# FX Trade Assistant — Reconcile P&L & Monitor FX Risk An AI assistant designed for forex traders, trading desks, and finance teams to unify trade blotters, automate P&L reconciliation, enforce real-time risk rules, and produce audit-ready reports for accounting and compliance. ## Highlights - Unified trade-to-ledger timeline for investigation and reconciliation - Configurable real-time risk rules with incident workflows - Explainability-first AI suggestions and exportable audit records - Pre-built adapters for common FX feeds plus CSV/SQL ingestion ## Why finance and FX teams use this assistant Fragmented trades, manual spreadsheets, and delayed feed health checks increase cost and risk. This assistant centralizes trading and accounting artifacts so traders, controllers and auditors operate from the same timeline and decision record. - Stop chasing spreadsheets: match blotters to ledger events with suggested journal entries and variance notes. - Reduce time to detect feed issues, slippage and duplicate executions with automated feed-health sensors. - Keep compliance-ready artifacts: every alert and AI suggestion includes a timestamped decision context for auditors. ## How it works — ingestion to audit export The assistant ingests trade and price sources, normalizes them into a common event timeline, applies risk rules and reconciliation logic, and surfaces exceptions with explainable recommendations and exportable records for finance and compliance. - Ingest: broker APIs, MT4/MT5 logs, FIX/OMS streams, CSV/Excel blotters, GL extracts and market ticks. - Normalize: map columns (order id, side, notional, currency pair, timestamp) and unify timezones and identifiers. - Detect & alert: feed-health checks, missing fills, out-of-sequence messages, price anomalies, and margin breaches. - Reconcile: suggested ledger mappings, realized vs unrealized P&L, settlement variances, and CSV/JSON audit exports. - Review & sign-off: human-in-the-loop exception notes, approval fields, and exportable compliance snapshots. ### Data sources supported Common FX and accounting sources you can bring to the assistant. - MT4 / MT5 trade logs and exports - OANDA, FXCM, IG, Dukascopy blotters and broker APIs - Interactive Brokers confirmations and account statements - FIX gateways, OMS feeds, and market tick streams - CSV/Excel blotters, QuickBooks/Xero extract files and SQL warehouses - S3/SFTP trade dumps and message queues (Kafka, Kinesis) ## Prompt templates and operational workflows Pre-built prompt clusters make common FX workflows repeatable. Use them as-is or customize to match account naming, ledger mappings, and risk thresholds. ### Daily P&L Reconciliation Ingest blotter and ledger exports for a set of currency pairs and produce reconciliation rows with suggested ledger accounts and variance notes. - Sample prompt: "Ingest today's trade blotter and ledger exports for GBP/USD, EUR/USD and USD/JPY. Highlight unmatched trades, calculate realized vs. unrealized P&L per account, and produce CSV-ready reconciliation rows with suggested ledger accounts and variance notes." ### Intraday Risk Alert Monitor exposures and trigger operator-facing hedging advice when limits are breached. - Sample prompt: "Monitor aggregated exposure by currency pair and account. If net notional for any pair exceeds the configured limit or margin utilization rises above the configured threshold, generate an alert with current positions, open orders, and recommended immediate hedges." ### Trade Incident Investigation Produce a step-by-step timeline for trade events and flag anomalies for ops and compliance. - Sample prompt: "Given a sequence of trade events between 09:00–09:15 UTC, produce a timeline showing fills, slippage, price ticks, and balance changes. Flag missing fills or duplicate executions and suggest next steps for traders and ops." ### Audit-Ready Export Tie each trade to a stamped audit record for retention and regulator review. - Sample prompt: "Create an export that ties each trade to a stamped audit record: order id, execution timestamp, source feed, risk-check pass/fail, reconciliation status, and operator notes. Format as JSON and CSV for archives and regulators." ## Explainability & control for accounting teams Every automated suggestion includes the prompt text, source artifacts, and a decision summary so auditors can reproduce how a recommendation was formed. Finance teams can accept, adjust, or reject suggested journal entries and capture sign-off rationale. - Stamped decision logs: prompt inputs, reasoning summary, and exact data elements used. - Editable journal templates: propose debit/credit lines and let controllers edit before export. - Human-in-the-loop approvals: exception queues with sign-off fields and exportable approval records. ## Operational readiness & integration Designed to integrate with existing trading and accounting ecosystems. Start with CSV/Excel and add live broker feeds or FIX streams as you mature. - Adapters and templates for MT4/MT5, popular broker APIs and FIX gateways. - SQL and data-warehouse friendly exports for downstream reporting (Postgres, Redshift, Snowflake). - Lightweight operator workflows: incident notes, annotated timelines, and exportable reports for compliance teams. ## Security, privacy, and data handling Sensitive trade and client data is treated as operational data. The assistant supports encrypted ingestion channels, scoped access controls, and export formats that preserve audit metadata. Retention policies and role-based access control let teams restrict visibility by function. - Encrypted transport for API and SFTP feeds; configurable retention and redaction for export artifacts. - Role-based access controls for traders, controllers and auditors with per-report visibility. - Exportable audit artifacts so regulators receive unaltered event timelines and operator notes. ## Workflow 1. 1. Connect sources Start by uploading CSV/Excel blotters or connecting broker APIs/FIX feeds and your general ledger extracts. Configure timezone and identifier mappings. 2. 2. Configure reconciliation rules Map blotter columns to ledger accounts and set matching tolerances for timestamps and notional amounts. Define suggested journal templates for common event types. 3. 3. Enable risk sensors Set position limits, margin thresholds and exposure rules. Configure alert channels and human-in-the-loop approval thresholds for large exceptions. 4. 4. Run validation and review Run a test ingestion for a single trading day, review suggested reconciliations and decision logs, and adjust mapping rules or prompts as necessary. 5. 5. Go live and export Enable continuous ingestion or scheduled batch runs. Use CSV/JSON audit exports and signed exception reports for posting and regulator review. ## FAQ ### How does the assistant reconcile trades between multiple brokers and the general ledger? The assistant normalizes trade events from each source into a single timeline, matches trades to ledger events using order IDs, timestamps and notional amounts, and surfaces unmatched rows with suggested ledger mappings and variance notes. Controllers can review suggested journal entries, edit charts of accounts, and export reconciliation rows as CSV/JSON for posting. ### What data sources and file formats are supported for FX trade and price feeds? Common FX sources are supported: MT4/MT5 logs, OANDA/FXCM/IG/Dukascopy broker blotters, Interactive Brokers statements, FIX/OMS streams, market tick sources, CSV/Excel blotters, GL extracts, SQL warehouses, and S3/SFTP dumps. Start with file-based ingestion and add live API or streaming feeds as needed. ### How are AI suggestions documented so auditors can reproduce decisions? Every suggestion includes the original prompt, the exact input files or feed slices used, a plain-language reasoning summary, and a stamped decision log that records who reviewed or approved the suggestion. Audit exports preserve these fields so auditors can trace recommendations back to source events. ### Can I enforce custom risk rules and have them trigger alerts in real time? Yes. Configure position limits, cross-currency exposure thresholds, and margin-utilization rules. Rules run against the unified timeline and can trigger operator alerts with recommended mitigations and an execution checklist for traders and ops teams. ### How does the system detect feed problems, slippage, or duplicate executions? Feed-health sensors monitor latency spikes, missing ticks, out-of-sequence messages and price anomalies. Trade comparisons flag slippage and duplicate executions by matching timestamps, sequence numbers and price deltas, then open an incident with annotated timelines and suggested remediation steps. ### What control do finance teams have over automated journal entry suggestions? Finance teams can review, edit, and approve suggested journal entries in a dedicated reconciliation workflow. Suggested mappings include rationale and variance notes; controllers can attach supporting evidence, require additional approvals, and export signed entries for posting. ### How long does it take to connect a typical broker blotter and start receiving reconciliations? Time to value depends on source accessibility. File-based blotters (CSV/Excel) can be ingested and reconciled within hours once mapping rules are configured. Live API or FIX onboarding requires broker credentials and mapping checks but follows the same normalization and reconciliation workflows. ### How is sensitive trade and client data protected during ingestion and storage? Data is ingested over encrypted channels and stored according to configured retention and access-control policies. Role-based permissions restrict who can view PII and trade-level details, and exports preserve audit metadata to ensure traceability without exposing unnecessary client data. ### Does the assistant provide backtest summaries that are reproducible and explainable? Yes. Backtest reports include the exact tick files and parameter sets used, a plain-language summary of strategy behavior, drawdown windows, and a data provenance section describing any gaps or adjustments made to the input data. ### How do traders and accounting teams collaborate on exception remediation and sign-off? Exceptions open a shared incident with an annotated timeline, operator notes, suggested corrective entries, and an approval field. Traders, ops and controllers can add comments, attach evidence, and complete sign-off steps; the final signed record is included in the audit export. ## Related pages - [Pricing](/pricing) — Plans and billing for monitoring-led FX workflows. - [About Texta](/about) — Learn about Texta’s approach to monitoring, traceability, and AI-assisted workflows. - [Comparison](/comparison) — Compare monitoring-led assistants and reconciliation tools. - [Industries](/industries) — Explore other industry assistants and use cases. - [Blog](/blog) — Operational guides, security considerations, and FX monitoring best practices. ## Start reconciling FX trades with explainable AI Get a tailored walkthrough and see how your blotters and ledgers reconcile into audit-ready records. - [See pricing](/pricing) - [About Texta](/about)