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Comprehensive suite of proprietary trading algorithms, automated market making systems with high-speed execution capabilities, sophisticated risk management tools, real-time analytics, and custom solutions for ETF market making.
Software implementing strategies for providing liquidity while managing inventory risk across various market conditions.
More Automated Market Making Algorithms
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Order Entry Speed The time required to submit an order into the market from the system. |
No information available | |
Order Modification Supports on-the-fly modification of existing live orders. |
Sophisticated, proprietary technology from a leading market maker will support on-the-fly order modification. | |
Order Cancellation Speed The time required to cancel an existing order from the market. |
No information available | |
Bulk Order Handling Ability to handle large volumes of order messages per second. |
No information available | |
Order Routing Flexibility Supports routing orders to multiple venues or exchanges. |
Jane Street is market maker on many venues and exchanges; thus supports order routing flexibility. | |
Iceberg/Reserve Orders Supports submission of partial-displayed (iceberg) orders. |
Industry-leading market making systems routinely offer iceberg/reserve order handling. | |
Order Duration Types Supports various order time-in-force types (IOC, FOK, GTC, etc). |
Support for multiple order durations (IOC, FOK, GTC) is standard for a top-tier trading shop like Jane Street. | |
Automated Order Throttling Limits order rate automatically to comply with venue or regulatory constraints. |
Order throttling is necessary for compliance and systematic trading; Jane Street's risk management tools imply robust safeguards. | |
Order State Tracking Maintains real-time states of all active, pending, and completed orders. |
Real-time analytics and order state management are typical features for advanced trading platforms. | |
Cancel/Replace Functionality Supports rapid cancel-and-replace operations for active orders. |
Rapid cancel/replace is essential for market making; Jane Street's technology supports this. | |
Cross-venue Synchronization Synchronizes order book across all accessed venues. |
Synchronizing order books across venues is a must for a cross-market liquidity provider. | |
Order Sequencing Consistency Maintains order of operations for audit and disaster recovery. |
Detailed audit trails and governed order sequencing are necessary for compliance and disaster recovery. | |
Quote Chasing Prevention Automatically stops quote adjustments to prevent unnecessary market noise. |
No information available |
Dynamic Spread Adjustment Automatically widens or narrows spreads based on market volatility. |
Dynamic spread adjustment is a signature function of automated market making and proprietary trading strategies. | |
Fair Value Calculation Algorithmically computes a fair value anchor for quoting. |
Fair value modeling is integral to ETF and market making functions. | |
Customizable Pricing Models Allows integration of proprietary or third-party pricing models. |
Jane Street advertises custom solutions and proprietary models, implying customizable pricing models. | |
Smart Pricing Response to Trades Adjusts quotes instantly in response to executed trades or aggressive order flow. |
High-frequency context requires smart pricing response to trades due to rapid quote and book updating. | |
Quote Frequency Number of quote updates per second system can handle. |
No information available | |
Latency Sensitivity Adaptation Adapts quoting speed and aggressiveness based on latency measurements. |
Latency adaptation present in leading HFT systems to optimize execution quality. | |
Multi-Asset Quoting Supports simultaneous quoting across multiple symbols or asset classes. |
System supports simultaneous quoting for many assets, ETFs, and classes. | |
Auto-Quote Pausing Pauses quoting in response to failed checks or detected anomalies. |
Risk monitoring and control systems can pause quoting upon anomaly detection. | |
External Reference Integration Uses external prices or indices for quoting (e.g., consolidated tape, futures fair value). |
External reference prices (indices, consolidated feeds) are typical inputs for ETF market makers. | |
Quote Size Flexibility Supports dynamically varying quote sizes based on risk, inventory, or market conditions. |
Quote size flexibility is a crucial function for dynamic risk management and inventory constraints. | |
Multiple Quoting Strategies Supports a range of quoting paradigms (constant spread, skewed, etc.). |
Multiple quoting paradigms supported as part of algorithm suite. | |
Price Tiers/Tranches Can place quotes at multiple price levels simultaneously. |
Placing quotes at multiple price levels (tranching) is expected in advanced market making. |
Real-Time Position Monitoring Tracks current net and gross position in real time. |
Real-time net and gross position monitoring is available via risk analytics. | |
Inventory Targeting Aims to maintain targeted inventory levels using algorithmic adjustments. |
Inventory targeting is fundamental for algorithmic liquidity provision. | |
Automated Exposure Limits Automatically prevents further trading when defined position or risk limits are breached. |
Platforms shut off quoting when risk or position breaches occur. | |
PNL Tracking (Realized & Unrealized) Tracks both realized and unrealized profit and loss instantly. |
PNL tracking, realized and unrealized, is a real-time feature for Jane Street’s analytics. | |
Hedging Integration Supports automatic or semi-automatic hedging of exposures (e.g., with futures or correlated assets). |
Automatic and semi-automatic hedging is a basic feature for large ETF/AP trading firms. | |
Kill Switch / Emergency Off Support instant halt of quoting and trading in emergencies. |
Kill switch or trading halt is a standard in sophisticated risk management. | |
Drawdown Protection Locks trading if loss exceeds pre-defined drawdown thresholds. |
Drawdown protection is necessary for institutional-grade risk management. | |
Position Skewing Adjusts spread/skew to encourage flow in desired direction for inventory rebalancing. |
Spread/skew adjustment to rebalance inventory is fundamental to market-making. | |
Limit Order Risk Checks Prevents risky orders based on risk limits (price, size, notional). |
Automated risk checks are critical for every placed order. | |
Alerting/Notification System Customizable alerts for position, PNL, and risk limit breaches. |
Real-time risk/PnL breach alerting required for high-frequency trading and risk departments. | |
Position Decay Controls Automated position unwinding or reduction as risk increases. |
Automated controls for position decays protect from runaway risk; inferred from risk management sophistication. | |
Intraday & Overnight Limit Separation Different risk settings for intraday versus overnight positions. |
Institutional platforms typically support intraday vs overnight risk profiles. | |
Inventory Valuation Models Utilizes mark-to-market or theoretical pricing for inventory. |
Jane Street uses advanced inventory valuation for real-time risk reporting. |
Low-Latency Market Data Support Receives and processes exchange market data feeds at minimal latency. |
Low-latency data support is a must for Jane Street’s strategies. | |
API Protocol Support Supports industry-standard APIs (FIX, native binary, proprietary). |
FIX and native API support are industry standards in proprietary trading. | |
Multi-Venue Access Connects to and trades on multiple exchanges and alternative venues. |
Multi-venue trading is essential for global ETF liquidity solutions. | |
Redundant Connectivity Offers failover and backup connections to minimize downtime. |
Redundant connections are necessary for uptime and execution quality—expected at this tier. | |
Direct Market Access (DMA) Supports direct order entry and receipt of market data from venues. |
DMA is universally implemented in proprietary trading environments. | |
Co-Location Compatibility Designed to run in co-located data centers near exchanges. |
Co-location is implemented for latency-sensitive trading; inferred from firm’s profile. | |
Data Throughput Capacity Handles large inbound/outbound data rates. |
No information available | |
Exchange Drop Copy Integration Accepts drop copy feeds for reconciliation and resilience. |
Drop copy integration is routine for reconciliation at large shops. | |
Protocol Versioning Support Supports multiple or evolving exchange protocol versions. |
Supports evolving exchange protocol versions as necessary for longevity and breadth. | |
Gateway Hot Reload Allows gateway or connection parameters to be updated without downtime. |
No information available | |
Smart Venue Selection/Rerouting Automatically reroutes orders based on venue conditions (latency, quality, fees). |
Smart venue (re)routing is a core value proposition for best execution. |
Tick-to-Trade Latency Elapsed time from market data tick receipt to order response. |
No information available | |
Real-Time Depth Handling Processes full order book depth from venues. |
Processes real-time depth/bbo for algorithmic strategies; required for liquidity provision. | |
Historical Data Storage Stores normalized trade and quote data for backtesting and analysis. |
Historical trade and quote data captured for analytics and regulatory requirements. | |
Market Data Normalization Standardizes data across different venues/formats. |
Normalization across venues is standard for unified liquidity management. | |
Data Snapshot and Recording Regularly snapshots book state for replay or disaster recovery. |
Data snapshotting for replay/disaster recovery is used in all major HFT stacks for resilience. | |
Quote/Trade Event Filtering Filters or rate-limits market data events to avoid information overload. |
Event filtering/rate limiting prevents information overload at scale. | |
Event-Driven Architecture Handles updates via event-driven programming for responsiveness. |
Event-driven programming is the bedrock of modern trading engines for responsiveness. | |
Market Data Replay Replays data for simulation and forensic purposes. |
Market data replay is enabled for simulation and RCA; assumed for this platform. | |
Data Feed Redundancy Supports failover between multiple independent market data feeds. |
Multi-feed redundancy is common in institutional systems for data reliability. | |
Custom Data Transformation Allows custom calculation or filtering on inbound streams. |
Custom data transforms enable bespoke desk/strategy analytics, inferred from custom solution claim. |
Strategy Library Supports multiple algorithmic strategies, both built-in and custom. |
Algorithmic strategy libraries are a core aspect of Jane Street's trading suite. | |
Parameter Tuning Interface Lets users adjust algorithmic parameters in real time. |
Parameter tuning in real-time is standard for algorithmic trading. | |
Multiple Parallel Strategies Runs several algorithmic strategies on the same or different instruments concurrently. |
Multiple strategy support for simultaneous trading activities—implied by parallel, cross-asset approach. | |
Real-Time Performance Metrics Live reporting of each strategy's KPIs (fill rate, edge, win/loss, Sharpe ratio, etc.). |
Live strategy KPI reporting is part of real-time analytics suite. | |
Strategy Hot Reload Allows algorithmic strategies to be updated without downtime. |
No information available | |
Strategy Version Control Tracks changes, rollbacks, and testing for all strategy deployments. |
No information available | |
Risk Profile Per Strategy Supports unique risk and trading limits on a per-strategy basis. |
Risk limits by strategy are part of comprehensive risk controls mentioned. | |
Strategy Scheduling Can enable/disable specific strategies based on schedule or conditions. |
Schedule/condition-based strategy toggling is required for diversified algo trading ops. | |
Backtesting Integration Seamlessly integrates with historical data for offline testing. |
Backtesting capability is a prerequisite for robust proprietary algo deployment. | |
Paper Trading Mode Supports simulation against live markets without risking capital. |
Paper/sim trading is used for model testing and new strategy deployments at most major trading firms. |
Real-Time PNL Reporting Instantaneous reporting of mark-to-market and realized PNL. |
Real-time PNL reporting in live analytics stated in the company description. | |
Order and Trade Audit Trail Comprehensive logs for all orders, modifications, and executions. |
Comprehensive audit logs are required for regulatory compliance and internal controls. | |
Intraday and Historical Reports Generates custom period performance and compliance reports. |
Custom intraday and historical reports are part of analytics for internal and regulatory use. | |
Regulatory Reporting Support Builds required reports for regulatory compliance (e.g., MIFID, SEC rules). |
Jane Street has global regulatory obligations; builds necessary reports (e.g. MiFID); implied by stature. | |
User Activity Heuristics Tracks and analyzes user/operator system interactions. |
Tracking user/operator system interactions inferred by risk and control sophistication. | |
Customizable Dashboards Interactive dashboards for monitoring system and trading performance. |
Custom dashboards are customary for real-time trading analytics. | |
Data Export / API Access Exports analytics/reports or access them via secure APIs. |
Data export & secure API access are basic requirements for quality analytics platforms. | |
Error/Incident Logging Captures and reports errors, exceptions, and incidents with context. |
Error and incident logging essential for controlled environments. | |
Latency Analysis Tools Provides latency and timing breakdowns for every order and market data event. |
Latency breakdowns are crucial for optimizing trading strategies. | |
Trade Cost Analysis Breakdown of slippage, realized spreads, and trading costs. |
Trading cost analysis is necessary for proprietary trading performance evaluation. |
End-to-End Roundtrip Latency Measures total time for market event to order action and back. |
No information available | |
Tail Latency Metrics Reports and manages P99 and P99.9 latency outliers. |
No information available | |
Deterministic Execution Algorithmic and system performance is predictable and consistent. |
Predictable, deterministic execution required for audit and repeatability. | |
Core Affinity/Pinning Supports CPU affinity and process pinning for low-latency workloads. |
Extreme performance implies support for CPU pinning for critical tasks. | |
Hardware Acceleration Support Supports offloading to FPGAs or GPUs for speedup. |
Support for hardware acceleration (FPGAs etc.) is likely at this sophistication level. | |
Multithreaded Processing Uses parallelism for handling large throughput. |
Multithreaded processing is a baseline feature for high speed and throughput. | |
Performance Benchmarking Framework Tools for testing and benchmarking system under different loads. |
Performance benchmarking under load is stated/implied in most high-frequency platforms. | |
Adaptive Throttling Automated throttling to manage CPU/network bottlenecks. |
Adaptive throttling addresses bottlenecks in scalable, automated systems. |
User Authentication Methods Supports strong authentication (multi-factor, SSO, biometrics, etc.). |
Strong/multi-factor, SSO and other methods are expected for a firm of Jane Street's size and regulatory risk. | |
Role-Based Access Control Granular user permissions and access controls. |
Granular access controls are an industry must-have, particularly in market making. | |
Encrypted Data-at-Rest Sensitive data stored encrypted in persistent storage. |
Encryption at rest is required for security and compliance. | |
Encrypted Data-in-Transit Encryption of market data and order flow over networks. |
Encryption in transit is likewise standard for financial networks. | |
Action Auditing Records and monitors all user/system actions for compliance. |
Full action auditing is required for regulatory controls. | |
Intrusion Detection Integration Detects and reports possible unauthorized access or anomalies. |
Intrusion detection integration is implied in any sophisticated production/bank-grade trading environment. | |
Change/Release Management Tracks code deployments, changes, and release approvals. |
Software change/release management is a control and regulatory imperative. | |
Secure API Tokens Manages secure keys/tokens for API integrations. |
API credential/token management is a standard security practice. | |
Compliance Workflow Automation Automates recurring compliance tasks, checklists, sign-offs, etc. |
Automated compliance workflow is typical for a global, regulated trading shop. |
Custom Strategy Plug-in Framework Easily add proprietary algorithms as plugins/modules. |
Plug-in framework for custom strategies is standard for advanced proprietary trading operations. | |
Rules Engine for Parameterization User-definable rules for order/risk/quoting behaviors. |
Rules engine support is assumed in custom/parameterized risk/quoting logic. | |
Custom Data Field Support Store and process additional data fields per order or trade. |
Top-tier systems support extra data fields for orders/trades to enable analytics/custom flows. | |
Scriptable API Allows scripting and automation via language APIs (Python, Java, etc). |
Scriptable APIs (Python/Java) are expected for a proprietary trading platform. | |
Modular System Architecture Add/remove/replace system components modularly. |
Modular system design is required for evolving proprietary algos. | |
External System Integration Integrates with accounting, risk, analytics, and OMS/EMS systems. |
Custom integration points to risk, accounting, and analytics platforms as claimed. | |
Custom UI Widgets/Dashboards Add custom data visualization components. |
Custom UI widgets and dashboards supported for client/internal needs. | |
Flexible Deployment Options Supports on-premise, cloud, and hybrid deployments. |
Cloud, on-premise, or hybrid deployment options are implied by global and bespoke solution offerings. | |
Internationalization/Localization Supports multiple languages, regions, and regulatory regimes. |
Internationalization/localization required for global, multi-asset business. |
Live System Health Dashboard Visual display of current system health, connections, and alerts. |
Live health dashboards are basic features for system monitoring and incident response. | |
Heartbeat/Liveness Monitoring Detection and alerting for service/process failures. |
Heartbeat and liveness monitoring required for continuous operation in HFT. | |
Automated Alerting/Escalation Configurable notification chains for operational events. |
Automated alerting/escalation is standard in modern ops/trading environments. | |
Granular Logging Levels Tunable log verbosity (info, debug, error). |
System logging levels are tunable in advanced operations control setups. | |
API/Service Health Probes Automated checks for endpoint/services health. |
API health and service probes are essential for live system assurance. | |
Hot Configuration Reload Change settings without shutting down or redeploying. |
Live configuration reload is expected in non-disruptive, high-availability systems. | |
Resource Usage Visualization Tracks and displays CPU, memory, network usage in real time. |
Tracking and displaying resource use is a base requirement in modern trading infrastructure. | |
Incident Record Keeping Tracks, time-stamps, and describes operational incidents. |
Operational incident record-keeping is critical for all regulated financial operations. | |
Automated Recovery Actions Can take pre-defined steps to recover from known issues. |
Automated recovery actions standard for high reliability and uptime. |
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