On Chain Weekly Rebal Low Expo Strategy
•
0 likes•7 views
This strategy involves rebalancing a portfolio weekly that is 90% invested in stable coin farming and 10% split between long and short positions on other cryptocurrencies. The portfolio aims to benefit from both rising and falling prices of cryptocurrencies through the use of long and short positions while keeping the majority invested in stable coin yields.
Report
Share
Report
Share
Download to read offline
Recommended
Dynamical smart liquidity on decentralized exchanges for lucrative market making
This document discusses liquidity provision on Uniswap V3 and proposes algorithms for actively managing liquidity positions. It introduces the concept of concentrated liquidity on Uniswap V3 which allows liquidity providers to specify a price range. It discusses different configurations for liquidity provision including long, short, and market neutral approaches. It then presents algorithms for dynamically exiting liquidity positions based on trend signals, modeling historical fees, and determining optimal price range bounds while minimizing costs like impermanent loss and transaction fees.
Smart systematic short strangle
This document discusses two strategies for generating yield from bitcoin holdings:
1. A low frequency strategy that sells in-the-money covered calls with long durations of over 6 months, generating a large premium but capping upside gains.
2. A middle frequency strategy that rolls call options weekly with strikes unlikely to be reached, compounding the premium over time.
It also discusses optimizing call option maturities and strikes to guarantee a target yield percentage while allowing for varying degrees of upside potential.
Short Term Intraday Long Only Crypto Strategies
The document describes two short-term trading models for a spot market/long only strategy. Model 1 generates hourly oscillating signals for quick deleveraging, while Model 2 uses hourly RSI cutoffs from multiple timeframes. Backtests of Model 1 show average hourly turnover of 5.6% with 10 bps transaction costs included, and sensitivity analysis was performed by varying strategy parameters to assess robustness. Results for different parameter sets and the impact of transaction costs on profits are also presented.
Stable_pool_optimal_allocation.pdf
This document proposes an optimal stable coin folding strategy on the Aave protocol to generate yield. It describes iterating a "lend/borrow" strategy multiple times, or "folding", to increase yields in a low-risk manner due to stable coins' pegging and low liquidation risk. The strategy involves allocating assets optimally across multiple Aave pools to maximize total APY. It presents a linear optimization approach to solve this allocation problem that can be implemented efficiently on-chain. Numerical examples demonstrate the non-linear and linearized solutions. Finally, the relevant smart contract code is outlined.
Curve_fairness_IOUs.pdf
Curve pools multiple allocation fairness strategies to distribute funds deposited into its liquidity pools. It uses a mix of constant product and constant sum strategies to maintain a stable swap invariant across pools. When users deposit funds, Curve calculates the change in pool invariants and mints LP tokens proportionally. It aims to mitigate slippage for a meta strategy by optimizing the allocation of deposits between pools using numerical methods.
Financial quantitative strategies using artificial intelligence
Napoleon Crypto Asset Manager is developing an artificial intelligence-based allocation tool to optimize investment performance across its primary strategies for various asset classes including equities, rates, commodities, and cryptocurrencies. The tool will utilize a proprietary database of financial indicators and market states derived from raw market data through processing techniques. A supervised machine learning framework will be used to train algorithms on past periods to predict optimal allocations across strategies going forward, which will be backtested across all periods to evaluate performance out of sample. The goal is to find the configuration that delivers the best risk-adjusted returns through exhaustive testing of different algorithms and parameters.
Intraday news event_study
This document summarizes an intraday event study using news data and market reaction profiles. Key points:
- It uses a unique real-time news feed classified with an extensive taxonomy to build intraday market reaction profiles for Russell 1000 stocks around news events.
- It defines abnormal returns, volatility, and volume around news events and finds distinct responses in these measures around news arrivals.
- By ranking profiles based on post-event returns, volatility, and event frequency, it aims to characterize market reactions and identify the most profitable trading strategies.
- Sentiment analysis and other news analytics like relevance and novelty are found to help filter significant effects and predict future price trends.
Multi risk factor model
We here detail how to build through variance optimization a range of portfolio over a multi risk framework factor. This methodology is much used by practitioner as the factors covariance is non singular even with few observations and more stable.
Recommended
Dynamical smart liquidity on decentralized exchanges for lucrative market making
This document discusses liquidity provision on Uniswap V3 and proposes algorithms for actively managing liquidity positions. It introduces the concept of concentrated liquidity on Uniswap V3 which allows liquidity providers to specify a price range. It discusses different configurations for liquidity provision including long, short, and market neutral approaches. It then presents algorithms for dynamically exiting liquidity positions based on trend signals, modeling historical fees, and determining optimal price range bounds while minimizing costs like impermanent loss and transaction fees.
Smart systematic short strangle
This document discusses two strategies for generating yield from bitcoin holdings:
1. A low frequency strategy that sells in-the-money covered calls with long durations of over 6 months, generating a large premium but capping upside gains.
2. A middle frequency strategy that rolls call options weekly with strikes unlikely to be reached, compounding the premium over time.
It also discusses optimizing call option maturities and strikes to guarantee a target yield percentage while allowing for varying degrees of upside potential.
Short Term Intraday Long Only Crypto Strategies
The document describes two short-term trading models for a spot market/long only strategy. Model 1 generates hourly oscillating signals for quick deleveraging, while Model 2 uses hourly RSI cutoffs from multiple timeframes. Backtests of Model 1 show average hourly turnover of 5.6% with 10 bps transaction costs included, and sensitivity analysis was performed by varying strategy parameters to assess robustness. Results for different parameter sets and the impact of transaction costs on profits are also presented.
Stable_pool_optimal_allocation.pdf
This document proposes an optimal stable coin folding strategy on the Aave protocol to generate yield. It describes iterating a "lend/borrow" strategy multiple times, or "folding", to increase yields in a low-risk manner due to stable coins' pegging and low liquidation risk. The strategy involves allocating assets optimally across multiple Aave pools to maximize total APY. It presents a linear optimization approach to solve this allocation problem that can be implemented efficiently on-chain. Numerical examples demonstrate the non-linear and linearized solutions. Finally, the relevant smart contract code is outlined.
Curve_fairness_IOUs.pdf
Curve pools multiple allocation fairness strategies to distribute funds deposited into its liquidity pools. It uses a mix of constant product and constant sum strategies to maintain a stable swap invariant across pools. When users deposit funds, Curve calculates the change in pool invariants and mints LP tokens proportionally. It aims to mitigate slippage for a meta strategy by optimizing the allocation of deposits between pools using numerical methods.
Financial quantitative strategies using artificial intelligence
Napoleon Crypto Asset Manager is developing an artificial intelligence-based allocation tool to optimize investment performance across its primary strategies for various asset classes including equities, rates, commodities, and cryptocurrencies. The tool will utilize a proprietary database of financial indicators and market states derived from raw market data through processing techniques. A supervised machine learning framework will be used to train algorithms on past periods to predict optimal allocations across strategies going forward, which will be backtested across all periods to evaluate performance out of sample. The goal is to find the configuration that delivers the best risk-adjusted returns through exhaustive testing of different algorithms and parameters.
Intraday news event_study
This document summarizes an intraday event study using news data and market reaction profiles. Key points:
- It uses a unique real-time news feed classified with an extensive taxonomy to build intraday market reaction profiles for Russell 1000 stocks around news events.
- It defines abnormal returns, volatility, and volume around news events and finds distinct responses in these measures around news arrivals.
- By ranking profiles based on post-event returns, volatility, and event frequency, it aims to characterize market reactions and identify the most profitable trading strategies.
- Sentiment analysis and other news analytics like relevance and novelty are found to help filter significant effects and predict future price trends.
Multi risk factor model
We here detail how to build through variance optimization a range of portfolio over a multi risk framework factor. This methodology is much used by practitioner as the factors covariance is non singular even with few observations and more stable.
Impact best bid/ask limit order execution
The document discusses estimating the market impact of different types of limit orders using order book data from electronic exchanges like NASDAQ. It proposes using a cointegrated Vector AutoRegression model to analyze the limit order book dynamics and quantify the trading friction associated with strategies that use limit orders versus market orders. The analysis considers normal passive limit orders, aggressive limit orders, and normal market orders to understand how each impacts market liquidity and the order book.
Optimal order execution
The document discusses optimal strategies for executing portfolio transactions that balance liquidation costs and volatility risks. It presents a dilemma between trading everything now at a known high cost versus trading in small packets over time with lower liquidation costs but higher uncertainty in final revenue due to volatility. The document proposes modeling the problem as an optimization that minimizes expected shortfall and variance, allowing traders to assess their risk tolerance, and outlines assumptions and approaches for solving it either analytically or numerically.
A new axisymmetric finite element
This document summarizes a presentation on developing a natural finite element for axisymmetric problems. It introduces an axisymmetric model problem, defines appropriate axisymmetric Sobolev spaces, and presents a discrete formulation using a P1 finite element on triangles. Numerical results on a test problem show the method achieves the same convergence rates as classical approaches but with significantly smaller errors. The analysis draws on previous work to prove first-order approximation properties under certain mesh assumptions.
Page rank optimization to push successful URLs or products for e-commerce
1. The document discusses different approaches for optimizing internal mesh structures on websites, including heuristics, metaheuristics like genetic algorithms, and shrinking the problem space by allowing only semantically similar links.
2. A genetic algorithm is proposed to optimize page rank and traffic potential across URLs to find optimal mesh structures, as there are many local optima.
3. The problem is framed for e-commerce sites by optimizing keywords based on search volume, click-through rate, and other metrics.
Compounded autoregressive processes for Credit Risk modelling
Compounded autoregressive processes for Credit Risk modelling
Algorithmic trading
This document discusses algorithmic trading and summarizes various techniques that can be used to develop and optimize automated trading systems including:
- Using technical analysis signals like MACD, RSI, and %R to characterize market state along with sentiment analysis of news data.
- Employing algorithms like genetic algorithms, neural networks, and random forests to improve trading strategies.
- Predicting order book evolution by analyzing customized market data from Reuters including order book depth and price/volume information over time.
- Applying machine learning techniques like regression trees, bagging, and genetic programming to build and optimize trading algorithms.
Machine learning for_finance
This document provides an overview of machine learning techniques that can be applied in finance, including exploratory data analysis, clustering, classification, and regression methods. It discusses statistical learning approaches like data mining and modeling. For clustering, it describes techniques like k-means clustering, hierarchical clustering, Gaussian mixture models, and self-organizing maps. For classification, it mentions discriminant analysis, decision trees, neural networks, and support vector machines. It also provides summaries of regression, ensemble methods, and working with big data and distributed learning.
Direct Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart AgricultureInternational Food Policy Research Institute- South Asia Office
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
The cost of acquiring information by natural selection
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Gadgets for management of stored product pests_Dr.UPR.pdf
Insectsplayamajorroleinthedeteriorationoffoodgrainscausingbothquantitativeandqualitativelosses
Wellprovedthatnogranariescanbefilledwithgrainswithoutinsectsastheharvestedproducecontainegg(or)larvae(or)pupae(or)adultinsectinthembecauseoffieldcarryoverinfestationwhichcannotbeavoidedindevelopingcountrieslikeIndia
Simpletechnologiesfortimelydetectionofinsectsinthestoredproduceandtherebyplantimelycontrolmeasures
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.ESR spectroscopy in liquid food and beverages.pptx
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Farming systems analysis: what have we learnt?.pptx
Presentation given at the official farewell of Prof Ken Gillet at Wageningen on 13 June 2024
More Related Content
More from Stefan Duprey
Impact best bid/ask limit order execution
The document discusses estimating the market impact of different types of limit orders using order book data from electronic exchanges like NASDAQ. It proposes using a cointegrated Vector AutoRegression model to analyze the limit order book dynamics and quantify the trading friction associated with strategies that use limit orders versus market orders. The analysis considers normal passive limit orders, aggressive limit orders, and normal market orders to understand how each impacts market liquidity and the order book.
Optimal order execution
The document discusses optimal strategies for executing portfolio transactions that balance liquidation costs and volatility risks. It presents a dilemma between trading everything now at a known high cost versus trading in small packets over time with lower liquidation costs but higher uncertainty in final revenue due to volatility. The document proposes modeling the problem as an optimization that minimizes expected shortfall and variance, allowing traders to assess their risk tolerance, and outlines assumptions and approaches for solving it either analytically or numerically.
A new axisymmetric finite element
This document summarizes a presentation on developing a natural finite element for axisymmetric problems. It introduces an axisymmetric model problem, defines appropriate axisymmetric Sobolev spaces, and presents a discrete formulation using a P1 finite element on triangles. Numerical results on a test problem show the method achieves the same convergence rates as classical approaches but with significantly smaller errors. The analysis draws on previous work to prove first-order approximation properties under certain mesh assumptions.
Page rank optimization to push successful URLs or products for e-commerce
1. The document discusses different approaches for optimizing internal mesh structures on websites, including heuristics, metaheuristics like genetic algorithms, and shrinking the problem space by allowing only semantically similar links.
2. A genetic algorithm is proposed to optimize page rank and traffic potential across URLs to find optimal mesh structures, as there are many local optima.
3. The problem is framed for e-commerce sites by optimizing keywords based on search volume, click-through rate, and other metrics.
Compounded autoregressive processes for Credit Risk modelling
Compounded autoregressive processes for Credit Risk modelling
Algorithmic trading
This document discusses algorithmic trading and summarizes various techniques that can be used to develop and optimize automated trading systems including:
- Using technical analysis signals like MACD, RSI, and %R to characterize market state along with sentiment analysis of news data.
- Employing algorithms like genetic algorithms, neural networks, and random forests to improve trading strategies.
- Predicting order book evolution by analyzing customized market data from Reuters including order book depth and price/volume information over time.
- Applying machine learning techniques like regression trees, bagging, and genetic programming to build and optimize trading algorithms.
Machine learning for_finance
This document provides an overview of machine learning techniques that can be applied in finance, including exploratory data analysis, clustering, classification, and regression methods. It discusses statistical learning approaches like data mining and modeling. For clustering, it describes techniques like k-means clustering, hierarchical clustering, Gaussian mixture models, and self-organizing maps. For classification, it mentions discriminant analysis, decision trees, neural networks, and support vector machines. It also provides summaries of regression, ensemble methods, and working with big data and distributed learning.
More from Stefan Duprey (8)
Page rank optimization to push successful URLs or products for e-commerce
Page rank optimization to push successful URLs or products for e-commerce
Compounded autoregressive processes for Credit Risk modelling
Compounded autoregressive processes for Credit Risk modelling
Recently uploaded
Direct Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart AgricultureInternational Food Policy Research Institute- South Asia Office
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
The cost of acquiring information by natural selection
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Gadgets for management of stored product pests_Dr.UPR.pdf
Insectsplayamajorroleinthedeteriorationoffoodgrainscausingbothquantitativeandqualitativelosses
Wellprovedthatnogranariescanbefilledwithgrainswithoutinsectsastheharvestedproducecontainegg(or)larvae(or)pupae(or)adultinsectinthembecauseoffieldcarryoverinfestationwhichcannotbeavoidedindevelopingcountrieslikeIndia
Simpletechnologiesfortimelydetectionofinsectsinthestoredproduceandtherebyplantimelycontrolmeasures
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.ESR spectroscopy in liquid food and beverages.pptx
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Farming systems analysis: what have we learnt?.pptx
Presentation given at the official farewell of Prof Ken Gillet at Wageningen on 13 June 2024
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
学校原件一模一样【微信：741003700 】《(salfor毕业证书)索尔福德大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
Micronuclei test.M.sc.zoology.fisheries.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Recently uploaded (20)
Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...
The cost of acquiring information by natural selection
The cost of acquiring information by natural selection
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
Gadgets for management of stored product pests_Dr.UPR.pdf
Gadgets for management of stored product pests_Dr.UPR.pdf
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
aziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobel
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
Farming systems analysis: what have we learnt?.pptx
Farming systems analysis: what have we learnt?.pptx
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
On Chain Weekly Rebal Low Expo Strategy
- 1. Fully on chain Long/Short Weekly rebalancing strategy 90% stable coin farming at least