💎 $ORAI is becoming an access layer for Quant Terminal.
As more Quant products come online, $ORAI will connect users to:
→ Premium strategies
→ Vaults
→ Macro intelligence
→ Higher strategy limits
→ Quant credits
→ Selected Arena experiences
More products. More ways to use $ORAI.
H2 is where we start building this out.
Not just backtests.
Oraichain's quant strategies have already been running live, and hundreds of users have connected their own MT5 accounts to test them in real market conditions.
Want to see how it works?
Here's how to connect your MT5 account to Quant Terminal in just a few minutes.
🧵👇
This is the current Model Marketplace.
Each strategy starts with research, goes through testing, and is prepared for deployment before reaching this stage.
Here's how that process works.
🧵
Quant Terminal today is a very different product than it was at the start of H1. ✈️
🟢 Over the past six months, 10+ proprietary quant models have been backed by 130+ days of operating history, while execution expanded across crypto and TradFi through @Binance, @HyperliquidX , @Lighter_xyz, and MT5-connected brokers.
🟢 Along the way, Quant Cowork made strategy backtesting more accessible. GRV and XAU Alpha grew to nearly $1M in combined TVL, while GRV recorded around 50% share-price growth in its first month.
🟢 $ORAI also became more deeply embedded in the platform, with 600K+ $ORAI staked at peak and approximately 319K $ORAI staked at the latest snapshot.
🟢 Add five live strategy groups and proprietary market intelligence like the XAU Index and ATP Macro Engine, and H1 tells a clear story:
The quant thesis is now a working multi-market product.
A solid foundation heading into H2. 🌎
Oraichain's Quant Terminal continues expanding with new AI copilots and stablecoin-focused workflows rolling out through 2026.
Still $ORAI sits near a ~$4M market cap.
Why is the market barely valuing one of the earliest AI-focused Layer-1 ecosystems?
Oraichain is building an AI-native blockchain focused on bringing AI outputs directly into smart contract execution.
Instead of only providing external data feeds, the network aims to let applications use verifiable AI-generated results on-chain.
The ecosystem includes:
• AI-powered oracle infrastructure
• Quant Terminal
• AI copilots
• Agent infrastructure
• Stablecoin-focused workflows
That’s where Oraichain differs from traditional oracle networks.
Most oracle systems focus on delivering external data. Oraichain is trying to deliver AI-enhanced outputs that applications can use directly.
There are still obvious challenges.
Despite years of development and active product releases:
• TVL remains relatively modest
• User activity remains small compared to larger AI ecosystems
• Adoption has yet to match the scale of the broader AI narrative
The token is also still heavily influenced by overall AI market sentiment until product usage becomes a larger driver of value capture.
At the same time:
• ~70% of maximum supply is already circulating
• No major exploit history surfaced
• No public team misconduct emerged
• Governance remains DAO-driven and transparent
Tokenomics
• Price: $0.28
• Market cap: $3.9M
• Circulating supply: 13.82M
• Total supply: 18.01M (max 19.77M)
Always take whatever you read on the internet with a pinch of salt, do your own research, NFA.
I just finished backtesting the Odragon v1.6.5 strategy on Oraichain Quant Terminal using Conservative settings $ORAI
Here are the 3 most important metrics that stood out to me:
- Net Profit: +$3,375.97 (+33.76% on a $10k account in just 7 days)
- Profit Factor: 6.23 (very strong — total profits were over 6x the total losses)
- Max Drawdown: only 5.97% (extremely well-controlled risk, ideal for smaller accounts)
The strategy achieved a 70.59% win rate across 34 trades, but I’m focusing on these three metrics because they best reflect both performance and risk management
Oraichain is currently offering free access to the entire Quant Terminal (including Odragon and many other strategies)
You can backtest, tweak configs, and deploy strategies yourself without paying for VPS or infrastructure
This is a great opportunity for traders to test everything firsthand before going live
I’m not sure how long this free access will last.
Where do quants actually spend their time❓
Not just finding signals or collecting data. The real work is turning an idea into something that can survive testing, execution, and risk.
🟰 Hypothesis × Data × Validation × Execution × Risk
Miss one part, and the edge can disappear.
📢 Quant Cowork brings that process into one workflow, from research to backtesting and, eventually, live deployment.
After thorough backtesting, I’ve officially started running a $10,000 account using @oraichain strategies $ORAI
From today, I’ll share daily performance updates with full transparency and I’ll also publish the most effective configs I’m actually using.
Oraichain has a lot of ready-made strategies with optimized configs.
To help everyone avoid feeling overwhelmed by the parameters, I’ve written a detailed article explaining the key settings you should focus on when choosing the right strategy for your risk tolerance and profit goals.👇
If you’re interested in Oraichain, feel free to follow along.
5 Quant Strategy Groups. 56 Green Days. Live on Our MT5 Headless Infra. 📈
We are not just building execution infra. Our proprietary strategies are already trading live—some fully automated, others with a human co-pilot.
Our stack also includes our own exclusive XAU Index and ATP Macro Engine.
Disclaimer: June + July snapshot. Account sizes and denominations vary, so results are compared by percentage—not nominal PnL.
We just shipped one of the biggest infra upgrades in Quant Terminal.
Not because we "added MT5."
Because we removed one of the biggest barriers to systematic trading.
🧵👇
What if you could test a more robust strategy before putting real capital on the line? 🔥
Introducing Quant Cowork, now live on the Playground at https://t.co/1HjjBqSVjX ☀️
🏗️ Built for active trading across XAU and FX, it lets you:
• Backtest Oraichain Labs’ strategies, including Trend-Following and Bayesian Grid.
• Replay markets at tick level
• Use preset setups or customize parameters
• Compare historical risk and returns before choosing a setup
Coming soon: move your backtested setup into live trading.
Backtest first. Compare performance. Find your setup. 📈