The Problem
You think you have a strategy. Maybe it’s:- “Buy tokens under $100K market cap with locked liquidity”
- “Enter when holder count crosses 500”
- “Sell at 2x, cut losses at 50%”
The Solution
Run your exact filters and rules against real Solana data from the last 7-30 days. Not cleaned-up data. Not survivorship-biased data. Real data, with realistic slippage, failed tokens included, and all the chaos of actual markets.Most backtesting tools quietly remove failed tokens from their data. Omnera includes them, because you would have traded them too.
AI That Speaks Plain English
The AI Backtester doesn’t just give you numbers. It tells you what they mean.Honest Assessment
“This strategy lost 14 trades in a row at one point. Could you handle that?”
What Broke
“Your biggest losses came from tokens with unlocked liquidity. Consider adding that filter.”
Suggested Fixes
“Adding a minimum holder count of 200 would have avoided 60% of your losing trades.”
Reality Check
“This strategy has edge, but requires $5K minimum to survive the drawdowns.”
What Gets Tested
Your Exact Rules
Define your strategy however you trade:Against Real Conditions
| What’s Included | Why It Matters |
|---|---|
| Realistic slippage | Your backtested entry price matches what you’d actually get |
| Failed transactions | Some trades wouldn’t have executed. We account for that |
| Failed tokens | Tokens that went to zero are in the data |
| Gas costs | Priority fees during congestion are included |
| Timing | Execution delays based on actual network conditions |
How to Use the Backtester
1
Define Your Strategy
Set your entry conditions, exit rules, and position sizing. Be specific. The more precise your rules, the more accurate your backtest.
2
Choose Your Period
- 7 days: Quick validation, recent market conditions
- 14 days: Balanced view across different market states
- 30 days: Comprehensive test including various market cycles
3
Run the Backtest
Omnera simulates every trade your strategy would have made, with realistic execution.
4
Review with the AI
Don’t just look at the numbers. Ask the AI:
- “What killed my best trades?”
- “How do I reduce drawdowns?”
- “Is this edge real or just luck?”
5
Refine and Repeat
Adjust your strategy based on the AI’s feedback. Run again. Find real edge, or save yourself from a strategy that was destined to fail.
Understanding Your Results
Key Metrics
| Metric | What It Means | What’s Good |
|---|---|---|
| Win Rate | % of profitable trades | Depends on R:R, but >35% with good sizing |
| Average R | Avg win ÷ avg loss | Above 2.0 means winners outpace losers |
| Max Drawdown | Worst peak-to-trough decline | Under 30% for most traders |
| Max Losing Streak | Most consecutive losses | Can you emotionally handle this? |
| Expectancy | Average $ per trade | Positive = you have edge |
The Questions That Matter
The AI helps you answer what backtests alone can’t:Can you handle the drawdowns?
Can you handle the drawdowns?
A strategy might be profitable but require stomach-churning losing streaks. The AI tells you upfront.
Is the edge statistically significant?
Is the edge statistically significant?
10 winning trades could be luck. The AI assesses whether your sample size supports real conclusions.
What market conditions does this need?
What market conditions does this need?
Some strategies only work in specific conditions. The AI identifies dependencies.
How much capital do you need?
How much capital do you need?
Based on drawdowns and position sizing, the AI calculates minimum viable capital.
No Survivorship Bias
When a token failed during your backtest period, it’s in there. When liquidity was pulled, it’s in there. The results you see are the results you would have actually gotten.Find Edge or Save Money
The AI Backtester does one of two things:- Validates your edge. You have a real strategy. Now you can trade it with confidence.
- Saves you from yourself. The strategy doesn’t work. Better to find out here than with real money.