調査方針
仮説、期間、検証・反証となる根拠を整理します。
NORA / CAPITAL FRAMEWORK01 / 03
調査方針
仮説、期間、検証・反証となる根拠を整理します。
リサーチ / THE FRAMEWORK
リサーチを先に。投資判断はその後に。
配分、集中度、相関、流動性、費用、下落シナリオを比較。
ポートフォリオ設計
配分、集中度、相関、流動性、費用、下落シナリオを比較。
継続レビュー
モニタリング、再配分、方針変更、退出を定義します。
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. |
リスク情報
過去の実績は将来の成果を示すものではありません。価格、流動性、技術、規制リスクがあります。
10よくあるご質問
仕組みを理解してから、次の一歩へ。
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
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