C:\MIZANO> system ready — v1.0.0

MIZANO 

 

Arbitrage in alternative markets — prediction markets, crypto exchanges, and DEXs. Higher returns at comparable risk. 1 of 1.

[ DASHBOARD ]> VIEW THESIS
◇BTC/USD 67,412 ▲ 1.84%◇ETH/USD 3,540 ▲ 2.41%◇SOL/USD 172.30 ▲ 3.12%◇KALSHI · FED-CUT 0.62 ▲◇POLY · US-ELECTION 0.54 ▼◇SPREAD CAPTURED 0.71%◇BYBIT FUNDING 0.011%◇CROSS-EX ARB OPP 17 LIVE◇DEX 24H VOL $2.1B ▲◇BTC/USD 67,412 ▲ 1.84%◇ETH/USD 3,540 ▲ 2.41%◇SOL/USD 172.30 ▲ 3.12%◇KALSHI · FED-CUT 0.62 ▲◇POLY · US-ELECTION 0.54 ▼◇SPREAD CAPTURED 0.71%◇BYBIT FUNDING 0.011%◇CROSS-EX ARB OPP 17 LIVE◇DEX 24H VOL $2.1B ▲
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C:\AHAQ> market_model --summary
$93.4B
TAM
total addressable
$12.41B
SAM
serviceable
$97.7M
TARGET AUM
8% market share
96
VERIFIED TRADES
live micro-arb
00
DIRECT RIVALS
1 of its kind
$4.9M
RUN-RATE / YR
prototype alone
// FIGURES REFLECT PROTOTYPE RESULTS AND INTERNAL MARKET MODELLING. FORWARD-LOOKING — NOT A GUARANTEE OF FUTURE RETURNS.
C:\AHAQ> about --firm

Who We Are

README.txt

Mizano Finance was founded by Arjun R. and Harish S.— students from India's premier institutes — on a single conviction: traditional markets are saturated and low-yield, while a new class of markets is young, high-volume, and structurally inefficient.

While prediction markets, cryptocurrency exchanges, and decentralised exchanges are no longer new, they now possess the critical mass and liquidity needed for institutional arbitrage without the intense competition of legacy markets. We build the algorithms and the low-latency infrastructure to capture that divergence, systematically and repeatedly.

THE PROBLEM
  • ~7.5% returns on traditional finance arbitrage. Lame.
  • Large investments bleed value to middle-man fees.
  • Doesn't even beat equities over a 3-year horizon.
THE SOLUTION
  • Arbitrage across alternative markets.
  • Prediction markets, crypto exchanges, DEXs.
  • Higher returns, comparable (low) risk.
what_is_arbitrage()

Arbitrage is the capture of divergence — a price difference in correlated markets. Executed perfectly, it guarantees small profits at regular intervals, limited only by competition and execution speed.

KALSHI ▁▂▄▆█▆▄▂ 0.62 POLY ▆▄▂▁▂▄▆█ 0.57 └─── Δ 0.05 captured ───┘

Alternative markets combine large volume with little competition — a fresh opportunity that mature equity and FX venues no longer offer.

const thesis = {
edge:      "young inefficient markets",
method:    "systematic divergence capture",
moat:      "speed + first-mover",
};
C:\AHAQ> market --opportunity

Market Opportunity

ADDRESSABLE MARKET
TAM$93.4B
SAM$33.72B
SOM$12.41B
CONSERVATIVE · 4% SHARE
$48.9M
projected assets under management
TARGET · 8% SHARE
$97.7M
competing with only 127 registered FMEs
COMPETITION
Direct competitors: none. First of its kind.
CRYPTO FUNDS (GLOBAL)897
└ OF WHICH HEDGE FUNDS443
└ ALGORITHMIC / QUANT127
└ ON PREDICTION MARKETS00
C:\AHAQ> strategies --explored

Strategies Explored

[01] PRED_MKT_ARB

PREDICTION MARKET ARBITRAGE

A rudimentary but working prototype running today. Already profitable across Kalshi / Polymarket — with clear headroom to optimise.

PROGRESS░░░░░░░░░░░░░░░░░░░░░░██████████████████████LIVE PROTOTYPE
› 96 verified micro-trades
[02] SPORTS_BOOK_ARB

SPORTS BOOK ARBITRAGE

A manually verified strategy — highly profitable in practice, currently awaiting full automation before capital is scaled in.

PROGRESS░░░░░░░░░░░░░░░░░░░░░░██████████████████████MANUAL · VERIFIED
› profitable, hand-executed
[03] INTL_CRYPTO_ARB

INTERNATIONAL CRYPTO ARBITRAGE

Theoretically verified high profitability across international venues. Requires larger capital to amass meaningful profit.

PROGRESS░░░░░░░░░░░░░░░░░░░░░░██████████████████████VALIDATED · MODEL
› capital-gated upside
[04] XMKT_CROSS_ARB

CRYPTO / PREDICTION CROSS-ARBITRAGE

A highly theoretical strategy with nearly infinite addressable volume — the long-horizon frontier of the book.

PROGRESS░░░░░░░░░░░░░░░░░░░░░░██████████████████████RESEARCH
› near-infinite volume
PROOF
96
micro-trades on the live prediction-market prototype. Small profits. Consistency. That's proof.
C:\AHAQ> team --founders

The Team

CO-FOUNDER
Arjun R.
Arjun R.
Strategy & Research

Designs the arbitrage models and the market thesis — mapping divergence across prediction and crypto venues.

CO-FOUNDER
Harish S.
Harish S.
Technology & Execution

Builds the low-latency infrastructure and automation that turns verified strategies into live, repeatable capture.

C:\AHAQ> setup --jurisdictions
FUND & FEEDER
CAYMAN ISLANDS

Simplifies investor relations and offers tax advantages for the fund structure.

TECH BACKBONE
CHENNAI

Research, development, and efficient, cost-effective execution of the trading stack.

FUND MANAGEMENT
ABU DHABI

Regulatory compliance and strategic oversight under ADGM.

C:\AHAQ> access --request

Request Access

WAITLIST

Platform access is currently restricted to authenticated partners. Join the waitlist to be notified when public allocations open.

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C:\AHAQ> faq --list

FAQs

  • 1) Scaling the algorithm is best suited to large investments from accredited investors.
  • 2) Current legal restrictions in India expose us to major penalties, and we lack the finances to relocate to Abu Dhabi right now.
  • 3) Backing lets us go full-time, keep the edge, and expand as rapidly as possible.
  • 1) We intend to scale until we capture all inefficiency in these markets, with highly optimised code that makes competing fruitless.
  • 2) Both markets offer perks to institutional investors, deepening our moat against hobby algorithm traders.
  • 1) Major players tend not to risk their reputations on newer markets.
  • 2) While prediction markets have existed for a long time, recent regulatory clarity has finally unlocked massive institutional volume.
  • 3) Regulatory constraints mean these funds can only exist in certain regions — of which ADGM and DIFC remain the best.