{quote}Thank you
You want an AI that:
- Can learn on its own from historical price data (OHLCV, indicators, maybe news).
- Can generalize patterns and make predictions on instruments and timeframes without you manually labeling or training it.
- Is self-sufficient, not just using a model you trained yourself.
This is what people call “unsupervised” or “self-learning AI” in trading, and yes, some advanced firms and researchers work on it. But in practice, it’s extremely hard, and here’s why:
2. The core problem
- Financial markets are noisy and mostly non-stationary. Patterns that existed yesterday often vanish tomorrow.
- Any AI, no matter how sophisticated, will only ever detect statistical tendencies — not guaranteed outcomes.
- Even AI models trained on millions of bars of historical data often fail to generalize reliably to unseen future price action.
So there’s no publicly available AI that can consistently “learn on its own” and reliably predict market prices. Most commercial products that claim to do this are overhyped or outright scams.
3. What people do in reality
- Algorithmic trading firms / quant funds
- Use massive datasets (multi-year price data, order book data, news, sentiment).
- Use deep reinforcement learning, LSTMs, Transformers, etc.
- Continuously retrain models and adapt to changing markets.
- Require huge compute resources, professional data pipelines, and teams of quants.
- Retail solutions / MT4 AI plugins
- Most indicators claiming “AI predictions” are actually:
- Pretrained ML models on historical price data.
- Rule-based systems with machine learning elements.
- Backtested strategies that work in sample but fail in live trading.
- Most indicators claiming “AI predictions” are actually:
- Self-learning AI in MT4
- Technically possible to implement reinforcement learning in Python and connect it via MT4 WebRequest.
- But you’ll run into major limitations:
- MT4 only provides the bar data you feed it — not full market microstructure.
- Real-time self-learning AI often needs tick-level data and massive storage.
- Training and exploration in live trading can lose real money quickly if not carefully simulated.
4. Key takeaway
- There are no “magic AI bots” that can just connect to MT4 and predict reliably.
- Anything that promises this for retail traders is almost certainly a scam or severely overhyped.
- AI in trading is supportive, not predictive: it can:
- Highlight statistical tendencies.
- Optimize strategy parameters.
- Detect anomalies.
- You cannot fully outsource the intelligence to a model unless you’re willing to run a professional-scale system like a hedge fund does.
5. What you can do
- Build a data-driven indicator/EA that:
- Learns patterns over historical data.
- Provides probabilistic signals, not deterministic predictions.
- Can be backtested extensively in MT4/MT5.
- Integrate external ML models for research or analysis without expecting them to be self-sufficient.
(This means that we need to train the AI by ourselves, so the AI will never be better than what we can train it!)
Bottom line:
Your intuition is correct — self-learning AI that reliably predicts prices from MT4 data does not exist for retail traders. At best, AI can analyze probabilities and support your decisions, but it cannot replace your judgment or magically predict the future.
