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SYMBOL
LAST
BID
ASK
HIGH
LOW
NET CHG.
%CHG.
SPREAD
SOURCE
SPX
S&P 500 Index
7656.97
7656.97
7656.97
7677.02
7636.75
+65.28
+ 0.86%
--
--
DJI
Dow Jones Industrial Average
52573.29
52573.29
52573.29
52720.24
52204.46
+509.19
+ 0.98%
--
--
IXIC
NASDAQ Composite Index
26333.03
26333.03
26333.03
26431.22
26283.11
+251.31
+ 0.96%
--
--
USDX
US Dollar Index
99.080
99.080
99.160
0.000
0
0.000
0.00%
--
--
EURUSD
Euro / US Dollar
1.15684
1.15684
1.15691
1.15965
1.15620
-0.00288
-0.25%
--
--
GBPUSD
Pound Sterling / US Dollar
1.35032
1.35032
1.35042
1.35280
1.35002
-0.00218
-0.16%
--
--
XAUUSD
Gold / US Dollar
4337.59
4337.59
4337.93
4355.21
4321.98
-11.47
-0.26%
--
--
WTI
Light Sweet Crude Oil
98.302
98.302
98.332
99.615
98.133
+1.728
+ 1.79%
--
--

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ECB Governing Council Member Kassacs: The Possibility Of Further Policy Tightening Is Increasing, And We Can Take Action Gradually Without Rushing

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ECB Governing Council Member Kassacs: The Output Gap Is Narrowing, Which Means That The Transmission To Prices And Wages May Be Strengthened

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The Most Active Soybean Futures Contract (No. 1) Fell 2.00% Intraday, Currently Trading At 5012.00 Yuan/ton. The Most Active Soybean Futures Contract (No. 2) Fell More Than 2.00% Intraday, Currently Trading At 4074.00 Yuan/ton

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The Most Active Palm Oil Contract Touched 10,000 Yuan/ton, Down 1.50% On The Day

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South Korea's Ministry Of Foreign Affairs Condemned The Houthi Attacks On Saudi Civilians And Economic Facilities And Called For An Immediate Halt

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Ukrainian President Volodymyr Zelenskyy Has Called On Parliament To Remove The Prosecutor General From Office As Soon As Possible

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According To Saudi Media Hadas, Saudi-backed Yemeni Armed Forces Have Recaptured Southwestern Positions In Taiz That Had Been Infiltrated By Houthi Rebels

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Bangladesh's Energy Minister: Bangladesh Has Had To Purchase From The Spot Market To Replace The 110 LNG Shipments Originally Planned To Be Imported From Qatar

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U.S. Treasury Yields Mostly Declined As Markets Await A Federal Reserve Rate Hike

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The Main Plastic Futures Contract Fell By 2.00% During The Day, Currently Trading At 8532.00 Yuan/ton

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The Main Starch Futures Contract Fell By 2.00% During The Day, Currently Trading At 2459.00 Yuan/ton

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The Main Shanghai Zinc Contract Fell By 2.00% During The Day, Currently Trading At 26,285.00 Yuan/ton

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Institution: Last Week's Rise In U.S. Treasury Yields Was Driven By Oil Prices

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BNP Paribas: Expects The Federal Reserve To Raise Interest Rates Three Times Between September 2026 And January 2027

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The Main Ethylene Glycol Contract Fell 2.00% During The Day, Currently Trading At 5800.00 Yuan/ton

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The Main Styrene (EB) Contract Fell To 10,100 Yuan/ton, Down 1.99% On The Day

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The Main Caustic Soda Contract Fell By 4.00% During The Day, And Is Currently Trading At 1888 Yuan/ton

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According To Interfax News Agency, The Fire At The Factory In Nizhny Kamsk, Russia, Which Was Attacked By Drones, Has Been Extinguished

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JERA Global CEO: Starting January 1st Next Year, Russian Liquefied Natural Gas And Natural Gas Supplies To Europe Will Cease, And Natural Gas Prices May Rise Further

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JERA Global CEO: European Natural Gas Inventories Are Low, And The Situation In The Strait Of Hormuz May Continue

TIME
ACT
FCST
PREV
IMPACT
U.K. Inflation Rate Expectations

A:--

F: --

P: --

GBPUSD
  • GBPUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Russia Key Rate

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
India Deposit Gowth YoY

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Brazil CPI YoY (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Mexico Industrial Output YoY (Jul)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Core CPI YoY (Not SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Core CPI MoM (SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Core CPI (SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. CPI MoM (SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. CPI YoY (Not SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. CPI MoM (Not SA) (Aug)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Real Income MoM (SA) (Aug)

A:--

F: --

P: --
USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
Germany Current Account (Not SA) (Jul)

A:--

F: --

P: --
EURUSD
  • EURUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Russia Trade Balance (Jul)

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
U.S. UMich Consumer Expectations Index Prelim (Sept)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
U.S. UMich Current Economic Conditions Index Prelim (Sept)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
U.S. UMich Consumer Sentiment Index Prelim (Sept)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
U.S. UMich 1-Year-Ahead Inflation Expectations Prelim (Sept)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. 5-10 Year-Ahead Inflation Expectations (Sept)

A:--

F: --

P: --

XAUUSD
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
U.S. Cleveland Fed CPI MoM (Aug)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
Russia CPI YoY (Aug)

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
U.S. Weekly Total Oil Rig Count

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
U.S. Weekly Total Rig Count

A:--

F: --

P: --

WTI
  • WTI
  • XAUUSD
  • XAGUSD
  • USDX
ECB Chief Economist Lane Speaks
U.S. Budget Balance (Aug)

A:--

F: --

P: --

USDX
  • USDX
  • XAUUSD
  • XAGUSD
  • WTI
ECB President Lagarde Speaks
China, Mainland Social Financing Scale (Aug)

--

F: --

P: --

China, Mainland M0 Money Supply YoY (Aug)

--

F: --

P: --

China, Mainland M1 Money Supply YoY (Aug)

--

F: --

P: --

China, Mainland M2 Money Supply YoY (Aug)

--

F: --

P: --

Japan Industrial Output Final YoY (Jul)

A:--

F: --

P: --

USDJPY
  • USDJPY
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
Japan Industrial Output Final MoM (Jul)

A:--

F: --

P: --

USDJPY
  • USDJPY
  • XAUUSD
  • XAGUSD
  • WTI
  • USDX
China, Mainland Outstanding Loans Growth YoY (Aug)

--

F: --

P: --

India CPI YoY (Aug)

--

F: --

P: --

Canada National Economic Confidence Index

--

F: --

P: --

Canada Manufacturing Inventory MoM (Jul)

--

F: --

P: --

Canada CPI MoM (Aug)

--

F: --

P: --

Canada CPI YoY (Aug)

--

F: --

P: --

Canada Core CPI YoY (Aug)

--

F: --

P: --

Canada Trimmed CPI YoY (SA) (Aug)

--

F: --

P: --

Canada Manufacturing Unfilled Orders MoM (Jul)

--

F: --

P: --

Canada Manufacturing New Orders MoM (Jul)

--

F: --

P: --

Canada Core CPI MoM (Aug)

--

F: --

P: --

China, Mainland Urban Area Unemployment Rate (Aug)

--

F: --

P: --

China, Mainland Industrial Output YoY (YTD) (Aug)

--

F: --

P: --

U.K. Unemployment Claimant Count (Aug)

--

F: --

P: --

U.K. 3-Month ILO Employment Change (Jul)

--

F: --

P: --

U.K. 3-Month ILO Unemployment Rate (Jul)

--

F: --

P: --

U.K. Unemployment Rate (Aug)

--

F: --

P: --

Saudi Arabia CPI YoY (Aug)

--

F: --

P: --

U.K. Average Weekly Earnings (3-Month Average, Excluding Bonuses) YoY (Jul)

--

F: --

P: --

U.K. Average Weekly Earnings (3-Month Average, Including Bonuses) YoY (Jul)

--

F: --

P: --

France HICP Final MoM (Aug)

--

F: --

P: --

Canada Existing Home Sales MoM (Aug)

--

F: --

P: --

Euro Zone ZEW Economic Sentiment Index (Sept)

--

F: --

P: --

Germany ZEW Economic Sentiment Index (Sept)

--

F: --

P: --

Germany ZEW Current Conditions Index (Sept)

--

F: --

P: --

Euro Zone ZEW Current Conditions Index (Sept)

--

F: --

P: --

Euro Zone Trade Balance (SA) (Jul)

--

F: --

P: --

Euro Zone Trade Balance (Not SA) (Jul)

--

F: --

P: --

Germany 2-Year Schatz Auction Avg. Yield

--

F: --

P: --

Q&A with Experts
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    SlowBear ⛅ flag
    Eon
    Morning guys, the 4309 to 4275 is an interesting level for xauusd. Monitor it diligently
    @EonHello bro, how are you doing today?
    SlowBear ⛅ flag
    sanjeev
    my shorts just below 4361 opened on friday.just below trend change level now 4327
    @sanjeevAnd where is your target level for this short bro?
    Eon flag
    SlowBear ⛅
    @EonHello bro, how are you doing today?
    @SlowBear ⛅ I am doing well and your side bro?
    SlowBear ⛅ flag
    Eon
    @SlowBear ⛅ I am doing well and your side bro?
    @EonI am doing very well too brother, what are you trading today?
    sanjeev flag
    Eon flag
    SlowBear ⛅
    @EonI am doing very well too brother, what are you trading today?
    @SlowBear ⛅ I am planning for a bumpy week.. close attention to xauusd, usdjpy and eurusd
    sanjeev flag
    SlowBear ⛅
    @sanjeevAnd where is your target level for this short bro?
    @SlowBear ⛅ bro 4521 was my first tgt but reversed from 4322 now trailing sl 4343 for my shorts.if hits will give it.my shorts just below 4361 so will take the profit with a pinch of salt as tgt missed by one point but if breaks 4317 then ok
    SlowBear ⛅ flag
    Eon
    @SlowBear ⛅ I am planning for a bumpy week.. close attention to xauusd, usdjpy and eurusd
    @Eon same here bro, it could be on. of the most conseuential week of them all
    SlowBear ⛅ flag
    Eon
    @SlowBear ⛅ I am planning for a bumpy week.. close attention to xauusd, usdjpy and eurusd
    @EonI have my eyes on EURUSD and XAU as well, USDJPY i really do not see myself touching
    SlowBear ⛅ flag
    sanjeev
    @SlowBear ⛅ bro 4521 was my first tgt but reversed from 4322 now trailing sl 4343 for my shorts.if hits will give it.my shorts just below 4361 so will take the profit with a pinch of salt as tgt missed by one point but if breaks 4317 then ok
    @sanjeev oh well that is very good, i see you already have a full hang on the trade already i say ride on
    SlowBear ⛅ flag
    sanjeev
    @SlowBear ⛅ bro 4521 was my first tgt but reversed from 4322 now trailing sl 4343 for my shorts.if hits will give it.my shorts just below 4361 so will take the profit with a pinch of salt as tgt missed by one point but if breaks 4317 then ok
    @sanjeevAlso, with your target below 4355 or so, i think. i see that happening before NY market open
    sanjeev flag
    SlowBear ⛅
    @sanjeevAlso, with your target below 4355 or so, i think. i see that happening before NY market open
    @SlowBear ⛅ yeh bro very much possible today.if not today tommorow .if that happens it would be healthy for gold
    Benjamin Tailor flag
    Eurusd going down to more down. Could be up.
    SlowBear ⛅ flag
    sanjeev
    @SlowBear ⛅ yeh bro very much possible today.if not today tommorow .if that happens it would be healthy for gold
    @sanjeev yes if not today possibly tomorrow, but verall the shotr term momentum on gold is bearish
    Benjamin Tailor flag
    ?
    SlowBear ⛅ flag
    SlowBear ⛅
    @sanjeev yes if not today possibly tomorrow, but verall the shotr term momentum on gold is bearish
    @sanjeevAnd further decline is what i am anticipatiing for at themoment
    SlowBear ⛅ flag
    Benjamin Tailor
    Eurusd going down to more down. Could be up.
    @Benjamin TailorWell it could be up, if you are watching on the 4H timefra,e
    SlowBear ⛅ flag
    Benjamin Tailor
    ?
    @Benjamin TailorFocusing on the 15min i will say EURUSD would likely fall till after FOMC meeting
    3DX cheetah flag
    5530878 flag
    3DX cheetah
    @3DX cheetah you still holding you took you belongings 😀
    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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