为什么值得关注

它通过将紧凑的开源基础模型与本地LLM配对，使先进的量化预测变得平民化，让印度散户投资者无需深厚的金融知识就能获得可理解的市场分析。

适合谁使用

刚接触技术分析的印度散户投资者
寻求轻量级、本地化AI工具的量化金融爱好者
构建用户友好的市场咨询应用的开发者
对AI辅助波段交易和避险感兴趣的印度交易者

典型使用场景

用通俗语言解读NIFTY 50趋势
为高流动性印度蓝筹股识别入场和止盈目标
监测黄金ETF和美元/印度卢比汇率以辅助避险决策
生成盘前量化筛选报告，验证交易假设

项目优势

开源且完全本地运行（保护隐私，无API费用），基础模型仅约400MB，LLM基于Ollama
将复杂的量化指标转化为直观比喻，对初学者友好
包含自动回测脚本（proof_test.py），可验证方向准确率
生成美观、交互式HTML报告，支持深色玻璃拟态和导出功能

使用前须知

需要手动设置Ollama并拉取llama3.2:3b模型，对非技术用户有一定门槛
Kronos-base模型（1.023亿参数）的预测精度可能低于更大的云端预测模型
目前仅专注于印度市场（NSE、BSE、美元/印度卢比、黄金ETF），地理适用性有限

README 快速开始

📺 Watch the full tutorial on YouTube

🇮🇳 Kronos Indian Market Advisor

An advanced, AI-driven quantitative prediction and interpretation system designed specifically for Indian financial investors and beginners. Powered by Kronos-base (the ~400MB open-source candlestick foundation model trained on global exchanges) and localized by Llama 3.2 3B via Ollama, this project translates complex K-line sequences into jargon-free, high-value financial insights for equities like NIFTY 50, Reliance Industries, HDFC Bank, Gold ETFs, and USD/INR exchange rates.

🚀 Key Highlights

Kronos Foundation Model: Utilizes the 102.3M parameter (~400MB) base model with hierarchical K-line tokenization to predict future OHLCV candlestick paths.
Beginner-Friendly Interpretation: Local Ollama AI analyzes quantitative forecasting metrics and translates them into intuitive analogies tailored to Indian market participants.
Empirical Proof Testing: Includes an automated quantitative validation script to measure directional accuracy and support/resistance resilience against historical NSE data.
Responsive HTML Visualizers: Generates aesthetic, interactive reporting templates featuring dark-mode glassmorphism and instant markdown export capabilities.

🛠️ Tech Stack

Quantitative Forecaster: NeoQuasar/Kronos-base (Hugging Face Transformers & PyTorch)
Local Explainer AI: llama3.2:3b (via Ollama, thinking disabled for rapid inference)
Market Data Provider: yfinance (Live NSE Indian market indices, corporate stocks, and commodities)
Visual Templating: Jinja2 with custom responsive CSS styling
Data & Math Engine: pandas, numpy, matplotlib, torch

📦 Installation & Setup

All commands below can be executed directly in your Windows Antigravity PowerShell terminal by copy-pasting.

1. Clone & Install Dependencies

First, clone the official Kronos foundation model repository into kronos_lib and install standard Python dependencies:

git clone https://github.com/shiyu-coder/Kronos.git kronos_lib
pip install --upgrade transformers huggingface_hub safetensors pandas einops matplotlib tqdm yfinance jinja2 requests torch

2. Download Local Ollama Model

Ensure Ollama is running, and pull the required 3B instruction model:

ollama run llama3.2:3b
``

项目描述

Kronos AI: Tiny Model That Beats Expensive Trading Bots - Open-source foundation model for financial candlesticks with Ollama Llama 3.2 Indian market analysis.

RayCodes_Kronos