Strategy Builder
Describe a market thesis in natural language and organize it into structured strategy logic.
Build, Backtest, and Execute Prediction Market Strategies
Turn a market idea into structured strategy logic, evaluate it against historical data, and run it live through one connected workflow.
Strategy Building · Historical Backtesting · Simulation · Live Execution · Portfolio Monitoring
Turn a Market Thesis into a Structured Strategy
Pythra Forge helps users move from an informal market idea to a strategy that can be reviewed, tested, and monitored. Describe a thesis in natural language, organize the conditions that matter, evaluate the assumptions against historical data, and decide how the strategy should run.
The purpose of Forge is not to turn uncertainty into certainty. It is to make strategy logic, assumptions, execution conditions, and risk easier to inspect before and after a strategy is activated.
From Research to Live Execution
- 01
Research the Market
Review the market question, current probability, relevant events, public information, and connected market signals.
- 02
Build the Strategy Logic
Turn the thesis into structured conditions, including the signals to watch, entry and exit logic, and risk controls.
- 03
Backtest the Assumptions
Evaluate how the strategy logic would have behaved against available historical market data and identify where the assumptions may be fragile.
- 04
Simulate Before Going Live
Run the strategy in a simulated environment to observe its behavior without immediately committing real funds.
- 05
Execute and Monitor
Activate live execution when ready, then monitor strategy status, positions, activity, and performance through the Pythra workflow.
One Workflow for the Full Strategy Lifecycle
Historical Backtesting
Evaluate assumptions against available historical market data and review how the strategy would have behaved.
Simulation
Observe strategy behavior in a simulated environment before enabling live execution.
Live Execution
Run enabled strategies with real funds and monitor their activity as market conditions change.
Portfolio Monitoring
Review strategy status, positions, activity, and performance from one place.
Built on Public Market and Event Information
Pythra uses publicly available information, including prediction market data, public news and official sources, and relevant public signals from social media.
Data coverage, availability, and update frequency may vary by source, market, platform, and region. Social signals are used to identify changes in attention and topics for further research. They are not treated as verified evidence on their own.
Users should review the market question, resolution rules, available liquidity, source quality, and current conditions before enabling a strategy.
Read the Pythra research methodologyPythra Forge FAQ
What is Pythra Forge?
Pythra Forge is Pythra’s strategy workflow for prediction markets. It helps users structure a market thesis, evaluate it through historical backtesting and simulation, enable live execution, and monitor the resulting activity.
Is Pythra Forge available now?
Yes. Strategy building, historical backtesting, simulation, live execution, and portfolio monitoring are currently available in Pythra.
Does live execution use real money?
Yes. When live execution is enabled, strategies may execute using real funds. Users are responsible for reviewing their settings, permissions, market conditions, and financial risk before activation.
What information does Pythra Forge use?
Pythra uses publicly available prediction market data, public news and official sources, and relevant public signals from social media. Coverage and update frequency may vary.
Do backtesting results predict future performance?
No. Backtesting describes hypothetical historical behavior based on available data and assumptions. It does not predict or guarantee future results.
Does Pythra provide financial advice?
No. Pythra provides research, strategy, execution, and monitoring tools. Users remain responsible for their own decisions and risk.
Turn Your Market Thesis into a Strategy You Can Test
Build the logic, evaluate the assumptions, and choose when a strategy is ready to run.