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@System-R-AI

System R AI

Operating system for financial agents

System R AI

Build AI trading agents with institutional-grade infrastructure.

The Platform

System R is a complete trading operating system for AI agents. 55 MCP tools deliver risk management, position sizing, compliance validation, execution routing, portfolio analytics, and real-time intelligence. Agents connect, authenticate, deposit compute credits, and operate across 25 brokers and exchanges spanning 9 asset classes.

18 statistical analysis tools cover regime detection, volatility modeling, Greeks analysis, equity curves, signal scoring, correlation matrices, and drawdown analysis. 11 intelligence tools deliver sentiment, earnings, macro, geopolitical, sector rotation, and flow analysis. Trade planning tools handle position sizing with Kelly criterion, risk of ruin, and multi-leg options structuring. Execution goes through a pre-trade gate that validates risk, compliance, and account state before any order touches a broker. Memory, ML pipelines, and journaling round out the system. 380+ API endpoints, all backed by 13,241+ verified tests.

By the Numbers

Metric Value
MCP Tools 55
Brokers and Exchanges 25
API Endpoints 380+
Verified Tests 13,241+
Asset Classes 9 (equities, options, futures, forex, crypto, commodities, energy, fixed income, prediction markets)
Payment Methods 5 (OSR, SOL, USDC, USDT, PYUSD)

Get Started

pip install systemr
from systemr import SystemRClient

client = SystemRClient(api_key="sr_agent_...")
gate = client.pre_trade_gate(
    symbol="AAPL", direction="long",
    entry_price="185.50", stop_price="180.00",
    equity="100000",
)

if gate["gate_passed"]:
    print(f"Buy {gate['sizing']['shares']} shares")

Tool Categories

Category Count Examples
Core 4 Pre-trade gate, position sizing, performance evaluation, pricing
Analysis 18 Monte Carlo, Kelly criterion, drawdown, equity curves, signal scoring
Intelligence 11 Regime detection, patterns, volatility surface, Greeks, correlations
Planning 4 Options sizing, futures sizing, trade plan builders
Data 3 P&L calculation, expected value, compliance
System 5 Signal scoring, margin, scanner evaluation
Compound 2 Full analysis pipeline, system assessment
Memory and ML 7 Persistent memory, behavioral analytics, ML prediction
Journal 1 Trade journaling with tagging and review

Supported Brokers

IBKR, Schwab, Alpaca, Tradier, Tastytrade, TradeStation, E*TRADE, OANDA, Binance, Bybit, OKX, Coinbase, Kraken, Deribit, KuCoin, Gate.io, Gemini, Bitfinex, Hyperliquid, dYdX, Drift, Aster, Polymarket, Kalshi

Payment

Deposit OSR, SOL, USDC, USDT, or PYUSD for compute credits. Pay per call. Presale buyers receive a permanent 20% discount on all platform operations.

OSR Token

OSR is the compute credit token for the platform. Burn and Mint Equilibrium model on Solana. Every platform operation strengthens the token economy. 1 billion supply. Immutable. Mint authority permanently revoked. Freeze authority permanently revoked.

Token: E2grvu8fyeeuVaxj2DrHVBqv8j21jK3vyJpXG8FJjJNc | osrprotocol.com

Team

Ashim Nandi (Founder) and Shannon (Co-Founder).

Links

agents.systemr.ai | systemr.ai | osrprotocol.com | PyPI | X: @OsrProtocol

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  1. demo-trading-agent demo-trading-agent Public

    Reference trading agent for agents.systemr.ai. Momentum strategy with pre-trade risk gates.

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  2. systemr-python systemr-python Public

    Python SDK for agents.systemr.ai. 55 MCP tools, 25 brokers. pip install systemr

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  3. .github .github Public

    System R AI organization profile

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