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Analysis and improvements to the investment strategy in $BTC
For an individual or institutional investor looking to optimize their Bitcoin purchases based on MicroStrategy's corporate model, the following key improvements can be applied:
Scheduled Dollar-Cost Averaging (DCA): Instead of making impulsive purchases or trying to predict the market bottom/top, scheduling recurring purchases (weekly or monthly) mitigates the impact of short-term volatility and reduces emotional bias.
Value Averaging or Dynamic DCA technique: Adjust purchases to acquire more BTC during corrections or severe bear markets, and decrease the amount invested when the price approaches all-time highs.
Leverage risk mitigation: MicroStrategy finances much of its purchases by issuing convertible debt and shares. For a private investor, excessive use of leverage presents a high liquidation risk. The priority improvement is to maintain external liquidity (fiat/stablecoins) to face volatility cycles without being forced to sell during downturns.
Custody and security strategy: Complement accumulation with a self-custody protocol using cold wallets to eliminate counterparty risk on centralized platforms or exchanges.
Analyze and comment on our information.
#CreadorPad #squarecommunity
For an individual or institutional investor looking to optimize their Bitcoin purchases based on MicroStrategy's corporate model, the following key improvements can be applied:
Scheduled Dollar-Cost Averaging (DCA): Instead of making impulsive purchases or trying to predict the market bottom/top, scheduling recurring purchases (weekly or monthly) mitigates the impact of short-term volatility and reduces emotional bias.
Value Averaging or Dynamic DCA technique: Adjust purchases to acquire more BTC during corrections or severe bear markets, and decrease the amount invested when the price approaches all-time highs.
Leverage risk mitigation: MicroStrategy finances much of its purchases by issuing convertible debt and shares. For a private investor, excessive use of leverage presents a high liquidation risk. The priority improvement is to maintain external liquidity (fiat/stablecoins) to face volatility cycles without being forced to sell during downturns.
Custody and security strategy: Complement accumulation with a self-custody protocol using cold wallets to eliminate counterparty risk on centralized platforms or exchanges.
Analyze and comment on our information.
#CreadorPad #squarecommunity
#CreadorPad
Dusk is a layer 1 blockchain focused on regulated finance, privacy, and the tokenization of real-world assets (RWAs), enabling smart contracts with zero-knowledge proofs (ZK) and deterministic settlement.
$DUSK
#dusk
Dusk is a layer 1 blockchain focused on regulated finance, privacy, and the tokenization of real-world assets (RWAs), enabling smart contracts with zero-knowledge proofs (ZK) and deterministic settlement.
$DUSK
#dusk
💣💥💣💥💣💥💣💥💣💥
🤯 On August 18, Lagrange announced the results of the launch of DeepProve-1, the first zkMl system that demonstrates complete LLM inference.
DeepProve-1 is the first zkML (zero-knowledge machine learning) system developed by Lagrange Labs that allows generating cryptographic proofs of complete inferences from large language models (LLMs) like GPT-2.
DeepProve-1.
Features and achievements:
First complete LLM inference proof, DeepProve-1 managed to generate a zero-knowledge proof for the complete inference of GPT-2, a large language model from OpenAI.
Verifiability in AI, introduces verifiability as a core feature in modern AI systems, extending this to full transformer architectures.
Support for complex structures, handles computation graphs with residual connections, parallel branches, and variable length inputs, typical in LLMs.
Applications and relevance:
security and privacy: Allows verifying the results of an LLM without revealing input data or model details, crucial for applications in defense, healthcare, finance, and infrastructure.
Auditability, facilitates the auditing of decisions made by LLMs without compromising data privacy or the intellectual property of the model.
Developments and future plans
Performance optimization: Lagrange Labs is working on improving cryptographic efficiency and parallelism to make DeepProve-1 more practical in production environments.
Extension to other LLMs, the next goal is to support models like Meta's LLAMA, one of the most adopted open-source LLMs.
DeepProve-1 is a significant advancement in verifiable AI, enabling cryptographic proofs of LLM inferences.
$LA
@Lagrange Official
#lagrange
#creadorpad
#lagrangeholder
🤯 On August 18, Lagrange announced the results of the launch of DeepProve-1, the first zkMl system that demonstrates complete LLM inference.
DeepProve-1 is the first zkML (zero-knowledge machine learning) system developed by Lagrange Labs that allows generating cryptographic proofs of complete inferences from large language models (LLMs) like GPT-2.
DeepProve-1.
Features and achievements:
First complete LLM inference proof, DeepProve-1 managed to generate a zero-knowledge proof for the complete inference of GPT-2, a large language model from OpenAI.
Verifiability in AI, introduces verifiability as a core feature in modern AI systems, extending this to full transformer architectures.
Support for complex structures, handles computation graphs with residual connections, parallel branches, and variable length inputs, typical in LLMs.
Applications and relevance:
security and privacy: Allows verifying the results of an LLM without revealing input data or model details, crucial for applications in defense, healthcare, finance, and infrastructure.
Auditability, facilitates the auditing of decisions made by LLMs without compromising data privacy or the intellectual property of the model.
Developments and future plans
Performance optimization: Lagrange Labs is working on improving cryptographic efficiency and parallelism to make DeepProve-1 more practical in production environments.
Extension to other LLMs, the next goal is to support models like Meta's LLAMA, one of the most adopted open-source LLMs.
DeepProve-1 is a significant advancement in verifiable AI, enabling cryptographic proofs of LLM inferences.
$LA
@Lagrange Official
#lagrange
#creadorpad
#lagrangeholder
#USDT $USDT My investments in USDT haven't given me much of an edge. #CreadorPad Any coin suggestions?
#CreadorPad
$AAVE
this week I've been testing out new coins
I'd love some recommendations for investment
#AAVEUSDC
$AAVE
this week I've been testing out new coins
I'd love some recommendations for investment
#AAVEUSDC
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