Millisecond response target
Shorten the critical processing path for the ever-changing market and allow important changes to enter decision-making horizons faster.
Start with the event definition, determination source and settlement time, and then compare the implied probability, order depth and cost. Cross-platform spreads, address following or market making ideas must go through contract matching and risk inspection.
Event rules → Probability changes → Trading judgment
Confirm settlement basis and time
The same event may have similar titles but different actual settlement conditions, time zones, and result sets. The price seems to represent probability, but whether the transaction can actually be completed depends on the depth of the market, fees, remaining time and dispute risk.
Standardize event definitions, judgment sources and settlement times to avoid mistaking different contracts for the same opportunity.
Let the opportunity go through contract matching and execution verification before entering into strategic judgment.
The key to prediction market trading is not just looking at prices, but also looking at event definition, market opening and settlement.
Different contracts on the same subject may adopt different deadlines and criteria.
Events change quickly, and handicap judgments must be timely. It is updated hierarchically by event, contract and market. First confirm the settlement caliber and tradable price, and then evaluate whether the signal is still valid.
Shorten the critical processing path for the ever-changing market and allow important changes to enter decision-making horizons faster.
Data, AI, strategy, risk control and execution each perform their own duties, complex tasks are processed in parallel, and abnormal links are clear and can be located.
Use queues, throttling, and real-time monitoring to handle high-frequency updates and traffic peaks to keep the experience smooth.
Minimal privileges, sensitive information protection, operational auditing and exception suspension are implemented throughout critical links.
With millisecond-level response as the design goal, the critical path of data access, signal processing and risk verification is optimized; each processing node retains status to facilitate locating delays and anomalies.
Each step retains time and processing status, making it easy to identify where delays occur.
Optimize critical links with millisecond-level response as the goal, and continuously test latency, stability, and security performance through monitoring, stress testing, and auditing. Specific indicators are based on the actual operating environment and public measurement caliber.
Organize core capabilities around actual decision-making links so that information, strategies and risk judgments have their own basis.
Record event definitions, time zones, deadlines, and judgment sources item by item so that markets with similar titles can be accurately distinguished.
Analyze the price based on the buying and selling quotation, tradable depth, fees and queuing conditions to avoid taking the bid price as the transaction price.
The same theme, interrelated results and expiry dates are combined to calculate the risk exposure.
Each direction requires verification of data, tradable prices, and exit conditions. Understand applicable conditions, transaction costs, and failure boundaries through specific strategy scenarios.
Study the positions and transactions of public addresses, and only consider copying when price, time and risk conditions permit.
Observe the probability changes and handicap reactions in a short period of time.
Compare cross-market contracts with consistent event definitions and settlement criteria.
Verify whether the results are mutually exclusive and exhaustive, and then calculate the combined cost.
Evaluate pending order spreads, queue positions and deal probabilities.
Track and determine progress, remaining time and price convergence.
At the same time, observe the depth, order cancellation and true transaction direction.
Design inventory caps, quote offsets and order cancellation rules.
Product capabilities need to be supported by a transparent verification process. We will test the effect according to the market characteristics of this product line, rather than just showing a beautiful revenue picture.
Check the result caliber, time zone, settlement source and invalid market rules one by one.
Replay the historical order book, taking into account bid-ask spread, depth, fees and remaining time.
Compare predicted probabilities to outcome frequencies and observe calibration deviations for different event classes.
From data to conclusions, the research caliber is disclosed layer by layer. Shown here is the backtesting workflow; the interpretation of results also focuses on retracements, costs and sample intervals.
Check markets, trading pairs, start and end dates, timestamps, and missing data. Let the research object be clearly defined first.
When evaluating strategy performance, please pay attention to the sample range, transaction costs, maximum drawdown and out-of-sample results; the complete caliber can better illustrate the quality of the strategy than a single return number.
From strategy research, AI data to transaction engineering and risk operations, four types of professional capabilities jointly support the continuous iteration of products.
Define strategy assumptions, verification methods, backtest calibers and failure conditions.
Responsible for data quality, model evaluation, feature management and drift monitoring.
Responsible for market conditions, order status, connection stability and fault recovery.
Define permission boundaries, exception handling, information disclosure and user support processes.
Both quantification and follow-up may lead to losses. The following check items are used to illustrate the direction of risk control in product design.
Events, results, time zones and billing sources need to be aligned on an item-by-item basis.
Factor in fees, slippage, depth and partial fills.
Distinguish between market-implied probabilities and model estimates.
Consider settlement delays, maturity distribution and portfolio concentration.
Follow the principle of least privilege when connecting accounts, keep API keys, private keys and mnemonics properly, and check the authorization scope regularly.
Before officially using the product, understand the capabilities, limitations, and risks.
For supported prediction markets, account connection methods and available functions, please refer to the in-product display and official instructions.
First understand the applicable scenarios and risk boundaries, and then start using Nora from the official entrance; if you need team access, you can contact the cooperation team.