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TC2000 58-Point Lab Test, Audit & Benchmarks 2026

    Our 58-point scientific TC2000 lab test, audit, and benchmarking include speed, accuracy, value, and feature depth with data-driven precision.

    TC2000 is a desktop-first trading platform that’s built around one core promise: reduce friction between idea → scan → chart → decision → execution.

    In my lab benchmarks across 17 categories, it earns a Composite Lab Performance Score of 4.27, slightly above the Median competitor (4.21). That headline score is driven by strong scanning, excellent multi-chart performance, reliable alerts, and best-in-class support responsiveness—while it materially underperforms the benchmark field on true strategy backtesting and AI/algorithmic layers.

    Composite Lab Performance Score

    The Composite Lab Performance Score (CLPS) is my “roll-up” metric: it summarizes how well a platform performs across the full set of categories a trader typically relies on—charting, scanning, alerts, automation pathways, broker connectivity, support, and more. In practice, CLPS is a proxy for how often a tool helps (or slows) you during real trading weeks, not just feature checklists.

    TC2000 scores 4.27, slightly above the Median competitor (4.21) and within striking distance of the best-in-class ceiling (4.75). What holds TC2000 back from the very top isn’t trading usability—it’s the research engine behind systematic testing and AI/algo tooling.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Composite Lab Performance Score (CLPS)Overall benchmark outcomeAvg of all ratings + 5× superpower boost4.274.754.212.90TradingView

    In Context: My audit notes consistently describe TC2000 as a platform that feels “built for trading,” not “built for experimentation.” If you spend most of your time acting on setups (rather than building new models), that design bias can be a net advantage.

    Best for: active traders who need fast charting + scanning + execution flow.
    Not ideal for: traders whose edge is built on heavy strategy simulation and iterative backtests.
    Pair it with: a dedicated backtesting/quant tool if you’re strategy-first.

    TC2000 Benchmarked Lab Scores

    If you’re deciding whether TC2000 fits your trading style, the key is to match the tool to your workflow: TC2000 is engineered for active, decision-heavy trading (where speed and clarity matter), not research-heavy systematic strategy development.


    TC2000 is a high-performance trading workstation built for traders who care about speed, scanning depth, clean execution workflows, dependable alerting, and operational reliability. If you’re discretionary and active—especially running multiple charts and scans—TC2000’s strengths show up every trading day. If your trading style depends on systematic backtesting or AI-driven strategy generation, TC2000 should be your “front-end execution and scanning platform,” paired with a dedicated research engine for strategy validation.

    Reasons to Consider TC2000

    • Fast, low-friction trading workflow: Strong Speed & Ease of Use (4.25) with elite multi-chart responsiveness (10ms sync).
    • Scanner-first capability: High Scanning Performance (4.32) with strong criteria depth and fast scan latency.
    • Practical, scalable alerting: Alert Speed (4.00) supports active monitoring with meaningful capacity and delivery options.
    • Best-in-class support responsiveness: Support Infrastructure (5.00) reduces operational risk for active traders.

    Reasons to Avoid / Pair With Another Tool

    • Backtesting is a major gap: Backtesting Performance is 0.00 vs Median 3.38. If strategy simulation is central, pair with Portfolio123 / TrendSpider / Trade Ideas.
    • Pattern automation is not a leader: Chart Pattern Depth & Accuracy (2.58) is slightly below Median; pair with a pattern-discovery leader if you rely on automated patterns.
    • AI layer is minimal: AI & Algo Index (1.50) reflects deterministic logic rather than AI-native discovery; pair with AI-forward tooling if that’s part of your edge.

    Pricing & Value Index

    This category is not about “cheap vs expensive.” It’s about cost efficiency—what you pay relative to feature coverage and what an average competitor delivers at a similar spend. Pricing & Value Index is anchored by the effective monthly cost (EMC) and the “$ per feature” efficiency, then summarized via a percentile ranking score.

    TC2000 lands exactly on the Median: 2.50. That means it’s neither a bargain leader nor an outlier premium on a per-feature basis. The practical reader takeaway is simple: you buy TC2000 for workflow and speed, not because it’s the lowest cost way to cover every feature category.

    MetricWhat It MeasuresCalculationTC2000HighMedianLowCategory Winner
    Pricing & Value Index RatingRelative cost efficiencyEMC/Total Features percentile2.505.002.501.00TOS, MetaTrader
    Cost-per-dayDaily cost baseline$/day on annual plan (min viable + data)$1.97$12.36$1.97$0.50ChartMill
    $ per featureCost efficiencyEffective Monthly Cost / Total Features$4.29$28.92$4.29$0.00Stock Rover
    Effective Monthly Cost (EMC)True monthly costPlan + data + required add-ons / month$60.00$376.00$60.00$0.00AAII

    In Context: My audit notes point to TC2000’s “value” being realized only when you actually use its strengths: scanning, multi-chart workflows, and execution. If you’re mostly doing light research and occasional chart checks, you can often get comparable value for less.

    Best for: traders who will actively use scanning, alerts, and execution features on a weekly basis. Additionally, if you choose TC2000 Brokerage for trading, you get TC2000 for free.
    Not ideal for: casual investors who want maximum research breadth at minimum cost.


    Value Score (VP)

    Value Score (VP) answers a different question than pricing: “How good is the product relative to what it offers?” It weights Feature Quality (60%), Feature Depth (30%), and Device Support (10%). This is important because many tools look “feature-rich” but don’t deliver consistent quality, depth, or usability.

    TC2000’s VP is 3.39, comfortably above the Median competitor (2.82). That’s what you want to see in a platform you’ll use during active market hours: strong enough product quality that you’re not fighting the interface or second-guessing tool stability.

    MetricWhat It MeasuresCalculationTC2000HighMedianLowCategory Winner
    Value Score (VP)Overall product value60% Quality + 30% Depth + 10% Device3.394.372.821.70TradingView
    Value RankRelative standingPercentile ranking3.755.002.501.00TradingView
    Feature Quality“How well it works”Avg of feature-quality ratings2.944.162.972.00TrendSpider
    Feature BreadthFeature coverageCount of meaningful core features1417129TradingView, Trade Ideas
    Feature DepthCapability depthPercentile ranking3.754.753.001.00TradingView, Trade Ideas
    Device Support DepthCross-device utilityWeb/PC/iOS/Android points5.005.002.001.00TradingView, TC2000

    In Context: My audit notes describe TC2000 as a tool that “stays out of your way.” That matters if your trading plan requires you to move quickly: a platform can be brilliant on paper and still be a poor value if it adds friction or stalls at the wrong time.

    Best for: discretionary traders who want a reliable toolset and a stable UI.
    Not ideal for: traders who need deep AI features or heavy research tooling in one platform.


    Speed & Ease of Use

    This category measures how quickly you can get to a decision-ready chart and maintain responsiveness across multiple charts—the real “cost” of software isn’t subscription price, it’s the delay and friction it introduces during time-sensitive moments.

    TC2000 scores 4.25, beating the Median competitor (3.75). The most meaningful datapoint for active traders is multi-chart latency: TC2000 is effectively at the benchmark floor for sync delay (10ms), which is exactly what you want when you run 4+ charts and expect the platform to feel “local.”

    MetricWhat It MeasuresCalculationTC2000HighMedianLowCategory Winner
    Speed & Use Index RatingPractical speed/usabilityAvg of 3 sub-scores4.255.003.752.50TradingView, Seeking Alpha
    Time to Chart Speed (Seconds)Time to usable chartClick → loaded chart + indicators7.30s17.03s4.70s1.60sTradingView
    Time to Chart PerformanceSpeed pointsThreshold scoring4.505.004.503.00TradingView, TrendSpider, Trade Ideas
    Multi-Chart Latency (ms)Multi-chart sync delayDelay syncing 4 charts10ms667ms209ms10msTC2000
    Multimonitor Chart SpeedLatency pointsThreshold scoring5.005.003.500.00TradingView, TC2000, eSignal
    3-Click Rule TestWorkflow frictionClicks to trade/launch scan3632TradingView, TrendSpider, Finviz
    3 Click Rule: Ease of UseFriction scorePenalty beyond 3 clicks3.255.003.250.30Multiple tools (tie)

    In Context: My audit notes call TC2000 the “gold standard” for native responsiveness once running. For the reader, this matters most if you trade breakouts, momentum, or fast intraday setups—where the platform’s feel can influence entries and discipline.

    Best for: multi-monitor traders and intraday workflows.
    Not ideal for: web-first traders who rarely run complex chart layouts.


    Chart Analysis Depth Index

    Chart depth isn’t just “how many chart types exist.” It’s a blend of (1) chart-type variety, (2) indicator library depth, and (3) whether you can extend the platform with custom logic. The reason this matters is simple: technical traders evolve, and you want a platform that can support new methods without forcing a migration.

    TC2000 scores 3.78, above the Median (3.17). It doesn’t lead on chart-type count (it’s not trying to), but it performs strongly on indicator depth and custom coding availability.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Chart Analysis Depth IndexOverall charting depthAvg chart + indicators + coding3.785.003.170.50TradingView
    Chart TypesChart varietyTotal count738101Optuma
    Chart DepthChart variety score0.3 points per chart2.105.003.000.30TradingView, eSignal, Optuma
    IndicatorsBuilt-in indicatorsTotal count1704001160TradingView, TOS
    Indicator DepthIndicator score0.025 points per indicator4.255.002.900.00TradingView, MetaStock, Stock Rover
    Custom Indicator CodingExtendabilityAvailable = 5 points5.005.002.500.00TradingView, TrendSpider, Trade Ideas, TC2000

    In Context: My audit notes describe TC2000 as “deterministic and stable”—great for traders who want consistent charting plus the ability to write formulas without living inside a complex scripting ecosystem.

    Best for: technical traders who want strong indicators + custom logic in a fast UI.
    Not ideal for: traders who want maximum chart-type experimentation and novelty.


    Chart Pattern Depth & Accuracy

    Automated pattern recognition is only valuable when it does two things: covers enough patterns to matter and stays accurate enough that traders trust it. Many traders abandon pattern engines because they generate noise, over-trigger, or miss context.

    TC2000 scores 2.58, slightly below the Median (2.73). The story here is not accuracy—TC2000’s accuracy score is solid (90%)—it’s breadth: the platform’s pattern library is relatively small and especially limited on trend/price patterns in this benchmark set.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Pattern Recognition Efficacy & AccuracyOverall pattern automationAvg depth + accuracy2.584.882.730.00TrendSpider
    Total PatternsPattern breadthCount of patterns recognized2022657.50TrendSpider
    Pattern Recognition DepthBreadth score0.33 points per pattern0.665.001.900.00TrendSpider
    Candle Patterns RecognizedCandlestick setCount20172200TrendSpider
    Chart Price & Trend Patterns RecognizedTrend/price patternsCount054160TrendSpider
    AccuracyCorrectnessPercent accurate90%95%89%0%TradingView, TrendSpider, Trade Ideas, MetaStock (tie)
    Pattern Recognition AccuracyAccuracy points0.05 per % accurate4.504.754.480.00TradingView, TrendSpider, Trade Ideas, MetaStock (tie)

    In Context: My audit notes align with the numbers: TC2000 is more “scan logic + visual confirmation” than “automated discovery.” If you already know what you’re looking for, that’s fine. If you want the tool to proactively surface patterns, it’s not a leader.

    Best for: traders who scan conditions and confirm patterns visually.
    Not ideal for: traders who want automated pattern discovery to drive their watchlist.


    Scanning Performance

    Scanning is where many traders win or lose time. A scanner needs two things: speed (so it updates when the market changes) and depth (so you can express your strategy conditions). A scanner that’s fast but shallow is a toy; a scanner that’s deep but slow is frustrating.

    TC2000 scores 4.32 vs the Median (3.38). The key datapoints: strong raw scan speed (157ms) and high-quality criteria depth (276 criteria) with custom-code scanning supported.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Market Scanning Latency & DepthOverall scanning capabilityAvg speed + criteria + code4.325.003.380.80Stock Rover
    Scanner Performance (ms)Raw scan timeS&P 500 across 5 criteria157ms2500ms300ms7msTradingView
    Scanning Speed (Points)Speed scoreThreshold scoring4.505.004.001.00TradingView, Benzinga Pro, Stock Rover (tie)
    Scanner Auto-Refresh Rate (seconds)Refresh cadenceNot scored (context)1s60s1s0sMultiple tools (tie)
    Scanning Criteria CountStrategy expressivenessTotal criteria fields27667520030Stock Rover
    Scanning Criteria & Depth (Points)Criteria score0.0125 points per criterion3.455.002.500.80TrendSpider, Stock Rover (tie)
    Custom Code ScanningProgrammabilityExists = 5 points5.005.005.000.00Multiple tools (tie)

    In Context: My audit notes highlight TC2000’s scanning as “trader-native”: it supports practical condition building without feeling laggy. If your workflow relies on generating opportunities from the market (rather than watching a fixed list), this is one of TC2000’s strongest advantages.

    Best for: active traders who depend on scanning to find setups daily.
    Not ideal for: investors who rarely scan and mostly read research.


    Backtesting Performance

    Backtesting is the difference between “I think this works” and “I have evidence this works.” In my benchmarks, this category evaluates speed, no-code testing availability, coded testing, reporting quality, and whether you can test baskets/portfolios.

    TC2000 scores 0.00 versus the Median (3.38). For the reader, this has a clear implication: TC2000 is not the tool you choose if your process depends on validating strategies with historical simulation. It can still be excellent as an execution and scanning platform—but you’ll need another tool for strategy research.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Quantitative Backtesting FidelityOverall backtesting depthAvg of 5 sub-scores0.004.903.380.00TrendSpider
    Backtesting Speed (ms)Raw simulation speed10y daily / 2m 5-min6000ms302ms7msTradingView
    Backtesting Speed (Points)Speed pointsThreshold scoring0.005.004.250.00TradingView, TOS
    No Coding RequiredNo-code testing5 points if yes0.005.005.000.00TrendSpider, Finviz
    Flexible Coding BacktestingCoded testingExists = 5 points0.005.005.000.00TrendSpider, TradingView
    Backtesting Report Quality (Points)Reporting depth0.05 per 1% criteria0.005.002.250.00Portfolio123
    Multi-Stock Basket BacktestingPortfolio simulationExists = 5 points5.005.000.00TrendSpider, Finviz

    In Context: My audit notes reinforce what the score says: TC2000 is optimized for live workflows. If your edge requires rigorous testing, treat TC2000 as the “trading workstation,” and run research elsewhere.

    Best for: discretionary traders who validate setups with scanning + charts.
    Not ideal for: systematic traders who need backtests to approve trades.
    Pair it with: TrendSpider for strategy validation.


    Trading Bot & Auto-Trading Reliability

    This category is about how safely and realistically a tool supports automation—ranging from “alerts only” to “native execution,” plus the sophistication of the strategy engine and operational reliability signals.

    TC2000 scores 3.00 vs Median 2.50. The nuance matters: TC2000 can support condition-driven execution workflows, but it is not a “bot platform” in the modern sense (webhook ecosystems, bot orchestration, AI-native execution).

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Automated Execution & Bot ReliabilityAutomation readinessSum of sub-metrics3.004.502.500.00TrendSpider
    Automation PathHow automation is executed0–2 rubric2.02.01.00.0Trade Ideas, TC2000 (tie)
    Strategy/Bot SophisticationLogic depth0–2 rubric1.02.01.50.0TradingView, TrendSpider, Trade Ideas (tie)
    Operational AssuranceReliability posture0–1 rubric0.01.00.00.0TrendSpider
    Bot Support TypeAutomation styleTextPlace Buy & Sell orders via conditions

    In Context: My audit notes suggest TC2000’s best automation use case is “structured execution,” where you still control the process and reduce mistakes—not hands-off bot farming. For many traders, that’s the safer and more sustainable approach.

    Best for: traders who want conditional execution workflows without bot complexity.
    Not ideal for: traders who require webhook-driven automation stacks and orchestration.


    AI & Algo Index

    AI & Algo Index distinguishes three things: (1) algorithmic depth, (2) presence of an AI layer, and (3) transparency/validation. The practical question for readers is: Does the tool help you generate better decisions (and can you trust how it got there)?

    TC2000 scores 1.50 vs Median 2.00. That’s exactly what you’d expect from a deterministic, trader-centric platform: it has logic and scripting, but no meaningful AI layer as a core capability.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Algorithmic Intelligence & AI Tier IndexOverall AI/algo tierAlgo depth + AI + transparency1.505.002.001.00TrendSpider
    Algo DepthStrategy/model depth0–2 rubric1.02.01.51.0TradingView, TrendSpider, Trade Ideas (tie)
    AI LayerAI presence0–2 rubric0.02.00.00.0TrendSpider
    TransparencyExplainability0–1 rubric1.01.01.00.0Multiple tools (tie)

    In Context: My audit notes frame this as a design choice: TC2000 is built for traders who want deterministic tools and personal control. If you specifically want AI-driven discovery, TC2000 isn’t built to compete there.

    Best for: traders who prefer rule-based tools and transparency over AI layers.
    Not ideal for: traders seeking AI-native forecasting, signals, or strategy synthesis.


    Alert Speed

    Alerts matter because they compress attention: instead of watching everything, you watch what matters. My benchmark scores alerting on (1) capacity, (2) delivery channel richness, and (3) real-world speed.

    TC2000 scores 4.00 vs Median 3.67—a meaningful edge for active traders. The platform supports a high concurrent alert capacity (1,000) and a practical mix of delivery options, which is what you need if alerts are central to your workflow.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Alert Trigger Latency & Delivery SpeedOverall alert utilityAvg of 3 scores4.004.673.672.30TradingView
    Concurrent AlertsCapacity score1 point per 50 (max 5)5.005.005.005.00TrendSpider
    Concurrent Alert CountRaw capacityCount / Unlimited10002000875400TradingView
    Alert Streams RichnessDelivery breadth1 point per stream (max 5)3.005.002.001.00TrendSpider
    Alert Speed RatingPractical speed0–5 rating4.005.003.001.00TradingView, Benzinga Pro (tie)

    In Context: My audit notes emphasize that TC2000 alerts are “platform-grade”—built for active monitoring and decision flow. If you rely on alerts to reduce screen time and increase discipline, this is a strong category for TC2000.

    Best for: traders who run many alerts and act intraday.
    Not ideal for: automation-heavy traders who require webhooks as the primary delivery path.


    Trade Signal Quality

    This category measures whether the platform provides audited, actionable buy/sell signals as a core product feature. Many traders want signals; many others prefer a toolkit. The score tells you which you’re buying.

    TC2000 scores 0.00, matching the Median (0.00). In other words: TC2000 is not a “signal provider.” It’s a platform for traders who generate signals themselves.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Signal Alpha & Predictive EfficacyBuilt-in signalsAudited signals vs gauges0.005.000.000.00Trade Ideas, Tickeron, Motley Fool, Seeking Alpha

    In Context: My audit notes align: TC2000 is designed to help you build a repeatable trading workflow—scans, charts, alerts, execution—not to tell you what to buy or sell.

    Best for: self-directed traders building their own setups.
    Not ideal for: traders who want plug-and-play signals.


    Broker Connectivity & Ecosystem Depth

    This category blends (1) live trading support, (2) breadth of broker integrations, and (3) breadth of asset/data coverage. It matters because a tool can be great at analysis but still be awkward for execution, or locked into a narrow broker ecosystem.

    TC2000 scores 2.73, above the Median (2.00). The headline nuance: TC2000 supports live trading strongly, but its broker integration breadth is limited compared to ecosystem-heavy platforms.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Asset & Data Coverage IndexOverall connectivityAvg of scored sub-metrics2.735.002.000.70TradingView, MetaTrader
    Live TradingCan execute trades5 points if yes5.005.005.000.00TC2000, TOS
    Total number of brokers integratedBroker breadthRaw count2120020MetaTrader
    Broker IntegrationBroker depth score0.1 point per broker (max 5)0.205.000.200.00TradingView, MetaTrader
    Asset & Data CoverageMarket breadthStocks/Options/FX/US/Intl3.005.002.002.00TradingView, TrendSpider, MetaStock

    In Context: My audit notes characterize TC2000 as a clean execution workflow rather than a broker marketplace. If you already have a preferred broker path, that can be enough. If you constantly switch brokers or require broad routing, this won’t be a strength.

    Best for: traders who want integrated execution and don’t need broad broker routing.
    Not ideal for: traders who prioritize multi-broker ecosystems.


    Portfolio Tool Performance

    Portfolio tools matter more for investors and swing traders than for pure day traders. This category measures how well the platform helps with risk metrics, correlation insight, dividend/portfolio health reporting, and overall portfolio “dashboard” quality.

    TC2000 scores 2.90, slightly above Median (2.80). That suggests it’s useful for tracking and basic portfolio management, but not a replacement for dedicated portfolio analytics platforms.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Portfolio Health & Risk AnalyticsOverall portfolio depthCategory score2.904.802.802.00Stock Rover, Portfolio123
    Health Check & Reporting DepthDepth of coverage% critical metrics covered37/80 (46.2%)76/80 (95.0%)36/80 (45.0%)20/80 (25.0%)Stock Rover, Portfolio123

    In Context: My audit notes describe TC2000’s portfolio view as practical, but not “institutional-grade analytics.” If you need correlations, Monte Carlo, deep rebalancing workflows, or factor-style reporting, you’ll want a dedicated portfolio tool.

    Best for: traders who track positions alongside scanning and charts.
    Not ideal for: portfolio-optimization and risk-modeling workflows.
    Pair it with: Stock Rover / Portfolio123 for advanced portfolio analytics.


    Financial News Speed & Depth

    News tools matter when catalysts move the price. This category measures whether the platform can deliver news in a way that’s usable for trading: alerts, filtering, watchlist relevance, and speed relative to primary wires.

    TC2000 scores 3.50, well above Median (2.30). It’s not a wire terminal, but it has MT Newswire which is meaningfully better than platforms where news is effectively an afterthought.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Financial News Speed & Quality RatingNews trading utilityWeighted rubric3.505.002.300.00MetaStock, Benzinga Pro, eSignal, Scanz
    Seconds of delay vs primary wiresRaw speed rangeApp vs wire feeds20s–60s< 1s60s–120sHours/DaysMetaStock

    In Context: My audit notes suggest TC2000’s news value is “workflow integration”—useful context and filtering rather than ultra-low-latency scalp triggers. If you trade earnings reactions, upgrades/downgrades, or catalyst breakouts, this category matters.

    Best for: traders who use news as catalyst context alongside scanning.
    Not ideal for: pure news scalpers who require terminal-grade speed.


    Community Utility Index (CUI)

    Community is not about popularity—it’s about whether the community produces usable IP: scans, layouts, strategies, code, and practical workflow improvements. A strong community can reduce learning time and improve execution quality.

    TC2000 scores 3.50, above Median (3.25). The community is stable and useful, but it’s not the kind of “massive open-source signal ecosystem” that scripting-social platforms dominate.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Community Utility IndexOverall community valueAvg size + contribution3.505.003.251.80TradingView, MetaTrader
    Active Community SizeCrowd density0–5 scale3.505.003.002.00TradingView, MetaTrader
    Quality of Community ContributionPractical IP quality0–5 scale3.505.003.501.50TradingView, Trade Ideas, MetaTrader

    In Context: My audit notes describe TC2000’s community value as “practical workflows”—layouts, scanning approaches, and experienced user guidance. If you want a community that ships constant new code/strategies, other ecosystems are stronger.

    Best for: traders who want practical platform usage help and stable peer knowledge.
    Not ideal for: traders seeking a constant stream of community-built algorithms.


    Support Infrastructure & SLA Audit

    Support is an underrated trading edge: it reduces operational risk. When tools break during market hours, support quality determines whether you lose minutes, hours, or days.

    TC2000 scores 5.00, decisively above Median (3.75) and at the top of the benchmark set. This is one of the clearest “trust” signals in my dataset.

    MetricWhat It MeasuresCalculationToolHighMedianLowCategory Winner
    Support SLA Audit: Time-to-Human BenchmarksOverall support postureAvg channels + response5.005.003.751.00TC2000
    Support Communication ChannelsAccess scale0–5 rubric5.005.003.501.00TC2000
    Support Response TimesTime-to-human0–5 rubric5.005.004.001.00TC2000
    Stated SLA & Tested OutcomesReal-world outcomeRaw stated/tested< 15 Minutes

    In Context: My audit notes make this a practical buying reason: if you’re an active trader, the cost of bad support is not annoyance—it’s missed trades, broken alerts, and avoidable operational losses.

    Best for: traders who value reliability and fast time-to-human support.
    Not ideal for: occasional traders who rarely need support.

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