Algo Trading

Frameworks: 10 AI prompts for finance workflows

Use these Frameworks prompts to move from a rough finance task to a clearer, copy-ready AI workflow.

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Copy-ready Frameworks finance prompts

Event-Driven vs Bar-Based Framework Architecture

Pro

Clarifies one of the most confusing framework design choices for bot builders.

ID 232
Act as a systems engineer for trading platforms. Explain the difference between event-driven and bar-based trading frameworks. Describe how each handles data flow, signals, execution, and state. Recommend which architecture fits different strategies (scalping, swing, market making, stat arb) and why choosing the wrong one breaks bots in production.

Research → Backtest → Live Pipeline Design

Beginner

Designs a clean pipeline so strategies don’t “die” when moved from research to live trading.

ID 233
Act as a production-grade trading systems designer. Design an end-to-end pipeline using a bot framework that covers: research environment backtesting module paper trading / sandbox live execution monitoring and alerts Explain how code, configs, and data flow between stages and how to avoid rewriting logic at each step.

Crypto Bot Framework Architecture (Exchange APIs, WebSockets, Risk)

Pro

Focuses on real crypto-specific challenges frameworks must handle.

ID 234
Act as a crypto trading infrastructure specialist. Design the architecture of a crypto bot framework. Cover: exchange API abstraction, WebSocket vs REST data handling, rate-limit protection, order lifecycle management, position tracking, and exchange-specific quirks. Include best practices for reliability during volatility spikes.

Multi-Strategy & Portfolio Bot Framework Design

Medium

Explains how professional frameworks run many strategies safely in parallel.

ID 235
Act as a portfolio-level algo framework designer. Design a framework that supports multiple strategies running simultaneously. Define how capital allocation, risk limits, signal conflicts, execution priority, and strategy isolation should work. Explain how failures in one strategy are prevented from crashing the entire system.

Framework-Level Risk & Safety Architecture

Medium

Moves risk control from “strategy logic” to “system-level guardrails”.

ID 236
Act as a trading risk engineer. Design framework-level safety controls independent of strategy logic. Include: max exposure rules, kill-switches, circuit breakers, exchange outage handling, and anomaly detection. Explain why system-level risk control is critical for live bots.

Short & Sharp: Bot Framework Capability Checklist

Medium

A fast way to judge whether a framework is usable or a toy.

ID 237
Create a checklist to evaluate any trading bot framework. Include must-haves for data handling, execution, risk control, testing, deployment, and monitoring. Output only bullet points.

Short & Sharp: “Why My Bot Broke in Production” Framework Diagnosis

Medium

Targets common real-world failures traders complain about on forums.

ID 238
My bot worked in backtests but failed live. List the top framework-level causes (not strategy mistakes) and one fix for each.

Short & Sharp: Cloud vs Local Bot Framework Decision

Pro

Helps decide where bots should actually run.

ID 239
Compare running trading bots locally vs in the cloud. Give a decision rule based on latency needs, reliability, cost, security, and scale. End with a clear recommendation logic.

Short & Sharp: Minimal Bot Framework Skeleton

Pro

Defines the smallest architecture that still qualifies as a real framework.

ID 240
Define the minimal components of a serious trading bot framework. List modules only (no explanations): data, signal, execution, risk, state, config, logging, monitoring.

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