레이블이 Historical Forex Data인 게시물을 표시합니다. 모든 게시물 표시
레이블이 Historical Forex Data인 게시물을 표시합니다. 모든 게시물 표시

2013년 12월 3일 화요일

About 'historical forex rates'|FOREX RATES..







About 'historical forex rates'|FOREX RATES..








               The               business               world               revolves               around               a               few               major               concepts               or               factors               which               include               resources,               value               adding               processes,               market               place,               customers,               service,               growth,               risk               to               name               a               few.

In               turn               all               of               these               are               tied               to               one               central               concept               i.e.

the               market               clearing               price               or               simply               PRICE               or               COST               depending               on               your               position               in               the               transaction.
               Price               is               the               concept               which               equalizes               demand               and               supply               and               consequently               all               business               activity               whether               it               is               in               the               brick-and-mortar               world               or               the               technology               world               or               any               other               domain               of               human               endeavor               (for               that               matter               including               space               flights               and               search               for               exotic               and               rare               minerals).
               Therefore               it               makes               sense               for               all               students               of               business               to               have               a               basic               conceptual               understanding               of               how               to               forecast               or               prognosticate               prices               of               commonly               traded               products               and               services               in               order               to               develop               future               plans.
               How               can               we               do               that               ?
               There               are               various               ways               of               approaching               this               fundamental               business               problem.
               1.

DETERMINE               DEMAND               AND               SUPPLY               CURVES
               The               above               encompasses               determining               and               plotting               expected               demand               and               supply               curves               for               the               product               under               review.

This               may               be               possible               by               utilizing               statistical               tools               such               as               regression               analysis               etc.

but               will               not               be               practical               as               accurate               economic               data               is               impossible               to               compile;               especially               data               based               on               demand               impulse               generated               by               the               human               mind               and               body,               weather,               mining               discoveries               etc.
               So               this               method               is               out               of               reach               of               most               of               us               other               than               econometric               experts.
               2.

PURE               FINANCIAL               ANALYSIS               BASED               ON               FUNDAMENTAL               ECONOMIC               METRICS
               We               are               talking               about               fundamental               analyses               which               includes               DCF,               IRR,               EVA               etc.

for               companies.

This               forecasting               in               itself               includes               another               round               of               forecasting               and               making               assumptions               regarding               all               raw               materials               and               other               costs               going               5               years               into               the               future               at               the               least.

Furthermore,               the               same               concepts               will               be               very               difficult               if               not               impossible               to               apply               to               say               Crude               Oil               or               any               other               commodity.

You               cannot               apply               DCF               to               Palladium               or               can               you?
               So               we               are               forecasting               the               price               of               a               company               based               on               our               assumptions               (read               forecasts               about               future               prices               of               raw               material,               human               resource,               interest               rates               etc.).

We               are               forecasting               on               the               basis               of               forecasts               or               in               my               words               squaring               unknowns               by               an               equivalent               unknown               factor...why               does               that               remind               me               of               Donald               Rumsfeld...?
               3.

MODELS               BASED               ON               PAST               HUMAN               BEHAVIOR               REGARDING               BUYING               AND               SELLING               AND               PRICE               HISTORY
               That               seems               complicated.

But               it               is               not.

Its               just               a               type               of               technical               analysis.
               We               understand               that               to               forecast               prices               through               mathematical               models               as               mentioned               above,               we               need               to               forecast               a               host               of               other               factors               and               prices               and               this               constitutes               an               unending               chain.

Evidence               suggests               that               CAPM,               DCF               and               other               models               failed               to               forecast               the               Great               Recession               that               we               are               living               through.

Not               because               there               is               something               inherently               wrong               with               the               logic               of               the               models               but               because               they               are               themselves               dependent               on               various               assumptions               about               future               events               and               hence               try               to               replicate               rational               human               behavior               when               we               know               that               humans               can               also               be               quite               irrational.

Tulip               mania,               World               Wars...anyone...
               At               QAM               Research,               we               believe               that               we               can               simplify               the               whole               concept               of               forecasting,               or               to               use               a               better               term,               prognosticating               prices               through               a               study               of               historical               prices               combined               with               certain               models               derived               by               market               observers               inductively               over               the               centuries.

This               body               of               knowledge               is               commonly               called               Technical               Analysis               but               we               call               it               the               QAM               TRADING               TEMPLATES               1.4               as               modified               and               disciplined               by               our               research               of               18               years               into               the               subject.
               We               have               no               claim               to               the               objectivity               of               our               template               based               model,               but               they               are               based               on               concepts               that               are               said               to               model               price               action               or               in               other               words,               human               behavior               and               we               believe               are               the               most               comprehensive               way               of               prognosticating               prices               of               actively               traded               shares,               futures,               commodities,               currencies               etc.
               So               coming               back               to               the               theme               of               the               article,               when               a               business               manager               is               developing               the               feasibility               of               a               refinery               in               say               the               Middle               East,               he/she               needs               to               forecast               crude               prices,               interest               rates,               exchange               rates               over               a               long               term               horizon.

How               is               that               done?

By               utilizing               one               of               the               methods               mentioned               above.
               To               find               more               about               the               QAM               TRADING               TEMPLATES               1.4               ,               write               to               us               at               :
               mustafaamjed@yahoo.com
Mustafa               QAM               RESEARCH
               TEMPLATES               FOR               WINNING               TRADERS               

               DISCLAIMER
               Trading               is               inherently               a               risky               business               proposition               with               potential               for               huge               losses.

The               above               text,               templates,               seminars,               workshops,               courses,               research,               assignments               and               any               other               material               and               information               marketed               by               QAM               Research               and               this               blog               are               for               training               and               educational               purposes               only.

All               traders,               readers,               trainees,               workshop               participants,               course               participants,               clients               et.

al.

are               themselves               responsible               for               all               their               trading               decisions.






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