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

$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.

$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.

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.

2. Let's make a Bitcoin Trading bot

We'll use investing-algorithm-framework in Python

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

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.

Step 5: Deploy the Trading Bot

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.

📕 Protocol from the last meeting #FED:

❗️The Fed acknowledges increased uncertainty due to the conflict in the Middle East and risks to the economy.

▫️Almost all Fed representatives supported maintaining the current rate. One participant voted for a 0.25% reduction, fearing an overly tight monetary policy and a weakening of the labor market.

▫️Inflation remains elevated. The Fed notes rising prices for energy, transportation, air tickets, and some goods due to the conflict in the Middle East and tariffs.

❗️Most Fed representatives believe that a rate hike may become necessary if inflation continues to remain consistently above 2%.

▫️The labor market remains stable, but employment growth remains weak. The Fed fears that with weak hiring, even a slight deterioration in demand could lead to an increase in unemployment.

▫️Economic activity continues to grow at a steady pace. The main drivers are consumer spending and investments in AI.

❗️Markets have shifted expectations of a rate cut to a later date. The likelihood of a rate hike in 2027 has also increased to about 30%.

▫️However, some Fed representatives allow for a rate cut later this year if inflation starts to weaken and the labor market deteriorates.

▫️Conclusion: The Fed maintains a wait-and-see position. Further decisions will depend on inflation, the labor market, and the development of the situation in the Middle East.

#WTI/USD H2 #Indicator #Signal #Trading #GlobalOneAI

#WTI/USD H2 #Indicator #Signal #Trading #GlobalOneAI

Anthropic's announced versus current computing power.

This is insane.

Anthropic uses as much electricity as some small island nations.

No wonder we're getting infinite rate limit increases right now.

40 high beta leading names trading above $100M dollar volume and all major moving averages, following the institutional money flow.

$RXO — Trucking
$SATS — Telecom Services
$SEDG — Solar
$ENPH — Solar
$TENB — Software Infrastructure
$DOCN — Software Infrastructure
$WOLF — Semiconductors
$VSH — Semiconductors
$TSEM — Semiconductors
$SMTC — Semiconductors
$RMBS — Semiconductors
$POET — Semiconductors
$NVTS — Semiconductors
$MXL — Semiconductors
$MRVL — Semiconductors
$INTC — Semiconductors
$ARM — Semiconductors
$ALAB — Semiconductors
$VG — Oil & Gas Midstream
$PUMP — Oil & Gas Equipment & Services
$RIG — Oil & Gas Drilling
$KEEL — Information Technology Services
$OSCR — Healthcare Plans
$TTMI — Electronic Components
$OUST — Electronic Components
$TE — Electrical Equipment & Parts
$FPS — Electrical Equipment & Parts
$FCEL — Electrical Equipment & Parts
$BE — Electrical Equipment & Parts
$GH — Diagnostics & Research
$IONQ — Computer Hardware
$ASTS — Communication Equipment
$PURR — Capital Markets
$MARA — Capital Markets
$CLSK — Capital Markets
$RKLB — Aerospace & Defense
$RDW — Aerospace & Defense
$PL — Aerospace & Defense
$LUNR — Aerospace & Defense
$FLY — Aerospace & Defense

🌍 Europe remains one of the world’s largest economic blocs, with a combined economy worth roughly $32 trillion.

Largest economies in Europe:
🇩🇪 Germany: $5.4T
🇬🇧 UK: $4.3T
🇫🇷 France: $3.6T
🇮🇹 Italy: $2.8T
🇷🇺 Russia: $2.7T
🇪🇸 Spain: $2.1T

Despite slower growth and energy challenges, Europe still sits at the center of global manufacturing, finance, trade, and industrial demand.

The key question now is whether Europe can remain competitive in a world increasingly shaped by cheaper energy, AI infrastructure, and geopolitical fragmentation.