↗Example concept
Trend Follow
Follow a defined trend and use confirmation rules to avoid taking every market move.
Rule outline
Review deployment path →Trend condition → entry confirmation → predefined exit and risk rules.
AlphaMesh · AI Bots
Automated trading,
under your control.
Explore supported strategies, understand the evidence and risk, and follow a controlled path from research to paper testing and — when the platform is ready — live execution. AlphaMesh will review custom strategy requests rather than host arbitrary user-written code.
01 · Strategy library
Strategies with clear rules.
A curated library of strategies reviewed and implemented by AlphaMesh. These are layout examples only; strategy availability and live data will be added as the underlying engines are developed.
⌁Example concept
Breakout Confirmation
Look for a defined range break, with confirmation and safeguards against false moves.
Rule outline
Review deployment path →Range identified → breakout confirmed → stop and exit logic applied.
◉Example concept
Mean Reversion
Explore moves away from a defined reference, with strict conditions for entry and invalidation.
Rule outline
Review deployment path →Deviation detected → confirmation checked → exit or invalidation rule triggered.
The strategy names and descriptions above are illustrative placeholders, not active bots or verified trading systems. No performance results are being claimed.
02 · Performance & risk
Evidence before execution.
Each strategy should show how it was tested and what risks it carries. This section defines the information AlphaMesh will display once reliable backtesting and monitoring data are connected.
Backtest report
Test period, market, timeframe, number of trades, fees and slippage assumptions.
Planned report fieldDrawdown & exposure
Maximum drawdown, position exposure, consecutive losses and other useful risk measures.
Planned risk metricsPaper-trading record
Track simulated results separately from historical backtests and any future live results.
Planned monitoringLive execution record
When enabled, show actual fills, fees, status and realised performance separately.
Requires backend integrationRisk reminder
Backtests and paper trading cannot guarantee future results. Leverage can magnify losses. Strategy performance should never be presented without its test assumptions and risk context.
03 · Configure & deploy
A controlled path from idea to execution.
Strategy parameters will be limited to the settings supported by each approved strategy. Exchange connection, paper trading and live deployment depend on the backend implementation.
Choose a strategy
Read the rule summary, supported markets, timeframe and known limitations.
Strategy selectionSet allowed parameters
Review position sizing, stop loss, take profit and other strategy-specific safeguards.
Configuration designTest before live use
Review backtest assumptions and paper-trading results before considering live deployment.
Testing workflow plannedConnect and monitor
Future account tools should show bot status, execution events and risk settings. Live execution is not connected in this preview.
Backend integration requiredDesigned around controlled access
AlphaMesh is intended to bridge approved strategies to supported exchange connections. The final connector and credential-handling design must be implemented and security-reviewed before live trading is offered. Never enter API keys or passwords into this page.
04 · Request a strategy
Your rules.
Our review process.
Tell us how your setup works. AlphaMesh can review suitable requests and decide whether to develop them as supported strategies; submitting a request does not guarantee implementation.
The AlphaMesh principle
Clear rules. Visible risk. Controlled access.
We will build the strategy library around transparent rules and reviewed implementations, not unrestricted user-code execution. Performance and execution claims will be added only when supported by connected, verifiable data.
Explore Multiscreen Charts →