null

Hello my friends!

[null @pham_jarvis]

@RemixGG_ When are you guys actually going to launch the TGE? Are you seriously trying to scam us? We’ve been waiting long enough.

[null @pham_jarvis]

@RemixGG_ @SamSteffanina Went tge sir?

[null @pham_jarvis]

@RemixGG_ Tge please

[Lorden @lorden_eth]

Is $1.7M enough to log-off Polymarket forever?

#3 crypto trader stopped trading on the 4th of April

profile: https://t.co/6CKW2NwUGI

over 40k people are trying to snip his entry

he made $600k monthly and about $70k weekly

very few people will make this amount in their lifetime

article says a bit about how to retire using prediction markets

[gemchanger @gemchange_ltd]

People work 9 to 5 to make what this bot makes before breakfast

What does $9,143 in ONE DAY look like?

Scroll through ohanism's profile and find out

This bot has made 91,000 bets since February

NINETY ONE THOUSAND

It trades 5/15min Markets

This is what happens when someone builds a machine specifically designed to beat prediction markets

It finds the edge, calculates the probability, and fires

Polymarket made this possible

Open markets, on-chain transparency, no gatekeepers

Just pure competition between code and conviction

74,000 people already saw this bot's profile
https://t.co/8CSvrxr3Lc

[爱丽丝呀！ @BTCqzy1]

美股研究开源神器来了！专攻美股金融研究的自主 Agent！

你不再需要自己手动拉财报、翻 10-K / 10-Q / 8-K，或者写一堆分析脚本。

只需要用大白话说一句研究想法，这个自主金融研究 Agent 就自动帮你把所有事干完。

它就是Dexter（GitHub 25k+ stars）

核心优势有以下几点：
· 自主规划 + 执行：输入复杂问题，它会自动拆成多个研究步骤，调用对应工具和数据源
· 自我校验：结果不够完整时，会继续补数据、修正逻辑，显著降低幻觉风��
· 完整思考日志（scratchpad）：每一步调用了什么工具、拿了什么数据、怎么分析的，全都透明记录
· 多模型支持：OpenAI、Anthropic、Grok、Gemini、OpenRouter、本地 Ollama 都能接
· 金融数据能力强：支持财务报表、股价快照、历史价格、SEC filings、earnings call、8-K、key ratios 等
· 本地轻量运行：用 Bun 安装后就能跑，适合自己搭一个专属美股研究 Agent

专为美股金融研究打造，深度支持美股（Financial Datasets + Yahoo Finance 提供机构级财报、earnings call、历史数据，覆盖非常丝滑）。

GitHub：https://t.co/f7EpYZi0R5

感兴趣的朋友们可以直接 clone 跑起来试试～

DYOR～

[Alex @de1lymoon]

https://t.co/hjQl8TpVS3

[Bober_smart @Bober_smart]

Win 98% of the time on Polymarket

> Trading is math, not chance

Formulas that top traders won't tell you about-it’s profitable for them that you remain exit liquidity

1. Poisson Distribution > P(k) = (λ^k * e^-λ) / k!

Helps correctly assess the probability of rare events that the market usually undervalues (especially "YES" on low prices)

2. Shannon Entropy > H = -[p log2(p) + (1-p) log2(1-p)]

Measures uncertainty in the market and edge (via KL-divergence). Also helps detect insiders-when entropy drops sharply without news

3. Fat Tails > P(X > x) = C * x^(-α)

The formula is needed to avoid going bankrupt at the moment when the market behaves "impossibly" according to ordinary mathematics

Tired of losing? Want to start trading successfully? Bookmark this

[Alter Ego @AlterEgo_eth]

Half the broken Polymarket bots I've seen fail because the dev used the wrong API for the wrong job

Gamma API and CLOB API are two completely different layers

Here's exactly what each one does -and how to connect them correctly in your bot

> Gamma API - market discovery

Public. No auth required. No wallet needed

This is where you find markets, read prices, get metadata. Key endpoints:

• GET https://t.co/dn0Fcu4nLH{conditionId} - single market details (recommended, returns object)
• GET https://t.co/QHDDWwQoKC{conditionId} - market details (returns array)
• GET https://t.co/MxtlxwHgEP{slug} - event by slug + all markets inside
• GET https://t.co/MNdCT1D3uk{slug} - direct event access (even cleaner)
• GET https://t.co/w7PTb4hchD{id}&active=true - active markets by category
• GET https://t.co/MK09YojAJH{query} - market search (use q= only)

Most important field in the response:

clobTokenIds[] - array of two token IDs
clobTokenIds[0] = YES token
clobTokenIds[1] = NO token

These are your bridge to trading

> CLOB API - trade execution

• GET https://t.co/fdIBKO2cqu{id} - live order book
• GET https://t.co/2J0T3T3Jv6{id}&side=buy - best available price
• GET https://t.co/uskwOnKh2g{id} - midpoint price
• GET https://t.co/kXF8kHrYhq{id} - spread
• GET https://t.co/E7wMbTiKbd{id} - last trade price
• GET https://t.co/NUYpm82qLd{id} - fee rate
• GET https://t.co/ddDKp9kOgN{id} - tick size
• GET https://t.co/slW8QZX4vP - server time (for nonce)

Only trading endpoints require auth (POST /order, cancels, etc.)

> Correct two-step flow

# Step 1: Gamma - get metadata + token IDs

r = requests.get(f"https://t.co/ebsNZIqi26{market_condition_id}")
data = r.json()
token_id_yes = data["clobTokenIds"][0]

# Step 2: CLOB - read endpoints work without auth

price_resp = requests.get(f"https://t.co/zdJP60fRTd{token_id_yes}&side=buy")
price = float(price_resp.json()["price"])

You cannot place orders with conditionId. CLOB only understands token_id.

> Right bot architecture:

Gamma for discovery → CLOB for execution (and now all market data reads are public)

If your bot is broken = 90% of the time you’re either hitting the wrong endpoint on Gamma or using outdated assumptions about CLOB auth

Save this - it’s 100% synced with official docs

[Alter Ego @AlterEgo_eth]

5 GitHub Repos That Cover 90% of Building Your Own Polymarket Trading Bot

Each of them closes a major piece of the stack - from market discovery to execution, logging, and performance analysis

Instead of building everything from scratch, you can take these five repos and significantly speed up your bot development

1. Trade execution - Polymarket/py-clob-client

The official Python SDK from Polymarket itself.CLOB API connection, order placement, order book fetching, WebSocket subscriptions - all in one package

Installs with a single command: pip install py-clob-client

This is the foundation of any bot - there's no getting around it

GitHub: https://t.co/EnMpyo922v

2. Market discovery and all APIs in one -HuakunShen/polymarket-kit

A fully typed SDK that covers all three Polymarket APIs at once.

GammaSDK - find markets, filter by volume, category, closing date. No auth required.DataSDK - pull positions and trade history for any wallet

WebSocketClient - subscribe to live order book updates

Works in both TypeScript and Python, OpenAPI schema included

Instead of three separate clients - one package that covers everything except trade execution

GitHub: https://t.co/yIMcP7kYFM

3. Trading logic - Polymarket/agents

The official repo with trading agent examples from the Polymarket team.

Shows how to properly connect market discovery, data analysis, and trade execution into a single workflow.

Use it as an architectural template - plug in your own strategy where the default one sits.

The best starting point if you want to build from scratch rather than copy someone else's bot.

GitHub: https://t.co/xP4IqxkgMQ

4. Position monitoring - warproxxx/poly_data

A data pipeline that collects the full trade and position history from Polymarket

Connect it to your bot to log every trade in a structured format

A ready-made data snapshot is available to download immediately - no need to wait for your own history to accumulate

Ideal for analyzing bot performance and finding patterns through AI

GitHub: https://t.co/vo52jpWoBP

5. Analytics — leolopez007/polymarket-trade-tracker

A web tool for analyzing trades from any Polymarket wallet

Paste your bot's address - get a full breakdown: PnL, win rate, Maker/Taker roles, cumulative PnL over time

Export everything to JSON - feed it to AI and let it find the weak spots in your strategy

Use it after every week of trading to understand what's working and what isn't

GitHub: https://t.co/9x6lcSZPH1

Here's how it all connects:

• polymarket-kit finds the market
• py-clob-client executes the trade
• agents holds it all together
• poly_data logs the history
• trade-tracker analyzes the result.

Five repos - the full cycle of a trading bot

[Ninedol @ninedol]

5 free repositories for sentiment analysis and news trading on Polymarket

From simple solutions for beginners to more complex quantitative systems and automated strategies.

1. ent0n29/polybot

An advanced arbitrage infrastructure for Polymarket.

Uses Kafka, ClickHouse and Grafana.
Features a complete arbitrage suite and a paper trading mode.

More akin to a trading firm’s infrastructure than a standard bot.

GitHub: https://t.co/d9xw463Es0

2. echandsome/Polymarket-betting-bot

A copy trading bot focused on profitable wallets.

Supports adjustable copy ratios, encrypted keys and odds-based strategies.
Built on MongoDB and Node.js.

Instead of searching for an edge yourself, you can simply copy those who already have one.

GitHub: https://t.co/Et8seBMjw6

3. Polymarket/poly-market-maker

The official market-making bot from Polymarket itself.

Supports AMM and band strategies.
Runs via Docker Compose and is used as a reference bot for liquidity strategies.

A good option for those who want to understand how professional market-making systems work.

GitHub: https://t.co/DecEG6QuC9

4. realfishsam/prediction-market-arbitrage-bot

An arbitrage bot for Polymarket and Kalshi.

Supports dry-run mode and simultaneous order execution.
Features conservative and aggressive trading modes.

Designed to identify price inefficiencies between prediction markets.

GitHub: https://t.co/9n7odMuKgL

5. Drakkar-Software/OctoBot-Prediction-Market

A fully-fledged prediction market trading framework.

Features copy trading, self-custody and a visual dashboard for managing strategies.

Feels more like a ready-made trading terminal than just another script.

GitHub: https://t.co/2iwAfsbQNr

While some are still trading manually and on emotion, others have long since automated everything.

Today, the advantage lies not in the information itself, but in speed, systematic approach and consistency.

[Bill The Investor @billtheinvestor]

有人开发了一个用于比较交易策略的 Python 框架，然后将一切都开源了：

[Tom Dörr @tom_doerr]

Multi-strategy prediction market trading bot

https://t.co/Dpc5Q23f8V

[Eternal  @Eternals_io]

Vãi thật không online có tí mà miss ngay con $Archange ngay được

Pump từ cap 3k lên cap 1m6 tính ra hơn x500 luôn

[そう｜Claude CodeのX運用で月800万インプ @so_ainsight]

寝てる間も稼ぎ続けるGitHubリポジトリ10選：

1. AutoHedge
AIエージェントが市場分析からトレード実行まで全自動。数分で自分専用の自律型ヘッジファンドが作れる。
https://t.co/o0w4RFVdQp

2. Vibe-Trading
自然言語で取引戦略を指示できる個人用AIトレーディングエージェント。29の専門チームが分析から実��まで動く。
https://t.co/sNrgblv8e2

3. Claude Ads
Google・Meta・YouTube・TikTokなど7媒体の広告を250以上の観点でAI監査。広告費のムダを最大35%削減できる。
https://t.co/vG0kAnudwD

4. Toprank
Search ConsoleとGoogle Adsに直接アクセスし、トラフィック低下の原因を診断して修正案まで出してくれるSEOツール。
https://t.co/47PcFuXsfF

5. Fincept Terminal
Bloombergのオープンソース代替。37のAIエージェントが市場分析・投資調査を無料で担ってくれる。
https://t.co/m8rRo1vvQc

6. Agentic Inbox
Cloudflare Workers上で動く自己ホスト型AIメールエージェント。受信→分類→下書き作成まで自動。送信前に確認できる。
https://t.co/nd8rFqQGm9

7. ClawRouter
41以上のLLMモデルを1ms以下でルーティング��AIのAPI費用を最大92%削減できる。
https://t.co/hAZGZl1ZAE

8. Camofox Browser
AIエージェント向けのアンチ検出ブラウザ。Webスクレイピングや自動化でブロックされなくなる。
https://t.co/MYnUuRaOWC

9. Open Higgsfield AI
Higgsfield・Krea・Freepik AIなど複数サービスの無料オープンソース代替。200以上のモデルでフィルターなしの画像・動画生成が使える。
https://t.co/xaiWWxrIho

10. Hyperframes
HTMLを書くだけで動画をレンダリングできるフレームワーク。エージェントとの連携に最適。
https://t.co/vSJhdJX4df

保存して後で使いこなして。

[Ricker @0xRicker]

This HFT bot prints $14K/day almost 30 days in a row with one trade every 1.7 minutes

He trades 5 assets at once and made $417,202 last month alone

The strategy is stupid simple:

The bot scans 5-minute Up/Down windows across five crypto assets in parallel

It enters when the market prices a directional event well below fair value - anywhere from 20¢ to 96¢

And holds to resolution at 100¢

Fastest way to copy-trade him even with $10 using: https://t.co/7qw0SmTB5j

One trade every 1.7 minutes. 24 hours a day

Portfolio variance drops by 55% compared to single-asset. Same expected return

0.033% mean return per trade × 18,207 trades × continuous reinvestment = ×83 in 30 days

Profile: https://t.co/plBSIUrUHP

[Yarchi @undefinedKi]

These 3 wallets are destroying weather markets right now

The edge is simple

Weather markets resolve from a specific airport station

There's a lag between the raw data and the market price

Specialists enter at 1-5¢ before the market catches up, and ride to $1

You don't need to learn any of this. Just copy the specialists already doing it:

BeefSlayer. $62k PnL across 1,593 predictions. Sniping 2-5¢ entries on US city temperature brackets and riding them to $1
Profile > https://t.co/o1kmElHSCd

wegotit2green. $20k PnL in 2 months. Clean chart straight up. London, Seoul, NYC, Dallas. Every position wins
Profile > https://t.co/mPju6gZWnA

dpnd. $25k PnL, 17,321 predictions. Global coverage: Seoul, Moscow, Shanghai, Chongqing, London. Enters at 1-5¢ on narrow temperature bands
Profile > https://t.co/miOPeFrL7p

Copy any of them on kreo: https://t.co/osgWasyawP

[Shopify @Shopify]

the Shopify AI Toolkit is here

manage your store with your favorite agent

Claude Code, Codex, Cursor, VS Code, and more