Editorial policy

About Tradelyze, and how its Learn pages are researched and reviewed

Last reviewed: 16 September 2026·Tradelyze

Tradelyze (tradelyze.io) is a web tool, in beta, operated by Pick MyTrade Pvt Ltd (India). It re-runs a TradingView Pine Script strategy's backtest, checks it against your exported trades, then runs parameter optimization, walk-forward testing, a five-check robustness score and prop firm rule checks. It places no trades and gives no financial advice.

This page covers what Tradelyze does not do, who writes the Learn pages, how those pages pick sources and label numbers, what their dates mean, and how to report a mistake.

What is Tradelyze, and what does a run do?

Tradelyze is a web tool for finding out whether a TradingView strategy's backtest holds up before you risk money on it. A backtest replays a strategy's rules over past prices and lists the trades it would have taken. Tradelyze starts from a backtest you have already run in TradingView's Strategy Tester. It is built for traders who have a Pine Script strategy and want to know whether its results are real, often before paying for a prop firm challenge.

You upload three things: the Pine Script strategy, the trade list exported from the Strategy Tester as a CSV file, and an OHLCV price file for the same instrument and timeframe. OHLCV means the open, high, low, close and volume of each price bar. Tradelyze refuses a submission without the trade list. A Tradelyze run then passes through five stages, named in the app as follows:

1. Baseline Matching. Tradelyze runs your script at its default settings on a Pine Script backtester and compares the trades with your TradingView export.
2. Optimizing. Parameter optimization tries many versions of your input settings. Each version is a full backtest, and the search looks for more profit and steadier returns with smaller drops in the account.
3. Walkforward Analysis. Walk-forward testing tunes the settings on one stretch of history, then scores them on the stretch that follows, which the tuning never saw.
4. Robustness Scoring. Five separate stress tests ask whether the result depended on luck. The robustness score combines them into one number out of 100.
5. Prop Firm Evaluation. The results are checked against the rules of each prop firm you pick. A prop firm gives traders a funded account after they pass a paid evaluation, usually called a challenge.

Every card in the resulting report is explained in How Tradelyze validates a strategy. To judge the whole report, not one tile, use the pre-trade checklist. The same checks, described without any product, are in how to validate a trading strategy.

What does Tradelyze not do?

Tradelyze analyzes backtests. It does not rewrite your code with AI, trade, give advice, supply price data or guarantee a result. Some descriptions of Tradelyze, including older wording on Tradelyze's own site, say otherwise. The table below pairs each misunderstanding with what actually happens and where that is stated.

Who makes Tradelyze, and how can I check it before paying?

Tradelyze is operated by Pick MyTrade Pvt Ltd, a company incorporated in India under the Companies Act, 2013, according to Tradelyze's Terms of Service. The Terms of Service, Privacy Policy and Disclaimer are public at tradelyze.io. All three name the same company and give [email protected] as the contact address.

Tradelyze wrote this page, so treat it as a disclosure, not an independent review. It quotes no star ratings, user counts or testimonials. You can check these facts about Tradelyze before you spend money, without an account:

• Operator and contact. Pick MyTrade Pvt Ltd and [email protected], named in the Terms of Service, Privacy Policy and Disclaimer.
• Payments. Credits are bought through Cashfree Payments, according to the Terms of Service. The Privacy Policy says Tradelyze does not store card or UPI details.
• Refunds. The Terms of Service and the Refund Policy say all credit purchases are final and non-refundable, so buy only credits you plan to use.
• Status. Tradelyze is in beta. Its Terms of Service say features, pricing and credit allocations may change without prior notice.
• Your files. You keep ownership of your Pine Script, according to the Terms of Service. The Privacy Policy says uploaded strategies, market data and trade history are not shared with third parties.

The cheapest real test uses the free credits that new users receive during the beta, according to the Terms of Service. Submit a strategy whose TradingView results you already know and see whether Baseline Matching reproduces your trades. A high Match Rate is the first sign that the rest of a Tradelyze report describes your strategy and not a different one. Create an account to try it.

Who writes and reviews the Learn pages?

The Tradelyze team writes and reviews the Learn pages, and every page is published under the Tradelyze name. The pages carry no individual author byline. They are written for traders who have a TradingView strategy and a backtest but no statistics background. Every technical term is meant to be defined, or linked to its explainer, where it first appears.

Tradelyze sells credits for its runs, so the Learn pages have a commercial interest. Three editorial rules exist to keep that interest from bending the content:

• The general explanation of a method, and how outside authors and other platforms treat it, comes before any section about Tradelyze.
• A section about Tradelyze states what Tradelyze does not check, as well as what it does.
• Where experts or platforms disagree, the page names both sides instead of picking the one that suits Tradelyze.

Statements about how Tradelyze behaves, such as a label, a pass threshold or a credit charge, are checked against the Tradelyze app and its source code. The Sources list on each page gives the date of that check, because Tradelyze is in beta and its behavior can change after a page is reviewed.

How do Learn pages choose their sources?

Learn pages use primary sources first. A primary source is where a fact originates: the paper that defined a statistic, the platform documentation that describes a feature, or the firm's page that states a rule. A secondary source, such as a blog post or forum thread, repeats a fact from somewhere else. Learn pages use a secondary source only as a labeled, attributed example.

A web address is linked only when it is stable and has been checked, such as a help center article, an SSRN abstract or a DOI, the permanent identifier given to a published paper. An address is never guessed. When a cited page later moves or disappears, the Sources list says so and keeps the full citation, so the claim can still be traced.

Facts that change on their own schedule are re-checked when a page is reviewed: prop firm limits, TradingView features and Tradelyze's own labels. A figure that could not be re-checked keeps its original retrieval date, and the page says that it was not re-checked.

How are unsourced numbers and made-up examples labeled?

Every number on a Learn page is meant to say where it came from, in the same sentence. When a number has no outside source, one of three labels says why. The labels let you tell evidence from convention and from arithmetic.

A worked example of an estimate is how long a Tradelyze run takes. Tradelyze's optimizer settings plan on about 23 seconds per backtest. The same settings file records a measured 51 to 84 seconds per backtest, from six test runs. The automatic optimization search never runs fewer than 60 backtests, one after another, and walk-forward testing and robustness checks add more.

The 23-second row is 60 × 23 = 1,380 seconds, and the whole-run figure is 129 × 23 = 2,967 seconds, about 50 minutes. The 84-second column repeats the arithmetic with the slowest measured backtest. None of these is an average of real customer runs, which is why how long a Tradelyze run takes presents its range as an estimate.

The same labels matter inside a Tradelyze report. Tradelyze colors Match Rate green at 90% or more, amber at 80% or more and red below 80%, according to Tradelyze's code. No primary source sets those bands; they are a display choice. A green badge is a convenience, not proof. Knowing which numbers are evidence tells you which ones deserve weight before you pay a challenge fee.

What does the Last reviewed date mean?

The Last reviewed date on a Learn page is the day the page was last checked against its sources. It changes only when content was checked or changed, not to make a page look recent, and the original publication date stays fixed. The date is set in four places at once, so readers and search engines see the same one:

1. the visible Last reviewed line under the page title, repeated in the footer note;
2. dateModified in the page's structured data, the machine-readable summary that search engines read;
3. the article:modified_time tag in the page's head;
4. the page's lastmod entry in the site's sitemap.xml file.

Facts that change on their own schedule carry a second date: the day they were retrieved. Here is a constructed example, not a quote from a real page. A page last reviewed in September gives a firm's limit "as of 28 July". That tells you the limit was not re-checked in September, so check the firm's own page before relying on it.

Credit prices are handled differently. Only the Learn FAQ states a credit price or a signup allowance, and it carries the date those figures were checked against the app, because Tradelyze's Terms of Service say pricing and credit allocations may change during the beta. Every other Learn page leaves the figures out and links to the FAQ instead. The price shown in the Tradelyze app before you buy is the one that applies.

How do I report a mistake on a Learn page?

To report a mistake on a Learn page, email [email protected]. Signed-in users can also open a support ticket in the Tradelyze app. A report is quickest to check when it includes:

• the page address, for example https://tradelyze.io/learn/editorial-policy-and-methodology;
• the sentence or number you think is wrong;
• a source showing the correct figure, and the date you checked it.

The claim is then checked against the page's cited source and against yours. If the Learn page is wrong, the sentence is corrected, the Sources list is updated, and the Last reviewed date changes in all four places. If the page was right when written but the outside fact has since changed, for example a firm raising a limit, the figure and its retrieval date are updated.

A number that looks wrong inside a Tradelyze report, rather than on a Learn page, is a software question and goes to the same address or a support ticket. Complaints about personal data go to the Grievance Officer named in Tradelyze's Privacy Policy, at [email protected].

What are Tradelyze's official company details?

Tradelyze's company details below are taken from Tradelyze's own legal pages. Nothing here comes from a business directory or a third-party profile.

Where should I start reading?

If you are new to testing a strategy, read these Learn pages in this order. In the Tradelyze app, many result tooltips also carry a Learn more link that opens the matching Learn page.

• What is backtestingWhat a backtest is, what it can and cannot tell you, and when a backtest result can be trusted.
• How to validate a trading strategyThe checks to run, in order, before trading a strategy or paying for a challenge, without reference to any product.
• How Tradelyze validates a strategyEach stage of a Tradelyze run, how to read every card in the report, and what the report does not cover.
• Learn FAQShort answers to common questions about backtesting, prop firm rules and Tradelyze.
• Learn hubEvery Learn page, grouped by topic.

Frequently asked questions about Tradelyze and the Learn pages

Sources

• Tradelyze, Terms of Service, last updated 6 April 2026, reviewed 14 September 2026: operator Pick MyTrade Pvt Ltd, incorporated under the Companies Act, 2013, India (section 1); free credits for new users during the beta, and credits bought through Cashfree Payments (section 4.1); payment processing by Cashfree Payments (section 4.2); credit purchases final and non-refundable (section 4.3); ownership of uploaded Pine Script (section 6.2); no financial advice (section 7); beta status, and features, pricing and credit allocations subject to change (section 8); governing law (section 12); contact (section 15). Section 3 of this version still describes an earlier design, an AI conversion to Backtrader code and Bayesian optimization, which does not match the current pipeline.
• Tradelyze, Privacy Policy, last updated 6 April 2026, reviewed 14 September 2026: operator Pick MyTrade Pvt Ltd (section 1); card, UPI and bank details handled by Cashfree and not stored by Tradelyze (section 2.1); uploaded Pine Script strategies, market data and trade history not shared with third parties (section 5); Grievance Officer contact [email protected] (section 10).
• Tradelyze, Disclaimer, last updated 6 April 2026, reviewed 14 September 2026: not a financial advisor, broker, dealer or research analyst, and not registered with SEBI (section 1); no guarantee of trading results or of passing a prop firm challenge, and a strategy graded A+ can still fail live (section 2); prop firm rules may be out of date (section 4); not affiliated with TradingView or any prop trading firm (section 5); beta software (section 6); hypothetical performance (section 8); no actual trading, client funds or broker role (section 10). Sections 4 and 5 of this version still describe converting Pine Script, and section 4 an AI conversion to Backtrader code, which does not match the current pipeline.
• Tradelyze, Refund and Cancellation Policy, last updated 6 April 2026, reviewed 14 September 2026: all credit purchases final and non-refundable (section 3); payment corrections for failed, duplicate or unauthorized charges (section 5). Section 2 of this version still describes AI-powered strategy conversion.
• Tradelyze web app and optimizer source code, reviewed 14 September 2026: the five stage names; the required trade list and the upload form's note that Tradelyze holds no market-data redistribution license; the baseline backtest, run on a remote Pine Script backtesting service rather than a local Backtrader engine; no Backtrader or AI model library imported by the backend or the optimizer; the automatic search budget of never fewer than 60 backtests, run one after another; the optimizer settings' planning figure of about 23 seconds per backtest, the measured 51 to 84 seconds per backtest from six test runs, and the budget table of 129 backtests, about 50 minutes, for a strategy with 1 to 5 settings at 2 walk-forward windows; the Match Rate color bands at 90% and 80%; prop firm time-limit, news-trading and weekend-holding rules not evaluated; the note that extra timeframe price files have not been confirmed to attach correctly; the Continue anyway option after a baseline mismatch; and the Learn more links in result tooltips. The home page's search description and structured data and the sign-in page were also read on that date for the older Backtrader wording. The run-time figures on this page are arithmetic from those numbers, not measured run times.
• Robert Pardo, The Evaluation and Optimization of Trading Strategies, 2nd edition, Wiley, 2008. Named here only as an example of a primary source cited on the walk-forward efficiency page.
• David H. Bailey and Marcos López de Prado, The Deflated Sharpe Ratio: Correcting for Selection Bias, Backtest Overfitting and Non-Normality, Journal of Portfolio Management 40(5), 2014. Named here only as an example of a primary source cited on the robustness score page.