Scope360 x BloFin: Automated Trading Journal & Analytics

Connect BloFin to Scope360 and turn your trading history into actionable analytics with 56+ metrics, setup tracking, risk analysis, MAE/MFE, tags and ScopeAI.

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Scope360
Scope Journal
Published on September 17, 2026
Scope360 x BloFin: Automated Trading Journal & Analytics

A trading account can tell you how much you made or lost. It can show your entries, exits, fees and completed orders. What it rarely shows clearly is why those results happened, which parts of your trading process are actually working, and where the same problems continue to appear.

This becomes increasingly important as the number of trades grows. After several hundred positions, it becomes difficult to remember which setups performed best, which instruments caused most of the losses, whether Friday trading is really as bad as it feels, or how much early exits have cost over the past three months.

The partnership between Scope360 and BloFin gives traders a practical way to work with this information. BloFin remains the place where trades are executed, while Scope360 turns trading history into a structured journal where performance, risk, setups and behavior can be reviewed over a much larger sample.

Instead of evaluating the last trade, traders can start evaluating the process behind all of them.

TL;DR

  • BloFin traders can use Scope360 as an automated trading journal to keep their trading history organized and available for regular review.

  • Scope360 provides 56+ trading metrics, including Net PnL, win rate, Profit Factor, RR, commissions, MAE/MFE, drawdown, average holding time and other performance statistics.

  • Results can be analyzed by instrument, trading session, time of day, setup, tag and selected period.

  • Traders can add notes, screenshots, comments, setup labels, mistakes and other context to individual positions.

  • Daily Stats and the Trading Calendar make it easier to review performance by day, week and month and identify recurring periods of strong or weak trading.

  • Multiple trading accounts can be organized inside one Scope360 environment with unified analytics.

  • ScopeAI can work with journal data to help traders analyze their trading behavior and identify patterns inside their own history.

  • Scope360 also includes trade sharing, mobile access and manual journaling for trades that are not imported automatically.

Why a BloFin Trader Needs More Than Trade History

Looking at a list of completed positions is useful when you need to check an entry price or find a particular transaction. It becomes much less useful when the question changes from “What happened in this trade?” to “What keeps happening across my trades?”

Consider a trader who has finished the month in profit. The final PnL looks good, yet several important questions remain unanswered.

Was most of the profit generated by one unusually large position? Did long trades consistently perform better than shorts? Which instruments produced the strongest results? How much was paid in commissions? Did the trader make money during the main trading session and give part of it back later in the day? Were profitable trades held long enough, or were positions repeatedly closed before reaching their potential?

These questions require the entire trading history to be organized and compared under the same framework.

That is the role Scope360 plays in the Scope360 x BloFin partnership.

See What Actually Drives Your PnL

The main dashboard in Scope360 provides a broader view of trading performance instead of reducing the account to the current balance.

Traders can review metrics such as Net PnL, win rate, Profit Factor, average winning and losing trades, commissions, risk-to-reward statistics, drawdown, balance history and winning or losing streaks. Scope360 currently includes more than 56 metrics for performance analysis.

The value of these numbers comes from looking at them together.

A 60% win rate can produce very different results depending on the average winner and average loss. Two profitable strategies may have completely different drawdowns. A month with a strong gross result can become considerably less attractive once commissions are included.

This gives BloFin traders a much clearer picture of how their results are being created and makes it easier to separate a repeatable trading process from several successful trades that had an unusually large impact on the account.

Find the Markets and Setups Where You Perform Best

Most traders do not perform equally well everywhere.

The same trading approach can produce different results on BTC and ETH, during different sessions, or under different market conditions. A setup that works consistently during one part of the day may become much less reliable when traded several hours later.

Scope360 allows traders to analyze performance by instrument, session, time of day, setup and other selected parameters.

For example, a trader can review:

  • which instruments generate the highest Net PnL;

  • which markets contribute most to drawdown;

  • how long and short positions perform separately;

  • which hours produce the strongest results;

  • whether a particular setup performs differently across trading sessions;

  • which days of the week repeatedly create problems.

This type of analysis turns a general impression such as “I trade BTC better” into something that can actually be checked against trading history.

The same principle applies to setups. If several entry models are used, each one can be categorized and reviewed independently instead of combining every trade into a single account-level result.

Build Statistics Around Your Own Setups

Scope360 supports custom tags, notes and trade context, allowing traders to organize positions according to the logic of their own trading system.

A trade can be tagged by setup, market condition, execution type, mistake, emotional state or rule compliance.

A trader might use tags such as:

Breakout, Reversal, Trend Continuation, Countertrend, Late Entry, Early Exit, FOMO, News Trade, A+ Setup or any other category that is relevant to the strategy.

Once these trades accumulate, the tags become part of the analytics.

Instead of relying on the feeling that a particular setup “usually works,” traders can review its actual win rate, PnL, average result and other statistics across a meaningful sample.

The same process can be used for mistakes. If trades are regularly tagged as “entered too early” or “closed before target,” the trader can eventually see how often the behavior occurs and what effect it has on the overall result.

Understand What Happens After You Enter a Trade

The final PnL does not describe everything that happened between the entry and the exit.

Scope360 includes MAE and MFE analysis, which helps traders study how far positions moved against them and how far they moved in their favor while they were open.

This is particularly useful when reviewing exits.

Suppose a trader repeatedly takes profit at 1R, while the MFE statistics show that many of those positions later reached 2R or 3R. That does not automatically mean every trade should be held longer, but it gives the trader actual data for reviewing the exit model.

The same logic applies to losing trades. MAE can help identify how much adverse movement is typical for a setup and whether entries consistently experience unnecessary drawdown before moving in the intended direction.

Combined with RR and average risk metrics, this creates a more complete view of how trades behave after execution.

Review Your Trading Day, Week and Month

A trading journal becomes much more useful when reviewing it becomes part of the routine rather than an occasional exercise after a bad period.

Scope360 includes Daily Stats and a Trading Calendar that organize performance by date and allow traders to review results across individual days, weeks and months.

The calendar makes recurring patterns easier to notice.

A trader may discover that Monday performance is consistently strong, while Friday afternoon trading repeatedly reduces the week's result. Another may find that the first trades of the session perform normally and losses begin after several consecutive positions, pointing toward overtrading rather than a problem with the strategy itself.

These patterns are difficult to recognize from isolated transactions because each individual trade can have a perfectly reasonable explanation. Across several months of data, repetition becomes much harder to ignore.

Daily Stats also give traders a natural structure for weekly and monthly reviews without rebuilding reports manually in spreadsheets.

Keep the Context Behind Every Trade

Statistics explain what happened across the sample, while individual trade notes help preserve why a decision was made at the time.

Scope360 allows traders to add text comments, notes, tags and screenshots to their trades. The platform also supports detailed trade information and voice or text comments depending on the available plan and functionality.

This creates a useful record of the original reasoning behind a position.

A trader can document the setup, market context, planned scenario, execution mistake, confidence level or reason for exiting. Weeks later, the position can be reviewed with the information that existed at the time instead of reconstructing the decision from memory.

For traders working on execution quality and discipline, this context is often as valuable as the PnL itself.

Analyze Multiple Accounts in One Place

Many active traders no longer use a single trading account.

A trader may have separate accounts for different strategies, exchanges, personal capital or trading challenges. Reviewing them independently makes it difficult to understand overall performance and creates several separate datasets that have to be managed manually.

Scope360 supports multiple connected accounts and brings their data into one interface with unified analytics.

Accounts can still be analyzed individually, while the wider view helps traders understand how their trading activity performs as a whole.

This is especially useful when the same strategy is traded across several accounts or when a trader wants to keep different approaches separated without maintaining several unrelated journals.

Use ScopeAI With Your Trading Data

Scope360 also includes ScopeAI, an AI assistant that works inside the trading journal and analyzes trading behavior based on the information available in the platform.

Instead of asking a generic AI model broad questions about trading, users can work with the context of their own journal.

This can make performance reviews more focused because the discussion begins with actual trading history, metrics and recurring patterns from the account.

The trader still decides what to change and how to interpret the results. ScopeAI provides another way to explore the data already collected in the journal and surface areas that deserve closer attention.

Share Trades Without Rebuilding Them From Screenshots

Trading review often happens together with mentors, teammates or other traders.

Scope360 includes shareable trade cards and charts, allowing individual trades and performance information to be presented in a cleaner format without manually assembling several screenshots every time a position needs to be discussed.

For traders who regularly review positions with someone else, this keeps the conversation focused on the actual trade, its execution and the surrounding statistics.

Scope360 also provides mobile applications for iOS and Android, so journal data and performance can be reviewed away from the desktop.

From BloFin Trades to a Repeatable Review Process

The practical value of the Scope360 x BloFin partnership is not another screen full of numbers.

It is the ability to take the trading activity already happening on BloFin and build a repeatable review process around it.

A trader can finish a week and see which setups made money, which instruments underperformed, how much commissions affected the result and where the largest drawdown occurred. The same history can then be filtered by session, direction, setup or tag to understand what created those numbers.

After a month, Daily Stats and the Trading Calendar provide a wider view of consistency.

After several months, the sample becomes large enough to study recurring strengths and weaknesses with much more confidence.

The journal grows together with the trader's history, so each new position contributes to the same dataset instead of disappearing into an endless list of completed orders.

Scope360 x BloFin: Trade on BloFin, Understand Your Performance With Scope360

BloFin gives traders the environment to execute their ideas. Scope360 gives them the tools to study what happens after those ideas meet the market.

With an automated BloFin trading journal, traders can keep their trading history organized, analyze more than 56 performance metrics, compare instruments and setups, study risk and drawdown, review MAE/MFE, add notes and screenshots, track daily statistics, use custom tags and work with their data through ScopeAI.

The goal is straightforward: build a trading history that can actually be used.

When enough trades are collected and reviewed under the same structure, questions that previously depended on memory start to have measurable answers. Which setup works best, where most losses come from, when execution deteriorates, whether exits are efficient, how commissions affect the strategy and which parts of the process deserve attention next.

That is where a trading journal becomes useful: when the history of completed trades starts informing the decisions that follow.

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Scope360
Scope Journal
An automated trading journal for traders of any level.