Core Concepts

These are the building blocks of Traseq. Understanding them will help you get the most out of the platform.

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Strategy

A strategy is a set of trading rules that defines when to open and close positions. Every strategy in Traseq has four parts:

• Entry Conditions — when to open a position
• Exit Conditions — when to close a position
• Entry Action — which side (Long/Short) and how much capital to use
• Exit Action — how the position is closed

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Strategy Version

Each strategy can have multiple versions, making it easy to track changes and iterate on your approach.

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Finalize

Finalizing locks a strategy version so it can be backtested. You need at least one entry condition before you can finalize. Once finalized:

• The version is locked and can no longer be edited.
• Backtest results are reproducible — anyone running the same version gets the same outcome.
• To make changes, create a new version.

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Semantic Block

Blocks are reusable pieces of strategy logic — for example, RSI below 30 or EMA Golden Cross. Think of them as building blocks you can mix and match to construct strategies. Why blocks are useful:

• Modular — break complex logic into smaller, understandable pieces
• Reusable — use the same block in multiple strategies
• Organized — browse by category: Signals, Trend, Momentum, Volatility, Volume, or Market

There are two types:

• System blocks — built-in blocks provided by Traseq
• Custom blocks — blocks your team creates within a workspace

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Backtest

A backtest runs your strategy against historical market data to see how it would have performed. You configure:

• trading pair (e.g., BTCUSDT)
• timeframe (e.g., 1h)
• date range
• starting capital
• trading fees and slippage

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How backtests are executed

Traseq uses a bar-based simulation model with consistent execution rules:

• Conditions are checked at each bar close.
• Signal entries and exits fill at the next bar open.
• Take-profit orders use a limit / gap fill.
• Stop-loss and trailing-stop orders use a stop / gap fill.
• Fees and slippage are applied after the fill price is determined.

Warning: Backtest results reflect past performance and do not guarantee future results.

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Backtest Defaults

Each workspace has its own backtest defaults — a saved set of parameters (symbol, timeframe, date range, balance, fees, and slippage) that prefill every new backtest. This way, you don’t have to reconfigure the same settings every time you launch a run.

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Comparison Set

A comparison set lets you put multiple backtest results side by side. This is useful for comparing:

• different versions of the same strategy
• the same strategy with different parameter settings
• entirely different strategies against each other

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Workspace

A workspace is where you and your team do research in Traseq. Everything is scoped to a workspace:

• strategies and backtests
• backtest defaults
• block library
• team members and permissions
• subscription plan and usage

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Research Credits and Bars

Traseq uses a workspace-level credit system to manage backtest usage.

• Each plan includes monthly research credits.
• Credits are consumed based on how many bars the backtest scans — longer periods and shorter timeframes scan more bars and cost more.
• A standard 1h / 90-day backtest scans roughly 2,160 bars and costs about 0.1 research credits.
• Paid workspaces can purchase additional credits that do not expire.
• All plans support the available timeframes: 15m, 1h, 4h, and 1d.
• Plan differences mainly limit how many bars a single backtest can scan.

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Next steps

• Interface Overview
• Build Your First Strategy