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import numpy as np
import pandas as pd
from quantmind import Model

model = Model('v3.2')
model.load_data('binance_ethusdt')
model.set_parameters({
    'window': 20,
    'threshold': 0.02,
    'stop_loss': 0.01,
    'take_profit': 0.05
})

while True:
    signal = model.predict()
    if signal == 'buy':
        execute_order('buy', amount)
    elif signal == 'sell':
        execute_order('sell', amount)
    time.sleep(1)

# AI 量化交易系统
# 实时数据分析
# 智能风控引擎
# 低延迟执行
# 24/7 不间断运行
New v3.2 is live · AI model upgrade · 300% faster

Let AI become your
dedicated quant trader

A next-generation trading engine combining AI prediction with classic quant methods. Zero profit share, automated execution, and account-side safety make strategy following more direct.

Start AI quant tradingView strategy performance
Top 30D return
5.7%
Live strategy data
Active traders
12,800
Trusted by global users
Signal execution latency
8
Low-latency target
Safe running days
Strategy performance

Featured AI quant strategies

Every strategy is validated by AI backtesting and live trading, with multi-dimensional risk evaluation to help you find the investment plan that fits you best.

Live strategy board

Quantmind win

+5.7%30D ROI
Win rate
<85%
MDD
5.8%
Trades
525
Asset preferenceFIL 5.3%EIGEN 5.0%WLD 4.7%

Strategy is younger than 30 days; based on available records.

ROI: realized PnL of rounds active in the period plus current floating PnL, divided by strategy margin.

Updated Nov 9
Copy this strategy

Keep the profit share

Copy orders execute through your own API key, so the copy platform does not take an extra profit-share cut from profitable trades.

Low-latency trade following

Platform strategy actions refresh on a short cycle and enter the execution queue quickly, reducing the gap between the strategy move and your follow order.

Monitored execution

Deduplication, retry windows, robot heartbeat and reconciliation help reduce missed, duplicated or drifting orders.

What you can check before copying

Returns, risk and execution signals in one view

Past performance is for reference only and does not guarantee future returns. Crypto derivatives carry high risk and may cause losses.

ROI
Review strategy return trends and historical performance
MDD / Win rate
Check drawdown and consistency before following
PF / Assets
Check profit factor and asset concentration

Ready to let AI trade for you?

Choose a strategy, connect your exchange API, then follow the guide to set copy ratio and risk controls so AI strategies can execute in your account.

Guided strategy setup · API connection · 0% platform profit share

1247
Monitored execution

Quantmind Exchange pro

+1.5%30D ROI
Win rate
<85%
MDD
5.0%
Trades
656
Asset preferenceEIGEN 4.4%ATOM 4.1%FET 3.9%

Statistics for the selected period

ROI: realized PnL of rounds active in the period plus current floating PnL, divided by strategy margin.

Updated Nov 9
Copy this strategy

Quantmind Pro

-2.0%30D ROI
Win rate
<85%
MDD
2.5%
Trades
156
Asset preferenceFET 14.8%ICP 8.4%FIL 7.4%

Statistics for the selected period

ROI: realized PnL of rounds active in the period plus current floating PnL, divided by strategy margin.

Updated Nov 9
Copy this strategy

Quantmind稳健版

-2.4%30D ROI
Win rate
<85%
MDD
2.8%
Trades
175
Asset preferenceFET 8.5%ICP 8.5%FIL 7.6%

Statistics for the selected period

ROI: realized PnL of rounds active in the period plus current floating PnL, divided by strategy margin.

Updated Nov 9
Copy this strategy
Asset preference
See concentration across ETH, BTC, SOL and more
Last trade
Know whether the strategy is still active
API execution
Your account, your API key, your risk controls
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