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Tradr 1.75X Long NVDA Weekly ETF

No trades
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Key stats


Assets under management (AUM)
‪937.64 K‬USD
Fund flows (1Y)
‪−236.57 K‬USD
Dividend yield (indicated)
Discount/Premium to NAV
1.06%

About Tradr 1.75X Long NVDA Weekly ETF


Issuer
SR Partners LLC
Brand
Tradr
Expense ratio
1.30%
Home page
Inception date
Sep 3, 2024
Index tracked
NVIDIA Corporation
Management style
Passive
NVDW is a short-term tactical tool that provides 1.75x leveraged exposure to the weekly performance of NVDA. The strategy involves entering into one or more swap agreements intended to produce leveraged investment results relative to the returns of NVDA. Unlike traditional ETFs, NVDW introduces added volatility due to its lack of diversification and use of leverage. Holdings are rebalanced weekly to maintain the 175% exposure. However, if NVDAs price drops by 28% or more during a week, the fund will rebalance early to protect against further losses, although this may prevent it from meeting its target return for that week. To maximize results, the fund places its remaining cash in US government securities, money market funds, short-term bond ETFs, or high-quality corporate debt as collateral. The fund is designed for investors with a high-risk tolerance and a short-term outlook.

Classification


Asset Class
Equity
Category
Sector
Focus
Information technology
Niche
Semiconductors
Strategy
Vanilla
Weighting scheme
Single asset
Selection criteria
Single asset
What's in the fund
Exposure type
Bonds, Cash & Other
Cash
Miscellaneous
Bonds, Cash & Other100.00%
Cash70.70%
Miscellaneous29.30%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Oscillators
Neutral
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Summary
Neutral
SellBuy
Strong sellStrong buy
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Summary
Neutral
SellBuy
Strong sellStrong buy
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Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.