Edgecraft is being built in stages: starting with a faster way to create, test and understand strategies, then expanding into deeper validation, optimisation, live monitoring and execution.
This roadmap shows what users can access today, what we are actively developing and the longer-term direction of the platform.
This roadmap reflects our current direction, not fixed release commitments. Priorities, scope and timing may change as we learn from users and continue testing the product.
Users can access this in the current product.
The capability is being built, tested or adapted for user access. Some underlying functionality may already work in Edgecraft’s internal research environment.
Part of the product direction, but the scope and timing may change.
At a glance
Turn an idea into a working, tested and analysed strategy.
Move from a convincing backtest to stronger evidence.
Keep strategies healthy as markets and live performance change.
Build a wider strategy intelligence ecosystem.
Start with an idea, an existing ruleset or a Pine Script strategy. Edgecraft turns it into something you can test, analyse and improve without building your own research infrastructure.
Describe a strategy in everyday language, paste in Pine Script or provide existing strategy rules. Edgecraft helps turn the idea into a working strategy.
Run the strategy across years of historical market data to understand how it would have behaved in previous conditions.
Review detailed performance, risk and trade behaviour rather than relying on a headline return or a clean equity curve.
Ask questions, investigate weaknesses and improve the strategy with AI assistance while keeping control of the logic and decisions.
Inspect strategy behaviour through integrated TradingView charts. The current charts are view-only, with deeper interactive tools planned next.
Go from an idea to a tested and analysed strategy without writing the full system yourself.
The next stage brings Edgecraft's deeper research capabilities into the user product—helping traders optimise intelligently, challenge overfitting and build stronger evidence before going live.
The goal is to find several credible approaches rather than one result that has been tuned too closely to the past.
A strong-looking backtest may reflect luck or historical noise. These checks are designed to help users understand how much evidence sits behind the result.
The objective is to close the gap between building a strategy, proving it more rigorously and deciding whether it is ready for live use.
The aim is not to find the best-looking result. It is to find strategies with stronger evidence behind them.
Join the waitlist and tell us which validation tools matter most to your workflow.
Join the waitlist →The longer-term workflow moves beyond one-off backtesting toward portfolios, live monitoring and carefully controlled adaptation.
The aim is a more balanced portfolio rather than depending on one strategy to carry the full result.
Identify when a live strategy begins behaving differently from its backtest before the gap becomes harder to manage.
Adaptation should be controlled, testable and visible—not a black box.
AI should support oversight and investigation while keeping the trader in control.
Explore how on-chain activity, market sentiment and breaking news could support strategy scoring, market-condition awareness and live supervision.
Over time, Edgecraft can extend the same evidence-led workflow across more venues, communities and asset classes.
Expand beyond current connectivity to support more venues, including Binance, Kraken and others, while adapting to the execution conditions of each exchange.
Create a place to discover, compare and share strategies supported by validation standards rather than cherry-picked backtests.
Marketplace features depend on strong validation, quality and governance controls being in place first.
Extend the Edgecraft workflow into equities, foreign exchange, rates and cross-asset portfolios, while accounting for the different rules and structures of each market.
We are building Edgecraft around the problems that most affect trust in a strategy: unrealistic assumptions, overfitting, shallow analysis and changing market conditions.
Prioritise capabilities that help traders make clearer, better-supported decisions.
Strengthen testing and validation before increasing automation or live control.
Make important decisions, limits and assumptions visible to the user.
Use feedback from early users to refine scope, sequencing and product experience.
This is why the roadmap may change. The direction is clear, but the order and implementation will continue to respond to evidence and user feedback.
Be one of the first to get access.
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