Platform · EMIL · Strategy Builder
From an idea to an audited strategy.
The EMIL Strategy Builder is a multi-agent strategy lab. Fifteen agents research, generate, backtest, stress and rank candidate strategies; a human approves what moves to paper trading; every step lands in a tamper-evident audit trail. The demo below runs on simulated accounts with live market quotes — no orders are placed.
Trading leveraged products carries a high level of risk to capital. Technology can improve analysis and controls; it cannot remove market risk.
- What it is
- A workspace of sixteen screens — dashboard, explore, pipeline, builder, strategies, portfolio, analytics, research, positions, markets, connections, risk, alerts, roles, audit and settings — around one fifteen-agent pipeline that turns market data into ranked strategy candidates.
- Who it is for
- Quant and discretionary desks that want to see how a candidate strategy was produced before trusting it, and brokers who want to offer strategy research to clients without handing over an unreviewed bot.
- Why it matters
- Most strategy tools hide the path from data to signal. Here each agent reports what it did, the backtests carry costs and slippage, walk-forward and Monte Carlo checks filter what survives, and approval is a separate, recorded act.
- How it connects
- Strategies are read out as MQL5, Pine Script, Python or cTrader code, and deploy to demo, paper or approved accounts on the Raptor stack — behind the same risk limits and kill switch as the rest of EMIL.
- What happens next
- Open the builder, run the agent pipeline, and read the audit trail it leaves behind. Then bring your own universe and risk limits to a demo.
Live demo
Run the pipeline yourself.
This is the builder itself, running on simulated accounts. Start the agent pipeline from the dashboard, open a strategy's backtest, or read the audit trail. Quotes and charts come from the Raptor Market API; nothing you do here places an order.
Inside the builder
What each screen does
Explore
Search stocks, currency pairs, indices and crypto worldwide, with a live quote and chart, then send an instrument to the agents or the builder.
Fifteen-agent pipeline
Market data, scanning, research, sentiment, fundamentals, regime detection, indicators, generation, backtesting, robustness, risk, ranking, voting, execution and monitoring — each lit up as it runs.
Builder
One strategy, four views: describe it in words, wire entry, exit, filter and sizing blocks visually, read the pseudocode, or export platform code.
Backtests and robustness
Equity curves, drawdown and trade statistics with cost and slippage modelled, plus walk-forward and Monte Carlo checks on every candidate.
Approval before deployment
Candidates wait for a person. Approve to paper trading, or reject with a reason — both are recorded.
Code export
Read a strategy as MQL5 for MetaTrader 5, Pine Script, Python or cTrader code, and review it before it goes anywhere.
Risk and the kill switch
Drawdown, exposure and position-size limits, with an emergency stop that is visible on every screen.
Roles and permissions
Thirteen roles, from administrator and risk manager to compliance officer and read-only auditor, against one permission matrix.
Audit trail
Every agent action, approval, deployment and risk event — timestamped, attributed, tamper-evident and exportable to CSV.
Trading leveraged products carries a high level of risk to capital. Technology can improve analysis and controls; it cannot remove market risk.
Availability of products, markets, instruments and automation features differs by jurisdiction. Not all features described on this site are available or permitted in all regions. Strategies, backtests, positions and results shown in the demo are simulated and illustrative. Past performance, including backtested performance, is not indicative of future results.
Run it against your own limits
The demo shows the method. A working session configures the EMIL Strategy Builder against your instruments, your costs and the risk limits you actually enforce.