Research agenda
Frame the thesis, time horizon, and evidence that could confirm or challenge it.
02RESEARCH
Investment strategies
Research first. Exposure second.
A research-led way to evaluate digital assets, market structure, and portfolio construction.
NORA / CAPITAL FRAMEWORK01 / 03
Research agenda
Frame the thesis, time horizon, and evidence that could confirm or challenge it.
RESEARCH / THE FRAMEWORK
Research first. Exposure second.
Compare sizing, concentration, correlation, liquidity, fees, and downside scenarios.
Portfolio construction
Compare sizing, concentration, correlation, liquidity, fees, and downside scenarios.
Ongoing review
Set monitoring points and a process for thesis changes, rebalancing, and exit decisions.
EXPLORE / 06
Six capabilities. A clearer investment process.
Choose a route to explore its mechanics, operating priorities and trade-offs.
Trend and multi-factor research
AI quantitative trading
Convert an investment thesis into entry, sizing, and exit rules.
01Research inputs
02Evaluate mechanics
03Execute & review
How it works
Define the market universe, validate signals after costs, then review position limits before execution.
Key consideration
Discuss this routeRegime changes can invalidate historical patterns.
YOUR JOURNEY
A clear next step. At every stage.
01
Define objectives
Document your horizon, withdrawals, loss tolerance and involvement. Establish suitability before choosing a route.
DECISION CHECKLIST
Look beyond returns. Understand your way out.
| Route | Source of value | Execution & exit priorities |
|---|---|---|
| AI quantitative trading | Trend and multi-factor research | Regime changes can invalidate historical patterns. |
| Prediction markets | Event-driven opportunities | Resolution disputes and thin liquidity can affect exits. |
| On-chain copy trading | Address and transaction research | Your fill price and timing can differ from the source wallet. |
| Exchange copy trading | Trader and portfolio selection | A trader’s historical record does not predict future results. |
| AI Quant Lab | Hypothesis to validation | Overfitting can make a backtest look stronger than live trading. |
| TradingView signals | Signal validation and routing | Alerts can be delayed or repeated; execution requires safeguards. |
RISK IS PART OF THE PRODUCT
Past performance does not predict future results. Digital assets involve substantial volatility, liquidity, technology, and regulatory risks.
10QUESTIONS, ANSWERED
Know the mechanics before you move.
Terms, access, and product availability depend on your jurisdiction and account eligibility.
When in doubt, verify the governing terms.
Start with the problem: strategy research belongs in AI Quant or the Lab; event probabilities in prediction markets; following existing activity in copy trading; external alerts in TradingView integration. Then compare your time commitment, data access and execution constraints.
A useful report identifies the dataset, period, benchmark, fees, slippage and drawdown. It separates training from out-of-sample evaluation and explains sensitivity to changing parameters. Assess these together rather than comparing return figures alone.
Not necessarily. The workflow should validate the signal, check permissions and available exposure, and reject duplicates or expired instructions before execution. Monitoring must distinguish an alert from an accepted order and an actual fill.
Yes, as a portfolio design question. Review shared assets, correlated exposures, leverage and total loss limits before combining approaches. Two different strategy names can still create the same underlying risk.
11CONTACT NORA
Let’s discuss your objectives.
Tell us what you are evaluating and our team can outline the relevant framework and next steps.