Read the MIDAS report.
Get the funded-account and prop-firm backtest evidence PDF. It is not the EA file. It is the low-risk first step before any bigger decision.
Start freeRead the evidence. Or build your own MT5 EA workflow from structured Claude and ChatGPT prompts. No profit promises. No blind trust.
Backtest first. Decide second.
You do not need another hundred features. Choose what you actually came here to do: inspect proof, or build your own system.
Get the funded-account and prop-firm backtest evidence PDF. It is not the EA file. It is the low-risk first step before any bigger decision.
Start freeUse a structured AI builder system for strategy rules, prompts, MQL5 drafts, compiler fixes, code review, backtest analysis, and iteration.
Build my EAThe sales page should not ask for blind belief. It should show the operating loop: define, build, test, improve.
Write the strategy as mechanical rules before asking AI or an EA to do anything.
Use the workflow to shape prompts and generate MQL5 that can be inspected.
Backtest entries, exits, losing periods, drawdown, trade frequency, and behavior.
Change one thing at a time so the next version teaches you something real.
The free report is deliberately placed before the paid offer. Read it, check the logic, and decide whether the build system is worth your time.
Claude and ChatGPT can help write code. The hard part is giving them rules precise enough to code. That is what the ForwardTested builder system is built around.
The brand wins by asking for less trust, not by shouting louder than every trading page on the internet.
Never rely on screenshots alone.
Define the strategy before generating the EA.
Understand what can go wrong before sizing up.
Use backtests to decide what changes next.
Visitors need to see the actual thinking behind the product: prompt structure, compiler reality, and backtest review.
Weak: "Make me a profitable gold bot." Better: define session, setup, trigger, invalidation, risk, exit, and what counts as failure.
MQL5 workflow: 1. Generate draft 2. Compile 3. Read exact errors 4. Fix one class of issue 5. Recompile before adding features
Inspect: - entries and exits - losing periods - drawdown - trade frequency - market conditions - rule behavior
The chart is here for context, not persuasion. It keeps the instrument visible while the visitor thinks through rules, testing, and risk.
The ladder stays simple and honest because confused visitors do not buy with confidence.
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Start with the PDF. Read the evidence. The OGAds locker is on the final page for the next unlock step.
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Regional pricing automatically applied. Same MIDAS product in every country.
Structured prompts and workflow for turning trading rules into an MT5/MQL5 build, compile, backtest, and improvement process.
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No fake scarcity, no fake win rates, no guaranteed-funded-account language. The value is the testing loop.
Read FAQForwardTested came from the unglamorous side of trading bots: ideas that sounded clean until they became MQL5, compiler errors that forced better logic, and backtests that exposed weak assumptions.
The lesson became simple: the workflow matters more than the promise. Define the rules. Build carefully. Test honestly. Improve from data.
If the free report and workflow make sense, full access is the next step. If they do not, the site did its job by helping you avoid blind trust.
The decision should get sharper the farther someone scrolls.
You get the MIDAS funded-account and prop-firm backtest evidence report as a PDF. It is not the EA file.
It is inside the final page of the PDF, so the reader finds it after reviewing the evidence.
No. Markets change and trading involves risk. ForwardTested is built around testing and evaluation rather than profit promises.
No. AI-generated code can contain errors. The workflow includes compiling, debugging, reviewing, backtesting, and improving generated code.
The current workflow is designed around MT5 and MQL5.
No. ForwardTested provides trading software context, educational material, and development workflows. Users remain responsible for their own trading decisions.
Start with the evidence report. If the workflow clicks, move into the builder system and start turning rules into something testable.
Build. Test. Improve.