Do I need to know how to code to use Agenticks?

No. AlgoAgent accepts prompts and converts them directly into backtestable strategies. AlgoAgent does the same for TradingView indicators. No coding, no Pine Script, no programming background required.

AlgoAgent is the product. You describe a trading idea and it turns that into explicit entry, exit, sizing and risk rules, writes the strategy as sandboxed Python, runs it over the included market history, and hands back every trade so you can judge the idea yourself.

How long can I run a backtest?

As far back as the instrument's own history goes. US stocks and ETFs run from as early as 2000-01-01 through 2026-03-31 and supported futures from 2016, at 1m, 5m, 15m, 30m, 1h and 1d. There is no five-year cap. Results include an equity curve, a full trade log, drawdown analysis, regime breakdown, Monte Carlo resampled from the real trades, and a prop firm pass estimate.

What is the AlgoAgent live automation lane?

On the Agent plan an approved strategy places its own orders through the brokerage you connected with SnapTrade (Interactive Brokers, Alpaca, Wealthsimple, Webull, Moomoo, Coinbase, Kraken, Binance and more). It runs on Agenticks servers, not in your browser, so it keeps running when your computer is off. You approve the strategy, pick the account, set sizing and risk limits, and arm it explicitly. Editing it creates a new version that needs a new approval. Several supported brokers are read-only. Paper-test first.

Stock Research and Market Awareness

Stock screener workflows, market movers, sector strength, and daily research routines for traders who want structure, not noise.

Guides in this category

How to Use a Stock Screener Like a Serious Trader: Stock screening as structured research: how to move from symbol shortlists to quality-graded setups without chasing headlines or guessing at fundamentals.
Market Movers Explained: What Top Gainers and Losers Actually Tell You: How to interpret daily market movers beyond the surface, including what volume, catalyst quality, and sector context reveal about real participation.
Why Sector Strength Matters for Retail Traders: How tracking which sectors lead and lag helps traders identify where institutional activity is concentrated and where setups have structural tailwinds.
How to Build a Daily Market Awareness Routine: A structured framework for reviewing market conditions before each trading session, including what to check and in what order.
What Traders Should Check Before the Market Opens: A practical pre-market checklist covering futures, sector indicators, economic events, and overnight news that may affect the opening session.
Stock Research Tools: What Retail Traders Actually Need: A clear breakdown of which research tools provide genuine signal versus which create noise, and what a practical retail trader's toolkit looks like.
How to Track Volatility, Volume, and Trend in One Workflow: A structured approach to monitoring three key market condition dimensions simultaneously using Agenticks's terminal and screener tools.
The Difference Between Stock Picking and Structured Market Research: Why structured research workflows produce more consistent results than intuitive stock picking, and what separates the two approaches.
How Sector Rotation Impacts Trading Setups: How capital moves between sectors during different market phases and how traders can use sector rotation awareness to improve setup quality.
Building a Watchlist With Data Instead of Hype: How to build a research-driven watchlist using screening criteria, sector context, and quality filters rather than social media recommendations.
Stock Screener vs Stock Scanner: What Is the Difference: A screener filters by fundamentals and setup criteria, a scanner surfaces real-time movement. How traders use each and where a structured screening workflow fits.
How to Research a Stock Before You Buy It: A repeatable research routine beats reacting to headlines. The checks traders run on fundamentals, structure, and context before committing to a position.
How to Analyze Any Stock With AI (Without Getting Fooled): AI can read a company's filings, news, and numbers in seconds and hand you a plain summary. Here's how to use that for real stock research without treating the summary as a crystal ball.
How to Find a Company's Earnings Report: Finding a company's earnings report is easier than it looks. Here is where the latest and upcoming numbers live, which lines actually matter, and how to read revenue, EPS, and guidance without a finance degree.
How to Screen for Stocks Like a Serious Trader: Screening means filtering thousands of stocks down to a short list that fits your strategy. Here's how to choose criteria that actually matter, skip the common traps, and end up with names worth researching.
How to Compare Two Stocks Head to Head: Comparing two stocks means putting them side by side on the same measures so you can see which one fits your goals. Here's a simple way to line them up on grade, fundamentals, and risk instead of guessing.
How to See All Your Holdings Across Brokers in One Place: If your money sits across two or three brokerage apps, you can connect them read only to one dashboard and see your total balance, your biggest position, and how you're split by sector and type.
How to Check If Your Portfolio Is Diversified: Diversification means not betting everything on one thing. Here is how to check yours: look at your biggest holding, spot funds that quietly own the same stocks, and see how your money splits across sectors.

Agenticks

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