r/algotrading by u/iam_warrior 252 1941y ago Leveraging AI to build a fully automated trading assistant — no human intervention needed, just monitoring. looking for feedback & ideas Hello guys,
I’ve been working on a project to build a fully **AI personal trading assistant** — something that can handle everything from **market analysis** to **risk management** and even **order execution**, all **without any human intervention**. the human only do monitoring position and reviewing performance.
I’m combining several AI techniques:
* **RAG** (Retrieval-Augmented Generation) to access real-time financial insights and news
* **LSTM** for sequential pattern recognition in historical price data and predict action **BUY**, **SELL**, and **HOLD** on the realtime market.
* **Reinforcement Learning** to make trading decisions and optimize strategy over time
* **LLMs** to interpret signals, generate reasoning steps, and explain trades in plain English
I use 62 independent features on LSTM and trained with 190k **XAU** timeframe **1H** dataset with accuracy 86% (imbalance dependent feature for **BUY**, **SELL**, **HOLD**), implemented **LSTM** model to train **Reinforcement Learning** model to predict action and use LLM to make decision based on strategy, rule, and user risk management.
My goal is to create a truly autonomous system that not only trades but also **
View parsed comments (up to 194)Open on Reddit r/algotrading by u/No_Syrup_4068 20 332mo ago 90 days live trading & 800 trades - Who is more ratinal AI Agents or Polymarket? As requested, here’s an update on our live paper trading results.
Since the last post, the main change is that MiniMax has continued to generate profits, while the other models have mostly moved sideways. Would be great to see how MiniMax 2.7 would perform (coming soon).
What we’re testing is whether AI agents are more rational than the Polymarket crowd, which is often seen as one of the most efficient sources of market-based probabilities.
So far, the results suggest a different story.
All models were able to front-run Polymarket by trading whenever the AI model’s implied odds differed by more than 15 percentage points from Polymarket’s odds.
For example:
* If the AI model estimates an outcome at 30% while Polymarket prices it at 10%, we go long yes and close the position the next day.
* For the opposite setup, we buy no.
These results may be a useful benchmark for what is currently possible with this type of trading approach.
We’ve also set up the live trading infrastructure so we can start testing this with real money on a small scale, including trading costs, to get closer to real-world conditions.
I’ll keep you posted.
Soure: [https://oraclemarkets.io/leaderboard](ht
View parsed comments (up to 33)Open on Reddit r/algotrading by u/silverous 0 102mo ago We ran 24,000+ experiments testing AI for live crypto trading. Here is what happened. We ran 24,000+ experiments testing AI for live crypto trading. Here is what happened.
We built a production-grade AI trading gate and tested whether AI could outperform rule-based execution. TLDR: it could not.
Setup:
Every trade signal passed through an AI model before execution. Each signal was enriched with market conditions, social sentiment, news relevance, trend indicators, on-chain activity, and the Fear and Greed Index.
**10 configurations tested:**
* V1-V3: Direct prompting (should we take this trade?)
* V4-V6: Structured reasoning framework
* V7-V8: Constrained output (specific fields required)
* V9: Ensemble (multiple prompts, majority vote)
* V10: ML hybrid (LLM + trained ML model)
All validated with 18 rolling walk-forward windows.
**Results:**
* Best AI config (V7): captured 82% of rule-based returns
* Worst AI config (V1): captured 61%
* AI degraded most during high-volatility periods
* Rule-based protection compliance: 100%. Best AI: 89%
**4 failure modes we identified:**
1. AI overrode protection rules when it reasoned the situation was different
2. 2-4 second latency per decision in markets that move in milliseconds
3. Same inputs produced different
View parsed comments (up to 10)Open on Reddit r/algotrading by u/silverous 0 141mo ago 🟠📝 I ran 24,000+ experiments testing AI vs rule-based systems for crypto trading. Here's what happen I ran 24,000+ experiments testing AI vs rule-based systems for crypto trading. Here's what happened.
Over the past several months, I built a production grade system to test whether AI (specifically LLMs) could improve live crypto trade execution compared to deterministic rule-based systems. The answer was unambiguous: rule-based systems won across every configuration I tested.
This is the methodology and results.
**Experiment Design**
Every trade signal generated by my strategy engine passed through an AI gate before execution. The AI received enriched data for each signal across 6 categories: current market conditions (price, volume, volatility), social sentiment scores (aggregated from X and Reddit), news headline relevance (scored for impact), trend direction indicators, on-chain activity (whale movements, exchange flows), and a Fear and Greed Index reading.
I tested 10 prompt versions in parallel against the baseline rule-based system. Same signals, same market conditions, different decision maker.
V1 through V3 used direct prompting (simple approve/reject with market data). V4 through V6 added structured reasoning (step by step analysis framework with regime assessment a
View parsed comments (up to 14)Open on Reddit r/algotrading by u/NationalIncome1706 0 333mo ago Built a multi-timeframe MACD analyzer with LLM-based signal interpretation — running it alongside my live ETH futures bot Been running a Python trading bot on Jetson Nano 24/7
for 2 years. Entry decisions are LLM-based, exits are
rule-based with trailing stop — learned the hard way
that LLM is too slow for exits.
Built this analyzer as a separate tool to visually
confirm multi-timeframe MACD alignment before entries.
Tech stack:
· Python + Streamlit
· Live Binance API (no key needed for read)
· DeepSeek for signal interpretation
· 6 timeframes: 1m · 5m · 15m · 30m · 1h · 4h
· StochRSI + Volume overlay (Pro)
Not trying to sell signals — just sharing the tool
I use for my own workflow. Free tier is fully functional.
Happy to discuss the LLM entry / rule-based exit
architecture if anyone's curious.
Link in comments.
View parsed comments (up to 33)Open on Reddit r/quant by u/StandardFeisty3336 20 243mo ago Latency arb - colocation So im working on a latency arb specifically on polymarket. Im analyzing different lags in which the signal will be delayed by to simulate different bins of pnl at different times.
My question is this: For a 1000ms delay, the pnl seems too good to be true. Do you guys agree?
It sizes 1$ per trade, so 7918 trades, 8k ish total to make this profit. It also assumes 100% fill rate ( does not happen on polymarket, around 30%).
Ive spoke with someone whos had lots of success in polymarket and they told me that the main thing that moves the needle is colocation, not language.
I also wanted to ask this: Polymarket is banned in london, but polymarket infra is inside of london. Why not use AWS (same server as polymarket) and bring your own 24 block of ips to spoof your location?
Thank you
View parsed comments (up to 24)Open on Reddit r/Polymarket by u/Equivalent_Run_6067 4 51mo ago Did you ever run a bot for Polymarket trades? I currently have a telegram bot running for getting above $20k trades, now looking to also put in money on those big trades
wanted to know if anyone here has run a bot before and what are the limitations and things to keep in mind
View parsed comments (up to 5)Open on Reddit r/options by u/Strata2021 6 195mo ago Automation for 0DTE Hello, I have a simple directional strategy for 0DTE options that seems to work on small timeframes, but I’m hitting a wall with automation.
I’ve tried TradeStation/EasyLanguage, but it's proving difficult to test because the code only runs on the specific contract chart it’s applied to. Since 0DTE requires shifting through various strikes throughout the day, I need a system that can handle backtesting more efficiently while being able to run simple signal logic and automation.
What are you guys using for 0DTE automation? I’m looking for a platform with a relatively simple UI to do this. I come from a NinjaTrader background, and this can be done easily for futures. Thanks in advance.
View parsed comments (up to 19)Open on Reddit