Quant Can Now See and Control Your Charts
Quant now works with the chart itself. Configure symbols, timeframes, layouts, and more, then let Quant inspect the result and refine it when needed.
Read More
Product Updates
View all
All posts
How to Run Pine Script® Outside of TradingView (2026 Guide)
Pine Script® is a language; TradingView is one place it runs. Four ways to execute your indicators and strategies elsewhere: run the original code with PineTS, draw it on your own charts with Vela™, move to LuxAlgo, o…
AI & TechnologyBacktests Now Show Alternative Outcomes
A normal backtest shows one historical path. Simulation explores alternative paths from the same closed trades so you can examine repeatability, sequencing risk, and drawdown exposure.
Product UpdatesQuant Can Now See and Control Your Charts
Quant now works with the chart itself. Configure symbols, timeframes, layouts, and more, then let Quant inspect the result and refine it when needed.
Product UpdatesIntroducing Vela: The Open-Source Charting Engine
Vela is a complete charting engine, open sourced under Apache 2.0: a native WebGL2 renderer, 70+ built-in indicators, a full drawing suite, Pine Script support, and a plugin SDK. Fork it, embed it, build your platform…
Product UpdatesLuxAlgo Is Now a Charting Platform
Quant Charts are live: an engine built in-house, the full orderflow suite on every plan, licensed CME futures data included, the entire LuxAlgo Library built in, and Quant powering all of it.
Product UpdatesIntroducing Prop Firm Sim: Know Your Odds Before You Pay the Fee
Prop Firm Sim is a free, open-source Monte Carlo engine that simulates your odds of passing any prop firm challenge: pass rate, expected cost, and EV from your real trades. In your browser, your terminal, or your AI a…
Product UpdatesLuxAlgo Library: Trading Concepts Expansion + MCP Server
The LuxAlgo Library now hosts 861 technical analysis concepts with near-100% indicator coverage, strategy-ready code, and an MCP server for Claude, Cursor & ChatGPT
Product UpdatesWhen Trading Psychology Isn't the Problem
When you follow the rules and still lose, the cause is often no edge, high costs, poor execution, or a mismatched market—not just mindset.
Strategies & TipsEdge Decay: Reoptimize or throw out your strategy.
Use rolling expectancy, drawdown, win rate, costs, and regime checks to decide whether to reoptimize, pause, or retire a trading strategy.
Strategies & TipsComparing Trading Strategies Against Fair Benchmarks
Compare trading strategies with fair benchmarks by matching exposure, volatility, costs, and market regimes, then test whether the edge survives.
Strategies & TipsPortfolio Correlation Isn't Enough
Low correlation can mask shared drivers; assess volatility, beta, drawdown, factor exposure, VaR and stress tests.
Strategies & TipsTesting Directional Dependence in Trading Strategies
Test whether a trading strategy depends on market drift using directional benchmarks, regime checks, and detrended data.
Algo TradingStress-Test Your Algorithmic Trading Strategy: Guide to Avoiding Overfitting
Stress-test trading strategies with walk-forward analysis, parameter sensitivity, and trade-sequence simulations, then compare live results.
Algo TradingLuxAlgo Quant: Native Strategy Backtesting Is Here
Until now, LuxAlgo Quant made it easy to describe a trading concept, generate a script, run it on a chart, and refine the code. But once a trader wanted to go deeper and understand how that logic performed historicall…
Product UpdatesLuxAlgo Acquires PineTS to Bring Pine Script® Everywhere
Announcing the acquisition of PineTS, welcoming its creator Alaa-eddine to the team, and reaffirming our commitment to building the ultimate open-source and proprietary quantitative trading ecosystem.
Product UpdatesLuxAlgo Quant Update: Integrated Charts Are Here
The biggest challenge with creating Pine Script® using AI has never been getting code on the screen. It has been knowing whether that code actually works on a real chart without constantly switching between tools, tab…
Product UpdatesHow to Optimize Trading Strategies with AI
Optimize trading strategies with Quant Charts and AI: test clear rules, compare costs and risk, and validate changes on unseen data.
Algo TradingCommon Mistakes Traders Make When Using Indicators
Avoid five common indicator mistakes. Test redundancy, check timeframe settings, and compare trading rules with realistic costs in Quant Charts.
Technical AnalysisLeading vs Lagging Indicators: What Traders Need to Know
Compare leading and lagging indicators, understand their limits, and test combinations with realistic costs on Quant Charts.
Technical AnalysisMultiple Indicators Without Overcomplicating Your Chart
Build a clearer chart with purposeful indicators, organized panes, and saved workspaces. Test each added filter against a consistent baseline.
Technical AnalysisHow to Go From Beginner to Algorithmic Trader
Learn algorithmic trading with Python or Quant: build clear rules, backtest with realistic costs, and verify execution before using real capital.
Algo TradingBest AI Tools for Trading Strategy Development
Compare LuxAlgo, Trade Ideas, and MetaTrader 5 for AI strategy development, native charts, stock scanning, backtesting, and execution workflows.
AI & TechnologyWhat Is Algorithmic Trading? A Complete Guide
Understand algorithmic trading, common strategies, native chart backtesting, execution workflows, and the risk controls needed to test your ideas.
Algo TradingIn-Sample Testing vs. Out-of-Sample Testing
Separate strategy development from evaluation. Learn data-split limits, avoid holdout reuse, and compare saved backtest runs on LuxAlgo charts.
Algo TradingHow to Backtest Trading Strategies Using AI
Learn to backtest trading strategies with AI, set realistic costs, review native chart results, and compare changes against a saved baseline.
Algo TradingHow to Build Trading Strategies Without Coding
Build trading strategies with Quant, native charts, and configurable toolkits. Learn to define rules, test a baseline, and monitor supported workflows.
Algo TradingFrom Chart to Code: Turning Analysis Into Strategies
Turn chart observations into Pine Script® with Quant. Define rules, review native backtests, and distinguish toolkit scripting from execution.
Algo TradingTurning Trading Concepts Into Automated Strategies
Turn trading concepts into tested strategies with Quant and native charts, then plan execution, risk controls, and monitoring as separate steps.
Algo TradingHow to Validate Trading Strategies Using Data
Validate trading strategies with quality data, native backtests, independent testing, and reproducible settings. Learn what each method can establish.
Algo TradingHow to Write Pine Script for Trading Indicators
Learn Pine Script® with SMA and MACD examples. Build indicators with LuxAlgo Quant, test on native charts, and retest in TradingView’s Pine Editor.
Algo Trading