1. Market Environment in 2026: Three Tectonic Shifts
As of January 2026, the crypto asset (cryptocurrency) market stands at an unprecedented crossroads. Beyond Bitcoins halving cycle, what drives the market is no longer expectations but real demand.
1) Japan’s Tax Reform Debate: Toward Separate Self-Assessment Taxation
In December 2025, the ruling government parties presented a historic policy direction regarding crypto asset taxation.
[”!IMPORTANT”] Key Points of the Tax Reform (Discussion Stage)
- Shift from miscellaneous income to “separate self-assessment taxation (about 20%).”
- Consideration of loss carryforwards.
- This could remove the “55% tax rate” wall when large profits are realized.
Implementation is said to target 2028, but it has already become a dramatic factor in investor sentiment for 2026 and beyond.
2) AI x Blockchain: Explosive Growth of Decentralized AI
From the second half of 2025, projects that decentralize AI compute resources and data grew rapidly. These “AI tokens” are an essential presence in 2026 portfolios.
3) Democratization of Automated Trading
With advances in LLMs (large language models), even beginner programmers can now build sophisticated trading bots in Python.
2. Sectors and Tokens to Watch in 2026
Not just buzzwords; these are carefully selected infrastructure tokens that are already running.
- Bittensor (TAO) : The leader of decentralized machine learning networks. It has 128 subnets and aggregates GPU resources worldwide.
- NEAR Protocol : Promotes chain abstraction and has established itself as the easiest L1 for AI agents to use.
- Render (RENDER) : A GPU rendering marketplace that moves in tandem with NVIDIA cycles.
- Ondo Finance (ONDO) : A destination for institutional inflows, such as tokenized U.S. Treasuries.
- Pendle (PENDLE) : Advanced yield strategies through tokenized income.
3. Start “Winning” Automated Trading with Python
Trading in 2026 is not physical labor spent staring at charts 24/7. This is the era of letting AI monitor and programs execute.
Basic Price Alert Bot
Below is an example of a simple price monitoring program using the CCXT library.
import ccxt
import time
exchange = ccxt.binance()
symbol = "BTC/USDT"
def monitor_price():
while True:
ticker = exchange.fetch_ticker(symbol)
price = ticker["last"]
print(f"Current {symbol} Price: ${price}")
if price > 110000: # Set target price
print("Target Hit! Alerting...")
# Add notification logic for LINE or Discord here
break
time.sleep(60)
monitor_price()
4. How to Identify Reliable Information
When speculative frenzy rises, “scams” inevitably increase. Be especially cautious of fake projects that claim to be AI-related.
[!WARNING] Red Flag Checklist
- The GitHub repository has not been updated for a long time.
- The whitepaper is copy-pasted from other projects, or it is LLM-generated with no concrete details.
- Claims unrealistic returns such as “100% monthly profit.”
5. Recommended Learning Resources
To deepen your understanding systematically, ‘the following books are recommended.
The World's Easiest Crypto and Bitcoin Textbook: Year 1
System Trading with Python 3
6. Summary: The 2026 Investment Roadmap
2026 is the year when “those who learn” and “those who build systems” win.
Step 1: Update Your Knowledge
Understand the direction of tax reform and the basics of AI tokens (TAO and more).
Step 2: Set Up the Environment
Install Python and connect APIs with libraries such as CCXT.
Step 3: Automate with Small Amounts
Start rule-based trading that removes emotion, and gradually introduce AI agents.
The best way to predict the future is to create it yourself. Start your new investment strategy in the 2026 crypto asset market.






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