Backtests & Track Records: What Historical Results Really Show
Understanding simulation, recognizing misconceptions and retracing the path from historical explanation to prospective testing.
Knowledge registers
All topics, their allocation and their processing status – existing content and recognizable gaps.
Topics, indentations and content status at a glance.
123 topics
Understanding simulation, recognizing misconceptions and retracing the path from historical explanation to prospective testing.
Expert Advisors, Market, Signals and Hosting as a coherent system.
Who delivers software, who charges prices, who owes the performance – and what is actually proven?
Check seriousness, technical observation and responsibility on the basis of different evidence.
Terms, English names and typical confusion – with direct links and occupied depressions.
Maximum transparency also means: Disclosing limits, interests and processing status.
How a CFD broker makes money, distributes risks and sets incentives – explained from the perspective of a fictitious pattern broker.
An alleged fraud scheme, widely used trading software and the legal limits of attributing responsibility. Court documents, RICO and unresolved questions about controls.
From the click in the MetaTrader frontend to the customer execution – and to the separate risk hedge of the broker. A-Book, B-Book and Hybrid in comparison.
One manager order, multiple investors: how volume, profits, losses and success fees are distributed – and why accounts can be charged differently.
From first access to the traceable trading protocol: use MT4 and understand the consequences of an action.
Rank the account and instrument correctly, control orders and reliably track the additional MT5 logic.
What happens when changing, partially closing or counter-trading with the account – with a comprehensible comparison.
MT4 and MT5 on iPhone, iPad, Android and in the browser: official accesses and a device change guide.
File, parameters, trading rights and runtime: a controlled expiry for MT4 and MT5.
From visible result to auditable record: period, tickets, costs and open risks.
A systematic diagnostic sequence: first to determine the condition, then to make a targeted change.
Who makes the decision, how does it get to their own account – and why can the result differ?
Symbol name, lot, point, tick, costs and execution rules – assign the crucial information in a comprehensible way.
Set up a test reproducibly, test its assumptions and correctly limit historical results.
The whole position pays for the spread. How trading costs arise, when a tariff is cheaper and which charges disappear behind small numbers.
What makes a big position with a small account: understanding account value, security performance, and intervention thresholds together.
EU, UK, Switzerland and USA: Provider roles, authorisation, capital and cross-border market access – with verifiable sources and clear borders.
What the mandatory percentage actually measures, how a provider determines it and why it does not replace a broker ranking.
Who delivers the idea, who decides, who performs and who deserves? An Overview of Delegated Trade and Its Limits.
Multiple origins, early players and the path from telephone trading to the global platform ecosystem – with filterable timeline and open source findings.
Understand market, limit, stop and stop limit: which price counts, what triggers an order and why triggering is not yet execution.
What a position does when prices rise or fall – and why leverage, margin and profit are different sizes.
Partial and full hedging – with index short, beta, basis risk and a look at alternatives.
Decipher contract identifiers, understand tick values and understand maturity changes – without confusing price spacing and fee.
The displayed price is only part of the execution: the reference market, the spread, the quantity conditions and the order book priority.
How a job is reconstructed: matching reference, slippage, partial executions, timestamps and robust documents.
Historical functional analysis, parameters and concretely classified cases.
What distinguishes the traded products?
When does an order become a business?
At what price do I buy or sell?
Why does the execution price deviate?
When does the broker intervene in open positions?
When do execution conditions change?
What experiences are transferable?
Where do courses come from in the surface?
How do I check the result of my transactions?
How do I find the right account?
Where can I find which function in MT4?
Where can I find which function in MT5?
How do I organize the market view?
What is calculated and what is only drawn?
What information does an order require?
What information does an order require?
How are several deals booked?
Where are conditions monitored and triggered?
How do I secure and maintain my access?
What differences are relevant to my task?
Who is the contractual partner of the business?
What statements do these model labels carry?
Who carries what market exposure?
What Does a Liquidity Provider Really Deliver?
How is market access facilitated?
Who generates and transmits the reference price?
How do trading and third-party systems connect?
How are prices and execution methods chosen?
What are the functions of which provider?
Where does the deposited money go?
What operational function does the service provider perform?
Who earns from customer acquisition?
Which relationship proves which proof?
How do I separate brand, company and supplier?
What service does the user acquire?
Which programming environment belongs to which platform?
When does a model only learn the past?
How does data affect test results?
Which decision is delegated?
What incentives does the remuneration generate?
How can results be compared fairly?
Why doesn’t a follower act identically?
What happens to open positions?
What is the total cost of a transaction?
What does the holding period cost?
What costs are outside the trade?
Which unit describes which size?
What size corresponds to the assumed loss budget?
What security performance does the chosen model yield?
How does the monetary value of a price movement change?
How do spread, commission and financing work together?
Which price movement covers the assumed costs?
What Does a Price Deviation in Money Mean?
Why does a loss need greater percentage compensation?
What profits are actually compensated?
Why are several positions not automatically diversified?
How do charges change over several days?
Which bodies supervise which activity?
What differences does a user need to check?
What functions and controls are to be investigated?
How are claims and funds organized?
Which audit belongs to which service?
What rules govern execution?
How are incentives disclosed and controlled?
What statements does a user need before getting started?
What restrictions apply in which jurisdiction?
Where and against whom can claims be prosecuted?
How is a process documented and addressed?
How do I distinguish original and identity abuse?
What obligations can arise from the management of third-party accounts?
Which documents and data help with reconstruction?
Which processes deserve a separate audit?
What data carries a statement about fair execution?
How can the responsibility and knowledge chain be reconstructed?
Which claim of manipulation can actually be proven?
What has been claimed, established or only decided by procedural law?
How does material become a robust case analysis?
Which development steps are documented?
What changes have shaped the platforms?
Which identities and roles can be proven?
Which products and access routes belong together?
What use and dependency is proven?
Which tasks does the platform solve well and which ones do not?
How did the product and public debate change?
Which statement applies to which historical status?
No topics are covered for this selection.
Understand automated rules, make grid risks visible and test performance promises.
The surface shows your trade. Contracts, prices and risk relationships explain what happens behind them.
Documented decisions, technical findings and controversies — with date, source and visible limit of evidence.
Version differences and account presentation are the basis of a reliable analysis.
Products, brands and companies with a temporal and source context.