On-chain
Bitcoin’s on-chain ceiling, September 2026
Glassnode’s $83k–$86k band, quiet sell-side risk, and how that read sits beside a CryptoCrispy plan.
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News and trading insights
Practical guides on AI crypto signals, accuracy, risk, and portfolio analytics, plus company updates from CryptoCrispy.
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On-chain
On-chain
How to read Glassnode on-chain metrics
SOPR, short-term holder MVRV, sell-side risk, and realized cap, as regime context beside a signal.
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Portfolio
Weekly Portfolio Plan recap, 24 Aug to 21 Sep 2026
Seven published books, one complete 28-day window, and why the winner strip is an older plan.
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Weekly
How to read a weekly CryptoCrispy report
Window, sample, and coin rows before you treat a seven-day headline as a new trading rule.
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Signals
How AI crypto trading signals actually work
What a useful signal contains, and how to use it as decision support rather than a guaranteed forecast.
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Accuracy
How to read crypto signal accuracy reports
Accuracy, ROI, and sample size mean different things. Learn which numbers to trust before you change a strategy.
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Assistant
AI Assistant vs a trading bot
Decision support first. Repeat with a bot only after paper trading.
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Risk
Crypto risk management for AI-assisted traders
Position sizing, invalidation, and drawdown limits still matter when an AI model is suggesting the next trade.
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Portfolio
Crypto portfolio analytics that actually matter
Concentration, correlation, and risk-adjusted return beat a dashboard full of unused charts.
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Paper
Paper trading before live size
Copy the live rule in paper, include a quiet week, then start smaller live.
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Reports
How to use crypto backtesting and performance reports
Use CryptoCrispy performance reports to compare periods, coins, and setups without overfitting to one lucky week.
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Process
Using AI trading tools responsibly
Treat models as research assistants: review context, set limits, and keep a human decision in the loop.
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Alerts
Alerts versus signals
A price ping is not a thesis. Use alerts on invalidation and signals for setups.
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Archive
2022 long-only case study
Historical 44-day simulation on MATIC, BTC, ETH, and XRP. Limited sample, not live trading.
Read articleCompany updates
CryptoCrispy explores opportunities in the Philippines with support from the Australian Embassy
CEO Dr. Mehdi visited the Philippines to connect Australian innovators in blockchain, AI, cybersecurity, and fintech with regional industry leaders.
CryptoCrispy joins Australia’s Indonesia Landing Pad Program
Selected by the Australian Government to support market entry, mentoring, and in-market engagement with Indonesian exchanges and fund managers.
CryptoCrispy joins Australian business delegation to Vietnam
Meetings with government officials and leading companies to understand Vietnam’s AI and fintech ecosystem.
Fintech innovation unites
CryptoCrispy’s CEO presented the platform to Kampanat (Jom) Vimolnoht, Managing Director of Kasikorn X Venture Capital.
Full-featured platform launch
CryptoCrispy launched AI Portfolio, AI Bot, and AI Assistant as core product features.
Bali Bitcoin Conference
CEO Mehdi Ravanbakhsh joined industry discussions with exchanges including Pintu and Reku.
Conversation with Coinstore Community Manager
Mehdi Ravanbakhsh spoke with Juliana Kwok about community and market collaboration.
CryptoCrispy at Tech In Asia
The team represented CryptoCrispy’s AI-driven trading insights and signal tools at the conference.
Pitch day at Singapore Fintech Festival
Dr Mehdi Ravanbakhsh pitched at the Australian pavilion, supported by Austrade.
Product launch announcement
Official launch of the AI-powered data analytics platform at the Singapore Fintech Festival.
New marketing manager
Mina Fatehian joined CryptoCrispy as Digital Marketing Manager, bringing computer science, branding, and trading experience.
CEO at Singapore Fintech Festival
CryptoCrispy joined the Austrade cohort, with Dr Mehdi Ravanbakhsh presenting at the festival.