Skip to Content
Artificial Autonomy Pte. Ltd.
Artificial Autonomy Pte. Ltd.
Home
About
Contact
Privacy Policy
Macro
Multi-Factor-Risk-Model
Risk-Parity
RKECDX-YTD
RKECDX-1Y
R_r_US_Govt_FedFundsRate
C_US_USD_CME-COMEX_Fut_GC
RKE-Fund-Switch
News
Portfolio Optimization
Derivatives
DOPRG
Market Risk
Liquidity Risk
Credit Risk
Technology Risk
Counting-Permutations-Combinations
Model-Binomial
Matrix
ML-XL-000-Excel-Functions
ML-XL-010-Model(Algo(Data))-Regression-Linear
ML_XL_011_Model(Algo(Data))_Regression_Linear_Beta
Non-Linear Regression
Neural Network
Graph Neural Networks (GNN)
SVM = Support Vector Machines
Reinforcement Learning (RL)
Architecture-2017-Transformer
Fine-Tuning
Deployment
RAG = Retrieval Augmented Generation
Multi-Agent Systems
Checklist
02-Data-Extract-Transform-Load
ynum-xnum-use-regr-lin
Regression-Linear-Simple-yNum-xNum
Regression-Linear-Multiple-yNum-x1Num-x2Num-x3Num
ynum-use-t-1s-dep0
ynum-x1num-x2num-use-anova
XL-Data-Load-by-Folder-File-Merge
XL-Data-Load-by-File
XL-Data-Quality
XL-Data-Source-Update
XL-Data-Transform-Delete-Columns
XL-Data-Pivot
XL-Data-Transform-Delete-Rows
XL-Data-Pivot-Chart
XL-Data-Legend
XL-Data-Pivot-Chart-Bar-Vertical-Stacked
XL-Data-Pivot-Chart-Bar-Vertical-Stacked-Normalized
XL-Data-Box
XL-Data-Histogram
XL-Data-yNum-Bin
XL-Data-Chart-Export
Data-Modality-Multi
Data-Text
Data-Text-Docs
Data-Text-Image
Data-Text-Image-Video
Data-Text-Audio-Voice
Transport-Air-Planes-SIA
Transport-Land-Cars-Used
Transport-Sea-Containers
Transport-Sea-Containers-Ports-Vessels-Latency
Transport-Sea-Ships-Fuel-CO2
Goods-Consumer-Moving-Fast
Goods-Consumer-Moving-Fast-Snacks-TW
Google Cloud
iOS-AA-HelloWorld
www-app-chat-convex
www-app-vercel-v0
www-app-replit
www-app-lovable
www-app-base44
python-streamlit
python-pandas
python-files
python-functions
R
R-class
R-vector
R-function
R-sapply
R-dataframe
AI-Anthropic-Claude
AI-Objective
AI-Risk
AI-Governance
Code-Excel-VBA
Code-Python
HR-Payroll-CPF
Edu-Rent-a-Study-Buddy
Game-Chess
Game-Chess-Jelly
Game-Chess-Belly
GCE-A-H1-8865-Mathematics
GCE-A-H2-9570-Economics
GCE-A-H2-9628-China-Studies-In-English
GCE-A-H2-9173-Geography
Products
(0)
Cart (0)
Artificial Autonomy Pte. Ltd.
Artificial Autonomy Pte. Ltd.
Home
About
Contact
Privacy Policy
Macro
Multi-Factor-Risk-Model
Risk-Parity
RKECDX-YTD
RKECDX-1Y
R_r_US_Govt_FedFundsRate
C_US_USD_CME-COMEX_Fut_GC
RKE-Fund-Switch
News
Portfolio Optimization
Derivatives
DOPRG
Market Risk
Liquidity Risk
Credit Risk
Technology Risk
Counting-Permutations-Combinations
Model-Binomial
Matrix
ML-XL-000-Excel-Functions
ML-XL-010-Model(Algo(Data))-Regression-Linear
ML_XL_011_Model(Algo(Data))_Regression_Linear_Beta
Non-Linear Regression
Neural Network
Graph Neural Networks (GNN)
SVM = Support Vector Machines
Reinforcement Learning (RL)
Architecture-2017-Transformer
Fine-Tuning
Deployment
RAG = Retrieval Augmented Generation
Multi-Agent Systems
Checklist
02-Data-Extract-Transform-Load
ynum-xnum-use-regr-lin
Regression-Linear-Simple-yNum-xNum
Regression-Linear-Multiple-yNum-x1Num-x2Num-x3Num
ynum-use-t-1s-dep0
ynum-x1num-x2num-use-anova
XL-Data-Load-by-Folder-File-Merge
XL-Data-Load-by-File
XL-Data-Quality
XL-Data-Source-Update
XL-Data-Transform-Delete-Columns
XL-Data-Pivot
XL-Data-Transform-Delete-Rows
XL-Data-Pivot-Chart
XL-Data-Legend
XL-Data-Pivot-Chart-Bar-Vertical-Stacked
XL-Data-Pivot-Chart-Bar-Vertical-Stacked-Normalized
XL-Data-Box
XL-Data-Histogram
XL-Data-yNum-Bin
XL-Data-Chart-Export
Data-Modality-Multi
Data-Text
Data-Text-Docs
Data-Text-Image
Data-Text-Image-Video
Data-Text-Audio-Voice
Transport-Air-Planes-SIA
Transport-Land-Cars-Used
Transport-Sea-Containers
Transport-Sea-Containers-Ports-Vessels-Latency
Transport-Sea-Ships-Fuel-CO2
Goods-Consumer-Moving-Fast
Goods-Consumer-Moving-Fast-Snacks-TW
Google Cloud
iOS-AA-HelloWorld
www-app-chat-convex
www-app-vercel-v0
www-app-replit
www-app-lovable
www-app-base44
python-streamlit
python-pandas
python-files
python-functions
R
R-class
R-vector
R-function
R-sapply
R-dataframe
AI-Anthropic-Claude
AI-Objective
AI-Risk
AI-Governance
Code-Excel-VBA
Code-Python
HR-Payroll-CPF
Edu-Rent-a-Study-Buddy
Game-Chess
Game-Chess-Jelly
Game-Chess-Belly
GCE-A-H1-8865-Mathematics
GCE-A-H2-9570-Economics
GCE-A-H2-9628-China-Studies-In-English
GCE-A-H2-9173-Geography
Products
(0)
Cart (0)
Folder: Info
Back
Home
About
Contact
Privacy Policy
Folder: Mkt
Back
Macro
Multi-Factor-Risk-Model
Risk-Parity
RKECDX-YTD
RKECDX-1Y
R_r_US_Govt_FedFundsRate
C_US_USD_CME-COMEX_Fut_GC
RKE-Fund-Switch
News
Folder: Quant
Back
Portfolio Optimization
Derivatives
DOPRG
Folder: Risk
Back
Market Risk
Liquidity Risk
Credit Risk
Technology Risk
Folder: Math
Back
Counting-Permutations-Combinations
Model-Binomial
Matrix
Folder: Machine
Back
ML-XL-000-Excel-Functions
ML-XL-010-Model(Algo(Data))-Regression-Linear
ML_XL_011_Model(Algo(Data))_Regression_Linear_Beta
Non-Linear Regression
Neural Network
Graph Neural Networks (GNN)
SVM = Support Vector Machines
Reinforcement Learning (RL)
Architecture-2017-Transformer
Fine-Tuning
Deployment
RAG = Retrieval Augmented Generation
Multi-Agent Systems
Folder: Analytics
Back
Checklist
02-Data-Extract-Transform-Load
ynum-xnum-use-regr-lin
Regression-Linear-Simple-yNum-xNum
Regression-Linear-Multiple-yNum-x1Num-x2Num-x3Num
ynum-use-t-1s-dep0
ynum-x1num-x2num-use-anova
Folder: Engineering
Back
XL-Data-Load-by-Folder-File-Merge
XL-Data-Load-by-File
XL-Data-Quality
XL-Data-Source-Update
XL-Data-Transform-Delete-Columns
XL-Data-Pivot
XL-Data-Transform-Delete-Rows
XL-Data-Pivot-Chart
XL-Data-Legend
XL-Data-Pivot-Chart-Bar-Vertical-Stacked
XL-Data-Pivot-Chart-Bar-Vertical-Stacked-Normalized
XL-Data-Box
XL-Data-Histogram
XL-Data-yNum-Bin
XL-Data-Chart-Export
Folder: Data
Back
Data-Modality-Multi
Data-Text
Data-Text-Docs
Data-Text-Image
Data-Text-Image-Video
Data-Text-Audio-Voice
Folder: Indus
Back
Transport-Air-Planes-SIA
Transport-Land-Cars-Used
Transport-Sea-Containers
Transport-Sea-Containers-Ports-Vessels-Latency
Transport-Sea-Ships-Fuel-CO2
Goods-Consumer-Moving-Fast
Goods-Consumer-Moving-Fast-Snacks-TW
Folder: Infra
Back
Google Cloud
Folder: Dev
Back
iOS-AA-HelloWorld
www-app-chat-convex
www-app-vercel-v0
www-app-replit
www-app-lovable
www-app-base44
python-streamlit
python-pandas
python-files
python-functions
R
R-class
R-vector
R-function
R-sapply
R-dataframe
AI-Anthropic-Claude
Folder: Ethics
Back
AI-Objective
AI-Risk
AI-Governance
Folder: Audit
Back
Code-Excel-VBA
Code-Python
Folder: Admin
Back
HR-Payroll-CPF
Folder: Edu
Back
Edu-Rent-a-Study-Buddy
Game-Chess
Game-Chess-Jelly
Game-Chess-Belly
GCE-A-H1-8865-Mathematics
GCE-A-H2-9570-Economics
GCE-A-H2-9628-China-Studies-In-English
GCE-A-H2-9173-Geography
Products
Products › Option Pricing & Risk (Greeks) Graphs Generation Tool

Option Pricing & Risk (Greeks) Graphs Generation Tool

SGD 55,555.00

This Excel spreadsheet contains Visual Basic (VBA) functions that calculate option price and risk (Greeks), namely:
Delta, Gamma, Speed, Vega, Volga, Vanna, Theta, Rho(=ppmu+ppr), ppmu (Sensitivity to Drift), ppr (Sensitivity to Risk-Free-Rate)
Black-Scholes Option Pricing Framework
Underlying Returns Distributions Assumptions: Log-Normal
Exercise Types: European
Product Types: Puts, Calls
Payoff Types: Digital (Binary), Analog (Vanilla)
The functions are exposed and usable within the spreadsheet cells.
A sample sheet is provided to demonstrate how the functions are used.

Please contact us if you have requests to customize the spreadsheet.

Requirements: Microsoft Excel 2016, 2013

D:\Dropbox\_\work\Fin_Deriv\_Theory\Fin_Deriv.xlsm
D:\Dropbox\_\work\Fin_Deriv\_Theory\Fin_Deriv_Analytical_Cont_Graphs
D:\Dropbox\_\work\Fin_Deriv\_Theory\Fin_Deriv_Analytical_Cont_Graphs\20200423_Fin_Deriv_20200423_150211_Lenovo_wc001.xlsm
D:\Dropbox\_\work\Fin_Deriv\_Theory\Fin_Deriv_Analytical_Cont_Graphs\20200423_Fin_Deriv_20200423_150211_Lenovo_wc001.zip

This Excel spreadsheet contains Visual Basic (VBA) functions that calculate option price and risk (Greeks), namely:
Delta, Gamma, Speed, Vega, Volga, Vanna, Theta, Rho(=ppmu+ppr), ppmu (Sensitivity to Drift), ppr (Sensitivity to Risk-Free-Rate)
Black-Scholes Option Pricing Framework
Underlying Returns Distributions Assumptions: Log-Normal
Exercise Types: European
Product Types: Puts, Calls
Payoff Types: Digital (Binary), Analog (Vanilla)
The functions are exposed and usable within the spreadsheet cells.
A sample sheet is provided to demonstrate how the functions are used.

Please contact us if you have requests to customize the spreadsheet.

Requirements: Microsoft Excel 2016, 2013

D:\Dropbox\_\work\Fin_Deriv\_Theory\Fin_Deriv.xlsm
D:\Dropbox\_\work\Fin_Deriv\_Theory\Fin_Deriv_Analytical_Cont_Graphs
D:\Dropbox\_\work\Fin_Deriv\_Theory\Fin_Deriv_Analytical_Cont_Graphs\20200423_Fin_Deriv_20200423_150211_Lenovo_wc001.xlsm
D:\Dropbox\_\work\Fin_Deriv\_Theory\Fin_Deriv_Analytical_Cont_Graphs\20200423_Fin_Deriv_20200423_150211_Lenovo_wc001.zip

Data Analytics, Quantitative Research, Technology

Artificial Autonomy Pte. Ltd.
UEN 201512111K


Contact

Artificial Autonomy Pte. Ltd. | UEN 201512111K
work@artificial-autonomy.com
+65 9172 4555