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We publish when we have something specific to say about no-code backtesting, version traceability, or systematic research workflow — not on a fixed schedule.
A practical guide to no-code crypto strategy backtesting, what to check before trusting results, and how Traseq keeps research version-linked.
How to express a moving average crossover strategy as no-code rules in Traseq, why crossovers whipsaw, and the honest SMA(200) result on real BTC/USDT 1H data.
How to express an RSI mean reversion strategy as no-code rules, plus the honest backtest result from Traseq's RSI demo template.
The turtle-style Donchian breakout idea as no-code rules, plus an honest BTC/USDT backtest result and why breakout win rates are low by design.
A balanced look at Traseq and TradingView for crypto backtesting, framed by use-case fit rather than which tool is better.
How curve fitting makes a backtest look great in-sample yet fail live, the warning signs to watch for, and how version traceability makes over-optimization visible.
The definitive no-code backtesting guide for crypto spot strategies, from turning a chart idea into rules to reading metrics and avoiding the classic traps.
A practical comparison of the two opposing crypto trading styles — trend following and mean reversion — with honest backtest numbers showing why regime decides which one wins.
The silent biases that make a backtest look better than reality, with crypto examples and a short audit checklist.
How to split crypto history into in-sample and out-of-sample periods, why a strategy that only shines in-sample is probably overfit, and how to run the split in Traseq.
A high win rate feels reassuring, but a 90%-win strategy can still lose if the rare losses are large. Here is how to read win rate alongside expectancy and profit factor.
Skip the ranked lists. Use this checklist of what actually matters in a no-code backtesting tool, and see honestly where Traseq fits and where it does not.
How an AI agent can drive crypto strategy research in Traseq through the same authoring contract the no-code editor uses — build, backtest, compare, iterate.
How small trading desks turn scattered screenshots and untracked tweaks into reproducible research using version-traceable strategies, comparison sets, and shared workspaces.
A professional workflow for comparing backtest results side by side so strategy decisions come from tradeoffs, not one attractive metric.
A practical first-backtest workflow for crypto spot strategy research: choose a finalized version, configure assumptions, run the test, and read the first result.
A practical workflow for turning chart ideas into no-code crypto strategy rules, finalizing a version, and preparing the strategy for a reproducible backtest.
A senior-level guide to research traceability in backtesting: why every result needs a locked strategy version, explicit run settings, and a clean comparison path.
A senior-level guide to reading backtest metrics in the right order: validate the test first, screen profitability, inspect drawdown, then compare risk-adjusted returns.
A practical guide to reading drawdown depth, duration, recovery behavior, and comparison workflows before trusting a crypto strategy backtest.