Financial Tech Wiz Trading Journal: Setup and Auto Sync Guide

The Financial Tech Wiz Trading Journal brings broker-connected trades, performance charts and trade review into one place. You can connect a supported broker once and leave auto sync on, or maintain a journal with manual entries, spreadsheet imports and your own API workflows.

This guide walks through setup, journal destinations and the performance views so you can check your record before drawing conclusions from the numbers.

Key Takeaways

• Broker Auto Sync connects 25+ brokers and refreshes available trade activity every morning before the market opens.
• Each broker account can feed separate journals, a combined journal, or both. Automatic updates and one-time imports are controlled per journal link.
• Automated Portfolio Performance does not require daily balance entry. Recorded net liquidity remains a separate option, and neither method removes the need to check your inputs.

Start With Your Journal Structure

A journal is the destination for the trades you want to review together. A broker connection gives the app access to available brokerage data; the links you choose determine which journal receives each broker account’s trades.

For a simple setup, give each broker account its own journal. This makes it easier to compare a few positions with a statement and spot an import issue. If you also want an overall view, link those broker accounts to a combined journal. One account can belong to both its separate journal and a combined destination.

Keep manually maintained research or imported backtests in their own journal when you want a clean separation from live brokerage activity. Mixing a backtest and actual executions in one destination can make a performance chart difficult to interpret even when every row is technically correct.

If you want to evaluate the workflow before paying for an app, the free trading journal template is the spreadsheet starting point. The journal app has a free account with built-in analysis, and paid plans add broker connections and automatic updates. They are separate products, so the spreadsheet does not include an auto sync connection.

Connect a Broker With Broker Auto Sync

Open Broker Auto Sync from the journal navigation. Choose Connect a broker, or Connect your first broker when the page is empty, then select the brokerage and sign in to your broker to authorize the connection. New broker connections require a paid plan; free accounts can still import by CSV or enter trades by hand.

After connection, check the individual broker accounts shown on the page. A single brokerage login can expose several accounts, so verify the account labels rather than assuming every position belongs in the same destination.

1. Set Import history from for the initial import. Leave it blank to request all history the broker provides.
2. Select the journal chips for the destinations each broker account should feed.
3. Let the initial import finish and read any result or error message.
4. Leave the sync icon on for journal links that should receive automatic updates.
5. Open Trades in each destination and compare a few imported positions with your records.

New combined journal lets you select multiple broker accounts and create a shared destination. Explicit journal links control broker routing; changing the default journal in the account selector is not the required way to send one connected account to another journal.

The initial start date is not a permanent sync boundary. Later rebuilds can include older available history. If you want a fixed sample that never expands, use a separate static dataset rather than assuming an auto-synced journal remains frozen at that initial date.

Daily Updates, Sync Now and Sync All

Auto sync runs every morning before the market opens. Sync now requests an update for one linked broker account; Sync all updates the linked accounts. Broker data can arrive later than the execution itself, so these buttons refresh available data rather than guaranteeing instant delivery of every new fill.

The page shows last-synced information and connection status. If a connection needs attention, use Reconnect and follow the broker authentication flow. Then check the account links and request a refresh. Routine updates do not require deleting all your trades or rebuilding a journal by hand.

One-Time Imports and Unlinking

Use the sync icon beside a linked journal to turn automatic updates off. Imported trades stay, and that link no longer receives automatic updates. Manual refresh is still available while the account remains linked.

Before unlinking, check the sync state. With auto sync on, removing a broker account from a journal also removes the trades it brought into that journal. With auto sync off, imported trades remain when unlinked. Disconnecting a brokerage connection follows the same distinction for its links. Turning updates off and removing the connection are different actions.

Available History and Asset Coverage

The journal imports history provided by the connected broker. It cannot recover executions the broker does not supply. Current holdings alone do not create opening trades or establish purchase dates; the journal waits for reported executions, so shares bought before the available history may not appear as trades.

Treasury bills and bonds are skipped for now. A broker offering an asset does not mean every connection exposes that asset through the same import path. Check the returned positions before assuming a whole mixed brokerage account has been represented.

For options, compatible fills sharing a broker order reference can group into multi-leg entries. Other fills can remain separate. Review the legs and totals instead of assuming every spread will group or entering a second manual copy of positions already present.

Add Manual Trades or Import Existing Records

Use Trades for the day-to-day trade list. Import or sync opens the current import choices: Auto sync with broker, Import from broker CSV, and Import from template Excel or CSV in a regular journal. Broker-specific file importers and the template importer expect different formats.

For manual entry, select the destination journal, open Add Trade, and confirm the Saving to account in the form. Enter the instrument, direction, entry date, quantity, price and fees. Leave exit details empty while the position is open; add exit executions when it closes. Check option contract details and multipliers carefully.

You can add notes and tags to record entry reasons, planned risk and mistakes you want to review. They are useful for finding related trades later. They do not automatically create aggregate performance reports by every custom strategy label.

For spreadsheet migration, preview rows in the template importer and follow its current column instructions. Save the original file, inspect a few imported positions, and check failed rows before retrying. A partially successful import can already have saved trades, so repeating the whole batch without checking can create overlap.

Verified broker journals restrict additions to broker API sync. Manual entry, CSV import and recorded net liquidity are disabled in that mode. Use a regular private journal for manually maintained records or test data.

The trade-logging and import walkthrough covers the individual methods in more detail. Keep duplicate copies of the same fills out of a journal before relying on its statistics.

Understand Automated and Manual Portfolio Performance

Automated Portfolio Performance builds an estimated curve from logged trades and available prices. You do not have to enter a portfolio balance every day to see this curve. It uses the trading record you supply, so missing trades, incorrect quantities or missing cash flows can affect the result.

Record your starting balance and cash flows for the closest match to the portfolio you are tracking. Deposits can be inferred when the recorded trades need more cash than the account has available. That inferred funding is a modeling choice, not proof of the exact amount or date you deposited at the broker.

Read the coverage and freshness information beside the chart. Open positions with available prices can be marked to market; positions without usable prices can remain at cost until closed. A curve with incomplete coverage needs a different interpretation from a fully priced stock portfolio. Do not treat the display as a guaranteed exact reconstruction of the broker statement.

Manual Portfolio Performance

Manual Portfolio Performance uses separately recorded daily net liquidity. This is useful when you maintain a portfolio-value series yourself and want to review that recorded history. It remains an available method, rather than a mandatory prerequisite for every automated curve.

Keep dates, portfolio scope and cash-flow records consistent when comparing recorded and automated views. A combined journal and a single brokerage account are different portfolios. Differences between their curves do not necessarily indicate a calculation error.

If you already have recorded equity values in a spreadsheet, use the corresponding import controls and verify the dates and amounts. Avoid filling gaps with invented daily balances just to make a chart look complete.

Read the Charts Before Drawing Conclusions

Portfolio performance, closed trade performance and open trade performance answer different questions. The portfolio view estimates or records how the whole tracked portfolio changes. The closed trade view focuses on completed positions. The open trade view helps you review current exposure and available-price P&L.

A profitable closed-trade line does not prove your whole portfolio is up by the same amount. Open positions, position sizes and the timing of capital matter. Similarly, a growing account balance can include new deposits. Use the appropriate view for the question you are asking.

Where a benchmark comparison is available, compare the same time period and understand which performance source is selected. A short favorable period is not enough to establish that a strategy consistently outperforms an index.

Stop loss information is useful for reviewing planned exposure, but a journal entry is not a working broker stop order. Check the actual order in your brokerage account. Available market prices also vary by instrument and update schedule; do not assume every chart is a real-time execution feed.

Use Analytics and Statistics for Trade Review

Analytics helps you look for patterns across symbols, holding periods, asset types and entry timing. Statistics brings together measures such as win rate, average win and loss, profit factor, fees and recorded risk information. The useful question is what you can change in your process, not which single number looks best.

For example, a higher win rate can still produce weak results if the average loss is much larger than the average win. A holding-period breakdown can suggest that you review quick exits, but it does not establish that holding every future trade longer will improve results. Inspect the individual positions behind the aggregate.

Keep enough context to explain unusual trades. A partial exit, a spread represented differently from another position, or a large fee can change a small sample. Correct the underlying record before interpreting an apparent pattern.

Searchable notes and tags help you find the trades you labeled in the Trades tab. Do not assume this search filters all aggregate Analytics statistics. The safe starting point for options review is win rate and P&L across positions, broken down by symbol and hold duration, while checking how imported legs are represented.

Calendars, Notes and the Overview

Use the calendar to review activity and the selected performance view by date. Before comparing two periods, check the journal and data source so you do not mix trade outcomes with a separately recorded equity series. Sharing controls can help you create a performance image; review the contents before making it public.

The Notes page stores context that does not fit in a price field: screenshots, observations, watchlists and lessons from your review. A practical note records the decision, what happened and one adjustment to test next time. Keep sensitive account information out of screenshots you intend to share.

Overview is the place to check the journal at a glance. Use its charts, recent trades and summary figures to identify what needs attention, then open the detailed view. A dashboard number is a starting point for review, not a replacement for checking a mismatched import.

AI Insights, the Coach and MCP

Insights and coach tools help you review your trading records. Ask focused questions about the data in the journal, such as which symbols contributed most to recent results or which losing positions deserve a closer look. Check the trades behind an answer before changing a trading rule.

The AI does not make an incomplete history complete or guarantee that an observed relationship will persist. Notes improve the context available for a review, but a strategy name in a note is not proof that the app calculates every statistic for that strategy.

For your own AI-agent workflow, the API and hosted MCP documentation explains account, trade and equity tools, scopes and membership requirements. Agent-driven imports are separate from broker auto sync. The MCP contract does not provide broker connection controls or place broker orders.

Use appropriately scoped keys and reconcile partial writes before retrying imports. Never share a key publicly. Keep automated experiments in a separate journal until you have verified the account destination and checked that the same fills are not also arriving through broker sync.

A Simple First-Week Review Routine

Start by comparing a handful of imported open and closed positions with the broker record. Check quantities, direction, fees and dates. Then review the selected performance source, starting balance, cash flows and coverage. Resolve obvious differences before interpreting a long history.

Add a short note after trades that test your rules. At the end of the week, review a few winners and losers alongside the statistics. Choose one process question, such as whether your entries are well planned or whether exits follow your rules, and record what you will test next.

You can compare the journal with other tools in our best trading journals guide. Consistency matters, but accuracy comes first: a smaller clean record is more useful than a larger dataset with duplicated positions.

Earlier Video Walkthrough

This earlier video shows a previous interface. Use the current written steps above for Broker Auto Sync, journal links and the Import or sync menu.

More in the Membership: R Multiples, the AI Coach and Scanners

The membership includes more than trade records. Trades with a recorded initial stop can show results as R multiples, and the AI Trading Coach answers questions about your own trade history inside the journal. The scanner suite and backtests cover US stocks and ETFs: the Daily Pivot Breakout Scanner has scan history back to 2000 with backtests of its scans, and each other scanner’s free page states when its own history starts. The free scanner pages are five trading sessions delayed; members see current results in the app. Results on historical data are hypothetical and do not guarantee future returns.

FAQ

Which trading journal is best for traders?

Choose one that fits your broker, asset coverage and review process. The Financial Tech Wiz Trading Journal suits traders who want broker-connected records, separate or combined journals, performance views and AI-assisted review. Verify the actual connected data and workflow before relying on a journal’s totals.

What is the best free trading journal app?

Free tools vary in their limits. Financial Tech Wiz offers a free Google Sheets template as the accessible starting point. The Financial Tech Wiz Trading Journal has a free account, and paid plans at $19/month or $119/year add broker connections.

Does the journal automatically sync new trades?

Yes. Leave auto sync on for the journal links you want updated. It runs each morning before the market opens, with Sync now and Sync all available for manual refreshes of broker-provided data. Availability depends on when the connected broker supplies the activity.

Do I need to log my net liquidity every day?

No. Automated Portfolio Performance estimates a curve from trades and available prices. Manual Portfolio Performance uses recorded daily net liquidity as a separate source. Starting balance, cash flows and coverage affect how closely the automated estimate matches your portfolio.