Economic policy toolkit
Economic policy in the form of monetary and fiscal policy (often referred to as short run policies) have always had importance. Important for economies, households and post 1980s, for financial markets. However, policymakers, such as central bankers, have had to think about the ‘tools’ they use to increase the efficiency and power of their decisions. An imperative tool in the policymakers kit is the ‘power of words’ (formally referred to as forward guidance) – how they sell an idea is sometimes more important than what they are selling. For example, in July 2012, ECB President Mario Draghi calmed a eurozone debt crisis with a pledge to do “whatever it takes” to preserve the euro. No new policy was announced that day (they were selling nothing!) yet borrowing costs for Spain and Italy began to fall. Words alone did what months of action had struggled to achieve.
Policy used to speak slow and cryptically
The use of their ‘words’ is a relatively recent phenomena (if you are interested, the Bank of Japan is generally recognised as the first modern user of forward guidance - in 1999 they used it as a way to maintain credibility & stability in a deflationary environment). Before this, monetary authorities barely explained themselves. Decisions over interest rates (in the context of monetary policy) were announced with little to no commentary. In many ways, markets were left to read the tea leaves and squint very hard at times. As central banks attainted more objectives beyond price stability, this became more costly to process. Economic policy spoke slowly, and it spoke through a small number of formal channels.
In the modern era, where the spread of information (& knowledge) has no limits, policy signals arrive in posts, clips and quotes, often before the official statement, press conference and data presentation has been digested. Even a remark from a policymaker before a formal decision can circle the world in seconds. A post from a head of government about interest rates, tariffs or the currency can move markets before any official decision has been made – and sometimes at the dismay of (independent) central bankers (Trump v the Fed!).
In many ways, this is more than just a change in speed and global reach. Social media has changed how expectations are formed, and because expectations sit at the heart of modern economic policy, it has changed how policy itself works. Social media has become the new playground for economics. And if economics is now played out in the feed, traders need a way to read it there: to tell genuine policy signals from noise, and to understand what each one means for markets the moment it appears. That is exactly the gap TraderUI was built to fill!
The ‘power of persuasion’: why and how forward guidance matters
Modern economics places expectations at the centre of almost everything. If people and businesses expect inflation to rise, they behave in a way that help make it happen. If markets expect interest rates to stay high, borrowing costs rise today, even before any further decision is taken. Because they are social systems, what people believe about the economy helps shape what the economy actually does, and those outcomes in turn reshape what people believe. Expectations are not just a reflection of reality, but they help create it. The collapse of Silicon Valley Bank in March 2023 is a good example. Concerns about the bank’s finances spread rapidly across social media and messaging groups, depositors rushed to withdraw, and around $42 billion left the bank in a single day. The fear of a bank run helped cause the bank run. Similar to the Northern Rock example, which played out more through traditional media. Even though this was before social media, remember the chaos at UK ATMs!
Understanding the social narratives that form within these systems, and how quickly they now spread, has therefore become imperative. Tools that help with this are even more important. As a side note, this is why treating financial and economic systems as scientific systems (as physicists would view the physical world through governable laws like gravity and motion) is very dangerous. For example, we could look out of the window and say it will rain tomorrow, but what we think/say has no bearing on whether it will rain – our words and thoughts will not cause it to rain! In social systems, it does. A widely shared belief that a bank will fail can make it fail. And today, those beliefs form, spread and harden on social media. Understanding the narratives that take shape there, and how quickly they now travel, is a form of trading edge.
Central banks have learned to use this. Forward guidance is the practice of shaping expectations about the future path of policy through communication, not just action. Rather than relying only on changing interest rates, a central bank can tell markets what it is likely to do next, and the market does part of the work for it. This is why forward guidance is really the ‘power of persuasion’.
However, sometimes it is not always persuasive in a positive way. In 2013, a hint from the Federal Reserve that it might slow its bond purchases sent global yields sharply higher, an episode remembered as the taper tantrum. A cautious choice of words does not always mean those cautious words are seen as cautious.
As we explored in our earlier blog on how experienced traders think, guidance can matter more than the decision itself. A rate hike accompanied by cautious language can weaken a currency. The action points one way and the words may (incidentally or intentionally) reverse it.
From policy decision to post: the new channels
Forward guidance was designed for formal settings, such as through policy statements, press conferences, minutes, speeches and journalist briefing sessions. This helps control the narrative and put it in ‘safe hands’. That said, whilst they still matter, these channels are not alone.
Central banks now publish directly on social media, and every speech by every policymaker is clipped, summarised and shared within minutes. A single line, lifted from a 40-minute speech, can become the market's headline for the day, whether it reflects the speaker's overall message or not. These edits are generally not made by the policymaker themselves.
Alongside them, a new set of voices offers what amounts to informal guidance. Politicians comment on interest rates, criticise central bankers, and announce trade measures directly to their followers. In August 2019, a series of US presidential posts publicly questioning the Federal Reserve's chair, alongside escalating tariff threats against China, unsettled markets in a single afternoon. In April 2025, a post announcing a 90-day pause on most new tariffs sent the S&P 500 up more than 9% in one session, one of its largest daily gains on record.
Politicians are only the first layer. Financial journalists with close access to policymakers have become informal channels in their own right. In June 2022, days before a Federal Reserve meeting, a Wall Street Journal report that the Fed was likely to consider a larger-than-expected rate rise was enough for markets to reprice almost immediately. The Fed went on to deliver exactly that. The guidance was communicated through a journalist's story rather than an official statement.
Business leaders form an additional layer. When a CEO with millions of followers posts about their company, the market listens, and rightly so. In August 2018, Elon Musk posted that he had secured funding to take Tesla private, and markets jumped. The funding had not, in fact, been secured, and the episode led to fines from US regulators. The post moved the price long before the facts caught up (which is also another reason to follow Elon Musk on TraderUI).
Then there are retail communities. In January 2021, investors coordinating on Reddit drove GameStop's share price up more than tenfold in a matter of weeks, inflicting heavy losses on hedge funds that had bet against it. No policymaker or executive was involved. The narrative itself, shared and amplified across a social platform, became the market force.
Finally, there are voices with no authority at all (some would say). In May 2023, an AI-generated image falsely showing an explosion near the Pentagon spread from accounts that appeared credible, and US equities dipped briefly before the image was debunked. A fabrication, with no source and no substance, moved markets for a few minutes simply because enough people believed it might be true. Layer this with prediction markets such as Polymarket and Kalshi taking bets on policy decisions!
The point is that each of these voices carry varied levels of authority, and likely, differing likelihood of being right. However, each can shift expectations, and in a reflexive social system as we highlighted above, shifting expectations is often enough to move prices, in both traditional markets and alternative markets, such as prediction markets. None of these posts were formal monetary policy. Yet each one changed what markets expected about growth, inflation, trade or interest rates. In economic terms, they functioned as guidance.
Who is really giving guidance? Credibility in a space of many voices
As an economist myself, guidance only works where there is credibility in the voice. Central banks and their decisions only work because they have credibility (or at least, they are the more credible in relative terms). Therefore, markets believe their commitments because if they break this, it would damage the reputation and blunt the policy tools.
Social media blurs this. Think about the user interface and algorithm decisions of social media feeds. The feed places a central bank statement, a politician's post, a journalist's interpretation and an anonymous account's speculation side by side, in the same format and at the same size. Which hits first – the algorithm decides. The reader must decide which voices actually have the power to change outcomes. Having experience (as a trader, for example) helps cut through noise and decipher, but this is not an immediate trait many of us can retain.
The hardest cases arise when signals conflict. A central bank may be guiding towards patience while a head of government publicly demands lower rates (even though the central bank is independent). Which should the market believe? The answer depends on conditions: the central bank's independence, the politician's influence over appointments, how close an election is, and what the data are saying. Credibility is not fixed. It is weighed, constantly, against everything else in the feed. In many ways, there might not be a right answer!
More news, which is faster, but noisier
These consequences often show up clearly in market behaviour. Expectations that once adjusted over days to weeks, now adjust in minutes and seconds. A shift in tone, changing expectations can be priced in before the full statement is even released – often making the statement redundant and merely ambient noise.
This speed brings noise – but this noise can be a trading opportunity. Posts on policy decisions, even before the fact can be misread, clips are taken out of context and rumours spread faster than corrections (which is great for decentralised, prediction markets by the way). Markets increasingly overreact to the first interpretation (which could be formed by the voices with little to no authority) and then reverse once the detail is understood.
This raises a really interesting question. Does social media make forward guidance more powerful, because messages reach markets instantly and directly? Or does it make guidance less reliable, because the official message now competes with a crowd of unofficial ones? The honest answer is probably both. Guidance is now faster and further reaching, but also more fragile and noisier.
What this means for traders and TraderUI?
In the environment highlighted above, every post is potential guidance, but not every post is credible guidance. The art and skills rests in telling them apart and doing so in a (very) quick manner.
Once again, this is a conditional, but informed judgement. What are we talking about? What is the current environment? What was the past policy decision? The one before that? Who said it? How did they say it? Do their colleagues agree? Did the markets expect it? Which markets did? What has the US done? Does it confirm or contradict what other policymakers are saying? What is fiscal policy doing? Is monetary and fiscal policy coordinated? How soon could this all take effect? The list is almost endless! Amongst the rest!
These are the questions an experienced trader asks instinctively, and they are the questions TraderUI's analysis is built to help answer. TraderUI was built by a team of experienced traders, PhD level financial economists and financial coders, in many ways because we saw this shift happening. Economics was moving onto social media, and the tools traders relied on were not built to interpret it, nor with speed, nor with the scale and reach of voices.
For every post on the dashboard, our bespoke models assess not just what was said, but who said it, how credible it is, and when it is likely to matter, amongst the rest. A president announcing a tariff pause, a journalist reporting on the Fed's next move, a CEO posting about their company and an anonymous account sharing a dramatic image are not treated as equal. Each is weighed just as an experienced trader would weigh it.
The analysis then goes further. It classifies the post's sentiment as risk-on or risk-off (see our recent blog on this), traces how it is likely to ripple through different markets, and separates the winners from the losers, as in our earlier analysis of the US fuel economy rule. It does so in the language of probability rather than certainty, because in reflexive social systems, no single post dictates the market's direction.
And it does this instantly, for every post, around the clock. No human can read and weigh the entire feed, especially when news breaks overnight or in the middle of a busy session. However, TraderUI can.
Economics has moved onto social media. Understanding it there requires the same conditional thinking that has always separated experienced traders from the rest. TraderUI puts that thinking in your dashboard, the moment the news breaks.