Stock_Market_Live_Trading_using_AI
Unverified ML strategy on Indices by ashishkumar30. BotFinder score 18 out of 100.
The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificia
Source: github
BotFinder analysis pending.
Stock_Market_Live_Trading_using_AI
Zerodha Trading Strategies and Backtesting About the Project This repository is a collection of Python-based trading strategies and backtesting programs, developed as part of my Computer Science Engineering (CSE) tenure at UIET Kurukshetra University in 2018. The project focuses on automated and manual live trading on the NSE-BSE markets using Zerodha's API. It incorporates Artificial Intelligence techniques to execute trades based on various technical indicators. The repository consists of: - Live trading bots - Backtesting programs - Stock screeners - Technical indicator implementations - Historical data downloaders Features - Live Trading Bots: Automated and manual trading bots utilizing technical strategies. - Backtesting Programs: Test trading strategies on historical data. - Stock Screener: Scans stocks based on Guppy and other technical indicators. - Technical Indicators: Implementation of popular stock market indicators. - Data Conversion: Converts candlestick data to Heikin-Ashi format. - Time Frame Adjustments: Custom time frame modifications for analysis. Files and Noteboo
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)