2Signals
From idea to a tested strategy — without writing code
Build and backtest in your browser. Run it anywhere with Freqtrade.
A trader has a strategy, but can’t automate it.
They know indicators and have their own rules, but testing and automation require code and multiple tools.
01
Too many separate tools
The idea moves between a chart, code, a backtester and bot configuration.
02
Every change creates more work
Changing a rule or parameter means coding and testing it again.
03
A tested strategy is not a bot
It still has to be deployed, configured and started.
idea on a chart
coding
separate backtester
bot configuration
Takeaway
The customer pays for a faster, safer path from an idea to a tested strategy ready to run.
2Signals turns an idea into a tested strategy ready to run.
ONE WORKFLOW
From idea to a strategy ready to run.
Build rules visually, backtest locally and export without rewriting the strategy.
Idea
Entry, exit and strategy assumptions
Build
Visual strategy creation without code
Backtest
Signals, trades, results and risk
Iterate
Change parameters and test again
Export
Move to Freqtrade without rewriting the logic
Takeaway
2Signals connects strategy creation, backtesting and export in one workflow.
The MVP enables visual strategy building, backtesting and analysis.

Visual strategy rules
Entry and exit logic built without code
Local backtesting
Signals, trades and results calculated in the browser
Interactive analysis
Rules, triggers and results visible on the chart
Takeaway
The core product workflow already works — from visual rules to backtest results. Controlled tests confirmed agreement with Freqtrade for selected scenarios.
The initial customer segment is active traders who want to automate strategies without code.
INITIAL SEGMENT
A TradingView user ready to automate
They have their own rules and understand indicators. The barriers are code, multiple tools and no simple path from testing to deployment.
Validation status
The public demo and Lesson 1 are live. The pilot will validate willingness to pay, repeat usage and retention.
Defines rules
Builds entry and exit logic without Python
Tests the idea
Reviews signals, trades, results and risk
Refines the strategy
Changes parameters without rewriting the logic
Exports
Moves the strategy to Freqtrade within the supported scope
Takeaway
The product works; the pilot will validate willingness to pay and repeat usage.
Existing tools cover parts of the workflow.2Signals connects them into one process.
TradingView
Chart analysis, indicators and strategy ideas.
WORKFLOW LIMITATION
Automation and execution require an additional workflow.
Freqtrade
Backtesting and execution of strategies expressed in code.
WORKFLOW LIMITATION
Building and modifying strategies requires working with code.
Automation platforms
Bot and rule creation inside a managed environment.
WORKFLOW LIMITATION
Export and control over strategy logic and execution environment may be limited.
2Signals
Visual strategy building, local backtesting, analysis and Freqtrade export.
DIFFERENTIATOR
One workflow with the option to run the strategy in an open execution environment.
Takeaway
2Signals does not replace the execution environment — it shortens the path from an idea to a tested strategy ready to run.
The R&D project formalises the strategy logic already used by the working product.
WORKS TODAY
visual rules
local backtesting
results and iteration
R&D SCOPE
versioned strategy representation
dependency graph
selective computation
SUPPORTED SCOPE
Freqtrade export
Further development
AI and integrations
experiment result data
Takeaway
The working product is the starting point. R&D formalises the strategy representation and extends where it can be used safely.
One strategy logic — from a visual rule to Freqtrade export.
Visual rule
The user builds strategy logic without writing code.

Versioned strategy representation
A readable form of the same logic for the Builder, testing, AI and export.
(EMA[high](20) + (ATR(14) * 0.5))
/\ BBANDS[high](2, 2, 0, 20).upperBandFreqtrade export
Supported rules are translated into code without manually rewriting the logic.
dataframe.loc[
qtpylib.crossed_above(
dataframe['EMA[high](20)'] +
(dataframe['ATR(14)'] * 0.5),
dataframe['BBANDS[high](2, 2, 0, 20).upperBand']
),
'enter_short'
] = 1Takeaway
One logic connects strategy creation, testing and export.
TRL 5 confirms feasibility; it does not remove technology risk.
What works today
visual rules
local backtesting
results and trades
export within the supported scope
Risk → mitigation
Risk
Lower-end devices
Mitigation plan
profiling and a low-load mode
Risk
Growing memory use
Mitigation plan
limits, data removal and selective computation
Risk
Builder, testing and export consistency
Mitigation plan
shared representation and automated equivalence tests
Risk
Multi-asset / multi-timeframe
Mitigation plan
gradual expansion of supported scenarios
Takeaway
The project focuses on open problems that cannot be solved by merely scaling the current MVP.
Four R&D packages advance 2Signals from TRL 5 to TRL 6 in 6–9 months.
Strategy language
How can the same logic be preserved across building, testing and export?
Outcome
Versioned strategy representation
Selective computation and memory
How can only the elements affected by a change be recomputed?
Outcome
Measurement of computation time and scope
Validation and equivalence
How can results be verified across device classes and scenarios?
Outcome
Testing across device classes
AI and experiment data
How can AI propose variants while validation and execution remain deterministic?
Outcome
Validated variant-proposal workflow and structured experiment data
Takeaway
Each package addresses a defined question and ends with a measurable result leading to TRL 6.
TradeEngine is the core of 2Signals.The other modules extend education, community and AI.
2Signals'
ECOSYSTEM

TradeEngine
Strategy building, backtesting, optimisation and export.
Working core · R&D

TradeLearn
Interactive education.
First lesson works

TradeHub
Publishing and developing strategies.
Planned development

TradeAI
Support for strategy building and analysis.
Planned R&D layer
Model and revenue
Free
Entry point
Pro — from USD 9.99
Complete strategy workflow
AI, higher limits and advanced optimisation
Service expansion
API and partner licensing
Offer for organisations
Takeaway
Pricing and plan scope will be validated during the pilot. Local computation is intended to reduce per-user infrastructure cost — not eliminate it.
The founder built the MVP independently.The grant funds the team, R&D and IP protection.
Ability to execute
Aleksander Froncz
Founder | Lead Software Engineer
13+ years of experience
Built a working 2Signals MVP independently
Experience in scalable web and mobile systems.
Team + IP
Code and documentation belong to the project.
A formal IP protection strategy is planned.
Licences and dependencies will be documented.
PLN 300k budget
Hardware cost eligibility requires confirmation in the programme documentation.
Takeaway
Commercialisation is one project result; most of the budget directly funds measurable technology work.
We are raising PLN 300k for 6–9 months to reach TRL 6 and launch a pilot.
Funding requested
PLN 300k
Project target
6–9 months → TRL 6
01
versioned strategy representation connecting visual creation, testing, AI and export
02
validated selective computation across device classes
03
documented correctness and performance boundaries
04
user pilot and validated commercial model
Takeaway
After the programme: a TRL 6 engine, documented validation boundaries, a completed user pilot and a commercialisation decision.