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Signal-Execution-Labs

Official

@signal-execution-labs

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2Public Repos
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45Published Skills

Offers quantitative trading infrastructure for portfolio risk management, multi-exchange order routing, and technical market analysis across crypto and traditional asset classes.

Skills Distribution
DomainBusiness, Fi...Quantitative Tradi.. (40%)Portfolio & Risk M.. (30%)Market Data & Conn.. (30%)

Agent Skills by Signal-Execution-Labs

Showing 45 vetted skills indexed across 1 GitHub repositories.

Signal-Execution-LabsSignal-Execution-Labs
125

risk-calculator

Quantify portfolio risk and guide position sizing for trading portfolios.

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Advanced
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125

ai-code-assist

Generate Pine Script strategies, indicators, and alerts from natural language prompts.

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Advanced
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125

funding-rate-arb

Automate funding rate arbitrage across perpetual futures with risk controls.

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Intermediate
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125

task-scheduler

Automate recurring trading tasks with configurable frequencies and time zones.

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Advanced
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125

Quant Engine

Simulate and backtest quantitative trading strategies across multiple assets.

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Advanced
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125

DeBank DeFi Portfolio Aggregator

Aggregate multi-chain DeFi portfolio data via the DeBank API.

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Advanced
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125

alert-system

Monitor crypto prices, volume, indicators, and news for real-time alerts.

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Intermediate
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Social Activity Feed

Aggregate on-chain wallet activity into a social-style feed with alerts.

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Advanced
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performance-report

Generate trading performance reports summarizing P&L, win rate, and insights.

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Advanced
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125

risk-ai

Monitor portfolio risk with VaR/CVaR analytics and automated hedging recommendations.

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Advanced
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125

stock-trader

Automate stock trading and portfolio management via Alpaca and Interactive Brokers.

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Intermediate
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125

Economic Calendar Trading Skill

Aggregate economic calendars from multiple sources to automate event-driven trading decisions.

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Advanced
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etoro-connector

Connect to eToro public APIs for real-time market data and portfolio analytics.

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Advanced
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binary-options

Automate CALL and PUT trades on BinaryFaster across forex, crypto, and commodities.

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Intermediate
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auto-trader

Automate crypto and forex trading with predefined strategies and risk management.

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Intermediate
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market-analysis

Analyze crypto, forex, and stock instruments with RSI, MACD, and SMA indicators.

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Intermediate
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125

Trading Competitions

Organize risk-free paper-trading competitions and leaderboards for K.I.T. users.

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Advanced
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compliance

Identify regulatory gaps and validate KYC, tax reporting, and asset restrictions for a jurisdiction.

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Advanced
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exchange-connector

Manage API keys, execute orders, stream market data, and query balances across CCXT-supported crypto exchanges.

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Intermediate
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portfolio-tracker

Aggregate crypto holdings across exchanges and compute portfolio value in USD.

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Intermediate
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125

defi-yield

Identify top DeFi yield opportunities across chains and protocols.

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Advanced
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tax-tracker

Track capital gains and automate tax reporting for crypto and other trades.

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Advanced
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defi-connector

Automate staking, lending, and yield farming across DeFi protocols.

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Advanced
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Smart Trade Skill

Automate crypto order management with multi-target take profits and dynamic stop losses.

Official
Advanced

Frequently Asked Questions About Signal-Execution-Labs

FAQPage Schema
What specific trading tasks can be managed using these capabilities?β–Ό

Users can execute cross-exchange arbitrage, manage DeFi yield farming positions, perform Wyckoff accumulation analysis, and route orders across multiple venues using configurable risk controls and stop-loss parameters.

Which personas benefit most from these financial engineering resources?β–Ό

Quantitative traders, portfolio managers, and financial engineers focused on systematic trading, risk assessment, and multi-asset market analysis will find these resources essential for scaling their trading operations.

What are the primary dependencies for integrating these trading modules?β–Ό

Integration requires active credentials for supported exchanges or brokers, such as Alpaca or Interactive Brokers, and access to historical OHLCV data feeds for backtesting and strategy validation.