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SYMBOL
LAST
BID
ASK
HIGH
LOW
NET CHG.
%CHG.
SPREAD
SOURCE
SPX
S&P 500 Index
7698.32
7698.32
7698.32
7732.21
7690.94
-45.66
-0.59%
--
--
DJI
Dow Jones Industrial Average
52183.23
52183.23
52183.23
52405.88
52086.13
-291.87
-0.56%
--
--
IXIC
NASDAQ Composite Index
26121.09
26121.09
26121.09
26286.46
26053.16
-428.76
-1.61%
--
--
USDX
US Dollar Index
101.825
101.825
101.905
102.270
101.755
-0.133
-0.13%
--
--
EURUSD
Euro / US Dollar
1.11635
1.11635
1.11645
1.11733
1.11042
+0.00113
+ 0.10%
--
--
GBPUSD
Pound Sterling / US Dollar
1.33639
1.33639
1.33649
1.33796
1.32955
+0.00397
+ 0.30%
--
--
XAUUSD
Gold / US Dollar
4006.96
4006.96
4007.30
4068.79
4005.53
-60.28
-1.48%
--
--
WTI
Light Sweet Crude Oil
101.173
101.173
101.203
101.530
99.081
-0.032
-0.03%
--
--

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US President Trump Reiterated His Intention To Rename The Gulf Of Mexico To The United States Gulf

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US President Trump Reiterated That The Iran Conflict Will End Soon

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Russian President Putin: If Things Go Too Far, There Will Be No Winners

TIME
ACT
FCST
PREV
IMPACT
South Africa PPI YoY (Sept)

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Euro Zone Consumer Inflation Expectations (Oct)

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Euro Zone Selling Price Expectations (Oct)

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Euro Zone Industrial Climate Index (Oct)

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Euro Zone Consumer Confidence Index Final (Oct)

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Euro Zone Economic Sentiment Indicator (Oct)

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Euro Zone Services Sentiment Index (Oct)

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Italy 5-Year BTP Bond Auction Avg. Yield

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  • EURUSD
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  • USDX
Italy 10-Year BTP Bond Auction Avg. Yield

A:--

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  • EURUSD
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  • USDX
U.S. Initial Jobless Claims 4-Week Avg. (SA)

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  • XAUUSD
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U.S. Weekly Continued Jobless Claims (SA)

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  • XAUUSD
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U.S. Real Personal Consumption Expenditures MoM (Sept)

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USDX
  • USDX
  • XAUUSD
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  • WTI
U.S. PCE Price Index MoM (Sept)

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  • XAUUSD
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  • WTI
  • USDX
U.S. Personal Income MoM (Sept)

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USDX
  • USDX
  • XAUUSD
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  • WTI
U.S. PCE Price Index YoY (SA) (Sept)

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XAUUSD
  • XAUUSD
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  • WTI
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U.S. PCE Price Index Prelim QoQ (SA) (Q3)

A:--

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XAUUSD
  • XAUUSD
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  • WTI
  • USDX
U.S. Core PCE Price Index MoM (Sept)

A:--

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XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. GDP Deflator Prelim QoQ (SA) (Q3)

A:--

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XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Real Personal Consumption Expenditures Prelim QoQ (Q3)

A:--

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USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
U.S. Core PCE Price Index Annualized QoQ Prelim (SA) (Q3)

A:--

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XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Personal Outlays MoM (SA) (Sept)

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  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Real GDP Annualized QoQ Prelim (SA) (Q3)

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XAUUSD
  • XAUUSD
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  • WTI
  • USDX
U.S. Weekly Initial Jobless Claims (SA)

A:--

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XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
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U.S. Core PCE Price Index YoY (Sept)

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XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Euro Zone ECB Deposit Rate

A:--

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  • EURUSD
  • XAUUSD
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  • USDX
Euro Zone ECB Main Refinancing Rate

A:--

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EURUSD
  • EURUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Euro Zone ECB Marginal Lending Rate

A:--

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EURUSD
  • EURUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
ECB Monetary Policy Statement
ECB Press Conference
U.S. EIA Weekly Natural Gas Stocks Change

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
U.S. Dallas Fed PCE Price Index YoY (Sept)

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Brazil CAGED Net Payroll Jobs (Sept)

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U.S. Weekly Treasuries Held by Foreign Central Banks

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South Korea Retail Sales MoM (Sept)

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South Korea Services Output MoM (Sept)

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South Korea Industrial Output MoM (SA) (Sept)

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Japan Tokyo CPI MoM (Oct)

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Japan Jobs to Applicants Ratio (Sept)

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Japan Tokyo CPI YoY (Oct)

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Japan Tokyo Core CPI YoY (Oct)

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Japan Unemployment Rate (Sept)

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Japan Tokyo CPI MoM (Excl. Food & Energy) (Oct)

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Japan Retail Sales MoM (SA) (Sept)

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Japan Retail Sales YoY (Sept)

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Japan Industrial Output Prelim MoM (Sept)

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Japan Industrial Output Prelim YoY (Sept)

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Japan Industrial Inventory MoM (Sept)

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Japan Retail Sales (Sept)

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Australia PPI YoY (Q3)

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Australia PPI QoQ (Q3)

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Japan Benchmark Interest Rate

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BOJ Monetary Policy Statement
Japan Construction Orders YoY (Sept)

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Japan New Housing Starts YoY (Sept)

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France GDP Prelim YoY (SA) (Q3)

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BOJ Press Conference
Turkey Economic Sentiment Indicator (Oct)

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U.K. Nationwide House Price Index MoM (Oct)

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U.K. Nationwide House Price Index YoY (Oct)

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France PPI MoM (Sept)

--

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Germany Unemployment Rate (SA) (Oct)

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Q&A with Experts
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    EuroTrader flag
    SHIZEN
    @EuroTraderwhich one so better, a fixed or flexible risk in the market?
    @SHIZENWell it depends on what you wish to attend, but i prefer the flexible risk
    EuroTrader flag
    EuroTrader flag
    EuroTrader
    @SHIZENWell it depends on what you wish to attend, but i prefer the flexible risk
    @SHIZENThough you can have an average RR while doing that
    EuroTrader flag
    EuroTrader
    @SHIZENHere mate, this is what's happening on the EU market at the moment
    SHIZEN flag
    EuroTrader
    @SHIZENThough you can have an average RR while doing that
    @EuroTraderokay
    SHIZEN flag
    EuroTrader
    @SHIZENWell it depends on what you wish to attend, but i prefer the flexible risk
    @EuroTraderwhy do you prefer the flexible risk sir?
    EuroTrader flag
    SHIZEN
    @EuroTraderwhy do you prefer the flexible risk sir?
    @SHIZENIt's simple mate, all the set ups you will see in the market won't be the same
    EuroTrader flag
    EuroTrader
    @SHIZENIt's simple mate, all the set ups you will see in the market won't be the same
    @SHIZENThat's are some with a higher probability than others, some traders call it A+
    EuroTrader flag
    EuroTrader
    @SHIZENThat's are some with a higher probability than others, some traders call it A+
    @SHIZENSo when you see such set up, you shouldn't be risking little because you are doing a fixed RR
    SHIZEN flag
    EuroTrader
    @SHIZENHere mate, this is what's happening on the EU market at the moment
    @EuroTraderokay thanks a lot for this, EU is still shooting up
    SHIZEN flag
    EuroTrader
    @SHIZENThat's are some with a higher probability than others, some traders call it A+
    @EuroTraderyesh okay this is valid sir.
    SHIZEN flag
    EuroTrader
    @SHIZENThat's are some with a higher probability than others, some traders call it A+
    @EuroTraderSo howany percentage do you think the trade could add to such a set up
    EuroTrader flag
    SHIZEN
    @EuroTraderokay thanks a lot for this, EU is still shooting up
    @SHIZENyeah mate that's what we are seeing at the moment, and from there we will change structure
    EuroTrader flag
    SHIZEN
    @EuroTraderSo howany percentage do you think the trade could add to such a set up
    @SHIZENThis heavily depends on the trade mate, it's not a general rule
    EuroTrader flag
    EuroTrader
    @SHIZENThis heavily depends on the trade mate, it's not a general rule
    @SHIZENHowever, i can tell you that even when adding some weight to the lots, you should take a calculated risk
    SHIZEN flag
    EuroTrader
    @SHIZENThis heavily depends on the trade mate, it's not a general rule
    @EuroTraderokay maybe I'll work on this too
    SHIZEN flag
    EuroTrader
    @SHIZENThis heavily depends on the trade mate, it's not a general rule
    @EuroTraderi didn't know this is another part o should work on before
    SHIZEN flag
    EuroTrader
    @SHIZENHowever, i can tell you that even when adding some weight to the lots, you should take a calculated risk
    @EuroTraderyes I've heard of this many times, thank you sir
    EuroTrader flag
    SHIZEN
    @EuroTraderokay maybe I'll work on this too
    @SHIZENyeah please do and if you need any guidance, I'm always here to help
    EuroTrader flag
    SHIZEN
    @EuroTraderi didn't know this is another part o should work on before
    @SHIZENWhy not brother, you should work on every part of your trading to be profitable mate
    Type here...
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          Affordability of Long-term Care Systems in Times of Rapid Population Ageing

          CEPR

          Economic

          Summary:

          This column compares the impact of diverse social protection measures across 32 OECD and EU countries on poverty rates and out-of-pocket expenses among older adults with care needs.

          Population ageing is accelerating rapidly. Across OECD countries, the share of people aged 65+ has doubled from less than 9% in 1960 to 18% as of 2021 (OECD 2023) and is expected to reach 27% by 2050, increasing demand for long-term care services (Kotschy and Bloom 2022). At the same time, there is growing public pressure to reduce the care burden on families and individuals in favour of government funding and the provision of long-term care (Ilinca and Simmons 2022). Combined with the rising costs of care (OECD 2023), these trends are adding pressure to the fiscal sustainability of public long-term care systems. Ensuring the cross-country comparability of the costs and benefits of public long-term care schemes in 32 OECD and EU countries, a new OECD report compares current long-term care costs across countries and presents evidence on the effectiveness of public expenditures in alleviating the financial burden on care recipients.

          Despite public support, long-term care remains unaffordable for many older people

          Without sufficient public support, long-term care services are unaffordable for most older people. The average long-term care cost for individuals with low care needs, already 42% of the median income of older people (without public support), could reach 259% for those with severe care needs. Even though all OECD countries included in the report cover at least part of the cost through benefit schemes, individuals’ out-of-pocket expenses remain substantial, particularly for older people with severe needs (see Figure 1). On average, these costs represent over 70% of the median income of older people across OECD countries, even after accounting for public social protection. However, there is significant variation among the analysed countries. In the Nordic countries such as Finland, Iceland, and Denmark, out-of-pocket costs remain below 5% of median income, while in Italy and Estonia, these costs exceed 150%, effectively pushing older adults into poverty or leaving them with unmet care needs.
          Affordability of Long-term Care Systems in Times of Rapid Population Ageing_1
          High out-of-pocket expenses for long-term care significantly increase the poverty risk among older people (see Figure 2). On average, poverty rates for older adults with long-term care needs are 31 percentage points higher than for the general older population. The long-term care systems in Scandinavian countries, Luxembourg, and the Netherlands are among the most effective at reducing poverty risks linked to care expenses. In contrast, the poverty risk among long-term care recipients in Italy and Spain is much higher – more than 60 percentage points – in comparison to the total older population (aged 65+).
          Affordability of Long-term Care Systems in Times of Rapid Population Ageing_2

          Policy options to tackle growing demand for long-term care services

          Rising costs, growing demand, and low productivity gains are placing substantial financial pressure on public long-term care systems. The OECD report analyses how this financial pressure could impact future long-term care spending under different scenarios (see Figure 3). In the first scenario (the ‘ageing scenario’) – whereby countries maintain the current level of support and the existing share of older adults with needs receiving long-term care – expenditures are projected to rise by an average of 91% by 2050. In the second scenario (the ‘high coverage scenario’), which assumes an increase to 60% of the share of older adults with care needs, expenditures would increase by 144%. Finally, in the ‘no copayment scenario’, out-of-pocket expenses are fully eliminated and long-term care expenditures grow by more than 300%.
          Affordability of Long-term Care Systems in Times of Rapid Population Ageing_3
          While population ageing is unavoidable, countries can help older populations adopt healthier lifestyles and introduce preventive measures to reduce dependency and health issues for as long as possible. Programmes like home visits in Scandinavian countries have proven to be cost-effective by increasing the number of active, healthy years (Kronborg et al. 2006). Such policies could reduce future long-term care spending by 13% compared to the baseline high coverage scenario (see healthy ageing scenario, Figure 3).
          Although labour productivity growth in the long-term care sector remains low or even negative (OECD 2023), emerging technologies could be put to better use to help reduce overall care costs. OECD simulations suggest that if productivity growth in long-term care reached even half the average productivity growth of the overall economy, long-term care spending by 2050 could be 13% lower than in the baseline high coverage scenario (see productivity growth scenario, Figure 3). New user-centred support tools, such as environmental and wearable sensors, can assist long-term care providers in monitoring, positioning, and recognising physical movements (Bibbò et al. 2022). Virtual carers also play an increasingly important role, supporting both care recipients and providers in managing conditions like diabetes, depression, and heart failure (Bin Sawad et al. 2022).
          While taxes are the most common source of long-term care funding, some countries have introduced public long-term care insurance to achieve better risk-sharing and address transparency challenges. For example, Slovenia introduced a long-term care insurance scheme in 2023, aiming to create a more comprehensive system, improve funding transparency, and avoid increasing public-sector debt.
          With limited public resources, countries may prioritise supporting individuals most in need: those with low incomes and those with severe long-term care needs. An example of such a policy would be capping out-of-pocket expenses at 60%, 40%, and 20% of care costs for older adults with low, moderate, and severe needs, respectively. Our simulation reveals that such a needs-testing approach could be an attractive option for countries like Latvia, Malta, and Hungary. In these cases, the simulation indicates that this strategy could reduce overall public long-term care spending without significantly increasing the poverty risk among recipients (OECD 2024).
          Furthermore, more progressive cost-sharing across the income distribution can help manage long-term care budgets and limit poverty among care recipients. Almost 90% of OECD and EU countries analysed in the report apply some form of income-testing to define levels of support, but individuals with low incomes still face a significantly higher risk of poverty. Optimising income-testing to focus on vulnerable populations can further improve outcomes. In about one-third of the analysed OECD countries, this approach leads to lower long-term care spending and reduces poverty among care recipients, or at least contains spending without increasing poverty rates (OECD 2024).

          Conclusion

          Achieving fair access to long-term care and the fiscal sustainability of public systems amid population ageing is a challenge for policymakers. The OECD analysis reveals that existing systems are often unaffordable and badly targeted: there is substantial room for improvement and reforms. The promotion of healthy ageing, proactive use of new technologies to elevate the care sector’s productivity, revision of eligibility rules to enable more targeted and inclusive coverage, diversification of funding sources, and optimisation of income-testing are all viable policy options. Each is worth exploring in the search for resilient long-term care systems that can withstand demographic shifts and evolving societal needs.
          To stay updated on all economic events of today, please check out our Economic calendar
          Risk Warnings and Disclaimers
          You understand and acknowledge that there is a high degree of risk involved in trading. Following any strategies or investment methods may lead to potential losses. The content on the site is provided by our contributors and analysts for information purposes only. You are solely responsible for determining whether any trading assets, securities, strategy, or any other product is suitable for investing based on your own investment objectives and financial situation.
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