GITNUXSOFTWARE ADVICE
Finance Financial ServicesTop 10 Best Practice Stock Trading Software of 2026
Top 10 practice stock trading software ranked by paper trading tools, broker access, and APIs for strategy testing, including TradingView Paper Trading.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
MarketWatch Virtual Stock Exchange is the most straightforward practice pick for individuals who want a simple virtual brokerage workflow tied to market news and contest play, whereas Webull Paper Trading is a better alternative when you need broker-like order execution practice in a small-team environment.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
MarketWatch Virtual Stock Exchange
MarketWatch leaderboard-style peer benchmarking driven by the same virtual portfolio ledger used for trades.
Built for fits when individuals need a simple virtual brokerage workflow and leaderboard-based practice..
Webull Paper Trading
Editor pickPaper brokerage order execution and account tracking mirror Webull’s live workflow with an integrated trade blotter.
Built for fits when individuals or small teams practice order execution under live-like conditions without building a custom simulator..
TradingView
Editor pickPine-script strategy execution inside Paper Trading connects chart signals to simulated order placement.
Built for fits when strategy authors need chart-based paper execution and scripted automation without building simulation infrastructure..
Comparison Table
MarketWatch Virtual Stock Exchange
education and simulationWeb-based stock market simulator tied to market news and contest play.
MarketWatch leaderboard-style peer benchmarking driven by the same virtual portfolio ledger used for trades.
MarketWatch Virtual Stock Exchange records trades into a virtual portfolio ledger and shows performance summaries tied to those paper positions. The interface supports placing simulated orders, reviewing execution history through a trade blotter, and monitoring holdings over time. The environment is oriented toward retail-style paper brokerage use, so it emphasizes filled trades and portfolio accounting rather than developer-first automation.
The main tradeoff is limited automation depth because the product experience is built around a user-driven virtual account rather than an API-first strategy sandbox. It fits best when testing ideas manually against current market conditions, then comparing results to peers through the site’s leaderboard views and performance reporting. Teams can still use it for teaching and execution practice, but it is less suitable for batch backtesting, scripted strategy runs, or integration into a CI testing pipeline.
- +Paper brokerage account UI with clear holdings and trade history
- +Performance and leaderboard views help benchmark results against peers
- +Straightforward order placement workflow for manual strategy practice
- +MarketWatch content context supports learning tied to market coverage
- –No documented paper trading API surface for scripted strategy testing
- –Limited support for advanced execution modeling beyond standard fills
Individual traders and students
Practice order placement and track outcomes
Repeatable execution practice
Strategy teachers and coaches
Run class portfolio contests
Structured teaching activity
Show 1 more scenario
Trading teams evaluating ideas
Validate decisions before paper automation
Lower execution risk
Place manual simulated orders to check trade logic against current market moves.
Best for: Fits when individuals need a simple virtual brokerage workflow and leaderboard-based practice.
Webull Paper Trading
broker simulatorBroker platform that offers simulated stock and options trading.
Paper brokerage order execution and account tracking mirror Webull’s live workflow with an integrated trade blotter.
Webull Paper Trading gives a paper brokerage account that routes orders through a simulated execution flow and maintains a paper portfolio ledger for positions, cash, and realized results. The interface includes a trade blotter and monitoring views that help track fills and account changes while orders are working. Charting and market views follow the same layout style as Webull’s live trading experience, which reduces the training gap for users already familiar with order tickets and watchlists.
A key tradeoff is the limited emphasis on controlled market replay controls such as historical timeline scrubbing or deterministic fill modeling that can be repeated with the same tick path. This makes the simulator most useful for practicing order types and order routing logic in a live-like session, not for building a rigorous backtesting engine with latency simulation. A common usage situation is validating execution behavior like stop and limit handling during volatile intraday sessions using paper equity or options trades.
- +Uses Webull order ticket flow for paper execution practice
- +Paper portfolio ledger and trade blotter keep results traceable
- +Works from web and mobile for session-based trading drills
- +Simulated execution supports common equity and options orders
- –Paper simulation is weaker for deterministic historical replay
- –Strategy automation and external paper trading API access are limited
- –Execution quality metrics and attribution depth are not granular
- –Tick-level repeatability is harder than in dedicated backtest tools
Individual traders
Practice stop and limit execution
Fewer execution mistakes in live trading
Options traders
Rehearse spreads and exits
Cleaner bracket and exit handling
Show 1 more scenario
Small trading teams
Run intraday procedure drills
More consistent decision workflows
Teams can rehearse routine watchlist actions and order placement during market hours using paper execution.
Best for: Fits when individuals or small teams practice order execution under live-like conditions without building a custom simulator.
TradingView
retail trading platformCharting platform with integrated paper trading and broker simulation.
Pine-script strategy execution inside Paper Trading connects chart signals to simulated order placement.
TradingView’s chart-first workflow makes it practical to iterate on strategy logic by editing Pine scripts and applying them to the same symbols and chart settings used for paper trading. Paper Trading provides a dedicated paper brokerage account, order execution simulation, and a trade blotter that tracks fills against the simulated portfolio. Backtesting covers historical evaluation, while the paper brokerage workflow focuses on forward simulation using the same market data subscription model used for charting.
A key tradeoff is that TradingView’s paper fills prioritize usability and script-driven automation over detailed exchange-level controls like explicit FIX protocol simulation or FIX session tuning. Paper Trading fits best when a team wants strategy sandbox iterations and chart-based validation without building a separate simulated order matching engine or connecting a custom integration layer. It also works well when historical backtests already show promise and forward testing needs consistent symbol setup and repeatable order logic.
- +Chart-centric workflow keeps strategy iteration and paper orders in one place
- +Scripted automation runs paper entries and exits from the same strategy codebase
- +Trade blotter and paper portfolio views support fast result inspection
- +Broad market coverage lets testing use consistent symbol settings
- –Paper fills abstract away low-level exchange behavior details
- –Advanced execution modeling controls are limited compared with custom simulation stacks
Quant researchers in strategy teams
Forward-test new Pine strategy logic
Validate execution behavior end-to-end
Traders validating signal robustness
Test discretionary rules with paper orders
Check consistency across symbols
Show 1 more scenario
Backtest-to-live transition teams
Bridge from historical results to paper execution
Reduce transition risk
Use the same strategy settings for historical study and forward paper monitoring.
Best for: Fits when strategy authors need chart-based paper execution and scripted automation without building simulation infrastructure.
eToro Virtual Portfolio
social trading platformSocial investing platform with a virtual portfolio for simulated trading.
Virtual Portfolio runs inside the eToro account experience, keeping paper and watchlist behaviors consistent across sessions.
eToro Virtual Portfolio provides a practice stock trading account tied to the eToro account workflow, which makes it easier to keep watchlists, holdings views, and order placement patterns consistent. Simulated trading lets users place virtual orders and track a paper portfolio ledger without routing risk to a real brokerage.
The experience is best for strategy rehearsal around market moves rather than for deep execution testing with controllable fill simulation. Its main limitation for serious automation is the lack of a documented paper trading API or sandbox integration surface for external strategy engines.
- +Uses the same account workflow as live eToro trading
- +Paper portfolio ledger updates for virtual positions and cash
- +Trade blotter style history for virtual orders and fills
- +Fast UI loop for testing ideas with minimal setup
- –No documented paper trading API for external strategy automation
- –Limited execution modeling compared with broker-grade simulations
- –Virtual fills do not support parameterized slippage or latency simulation
- –RBAC and audit log controls are not exposed for admin governance
Best for: Fits when individuals want UI-based paper trading practice with minimal integration needs.
Investopedia Simulator
education and simulationPaper trading simulator linked to investing education and market terminology.
Trade blotter-linked paper portfolio updates connect simulated fills to holdings and performance tracking inside one workflow.
Investopedia Simulator provides a paper brokerage account experience built around interactive watchlists, simulated order entry, and a trade blotter for paper positions. It supports historical market data replay across common bar-based views and is designed for practicing execution workflows without sending orders to a live exchange.
The interface focuses on order types and portfolio tracking so trades update holdings, cash, and realized results in the simulated ledger. Its value is more practice-oriented than API extensibility oriented, which limits direct automation for strategy testing.
- +Paper account workflow updates positions, cash, and a trade blotter in one place
- +Order entry and basic order type practice fit repeat training runs
- +Watchlists and simulated holdings make it easy to track outcomes
- +Bar-based historical replay supports practicing chart-to-trade timing
- –Limited evidence of strategy sandboxes or automated backtest-to-paper handoff
- –No clear public paper trading API for programmatic order routing and execution tests
- –Fill simulation depth is harder to validate against tick-level behavior
- –Multi-venue simulation and order routing logic are not exposed for governance-grade testing
Best for: Fits when individuals or small teams need repeatable order-entry practice with portfolio tracking and a visible blotter.
TC2000
charting and brokerage platformCharting and trading software with simulated trading support for strategy practice.
Chart-linked order tickets let practice trades be staged and reviewed in the same visual workflow.
TC2000 combines scanning, charting, and order entry into one interface, which supports disciplined paper trade practice when strategy logic is still evolving.
The simulation experience depends on workflow choices and manual review rather than a programmable execution sandbox for strategies.
- +Chart-driven order entry supports fast iterative practice without leaving the workspace
- +Watchlist and scan workflow helps generate repeatable trade candidates for simulation
- +Tightly integrated market data subscriptions reduce context switching during review
- +Order tickets and trade history make it straightforward to audit what was entered
- –Practice trading automation is limited compared with strategy-run sandbox tools
- –No clearly documented paper trading API limits external backtest-to-paper pipelines
- –Simulated fill behavior stays generic, which limits slippage and latency modeling
- –Governance controls for teams like RBAC and audit logs are not a focal area
Best for: Fits when individual traders want chart-first practice workflows and manual post-trade review.
Moomoo Paper Trading
broker simulatorBroker app with paper trading for stocks and options in a retail trading interface.
Trade and position ledger style tracking tied to paper fills supports iterative strategy testing with consistent reconciliation.
Moomoo Paper Trading pairs a paper brokerage account experience with order simulation that mirrors how trades would behave in live markets. It focuses on realistic execution through a simulated order matching engine and detailed position and trade blotter tracking.
Market data subscriptions support strategy testing workflows that require repeatable fills instead of just charting. Automation is available through its paper trading API surface for strategy sandbox style experimentation.
- +Paper brokerage account workflow keeps orders, fills, and positions in one view
- +Simulated order matching engine supports execution testing beyond chart-only signals
- +Paper trading API enables external strategy testing and automated order placement
- +Trade blotter records fills clearly for later analysis
- –Paper trading setup requires careful mapping of orders to supported order types
- –Execution quality metrics and latency simulation tools are limited compared with specialized test harnesses
Best for: Fits when strategy authors need a broker-like paper account plus an API for execution-focused tests.
TradeStation
enterpriseMulti-asset trading platform with integrated paper trading and strategy testing capabilities.
EasyLanguage strategy workflow integrated into paper trading so executions and performance update after code changes.
TradeStation is a practice trading solution built around its EasyLanguage strategy workflow and order routing simulation. Paper trading in TradeStation uses its brokerage-grade charting and execution model so strategies can be tested with realistic order handling and fills.
The tool also supports automation via a documented development surface, so strategy logic can be validated repeatedly inside a strategy sandbox. TradeStation’s simulated trading workflow produces a trade blotter and performance outputs that map to execution and risk analysis for iterative refinement.
- +EasyLanguage-to-paper workflow keeps strategy changes tied to execution outcomes
- +Brokerage-style order handling logic improves fill realism for paper sessions
- +High-fidelity charting supports rapid diagnosis of trade timing and decisions
- +Automation-friendly strategy testing fits repeatable, scripted strategy runs
- –Paper testing depends on correct symbol subscriptions and market data availability
- –Governance for shared strategy access and change control requires extra process
- –Backtest and paper results can diverge without consistent execution assumptions
- –Advanced paper portfolio tracking needs careful position and order state monitoring
Best for: Fits when strategy developers need a repeatable paper brokerage workflow with EasyLanguage execution behavior.
TradingSim
vertical specialistReplay-based trading simulator that lets users practice on historical market data.
Trade blotter plus portfolio ledger reconciliation provides execution-focused session review, not just chart replay.
TradingSim provides a practice stock trading environment focused on paper brokerage workflows and execution practice. It supports simulated order placement tied to market data, with a trade blotter and portfolio tracking suitable for daily iteration.
The system also includes strategy-style testing support with repeatable runs so outcomes can be compared across sessions. Execution outcomes emphasize fill simulation and order handling behavior instead of chart-only replay.
- +Paper trading workflow that pairs orders with a usable trade blotter view
- +Fill simulation logic supports practice of limit and market order execution behavior
- +Portfolio ledger tracking helps reconcile positions after fills and partial executions
- +Repeatable test sessions support regression-style evaluation of execution outcomes
- –Automation and API coverage is limited compared with products offering a dedicated paper trading API
- –Historical replay fidelity depends on available tick data feed granularity and timing
- –Multi-venue behavior and routing logic coverage may be thinner than broker-integrated sims
- –Strategy sandbox features can require extra manual setup for consistent test conditions
Best for: Fits when teams need paper trading that emphasizes execution practice and ledger-based reconciliation without heavy integration work.
QuantConnect
API-firstCloud-based algorithmic trading platform with backtesting and paper trading engine.
Lean engine runs the same algorithm across backtesting and paper trading with shared brokerage and execution semantics.
QuantConnect is a practice stock trading environment for algorithmic strategies, with a research-to-execution workflow built around its Lean engine. It supports historical market data replay for backtesting and a paper brokerage account for simulated order execution, including configurable fill and execution assumptions.
The system exposes a strategy sandbox via a code API so the same algorithm logic can run across backtests and paper trading. QuantConnect also provides event-driven data subscription and account and portfolio state management for tracking trades and performance metrics.
- +Single Lean codebase runs through backtesting and paper trading
- +Event-driven strategy API supports fine-grained order and portfolio state control
- +Paper portfolio ledger produces an actionable trade blotter for evaluation
- +Historical data replay enables repeatable tests across market regimes
- –Advanced configuration can become time-consuming for order execution assumptions
- –Paper execution fidelity gaps can appear for complex order types and edge cases
Best for: Fits when a coding team needs reproducible tests and paper execution for strategy iteration.
Conclusion
After evaluating 10 finance financial services, MarketWatch Virtual Stock Exchange 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.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right practice stock trading software
Practice stock trading software turns simulated capital into repeatable trade sessions that track orders, fills, and portfolio state without routing anything to real broker accounts. This guide covers MarketWatch Virtual Stock Exchange, Webull Paper Trading, TradingView, eToro Virtual Portfolio, and other practice platforms that support different workflows for entering paper orders and reviewing results.
The tools covered here differ most in how they connect practice execution to chart signals, broker-style order tickets, and ledger-based reconciliation. The list also considers which platforms provide automation and API surface for scripted testing versus which platforms stay centered on a paper brokerage UI.
Practice stock trading software for paper accounts, simulated execution, and strategy test cycles
Practice stock trading software provides a paper brokerage account experience that records paper orders and translates them into simulated fills, then updates a paper portfolio ledger and trade blotter. It can run purely UI-driven sessions like Webull Paper Trading and eToro Virtual Portfolio, or connect strategy logic to paper execution like TradingView Paper Trading with Pine Script.
These platforms vary in how realistic their simulated order handling feels and how strictly results stay traceable across orders and positions. Some tools focus on execution-focused reconciliation with a trade blotter and ledger updates like TradingSim, while others emphasize coding workflows that reuse the same algorithm interface for backtesting and paper trading like QuantConnect.
Practice-trading criteria that determine execution realism and traceability
Practice stock trading software has to record simulated orders, convert them into simulated fills, and then keep a paper portfolio ledger and trade blotter synchronized across sessions. Without that ledger-to-blotter link, performance attribution turns into a manual reconciliation task instead of a repeatable review workflow.
The most differentiating capabilities concentrate in how a platform maps strategy signals or order tickets to a simulated order matching engine, and how much control it exposes for automation and API-driven testing. Tools that connect automation to paper execution reduce the gap between code-based intent and what the simulated brokerage actually fills.
Paper brokerage UI that maintains holdings through fills
MarketWatch Virtual Stock Exchange keeps holdings and trade history aligned to a single virtual portfolio ledger, which supports leaderboard-style benchmarking off the same practice ledger. Investopedia Simulator links its trade blotter and paper portfolio updates so each simulated fill changes cash and positions in the same workflow.
Strategy-to-order execution workflow inside the same environment
TradingView connects Pine-script strategy execution to Paper Trading so chart signals and paper order placement share the same strategy codebase. TC2000 stages practice orders through chart-linked order tickets so manual entry and visual review stay in one workspace.
Deterministic execution testing via scriptable paper trading surfaces
QuantConnect runs the Lean engine through backtesting and paper trading with shared brokerage and execution semantics, which supports reproducible strategy iteration under an event-driven strategy API. Moomoo Paper Trading targets execution-focused tests with broker-like order execution tracked by its paper brokerage account workflow and ledger-style tracking tied to paper fills.
Execution fidelity controls and limits for order types simulation
TradingSim supports execution-focused session review by pairing a trade blotter with portfolio ledger reconciliation and fill simulation for practice limit and market behavior. QuantConnect can show fidelity gaps for complex order types and edge cases, which matters if strategies rely on advanced order behavior.
Session review depth that separates chart replay from execution practice
TradingSim emphasizes ledger reconciliation and blotter-driven session review rather than chart-only replay, which supports execution practice as the primary artifact. Webull Paper Trading mirrors the Webull live order ticket flow for paper executions and maintains a paper trade blotter for traceable results.
Select based on the practice workflow philosophy that matches the testing goal
Practice trading software choices break down into three workflow philosophies: broker-style UI practice, chart-anchored strategy execution, and code-centric execution testing with shared semantics. The wrong philosophy creates a mismatch between how orders are expressed and how fills are simulated.
Automation depth and governance controls determine whether the platform can run strategy sandboxes across symbols and sessions with repeatable configuration. Choose tools that expose automation where testing needs it, and avoid tools that only provide UI practice when programmatic order routing and execution testing is required.
Choose the execution workflow that matches how strategies generate orders
If strategies generate orders from chart signals, TradingView Paper Trading keeps Pine-script strategy execution and simulated order placement in one chart-centric workflow. If the objective is manual order execution practice with broker-style tickets, Webull Paper Trading and eToro Virtual Portfolio keep paper and watchlist behavior consistent with their account experiences.
Decide whether backtest-to-paper must reuse the same algorithm interface
If reproducibility across backtesting and paper trading matters, QuantConnect runs a single Lean codebase through both modes so the same algorithm executes with shared brokerage and execution semantics. If order intent is expressed through broker-style order entry instead of code reuse, Investopedia Simulator and TradingSim focus on blotter-linked portfolio updates tied to practice fills.
Verify how much execution modeling control exists for the order types used
If execution realism must include practice of limit versus market behavior, TradingSim explicitly targets fill simulation for limit and market execution practice. If deterministic historical replay and low-level exchange behavior are the priority, TradingView’s paper fills abstract away low-level exchange behavior details and Webull’s deterministic replay is described as weaker.
Check for automation and API surface when testing needs scripted strategy runs
If code needs an execution sandbox with event-driven control, QuantConnect’s event-driven strategy API supports fine-grained order and portfolio state control. If automation is not required and UI-based practice is enough, MarketWatch Virtual Stock Exchange focuses on a leaderboard-style practice experience using its virtual portfolio ledger.
Confirm symbol and market data dependencies for repeatable paper sessions
If paper testing depends on correct symbol subscriptions and available market data, TradeStation requires setup process around subscriptions and market data availability. If the testing goal is execution-focused practice without heavy integration work, TradingSim pairs orders with a usable trade blotter and emphasizes reconciliation for session review.
Who practice stock trading software fits best
Practice stock trading software fits teams and individuals who need simulated orders, simulated fills, and a paper portfolio ledger that stays consistent with a trade blotter. The fit depends on whether the testing workflow is UI-based, chart-driven, or code-driven.
The strongest matches come from tool-specific alignment between order entry style and execution simulation depth. Users also need to match the platform’s automation surface to whether strategy iteration runs manually or through scripted strategy sandboxes.
Individuals who want a leaderboard-style practice brokerage experience without coding
MarketWatch Virtual Stock Exchange provides paper brokerage account UI with clear holdings and trade history plus performance and leaderboard views that benchmark results against peers off the same virtual portfolio ledger.
Strategy authors who want chart signals to place paper orders from the same script
TradingView Paper Trading keeps Pine-script strategy execution tied to simulated order placement so strategy authors iterate on entries and exits inside one chart-centric workflow.
Coding teams that need reproducible backtest-to-paper execution semantics
QuantConnect runs the Lean engine through backtesting and paper trading using shared brokerage and execution semantics and exposes an event-driven strategy API for order and portfolio state control.
Users who want broker-style paper order tickets with traceable blotter entries
Webull Paper Trading mirrors the Webull live order ticket flow for paper execution practice and keeps results traceable through a paper portfolio ledger and trade blotter.
Execution-focused testers who prioritize blotter reconciliation over chart replay
TradingSim emphasizes trade blotter plus portfolio ledger reconciliation so practice sessions center on execution practice and fill simulation rather than chart-only replay.
Common practice-trading mistakes that break execution testing
Practice stock trading errors usually happen when the workflow artifact used for evaluation does not match the simulation artifact produced by the paper order matching engine. Another failure mode appears when the platform supports paper trading but lacks automation or API coverage for the testing approach.
These mistakes become expensive in time because results do not map cleanly to the strategy intent that generated orders. The fixes come from checking execution modeling limits, ensuring ledger reconciliation, and confirming that automation paths exist for the testing pipeline.
Treating chart signals as a proxy for low-level execution behavior without checking fill realism
TradingView’s paper fills abstract away low-level exchange behavior details, so strategies that rely on exchange behavior should be validated with tools that provide deeper execution testing like Moomoo Paper Trading or TradingSim.
Building an automation pipeline around a platform that stays centered on UI paper trading
MarketWatch Virtual Stock Exchange and eToro Virtual Portfolio both lack a documented paper trading API surface for scripted strategy testing, so automation-heavy strategy sandboxes should be planned around platforms like QuantConnect or TradingView depending on the strategy execution model needed.
Assuming backtest and paper will reuse the same execution semantics without verifying engine sharing
QuantConnect is designed to reuse the same Lean codebase across backtesting and paper trading, while other tools may keep backtesting separate from paper execution semantics such as TC2000’s emphasis on chart-linked order tickets.
Ignoring order type support and mapping discipline for paper execution tests
Moomoo Paper Trading needs careful mapping of orders to supported order types, so execution tests should include each strategy’s order types and validate fills in the paper trade blotter before relying on performance results.
How We Selected and Ranked These Tools
We evaluated paper trading tools on integration depth, simulated order execution traceability through a paper portfolio ledger and trade blotter, and automation and API surface for scripted strategy testing. Features received 40% of the score and ease and value each received 30%.
We weighted tools with clear practice order execution workflows and traceable reconciliation higher when the workflow connected strategy logic to paper fills. MarketWatch Virtual Stock Exchange separated itself with a leaderboard-style peer benchmarking experience driven by the same virtual portfolio ledger used for trades, which ties practice outcomes to a single ledger artifact.
Frequently Asked Questions About practice stock trading software
How does TradingView’s Pine-script paper trading compare with QuantConnect’s Lean-based paper execution?
Which tools offer an API or automation surface for practice strategy sandbox workflows?
When does MarketWatch Virtual Stock Exchange fit practice goals versus TradingSim or Investopedia Simulator?
What breaks if a practice strategy needs configurable fill simulation rather than chart-only signals?
How do paper portfolio ledgers and trade blotters differ between Webull Paper Trading and TradingSim?
Where does eToro Virtual Portfolio fall short for automated testing and external strategy engines?
How should teams handle data migration when moving from chart-based practice into code-driven platforms?
What security and identity controls matter for practice environments with real brokerage connectivity?
Which tool supports the closest execution-focused workflow for teams that need session-to-session comparability?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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