QuantSignals FST

QuantSignals FST

QuantSignals FST is a supervised AI trading agent that turns QS Research signals into account-aware, risk-governed brokerage execution with order preview, approval, monitored execution, and a reviewable session record.

QuantSignals FST is finance software teams evaluate for education & research. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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Quick Overview

Best for: Education & Research

What it does

Finance software for decision-makers comparing workflow fit and alternatives.

Best fit

Education & Research

Pricing snapshot

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QuantSignals FST

QuantSignals FST is a supervised AI trading agent designed to carry time-stamped QS Research signals into a bounded brokerage workflow. It screens opportunities, reads supporting and conflicting evidence, checks portfolio fit, calculates a risk budget, previews orders, follows account approval policies, monitors resulting positions, and records session activity. FST's purpose is to make decision and execution processes more consistent, observable, and accountable while keeping hard controls (account eligibility, risk limits, broker capabilities, approval and reconciliation) outside the language model. It is available for evaluation via QS paper trading and runs across QS web, desktop and CLI surfaces, iOS, and Android.

QuantSignals FST is a supervised AI trading agent that connects QS Research to risk-governed brokerage execution across web, desktop, CLI, iOS, and Android.

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Key Features

Supervised AI trading agent

FST interprets QS Research signals and forms an explicit thesis and policy decision while remaining supervised by account and risk controls.

Signal screening and evidence reading

Screens the configured universe, reads time-stamped supporting and conflicting evidence from QS Research, and narrates the market and thesis state.

Account-aware decisions

Every order is constrained by the selected account's certified broker capabilities, risk policy, approval settings, and reconciliation requirements.

Risk budgeting and policy enforcement

Agent checks portfolio fit and calculates bounded exposure, rejecting plans that violate account or risk rules.

Order preview and approval workflow

Orders are previewed, follow the configured approval policy, and route to the exact account for approval before execution.

Monitored execution and session recording

FST monitors positions (price, thesis, stop, target, market state) and records the session for review, reconciliation, and learning.

Multi-surface availability

Runs across the QS web app, desktop and CLI surfaces, iOS, and Android.

Paper trading evaluation

New users can observe complete session behavior using QS paper trading before connecting an eligible live account.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Research-to-execution workflows

Translate QS Research signals and time-stamped evidence into actionable, account-aware trade plans enforced by risk and broker constraints.

Supervised automated sessions

Run automated sessions inside preconfigured boundaries while retaining approval and hard limits to maintain supervision and control.

Paper testing and evaluation

Evaluate agent behavior, approval flows, and execution monitoring using QS paper trading before moving to an eligible live brokerage account.

Integrations

QS Research

Supplies time-stamped signals and supporting evidence that FST turns into an explicit thesis and policy decision.

QS Brokerage

Owns account capabilities, risk enforcement, execution, reconciliation, and the authoritative order record used by FST.

Benefits

Makes decision and execution processes more consistent and repeatable by encoding research into a supervised agent.
Improves observability and accountability through order previews, approvals, monitoring, and a reviewable session record.
Enforces hard risk controls and account-specific constraints to limit actions the agent can take.
Enables safe evaluation via QS paper trading prior to connecting live brokerage accounts.
Integrates research, agent decisioning, and brokerage execution into one connected system for clearer reconciliation.

Limitations

FST does not remove market risk and does not guarantee a profitable outcome.
Agent actions are constrained by account eligibility, certified broker capabilities, risk policy, and approval settings — it is supervised rather than fully autonomous.
No pricing or subscription details are provided on the product guide page.

Frequently Asked Questions

What is QuantSignals FST?
QuantSignals FST is a supervised AI trading agent that connects QS Research signals to account-aware, risk-governed brokerage execution and continuous position monitoring.
Is FST fully autonomous?
FST can run an automated session inside preconfigured boundaries, but it remains supervised: account eligibility, capability checks, hard risk limits, approval policy, reconciliation, stop controls, and safe defaults constrain what it can do.
Does FST guarantee profits?
No. Trading involves risk, paper results do not represent future live results, and no AI trading agent can guarantee a profitable outcome.
Can I test FST without a live brokerage account?
Yes. QS paper trading is the default evaluation path so users can observe the complete session behavior before considering an eligible live account.
Where does FST run?
FST is available through the QS web app, desktop and command-line surfaces, iOS, and Android.

Getting Started

  1. 1 Step 1: Choose a destination — select QS paper trading or an eligible live account whose capabilities have been verified for the requested operation.
  2. 2 Step 2: Start a supervised session — configure the universe and start FST so it can screen opportunities and read QS signal evidence.
  3. 3 Step 3: Review previews and approvals — examine the agent's order previews, follow the configured approval policy, and approve or reject as required.
  4. 4 Step 4: Monitor and park — allow FST to monitor positions, apply stops/targets, and park or exit positions under policy; review the session record for reconciliation and learning.

Support

docs

Product guide and installation instructions available at https://quantsignals.xyz/fst

installation

Install FST 2.0 for desktop CLI and mobile via the product guide page linked above.

API

Available: No

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