Edgecraft is being built for active crypto traders who want to understand whether a strategy holds up before capital is on the line. Here are answers to the most common questions about the platform, realistic backtesting, AI-assisted strategy analysis and early access.
Open the app →Our roadmap shows what traders can use in Edgecraft today, what we are actively developing and the longer-term direction of the platform.
The roadmap reflects our current direction rather than fixed release commitments. Priorities, scope and timing may change as we learn from users and continue testing the product.
Edgecraft is a strategy intelligence platform for active crypto traders. It helps traders build, test, validate and understand trading strategies using realistic backtesting, AI-assisted analysis and actionable performance insights.
Edgecraft is built for active traders who rely on indicators, alerts, bots, or rule-based trading systems and want a better way to know whether a strategy can hold up under real market conditions.
Strategy intelligence means going beyond a simple backtest result. It combines realistic testing, validation, performance analysis, risk insight and recalibration support so traders can understand whether a strategy deserves capital.
Edgecraft is being built around a complete strategy intelligence workflow: build, test, validate, optimise, understand, monitor and adapt.
Today, users can build strategies from plain English, Pine Script or existing logic, backtest them, review detailed analysis and refine them conversationally. The deeper validation, optimisation, portfolio, live monitoring and execution stages are being introduced over time.
Edgecraft currently helps users turn plain-English ideas, Pine Script or existing strategy logic into working trading strategies. Users can backtest those strategies against historical market data, review detailed performance and trade analysis, and refine the strategy through conversation.
Integrated charts are currently available in a view-only format. Interactive chart tools, deeper optimisation, overfitting defence, out-of-sample validation workflows, paper trading and user-facing live deployment are being developed in stages.
The Edgecraft product roadmap shows what is available today, what is currently in development and the longer-term direction of the platform.
The next stage focuses on stronger validation and optimisation, including interactive charts, multi-objective optimisation, overfitting checks and out-of-sample testing. Later stages explore portfolio tools, live monitoring, controlled strategy adaptation, additional exchange connectivity and AI-assisted trade supervision.
Edgecraft is being designed to support strategy building, realistic backtesting, out-of-sample validation, trade-quality analysis, drawdown investigation, robustness testing, AI-assisted performance insight and strategy recalibration workflows.
No. Edgecraft is designed to let traders describe strategy ideas in plain language, provide Pine Script or use existing strategy logic without building the full research system themselves.
The current workflow supports strategy creation, backtesting, analysis and conversational refinement. Additional tools for optimisation, validation and live workflows are being developed in stages.
Yes. You can import, recreate, or refine existing TradingView Pine Script strategies, Python trading strategies, or other rule-based trading systems and use Edgecraft to backtest, optimise, and analyse them under realistic market conditions.
For now, we're focused on Crypto, but we may extend to other asset markets in the future.
Edgecraft supports multiple trading styles and strategy types, including crypto trading, day trading, swing trading, scalping, momentum trading, trend following, mean reversion, and algorithmic trading strategies. You can build, backtest, optimise, and analyse strategies with realistic simulations and actionable performance insights.
Realistic backtesting means testing a strategy using assumptions closer to live trading conditions, including fees, slippage, spreads, funding, latency, liquidity constraints, partial fills and market regime changes.
Backtests often fail live because they are too clean. They may ignore trading costs, execution delays, changing spreads, funding rates, liquidity, overfitting or the fact that market conditions change after the test period.
Most backtesting tools show whether a strategy would have worked on past data. Edgecraft is being built to help traders understand whether that performance is realistic, robust, explainable and likely to survive changing conditions.
Strategy validation means testing whether a strategy has stronger evidence behind it than a good-looking historical result.
It can include realistic assumptions, out-of-sample testing, overfitting checks, parameter sensitivity, drawdown analysis and performance across different market conditions.
Some deeper validation capabilities are still being brought into the user-facing product.
Out-of-sample testing means evaluating a strategy on data that was not used to build or optimise it. This helps reduce the risk that the strategy only worked because it was fitted too closely to past market behaviour.
Overfitting happens when a strategy is tuned too closely to historical data. It may look excellent in a backtest but perform poorly in live markets because it captured noise rather than a repeatable edge.
Strategy decay happens when a strategy that once performed well begins to lose effectiveness as market conditions change.
Edgecraft’s longer-term direction includes comparing live performance with tested expectations, detecting meaningful drift and supporting controlled recalibration.
Edgecraft uses AI as an assistant for strategy creation, investigation and analysis. The goal is to help traders build, test, compare and understand strategies more efficiently, not to replace trader judgment.
The longer-term roadmap explores AI-assisted trade supervision within clearly defined user controls, limits and audit trails.
No. It is a strategy intelligence platform that helps traders validate and understand strategies. AI supports the workflow, but the trader remains in control.
The longer-term roadmap explores AI-assisted trade supervision within clearly defined user controls, limits and audit trails.
No. Edgecraft is not a signal provider. It is designed to help traders analyse and validate strategies, not tell users what to buy or sell.
No. The AI helps investigate strategy behaviour, explain performance, compare variants and support analysis.
The longer-term roadmap explores AI-assisted trade supervision within clearly defined user controls, limits and audit trails.
No. Edgecraft does not guarantee profits or trading outcomes. It helps traders test and understand strategies more rigorously before capital is at risk. Trading always involves risk.
No. Edgecraft is a strategy analysis and intelligence platform. It does not provide financial advice, investment recommendations or guaranteed trading outcomes.
User-facing live execution is not currently generally available.
Core live-trading functionality already operates within Edgecraft’s internal research environment, but user-ready deployment workflows, controls and safeguards are still being developed.
The planned direction includes paper trading, user-controlled deployment, built-in risk controls and broader exchange connectivity.
Edgecraft is being developed with exchange-aware assumptions such as fees, funding, slippage and execution constraints.
Hyperliquid connectivity currently supports internal research and trading workflows, while additional exchange connections and user-facing integrations are being developed in stages.
Edgecraft helps traders examine risk through drawdown, robustness, trade quality, parameter sensitivity, market regime dependency and performance drift. It does not remove trading risk, but it helps make risk easier to see and investigate.
You can join the early access waitlist by submitting your email through the Edgecraft website. The team will use the waitlist to invite early users and gather feedback as the product develops.
Edgecraft is currently in development, with early user-facing capabilities already available for strategy creation, backtesting, detailed analysis and conversational refinement.
The wider strategy intelligence workflow—including deeper optimisation, overfitting defence, portfolio tools, live monitoring and execution—is being delivered in stages.
See the product roadmap for the latest view of what is available and what is being developed
No. The roadmap reflects Edgecraft’s current product direction, not fixed release commitments. Priorities, scope and timing may change as we test the platform, respond to technical findings and learn from early users.
When a capability is marked as “In development”, this may mean that some of the underlying functionality already works in Edgecraft’s internal research environment, while the user experience, controls and safeguards are still being developed.
Early-user feedback will help Edgecraft refine priorities, workflows and the way planned capabilities are presented in the product.
Joining the waitlist does not guarantee that every request will be built or that roadmap timings will remain fixed, but it gives the team a clearer understanding of which problems matter most to active traders.
Yes. Early users should be invited to share feedback on the product.
Pricing has not been finalised yet. Edgecraft is currently focused on early access, product validation and feedback from active traders.
No exchange access is required to join the waitlist. Any future exchange integrations will be designed with security, permissioning and trader control as priorities.
No. Edgecraft is not a managed money platform. Users remain responsible for their own funds and trading decisions.
Initially, Edgecraft may use information users provide through the waitlist and product feedback. As the platform develops, it may use strategy inputs, backtest settings and performance data to support analysis.
Yes. Protecting user data and strategies is a core priority for us. We're building Edgecraft with strong security and privacy principles to ensure user strategies, configurations, and trading data remain protected.
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