Minara Personalization: An Explainable, Context-Aware AI Personalization Layer

Over the past months, a clear pattern kept coming up in user feedback:

Users didn’t just want better answers. They wanted Minara to understand how they think and trade. Not in a generic sense, but in a way that reflects their habits, pace, and decision style.

That’s what Minara Personalization is designed to do.

We’ve recently launched Personalization in Minara. With your consent, Minara can gradually adapt to how you analyze markets and trade, and how you typically approach decisions. Whether you’re interacting through chat now or using Trading Copilot as it evolves, you’ll start to experience analysis and decision support that feels more consistent, more personal, and more aligned with your own approach.

Personalization Architecture

Minara’s personalization is designed as a smart layer you control. It brings together four inputs to build a practical understanding of how you prefer to analyze and make decisions, which are: Memories, Tags, Portfolio Context, Trading Summary.

You decide which signals Minara can use, and different inputs can be enabled, limited, or excluded based on your comfort level.

Memories: stable preferences, not momentary states

Memories capture long-term, stable preferences that improve future conversations, such as:

• Preferred information density (concise vs. detailed)
• Language and formatting habits
• Long-term risk preferences
• Recurring themes or ongoing projects

Short-term emotions or temporary views aren’t treated as lasting truths. A stressful day or a brief market bias shouldn’t shape how Minara supports you weeks later.

Tags: structured signals that keep personalization explainable

Tags turn conversation signals and behavior patterns into structured attributes that help Minara decide how to respond, like how deep to go, what to emphasize, and how to frame an answer.

Common tag dimensions include:

• Trading and risk tendencies (risk posture, trading style, holding horizon)
• Asset and narrative focus (majors vs. higher-volatility assets, preferred themes or ecosystems)
• Understanding and presentation preferences (how familiar you are with concepts, and how much explanation you want)

Tags aren’t fixed labels. Each one carries a confidence level and evolves over time as new signals appear. Signals grounded in actual behavior tend to carry more weight, while inferred signals are handled more cautiously. When short-term behavior clashes with longer-term patterns, the system is designed to avoid overreacting.

Trading Summary: learning your cadence

When Trading Summary is enabled, Minara looks at high-level trading patterns to understand your rhythm and habits—without surfacing or replaying individual trades.By default, this context comes from activity within Minara itself. The goal is simple: reduce repeated setup and explanation, while keeping sensitive details private.

Over time, Minara may support additional signals from external sources such as on-chain data or CEX history. If you choose to connect them, the same rule applies: everything is explicitly permissioned, and you decide what’s included and how broadly it’s used.

Portfolio Context: grounding analysis in your current state

In financial decisions, context matters. Advice that ignores your current holdings or exposure often sounds right in theory, but falls apart in practice.

With Portfolio Context enabled, Minara treats your positions as state for the conversation—not as long-term memory. You can choose which positions are included, rather than exposing everything by default, so analysis stays relevant without becoming intrusive.

What changes in practice with personalization?

Personalization changes how actionable market facts are. The same market data can be interpreted very differently depending on the trader, and Minara is designed to adapt its framing in a few practical ways:

• Beginner vs. advanced users
  Newer users may see clearer definitions, more context, and stronger risk reminders. More experienced users get tighter structure, fewer basics, and greater emphasis on key triggers and decision framing.
• Different time horizons
  The same chart means different things to a short-term operator than it does to a longer-term holder. Tags help Minara prioritize the right indicators and timeframes, and highlight the risks most relevant to that horizon.
• Different presentation preferences
  Some people want a one-line takeaway. Others prefer tables, bullets, or a structured breakdown. Memories and tags help Minara stay consistent across conversations, so you’re not resetting the format each time.

Over time, this makes the experience more like a system that stays aligned with what you care about. Conversations become faster, with less back-and-forth, and outputs consistently surface the angles you tend to focus on. In trading copilot, personalization also helps keep planning aligned with your strategy style and risk posture, while keeping you in control of it.

Trading Copilot: where personalization really shows up

Personalization matters in Minara Trading Copilot. Copilot is designed for moments close to trading action, like when you’re evaluating a trading setup, weighing execution, or deciding whether to act. In these decision-adjacent scenarios, generic analysis quickly breaks down, and personalization makes the biggest difference.In Copilot, personalization shows up in three practical ways:

• Style-aware framing
  Analysis and alerts are shaped around your typical rhythm and preferences, rather than a one-size-fits-all answer.
• State-aware perspective
  Context you choose to include—such as portfolio state or trading summaries—keeps analysis grounded in your actual situation, not abstract assumptions.
• Consistent risk signaling
  Risks, boundaries, and possible execution pacing are surfaced in a way that matches how you usually reason, helping you see trade-offs more clearly without taking control away from you.

With personalization enabled, Copilot delivers decision support that’s more aligned with your own trading system and execution style. You always decide which personalization inputs are enabled, and sensitive details are never exposed in conversation.

Trust & Control: Transparent, Bounded, and Explainable

The more personalization can do, the more it has to earn trust. That’s why Minara treats it as a user-controlled layer, for it's built to be helpful and manageable in the long-term.

Transparency in Personalization

Minara can reference the types of context that shaped an answer without exposing sensitive specifics like amounts, full addresses, or overly granular position details.
You should understand why an answer looks the way it does, without your private data showing up in the conversation.

A clear boundary: guide, don’t replace

Personalization is meant to sharpen your judgment, not override it. It adjusts the structure, depth, emphasis, and risk framing of responses—without locking you into a permanent profile, treating short-term emotions as long-term strategy, or pushing a single narrative.
Even when it’s enabled, your profile is one input—not the final authority.

Why “tags + controllable context” ?

We chose this path because it stays:

• Explainable: tags and memories are readable intermediate layers.
• Controllable: inputs can be enabled, limited, or excluded.
• Iterative: the system can improve over time as opted-in signals grow, while keeping the same principles.

Personalization in Minara will keep getting sharper and more consistent over time. It will get better at matching your real intent, not just your last message. But the direction won’t change: personalization must remain explainable, user-controlled, and firmly within bounds.

Always opt-in. Always transparent. Always yours.

Get started

If you’re curious how personalization can help shape your Minara experience, you can try Minara now: AI financial assistant that turns natural-language intent into analysis, strategy, and execution across digital finance.

• App: https://minara.ai
• X: https://x.com/minara
• Community (Discord): https://discord.com/invite/minaraai

Try Trading Copilot (Early Access)

If you want to Try Trading Copilot on your own trades with personalized experiences, please join the waitlist.

Access rolls out in phases.

Join the Trading Copilot waitlist: https://copilot.minara.ai