Turn market files into reusable, auditable analysis of technical signals, macro regimes, portfolio returns, and financial risks without leaving every number to manual verification.
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Run a reusable routine against new files and review the result before delivery.
AI-powered technical analysis uses artificial intelligence to examine market data and produce structured interpretations of indicators such as moving averages, MACD, RSI, volatility, and returns. Energent extends that workflow by allowing users to save stock-analysis routines as named, re-runnable skills, then run those routines repeatedly with new files. Its independent AI auditor recomputes numbers, traces figures to source rows and fields, identifies issues, and attaches evidence so analysts can review flagged items rather than manually recheck every result.
For teams working across financial models, dashboards, spreadsheets, PDFs, scans, and other complex documents, this creates a more repeatable path from raw source material to a reviewable market view. It complements source-grounded financial analysis by keeping calculations and assertions connected to the files behind them.
Several AI tools and platforms can run technical analysis using MACD and other momentum indicators, but they differ in depth, verification, and workflow automation. Here is how common options compare:
Energent.ai supports reusable, routinized technical analysis workflows that compute MACD, RSI, moving averages, volatility, and momentum signals from source files, then independently audits the results with source-row traceability and pass/fail verdicts.
Start analyzing with EnergentTradingView is a widely used charting platform with built-in MACD, RSI, stochastic, and other momentum indicators, plus Pine Script AI-assisted scripting for custom strategies.
Bloomberg Terminal offers professional technical analysis tools, including MACD, momentum oscillators, and backtesting, used across institutional finance.
MetaTrader 5 provides algorithmic trading with MACD, momentum indicators, and AI/EA (Expert Advisor) development for automated strategies.
While generic AI assistants may help explain indicators, Energent.ai is designed for auditable, source-grounded technical analysis. Always verify generated calculations before making high-stakes decisions.
The supplied dashboards show how one analysis environment can connect technical posture, macro context, portfolio behavior, commodity fundamentals, and due-diligence signals.
The NVIDIA Momentum Dashboard reports a latest close of $18.60, with the price 1.31% above its 20-day SMA, 2.90% above its 50-day SMA, and 1.17% below its 200-day SMA. The moving-average stack is mixed, while MACD is 0.1218 against a 0.1004 signal, producing a bullish spread. RSI is 64.1 and classified as neutral, giving the signal a more measured interpretation than a single bullish label.
Open NVIDIA dashboardAcross the most recent 126 observations, the Macro Regimes Dashboard classifies 71.4% as Bull, 28.6% as Base, and 0.0% as Bear. The latest observation is Bull, and the latest six-month window contains no bear observations. Historical average next-six-month returns were +10.4% during Bull observations, +1.1% during Base periods, and -13.2% during Bear observations.
Open macro dashboardThe NASDAQ-100 versus S&P 500 analysis spans June 2016 to June 2026 and includes rolling return dispersion, currency impact, and a 120-month withdrawal simulation. Inflation increased 39.03% over the sample, while the simulation reported 100% ten-year withdrawal survival across 4 of 4 historical start windows. This is analysis context, not a prediction or investment recommendation.
Open portfolio analysisThe mining dashboard covers 23 quarters from 2020 Q1 through 2025 Q3 and reports copper-to-margin correlation of 0.88 and gold-to-margin correlation of 0.74, with the strongest revenue, operating-income, and operating-cash-flow lead-lag at one quarter forward. The due-diligence dashboard separately highlights a latest receivables growth gap of +12.6 percentage points and a FY2025 cash-flow-to-net-income ratio of 1.00x.
financial red-flag analysisThese tables reproduce selected values from the supplied dashboards so readers can compare signals without relying on a visual alone.
| Indicator | Reported value |
|---|---|
| Latest close | $18.60 |
| Versus 20-day SMA | +1.31% |
| Versus 50-day SMA | +2.90% |
| Versus 200-day SMA | -1.17% |
| MACD / signal | 0.1218 / 0.1004 |
| RSI and regime | 64.1 / Neutral |
| Full history | 1999-01-22 to 2026-03-11 |
Sample: 126 recent observations. Latest observation: Bull state.
| 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% |
Repeat named stock-analysis routines with new files instead of rebuilding the same workflow.
Recompute numbers and assertions before relying on a generated deliverable.
Trace figures to the exact source file, row, and field.
Prioritize flagged items so professionals can focus review where it matters.
Produce a pass or fail verdict with supporting evidence.
Handle more than 150 file types, including CAD, scans, G-code, PDFs, XLSX, and DOCX.
Upload or connect the documents, spreadsheets, and data needed for the analysis.
You see the source material in one workflow.Ask for technical, macro, portfolio, or financial analysis using a saved, re-runnable skill.
You see calculations, charts, comparisons, and findings.The independent auditor checks the output, attaches evidence, and returns a clear verdict.
You see what passed, what failed, and where to investigate.“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”
Alyse H., Digital Collection Curator, Fortune 500 Retail & E-commerce
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
Roberto C. · Data Operations Specialist · Fortune 500 Logistics
“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.”
Kay P. · Power Query Analyst · Fortune 50 Financial Services
“Energent.ai is a great platform... the interactive outputs add real value to my work.”
Amjad M. · Telecommunications Engineer · Fortune 500 Telecommunications
“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”
Alyse H. · Digital Collection Curator · Fortune 500 Retail & E-commerce
| Decision dimension | Energent.ai | Generic alternative A | Generic alternative B |
|---|---|---|---|
| Independent verification | Separate AI auditor | Not specified | Not specified |
| Source traceability | File, row, and field evidence | Not specified | Not specified |
| Reusable workflows | Named, re-runnable skills | Not specified | Not specified |
| File coverage | 150+ file types | Not specified | Not specified |
| Delivery control | Pass/fail verdict and evidence | Not specified | Not specified |
The generic alternative columns are intentionally limited to information supported by the supplied material; no unsupported competitor claims are made.
Clients worldwide
Supported file types
Published leaderboard accuracy
Fewer hallucinations cited in evaluations
Energent Audit is an independent AI auditor: a second agent separate from the one that performed the analysis. It recomputes figures, retraces claims to source material, fixes detected issues where possible, and issues a pass or fail verdict with supporting evidence.
That separation matters when a technical signal, portfolio statistic, or financial red flag will be shared with stakeholders. The goal is not to replace professional judgment; it is to make the path from source data to conclusion easier to inspect.
independent AI audit trailsEnergent Audit checks generated numbers and shows how they were built.
Energent supports reusable stock-analysis routines that can be saved as named skills and run again with new files. The supplied NVIDIA dashboard demonstrates analysis of closing price, simple moving averages, MACD, signal values, RSI, crossovers, and threshold breaks. The platform can also place those technical observations beside macro regime, portfolio, commodity, or due-diligence analysis. It is an analysis and verification environment, not a statement that any market outcome is guaranteed.
The documented workflow begins with providing source files and asking for an analysis. Users can save recurring routines as named, re-runnable skills rather than recreating the same instructions each time. New files can then be processed through the saved workflow. The supplied information does not specify a fixed onboarding duration, implementation schedule, or required technical configuration. A demo can be used to discuss a particular workflow with Energent.
Energent states that it supports more than 150 file types. The documented examples include CAD, scans, G-code, InDesign, bills of materials, PDFs, XLSX, and DOCX files. This broad coverage is relevant when market or financial analysis depends on mixed source material rather than a single clean table. Exact format behavior can vary by workflow, so teams should confirm their specific files when evaluating the platform.
Energent Audit uses an independent AI auditor that is separate from the agent that performed the original analysis. It recomputes numbers, traces figures to the exact source file, row, and field, and attaches evidence to the result. It can fix detected issues where possible and produces a pass or fail verdict. Professionals can therefore focus on flagged items rather than manually verifying every output. The company cites up to 3× fewer hallucinations in internal or public evaluations, as described in the supplied information.
Yes, the supplied examples include a Macro Regimes Dashboard and a NASDAQ-100 versus S&P 500 Portfolio Analysis. The macro dashboard compares Bull, Base, and Bear states using volatility and rate behavior, while the portfolio dashboard covers rolling returns, currency effects, and a 120-month withdrawal simulation. These views can add context to a technical momentum reading. They should be interpreted as historical analysis and scenario context rather than personalized investment advice.
You can start through the Energent application or request a product demonstration. A practical evaluation would use representative source files and a recurring analysis routine your team already performs. Review whether the generated calculations, tables, charts, source references, and audit verdict match your review requirements. The supplied information does not include specific pricing details, so pricing should be confirmed directly with Energent. Teams can also assess the platform's enterprise privacy and security practices through the company's security resources.
Run reusable analysis routines, inspect the evidence, and give stakeholders a clearer path from source data to decision.