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@@ -223,6 +223,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://docs.pymc.io/">pymc3</a> - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.</li>
 <li><a href="https://docs.modelx.io/">modelx</a> - Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas.</li>
 <li><a href="https://github.com/man-group/ArcticDB">ArcticDB</a> - High performance datastore for time series and tick data.</li>
+<li><a href="https://github.com/pmxt-dev/pmxt">pmxt</a> - The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.</li>
 </ul>
 </section>
 <section id="financial-instruments-and-pricing" class="level3">
@@ -256,6 +257,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/deltaray-io/kelly-criterion">Kelly-Criterion</a> - Kelly Criterion implemented in Python to size portfolios based on J. L. Kelly Jr’s formula.</li>
 <li><a href="https://github.com/attack68/rateslib">rateslib</a> - A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps.</li>
 <li><a href="https://github.com/jkirkby3/fypy">fypy</a> - Vanilla and exotic option pricing library to support quantitative R&amp;D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.</li>
+<li><a href="https://github.com/joseprupi/quantraserver">quantra</a> High-performance pricing engine built on QuantLib. It exposes QuantLib’s functionality through gRPC and REST APIs, enabling distributed computations with FlatBuffers serialization.</li>
 </ul>
 </section>
 <section id="indicators" class="level3">
@@ -272,6 +274,7 @@ ul.task-list li input[type="checkbox"] {
 <section id="trading-backtesting" class="level3">
 <h3 class="anchored" data-anchor-id="trading-backtesting">Trading &amp; Backtesting</h3>
 <ul>
+<li><a href="https://github.com/alexanderwanyoike/the0">the0</a> - Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution.</li>
 <li><a href="https://github.com/skfolio/skfolio">skfolio</a> - Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.</li>
 <li><a href="https://github.com/coding-kitties/investing-algorithm-framework">Investing algorithm framework</a> - Framework for developing, backtesting, and deploying automated trading algorithms.</li>
 <li><a href="https://github.com/mhallsmoore/qstrader">QSTrader</a> - QSTrader backtesting simulation engine.</li>
@@ -308,6 +311,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/abbass2/pyqstrat">pyqstrat</a> - A fast, extensible, transparent python library for backtesting quantitative strategies.</li>
 <li><a href="https://github.com/edouardpoitras/NowTrade">NowTrade</a> - Python library for backtesting technical/mechanical strategies in the stock and currency markets.</li>
 <li><a href="https://github.com/fja05680/pinkfish">pinkfish</a> - A backtester and spreadsheet library for security analysis.</li>
+<li><a href="https://github.com/dragon1086/prism-insight">PRISM-INSIGHT</a> - AI-powered stock analysis system with 13 specialized agents, automated trading via KIS API, supporting Korean &amp; US markets.</li>
 <li><a href="https://github.com/timkpaine/aat">aat</a> - Async Algorithmic Trading Engine</li>
 <li><a href="https://kernc.github.io/backtesting.py/">Backtesting.py</a> - Backtest trading strategies in Python</li>
 <li><a href="https://github.com/enigmampc/catalyst">catalyst</a> - An Algorithmic Trading Library for Crypto-Assets in Python</li>
@@ -352,6 +356,10 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/jensnesten/rust_bt">rust_bt</a> - A high performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust.</li>
 <li><a href="https://github.com/GuntharDeNiro/gunbot-quant">Gunbot Quant</a> - Toolkit for quantitative trading analysis. It integrates an advanced market screener, a multi-strategy, multi-asset backtesting engine. Use with built-in GUI or through CLI.</li>
 <li><a href="https://github.com/StrateQueue/StrateQueue">StrateQueue</a> - An open‑source, broker‑agnostic Python library that lets you seamlessly deploy strategies from any major backtesting engine to live (or paper) trading with zero code changes and built‑in safety controls.</li>
+<li><a href="https://chartscout.io">Chartscout</a> - Real-time cryptocurrency chart pattern detection with automated alerts across multiple exchanges</li>
+<li><a href="https://daytradingbench.com">DayTradingBench</a> - Live autonomous benchmark that evaluates LLM trading performance on DAX and Nasdaq indices using identical strategies and real-time market data. API access available.</li>
+<li><a href="https://cointester.io">CoinTester</a> - No-code crypto backtesting platform with 100+ indicators, AI sentiment signals, and 5+ years of historical data across 1,000+ trading pairs.</li>
+<li><a href="https://github.com/JustinGuese/python_tradingbot_framework">PythonTradingFramework</a> <img src="https://img.shields.io/github/last-commit/JustinGuese/python_tradingbot_framework/main.png" class="img-fluid" alt="Github last commit (branch)"> - Python algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, PostgreSQL integration, Helm deployment, CronJob scheduling. Minimal overhead, production-ready, Yahoo Finance data.</li>
 </ul>
 </section>
 <section id="risk-analysis" class="level3">
@@ -376,6 +384,8 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/fortitudo-tech/fortitudo.tech">fortitudo.tech</a> - Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.</li>
 <li><a href="https://github.com/husainm97/quant-lab-alpha">Quant Lab Alpha</a> — Portfolio risk decomposition and Monte Carlo simulation toolkit with factor-based modeling.</li>
 <li><a href="https://github.com/omichauhan-lgtm/quantitative-finance-tools">quantitative-finance-tools</a> - Library for portfolio optimization (MVO) and rigorous risk metrics (VaR/CVaR).</li>
+<li><a href="https://github.com/moxiespirit/MyClone/tree/main/volatility_platform">curistat</a> - Futures volatility forecasting platform for ES/NQ. Proprietary CVN rating (1-10), regime detection (CRC composite), 8 directional signals, economic event impact analytics. Includes MCP server for AI agent integration.</li>
+<li><a href="https://otto-ships.github.io/prop-trader-compass/">Prop Trader Compass</a> - Interactive risk and payout calculator for Futures and CFD traders; features one-time fee firm comparisons.</li>
 </ul>
 </section>
 <section id="factor-analysis" class="level3">
@@ -390,6 +400,7 @@ ul.task-list li input[type="checkbox"] {
 <h3 class="anchored" data-anchor-id="sentiment-analysis">Sentiment Analysis</h3>
 <ul>
 <li><a href="https://github.com/KVignesh122/AssetNewsSentimentAnalyzer">Asset News Sentiment Analyzer</a> - Sentiment analysis and report generation package for financial assets and securities utilizing GPT models.</li>
+<li><a href="https://api.adanos.org/docs">Social Stock Sentiment API</a> - REST API analyzing Reddit and X/Twitter for stock mentions and sentiment, providing buzz scores, trending stocks, and AI-generated trend explanations.</li>
 </ul>
 </section>
 <section id="quant-research-environment" class="level3">
@@ -425,6 +436,7 @@ ul.task-list li input[type="checkbox"] {
 <section id="data-sources" class="level3">
 <h3 class="anchored" data-anchor-id="data-sources">Data Sources</h3>
 <ul>
+<li><a href="https://gomacro.ai">goMacro.ai</a> - AI-powered economic calendar with institutional-grade insights, bull/bear/base case scenario planning for NFP, CPI, PPI and other macro data releases.</li>
 <li><a href="https://stockapi.com.cn">StockAPI</a> – Free real-time Chinese stock data (REST &amp; WebSocket).</li>
 <li><a href="https://github.com/ranaroussi/yfinance">yfinance</a> - Yahoo! Finance market data downloader (+faster Pandas Datareader)</li>
 <li><a href="https://github.com/defeat-beta/defeatbeta-api">defeatbeta-api</a> - An open-source alternative to Yahoo Finance’s market data APIs with higher reliability.</li>
@@ -440,6 +452,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/mcdallas/wallstreet">wallstreet</a> - Real time stock and option data.</li>
 <li><a href="https://github.com/ZachLiuGIS/stock_extractor">stock_extractor</a> - General Purpose Stock Extractors from Online Resources.</li>
 <li><a href="https://github.com/cttn/Stockex">Stockex</a> - Python wrapper for Yahoo! Finance API.</li>
+<li><a href="https://stockainsights.com">StockAInsights</a> - AI-extracted financial statements API covering SEC filings including foreign filers (20-F, 6-K, 40-F), normalized quarterly and annual data from 2014+.</li>
 <li><a href="https://github.com/skillachie/finsymbols">finsymbols</a> - Obtains stock symbols and relating information for SP500, AMEX, NYSE, and NASDAQ.</li>
 <li><a href="https://github.com/avelkoski/FRB">FRB</a> - Python Client for FRED® API.</li>
 <li><a href="https://github.com/econdb/inquisitor">inquisitor</a> - Python Interface to Econdb.com API.</li>
@@ -451,8 +464,12 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/lsbardel/ccy">ccy</a> - Python module for currencies.</li>
 <li><a href="https://pypi.org/project/tushare/">tushare</a> - A utility for crawling historical and Real-time Quotes data of China stocks.</li>
 <li><a href="https://pypi.org/project/jsm/">jsm</a> - Get the japanese stock market data.</li>
+<li><a href="https://github.com/ajtgjmdjp/edinet-mcp">edinet-mcp</a> - Parse Japanese XBRL financial statements from EDINET with 161 normalized labels, 26 financial metrics, and multi-company screening.</li>
+<li><a href="https://github.com/ajtgjmdjp/estat-mcp">estat-mcp</a> - Access Japanese government statistics (e-Stat) covering population, GDP, CPI, labor, and trade data with MCP integration and Polars export.</li>
+<li><a href="https://github.com/ajtgjmdjp/tdnet-disclosure-mcp">tdnet-disclosure-mcp</a> - Access Japanese timely disclosures (TDNet) via MCP. Retrieve earnings, dividends, forecasts, buybacks, and other filings for 4,000+ listed companies. No API key required.</li>
 <li><a href="https://github.com/jealous/cn_stock_src">cn_stock_src</a> - Utility for retrieving basic China stock data from different sources.</li>
 <li><a href="https://github.com/barnumbirr/coinmarketcap">coinmarketcap</a> - Python API for coinmarketcap.</li>
+<li><a href="https://github.com/soutone/coinpulse-python">coinpulse</a> - Python SDK for cryptocurrency portfolio tracking with real-time prices, P/L calculations, and price alerts. Free tier available.</li>
 <li><a href="https://github.com/datawrestler/after-hours">after-hours</a> - Obtain pre market and after hours stock prices for a given symbol.</li>
 <li><a href="https://pypi.org/project/bronto-python/">bronto-python</a> - Bronto API Integration for Python.</li>
 <li><a href="https://github.com/rainx/pytdx">pytdx</a> - Python Interface for retrieving chinese stock realtime quote data from TongDaXin Nodes.</li>
@@ -473,6 +490,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/FinanceData/FinanceDataReader">FinanceDataReader</a> - Open Source Financial data reader for U.S, Korean, Japanese, Chinese, Vietnamese Stocks</li>
 <li><a href="https://github.com/TomasKoutek/pystlouisfed">pystlouisfed</a> - Python client for Federal Reserve Bank of St.&nbsp;Louis API - FRED, ALFRED, GeoFRED and FRASER.</li>
 <li><a href="https://github.com/wilsonfreitas/python-bcb">python-bcb</a> - Python interface to Brazilian Central Bank web services.</li>
+<li><a href="https://brapi.dev/">brapi.dev</a> - Brazilian stock market data API for B3/Bovespa quotes, historical OHLCV, dividends, and fundamentals.</li>
 <li><a href="https://github.com/maread99/market_prices">market-prices</a> - Create meaningful OHLCV datasets from knowledge of <a href="https://github.com/gerrymanoim/exchange_calendars">exchange-calendars</a> (works out-the-box with data from Yahoo Finance).</li>
 <li><a href="https://github.com/tardis-dev/tardis-python">tardis-python</a> - Python interface for Tardis.dev high frequency crypto market data</li>
 <li><a href="https://github.com/crypto-lake/lake-api">lake-api</a> - Python interface for Crypto Lake high frequency crypto market data</li>
@@ -483,12 +501,15 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/JerBouma/FinanceDatabase">FinanceDatabase</a> - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.</li>
 <li><a href="https://github.com/tradingstrategy-ai/trading-strategy/">Trading Strategy</a> - download price data for decentralised exchanges and lending protocols (DeFi)</li>
 <li><a href="https://github.com/john-friedman/datamule-python">datamule-python</a> - A package to work with SEC data. Incorporates datamule endpoints.</li>
+<li><a href="https://13finsight.com/">13F Insight</a> - Track institutional investor 13F holdings with AI-powered analysis, position change alerts, and filing summaries.</li>
 <li><a href="https://earningsfeed.com/api">Earnings Feed</a> - Real-time SEC filings, insider trades, and institutional holdings API.</li>
 <li><a href="https://financialdata.net/">Financial Data</a> - Stock Market and Financial Data API.</li>
 <li><a href="https://www.developer.saxo/">SaxoOpenAPI</a> - Saxo Bank financial data API.</li>
 <li><a href="https://github.com/welcra/fsynth">fsynth</a> - Python library for high-fidelity unlimited synthetic financial data generation using Heston Stochastic Volatility and Merton Jump Diffusion.</li>
 <li><a href="https://nikhilxsunder.github.io/fedfred/">fedfred</a> - FRED &amp; GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes.</li>
 <li><a href="https://nikhilxsunder.github.io/edgar-sec/">edgar-sec</a> - EDGAR Financial data API with preprocessed dataclass outputs.</li>
+<li><a href="https://github.com/dgunning/edgartools">edgartools</a> - AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.</li>
+<li><a href="https://fxmacrodata.com/">FXMacroData</a> - Real-time forex macroeconomic API for all major currency pairs sourced from central bank announcements.</li>
 </ul>
 </section>
 <section id="excel-integration" class="level3">
@@ -514,6 +535,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/lit26/finvizfinance">finvizfinance</a> - Finviz analysis python library.</li>
 <li><a href="https://github.com/maread99/market_analy">market-analy</a> - Analysis and interactive charting using <a href="https://github.com/maread99/market_prices">market-prices</a> and bqplot.</li>
 <li><a href="https://github.com/ArturSepp/QuantInvestStrats">QuantInvestStrats</a> - Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.</li>
+<li><a href="https://rallyplot.com">rallyplot</a> - Fast, GPU-accelerated financial plotting library</li>
 </ul>
 </section>
 </section>
@@ -662,7 +684,7 @@ ul.task-list li input[type="checkbox"] {
 <section id="julia" class="level2">
 <h2 class="anchored" data-anchor-id="julia">Julia</h2>
 <ul>
-<li><a href="https://github.com/bhftbootcamp/CcyConv.jl">CcyConv</a> - Currency conversion library for Julia</li>
+<li><a href="https://github.com/bhftbootcamp/CcyConv.jl">CcyConv.jl</a> - Currency conversion library for Julia</li>
 <li><a href="https://github.com/bhftbootcamp/CryptoExchangeAPIs.jl">CryptoExchangeAPIs.jl</a> - A Julia library for cryptocurrency exchange APIs</li>
 <li><a href="https://github.com/rbeeli/Fastback.jl">Fastback.jl</a> - Blazing fast Julia backtester.</li>
 <li><a href="https://github.com/oliviermilla/Lucky.jl">Lucky.jl</a> - Modular, asynchronous trading engine in pure Julia.</li>
@@ -679,7 +701,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/JuliaQuant/MarketTechnicals.jl">MarketTechnicals.jl</a> - Technical analysis of financial time series on top of TimeSeries.</li>
 <li><a href="https://github.com/JuliaQuant/MarketData.jl">MarketData.jl</a> - Time series market data.</li>
 <li><a href="https://github.com/femtotrader/OnlineTechnicalIndicators.jl">OnlineTechnicalIndicators.jl</a> - Julia Technical Analysis Indicators via online algorithms.</li>
-<li><a href="https://github.com/femtotrader/OnlinePortfolioAnalytics.jl">OnlineTechnicalIndicators</a> - A Julia quantitative portfolio analytics (risk / performance) via online algorithms.</li>
+<li><a href="https://github.com/femtotrader/OnlinePortfolioAnalytics.jl">OnlinePortfolioAnalytics.jl</a> - A Julia quantitative portfolio analytics (risk / performance) via online algorithms.</li>
 <li><a href="https://github.com/femtotrader/OnlineResamplers.jl">OnlineResamplers.jl</a> - High-performance Julia package for real-time resampling of financial market data.</li>
 <li><a href="https://github.com/rbeeli/RiskPerf.jl">RiskPerf.jl</a> - Quantitative risk and performance analysis package for financial time series powered by the Julia language.</li>
 <li><a href="https://github.com/femtotrader/TimeFrames.jl">TimeFrames.jl</a> - A Julia library that defines TimeFrame (essentially for resampling TimeSeries).</li>
@@ -710,6 +732,8 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/focus1691/orderflow">orderflow</a> - Orderflow trade aggregator for building Footprint Candles from exchange websocket data.</li>
 <li><a href="https://github.com/ccxt/ccxt">ccxt</a> - A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.</li>
 <li><a href="https://github.com/CompendiumFi/PENDAX-SDK">PENDAX</a> - Javascript SDK for Trading/Data API and Websockets for FTX, FTXUS, OKX, Bybit, &amp; More.</li>
+<li><a href="https://github.com/pmxt-dev/pmxt">pmxt</a> - The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.</li>
+<li><a href="https://github.com/qoery-com/pmxt">pmxt</a> - A unified API for accessing prediction market data across multiple exchanges. CCXT for prediction markets.</li>
 </ul>
 <section id="data-visualization" class="level3">
 <h3 class="anchored" data-anchor-id="data-visualization">Data Visualization</h3>
@@ -763,6 +787,9 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/auto-differentiation/xad">XAD</a> - Automatic Differentation (AAD) Library</li>
 <li><a href="https://github.com/rburkholder/trade-frame">TradeFrame</a> - C++ 17 based framework/library (with sample applications) for testing options based automated trading ideas using DTN IQ real time data feed and Interactive Brokers (TWS API) for trade execution. Comes with built-in <a href="https://github.com/rburkholder/trade-frame/tree/master/lib/TFOptions">Option Greeks/IV</a> calculation library.</li>
 <li><a href="https://github.com/fasiondog/hikyuu">Hikyuu</a> - A base on Python/C++ open source high-performance quant framework for faster analysis and backtesting, contains the complete trading system components for reuse and combination. You can use python or c++ freely.</li>
+<li><a href="https://github.com/PIYUSH-KUMAR1809/order-matching-engine">OrderMatchingEngine</a> - A production-grade, lock-free, high-frequency trading matching engine achieving 150M+ orders/sec.</li>
+<li><a href="https://rallyplot.com">rallyplot</a> - Fast, GPU-accelerated financial plotting library</li>
+<li><a href="https://github.com/pegasusTrader/PandoraTrader">PandoraTrader</a> - A C++ CTP trading framework, with very clear logic</li>
 </ul>
 </section>
 <section id="frameworks-1" class="level2">
@@ -816,6 +843,7 @@ ul.task-list li input[type="checkbox"] {
 <ul>
 <li><a href="https://auto-differentiation.github.io/">Auto-Differentiation Website</a> - Background and resources on Automatic Differentiation (AD) / Adjoint Algorithmic Differentitation (AAD).</li>
 <li><a href="https://github.com/MarcosCarreira/DermanPapers">Derman Papers</a> - Notebooks that replicate original quantitative finance papers from Emanuel Derman.</li>
+<li><a href="https://keeprule.com/">KeepRule</a> - Curated library of decision-making principles and investment wisdom from masters like Buffett and Munger, featuring mental models for better investment thinking.</li>
 <li><a href="https://www.ml-quant.com/">ML-Quant</a> - Top Quant resources like ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and Blogs.</li>
 <li><a href="https://github.com/jasonstrimpel/volatility-trading">volatility-trading</a> - A complete set of volatility estimators based on Euan Sinclair’s Volatility Trading.</li>
 <li><a href="https://github.com/paulperry/quant">quant</a> - Quantitative Finance and Algorithmic Trading exhaust; mostly ipython notebooks based on Quantopian, Zipline, or Pandas.</li>