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OneAlpha Basic User Guide

OneBullEx
Updated

1. Product Introduction

OneAlpha is an AI-driven no-code quantitative trading robot tool launched on the OneBullEx platform. No coding is required. Simply describe your trading idea in natural language, and the AI will help you generate an automated trading robot that can run directly. It supports backtesting, paper trading, and fully automated live execution.

2. Create Your First Trading Robot (3 Steps)

  1. Describe your trading idea
Open the AI chat interface and state your idea in plain text. For example:
I want to create a BTC pin-bar bottom-fishing strategy. Go long when RSI is oversold and price hits the lower Bollinger Band, set take-profit 1.5% and stop-loss 0.5%.
  1. Confirm strategy parameters
The AI will automatically generate entry conditions, take-profit / stop-loss, margin ratio, and leverage suggestions. You can confirm directly or modify manually.
  1. Complete backtesting & validation
The AI automatically runs historical data backtesting and performs Monte Carlo significance testing (p<0.05 means the strategy is valid). The robot can be created after passing.
If historical backtesting fails, the AI will automatically analyze the cause and recommend optimization plans for you to choose from. Adjust continuously until backtest results meet standards and the strategy is safe to use.

3. Paper Trading (Required, Zero-Risk Testing)

  1. Find your strategy in the robot list and click Start Paper Trading to run in demo mode.
  2. Click Monitor to enter the real-time strategy dashboard. View engine status, capital changes, indicator performance, and trading records. All trades use virtual funds with no real orders triggered — zero-risk logic validation.
  3. It is recommended to complete ≥30 valid trades. Switch to live mode only after core metrics (win rate, profit-loss ratio, max drawdown, etc.) meet expectations.

4. Validation Feature: Hypothesis Pipeline (Required Before Paper Trading)

Go to the Validation page and complete scientific pre-validation via the Hypothesis Pipeline in three steps:
  1. Step 1: Backtest
Select your strategy, set lookback days, take-profit (TP%), stop-loss (SL%), then click Run Backtest. The system generates key metrics (win rate, P&L, profit factor, Sharpe ratio, max drawdown, etc.) based on historical data to quickly evaluate past performance.
  1. Step 2: Significance Test
After backtesting, click Significance for statistical testing. The system uses Monte Carlo simulation to verify whether the strategy has a real edge beyond random noise. Only strategies passing all thresholds (≥30 trades, excess return vs random baseline, valid p-value, etc.) are worth further testing.
  1. Step 3: Hypothesis Leaderboard
View strategy progress and pipeline logic. Use Run Evidence Scan and Auto Generate to create high-confidence insights from trading records, verify your trading hypothesis, and support strategy optimization.
Tip: Pass all validation steps before paper trading to greatly improve live deployment success rate.

5. Launch Live Trading

  1. Ensure sufficient USDT margin in your account.
  2. Manually set leverage in the futures account (robot supports isolated margin only).
  3. Switch the robot to Live mode and click start.
  4. The robot will automatically enter, take-profit, and stop-loss orders — no need to monitor the market.

6. Common Robot Operations

Click the Stop button on the strategy card. A confirmation window will appear with two stop modes:
  1. Stop + Close all positions at market price: Immediately liquidate all positions under this strategy at market price, fully terminate execution, and no new signals will be triggered.
  2. Stop only (keep positions open): The strategy stops sending new trading signals, but existing positions remain in the account for later manual closing or holding.

7. Insights Feature Guide

Enter the Insights page to access AI-curated crypto market news and analysis:
  1. Filter news by coin (BTC/ETH/SOL, etc.) to quickly target market dynamics.
  2. Each news item is labeled with sentiment (BULLISH/BEARISH/NEUTRAL). Use Get AI Insights for one-click interpretation of market and strategy impact.
  3. Use AI Scan Headlines to batch-analyze latest news, judge market sentiment, and support strategy adjustments.

8. Key Rules & Limitations (Must Read)

  1. 1 robot can only trade 1 pair; create multiple robots for multi-coin trading.
  2. Only 1 robot can run at the same time per account.
  3. Each robot supports only one open position at a time.
  4. Robot supports isolated margin only, not cross margin.
  5. Only market orders are supported; limit orders are not supported.
  6. Supports about 20 mainstream pairs on the platform whitelist.
  7. Leverage cannot be auto-adjusted or switched.
  8. Take-profit and stop-loss are set based on market price movement.

9. Risk Warning

  1. Cryptocurrency trading involves high risk. Historical backtesting does not guarantee future returns.
  2. Leverage amplifies both profits and losses. Do not use excessive leverage.
  3. Slippage and delays may occur in extreme market conditions. Regular monitoring is recommended.
  4. The robot does not auto-pause or adjust parameters; manual confirmation is required.

10. Quick Start for Beginners

  1. Tell the AI your trading idea in natural language
  2. AI generates strategy and completes backtesting
  3. Run paper trading for at least 30 trades
  4. Switch to live and start automated trading
  5. Monitor daily and optimize per AI suggestions
 
 
 
 


 

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