Turn market files into traceable momentum, risk, and regime insights, then verify every important number before delivery.
Trusted by 100k+ companies across the globe.
AI-powered technical analysis uses an AI workflow to organize market data, calculate indicators, compare return windows, classify macro conditions, and present the results in an interactive report. For stock momentum work, it can bring together moving averages, MACD, RSI, rolling returns, currency effects, and regime history without leaving the analyst to reconcile every output manually. Energent.ai adds an independent audit layer that recomputes figures, traces them to source files, checks references, and returns a pass/fail verdict with evidence.
The result is not a prediction promise. It is a reviewable analytical workflow for teams that need to understand how a number was produced and whether it can be defended in a review. Related AI stock analysis can be reused across recurring research tasks, while MACD and RSI analysis helps focus attention on indicator relationships.
The supplied dashboards show how a single reusable analysis can connect security-level momentum with portfolio risk and macro context.
A momentum dashboard can place the latest close beside 20-day, 50-day, and 200-day moving averages, MACD, signal, RSI, and historical threshold breaks. The NVIDIA example reports a latest close of $18.60, a bullish MACD spread, and an RSI of 64.1 in a neutral regime.
Portfolio analysis can compare NASDAQ-100 and S&P 500 rolling returns across one-, three-, and five-year windows, then add ten-year currency and withdrawal context. This makes upside, dispersion, hedging, and funding outcomes visible in one decision surface.
A report-style output can show notes, evidence, and red or green audit cards alongside the source analysis. The vendor-spend audit example demonstrates the practical value of an explicit FAIL state rather than hiding an issue inside a narrative summary.
A saved stock-analysis routine can be run again when new files arrive. The supplied verification interface illustrates per-file pass/fail coverage, while reusable skills allow corrections to become persistent audit rules.
Trace every important figure back to its exact source file, row, and field.
Recompute indicators, return statistics, and other supplied analytical outputs.
Combine security momentum, portfolio dispersion, currency effects, and macro regimes.
Reuse named stock-analysis workflows for weekly reports and recurring production tasks.
Verify AI-generated work independently before it reaches a stakeholder.
Deliver a reviewable pass/fail verdict with supporting evidence instead of an opaque answer.
Add the market, portfolio, or research files that contain the source data for the analysis.
What you see: source files organized for analysis.Ask for momentum, rolling-return, currency, or macro-regime analysis using a reusable routine.
What you see: interactive tables, charts, and analytical findings.Energent Audit checks the figures, traces evidence, fixes issues where possible, and returns a verdict.
What you see: source-linked evidence and pass/fail status.History shown: last five trading years. Full available history: January 22, 1999–March 11, 2026.
The latest observation is a Bull state. Across the most recent 126 observations, the latest six-month window contains no bear observations.
| Index | Holding period | Best | Median | Worst |
|---|---|---|---|---|
| NASDAQ-100 | 1Y | 67.55% | 23.73% | -32.97% |
| NASDAQ-100 | 3Y | 37.12% | 18.68% | 7.80% |
| NASDAQ-100 | 5Y | 27.40% | 17.43% | 11.33% |
| S&P 500 | 1Y | 53.71% | 14.57% | -19.44% |
| S&P 500 | 3Y | 23.88% | 11.14% | 3.04% |
| S&P 500 | 5Y | 16.77% | 13.07% | 7.31% |
Timeline context: June 2016 to June 2026. These historical figures describe the supplied analysis and are not a forecast or investment recommendation.
“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”
| Decision dimension | Energent.ai | Unverified AI output | Manual review workflow |
|---|---|---|---|
| Source traceability | Exact file, row, and field tracing | Not stated in supplied information | Depends on reviewer process |
| Numerical verification | Recomputes and cross-checks results | Original output may remain unchecked | Performed by human reviewers |
| Decision status | Evidence-backed pass/fail verdict | Narrative answer or result | Internal sign-off or review notes |
| Recurring work | Named, reusable workflows | Prompt must be repeated | Process repeated manually |
| File coverage | 150+ supported file types | Varies by tool | Varies by team and software |
This comparison describes the supplied Energent.ai capabilities and generic workflow categories. It does not identify or link to a competitor.
Published HuggingFace leaderboard accuracy claim
Supported file types
Fewer hallucinations in public evaluations
Clients worldwide
Energent Audit is designed as an independent agent with no stake in the original answer. It retraces figures to their sources, verifies how they were built, and shows the evidence behind the result. For financial analysis and complex statistical modeling, the company says its triple-audit approach reduced hallucination errors by up to 3× in internal evaluations.
Explore AI financial verificationAI-powered technical analysis is a workflow that uses AI to process supplied market data and calculate or organize technical indicators. In this use case, the analysis includes moving-average relationships, MACD, RSI, rolling returns, currency effects, and macro regimes. It presents the findings in dashboards, tables, and reports so a user can review the context. Energent.ai also provides an independent audit layer that recomputes numbers and traces them to source files. It is an analytical and verification workflow, not a promise of future market performance or investment advice.
The supplied NVIDIA dashboard demonstrates stock momentum analysis using MACD, RSI, and moving-average comparisons. It reports a latest close of $18.60, a MACD of 0.1218, a MACD signal of 0.1004, and an RSI of 64.1. It also records historical bullish and bearish MACD crossovers and overbought or oversold threshold breaks. These values are presented as part of the supplied historical dashboard rather than as a recommendation. Users can save a stock-analysis routine and run it again with new files.
Energent.ai states that it supports more than 150 file types. The provided information specifically includes spreadsheets, PDFs, scans, CAD, G-code, InDesign files, BOMs, XLSX, and DOCX. This breadth is relevant when market research, portfolio records, and supporting documents arrive in different formats. Exact processing behavior can depend on the supplied files and the requested workflow. The platform is positioned for high-volume and enterprise workflows where source material must remain reviewable.
Energent Audit independently checks deliverables produced by other AI systems or workflows. It recomputes numbers, traces each figure to the exact source file, row, and field, and verifies the result against references. Where possible, it fixes issues before issuing a final result. It then provides a pass/fail verdict with supporting evidence. The company reports up to 3× fewer hallucination errors in internal evaluations, including financial analysis and complex statistical modeling.
Yes, the supplied information says users can save a stock-analysis routine as a named, re-runnable skill. New files can be fed into that routine week after week for recurring analysis. The workflow is intended to support weekly trade reports and other production tasks. Reusable workflows also allow corrections to become persistent audit rules. This reduces the need to reconstruct the same analytical instructions for every reporting cycle.
The supplied information does not provide specific pricing, plan limits, or free-trial terms for this use case. The company website provides a product entry point at the Energent app and a separate book-a-demo path. Teams can use those official routes to determine current access and commercial details. Pricing may depend on the workflow, file volume, and enterprise requirements, but no additional terms are stated here. This page therefore does not make a pricing or trial claim.
Run a reusable workflow, connect the evidence, and verify the numbers before they reach the people who rely on them.