive_coverage_test.py
- comprehensive_integration_test.py
- comprehensive_module_test.py
- ConfigManager_comprehensive_test.py
- Configmanager_test.py
- console_menu_integration_test.py
- ConsoleMenuUtility_coverage_test.py
- ConsoleMenuUtility_test.py
- ConsoleUtility_test.py
- CoreFunctions_test.py
- coverage_boost_test.py
- coverage_enhancement_test.py
- DataLoader_comprehensive_test.py
- DataLoader_test.py
- DateSorted.html
- deep_coverage_test.py
- deep_screening_test.py
- end_to_end_flow_test.py
- ExecuteOptionHandlers_test.py
- feature_workflows_test.py
- Fetcher_comprehensive_test.py
- Fetcher_coverage_test.py
- Fetcher_test.py
- final_push_coverage_test.py
- Fixture.json
- globals_test.py
- GlobalStore_comprehensive_test.py
- GlobalStore_coverage_test.py
- GlobalStore_test.py
- high_impact_coverage_test.py
- ImageUtility_test.py
- integration_mainlogic_test.py
- integration_menunavigation_test.py
- integration_notification_test.py
- integration_stockscreener_test.py
- intensive_code_coverage_test.py
- intensive_coverage_test.py
- interactive_flow_test.py
- keys_coverage_test.py
- logger_test.py
- low_coverage_modules_test.py
- MainLogic_comprehensive_test.py
- MarketMonitor_test.py
- MarketStatus_coverage_test.py
- MarketStatus_test.py
- mega_coverage_test.py
- menu_manager_comprehensive_test.py
- menu_stockscreener_handlers_test.py
- MenuManager_comprehensive_test.py
- MenuNavigation_comprehensive_test.py
- MenuOptions_coverage_test.py
- Menuoptions_test.py
- method_specific_test.py
- module_internals_test.py
- NotificationService_test.py
- OTAUpdater_test.py
- OutputFunctions_test.py
- PKAnalytics_coverage_test.py
- PKCliRunner_test.py
- PKDataService_coverage_test.py
- PKDemoHandler_test.py
- PKMarketOpenCloseAnalyser_test.py
- PKMultiProcessorClient_test.py
- PKPremiumHandler_test.py
- PKScanRunner_comprehensive_test.py
- PKScheduledTaskProgress_test.py
- PKScheduler_coverage_test.py
- PKScheduler_test.py
- pkscreenerbot_test.py
- pkscreenercli_comprehensive_test.py
- pkscreenercli_test.py
- pkscreenerFunctional_X_12_test.py
- pkscreenerFunctional_X_1_test.py
- pkscreenerFunctional_X_8_test.py
- PKScreenerMain_comprehensive_test.py
- PKTaLib_test.py
- PKTask_coverage_test.py
- PKUserRegistration_test.py
- PortfolioXRay_test.py
- pytest.ini
- refactored_modules_test.py
- RequestsMocker.py
- ResultsLabeler_test.py
- ResultsManager_comprehensive_test.py
- ResultsManager_feature_test.py
- ResultsManager_test.py
- screening_additional_test.py
- screening_methods_deep_test.py
- screening_statistics_comprehensive_test.py
- screening_statistics_deep_test.py
- ScreeningStatistics_test.py
- sharedmock.py
- signals_coverage_test.py
- signals_test.py
- StockScreener_comprehensive_test.py
- StockScreener_test.py
- StockSorted.html
- targeted_coverage_test.py
- Telegram_test.py
- TelegramNotifier_comprehensive_test.py
- TelegramNotifier_feature_test.py
- TelegramNotifier_test.py
- test_data_fallback_e2e.py
- test_data_flow_e2e.py
- tick_data_freshness_test.py
- ultra_coverage_test.py
- UserMenuChoicesHandler_coverage_test.py
- Utility_comprehensive_test.py
- Utility_coverage_test.py
- Utility_test.py
- workflowManager_test.py
- yahoo_response.txt
.bandit
.coveragerc
.gitignore
CODE_OF_CONDUCT.md
CONTRIBUTING.md
cve-fixes.txt
Disclaimer.txt
Dockerfile
Dockerfile_base
INSTALLATION.md
LICENSE
PKScreener-Contributors.txt
pkscreener.ini
README.md
readthedocs.yaml
requirements-dev.txt
requirements.txt
ruff.toml
setup.cfg
setup.py
tos.txt

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/pkjmesra/PKScreener

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd PKScreener

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Docker

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.

docker pull pkjmesra/pkscreener:latest

이 명령어를 터미널에 그대로 입력해 실행하세요.

docker run -it pkjmesra/pkscreener:latest

빌드된 이미지를 실제 컨테이너로 실행합니다.

✅ 터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

3. Python

쉬움

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install -r pkscreener/requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

파이썬 스크립트(또는 모듈)를 실행합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

PKScreener

파일 탐색기

# 설치 가이드

2. Docker

3. Python

오늘의 추천 프로젝트

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PKScreener

파일 탐색기

# 설치 가이드

2. Docker

3. Python

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

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