Platform

Live Execution

Live monitoring of portfolio performance, side by side with the simulated numbers.

Trade Monitor performance view: year-to-date cumulative profit and loss, realised and simulated curves almost overlapping, with realised, simulated and difference figures, commission, slippage and delay

The portfolio at a glance: initial, target and current positions for every security.

Trade Monitor portfolio table: initial, target and current positions, price and notional for futures and ETFs by strategy, one crude oil order still filling, gross and net exposure

The order blotter: every fill with broker, algo, average price, status and commission.

Trade Monitor order blotter: the day's orders with side, quantity, broker, algo, limit and average price, fill progress, status and commission

Features:

  • Automated front, middle and back office: live execution without building the infrastructure.
  • Live performance continuously compared against the simulation, with slippage and drift analysis.
  • Risk management and position monitoring across strategies and accounts.
  • Review trading activity from anywhere (phone, tablet, desktop, etc).

Reporting

PnL analysis: realised, live and simulated results compared day by day, with cumulative differences tracked over time. Anomalies can be investigated down to the level of each security.

Reports, PnL analysis: cumulative difference between realised and simulated PnL year to date inside a tolerance band, with one step explained as a late fill, above the daily table of realised, live and simulated PnL and their differences

Cost analysis: commissions, slippage and delays measured in basis points, live versus simulated, by instrument type and down to each security. Over time, this allows building increasingly accurate cost estimates for every security.

Reports, cost analysis: total cost per day in basis points over the last month, live versus simulated, above the year-to-date cost table by instrument type and the most expensive securities

Features:

  • Daily and monthly reports for the COO, the valuation team and investors, in your own format.
  • Daily comparison of realised, live and simulated results.
  • Cost attribution in basis points, by instrument type and down to each security.
  • Date-range filters and one-click export on every table.
  • Custom reporting is also available upon request.

Operations

Daily reconciliation of cash, positions and trades across broker statements, the administrator and the internal book, every break explained down to the security (example report).

Example daily reconciliation report: cash, positions, trades and fees across broker statements, the internal book and the administrator, a one-line summary for the valuation team and each break explained

Full manual control when needed: re-run, edit or force any step directly from the dashboard.

Scheduler for one trading day: data snapshot, portfolio generation, reconciliation, execution and reporting jobs with status and duration, one job expanded with its live log and the manual menu: re-run, edit and re-run, set as OK, force start

Automated checks across execution, processes, system and real-time data, with every breach flagged immediately.

Checks dashboard: 23 automated checks grouped into execution, processes, system and real-time data, with one breach and one warning flagged

Features:

  • Continuous trade monitoring with automated alerts, so strategies are watched after they go live.
  • Daily reconciliation of cash, positions and trades across broker statements, the administrator and the internal book, every break explained down to the security.
  • Compliance controls and logging built into the trading workflow.
  • Runs inside your cloud, on your data and licences, with no client data on our servers; or fully managed on ours in a dedicated, isolated environment per client.

Backtesting

Every backtest dissected: equity curves by sector, long/short, instrument type and more.

Backtest cumulative return by sector from 2016 to 2025, six curves, with return, turnover, cost, hit rate and maximum drawdown for each sector

Correlations across strategies, to build portfolios that diversify rather than overlap.

Correlation matrix of ten strategies on a green to red scale, with average pairwise correlation, the most correlated pair, the diversification ratio and the most diversifying pairs

Features:

  • Realistic backtesting: costs, slippage and liquidity modelled so results survive live trading.
  • Parallel simulation on the cloud or in calc-farms, on daily/snapshot and minute data.
  • Interface in Python, implementation in C++.
  • Portfolio construction and risk-analysis tools.
  • Proprietary reports to analyze trading strategies:
    • Sensitivity analysis
    • Costs analysis
    • Parameters & overfitting analysis
    • Analysis by long/short, instrument type, sector, etc.

AI Strategy Lab

The lab at work: the agent forms a hypothesis, edits the code, backtests it with realistic costs and validates it on a holdout it has never seen.

AI Strategy Lab overnight session: the agent states a hypothesis, edits the signal code, backtests with realistic costs, validates on a holdout it has never seen and promotes the candidate, next to the overnight queue of passed, failed and running candidates

Each candidate ends in a research note written by the agent, with its own caveats, ready for human review.

Research note written by the agent for candidate 12: strategy summary, train and holdout results with an equity chart, the agent's caveats, checks passed, and a recommendation for human review with approve and reject buttons

Features:

  • AI agents that design, code, backtest and refine systematic strategies, from idea to tested candidate.
  • Proprietary research methods developed in-house by a team of experts in statistics, finance and machine learning, including patented strategy-evaluation technology (US patent 12,271,950).
  • Every candidate is validated by the same realistic backtesting engine used for live strategies.
  • The IP of every strategy developed with the lab is owned by the client.

Data Cleaning

We reconcile your data sources with our proprietary algorithms, or simply provide our own clean data. The sources shown are indicative.

Five data sources feeding the reconciler, which outputs clean data

Features:

  • Automated error detection and correction, with tools for manual review.
  • Data distributed as analytics via cloud.
  • Supports stocks, ETFs, futures, options, and currencies.
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