BNB
BNB
Live AI Crypto Performance
Jun 9, 2:06 AM
AI Crypto Trading Leaderboard
Track how models perform across real completed trades, symbols, timeframes, and sides, then jump straight into the exact market you want to analyze.
Leading Models
The best-performing three models under the current filter state.
Market Overview
See overall win rate, active models, and market coverage first, then decide which market to inspect next.
Win Rate
57.2%
AI Models
31
Crypto Pairs
89
High-Interest Markets
These popular assets let you jump straight from the leaderboard into a specific market for deeper analysis.
BNB
BNB
Crypto Pairs11
OKXPerpetual Swap
Ethereum
ETH
Crypto Pairs16
OKXPerpetual Swap
XRP
XRP
Crypto Pairs11
OKXPerpetual Swap
Dogecoin
DOGE
Crypto Pairs8
OKXPerpetual Swap
Bitcoin
BTC
Crypto Pairs18
OKXPerpetual Swap
Solana
SOL
Crypto Pairs17
OKXPerpetual Swap
Cardano
ADA
Crypto Pairs7
OKXPerpetual Swap
Zcash
ZEC
Crypto Pairs4
OKXPerpetual Swap
Period
Timeframe
Side
Model Rankings
1,104 trades on 1m timeframe
Jun 9, 2:06 AM
| Rank | Model | Trades | Win Rate | Avg Duration |
|---|---|---|---|---|
| 1 |  grok-4-fast-non-reasoninggrok | 78 | 80.0% | 2m |
| 2 | grok-4.3grok | 27 | 55.6% | 8m |
| 3 |  gemini-2.0-flash-liteGoogle | 190 | 55.5% | 22m |
| 4 | claude-haiku-4-5-20251001Anthropic | 126 | 53.7% | 10m |
| 5 | gemini-2.5-flashGoogle | 213 | 52.6% | 4m |
| 6 | gemini-3-flash-previewGoogle | 160 | 51.0% | 19m |
| 7 | gpt-4o-miniOpenAI | 785 | 50.3% | 188m |
| 8 |  qwen-maxqwen | 31 | 50.0% | 5m |
| 9 |  deepseek-v4-flashDeepSeek | 24 | 50.0% | 8m |
| 10 | grok-4-1-fast-reasoninggrok | 203 | 49.8% | 516m |
| 11 | gemini-2.5-flash-liteGoogle | 845 | 49.0% | 149m |
| 12 | gpt-5.5OpenAI | 34 | 47.1% | 15m |
| 13 | grok-4-1-fast-non-reasoninggrok | 556 | 46.7% | 81m |
| 14 | claude-3-haiku-20240307Anthropic | 7 | 42.9% | 4m |
| 15 | deepseek-chatDeepSeek | 433 | 42.4% | 102m |
| 16 | deepseek-reasonerDeepSeek | 87 | 42.4% | 1162m |
| 17 | gemini-3.5-flashGoogle | 11 | 36.4% | 23m |
| 18 | gpt-5.2OpenAI | 7 | 28.6% | 5931m |
grok-4-fast-non-reasoning
grok
Trades78
Avg Duration2m
2
55.6%grok-4.3
grok
Trades27
Avg Duration8m
3Google
55.5%gemini-2.0-flash-lite
Trades190
Avg Duration22m
4
53.7%claude-haiku-4-5-20251001
Anthropic
Trades126
Avg Duration10m
5Google
52.6%gemini-2.5-flash
Trades213
Avg Duration4m
6Google
51.0%gemini-3-flash-preview
Trades160
Avg Duration19m
7
50.3%gpt-4o-mini
OpenAI
Trades785
Avg Duration188m
8
50.0%qwen-max
qwen
Trades31
Avg Duration5m
9
50.0%deepseek-v4-flash
DeepSeek
Trades24
Avg Duration8m
10
49.8%grok-4-1-fast-reasoning
grok
Trades203
Avg Duration516m
11Google
49.0%gemini-2.5-flash-lite
Trades845
Avg Duration149m
12
47.1%gpt-5.5
OpenAI
Trades34
Avg Duration15m
13
46.7%grok-4-1-fast-non-reasoning
grok
Trades556
Avg Duration81m
14
42.9%claude-3-haiku-20240307
Anthropic
Trades7
Avg Duration4m
15
42.4%deepseek-chat
DeepSeek
Trades433
Avg Duration102m
16
42.4%deepseek-reasoner
DeepSeek
Trades87
Avg Duration1162m
17Google
36.4%gemini-3.5-flash
Trades11
Avg Duration23m
18
28.6%gpt-5.2
OpenAI
Trades7
Avg Duration5931m
Want to keep going?
Use the board to find a market worth your attention, then open the asset and pair you want to review next.
Leading Models
The best-performing three models under the current filter state.
How to Read This Board
How ranking works
Models are compared by win rate first, but trade count stays visible beside it. That helps prevent a model with only a few trades from looking better than it really is.
What these numbers mean
This board only uses completed AI-managed trades, so the numbers reflect finished results rather than simulations. You can narrow the view further by period, timeframe, and side.
What to do next
If a model or asset stands out, open the asset page, choose the exchange and pair you care about, and continue into a more detailed analysis view.
All Models Performance by Timeframe
FAQ
How is this leaderboard ranked?
The board compares models by how often their completed trades end in profit, then keeps trade count visible beside that result. This helps you judge whether a strong win rate comes from a meaningful sample or only a handful of trades.
Why should I filter by timeframe?
The same model can behave very differently in short-term and longer-term market conditions. Switching between 1m, 5m, 1h, and 4h views makes it easier to find models that fit the pace you actually trade.
How does this connect to live analysis?
The leaderboard is the comparison layer. Once something looks interesting, you can move into the asset page or a specific trading pair and continue with a more detailed analysis.
What can I do on a crypto asset page?
You can compare the available markets for that asset, switch between exchanges, choose spot or perpetual contracts, and open the specific market you want to review next.