The US President has instructed regulators to review the rules that prevent fintech and crypto companies from working with the traditional US financial system.
The Fed was asked to assess whether such companies could be given access to payment accounts and services of Federal Reserve Banks - that is, to the internal "rails" of bank settlements.
If access is expanded, some fintech and crypto companies will be able to rely less on intermediary banks for dollar payments. But for now, this is not an approval, but a review: the Fed must prepare a report in 120 days.
Patrick Witt: "An announcement is expected in the coming weeks"
"The work has been going on behind the scenes for a long time: the authorities have been conducting an inventory of crypto assets of various agencies, engaged in the centralization of storage and legal formalization of the reserve"
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$OKLO continues to prove why it remains one of the market’s favorite AI-energy infrastructure names.
Despite today’s pullback, the bigger picture still stands out:
• nuclear renaissance narrative
• AI electricity demand growth
• data center power infrastructure
• aggressive dip-buying behavior
Technically, the stock is attempting to stabilize after a sharp correction while still holding a much stronger long-term structure versus last year.
These high-beta leaders rarely move quietly for long once momentum returns.
Watching closely above the mid-$50s area. Opportunity is surging again
Despite today’s pullback, the bigger picture still stands out:
• nuclear renaissance narrative
• AI electricity demand growth
• data center power infrastructure
• aggressive dip-buying behavior
Technically, the stock is attempting to stabilize after a sharp correction while still holding a much stronger long-term structure versus last year.
These high-beta leaders rarely move quietly for long once momentum returns.
Watching closely above the mid-$50s area. Opportunity is surging again
🇨🇭 Global One SI - Prompt
$OKLO continues to prove why it remains one of the market’s favorite AI-energy infrastructure names. Despite today’s pullback, the bigger picture still stands out: • nuclear renaissance narrative • AI electricity demand growth • data center power infrastructure…
The interesting part about $OKLO isn’t just nuclear.
It’s the positioning around future AI infrastructure demand.
As AI compute scales globally, power generation becomes one of the biggest bottlenecks in the system.
That’s why this entire nuclear/energy theme keeps attracting capital.
It’s the positioning around future AI infrastructure demand.
As AI compute scales globally, power generation becomes one of the biggest bottlenecks in the system.
That’s why this entire nuclear/energy theme keeps attracting capital.
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Me every time I open my account and realise the market still hasn't priced in higher oil, sticky inflation and rising bond yields
🇨🇭 Global One SI - Prompt
Bridge API: The 5 Endpoints That Handle Deposits in Your Bot If your bot manages its own funding - not just trading, you need Polymarket's Bridge API Here’s the complete set of endpoints for the full deposit and withdrawal flow > Bridge API - bridge.polymarket.com…
Best Open-Source Polymarket CLOB Market Maker Right Now (Bands + Skew-Aware AMM + Real-Time Inventory Rebalancing)
It keeps your orders tightly around the midpoint at all times using intelligent quoting logic
You get two powerful strategies - classic multi-level price bands with full manual control or smart AMM that auto-corrects inventory skew and pulls opposite flow when needed
Polymarket/poly-market-maker is an automated keeper for CLOB markets. It places and cancels orders to keep open positions near the midpoint price according to one of two strategies.
> Strategy 1 Bands
Classic price bands around the midpoint. Configured via ./config/bands.json - you define the number of levels, the width of each band, and the order size per level
The keeper places multiple orders on both sides of the book at each configured level and refreshes them as the midpoint moves
Use this when you want full manual control over your quote shape
> Strategy 2: AMM
Mimics automated market maker logic. Order prices are calculated along a curve based on your current inventory
If your inventory skews to one side - say you've accumulated too many YES tokens - the bot shifts prices to attract the opposite flow and rebalance
Use this when you want the bot to manage inventory skew automatically
> Setup
• Step 1: Run ./install.sh to set up the virtual environment and install dependencies
• Step 2: Create a .env file based on .env.example
• Step 3: Set CONDITION_ID - hex condition ID of your target market
• Step 4: Set STRATEGY - "Bands" or "AMM" (case insensitive)
• Step 5: Set CONFIG - path to your strategy config file (./config/bands.json or ./config/amm.json)
• Step 6: Run ./run-local.sh or docker compose up
Repo: github.com/Polymarket/poly-market-maker
It keeps your orders tightly around the midpoint at all times using intelligent quoting logic
You get two powerful strategies - classic multi-level price bands with full manual control or smart AMM that auto-corrects inventory skew and pulls opposite flow when needed
Polymarket/poly-market-maker is an automated keeper for CLOB markets. It places and cancels orders to keep open positions near the midpoint price according to one of two strategies.
> Strategy 1 Bands
Classic price bands around the midpoint. Configured via ./config/bands.json - you define the number of levels, the width of each band, and the order size per level
The keeper places multiple orders on both sides of the book at each configured level and refreshes them as the midpoint moves
Use this when you want full manual control over your quote shape
> Strategy 2: AMM
Mimics automated market maker logic. Order prices are calculated along a curve based on your current inventory
If your inventory skews to one side - say you've accumulated too many YES tokens - the bot shifts prices to attract the opposite flow and rebalance
Use this when you want the bot to manage inventory skew automatically
> Setup
• Step 1: Run ./install.sh to set up the virtual environment and install dependencies
• Step 2: Create a .env file based on .env.example
• Step 3: Set CONDITION_ID - hex condition ID of your target market
• Step 4: Set STRATEGY - "Bands" or "AMM" (case insensitive)
• Step 5: Set CONFIG - path to your strategy config file (./config/bands.json or ./config/amm.json)
• Step 6: Run ./run-local.sh or docker compose up
Repo: github.com/Polymarket/poly-market-maker
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$TE may quietly be one of the more interesting “power bottleneck” infrastructure names tied to the AI buildout.
As AI data centers scale, electricity demand and grid pressure continue becoming major themes.
$TE sits directly inside that ecosystem through solar manufacturing infrastructure and high-throughput stringer systems supporting next-generation module production.
Meanwhile the chart continues improving:
• higher lows
• tightening structure
• rising momentum
• heavy volume expansion
• breakout pressure building near the downtrend line
The AI infrastructure trade increasingly extends far beyond semiconductors.
As AI data centers scale, electricity demand and grid pressure continue becoming major themes.
$TE sits directly inside that ecosystem through solar manufacturing infrastructure and high-throughput stringer systems supporting next-generation module production.
Meanwhile the chart continues improving:
• higher lows
• tightening structure
• rising momentum
• heavy volume expansion
• breakout pressure building near the downtrend line
The AI infrastructure trade increasingly extends far beyond semiconductors.
$SNDK remains one of the more overlooked AI infrastructure beneficiaries in the market.
Everyone focuses on GPUs…
But memory, storage bandwidth and data movement are becoming critical bottlenecks as AI models scale.
That’s why names tied to high-performance memory infrastructure continue attracting attention.
Technically, $SNDK still looks structurally strong on the higher timeframe despite the recent pullback:
• strong long-term uptrend
• elevated OBV
• institutional-style accumulation
• momentum reset after a major run
AI infrastructure is becoming far more than just a chip story.
Everyone focuses on GPUs…
But memory, storage bandwidth and data movement are becoming critical bottlenecks as AI models scale.
That’s why names tied to high-performance memory infrastructure continue attracting attention.
Technically, $SNDK still looks structurally strong on the higher timeframe despite the recent pullback:
• strong long-term uptrend
• elevated OBV
• institutional-style accumulation
• momentum reset after a major run
AI infrastructure is becoming far more than just a chip story.
🇨🇭 Global One SI - Prompt
Automate your trading strategies in Python How to build your first trading bot: (a thread)
1. What is a trading bot?
A trading bot is a software program that automates buying and selling financial assets like stocks and cryptocurrencies based on pre-defined strategies and rules.
These automated systems can manage portfolios without human intervention, operating 24/7.
A trading bot is a software program that automates buying and selling financial assets like stocks and cryptocurrencies based on pre-defined strategies and rules.
These automated systems can manage portfolios without human intervention, operating 24/7.
🇨🇭 Global One SI - Prompt
1. What is a trading bot? A trading bot is a software program that automates buying and selling financial assets like stocks and cryptocurrencies based on pre-defined strategies and rules. These automated systems can manage portfolios without human intervention…
2. Let's make a Bitcoin Trading bot
We'll use investing-algorithm-framework in Python
We'll use investing-algorithm-framework in Python
🇨🇭 Global One SI - Prompt
Automate your trading strategies in Python How to build your first trading bot: (a thread)
Step 1: Setup
We need to specify how often our trading bot runs and which market data it's going to use
We need to specify how often our trading bot runs and which market data it's going to use
🇨🇭 Global One SI - Prompt
Step 1: Setup We need to specify how often our trading bot runs and which market data it's going to use
Step 2: Trading Strategy
We will implement a simple strategy that buys Bitcoin when there is a golden cross between a fast and slow-moving average
We will implement a simple strategy that buys Bitcoin when there is a golden cross between a fast and slow-moving average
🇨🇭 Global One SI - Prompt
Step 2: Trading Strategy We will implement a simple strategy that buys Bitcoin when there is a golden cross between a fast and slow-moving average
Step 3: Backtest the Strategy
Now that we have implemented our trading strategy, we can test it. To test our strategy, we will use the backtesting functionality of the investing algorithm framework.
Now that we have implemented our trading strategy, we can test it. To test our strategy, we will use the backtesting functionality of the investing algorithm framework.
🇨🇭 Global One SI - Prompt
Step 3: Backtest the Strategy Now that we have implemented our trading strategy, we can test it. To test our strategy, we will use the backtesting functionality of the investing algorithm framework.
Step 4: Analyze the Backtest Results
This trading strategy is profitable with a growth rate of 17% on its closed trades.
This trading strategy is profitable with a growth rate of 17% on its closed trades.
🇨🇭 Global One SI - Prompt
Step 4: Analyze the Backtest Results This trading strategy is profitable with a growth rate of 17% on its closed trades.
Step 5: Deploy the Trading Bot
Once we have found a profitable trading strategy, we can deploy the trading app in the cloud.
Once we have found a profitable trading strategy, we can deploy the trading app in the cloud.
$JDZG continues evolving exactly how these tiny-float recovery structures usually do once momentum returns.
A few days ago this was still considered “dead money.”
Now:
• breakout structure expanding
• volume increasing again
• OBV continuing higher
• momentum firmly shifted
• higher lows building cleanly
The interesting part about ultra-small caps is simple:
they don’t need much attention to move aggressively once liquidity returns.
Still watching closely above the $3 area.
A few days ago this was still considered “dead money.”
Now:
• breakout structure expanding
• volume increasing again
• OBV continuing higher
• momentum firmly shifted
• higher lows building cleanly
The interesting part about ultra-small caps is simple:
they don’t need much attention to move aggressively once liquidity returns.
Still watching closely above the $3 area.