Disclosures

NPER is a market-data and analytics platform operated by NPER Group. We publish information about financial markets, including prices, options flow, news, backtests, AI-generated summaries, and community sentiment.

NPER Group is not a registered broker-dealer, registered investment adviser, registered representative, financial planner, or licensed solicitor in any jurisdiction. Nothing on the Service is an offer, solicitation, or recommendation to buy or sell any security, commodity, derivative, cryptocurrency, or other financial instrument.

Using the Service does not create a fiduciary, advisory, or professional relationship between you and NPER Group, its affiliates, or its employees. We do not assess your investment objectives, risk tolerance, financial situation, or suitability for any particular instrument.

You are solely responsible for your own investment decisions and for verifying with a licensed professional that any action you consider is appropriate for your specific circumstances.

Quotes, news, calendar entries, and other data on the Service are sourced from third parties — primarily Yahoo Finance, plus various news and economic calendar providers — and are provided "as is." We do not guarantee accuracy, completeness, or timeliness.

• Quotes may be delayed. Equity and crypto quotes from Yahoo Finance are typically delayed at least 15 minutes from the actual exchange. Treat all displayed prices as indicative, not executable.
• Earnings dates change. Companies reschedule earnings releases. Our calendar reflects the third-party feed at the time of fetch and may not be current.
• Macro calendar data is best-effort. Economic release schedules and consensus estimates come from third-party sources and can be revised without notice.
• Historical data may differ between sources. Adjusted vs. unadjusted prices, dividend handling, and split treatment vary between data providers. Our backtests use the Yahoo Finance adjusted-close series unless otherwise noted.

When you run a backtest, you should understand the following structural limitations:

• Look-ahead bias risk. Indicators are computed bar-by-bar with no future knowledge, but strategies that reference broader market data (e.g. VIX, sector ETFs) may inadvertently leak information from the future depending on how the user defines their rules.
• Slippage and commissions. By default, our backtests assume zero slippage and zero commission. Real trading costs reduce returns — sometimes substantially, particularly for high-turnover strategies.
• Liquidity. The backtester assumes you can buy or sell at the closing price on the signal bar. For small-cap or thinly-traded instruments this is unrealistic.
• Survivorship bias. Backtests run on currently-listed tickers. Stocks that delisted are not in the universe, biasing aggregate results upward.
• Overfitting. A strategy with many parameters, tuned to look great on a single historical period, often fails out-of-sample. Use Walk-Forward (IS/OOS) and Monte Carlo tools to stress-test before drawing any conclusion.
• Monte Carlo is a simulation. The Monte Carlo panel resamples your historical trades to estimate a confidence band on possible outcomes. It is a sanity check, not a guarantee.

Several parts of the Service are generated by large language models (currently Anthropic Claude). This includes the daily briefing summaries, Prof. NPER chat replies, and certain natural-language strategy generators in the Quant Lab.

• AI can be confidently wrong. Models can fabricate company facts, misquote prices, invent links, or combine real events incorrectly. Verify anything material from a primary source before acting on it.
• Recency.The model's training data has a cutoff date. Anything beyond that cutoff is either fetched live on our side (clearly contextualised) or unavailable to the AI.
• No personalization. The AI does not know your financial situation, account size, or risk tolerance. Its replies are general by design.
• No private-data training.We use the inference provider's commercial API tier. Your prompts and our system prompts are not used to train their models.

NPER's sentiment polls show what users of this platform vote on a given market question. This is a measure of NPER user opinion — not the consensus view of the broader market.

• A 70% "bullish" reading does not mean the broader market is bullish — only that 70% of users who chose to vote on this specific poll voted bullish.
• Users may be biased. They may be wrong. They may be voting aspirationally rather than analytically.
• Edge scores, calibration percentages, and leaderboard rankings are descriptive statistics of past poll outcomes within NPER. Past calibration is not a predictor of an individual user's future accuracy.
• We rate-limit voting per IP and require email-verified accounts to limit obvious manipulation, but we cannot eliminate coordinated voting entirely.

Prof. NPER is an AI chatbot that answers market and trading questions using a large language model plus a curated system prompt. It is a teaching tool, not an adviser.

Prof. NPER does not see your portfolio, your broker account, or your trading history. Its answers are general explanations and examples — not specific recommendations. Do not act on a Prof. NPER reply as if it were professional advice.

The daily briefing is a programmatic summary of overnight market moves, scheduled releases, and major headlines. It is assembled from third-party feeds and then summarised by an AI model. Any interpretation in the briefing is the AI's, not an analyst's.

Linked news articles are owned by their respective publishers. We do not endorse the content of linked stories.

Before trading, consider whether you understand how the instrument works and whether you can afford to take the risk. Past performance of any strategy, asset, or trader is not a reliable indicator of future results.

If you are unsure whether trading is appropriate for your financial circumstances, seek advice from an independent, licensed financial professional.

NPER Group and its employees may hold positions in securities, cryptocurrencies, or other instruments discussed on the Service. We do not currently maintain a real-time disclosure of those positions. If we publish individual stock recommendations in the future, we will introduce a per-article disclosure layer.

NPER does not currently receive payment for content, coverage, or featured-strategy placement. If that changes, the relevant content will be clearly marked as "sponsored."

We may participate in affiliate or referral programs with brokers, exchanges, or data providers. Any link that pays NPER Group a referral fee will be disclosed at the point of click.

The Service is not directed at, nor intended for, residents of any jurisdiction where the distribution or use of financial information would be contrary to local law or regulation. By accessing the Service, you represent that you may lawfully do so in your jurisdiction.

We may restrict access from certain countries — for sanctions compliance, for App Store regional rules, or because local regulation requires a license we do not hold. The list of restricted regions is enforced at the network level and is not published publicly.

If anything on this page is unclear, or you want to flag content that may need a stronger disclosure, please email legal@npergroup.com. We take the wording of disclosures seriously and we will revise this page when something material changes.

See also our Terms of Service and Privacy Policy.