Enterprise Signal Workflow Guide: Manual Execution & Trade Recordkeeping

Last Updated: May 1, 2026 | ⏱️ 10 min read

TradeBase is a signal-first platform. We do not execute trades on your behalf. Instead, our AI delivers powerful market signals, and your team records each trade in My Trades after execution on the platform you control.

This guide is for enterprise teams that need a clear, compliant, and repeatable signal workflow.

1) Understand the signal-only model

TradeBase provides:

• actionable entry, stop-loss, and take-profit levels
• confidence scoring and signal strength
• alerts for price, volatility, and trade state
• recorded trade history and P&L tracking

TradeBase does not:

• place orders for you
• hold or move funds
• execute trades inside the application

This separation is intentional for compliant enterprise use.

2) Record every live execution in My Trades

When your team chooses to act on a signal:

• execute the trade on your own trading platform (MT5, Binance, TradingView, or other broker)
• then press Take Trade in TradeBase
• capture actual entry price, any notes, and the signal reference
• use My Trades as the single source of truth for active positions

That record lets the platform:

• track TP/SL levels and real-time alerts
• send notifications when price approaches your target
• preserve a historical audit trail of decisions
• calculate realized and unrealized performance

3) Keep execution and signal review separate

Enterprise-grade workflows are cleaner when signal generation and execution remain distinct.

Recommended separation:

• Research team reviews signals and identifies opportunities
• Trading team executes the orders on their chosen platform
• Compliance team verifies manual execution records in My Trades
• Operations team monitors alerts, TP/SL, and trade health

This model reduces regulatory risk and improves accountability.

4) Use alerts and notifications as your sync layer

TradeBase is built to keep your team aligned after manual execution.

• Use alert rules to notify the team when price moves toward TP or SL
• Record the trade to get automated status updates in My Trades
• Use notes and tags to capture context for each signal
• Review active trade notifications daily to ensure nothing slips

5) Define enterprise guardrails around the signal workflow

Strong execution discipline is what makes signals reliable for institutions.

Enterprise guardrails:

• require manual approval before accepting a signal
• define maximum risk per trade and risk/reward thresholds
• limit active positions by asset class or strategy
• review signal performance versus actual trade outcome weekly

6) Train your team on the TradeBase operating model

A seamless experience depends on consistent behavior.

Training should cover:

• how TradeBase signals are generated and scored
• the Take Trade workflow and My Trades recordkeeping
• how to handle alerts for TP, SL, and updates
• the difference between signal guidance and execution responsibility

7) Enterprise launch checklist

• [x] signal-only workflow documented for the team
• [x] manual execution process defined for MT5 / broker platform
• [x] My Trades recordkeeping enabled for all live trades
• [x] alert rules configured for TP/SL and trade status
• [x] risk guardrails documented and enforced
• [x] training completed for signal reviewers and traders
• [x] support and monitoring process in place

Why this matters

TradeBase is strongest when it is used as the intelligence layer, not the execution layer. For enterprise teams, the difference between a successful deployment and a compliance risk is how clearly the signal workflow is documented, executed, and audited.

This guide gives your team the foundation to use TradeBase safely, consistently, and with confidence.