Markets
News
Analysis
User
24/7
Economic Calendar
Education
Data
- Names
- Latest
- Prev












Signal Accounts for Members
All Signal Accounts
All Contests



U.K. Trade Balance Non-EU (SA) (Oct)A:--
F: --
P: --
U.K. Trade Balance (Oct)A:--
F: --
P: --
U.K. Services Index MoMA:--
F: --
P: --
U.K. Construction Output MoM (SA) (Oct)A:--
F: --
P: --
U.K. Industrial Output YoY (Oct)A:--
F: --
P: --
U.K. Trade Balance (SA) (Oct)A:--
F: --
P: --
U.K. Trade Balance EU (SA) (Oct)A:--
F: --
P: --
U.K. Manufacturing Output YoY (Oct)A:--
F: --
P: --
U.K. GDP MoM (Oct)A:--
F: --
P: --
U.K. GDP YoY (SA) (Oct)A:--
F: --
P: --
U.K. Industrial Output MoM (Oct)A:--
F: --
P: --
U.K. Construction Output YoY (Oct)A:--
F: --
P: --
France HICP Final MoM (Nov)A:--
F: --
P: --
China, Mainland Outstanding Loans Growth YoY (Nov)A:--
F: --
P: --
China, Mainland M2 Money Supply YoY (Nov)A:--
F: --
P: --
China, Mainland M0 Money Supply YoY (Nov)A:--
F: --
P: --
China, Mainland M1 Money Supply YoY (Nov)A:--
F: --
P: --
India CPI YoY (Nov)A:--
F: --
P: --
India Deposit Gowth YoYA:--
F: --
P: --
Brazil Services Growth YoY (Oct)A:--
F: --
P: --
Mexico Industrial Output YoY (Oct)A:--
F: --
P: --
Russia Trade Balance (Oct)A:--
F: --
P: --
Philadelphia Fed President Henry Paulson delivers a speech
Canada Building Permits MoM (SA) (Oct)A:--
F: --
P: --
Canada Wholesale Sales YoY (Oct)A:--
F: --
P: --
Canada Wholesale Inventory MoM (Oct)A:--
F: --
P: --
Canada Wholesale Inventory YoY (Oct)A:--
F: --
P: --
Canada Wholesale Sales MoM (SA) (Oct)A:--
F: --
P: --
Germany Current Account (Not SA) (Oct)A:--
F: --
P: --
U.S. Weekly Total Rig CountA:--
F: --
P: --
U.S. Weekly Total Oil Rig CountA:--
F: --
P: --
Japan Tankan Large Non-Manufacturing Diffusion Index (Q4)--
F: --
P: --
Japan Tankan Small Manufacturing Outlook Index (Q4)--
F: --
P: --
Japan Tankan Large Non-Manufacturing Outlook Index (Q4)--
F: --
P: --
Japan Tankan Large Manufacturing Outlook Index (Q4)--
F: --
P: --
Japan Tankan Small Manufacturing Diffusion Index (Q4)--
F: --
P: --
Japan Tankan Large Manufacturing Diffusion Index (Q4)--
F: --
P: --
Japan Tankan Large-Enterprise Capital Expenditure YoY (Q4)--
F: --
P: --
U.K. Rightmove House Price Index YoY (Dec)--
F: --
P: --
China, Mainland Industrial Output YoY (YTD) (Nov)--
F: --
P: --
China, Mainland Urban Area Unemployment Rate (Nov)--
F: --
P: --
Saudi Arabia CPI YoY (Nov)--
F: --
P: --
Euro Zone Industrial Output YoY (Oct)--
F: --
P: --
Euro Zone Industrial Output MoM (Oct)--
F: --
P: --
Canada Existing Home Sales MoM (Nov)--
F: --
P: --
Euro Zone Total Reserve Assets (Nov)--
F: --
P: --
U.K. Inflation Rate Expectations--
F: --
P: --
Canada National Economic Confidence Index--
F: --
P: --
Canada New Housing Starts (Nov)--
F: --
P: --
U.S. NY Fed Manufacturing Employment Index (Dec)--
F: --
P: --
U.S. NY Fed Manufacturing Index (Dec)--
F: --
P: --
Canada Core CPI YoY (Nov)--
F: --
P: --
Canada Manufacturing Unfilled Orders MoM (Oct)--
F: --
P: --
Canada Manufacturing New Orders MoM (Oct)--
F: --
P: --
Canada Core CPI MoM (Nov)--
F: --
P: --
Canada Manufacturing Inventory MoM (Oct)--
F: --
P: --
Canada CPI YoY (Nov)--
F: --
P: --
Canada CPI MoM (Nov)--
F: --
P: --
Canada CPI YoY (SA) (Nov)--
F: --
P: --
Canada Core CPI MoM (SA) (Nov)--
F: --
P: --


No matching data
Latest Views
Latest Views
Trending Topics
Top Columnists
Latest Update
White Label
Data API
Web Plug-ins
Affiliate Program
View All

No data
Explore Brazil Potash's IPO, its role in sustainable agriculture, and how it aims to transform Brazil's potash market with eco-friendly solutions. Learn about GRO’s journey to provide local, cost-effective potash.
India could end up paying $30 billion annually for imported solar panels if it is to hit its 2030 capacity target of 500 GW in wind and solar.
The forecast comes from a local think tank, the Global Trade Research Initiative, which said such a path would deepen the dependence of the country on its neighbor China, the Business Standard reported. The think tank added that building its own solar components supply chain at home would be a challenge, requiring substantial investment, especially in polysilicon and wafers, ET Energy World noted in a report.
As things stand now, India does manufacture some equipment locally but it is heavily dependent on input imports, the founder of the Global Trade Research Initiative told the publication.
“Local production is import-dependent and mainly focuses on the final two stages,” he explained. “90 percent of solar manufacturing in India involves assembling solar modules from imported cells with 15% local value addition,” Ajay Srivastava said.
India is already installing solar and wind capacity fast but nowhere near fast enough if it wants to make that 2030 target. In fiscal 2023-24, total solar installations in the country stood at 15 GW, bringing the national total to 90.8 GW as of September.
That was up from a meager 2.8 GW in newly installed capacity back in 2014. However, it was way short of what needs to be added on an annual basis, which is between 65 GW and 70 GW, according to the Global Trade Research Initiative. As much as 80% of this would come from solar, the think tank said.
“This target seems ambitious, particularly given India's reliance on imports, which could push solar import to USD 30 billion annually,” GTRI said in its report. In its last fiscal year, India imported solar components and equipment worth $7 billion, with 62.6% of that total coming from China.
Germany’s government has approved plans for the development of a hydrogen network that would cost 19 billion euros, equivalent to $20.5 billion.
The plan would include converting natural gas pipelines into infrastructure for the transportation of hydrogen, building new pipelines as well, and connecting them all with big industrial energy consumers to help them decarbonize, Bloomberg reports.
The natural gas pipeline conversion would cost some 2 billion euros, the report notes. The whole network would span over 9,000 kilometers and be completed by 2032, with the first pipelines going online in 2025.
Germany has already signaled previously it has big ambitions in the hydrogen space, and more specifically in the green hydrogen space. However, that very same space has seen several project cancellations recently as their authors conclude the market conditions are not conducive to the success of these projects.
Denmark’s Ørsted said earlier this month it would abandon a project that was supposed to produce green hydrogen from wind power installations, saying that “a sub-scale demonstration plant like this no longer has a relevance in the current market.”
Spain’s Repsol just this week said it would suspend all investments in green hydrogen in its home market as it braces up for the possibility of windfall taxes for the energy industry becoming a permanent fixture of the local regulatory landscape. The company warned that tax would discourage investments in the nascent green hydrogen market.
Green hydrogen is the cleanest form of the element and an energy source that many transition advocates are placing great value on. However, it is an expensive process that involves considerable energy losses during the conversion of water into its constituent elements, prompting ample criticism that appears to have gone unheeded in Berlin. Germany plans to become climate-neutral by 2045.
The latest polls suggest the upcoming US election is a close call, but financial and betting markets have recently swung more in favour of a Donald Trump win. We will walk you through the numbers in key battleground states, discuss how we see market positioning in the two weeks leading to the election, and explore the potential initial reactions in FX.
Polls averages and simulations from FiveThirtyEight (ABC News); betting odds from Kalshi and Betfair. Other sources: CNN, Associated Press, ING calculationsThe table above summarises what polls and betting markets are telling us about the upcoming Presidential election for seven battlegrounds (or “swing”) states and the national outlook. According to the latest poll aggregates, 226 electoral college votes are either solidly or leaning Democrat, while 219 are for the Republicans. The seven battleground states listed are closely contested, with leads within the statistical margin of error. To reach the 270 electoral college win threshold, Harris needs to secure 44 of the 73 available swing state votes; Trump needs 51 – assuming all lock/lean states don’t flip.
If the latest poll averages (third column) prove correct, Trump wins the election with Republican lock/lean votes (219) + Arizona (11) + Georgia (16) + North Carolina (16) + Pennsylvania (19) = 281 electoral college votes. Harris would need to win all states where she is already ahead in the polls (including Michigan, Nevada and Wisconsin) plus another 13 electoral college votes from the swing states where Trump is currently leading. That means securing Arizona (11) alone wouldn’t be enough, and Harris would need to win either Georgia (16), North Carolina (16) or Pennsylvania (19), with the latter widely seen as the state that can tip the balance.
While there is no simple market measure of the Harris/Trump implied probability, betting markets are often taken as a benchmark. In the table above, we see that the traditional bookmaker (Betfair) odds highly favour Trump. We also looked at the CFTC-regulated portal Kalshi, where it is possible to buy/sell the equivalent of binary options on either candidate.

Kalshi’s election winner market only started in October, so the chart above uses data from PredictIt, an analogue election-betting website. Both Kalshi and PredictIt implied probability of a win has generally been leaning more in favour of Trump relative to what poll-based simulations were suggesting. Remember that these portals work similarly to stock markets, where the price is determined by buying and selling volume.
The rise in bets on Trump in such markets is probably a reflection of both polls and some hedging, considering a Trump win is seen as the more impactful event for markets. Incidentally, in both 2016 and 2020, the Republicans fared markedly better than polls and betting markets had anticipated, and that can also explain why betting markets have been favouring Trump this time.
In the last two US presidential elections, the cost of FX hedging increased significantly in the two weeks leading up to the vote. One way to measure this is the ratio of one-month implied volatility to one-month historical volatility. A ratio above 1.0 suggests that markets anticipate larger spot movements in the upcoming month compared to the previous 30 days.

As you can see above, the implied/historical volatility ratio increased markedly in the 14 days preceding the 2020 and 2016 election days for G10 dollar crosses. We expect a similar dynamic this time, especially considering the latest polls are narrowly favouring Trump, whose win can generate larger volatility across the currency market. Since that hedging demand should mostly be related to protection for a Trump-led dollar rally, we think the balance of risks remains skewed to a stronger USD into the vote.
In particular, we remain concerned that some de-risking in the FX market can lead to poorer liquidity conditions. The Norwegian krone is often a good indicator of such conditions, given it is the least liquid G10 currency. Despite good fundamentals, we suspect EUR/NOK can trade back above 12.0 before the US election.
Since mid-October, markets have gradually priced in more Trump risk, mainly through higher US rates, pressure on emerging market currencies and some USD strength. This means that a potential “relief” rally following a Harris win can now be larger and hit the dollar harder.
That said, the FX market is not fully pricing in a Trump victory. The dollar’s strength is still mostly a function of stronger US data, and EUR/USD (currently at 1.082) is trading less than 1% below its short-term fair value. An undervaluation of at least 2% (the 1.5 standard deviation) would be needed to conclude there is a Trump-related risk premium embedded in the pair.
Over the recent period, EM currencies have sold off on the strong dollar but have not – yet – substantially underperformed G10 currencies. This may change. Most vulnerable could be CEE currencies, which have double exposure through EUR crosses and large export openness, translating into sensitivity to potential changes in global trade in the case of a Trump victory.
At the moment, HUF seems the most exposed within the region where the central bank does not have many options to defend the currency and the market has already outpriced any rate cuts over the last two weeks. On the other hand, the CZK and PLN seem more defensive and may also benefit from a possible relief in case of a Harris victory.
Elsewhere, things could have been worse for the Latin and Asian currencies were it not for recent Chinese stimulus measures. Yet both blocs still look vulnerable to further losses under a full Trump 2.0.

The 2020 Presidential election was somewhat unique, and results were significantly delayed due to the very high number of mail-in ballots and the Republicans contesting the count in some states. In the table at the top of this article, we summarised the point at which the key swing states were called by the Associated Press in the past three elections. It’s worth noting that Biden’s win was not officially called until the Saturday after the vote (so four days after).
There is probably a greater risk of a delay in the count and official results for this election compared to any other election before 2020, and news agencies may well be more careful in calling a state or the Presidency than in previous instances. Most swing states are on the East Coast, where polls close between 7PM and 8PM ET, but the high volume of mail-in ballots can cause delays. The preliminary results in Pennsylvania can have one of the deepest market impacts as this is seen as a must-win state for Harris, but local regulation allows mail-in votes to be counted only on Election Day, which can lead to a lengthy count.
Anyway, there is a good possibility the FX market will “call” the winner already on the night between 5 November and 6 November. We expect the initial reaction to mostly entail protectionism-related trades. This means the wider swings can be seen in AUD and NZD in the G10 space; in EM, Asian currencies and MXN will be particularly sensitive.



White Label
Data API
Web Plug-ins
Poster Maker
Affiliate Program
The risk of loss in trading financial instruments such as stocks, FX, commodities, futures, bonds, ETFs and crypto can be substantial. You may sustain a total loss of the funds that you deposit with your broker. Therefore, you should carefully consider whether such trading is suitable for you in light of your circumstances and financial resources.
No decision to invest should be made without thoroughly conducting due diligence by yourself or consulting with your financial advisors. Our web content might not suit you since we don't know your financial conditions and investment needs. Our financial information might have latency or contain inaccuracy, so you should be fully responsible for any of your trading and investment decisions. The company will not be responsible for your capital loss.
Without getting permission from the website, you are not allowed to copy the website's graphics, texts, or trademarks. Intellectual property rights in the content or data incorporated into this website belong to its providers and exchange merchants.
Not Logged In
Log in to access more features

FastBull Membership
Not yet
Purchase
Log In
Sign Up