dr-manhattan

Unverified Arbitrage strategy on Crypto by guzus. BotFinder score 18 out of 100.

CCXT for prediction markets · #1 Open Source for Market-making, Trading, Data Analysis on Polymarket & Kalshi & Limitless & Opinion & Predictfun & etc

Source: github

Explorer/Crypto/dr-manhattan
18
Data index
CryptoArbitrageMedium risk⚠ UnverifiedNEW

dr-manhattan

guzusGitHub
From
Free
Get this bot
Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
0.9y
BotFinder Analysis

BotFinder analysis pending.

About

dr-manhattan

dr-manhattan CCXT-style unified API for prediction markets. Simple, scalable, and easy to extend. Architecture dr-manhattan provides a unified interface to interact with multiple prediction market platforms, similar to how CCXT works for cryptocurrency exchanges. Core Components Design Principles 1. Unified Interface: All exchanges implement the same Exchange base class 2. Scalability: Adding new exchanges is straightforward - just implement the abstract methods 3. Simplicity: Clean abstractions with minimal dependencies 4. Type Safety: Full type hints throughout Key Features - Fetch markets and market data - Create and cancel orders - Query positions and balances - WebSocket support for real-time data - Strategy base class for building trading strategies - Order tracking and event logging - Standardized error handling - Exchange-agnostic code - MCP server for Claude Desktop integration Installation Usage Basic Usage (Public API) Advanced Usage (With Authentication) Using the Strategy Base Class Exchange Factory Use predictfun with createexchange() and CLI examples. The low-level Pre

Jupyter NotebookOpen-sourcearbitragekalshilimitlessmarket-makingopinionpolymarketprediction-markets
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

Reviews

Reviews & comments

No reviews collected from the source yet.

Live monitoring

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
guzus
Since 2020 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars204
Forks35
Open issues27
LanguageJupyter Notebook
License—
Last update2026-07-18
Created2025-10-25
Website
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