Algorithmic trading utilizes mathematical models and computer algorithms to automatically make trades based on pre-programmed instructions. It is popular in developed nations and used by large institutional investors to help brokers develop trading strategies and obtain optimal prices for large transactions while minimizing market impact. Globally, algorithmic trading accounts for around 3% of total market turnover.
- Intuitively Interactive Guidance Systems develops automated trading systems called "Guidance" for actively traded markets.
- Guidance is an adaptive hybrid system that integrates trend following, breakout, and mean reversion strategies to successfully trade different market states.
- It measures a variety of proprietary indicators to calculate the odds of short-term price movements and enter positions when the odds are high.
Pairs trading is a hedge fund strategy that involves buying one security and short selling another security that have historically moved together. When the spread between the two securities widens, the trader will take the opposite position, betting that the prices will converge again. Key aspects of pairs trading include avoiding data snooping to test for higher potential profits, using algorithms to select pairs based on similar historical state prices according to the Law of One Price, and ensuring the component prices are cointegrated with common nonstationary factors to justify the strategy. Bankruptcy risk in one security of a pair can also drive profits if it has a temporarily increasing probability versus the other security with a constant or decreasing probability.
ReStream: Accelerating Backtesting and Stream Replay with Serial-Equivalent P...Johann Schleier-Smith
Real-time predictive applications can demand continuous and agile development, with new models constantly being trained, tested, and then deployed. Training and testing are done by replaying stored event logs, running new models in the context of historical data in a form of backtesting or ``what if?'' analysis. To replay weeks or months of logs while developers wait, we need systems that can stream event logs through prediction logic many times faster than the real-time rate. A challenge with high-speed replay is preserving sequential semantics while harnessing parallel processing power. The crux of the problem lies with causal dependencies inherent in the sequential semantics of log replay.
We introduce an execution engine that produces serial-equivalent output while accelerating throughput with pipelining and distributed parallelism. This is made possible by optimizing for high throughput rather than the traditional stream processing goal of low latency, and by aggressive sharing of versioned state, a technique we term Multi-Versioned Parallel Streaming (MVPS).
In experiments we see that this engine, which we call ReStream, performs as well as batch processing and more than an order of magnitude better than a single-threaded implementation.
Here output is attached of pairs trading strategy using R. Daily free data of NIFTY and included bank stock are used for analysis. For details on strategy building, statistical analysis and financial model visit www.financemodel.co
The document discusses connecting to financial data sources from R for trading strategies. It covers using Yahoo Finance for end-of-day data from the past year and connecting to Interactive Brokers for intraday data through their API. It notes that IB has extensive APIs for connecting through Java and C and allows for retrieving high frequency intraday data if the necessary programming is done, though there are limits on the number of requests and no more than one year of past data can be accessed at a time.
The document discusses using R for credit risk modeling tasks at a bank. It provides examples of using R to model mortgage haircut rates, calibrate through-the-cycle (TTC) credit risk models, and bin customers into cohorts for TTC probability of default estimation. R is shown to provide more flexibility than SAS for tasks like fitting customized statistical models with varying distributions and volatility, conducting TTC calibration via backcasting, and specifying customer cohorting.
This document provides an introduction to pair trading based on cointegration. It discusses that pair trading selects two highly correlated stocks and trades their price differences. Cointegration refers to the long-term co-movement of stock prices, which pair trading exploits. The document outlines the basic idea of pair trading when stock prices diverge, and simulates pair trading using R language to estimate spreads, check for cointegration, generate signals, and backtest performance. In summary, pair trading is a quantitative strategy that aims to profit from mean reversion of cointegrated stock price spreads.
Algorithmic trading utilizes mathematical models and computer algorithms to automatically make trades based on pre-programmed instructions. It is popular in developed nations and used by large institutional investors to help brokers develop trading strategies and obtain optimal prices for large transactions while minimizing market impact. Globally, algorithmic trading accounts for around 3% of total market turnover.
- Intuitively Interactive Guidance Systems develops automated trading systems called "Guidance" for actively traded markets.
- Guidance is an adaptive hybrid system that integrates trend following, breakout, and mean reversion strategies to successfully trade different market states.
- It measures a variety of proprietary indicators to calculate the odds of short-term price movements and enter positions when the odds are high.
Pairs trading is a hedge fund strategy that involves buying one security and short selling another security that have historically moved together. When the spread between the two securities widens, the trader will take the opposite position, betting that the prices will converge again. Key aspects of pairs trading include avoiding data snooping to test for higher potential profits, using algorithms to select pairs based on similar historical state prices according to the Law of One Price, and ensuring the component prices are cointegrated with common nonstationary factors to justify the strategy. Bankruptcy risk in one security of a pair can also drive profits if it has a temporarily increasing probability versus the other security with a constant or decreasing probability.
ReStream: Accelerating Backtesting and Stream Replay with Serial-Equivalent P...Johann Schleier-Smith
Real-time predictive applications can demand continuous and agile development, with new models constantly being trained, tested, and then deployed. Training and testing are done by replaying stored event logs, running new models in the context of historical data in a form of backtesting or ``what if?'' analysis. To replay weeks or months of logs while developers wait, we need systems that can stream event logs through prediction logic many times faster than the real-time rate. A challenge with high-speed replay is preserving sequential semantics while harnessing parallel processing power. The crux of the problem lies with causal dependencies inherent in the sequential semantics of log replay.
We introduce an execution engine that produces serial-equivalent output while accelerating throughput with pipelining and distributed parallelism. This is made possible by optimizing for high throughput rather than the traditional stream processing goal of low latency, and by aggressive sharing of versioned state, a technique we term Multi-Versioned Parallel Streaming (MVPS).
In experiments we see that this engine, which we call ReStream, performs as well as batch processing and more than an order of magnitude better than a single-threaded implementation.
Here output is attached of pairs trading strategy using R. Daily free data of NIFTY and included bank stock are used for analysis. For details on strategy building, statistical analysis and financial model visit www.financemodel.co
The document discusses connecting to financial data sources from R for trading strategies. It covers using Yahoo Finance for end-of-day data from the past year and connecting to Interactive Brokers for intraday data through their API. It notes that IB has extensive APIs for connecting through Java and C and allows for retrieving high frequency intraday data if the necessary programming is done, though there are limits on the number of requests and no more than one year of past data can be accessed at a time.
The document discusses using R for credit risk modeling tasks at a bank. It provides examples of using R to model mortgage haircut rates, calibrate through-the-cycle (TTC) credit risk models, and bin customers into cohorts for TTC probability of default estimation. R is shown to provide more flexibility than SAS for tasks like fitting customized statistical models with varying distributions and volatility, conducting TTC calibration via backcasting, and specifying customer cohorting.
This document provides an introduction to pair trading based on cointegration. It discusses that pair trading selects two highly correlated stocks and trades their price differences. Cointegration refers to the long-term co-movement of stock prices, which pair trading exploits. The document outlines the basic idea of pair trading when stock prices diverge, and simulates pair trading using R language to estimate spreads, check for cointegration, generate signals, and backtest performance. In summary, pair trading is a quantitative strategy that aims to profit from mean reversion of cointegrated stock price spreads.
Dr. Roitman discusses the use of Artificial Intelligence to solve complex and insoluble problems. Artificial intelligence approach is in the root of I Know First predictive algorithm.
Pairs Trading from NYC Algorithmic Trading Meetup November '13Quantopian
Gary Chan presented at the NYC Algorithmic Trading Meetup. More on the presentation, including a sample Excel file, on our blog http://blog.quantopian.com/gary-chan-on-pairs-trading-presentation-from-nyc-algorithmic-trading-meetup/ You can sign up for future meetups here: www.meetup.com/NYC-Algorithmic-Trading/
An introduction to implementing 5 basic quant strategies on Quantopian. Presented to the Bay Area Algorithmic Trading Group and the Bay Area Trading Signals meetup groups at the Hacker Dojo Feb 6th, 2014 by Jess Stauth
Algorithmic trading is the automated execution of trading orders using computer programs and models. It aims to minimize costs, maximize fill rates, and reduce execution risk through faster and more reliable execution platforms and more accurate prediction models. Trends driving its growth include market electronification, a desire for anonymity and efficiency, and regulatory changes. Common algorithm types include arrival price, TWAP, VWAP, and MOC models. Areas of concern include lack of visibility, algorithms reacting to each other, and missing the trader's intuition. The process involves developing and testing trading strategies through backtesting before implementing them on execution platforms to trade.
R in finance: Introduction to R and Its Applications in FinanceLiang C. Zhang (張良丞)
This presentation is designed for experts in Finance but not familiar with R. I use some Finance applications (data mining, technical trading, and performance analysis) that you are probably most familiar with. In this short one-hour event, I focus on the "using R" rather than the Finance examples. Therefore, few interpretations of these examples will be provided. Instead, I would like you to use your field of knowledge to help yourself and hope that you can extend what you learn to other finance R packages.
The document provides an introduction to algorithmic trading, which involves using computer programs and models to automate trading decisions and transactions. It discusses how algorithmic trading has grown significantly in recent years, with some markets seeing over 80% of trades executed algorithmically. The document also outlines some of the common types of algorithmic trading strategies used and software companies that provide platforms to develop algorithmic trading systems.
How to design quant trading strategies using “R”?QuantInsti
This presentation answers fundamental questions like - What is R? How can we use R packages in writing quantitative trading strategies?
It also details the steps in the development of a quantitative trading strategy.
Going further it teaches how to optimize & refine your strategy.
The attached video gives an elaborate demonstration of a quant trading strategy in action.
The presentation is a part of a webinar which was conducted by Mr. Anil Yadav, who is a co-founder of iRageCapital and QuantInsti, manages an Algorithmic strategy advisory team at iRageCapital and is responsible for building and benchmarking strategies for the clients across various asset classes. Prior to iRage, he has worked as Convertible Analyst at Lehman Brothers. He is IIM - Lucknow and IIT - Kanpur Alumnus.
Gran Residencial Clube, Lançamento na Rua São Gabriel, Apartamentos no Rio, 2...Suely Maia
A empresa anunciou um novo produto que combina hardware e software para fornecer uma solução completa para clientes. O produto oferece recursos avançados de inteligência artificial e aprendizado de máquina para automatizar tarefas complexas. Analistas acreditam que o produto pode ser um sucesso comercial se for fácil de usar e tiver um preço acessível.
This document provides an introduction to a research study on the relationship between self-esteem and health-related risk behaviors among adolescents in Baguio City, Philippines. The study aims to understand how self-esteem relates to physical harm, substance abuse, sexual behaviors, dietary behaviors, and physical inactivity. It also examines potential differences based on gender and ethnicity. A correlational quantitative research design will be used, collecting data through a questionnaire distributed to a sample of 385 adolescents. The questionnaire will assess self-esteem and engagement in health risks, adapted from established tools.
The document discusses sustainability efforts at the National Library of Australia (NLA). It outlines how the NLA has implemented various initiatives to use less energy, water, and paper. This includes turning off unused equipment, replacing inefficient equipment, insulating windows, installing LED and motion-sensor lighting, actively managing air conditioning schedules, replacing water meters, printing double-sided, and increasing recycling. As a result of these efforts, the NLA has seen reductions in energy and water usage as well as increases in the amount of materials recycled.
Dr. Roitman discusses the use of Artificial Intelligence to solve complex and insoluble problems. Artificial intelligence approach is in the root of I Know First predictive algorithm.
Pairs Trading from NYC Algorithmic Trading Meetup November '13Quantopian
Gary Chan presented at the NYC Algorithmic Trading Meetup. More on the presentation, including a sample Excel file, on our blog http://blog.quantopian.com/gary-chan-on-pairs-trading-presentation-from-nyc-algorithmic-trading-meetup/ You can sign up for future meetups here: www.meetup.com/NYC-Algorithmic-Trading/
An introduction to implementing 5 basic quant strategies on Quantopian. Presented to the Bay Area Algorithmic Trading Group and the Bay Area Trading Signals meetup groups at the Hacker Dojo Feb 6th, 2014 by Jess Stauth
Algorithmic trading is the automated execution of trading orders using computer programs and models. It aims to minimize costs, maximize fill rates, and reduce execution risk through faster and more reliable execution platforms and more accurate prediction models. Trends driving its growth include market electronification, a desire for anonymity and efficiency, and regulatory changes. Common algorithm types include arrival price, TWAP, VWAP, and MOC models. Areas of concern include lack of visibility, algorithms reacting to each other, and missing the trader's intuition. The process involves developing and testing trading strategies through backtesting before implementing them on execution platforms to trade.
R in finance: Introduction to R and Its Applications in FinanceLiang C. Zhang (張良丞)
This presentation is designed for experts in Finance but not familiar with R. I use some Finance applications (data mining, technical trading, and performance analysis) that you are probably most familiar with. In this short one-hour event, I focus on the "using R" rather than the Finance examples. Therefore, few interpretations of these examples will be provided. Instead, I would like you to use your field of knowledge to help yourself and hope that you can extend what you learn to other finance R packages.
The document provides an introduction to algorithmic trading, which involves using computer programs and models to automate trading decisions and transactions. It discusses how algorithmic trading has grown significantly in recent years, with some markets seeing over 80% of trades executed algorithmically. The document also outlines some of the common types of algorithmic trading strategies used and software companies that provide platforms to develop algorithmic trading systems.
How to design quant trading strategies using “R”?QuantInsti
This presentation answers fundamental questions like - What is R? How can we use R packages in writing quantitative trading strategies?
It also details the steps in the development of a quantitative trading strategy.
Going further it teaches how to optimize & refine your strategy.
The attached video gives an elaborate demonstration of a quant trading strategy in action.
The presentation is a part of a webinar which was conducted by Mr. Anil Yadav, who is a co-founder of iRageCapital and QuantInsti, manages an Algorithmic strategy advisory team at iRageCapital and is responsible for building and benchmarking strategies for the clients across various asset classes. Prior to iRage, he has worked as Convertible Analyst at Lehman Brothers. He is IIM - Lucknow and IIT - Kanpur Alumnus.
Gran Residencial Clube, Lançamento na Rua São Gabriel, Apartamentos no Rio, 2...Suely Maia
A empresa anunciou um novo produto que combina hardware e software para fornecer uma solução completa para clientes. O produto oferece recursos avançados de inteligência artificial e aprendizado de máquina para automatizar tarefas complexas. Analistas acreditam que o produto pode ser um sucesso comercial se for fácil de usar e tiver um preço acessível.
This document provides an introduction to a research study on the relationship between self-esteem and health-related risk behaviors among adolescents in Baguio City, Philippines. The study aims to understand how self-esteem relates to physical harm, substance abuse, sexual behaviors, dietary behaviors, and physical inactivity. It also examines potential differences based on gender and ethnicity. A correlational quantitative research design will be used, collecting data through a questionnaire distributed to a sample of 385 adolescents. The questionnaire will assess self-esteem and engagement in health risks, adapted from established tools.
The document discusses sustainability efforts at the National Library of Australia (NLA). It outlines how the NLA has implemented various initiatives to use less energy, water, and paper. This includes turning off unused equipment, replacing inefficient equipment, insulating windows, installing LED and motion-sensor lighting, actively managing air conditioning schedules, replacing water meters, printing double-sided, and increasing recycling. As a result of these efforts, the NLA has seen reductions in energy and water usage as well as increases in the amount of materials recycled.
1. +
Povestea lui Bibi
Oamenii se deosebesc unii de altii prin fapte.
2. + 2
1. Desen facut de fiica mea,
reprezentand familia
Buna seara, numele meu este
Bogdana Dobre si am sa va
impartasesc in continuare o
frumoasa poveste ce a inceput
datorita blogului nostru de familie,
Jurnal din burtica.
Jurnal din burtica este un blog
independent, inspirat de
intamplarile din familia noastra, de
evolutia acesteia. Jurnal din
burtica arunca lumina asupra
miracolelor ce se intampla in jurul
nostru zi de zi, dar pe care le
ignoram uneori intentionat
3. + 3
2. Bibi la Ierusalim, ianuarie 2011
Aceasta este imaginea de la care a
pornit totul. Bibi si mama lui, in
ianuarie 2011, in Israel.
M-au frapat ochii aceia de un
albastru perfect, iar imaginea in
sine pentru ca este, din punctul
meu de vedere prototipul cuplului
ideal “mama si copil”. Transmite
duiosie, emotie si multa multa
dragoste.
Am realizat ca privind-o m-am
transformat iremediabil si ca
trebuie sa fac ceva ca Bibi sa se
insanatoseasca
4. + 4
3. Poza din Headerul blogului lui Bibi
Bibi este un baietel de un an si
jumatate, care are o boala extrem
de rara, un tip de anemie
aplastica, numit sindrom BlackFan
Diamond, pe scurt DBA. Boala se
manifesta prin imposibilitatea
maduvei de a produce celule rosii.
Sunt doar 600 de cazuri
documentate la nivel mondial,
tratamentele sunt multe
experimentale si singurul
tratament viabil in cazul lui Bibi
este transplantul medular.
Transplantul nu se realizeaza in
tara si costa peste 160000 de euro.
5. + 5
4. Doi ochi albastri
Bibi face transfuzii de la varsta de
doua luni. Daca pentru noi ziua de
marti este o zi ca oricare alta,
pentru el ziua de marti, inseamna
ziua de analize. Care se poate
termina mai bine sau mai rau in
functie de rezultate. Bibi face
transfuzii, si acele transfuzii il tin in
viata pana va face transplantul.
Bibi este frumos, si mai frumos in
realitate, are o maturitate cum nu
am mai vazut si un grad de
intelegere al lucrurilor care te
uimeste.
6. + 6
5. Margelele Lolei, primele obiecte
vandute pentru Bibi
Ideea cu care am inceput a fost ca
am mult prea multe lucruri
frumoase, deosebite si poate exista
cineva care le doreste si e dispus sa
le cumpere iar banii sa ii dea direct
lui Bibi. Am inceput cu margelele
mele de la Lola, am vandut patru
siraguri la 130 de lei ca painea calda.
Dupa ele au urmat alte lucruri,
intrasem intr-o frenezie, mi-as fi dat
toate lucrurile daca aveam siguranta
ca cineva le va vrea. Si de aici
bulgarele a pornit la vale. Au venit
alte cititoare, prietene si au donat si
ele. Am inceput sa mijlocim alte
vanzari, din ce in ce mai multe, de la
accesorii la parfumuri, haine de
designer si incaltaminte.
7. + 7
6. Bibi
Am vandut inclusiv dulciuri, peste 120 de
briose homemade, cosmetice handmade,
produse pentru bebelusi si copii, hainute
si incaltaminte, jucarii, scaune,
carucioare, mobila, chiar si electronice.
Orice va trece prin cap, noi am cam
vandut. In total, din mai si pana in
octombrie in cont s-au dus aproape
11000 doar din vanzari.
Odata cu trecerea verii a devenit clar ca
trebuie facut ceva si facut rapid.
Transfuziile de sange se succedau deja
odata la trei saptamani, organismul lui
Bibi se incarca cu fier cu fiecare
transfuzie, si nu se intrevedea nici o
imbunatatire in tot acest timp. Suma in
cont crescuse de la 118000 (august) la
127000 (1 nov 2011). Total insuficient.
8. + 8
7. Prima intalnire a ceea ce avea sa
devina Centrul de Comanda
Imi amintesc de “descarcarea” mea de pe
Facebook, in care imi exprimam
frustrarea ca nu pot face mai mult si ca
nu stiu cum sa fac lucrurile sa se miste. Si
atunci s-a produs declicul. Datorita a
doua prietene ne-am intalnit cu Dana
Nalbaru, care a rezonat cu povestea lui
Bibi si si-a dedicat o mare parte din timp
promovarii acesteia. A fost la Mangalia, a
compus un cantec incredibil de frumos si
in acelasi timp impresionant, a mers la
Prima TV, la Realitatea, si a vorbit despre
el iar pe cei de la Prima TV i-a cooptat in
strangerea fondurilor
Aici este prezentata prima intalnire a
grupului care avea sa devina “Centrul de
comanda”.
9. + 9
8. Imagine emblematica, din clipul
realizat pentru Bibi de Dana Nalbaru
Concomitent mi-am concentrat
eforturile spre acceptarea cazului
lui Bibi de catre Fundatia Mereu
Aproape, ceea ce prin intermediul
cunostintelor mele am si reusit.
Cei de la fundatie au mers la Bibi,
au filmat materiale cu el si i-au
alocat pentru perioada 10-16
decembrie toate numerele de
donatii ale Fundatiei.
Online am promovat puternic
cantecul lui Bibi, compus de Dana
Nalbaru, cantec care a trezit si mai
mult atentia asupra cazului lui Bibi
10. + 10
9. Fotografie realizata la Oraselul Mami,
decembrie 2011, autor Sabina U.
In tot acest timp au continuat sa
vina mailuri, zeci de mailuri
saptamanal cu propuneri de donatii,
in haine si produse cosmetice. Asa a
aparut ideea de a face un Talcioc
Urban dedicat lui Bibi. L-am
promovat pe toate caile posibile,
inclusiv la Radio Guerilla, online pe
Facebook, Twitter si in blogosfera.
Rezultatul: un pic peste 4000 de lei
intr-o singura zi de Talcioc.
Au urmat participari la Oraselul
Mami de la Sala Dalles, inca un
Talcioc Urban in decembrie si
Absolutely Fabulous Vintage Fair.
Inca peste 10000 de lei stransi.
11. + 11
10. Fotografie donata si vanduta pentru
Bibi, autor: Sabina Ulubeanu
Am inceput sa primim donatii si din
lumea artistica, iar fotografii cum
este aceasta a Sabinei Ulubeanu s-au
vandut imediat si pe sume
importante. S-au creat semne de
carte special pentru Bibi, s-au donat
calendare.
Am primit ca si donatii din partea a
cel putin opt fotografi, sedinte foto.
Am primit ca si donatii mingii si
tricouri cu autografe celebre. Ionel
Danciulescu si-a donat tricoul in care
a inscris golul cu numarul 200 in
Divizia A tricoul fiind semnat de tot
lotul lui Dinamo
12. + 12
11. Desen facut de fiica mea pentru
Bibi
Nucleul de care povesteam,
centrul de comanda, a fost format
exclusiv din mame. Niste mame
deosebite, care si-au pus deoparte
toate activitatile si si-au dedicat
tot timpul lor campaniei. S-au
gestionat si organizat evenimente,
offline sau online, s-au creat
materiale de promovare, s-au
gestionat donatii, s-a raspuns la
sute de mesaje, intrebari si
propuneri. A fost un volum imens
de munca intr-un timp foarte
scurt.
13. + 13
12. Masuta lui Bibi
Un alt gest impresionant a venit
din partea unui grup de mamici,
care s-au unit si au creat
decoratiuni pentru Craciun si
dulciuri homemade pentru ceea ce
avea sa devina un succes total:
Masuta lui Bibi. Masuta lui Bibi a
calatorit pe la cateva din cele mai
importante multinationale din
Bucuresti, iar lumea a putut
cumpara sau dona bani pentru
Bibi. In total s-au strans peste
12000 de lei din aceasta initiativa.
14. + 14
13. Zambetul lui Bibi
Ne-am pregatit intens pentru
saptamana in care Bibi a avut
alocat numarul fundatiei “Mereu
Aproape”, saptamana esentiala in
strangerea unei sume cat mai mari
din SMS-uri. Am creat bannere
care au putut fi preluate si
promovate mai departe. Ne-am
folosit la maxim de toate
cunostintele noastre, de toate
resursele la nivel de “networking”
pentru a promova povestea lui
Bibi, dar mai ales numarul de SMS
848 si intervalul in care acesta
urma sa fie activ pentru cazul lui
Bibi.
15. + 15
14. Oamenii se deosebesc unii de altii
prin fapte
Oamenii se deosebesc unii de altii
prin fapte.
Am avut parte de momente mai
dificile pentru ca online-ul
romanesc este un loc riscant, iar
unora le este mai usor sa (scrie)
faca rau decat bine. Insa
semnalele de solidaritate au fost
coplesitoare iar campania de
dezinformare nu numai ca s-a
intors impotriva autorului insa nu
a facut altceva decat sa creeze un
impact si mai puternic, iar lumea
sa fie si mai constienta de faptul ca
Bibi trebuie ajutat.
16. + 16
15. Totul este donat. De la palarie, la
gulerul realizat manual
Fotografia aceasta este extrem de
sugestiva pentru ceea ce s-a vandut
in aceasta campanie in cele sapte
luni. Sapunul din imagine a fost
realizat la Deva, de Luthelo, a
calatorit pana la Mangalia la mama
lui Bibi care a facut cutiile, dupa care
l-am vandut noi la Bucuresti.
Mai mult extraordinar a fost sprijinul
comunitatilor din afara tarii, care au
pus umarul la treaba si fie au vorbit
la diverse fundatii locale, fie au
donat efectiv, via paypal. Au venit
bani din Dubai, SUA, Canada, Suedia,
17. + 17
16. Bibi in oglinda
Saptamana 10-16 decembrie a
aratat cat de mult conteaza pana la
urma legaturile intre oameni. In
primele trei zile ale campaniei de
SMS-uri la 848 s-au dat peste de
sms-uri. In total in acea saptamana
s-au strans 59747 de euro. Asta
inseamna ca aproape 30000 de
oameni au donat prin intermediul
unui SMS. Din declaratiile celor de la
Fundatia Mereu Aproape a fost cea
mai mare suma stransa vreodata
printr-o campanie de acest gen.
Mobilizarea de forte care a
participat in acea saptamana a fost
incredibila, dupa cum veti vedea in
continuare.
18. + 18
17. Fapte, cifre, rezultate
Cifre: peste 650000 de vizualizari a
paginii de facebook, creata la
sfarsitul lui noiembrie. Peste 170 de
Fani ai paginii.
Peste 100 de postari dedicate in
blogosfera autohtona. Bazavan,
Bucurenci, Simona Tache, Arhi -
Cetin Ametcea, Manafu, Marius
Sescu, Tunaru, Catavencii, Cabral,
Adelin Petrisor, Maria Coman, PA de
Hillerin.
Mentiuni si articole repetate in
presa scrisa: Jurnalul national,
Libertatea, CanCan, GSP, Zile si
Nopti, Ring, Femeia, Femeia de Azi.
TV: Prima TV – Focus 18, Antena 1,
Antena 3 – In cadrul Observator –
multiple aparitii
19. + 19
18. Bibi in decembrie
Daca la 1 noiembrie in cont erau
putin peste 127000 de lei, in acest
moment in conturi sunt peste
729000 de lei, iar banii din campania
Fundatiei Mereu Aproape inca nu au
intrat, fiind asteptati in martie. In
acest moment suma stransa nu
numai ca acopera costul operatiei,
de 1600000 de euro, dar va acoperi
si costurile procedurilor post
transplant si a cheltuielilor pentru
cele sase luni de sedere in
Germania. Toti banii care vor
ramane dupa efectuarea tuturor
procedurilor medicale vor fi donati
mai departe.
20. + 20
19. Portret de familie
Si noi? Ei bine, noi am castigat
enorm. Am castigat noi cunostinte,
oameni fantastici, oameni
implicati, oameni dedicati. Am
aratat ca se poate, daca depui
suflet si te implici 100%, se poate.
Am aratat ca online-ul este unit
atunci cand trebuie, ca avem
puterea de a schimba vieti. Am
aratat ca putin cate putin, fiecare
picatura de ajutor conteaza intr-un
ocean de dorinte si ca nimic nu
este in zadar. Am aratat ca doar cu
multa perseverenta si rabdare se
pot misca chiar si muntii din loc.
21. + 21
20. Baloane, culoare, viata
Pentru Bibi greul abia acum incepe.
Va trece prin niste proceduri extrem
de dificile, dureroase. Greu de
cuprins cu mintea, ca un copil de
numai un an jumate sa treaca prin
asa ceva. Ca mama, ma cutremur
cand ma gandesc la asta si ii ridic o
statuie mamei lui Bibi, Loredana
pentru ca rezista zi de zi si merge
mai departe.
Noi ne-am facut treaba, acum este
randul lui Bibi sa ne arate cat de
luptator este, iar noi, peste ani si ani,
sa jucam la nunta lui, asa cum zicea
o prietena implicata in campanie.
Asa sa ne ajute Dumnezeu.