Does Quant Tekel's EA & Bot Policy include restrictions on trading styles or strategies?

No, Quant Tekel places no restrictions on automated trading styles or strategies. All EAs and bots are welcome, from scalping to swing trading algorithms. However, your EA must still comply with other firm rules like news trading restrictions and daily loss limits.

What happens if I breach rules while using an EA at Quant Tekel?

Rule breaches using EAs are treated the same as manual trading violations - your account will be terminated regardless of whether the breach was automated or manual. You remain fully responsible for your EA's actions and must ensure it operates within all firm parameters. No exceptions are made for automated trading violations.

Can I run multiple EAs simultaneously on my Quant Tekel account?

Yes, you can run multiple EAs on the same account as long as their combined activity stays within all risk parameters. Monitor that total daily loss from all EAs doesn't exceed 4% and that combined trading meets the minimum 4 trading days requirement. Ensure multiple systems don't conflict or create excessive correlation risk.

Does Quant Tekel's EA policy apply to both balance and equity calculations?

Yes, EAs must operate within drawdown limits calculated from equity, not just closed trade balance. This means your automated system must account for floating losses in real-time, not just completed trades. Program your EA to monitor equity-based drawdown since unrealized losses count toward Quant Tekel's 4% daily and 10% maximum loss limits.

Updated 2026-04-17

Quant Tekel EA & Bot Policy Rule Explained

Quant Tekel

Quick Answer

Quant Tekel allows EAs and bots with full algorithmic trading support across all account sizes.

All automated trading strategies including Expert Advisors and trading bots are permitted and actively encouraged. Quant Tekel provides comprehensive algorithmic trading infrastructure to support automated systems. No restrictions exist on EA usage during either challenge or funded phases.

Key Rule Details

EAs Allowed

Yes

Restrictions

EAs encouraged with full algo trading support

HFT

Prohibited at all firms

Arbitrage

Prohibited at all firms

Copy Trading

Not allowed

Calculation Example

Account Size: $100,000 — EA & Bot Policy: Allowed with conditions

Account Size	$100,000
EA & Bot Policy Limit	Allowed with conditions
Scenario: Closed P&L	EA places 10 trades per day
Scenario: Floating P&L	Permitted (no HFT/arbitrage)
Total Exposure	Normal operation continues
Remaining Buffer	Monitor for prohibited strategies

Limit used:0%

Common Mistakes

Ignoring News Restrictions

Many EA users forget that Quant Tekel restricts news trading, which can cause bots to breach rules during high-impact events. An EA trading EUR/USD during NFP could trigger excessive drawdown beyond the 4% daily loss limit. Automated systems don't automatically pause for news events unless programmed to do so.

Inadequate Risk Parameters

Traders often use EAs with risk settings that exceed Quant Tekel's 4% daily loss or 10% maximum drawdown limits. A bot risking 2% per trade could quickly hit the daily limit with just two consecutive losses. Many forget that automated systems can execute trades faster than manual intervention allows.

Insufficient Backtesting Period

Users deploy EAs without testing them against Quant Tekel's specific rule structure, particularly the 8% Phase 1 profit target requirement. An EA optimized for different conditions might take too long to reach targets or violate the minimum 4 trading days rule. Inadequate testing leads to rule breaches that could have been prevented.

Overleveraging Small Accounts

On smaller accounts like the $5,000 challenge, EAs often use position sizes that work on larger accounts but create excessive risk. A $200 daily loss limit means an EA risking $100 per trade only allows for two losing trades. Many don't adjust their bot's position sizing formula for different account tiers.

Protection Strategies

Set Conservative Daily Loss Buffer

Program your EA with a 3% maximum daily loss instead of Quant Tekel's 4% limit to create a safety buffer. This gives you room for slippage and prevents automatic rule violations. On a $10,000 account, this means stopping at $300 loss rather than risking the full $400 daily limit.

Calculate Risk Per Account Tier

Adjust your EA's position sizing based on each account level's specific dollar limits rather than percentage-based risk. For the $25,000 account with $1,000 daily loss limit, risk no more than $200 per trade to allow for five potential losses. Scale position sizes proportionally across all account tiers.

Implement Real-Time Drawdown Monitoring

Set up alerts when your EA approaches 2% daily loss or 6% total drawdown to allow manual intervention before breaching limits. Use equity-based rather than balance-based calculations since unrealized losses count toward Quant Tekel's limits. Configure automatic EA shutdown at these warning levels.

Program News Calendar Integration

Build news filtering into your EA to pause trading 30 minutes before and after high-impact news events to comply with Quant Tekel's news trading restrictions. This prevents your bot from entering trades during volatile periods that could quickly breach the 4% daily loss limit. Resume automated trading only after volatility subsides.

Related Rules

Profit Target (Phase 1)

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Profit Target (Phase 2)

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Quant Tekel Comparisons

Fundednext vs Quant Tekel Ftmo vs Quant Tekel Fundingpips vs Quant Tekel The Funded Trader vs Quant Tekel

Frequently Asked Questions

PropSize iOS App

Position sizing without the spreadsheet.

Firm rules built in

FTMO, FundedNext and FundingPips pre-loaded. No manual entry.

Remembers your session

Last firm, account size, and instrument saved between opens.

Works offline

Calculate positions without internet. Gold contract sizes handled.

Disclaimer: This guide is for informational purposes only and does not constitute financial advice. Prop firm rules change regularly — always verify current terms on Quant Tekel's official website before purchasing a challenge. Updated 2026-04-17.