Bot Portfolio
Build a portfolio from multiple strategy bots so your setup can reflect different styles, markets, or time horizons instead of relying on a single signal source.
About Monstra
Monstra lets users follow algorithmic strategy bots, simulate portfolios, and — when connected to a paper brokerage — review and initiate paper trades based on bot signals.
Educational simulation platform. Not financial advice.
Core experience
Strategy discovery, portfolio simulation, and paper-trading review in one place.
Built for clarity
Plain-language explanations, visible risk framing, and user-controlled actions.
Paper-first workflow
Review bot signals before any supported paper trade initiation.
What Monstra Is
Monstra is built to help users explore rule-based strategies without pretending that software output is the same thing as personal advice.
Build a portfolio from multiple strategy bots so your setup can reflect different styles, markets, or time horizons instead of relying on a single signal source.
Each bot updates its modeled holdings from algorithmic rules. Monstra turns those updates into a portfolio view you can review, compare, and track over time.
When you connect a supported paper brokerage, you can review suggested paper trades based on bot signals and decide whether to initiate them yourself.
How It Works
The product flow is meant to stay understandable at each step, especially for users who are comfortable with investing concepts but not necessarily with technical trading systems.
Choose bots
Build a bot portfolio
Review current holdings and signals
Optionally sync to Alpaca paper trading
Track performance over time
Bots & Strategies
This distinction matters: Monstra surfaces algorithmic strategies and community-created systems, not individualized recommendations from a financial professional.
Official bots are Monstra-managed strategies available inside the platform. They are designed to give users a clear starting point for exploring different rule-based approaches.
Users can also create and publish their own bots into the Monstra ecosystem. That opens the door to community experimentation while keeping the output framed as strategy logic, not personal advice.
Following helps you keep tabs on a bot, while subscribing is the access layer for using a bot more directly inside your Monstra experience. The product surfaces these separately so discovery and access stay easy to understand.
A Monstra bot is an algorithmic strategy with rules, signals, and modeled holdings. It is not a human advisor and should not be understood as giving individualized recommendations.
Currencies
The product uses a few labels for access and account features. Here is the simplest way to think about them.
MonstraBytes are used for access to official Monstra bots.
AurumBytes are used when you want to deploy another user's bot from the community. They distinguish creator-to-follower access from Monstra-managed and self-published deployments.
Creo is the creator currency for AI Autofill, simulations, and publishing user-created bots.
Premium is $14.99/month with 3 MonstraBytes and 1 AurumByte per month for subscriptions and deploy access, plus Monstra API access, enhanced rewards, and higher currency caps.
Safety & Trust
Monstra should feel transparent about what the software can do, what the user still controls, and where the risks remain.
Brokerage-connected workflows are designed around paper trading so users can evaluate the experience without committing real capital through Monstra.
Users review information and choose whether to initiate supported paper trade actions. Monstra is not presented as a hands-off auto-trading service.
Signals can become outdated because markets move and systems depend on data freshness. Monstra includes safeguards so stale information is surfaced as a risk instead of being treated as current by default.
The platform links to dedicated legal and risk pages so users can understand the limitations, assumptions, and operational risks behind simulations and paper workflows.
Bot rankings, past performance, and simulations are not promises. Monstra is for education, exploration, and structured review of strategy outputs.
FAQ
The FAQ uses native disclosure controls so it works well for keyboard users and stays lightweight on mobile.
Monstra is an educational simulation platform where users can follow algorithmic trading bots, combine them into portfolios, review signals and modeled holdings, and optionally connect a paper brokerage to review paper trade actions.
No. Monstra is not a brokerage. It is a platform for strategy discovery, simulation, and paper-trading related workflows.
The brokerage-related flow described on this page is paper trading first. It is built for simulated execution and review rather than live money trading through Monstra.
A trading bot in Monstra is an algorithmic strategy. It uses predefined rules to model signals and holdings. It is software logic, not a human advisor.
Subscribing is the product's access layer for using a bot within Monstra. It is different from simply following a bot for updates or visibility.
A MonstraByte is the platform currency used for access to official Monstra bots.
An AurumByte is the platform currency used when you deploy another user's bot from the Monstra community.
Creo is the platform currency used for AI Autofill, simulations, and publishing user-created bots.
Premium is $14.99/month. It includes 3 MonstraBytes per month for official bot subscriptions plus 1 AurumByte per month for deploying another user's bot, along with Monstra API access, enhanced rewards, and higher currency caps. Brokerage features are designed for paper trading and educational use.
Yes. If supported in your account and region, you may be able to connect a paper brokerage such as Alpaca paper trading for review and initiation of paper trades based on bot signals.
No. The intended workflow is user reviewed and user initiated. Monstra shows you what a strategy is signaling and lets you decide whether to proceed in supported paper workflows.
No. Monstra is an educational simulation platform. Its bots and signals are not personalized financial advice.
If signals are stale, they should not be treated as current market instructions. Monstra surfaces data freshness as part of the review process so users can avoid acting on outdated information.
Yes. Monstra supports user-created bots so community members can create, publish, and deploy rule-based strategies within the platform.
Following is about keeping up with a bot. Subscribing is about gaining access to use that bot more directly in the product.
A portfolio of bots can help users compare and combine different strategy styles instead of concentrating entirely on one ruleset. That makes experimentation and review more flexible.
Legal
These pages explain the legal, privacy, and risk context around the Monstra experience.