Platform

Allocations, Fees, and Reporting for Money Managers.

Deploy portfolio books, risk analytics, and investor reporting for hedge funds, CTAs, managed accounts, and model portfolios — with automated allocations, fee processing, and multi-venue execution on one platform.

Build Platform.

Obermindmean_reversion.py

import clr

import environment

import OberMind

from OberMind import DelegateStrategy

class PyStrategy():

@property

def Framework(self):

return self.delegateStrategy.framework

@property

def Instruments(self):

return self.delegateStrategy.Instruments

def OnStrategyStart(self):

self.AddInstrument("EUR/USD")

self.AddInstrument("GBP/USD")

def OnBar(self, instrument, bar):

# Mean-reversion signal on bar close

pass

# Deploy via Obermind Stream

strategy = PyStrategy(framework, "MeanReversion")

strategy.ExecutionProvider = "Obermind Stream"

▸ Backtest queued — 18 months tick data · Obermind Stream connected

Multi-Asset Trading

Trade FX, crypto, equities, and more from one platform.

FIX API

Session live

Connected

Connected venues24

CME Globex

Connected

✨

Binance

Connecting

✨

Kraken

Disconnected

✨

XTX

Connected

✨

Interactive Brokers

Connected

✨

Real-Time Market Data

Consume, store, and distribute tick to Level 2 depth with high-throughput aggregation and historical analytics.

EUR/USDLevel 2

1.0846 mid

SizeBidAskSize

380K1.08451.0847420K

920K1.08441.0848870K

1.5M1.08431.08491.6M

5.2M1.08421.08504.9M

8.8M1.08411.08519.1M

12M1.08401.085212M

28M1.08391.085326M

▸ 12 venues aggregated · 1ms latency

Measure and Manage Portfolios at Scale.

Features

Automated Allocations and Models
Strategy board
New workspace
How can we help you today?
Route liquidity
Review exposure
Open client portal
Percentage, lot, and unit allocation models with pre- and post-trade workflows for programs and strategies.
Fee and Performance Processing
Ticket, management, performance, and redemption fees automated across client books and strategies.
Research, Backtesting, and Simulation
Quant research, backtesting, and optimisation across multi-venue strategies with Obermind Quant.
Risk, P&L, and Regulatory Reporting
Real-time exposure, statements, and reporting for regulators, clients, and internal risk teams.