Track what the market is thinking,not just what it has priced.

The vTalkInsight Market Sentiment Index is a daily measure of overall market risk sentiment. It is built on our in-house AI pipeline, which continuously reads and learns from curated institutional-grade market research, expert commentary, and major financial news, then turns scattered market views into one structured and trackable daily signal.

It is designed for investors who want scattered market views translated into a standardized daily signal that is easy to understand, track through time, and use alongside traditional risk measures such as the VIX in research and analytical workflows.

Markets move not only on data, but on how that data is interpreted. Traditional price-based indicators tell you how risk is currently being priced. Qualitative sentiment helps show how that risk is currently being interpreted.

Price data can be very useful for identifying market conditions and confirming trend. Qualitative sentiment can add a more forward-looking read on trajectory, conviction, and potential changes in direction. When assessing market risk appetite, it can therefore complement traditional price-based risk measures through a different lens.

The vTalkInsight Market Sentiment Index is designed to provide that lens. It gives you a structured daily reading of the market’s interpretation layer, helping you monitor whether broad risk appetite is improving, weakening, or changing direction.

Traditional indicators are useful, but they are often narrow by construction. They are strong at measuring what is priced, often within a specific market or instrument. The vTalkInsight Market Sentiment Index is designed to offer a broader and more adaptive reading of how market risk is being interpreted.

Unlike many traditional indicators, our index covers a broad set of market risk drivers, spanning macro, policy, geopolitics, fundamentals, valuations, earnings, and cross-asset developments across public and private markets. This matters because some important market risks, especially policy and geopolitical risks, may not have a single direct price-based risk measure, yet they are often clearly visible in market narratives when they become important.

Within our aggregation framework, the influence of different risk drivers is not pre-set. It is allowed to emerge from the market itself: when a driver becomes more important, the volume of related institutional commentary tends to rise, and the greater volume and stronger alignment of those insights naturally increase that driver’s influence in the aggregated signal. This market-led mechanism makes the index more adaptive to what is actually driving risk sentiment at a given time, rather than requiring investors to switch between narrowly defined traditional risk proxies as market conditions change.

It is not another price-only fear gauge. It is a quantified daily read on how the market is being interpreted.

Unlike traditional price-based data, qualitative sentiment does not come in a clean, standardized format that can simply be downloaded and analysed. It is scattered across many sources, often unstructured, and difficult to compare consistently. To become useful as a repeatable market signal, those qualitative views need to be extracted, structured, and quantified in a systematic way.

Our in-house AI pipeline continuously processes a large volume of curated institutional-grade market research, expert commentary, and major financial news. It then uses large language model, or LLM, to extract relevant market insights, structure and label them consistently, and score each insight so that qualitative market views can be converted into standardized numeric sentiment scores. Those scored insights are then aggregated through a repeatable framework to produce a measurable daily market sentiment index.

The strength of the index depends on both selectivity and volume. Selectivity matters because market sentiment is only as useful as the quality of the underlying inputs. We focus on curated and credible market content sources rather than treating all sources as equal. Volume matters because a robust daily signal should reflect a broad base of market views, not a handful of isolated opinions. Each day, our AI pipeline extracts and aggregates hundreds of market insights, helping make the index more representative, more stable, and more informative.

Our team manages investment strategies that rely heavily on traditional market data and quantitative signals. Those measures remain essential, but we also saw their limitations: markets can change direction quickly, while shifts in narrative and conviction are often visible in commentary before they are fully reflected in standard risk gauges.

For example, during the sharp V-shaped recovery that followed the 2025 reciprocal tariff shock, we saw market narrative improve materially before many traditional price-based risk measures had fully normalized. It was this live experience that led us to search for a more sensitive interpretation layer to complement our hard-data framework.

That search led to the development of the vTalkInsight Market Sentiment Index.

Use the index to monitor whether aggregate risk appetite is improving or deteriorating over time.

Use it to assess whether price action is being confirmed or challenged by changes in market tone.

Use it to complement traditional market risk measures such as the VIX, credit spreads, and other hard-data indicators, rather than relying on any single signal in isolation.

For users who want to go deeper into what is driving the move, a quantitative theme-family view is in development and will show the leading narrative drivers behind the overall signal.