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Top 11 Best Day Trading Software of 2026

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Top 11 Best Day Trading Software of 2026

Editorial roundup comparing day trading software options like Trade Ideas, TradeStation, and Sierra Chart for platform fit and trading workflow tradeoffs.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Day trading software matters because it shapes the entire workflow from market data ingestion to order execution and strategy automation. This comparison helps analysts and active traders decide between charting and scanning engines, order-routing control, and integration depth such as APIs, sandboxing, and backtest data pipelines using platforms like MetaTrader 5.

Trade Ideas is the best pick for day traders who want continuous rule-based scanning turned into actionable setups, since its strategy alert engine evaluates conditions nonstop and pushes candidates straight into chart-linked alerts, while TradeStation fits active traders better when EasyLanguage automation and chart-connected order workflow need to share one execution-focused workspace.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Trade Ideas

Strategy alert engine that evaluates conditions continuously and pushes candidate setups into alerts with linked chart context.

Best for: Fits when daily trading decisions require continuous rule-based scanning and broker-connected order workflows.

2

TradeStation

Editor pick

EasyLanguage-based strategy automation that can generate orders from chart or signal logic with execution-tracking in the same workspace.

Best for: Fits when day traders need chart-linked automation and brokerage execution visibility in one workflow.

3

Sierra Chart

Editor pick

Chart-to-order workflow with execution report driven reconciliation in the trade blotter.

Best for: Fits when intraday traders need chart-driven execution control and deep reporting for fast post-trade review.

Comparison Table

1
Trade IdeasBest overall
vertical specialist
9.4/10
Overall
2
enterprise
8.8/10
Overall
3
enterprise
8.6/10
Overall
4
8.3/10
Overall
5
vertical specialist
8.1/10
Overall
6
7.9/10
Overall
7
vertical specialist
7.6/10
Overall
8
7.2/10
Overall
9
6.8/10
Overall
10
6.6/10
Overall
11
enterprise
6.3/10
Overall
#1

Trade Ideas

vertical specialist

Real-time stock scanning and AI-assisted trade discovery platform for day traders.

9.4/10
Overall
Features9.4/10
Ease of Use9.3/10
Value9.5/10
Standout feature

Strategy alert engine that evaluates conditions continuously and pushes candidate setups into alerts with linked chart context.

Trade Ideas is a day trading software suite centered on automated scan-to-watch workflows that route ideas into alerts, charts, and trade review. Charting and scanning are tightly coupled through pre-built strategies, rule-based setups, and backlist or exclude logic that reduces low-quality repeats.

Trade Ideas also connects to broker accounts and execution platforms to support an end-to-end trading loop instead of a standalone screener. The product’s standout distinction for day trading is its strategy alert engine that can continuously evaluate conditions and notify with actionable context.

Pros
  • +Automated strategy alerts convert scans into actionable trade candidates
  • +Rule-based filters reduce repeat signals and help keep watchlists clean
  • +Broker-connected workflows support a full scan, monitor, and trade loop
  • +Extensive built-in strategies support multiple day trading styles
Cons
  • –Strategy setup and tuning takes time and iterative testing
  • –Automation can create alert volume that needs strict thresholds
  • –Advanced customization often depends on deeper workflow knowledge
  • –Chart and alert behavior can be harder to troubleshoot than simple screeners
Use scenarios
  • Active day traders

    Alert-driven scans for intraday setups

    More consistent watchlist flow

  • Momentum strategy traders

    Filters with backlist and excludes

    Fewer duplicate low-quality ideas

Show 2 more scenarios
  • Quant-focused traders

    Rule-based strategy scans with context

    Less manual setup time

    Keeps scanning and charting aligned through pre-built strategies and rule evaluation.

  • Traders using broker automation

    Scans linked to order execution

    Shorter time to place trades

    Connects alerts to broker and execution workflows for an end-to-end trading loop.

Best for: Fits when daily trading decisions require continuous rule-based scanning and broker-connected order workflows.

#2

TradeStation

enterprise

Advanced trading platform with direct market access, charting, and automated strategy execution for active day traders.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

EasyLanguage-based strategy automation that can generate orders from chart or signal logic with execution-tracking in the same workspace.

TradeStation is a day trading order and charting environment that links strategy logic to the brokerage execution workflow. Power comes from automated trade signals built in its EasyLanguage scripting model and deployed through its brokerage-connected order entry tools.

Charting, scanning, and execution views are designed to keep the trader inside a single workspace while monitoring orders and fills. TradeStation also supports broker integration features like FIX connectivity for trading workflows that need direct message-level control.

Pros
  • +EasyLanguage automation ties signals directly to order entry workflow
  • +Charting and scanning stay connected to trading context and order status
  • +Order management supports granular order handling and detailed blotter views
  • +Broker connectivity options support advanced integration scenarios
Cons
  • –Strategy scripting has a learning curve for reliable trade automation
  • –Some workflow depth relies on add-on modules and data setup choices
  • –Execution monitoring requires careful attention to order status reconciliation
  • –Advanced routing behavior may feel opaque during fast market conditions
Use scenarios
  • Active futures traders

    Automate breakouts with EasyLanguage and alerts

    Faster execution of breakout trades

  • Equity day traders

    Scan for high-volume pullbacks

    More consistent trade candidate flow

Show 2 more scenarios
  • Algo-focused systematic traders

    Deploy strategy logic to execution workflow

    Reduced manual order handling

    Connect scripted strategy outputs to brokerage order entry so signals translate into managed fills.

  • Institutions with FIX needs

    Integrate trading workflows via FIX

    Tighter control over message workflows

    Use FIX connectivity for direct message-level control over routing and execution events.

Best for: Fits when day traders need chart-linked automation and brokerage execution visibility in one workflow.

#3

Sierra Chart

enterprise

Professional charting and trading platform with advanced order routing, custom studies, and market data integration.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Chart-to-order workflow with execution report driven reconciliation in the trade blotter.

Sierra Chart couples chart windows, data feeds, and order routing inside one workstation so traders can place and manage orders while monitoring execution reports and trade blotter details. It supports broker connectivity and integrates with external systems through published interfaces and extensibility points for custom workflows. The historical bars loader, corporate actions adjustments, and data normalization features help keep backtests and intraday charts aligned for instruments that undergo adjustments.

A tradeoff is that Sierra Chart requires configuration discipline because data feeds, symbol mapping, and order settings must be aligned for stable automation behavior. It fits best when day trading workflows demand precise control over execution routing, session handling, and post-trade analysis rather than a highly guided setup flow.

Pros
  • +Chart-linked order management with detailed execution reports
  • +Configurable historical bars loader and corporate actions adjustments
  • +Scripting and automation hooks for repeatable intraday logic
  • +Thorough trade blotter and post-trade analytics support review
Cons
  • –High configuration effort for feeds, symbols, and order settings
  • –Automation can require careful testing during trading-session transitions
  • –Advanced features can overwhelm workflows that need minimal setup
  • –Broker connectivity coverage may require specific account readiness
Use scenarios
  • Active day traders

    Place orders from chart while tracking fills

    Fewer fill surprises

  • Quant strategy traders

    Run intraday automation with repeatable rules

    More consistent execution

Show 1 more scenario
  • High-frequency analysts

    Validate charts against real-time feed behavior

    Faster discrepancy detection

    Data normalization and real-time quote handling support tight alignment between monitoring and trading decisions.

Best for: Fits when intraday traders need chart-driven execution control and deep reporting for fast post-trade review.

#4

DAS Trader

SMB

Direct access trading software with hotkeys, Level 2, and fast order routing for equities day traders.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

DAS Trader’s built-in trigger-driven automation ties trading actions to order and market events inside the same execution flow.

DAS Trader handles day trading workflows by combining order entry with real-time market connectivity and a trade blotter workflow. It supports advanced order types and bracket-style trade structures that help users keep risk logic attached to orders.

Pros
  • +Order entry supports complex order workflows without leaving the trading screen.
  • +Automation options reduce repetitive actions with configurable triggers and scripts.
  • +Trade blotter keeps fills and status updates organized for same-session review.
  • +Execution workflow is designed for high-frequency user interactions and rapid order changes.
Cons
  • –Automation requires careful scripting discipline to avoid unintended order behavior.
  • –Broker connectivity setup can take time when switching between venue endpoints.
  • –Advanced configurations create a learning curve for first-time workflow tuning.
  • –Market data customization options can feel narrow compared with chart-first tools.

Best for: Fits when active traders need tight order workflow control and practical automation on one execution screen.

#5

ATAS

vertical specialist

Order flow and volume analysis platform for futures, stocks, and crypto day trading.

8.1/10
Overall
Features8.1/10
Ease of Use8.0/10
Value8.2/10
Standout feature

Order-flow and depth visualization designed for intraday execution decisions across supported markets.

ATAS processes real-time market data into a trader-facing interface that focuses on order-book and trade-flow visualization for faster discretionary decisions. Charting and execution support are built around active trading workflows, with tools for footprint-style depth views, alerts, and session-aware analysis.

Pros
  • +High-frequency order-book and trade-flow visuals for active execution decisions
  • +Built-in alerting aimed at intraday triggers and event-driven workflows
  • +Extensive layout customization for multi-monitor trading sessions
  • +Automation options for connecting custom logic to the trading workflow
Cons
  • –Automation and scripting require disciplined setup to avoid noisy signals
  • –Advanced depth workflows can take time to learn and tune effectively
  • –Integration depth depends on broker connectivity and gateway configuration
  • –Some scanning-style tasks feel less mature than specialized screeners

Best for: Fits when discretionary day traders need order-flow visualization plus alerts and light automation.

#6

Quantower

SMB

Multi-asset trading platform with advanced DOM, charting, and volume analysis tools.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Terminal-integrated order lifecycle tracking that keeps fills, statuses, and blotter views synchronized during rapid trading.

Quantower executes day-trading workflows by connecting to brokers and routing orders from its charting and trading workspace. Its core loop combines configurable charts, a trading ladder with order management features, and real-time market data handling for fast decision cycles.

Pros
  • +Chart to order workflow keeps execution context visible on the same screen
  • +Flexible broker connectivity supports multiple trading routes in one terminal
  • +Order status reconciliation reduces confusion during rapid edits and cancels
  • +Automation interfaces support strategy and workflow logic beyond manual trading
Cons
  • –Broker connectivity depth varies by destination and can require extra setup
  • –Advanced layouts can take time to standardize across multiple workstations
  • –High-throughput workflows depend on careful attention to connection health
  • –Some institutional controls rely more on the trading environment than built-in RBAC

Best for: Fits when a day trader wants chart-first execution with automation hooks and clear order state visibility.

#7

Bookmap

vertical specialist

Heatmap visualization of limit order book activity for day traders in futures, crypto, and stocks.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

Real-time Bookmap heatmap visualization built from order-book style data to make liquidity shifts readable at a glance.

Bookmap is a day trading software focused on market microstructure visualization using an order book style data model built for fast interpretation. It turns Level II liquidity and trade flow into heatmap-style tools that help traders spot changing supply and demand during the session.

Pros
  • +Real-time liquidity and trade intensity visuals help spot short-term imbalance
  • +Built-in replay supports refining execution decisions against past sessions
  • +Broker connectivity aligns analytics with orders and execution timing
  • +Fast workflows for scanning symbols during active sessions
Cons
  • –Visualization-heavy UI takes practice to interpret quickly
  • –Advanced setups can require careful symbol mapping and data selection
  • –Automation and API extensibility are limited compared with OMS-centric tools
  • –Performance can degrade during high symbol counts and dense sessions

Best for: Fits when microstructure-driven execution needs real-time visuals and replay practice, not full OMS automation.

#8

TrendSpider

SMB

Automated technical analysis platform with multi-timeframe charting, market scanning, and backtesting.

7.2/10
Overall
Features7.2/10
Ease of Use7.3/10
Value7.1/10
Standout feature

Rule-based scans that drive chart-ready setups and annotations so conditions stay consistent between scanning and review.

TrendSpider brings automated technical analysis charting with rule-based scans and trade-ready visuals for day traders who want signal iteration without manual indicator work. The platform combines backtesting-like workflows, multi-timeframe chart studies, and alert-driven watchlists that keep a chart and scanner in sync.

Pros
  • +Automated multi-indicator chart labeling reduces manual chart work
  • +Rule-based scans keep watchlists aligned with defined trade conditions
  • +Pattern and condition targeting across large symbol lists
  • +Fast workflow from scan results to chart review
Cons
  • –Order entry depends on broker connectivity rather than native OMS controls
  • –Custom scan logic can become hard to maintain at high complexity
  • –Trade-state tracking is less detailed than full execution platforms
  • –Limited control over routing behavior compared with dedicated execution stacks

Best for: Fits when technical traders want automated chart workflows and criteria-based scanning before sending orders to a broker.

#9

MetaTrader 5

SMB

Multi-asset retail trading platform supporting algorithmic trading, technical analysis, and multiple order types.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

MQL5 trade automation integrates with backtesting and optimization using the same scripting model.

MetaTrader 5 fits day trading workflows where chart analysis and automated trade logic must share the same symbol context and order lifecycle. Its MQL5 environment provides event-driven automation tied to ticks and trade transactions, plus a backtesting framework that can run optimizations on historical data loaded by the terminal. Day traders get a trade blotter view with execution reports and order status reconciliation based on the terminal feed and broker responses. The platform also supports multi-timeframe charting and indicator-driven strategies through the same scripting stack.

Pros
  • +MQL5 event model enables tick-driven EAs and indicator integration
  • +Built-in strategy tester supports parameter optimization and strategy evaluation
  • +Order and deal history supports post-trade analysis workflows inside terminal
  • +Broker connectivity provides consistent symbol mapping for chart and execution
Cons
  • –External OMS integration usually requires broker-side bridging rather than native APIs
  • –Automation depends on terminal runtime and broker session status handling
  • –Data quality and corporate action adjustments follow the broker’s feeds and symbol specs
  • –Large multi-instrument strategies can hit performance limits on optimization runs
Use scenarios
  • Independent day traders

    Automate entries from chart signals

    Consistent rule-based execution

  • Quantic traders

    Optimize strategy parameters quickly

    Faster research iteration

Show 2 more scenarios
  • Small prop teams

    Run multiple strategies per workstation

    Operational simplicity

    One terminal instance can manage several charts and EAs while preserving shared symbol context.

  • Broker-connected agencies

    Standardize trade workflows across accounts

    Lower process variance

    A common terminal interface keeps order types, execution reports, and deal history aligned.

Best for: Fits when individual traders or small teams run MQL5 strategies tied to broker connectivity.

#10

TradingView

SMB

Cloud-based charting and social trading platform with real-time data, indicators, and broker integration.

6.6/10
Overall
Features6.6/10
Ease of Use6.7/10
Value6.5/10
Standout feature

Pine Script strategies plus alert webhooks let chart conditions drive external automation without building a charting engine.

TradingView is distinct in day trading because its charting and trade planning workflow is built around interactive layouts and cross-chart analysis rather than a full order execution stack. It delivers real-time chart data, technical indicators, alerts, and strategy backtesting on top of a consistent symbol and charting experience.

Pros
  • +Pine Script enables reusable indicators and strategy logic for chart-based workflows
  • +Alert webhooks support automated event handling tied to chart conditions
  • +Interactive watchlists and chart layouts make multi-market review fast
  • +Built-in backtesting and paper trading reduce the loop from idea to test
Cons
  • –Broker execution and order lifecycle control are limited versus dedicated OMS tools
  • –Alert-based automation needs external systems for order routing and reconciliation
  • –Market data normalization across venues can complicate instrument mapping for niche feeds
  • –Strategy testing focuses on chart logic rather than production execution modeling

Best for: Fits when day traders need fast chart-driven analysis, custom indicators, and alert-based automation.

#11

Thinkorswim

enterprise

TD Ameritrade/Schwab trading platform with advanced charting, screeners, and paper trading.

6.3/10
Overall
Features6.3/10
Ease of Use6.2/10
Value6.4/10
Standout feature

thinkorswim custom studies and strategy scripting let traders build reusable intraday indicators and test logic before live use.

Thinkorswim provides charting, quoting, and order entry inside the same interface, which reduces context switching during intraday trading. Advanced chart layouts can combine indicators, custom scripts, and event markers while trade management stays close to the order tickets and positions views. Built-in simulators and strategy testing help validate ideas before risking capital in live sessions. Automated alerting and conditional workflows support routine setups without needing external tooling.

Pros
  • +Deep study and alert customization inside the trading workspace
  • +Multi-tab layout workflow keeps charting and trade actions close together
  • +Integrated paper trading and strategy testing supports pre-trade iteration
  • +Order ticket workflows map well to common intraday trade management
Cons
  • –Feature depth increases setup and indicator-debugging time for new users
  • –Managing many custom studies can slow chart responsiveness on lower-spec systems
  • –Automation still depends heavily on platform scripting and workflow design
  • –Complex order workflows can feel harder to audit during fast markets
Use scenarios
  • Intraday active traders

    Iterate chart indicators before live risk

    Fewer surprises during live trading

  • Options day traders

    Manage multi-leg orders quickly

    Faster execution during volatility

Show 2 more scenarios
  • Quant-curious discretionary traders

    Turn rules into repeatable alerts

    More consistent entry timing

    Alert conditions and scripted indicators support consistent triggers without manual chart scanning each time.

  • Small trading desks

    Standardize watchlists and workflows

    Lower monitoring variance

    Shared layout patterns and saved watchlists support consistent monitoring across active session routines.

Best for: Fits when active traders need chart-heavy workflows and frequent intraday order adjustments in one interface.

Conclusion

After evaluating 11 day trading software, Trade Ideas stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Trade Ideas

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Day Trading Software

Which day trading platforms share symbol context across charting and order entry?
MetaTrader 5 ties automation and execution to the terminal’s symbol context, so strategies, order tickets, and backtesting use the same instrument mapping. Thinkorswim keeps chart layouts, indicators, and order tickets in one interface, which reduces symbol mismatch work during fast session changes.
How do integrations differ when broker connectivity and analytics live in separate tools?
TradingView focuses on analysis and alert-driven workflows, then uses webhooks to trigger external automation rather than acting as a full OMS. Quantower and Sierra Chart connect brokers inside the trading terminal, which keeps order status tracking and blotter views synchronized with the execution path.
When does API availability matter for automation beyond alerts?
Quantower exposes automation hooks and keeps order lifecycle tracking in the same workspace, which supports repeatable workflows tied to fills and statuses. Sierra Chart offers extensibility points for custom workflows, so data routing and reconciliation logic can be built around its execution report flow.
Which tools handle order state tracking with audit-grade visibility inside the terminal?
Quantower provides order state tracking and audit-grade activity visibility in the trading terminal, so fills and statuses remain consistent during rapid execution. DAS Trader emphasizes trigger-driven automation tied to market and order events, which helps keep operational intent aligned with order management controls.
How does data replay work for intraday practice and pattern review?
Bookmap supports replay of market activity, and its order-book style visualization is designed to interpret liquidity shifts during review sessions. ATAS processes real-time market data into depth and order-flow visuals, which suits discretionary practice when alerts and session-aware analysis drive the workflow.
What breaks if symbol mapping and session settings are misaligned for automation?
Sierra Chart requires configuration discipline because data feeds, symbol mapping, and order settings must match for stable automation behavior. ATAS depends on consistent symbol mapping to keep depth views and alerts aligned with the trading workflow, so mapping drift can produce confusing signals.
Where does external execution control fall short compared with terminal-integrated order routing?
MetaTrader 5 centers on its own terminal APIs, so it can feel like a thick client when an OMS already owns smart order routing and execution decisions. TradingView works well as a signaling and chart layer, but it does not replace OMS-style execution controls for order routing governance and message-level workflows.
How do users typically manage risk logic attached to orders?
DAS Trader supports bracket-style trade structures that keep risk logic attached to orders, which reduces the chance of leaving protective orders behind during fast edits. Sierra Chart routes execution with reconciliation in the trade blotter, so risk changes can be reviewed against execution reports as orders transition through states.
Which platforms make it easier to connect scanners to execution workflow instead of running tools in isolation?
Trade Ideas centers on scan-to-watch workflows that route ideas into alerts, charts, and broker-connected review, which keeps the scanning loop connected to downstream action. TrendSpider focuses on rule-based scans and trade-ready visuals, and execution quality depends on the connected brokerage route after signal identification.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Day Trading Software

We find the real differences in how reliably a platform turns market data into orders and manages your trade workflow during fast sessions. In demos, separate tools by Order ticket automation, Charting and studies performance, and Backtesting and paper trading depth.

Order ticket automation controls

Why it matters

Order ticket automation controls determine whether you can express common day-trading workflows consistently without constant manual edits. When rules run correctly, you spend less time re-keying and more time monitoring execution.

How to check

On the demo, open an order ticket and test a typical workflow like attaching exits or changing quantity/price based on a condition. Ask what happens if the condition triggers while you are on another screen or during rapid price movement.

Charting and studies latency

Why it matters

Charting and studies latency affects how quickly signals appear when you act in real time. If studies lag, your decisions use stale visuals even when the trade execution is fine.

How to check

Load a fast-moving watchlist or symbol and apply a couple of common indicators. During a short session playback or live tick simulation, watch how quickly candles update and how quickly study values redraw.

Order routing and execution reliability

Why it matters

Execution reliability is the difference between intended orders and what actually reaches the market. Day trading exposes weak routing behavior, partial fills surprises, or confusing order states.

How to check

Place a sequence of test orders that includes a limit, a market, and a cancel/replace. Verify the order lifecycle states you see in the interface match what you expected and that updates are prompt.

Market data quality for trading decisions

Why it matters

Market data quality for trading decisions impacts whether your signals and risk limits are grounded in accurate prices. If quotes are inconsistent, you can misread momentum or spreads.

How to check

In demo mode, compare the same symbol across charts and the order ticket price fields to spot mismatches. Ask how the platform handles data pauses and whether it clearly marks stale data.

Backtesting and paper trading fidelity

Why it matters

Backtesting and paper trading fidelity shows whether the software models fills and timing closely enough for day-trading styles. If it only looks good in hindsight, results may not transfer to live trading.

How to check

Run a simple strategy test and then try a similar workflow in paper trading. Check whether you can inspect trade timing, rejects, and how fills are simulated for limit orders.

Audit log and trade export workflow

Why it matters

Audit log and trade export workflow helps you reconcile what you did with what happened. For day trading, you want a trace you can export and review quickly after volatile sessions.

How to check

After placing several test orders, locate the session history and confirm it records order changes and outcomes in a reviewable timeline. Try exporting the session to a common format and ensure key fields you care about are included.

Red flags

  • Chart updates lag while order states change normally
  • Order ticket automation behaves inconsistently with cancels or replacements
  • Paper trading outcomes don’t let you explain fills or timing

Fit by situation

  • If you rely on frequent cancel/replace during volatile moments, prioritize Order ticket automation controls.
  • If your edge comes from fast indicators and rapid chart reactions, prioritize Charting and studies latency.
  • If you want to validate a strategy before going live, prioritize Backtesting and paper trading fidelity.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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