TARSMIND— Finance that earns for you

I

Three TARSMIND editions, one financial LLM

TARSMIND Open, Pro, and Max share the same finance-native MoE lineage — 671B total parameters with ~37B activated per token. Upgrade without rebuilding knowledge bases or signal pipelines.

edition · open

Open

TARSMIND Open — open-weight financial LLM builds for researchers, labs, and personal desks — distilled and full-weight paths for fine-tuning and secondary commercial use.

Open weights for research, fine-tune, and distillation experiments
Finance-native base for personal trading and quant workflows
University-ready for teaching, papers, and lab stacks
Clean upgrade path into Pro when you need live sync and private deploy

16GB+ GPUOpen weightsResearchFree commercial use

edition · pro

Pro

TARSMIND Pro — commercial financial LLM for research, trading, and mid-size institutions — private deploy, vertical fine-tune, and second-level live sync across six markets.

Private / VPC deployment with domain fine-tuning
Real-time multi-source feeds cleaned before they hit context
RAG for internal notes, filings, books, and research stores
Signal JSON / Protobuf for broker and OMS adapters

48GB+ / multi-GPUPrivateTrading desksSecond-level sync

edition · max

Max

TARSMIND Max — institutional flagship financial LLM: exclusive clusters, native 1M-token context, millisecond concurrency, and dedicated CSM for global asset platforms.

Custom continued pre-training and exclusive cluster fine-tuning
Cross-asset decision hub for multi-desk organizations
Compliance self-assess packs and restricted-language scans
Joint deploy support, including domestic AI accelerators

HBM cluster1M context671B MoEDedicated CSM

Same MoE brain

One TARSMIND finance-native LLM lineage — shared vocabulary for events, risk, factors, and allocation language.

Different load

Hardware, tenancy, and support scale with the desk — without rewriting how analysts ask TARSMIND questions.

Clean upgrades

TARSMIND Open →Pro →Max via conversion and API adaptation; RAG stores and signal pipelines stay intact.

II

What TARSMIND covers

Five load-bearing claims for the TARSMIND financial LLM — markets, model ladder, live data, ultra-long context, and cross-asset reasoning in one institutional stack. Each pillar is designed so research, risk, and execution desks share the same vocabulary.

01 · Markets

Six global markets

TARSMIND covers six major global markets — Stocks / Forex / Futures / Crypto / Funds / Bonds — with one finance-native reasoning layer instead of six disconnected tools.

Unified event language across cash, derivatives, and digital assets
Desk briefs that keep venue, timezone, and session context intact
Shared risk vocabulary from print reaction to allocation review

Full-asset coverage

02 · Models

Open foundation ladder

Built on multiple open-source foundation models so TARSMIND can scale from laptop research to institutional MoE serving without rewriting prompts or RAG stores.

7B open-source base for labs, teaching, and personal desks
34B vertical professional for trading and research workflows
Hundred-billion flagship MoE for enterprise concurrency and depth

7B · 34B · 100B+

03 · Data

Real-time data driven

Global market data + on-chain data + macro indicators stream into TARSMIND with 7×24 live integration — cleaned, aligned, and deduplicated before they hit context.

Exchange prints, wires, and API feeds fused in one pipeline
On-chain + CEX liquidity reads for digital-asset desks
Macro surprise routing with second-level Pro sync targets

7×24 live

04 · Context

Super-long context

TARSMIND Max supports 1M tokens — batch-parse hundreds of financial reports, contracts, and policy packs in one window without losing citation trails.

Earnings, 10-K / 10-Q, decks, and covenants in a single pass
Thesis compare across names with source anchors for compliance
Long research threads that stay coherent across multi-day sessions

1M tokens · Max

05 · Cross-asset

Cross-asset reasoning

TARSMIND’s multimodal reasoning engine links equity, FX, commodity, and crypto narratives — so desks see cross-asset impact before the next tick, not after the postmortem.

Equity–FX–rates impact narratives when macro prints land
Commodity and crypto overlays tied back to cash and futures books
Hedge framing and relative-value language ready for PM / risk review

Arbitrage · hedge · multi-board

III

Six global markets

One TARSMIND financial LLM across asset classes — each market keeps its own brief, factor language, and risk cues. Feeds are cleaned, aligned, and deduplicated before they enter the 1M-token context window, so desks get signal instead of raw noise.

EQ

Equities

Event interpretation, earnings-to-trade bridges, factor narratives, and peer comps compressed into desk-ready language for PMs and research.

Live print reaction with citation-backed thesis updates
Filing and deck compression into comparable briefs
Factor / peer screens that stay coherent across sessions

Live + filings

FX

Forex

Macro surprise routing, cross-pair hedge framing, and flow reads that stay coherent when prints land out of order across regions.

Cross-pair hedge language for spot, NDF, and options desks
Macro →FX transmission narratives in seconds
Session-aware briefs for Asia / London / NY handoffs

Macro desks

FU

Futures

Term structure stories, roll risk, and CTA-style signal framing tied back to cash and options overlays for curve traders.

Curve, basis, and roll risk narratives in one view
CTA / trend signal language linked to cash books
Position and margin stress language for risk review

Curve & roll

CR

Crypto

On-chain + CEX fusion, regime shift alerts, and liquidity narratives that respect venue fragmentation and funding cycles.

On-chain flow + CEX order-book fusion before context
Regime and liquidity alerts across major venues
Funding, basis, and cross-venue arb framing

Chain + CEX

FD

Funds

Allocation briefs, FOF screens, and manager-letter compression for committees that need signal — not PDF archaeology.

FOF / manager screens with risk and style tags
Letter →thesis extract with source anchors
Committee packs for CIO and allocator review

Allocation

BD

Bonds

Curve stories, credit events, and duration stress narratives for rates and credit desks sharing one TARSMIND brain.

Rates / credit event →curve impact in shared language
Duration and spread stress narratives for risk
Issuer and sector comps without leaving the desk thread

Rates & credit

IV

The TARSMIND stack

From conversational terminal to private cluster — a full-stack TARSMIND financial LLM surface, not a bolt-on chat API. Terminal, API, vault, and research copilots share one reasoning layer, so prompts, RAG stores, and signal schemas stay portable from Open to Max.

Surface A

Reasoning terminal

Desk reasoning UI grounded in live books, filings, and private RAG — TARSMIND answers cite what the desk actually owns, with role views for PM, analyst, and risk.

Session memory tuned for multi-day research threads
Citation-first responses for compliance review
Role views for PM, analyst, and risk
Live board context injected without drowning the prompt
Exportable brief threads into notes / wiki

Surface B

Financial LLM API

Signal JSON / Protobuf, FIX-ready hooks, and broker-friendly adapters — TARSMIND never custodies funds or fires final orders.

REST & WebSocket delivery
Confidence + rationale fields
Sandbox →prod promotion path
OMS / EMS adapter patterns

Surface C

Private clusters

VPC or air-gapped TARSMIND vaults with key custody, audit trails, and tenancy that matches your org chart.

Air-gap and hybrid modes
Prompt & retrieval logs
Domestic accelerator options
Per-desk tenancy and RBAC

Surface D

Research copilots

1M-token batch parse for decks, contracts, and policy packs — TARSMIND turns document mountains into structured, comparable briefs your committee can argue with.

Multi-doc compare across names and sectors
Export to notes / wiki / PDF with source anchors
Policy, filing, and covenant templates
Thesis diff across revisions and peers

One reasoning layer

Terminal questions, API signals, and research copilots all call the same TARSMIND financial LLM — no parallel brains to reconcile.

Portable knowledge

RAG stores, prompt packs, and signal schemas upgrade cleanly from Open →Pro →Max without rebuilding desk muscle memory.

Desk-safe outputs

Citations, confidence, and restricted-language scans travel with every answer — ready for compliance before they leave the room.

V

Who runs on TARSMIND

From individual developers to top asset managers — pick a TARSMIND edition that matches how far the financial LLM needs to travel.

Individual Traders

Open for learning curves; Pro when live signals and full-market context become daily muscle memory.

Open

Quant Developers

Factor mining, backtests, and API hooks — treat the model as a research engine, not a chat toy.

Pro

Research Teams

One-click reports, 1M context parse, and thesis compare across names without drowning in PDFs.

Pro

Hedge Funds

Multi-factor, CTA, and macro hedges with private Pro/Max tenancy and audit-ready trails.

Max

Asset Managers

Allocation language, FOF screens, and risk advisory briefs for committees and CIOs.

Max

Cross-border Groups

Arbitrage clusters, FX hedges, and multi-entity deploy with shared vocabulary across regions.

Max

Universities

Open weights for teaching, labs, and reproducible research on finance-native models.

All

VI

TARSMIND desk playbooks

Each panel is a TARSMIND financial LLM workflow — how desks move from print to research to signal without losing citation or risk language.

01

Live event desk

When prints and headlines land, narrative and risk have to move together.

Ingest surprise prints in seconds
Cross-asset impact narrative
Risk flag before the next tick

02

Research pipeline

Turn filing mountains into comparable theses your committee can argue with.

Batch-parse filings & decks
Compare theses across names
Export structured briefs

03

Signal →execution

We don’t custody funds — we hand clean payloads to the rails you already trust.

Standardized signal payloads
Broker / FIX adapters
Confirm & book trail

04

Rule intelligence

Keep advisory language and portfolios inside the lines regulators care about.

SEC / MiCA / CSRC-style scans
Restricted-keyword checks
Compliance self-assess packs

05

Desk onboarding

Pilot a pilot that proves latency, citation quality, and private RAG in weeks — not quarters.

Scoped data connectors
Success metrics agreed upfront
Edition upgrade path mapped

VII

The TARSMIND vault

Financial-grade custody of truth — TARSMIND never peeks, never misuses, never leaks. Private deploy, audit trails, and keys that stay on your side of the glass.

Private / VPC / air-gapped clusters with tenancy that matches your org chart
Full audit trails on prompts, retrieval, and export actions
Internal DB + RAG without data egress beyond your perimeter
Role-based access for PM, analyst, risk, and compliance
Encryption in transit & at rest; key custody options you control
Quality dashboards and anomaly alerts on live feed health

VIII

FAQ for TARSMIND desks

The questions teams ask before deploying the TARSMIND finance-native LLM.

Why not a general LLM?

TARSMIND is trained as a financial LLM on reports, earnings, macro, on-chain, and live market data — with real-time pipelines, multimodal reasoning, and up to 1M-token context. That beats generic chat on event reads, strategy language, and cross-asset reasoning.

How do you compare on scale?

TARSMIND benchmarks against DeepSeek-class MoE scale: 671B total parameters with ~37B activated per token, plus a 7B / 34B / hundred-billion model ladder — and flagship 1M-token context for Max.

Can editions upgrade cleanly?

Yes — TARSMIND Open →Pro →Max via format conversion and API adaptation. Knowledge bases, RAG stores, and signal pipelines stay intact when you change editions.

Hardware reality

TARSMIND Open: 16GB+ GPU for distilled / research builds. Pro: 48GB+ or multi-GPU private serving. Max: HBM clusters for full MoE + 1M context — we co-deploy, including domestic accelerators where required.

How fresh is the data?

TARSMIND runs 7×24 pipelines fusing global market data, on-chain feeds, and macro indicators — cleaned and aligned before context. Pro targets second-level updates; Max adds millisecond concurrent processing.

Private data, RAG & trading?

TARSMIND Pro/Max keep documents and streams inside your perimeter. We output signals via FIX / REST / WebSocket — we never custody funds or fire final orders.

IX · Access

Request TARSMIND LLM access

Tell us your TARSMIND edition — Open, Pro, or Max — and what the first pilot should prove: latency, citation quality, private RAG, or a live market board.

Product drops & model release notes
Desk playbooks and pilot success templates
Architecture review for private / VPC deploy
Edition recommendation for your org chart

[email protected] →