Coming Soon
Build. Prove. Trade.
A full graphical trading workstation for serious algo traders.
Lynx-Forge is the upcoming Signal Lynx application for creating, optimizing, validating, paper trading, and live trading your own strategies from one local-first command center.
The mission is simple: help you deploy stronger strategies, pursue better real-world PnL, reduce avoidable drawdown, and preserve the portfolio while keeping your API keys on your machine.
Operator Workflow
Lynx-Forge is designed to carry a strategy through the full lifecycle: from first idea to live execution, then back through monitoring and reoptimization as market conditions change.
Build new Python strategy plugins or start from Signal Lynx templates like Super-AO and Gypsy Bot style modules.
Tune strategy and risk-management variables against market conditions to seek stronger PnL and better drawdown control.
Use backtesting, walk-forward analysis, Monte Carlo testing, and stress checks to prove the strategy deserves a shot.
Move qualified strategies into live-candle paper trading so the system can compare real-time behavior against expectations.
Promote proven strategies into guarded live spot execution using the same exchange-management foundation as Lynx-Relay.
Track portfolio progress, reconcile exchange state, watch for strategy drift, and reoptimize when market conditions change.
Lynx-Forge is not a command-line science project. It is being built as a graphical application for operators who want to create strategies, test them hard, and run them with disciplined execution controls.
Lynx-Forge is built as a visual trading workstation. Strategy building, testing, optimization, paper trading, live execution, charts, logs, and monitoring are handled through the application interface.
The research pipeline exists to help you deploy stronger strategies, seek better returns, reduce avoidable drawdown, and protect the portfolio from weak or stale logic.
Your stack runs on your computer or VPS. Your exchange API keys stay on your machine, encrypted in the same heavy-duty vault approach used by Lynx-Relay.
The Forge is the strategy factory inside Lynx-Forge. Its job is to help you find strategy candidates with real potential, improve them, validate them, and keep them adapting as the market changes.
A strategy does not win because it looked good once. It wins by proving itself across data, market regimes, risk assumptions, paper trading, and live monitoring.
The Forge is designed to help the user pursue stronger PnL, reduce drawdown, and preserve the portfolio by pushing strategy candidates through a disciplined evidence chain before live money is deployed.
Rolling optimization is being built into the workflow so strategy and risk-management variables can be refreshed against changing market conditions instead of being left to drift.
Signal Lynx is built around local-first control. Lynx-Forge follows the same rule: the trading application runs on your computer or VPS, your strategy code stays under your control, and your exchange API keys stay local in an encrypted vault.
Exchange credentials are stored locally in an encrypted vault. Lynx-Forge is not designed around handing your API keys to a cloud black box.
Run it on your trading computer or VPS. Signal Shield can prepare the system for hardened always-on operation.
Bring your own Python strategy plugins, adjust execution behavior, tune risk controls, and choose how the system trades.
No cloud key custody. No mystery execution box.
Lynx-Forge is designed for users who want trading automation without giving up control of the machine, the strategy, or the exchange keys.
Lynx-Forge is being built to do more than identify candidates. It is also the application that runs them: paper trading, live-candle validation, guarded live spot execution, order management, portfolio monitoring, reconciliation, and reoptimization.
The first deployment target follows the Lynx-Relay exchange foundation and focuses on spot execution.
Execution settings are designed around the flavors algo traders care about: order type, size, value, percentage logic, and exchange routing.
If the computer, VPS, or connection goes down, Lynx-Forge is designed to reconcile exchange state when it comes back online.
Portfolio monitors, drift checks, panic-stop controls, and reoptimization workflows help keep deployed strategies inside their validated lane.
Lynx-Forge requires an internet connection for live data, paper trading, webhook ingestion, exchange communication, and live execution. It is intended to run continuously on a trading computer or VPS.
If the machine or connection goes down, the recovery workflow is designed to reconcile when it comes back online by checking exchange state, open orders, fills, balances, and active strategy status before normal operation resumes.
Target requirements are currently expected to start near the Lynx-Relay baseline, with final validation still in progress.
Strategy research, optimization, Monte Carlo testing, and walk-forward analysis can become CPU-heavy depending on symbols, timeframes, data depth, and search settings.
Lynx-Forge is being built for operators who want to create their own edge, prove it, deploy it, monitor it, and keep improving it without surrendering their stack to someone else.