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Intraday Edge - AI Trend Strategy | SatoshiLab

Intraday Edge - AI Trend Strategy | SatoshiLab

Type: Strategy
Koop $ 24.99

Prijs is inclusief 12 maanden updates.

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SatoshiLab

Certified Specialist in Automated Crypto Trading (Cryptohopper) | Discord: https://discord.gg/bj92YX7Aj3 | Telegram: stshlb | E-mail: [email protected] | X: SatoshiLabX

🌎 - 108 volgers - Profiel bekijken

Aanvullende informatie

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Laag

Versie
30

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Alleen voor Hero Bots

Deze strategie gebruikt exclusieve indicatoren die alleen beschikbaar zijn voor bots met een Hero-abonnement.

Overzicht

Intraday Edge - AI Trend Strategy by SatoshiLab
A professional, AI-ready trend strategy built for intraday traders who want clean, machine-consumable signals.
IMPORTANT: Engineered to be added only as a Trend Strategy inside an AI.
What this strategy is:
- Type: AI Trend Strategy (designed to be used only as a Trend Strategy inside an AI)
- Signals produced: Buy, Sell, Neutral signals.
- Availability: Paid item on the Cryptohopper Marketplace — 12 months of free updates included with purchase.
- Exclusivity: All SatoshiLab items (including this strategy) are available only on Cryptohopper.
Why it works:
- Two complementary analysis engines:
1. One engine detects underlying market cycles and trend direction across multiple timeframes.
2. The other measures buying vs selling pressure and momentum to confirm whether a trend is real or likely to stall.
How they work together:
- The cycle detector says which way the market wants to go (up, down or sideways).
- The pressure gauge then says whether it’s safe to act — if pressure supports the cycle, the strategy issues a Buy or Sell signal; if pressure is uncertain or balanced, the strategy issues a Neutral signal.
Multi-timeframe confirmation:
Signals are not based on one chart alone.
The system checks shorter and longer timeframes to confirm consistency.
This reduces false alarms and improves signal quality.
Why that matters:
Imagine crossing a street: one look (single timeframe) can be risky.
Looking both ways plus checking if traffic is actually moving (pressure) makes crossing much safer.
That’s what Intraday Edge does for entries and exits.
- AI integration benefit:
Because the outputs are clear (Buy / Sell / Neutral) and the logic is trend-focused, the AI can easily learn, weight or override signals within an AI pipeline — improving automated decision-making while keeping human oversight simple.
- Value:
Tested for intraday conditions: Built and tuned for intraday trading and short-term swing contexts.
Professional-grade maintenance: Purchase includes 12 months of free updates.
Clear next steps:
1. Purchase on the Cryptohopper Marketplace.
2. Add Intraday Edge as a Trend Strategy inside your AI.
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For an optimized trading experience, enhance your setup with TRADING SIGNALS by SatoshiLab — meticulously designed to support the decision-making of your bot and elevate overall performance.
- Subscribe to TRADING SIGNALS by SatoshiLab: https://www.cryptohopper.com/signaller?signaller_id=713
Interested in exploring first?
Begin with our FREE SIGNALS by SatoshiLab, which deliver reliable, high-quality buy signals suited for scalping, intraday and swing trading—all at no cost, though with a 30-day cooldown period between signals.
- Subscribe to FREE SIGNALS by SatoshiLab: https://www.cryptohopper.com/signaller?signaller_id=715
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If you have questions about this strategy or any of our other marketplace items, reach out to us via:
| Discord: https://discord.gg/bj92YX7Aj3
| Telegram: stshlb
| E-mail: cloud_canes_1z@icloud.com
| X: SatoshiLabX

Disclaimer:
This strategy is not financial advice and does not guarantee profits. All trading involves risk, including the possible loss of capital. Always backtest and paper trade before using real funds, and adjust risk settings according to your own comfort level. Results can vary based on market conditions and user configuration. You are fully responsible for any decisions made when using this strategy.

Keywords: satoshilab, satoshi lab, stshlb, Satoshi Lab, SatoshiLab

Strategie Details

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