Dojifunded

Dojifunded is building the on-chain infrastructure to fund traders and autonomous strategies.

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技術堆疊

React

Rust

Solidity

Ethers

Vue

viem

描述

DojiFunded

Private Alpha - https://app.dojifunded.com/trade

The Market

A decade ago, becoming a trader meant one thing: you needed capital.

Even the best traders faced the same problem. Skill alone was not enough, If you wanted meaningful upside, you needed meaningful size. A trader making 5% a month on a $5,000 account could get by barely, while a trader making the same return on a $500,000 account could build a career.

This gap gave rise to one of the fastest growing industries in finance: funded trading.

Funded trading firms emerged to solve a simple problem. Find talented traders, give them access to larger pools of capital, and share in the upside. Traders prove themselves through evaluations, receive funded accounts, and keep as much as 90% of the profits they generate.

What started as a niche category quietly grew into a global industry worth more than $10 billion, serving over 10 million traders worldwide. Growth accelerated after COVID as retail participation surged, remote work became normal, and trading increasingly became a legitimate career path.

But beneath this growth sat an uncomfortable truth, the industry was built on trust, not transparency.

The Problem

Behind polished websites and bold payout claims sits an ecosystem that still operates like a black box. For millions of traders, some of the most important decisions remain invisible.

Why was a payout denied?
Why was an account flagged?
What actually determines whether someone passes or fails an evaluation?
Who is really taking the risk behind funded accounts?

The answers are often hidden behind internal systems, discretionary decisions, and risk models traders never get to see. In an industry worth billions, traders still rely on screenshots on X, Discord discussions, and reputation to decide which firms can be trusted.

At the same time, trading itself is changing. The next generation of traders will not only be humans manually placing trades. Trading is becoming increasingly systematic, automated, and autonomous.

Quant traders already run execution systems that operate continuously. Strategies react faster than humans and make decisions based on rules rather than emotion. AI native systems are beginning to participate in markets in ways that were not possible before.
Yet the infrastructure to fund these strategies does not exist.

Most prop firms were built for discretionary retail traders. They were never designed for automated systems, strategy vaults, or autonomous trading agents.

Introducing DojiFunded

We started DojiFunded with a simple belief:
If trading is becoming automated, funding should become programmable.

DojiFunded is building the on chain infrastructure layer for funded trading, designed not only for human traders but also for the next generation of autonomous trading strategies.

We believe funded trading should move from opaque firms and closed systems into transparent financial infrastructure where performance, payouts, and risk are visible and verifiable on chain.

At DojiFunded, traders and strategy builders access capital through transparent, rules based infrastructure. Evaluations become verifiable, payouts become transparent, performance becomes auditable.

Capital allocation becomes programmable. Instead of relying on discretionary approvals or hidden risk systems, trading performance can be measured directly through execution data and transparent logic. More importantly, we are building for a future where autonomous strategies can receive funding natively.

A profitable quant strategy should be able to qualify for larger capital allocations automatically. AI native trading agents should be able to access funded capital programmatically. Liquidity providers should be able to allocate capital to trader and strategy performance as a measurable investment opportunity.

We are not building another prop firm. We are building the infrastructure that powers capital formation for traders and autonomous financial agents.

Why Arbitrum?

When we started building DojiFunded, we made an intentional decision. We would not optimise for hype, we would optimise for execution.

We chose Arbitrum because we believe serious trading infrastructure requires flexibility, deep liquidity, and strong execution.

Funded trading only works if the execution layer is reliable. Rather than rebuilding trading infrastructure from scratch, we partnered with proven execution venues like GMX and Ostium. This allows us to focus on what matters most: funding infrastructure, evaluations, treasury systems, risk management, and capital allocation while leveraging strong execution venues underneath.

The Vision

Funded trading gave millions of traders access to capital. But the infrastructure underneath it remained opaque and centralised. We believe the next chapter looks different. A future where capital moves transparently, where performance is verifiable, where traders and autonomous strategies can receive funding programmatically and where a multibillion dollar black box industry becomes part of open financial infrastructure.

We are building the infrastructure to introduce funded traders to transparent, verifiable trading on Arbitrum through on chain evaluations, transparent payouts, and real execution.

That is the future DojiFunded is building.

黑客松進展

During the Arbitrum Buildathon we built a cross-venue risk engine for our funded-trader platform. Settlement, payouts, and trade proofs run on Arbitrum One. One account can hold a BTC position on GMX and a TSLA position on Ostium at the same time, and a single drawdown limit applies to both. Every order goes through the same risk check before it executes, whether a human or an AI agent placed it. The hard part was getting one accurate equity number across two venues at the moment an order arrives, then rejecting any order that would push the account below a locked drawdown floor. We mark each open position to its own venue's live price and add it to the cash balance to get equity. Prices and funding change every block, so we recompute that number before every risk check. The engine is written in Rust and is the single source of truth for risk. It ignores dust positions, falls back sensibly when a price feed goes stale instead of freezing, and checks the drawdown floors before leverage, so an account that has already breached can't add more exposure. We built three floor types: a static floor fixed to the starting balance, a daily floor that re-anchors each day to the high-water mark, and a trailing floor that ratchets up and never drops. All of them are checked on every order and again on the funding loop, because a position can breach on price movement alone with no order placed. We also made the trade record verifiable without trusting us. Any closed trade can be minted as an ERC-721 on Arbitrum One with the full trade data stored on-chain as base64 JSON, so there is no IPFS or API in the path. Anyone can verify a trade with a direct eth_call to tokenURI, and our backend is never involved. On the agent side, we gave an AI agent a real funded account but kept it inside hard limits. It has a revocable credit per turn, a preflight check on worst-case loss and leverage before any order, and below both of those, the same Rust drawdown engine every human order hits. The first two limits assume the agent behaves. The drawdown engine does not: even a jailbroken agent can only lose down to the floor before the account locks. Payouts go through a role-gated vault that is idempotent and rate-capped, so a stolen operator key can only move one window's worth of funds. A note on Stylus, since we know it matters here. The risk engine is already in Rust but runs off-chain today because it re-values accounts sub-second on every order, and that hot path does not belong on-chain. Because it is already Rust, moving the verification step to Stylus later is a port rather than a rewrite, and that is the direction we are heading. The architecture is also set up so a funded trader's net position can be routed on-chain to the venues, which is the next step from running fully internal toward selective on-venue routing. Milestones: -Successfully launched the DojiFunded Private Alpha (invite-only), onboarding active traders from the GMX, Ostium, and Camelot ecosystems. - Expanded our private alpha user base from 100 to 300 funded traders, validating early demand and platform engagement. - Executed our first on-chain capital routing to execution venues, integrating real trading flow into GMX and Ostium. - Generated over $1M in trading volume across our execution venues during the private alpha phase. Successfully hosted and tested our first autonomous strategy for funding, advancing our vision of funding both human traders and algorithmic strategies. - Tested the beta version of our prediction markets infrastructure, expanding the product surface for trader participation and risk markets. Ecosystem recognition: Camelot ecosystem mention: https://x.com/CamelotDEX/status/2061490306525401587?s=20 DojiFunded alpha with GMX Repost: https://x.com/GMX_IO/status/2059010360103858304?s=20 This is only the beginning of our vision to bring transparency, capital access, and verifiable performance on-chain for traders and autonomous strategies.

籌資狀態

Raised USD 100k at a USD 15M valuation, SAFE from TBV ventures

團隊負責人

AArafath Shariff

專案連結

行業

DeFiAI