TwoFiftyTwo
Changelog
ChangelogContact us

The AI Investment Analyst for Financial Markets

TwoFiftyTwo

Selected examples

you@example.com

User

Show me the historical term structure (front month minus back month spread) for CSI 300 and CSI 500 index futures from 2020 to present, overlay the implied dividend yield curve and compare to realized dividends. Highlight periods where the futures traded at a premium vs discount of more than 1% annualised
Planning
Market data retrieval: CSI 300 / CSI 500 spot, continuous front & next-month futures, funding, trailing dividend yields
Python sandbox: Calendar spreads, DTE-cleaned annualized basis, implied dividend from basis and funding
Charts: Spread, basis with ±1% premium/discount shading, implied vs realized yields, seasonality
Final summary Tables, regime notes, CSV export

Final response

CSI 300 & CSI 500 index futures term structure (2020–2026)

Methodology: 1,509 trading days (2 Jan 2020 – 27 Mar 2026) from connected exchange and market data feeds. Series include official CSI 300 and CSI 500 spot indices, continuous front- and next-month futures on each index, 3M funding as a risk-free proxy, and trailing 12-month realized dividend yields. Annualized basis: (F/S − 1) × 365/DTE with DTE ≤ 3 filtered to reduce expiry noise.

1. Calendar spread: front month − back month

Large-cap (CSI 300) vs mid-cap (CSI 500) calendar spreads — green = contango, red = backwardation.

CSI 300 and CSI 500 calendar spreads

Both legs skew toward backwardation (front above back) with sizeable variation. The CSI 500 contract is more volatile with wider negative spikes, consistent with heavier roll pressure from index hedgers.

2. Annualized basis with premium / discount highlighting

Front-month annualized basis (%) with shading where premium or discount exceeds ±1% annualized.

Annualized basis with premium and discount highlighting

MetricCSI 300CSI 500
Mean annualized basis−4.7%−9.2%
Median annualized basis−3.4%−7.9%
Days in premium > 1%27.5%14.5%
Days in discount > 1%62.4%79.3%

CSI 500 trades at roughly double the discount of CSI 300 — often linked to stronger hedging demand in the small/mid-cap sleeve.

3. Implied vs realized dividend yield

Implied dividend yield (from back-month basis + funding) vs trailing 12-month realized dividend yield.

MetricCSI 300CSI 500
Mean implied div yield5.6%9.9%
Mean realized div yield2.6%1.6%
Excess (“hedging premium”)+3.0%+8.3%

The gap is mostly structural hedging pressure, not dividend mis-estimation — especially the +8.3% wedge on the mid-cap leg.

4. Seasonal pattern

Monthly pattern of annualized basis; shading marks dividend-heavy season (May–Aug).

Monthly seasonal pattern of annualized basis

MonthCSI 300 mean basisCSI 500 mean basis
Jan+0.7%−3.8%
May−8.6%−14.2%
Jun−13.1%−13.6%
Jul−10.0%−10.7%
Dec+0.8%−3.7%

CSI 300 is weakest in June (dividend season); CSI 500 stays discounted for much of the year.

5. Year-by-year summary

YearCSI 300 basis (%)CSI 500 basis (%)300 prem >1%300 disc >1%500 prem >1%500 disc >1%
2020−9.4−17.413.8%80.5%5.1%93.3%
2021−6.3−10.115.7%75.1%9.6%87.8%
2022−4.1−6.133.0%53.1%27.3%64.4%
2023+1.1−2.566.5%25.3%25.8%58.2%
2024−2.5−6.628.6%60.3%10.6%82.9%
2025−7.1−14.18.2%81.5%3.1%94.9%
2026 YTD−3.9−2.626.1%54.3%39.1%52.2%

2023 stands out: CSI 300 mean basis turned positive with most days above +1% premium — often tied to lighter structured-product hedging flows, easier position limits, and more speculative long participation. Discounts returned in 2024–2025 as hedging activity picked up again.

Key takeaways

  • CSI 500 > CSI 300 discount (~2×): structural hedging in small/mid-cap futures.
  • Implied vs realized gap is largely a basis / short-hedging premium, not dividend forecasts alone.
  • Seasonality: basis widens May–Aug (June trough for CSI 300), narrower Q4/Q1.
  • Regime shift: 2023 CSI 300 premium episode was temporary; 2025–26 shows re-widened discounts, especially on CSI 500.
Use '/' to access your saved prompts.
* Demo component for illustration purposes only. Not indicative of actual product.

Core Capabilities

Quantitative analysis on live market data, using natural language

TwoFiftyTwo enables independent quantitative analysis directly from natural language prompts. Powered by high-quality financial data from our integrated data providers, our platform allows you to seamlessly analyze markets across FX, Rates, Credit, Commodities, ETFs, and Equities—without any setup.

Quantitative analysis
OLS: regress Core PCE YoY (t+3) on energy benchmark YoY. Return the forward point estimate with intervals vs the latest actual.

Planning model specification and validating inputs…

Quantitative analysis
OLS: regress Core PCE YoY (t+3) on energy benchmark YoY. Return the forward point estimate with intervals vs the latest actual.

Planning model specification and validating inputs…

Quantitative analysis on live market data, using natural language

TwoFiftyTwo enables independent quantitative analysis directly from natural language prompts. Powered by high-quality financial data from our integrated data providers, our platform allows you to seamlessly analyze markets across FX, Rates, Credit, Commodities, ETFs, and Equities—without any setup.

Document intelligence: Separate Signal from Noise

TwoFiftyTwo automatically extracts all trade ideas and economic calls from research emails and PDFs into a user friendly dashboard. An agent then evaluates each analyst's calls over time, tracking their hits and misses along with the criteria used for each evaluation.

Trade details

Mira Okonkwo · JP Meridian

“Buy 1m USDJPY 149 calls at ~9.75 vols.”

Monitoring window

Recommendation

Sep 10, 2026

Monitoring end

Oct 10, 2026

Hit criteria

  • Structure — Long 1M USDJPY vanilla call, strike 149, at ~9.75% implied vol.
  • Premium — Black-Scholes premium ~0.8441 JPY/USD; breakeven 149.84 at expiry.
  • Hit — USDJPY spot at expiry above breakeven 149.84.
  • Miss — Expiry spot at or below 149 (expires worthless), or between 149 and 149.84 (ITM but below breakeven).

Verification agent

2026-09-10 · Entry

USDJPY spot 147.47, 1M USD deposit 4.215%, 1M JPY deposit 0.500% → Black-Scholes premium ~0.8441 JPY/USD; breakeven 149.84.

2026-10-10 · Final

USDJPY 151.18 (high 153.27) → intrinsic 2.18 JPY/USD, net P&L +1.34 JPY/USD vs premium paid.

Hit

Expiry spot above breakeven — scored as a hit.

Trade details

Mira Okonkwo · JP Meridian

“Buy 1m USDJPY 149 calls at ~9.75 vols.”

Monitoring window

Recommendation

Sep 10, 2026

Monitoring end

Oct 10, 2026

Hit criteria

  • Structure — Long 1M USDJPY vanilla call, strike 149, at ~9.75% implied vol.
  • Premium — Black-Scholes premium ~0.8441 JPY/USD; breakeven 149.84 at expiry.
  • Hit — USDJPY spot at expiry above breakeven 149.84.
  • Miss — Expiry spot at or below 149 (expires worthless), or between 149 and 149.84 (ITM but below breakeven).

Verification agent

2026-09-10 · Entry

USDJPY spot 147.47, 1M USD deposit 4.215%, 1M JPY deposit 0.500% → Black-Scholes premium ~0.8441 JPY/USD; breakeven 149.84.

2026-10-10 · Final

USDJPY 151.18 (high 153.27) → intrinsic 2.18 JPY/USD, net P&L +1.34 JPY/USD vs premium paid.

Hit

Expiry spot above breakeven — scored as a hit.

Document intelligence: Separate Signal from Noise

TwoFiftyTwo automatically extracts all trade ideas and economic calls from research emails and PDFs into a user friendly dashboard. An agent then evaluates each analyst's calls over time, tracking their hits and misses along with the criteria used for each evaluation.

Trade details

Mira Okonkwo · JP Meridian

“Buy 1m USDJPY 149 calls at ~9.75 vols.”

Monitoring window

Recommendation

Sep 10, 2026

Monitoring end

Oct 10, 2026

Hit criteria

  • Structure — Long 1M USDJPY vanilla call, strike 149, at ~9.75% implied vol.
  • Premium — Black-Scholes premium ~0.8441 JPY/USD; breakeven 149.84 at expiry.
  • Hit — USDJPY spot at expiry above breakeven 149.84.
  • Miss — Expiry spot at or below 149 (expires worthless), or between 149 and 149.84 (ITM but below breakeven).

Verification agent

2026-09-10 · Entry

USDJPY spot 147.47, 1M USD deposit 4.215%, 1M JPY deposit 0.500% → Black-Scholes premium ~0.8441 JPY/USD; breakeven 149.84.

2026-10-10 · Final

USDJPY 151.18 (high 153.27) → intrinsic 2.18 JPY/USD, net P&L +1.34 JPY/USD vs premium paid.

Hit

Expiry spot above breakeven — scored as a hit.

Trade details

Mira Okonkwo · JP Meridian

“Buy 1m USDJPY 149 calls at ~9.75 vols.”

Monitoring window

Recommendation

Sep 10, 2026

Monitoring end

Oct 10, 2026

Hit criteria

  • Structure — Long 1M USDJPY vanilla call, strike 149, at ~9.75% implied vol.
  • Premium — Black-Scholes premium ~0.8441 JPY/USD; breakeven 149.84 at expiry.
  • Hit — USDJPY spot at expiry above breakeven 149.84.
  • Miss — Expiry spot at or below 149 (expires worthless), or between 149 and 149.84 (ITM but below breakeven).

Verification agent

2026-09-10 · Entry

USDJPY spot 147.47, 1M USD deposit 4.215%, 1M JPY deposit 0.500% → Black-Scholes premium ~0.8441 JPY/USD; breakeven 149.84.

2026-10-10 · Final

USDJPY 151.18 (high 153.27) → intrinsic 2.18 JPY/USD, net P&L +1.34 JPY/USD vs premium paid.

Hit

Expiry spot above breakeven — scored as a hit.

Market brief and technical alerts, delivered autonomously on your schedule

Schedule digestible morning wraps tailored to your specific markets. Set alert rules for the securities you trade based on levels, RSI, MACD and more. TwoFiftyTwo is powerful enough to build any automated agentic functions that fits into your schedule and workflow.

Morning brief

Summarize overnight moves & desk notes

Daily · 07:30

Daily wrap

Session recap from notes, flows, and major moves

Daily · 17:30

RSI(14) alert

USD/JPY · overbought

Hourly

MACD cross

S&P 500 · signal line cross

Hourly

Bollinger band

WTI · price below lower band

Hourly

Morning brief

Summarize overnight moves & desk notes

Daily · 07:30

Daily wrap

Session recap from notes, flows, and major moves

Daily · 17:30

RSI(14) alert

USD/JPY · overbought

Hourly

MACD cross

S&P 500 · signal line cross

Hourly

Bollinger band

WTI · price below lower band

Hourly

Market brief and technical alerts, delivered autonomously on your schedule

Schedule digestible morning wraps tailored to your specific markets. Set alert rules for the securities you trade based on levels, RSI, MACD and more. TwoFiftyTwo is powerful enough to build any automated agentic functions that fits into your schedule and workflow.

Synthesis from sell-side research, commentary and market color

Ask questions across your research corpus: our multimodal RAG system retrieves evidence from PDFs, charts, and email so answers cite the right pages and figures—not just keyword matches across disconnected snippets.

Query

“How are desks positioned on crude after the Iran ceasefire — fade the selloff or stay short?”

Multimodal retrieval

PDF

…Hormuz blockade removed ~11m bbl/d; back-end of the curve still underpricing structural supply risk…

0.93
Chart

Brent front-month vs. 12-month spread — backwardation collapsed post-ceasefire…

0.87
Email

Desk trimming long crude gamma; rotating into energy credit on SPR rebuild cycle…

0.81

Synthesis from sell-side research, commentary and market color

Ask questions across your research corpus: our multimodal RAG system retrieves evidence from PDFs, charts, and email so answers cite the right pages and figures—not just keyword matches across disconnected snippets.

Query

“How are desks positioned on crude after the Iran ceasefire — fade the selloff or stay short?”

Multimodal retrieval

PDF

…Hormuz blockade removed ~11m bbl/d; back-end of the curve still underpricing structural supply risk…

0.93
Chart

Brent front-month vs. 12-month spread — backwardation collapsed post-ceasefire…

0.87
Email

Desk trimming long crude gamma; rotating into energy credit on SPR rebuild cycle…

0.81

Underneath the experience

The supporting infrastructure that keeps every workflow grounded and current

Python sandbox

Run Python in a secure ephemeral sandbox. Prototype ideas, backtest signals, or build custom analytics without leaving the platform.

Python sandbox
1from market_sdk.historical import fetch_series
2from market_sdk.stats import pearson_r
3 
4# Pull 1Y of daily returns
5spx = fetch_series("SPX", "1Y")
6ust = fetch_series("US10Y", "1Y")
7 
8corr = pearson_r(spx.returns, ust.returns)
9print(f"Rolling corr: {corr:.3f}")
Output142 ms
Rolling corr: -0.412
Python sandbox
1from market_sdk.historical import fetch_series
2from market_sdk.stats import pearson_r
3 
4# Pull 1Y of daily returns
5spx = fetch_series("SPX", "1Y")
6ust = fetch_series("US10Y", "1Y")
7 
8corr = pearson_r(spx.returns, ust.returns)
9print(f"Rolling corr: {corr:.3f}")
Output142 ms
Rolling corr: -0.412

Python sandbox

Run Python in a secure ephemeral sandbox. Prototype ideas, backtest signals, or build custom analytics without leaving the platform.

Ontology & Skills

Instruments, curves, and relationships live in a shared finance model; agents invoke pre-built skills that stay consistent with that ontology.

SwapsCurve steepeningReceiveRatesCarry and slide
SwapsCurve steepeningReceiveRatesCarry and slide

Ontology & Skills

Instruments, curves, and relationships live in a shared finance model; agents invoke pre-built skills that stay consistent with that ontology.

Live market data integration

We work with market data providers to pipe live quotes and reference fields directly into your analysis and automations—so models always reflect the latest prints.

Live market data integration

We work with market data providers to pipe live quotes and reference fields directly into your analysis and automations—so models always reflect the latest prints.

Find out more→

Security

Enterprise-grade security

Your data is encrypted both in transit and at rest, utilizing the most robust encryption standards: AES-256 for storage and TLS 1.2/1.3 for secure communication.

We offer single-tenant deployment options to ensure your data remains isolated and meets your enterprise's specific security and compliance requirements.

→Visit our trust center

Zero data retention

With all model providers and vendors

Single tenant deployments

Isolated and geo-fenced infrastructure for your data

AICPA SOC for Service Organizations

SOC 2 Type 2

Certified

ISO 27001

In progress

Plans

Deployment options for institutions

Built for hedge funds, asset managers, broker-dealers, and any financial institution that deals with financial markets. Three ways to deploy TwoFiftyTwo, from a managed multi-tenant platform to a fully sovereign environment wired into your risk and trading infrastructure.

Multi-tenant

Shared infrastructure on our managed cloud. Fastest path to production.

  • Hosted on TwoFiftyTwo managed cloud
  • Access to state-of-the-art frontier models
  • Logical data isolation per fund
  • Full data export at any time

Best for

Firms looking for the fastest, most cost-effective deployment

Single-tenant

Dedicated, isolated environment with native connectivity into your risk stack.

  • Dedicated, fully managed VPC with geo-fenced infrastructure
  • Access to state-of-the-art frontier models
  • Native integrations with risk, OMS, and PMS
  • Custom data connectors

Best for

Firms that need an isolated environment with native risk or internal data integrations

Sovereign AI

Run TwoFiftyTwo on models you host yourself. Inference never leaves your environment.

  • Self-hosted models — no third-party model providers
  • Deployed and managed by us in your AWS, Azure, GCP, or on-prem
  • Native integrations with risk, OMS, and PMS
  • Air-gapped configurations

Best for

Firms with the strictest data and model sovereignty requirements

Data licenses come out of the box with every plan.
→Talk to us about the right deployment

Q&A

Common questions

TwoFiftyTwo works with a wide range of market data providers to cover FX, rates, credit, commodities, equities, and ETFs—including vol surfaces, forward curves, and interest rate derivatives—all queryable from a single conversation.
Research enters the platform through multiple channels: executive summaries extracted from emails, internal repositories connected via Microsoft SharePoint, PDFs attached to emails or uploaded directly, and any other documents your team shares. We extract images, trade ideas, and other metadata embedded alongside the text so the platform can reason over the full context of each document—not just keyword matches.
TwoFiftyTwo is purpose-built for capital markets. It connects directly to institutional market data providers, retrieves your team’s research and desk color, and reasons across structured and unstructured data in a single workflow. A general-purpose chatbot has none of that context—and can’t ground its answers in real-time market data or the research your desk produced last week.
We offer single-tenant deployment so your environment stays isolated, with options aligned to your security and compliance requirements. For encryption and trust practices, visit our trust center.
Each seat comes with a monthly subscription that includes a credit allocation. Credits are consumed by chat messages, document processing, email analysis, and other platform activity based on actual usage. Enterprise plans support multiple seats with per-user allocations and pooled overages.Contact us and we'll scope a plan around your team size and workflow.

Get Started

Unleash the power of AI for your investments

TwoFiftyTwo
Privacy Policy|TwoFiftyTwo 2026