Trading Copilot
A judgment-first workstation designed to filter the noise and keep you aligned with your trading plan.
Requires sign-in. The app runs on a separate subdomain by design.
How it works
Trading Copilot doesn't think for you. It helps you think better by enforcing a simple three-step decision workflow.
Switch between 'Scalping', 'Day trading', or 'Swing' profiles to align the assistant with your current timeframe.
Confirm your setup context. Copilot will challenge assumptions and highlight missing checks and invalidation points
Receive a structured reasoning summary. You decide to execute or wait for a better confluence.
What it is (and what it is not)
Trading Copilot is an educational tool for discretionary traders. It structures reasoning, forces clear invalidation, and keeps an auditable log of decisions. The trader remains responsible.
It helps you
- • Review an entry idea using profile rules and market context.
- • Define invalidation points (where the idea is wrong).
- • Get a clear outcome: accept / wait / reject — always with reasons.
- • Build repeatable judgment through logged history.
- • Say "No" by default when conditions are weak.
It does not
- • Execute trades automatically in the current version.
- • Promise profitability, performance, or “signals that always work”.
- • Replace risk management or trader accountability.
- • Hide, rewrite, or “clean up” past decisions.
Trading types (Phase 1)
Phase 1 supports three educational profiles. Each is designed to reduce different failure modes (FOMO, overtrading, lack of context) through stricter reasoning and invalidation.
Scalping
- • Fast review cycle.
- • Strict invalidation.
- • Bias toward “wait”.
Day trading
- • Wider context window.
- • Clear plan emphasis.
- • Focus on repeatability.
Swing trading
- • Longer horizon.
- • Fewer, higher-conviction reviews.
- • Designed to avoid noise trades.
Roadmap
Phases are listed to set expectations. Future steps are gated by verification, security, and real usage data.
Scalping / Day / Swing access, continuous app development, and iterative improvements to analysis quality through prompt refinement, evaluation, and guardrails.
ML training from historical decisions (LLM outputs + user actions) and optional Binance Futures execution. Execution will be gated behind implementation verification, security reviews, and user controls.
A governance token to coordinate ecosystem decisions. This is a coordination mechanism — not a promise of value, returns, or exchange outcomes.
FAQ
No. It reviews ideas and explains reasoning. The trader decides and executes.
Not in the current version. Optional execution is planned in Phase 2, gated by security and verification.
No. The goal is better decision quality and fewer avoidable mistakes — not guaranteed outcomes.
The idea context, outcome, invalidation, and reasoning. Logs exist to support review and learning.
The system is designed to preserve records. The goal is accountability and auditable learning.
Too much customization hides mistakes. Presets teach repeatable judgment before flexibility.
Access
Chironte uses a single sign-in (Google OAuth). Once you’re in, you can access the products enabled for your account.