> For the complete documentation index, see [llms.txt](https://docs.blocklensai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.blocklensai.com/the-core/integrations.md).

# Tech Stack

Blocklens AI isn’t just another signal bot — it’s a **full AI-driven infrastructure**, designed from the ground up to process live crypto futures data, filter signals, and deliver them seamlessly to users. 

<h3 align="center"> AI &#x26; Machine Learning Layer</h3>

| Component                            | Purpose                                                                                                                                   |
| ------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------- |
| **Core Models**                      | RandomForestClassifier & XGBoost for predictive filtering                                                                                 |
| **Deep Learning Extensions**         | LSTM models for price sequence forecasting                                                                                                |
| **Pattern Recognition & Indicators** | Candlestick analysis engine (Engulfing, Doji, Hammer, etc.) + RSI, MACD, EMA Crossovers, Volume Heatmaps, Price Action Zones + AI scoring |
| **Backtesting Engine**               | Historical chart replay with statistical validation                                                                                       |

{% hint style="success" %}
This layer transforms raw charts into **actionable probability scores** so only high-confidence trades pass through.
{% endhint %}

<h3 align="center">Signal Processing Layer</h3>

| Component                | Purpose                                                       |
| ------------------------ | ------------------------------------------------------------- |
| **Confluence Engine**    | Multi-indicator + Pattern scoring system for stronger signals |
| **Leverage Auto-Adjust** | Risk-based position sizing linked to confidence score         |

{% hint style="success" %}
This ensures signals are not just technical noise but a **validated setup** traders can trust.
{% endhint %}

<h3 align="center">Infrastructure &#x26; Data Layer</h3>

| Component      | Purpose                                                            |
| -------------- | ------------------------------------------------------------------ |
| **Backend**    | Python + FastAPI orchestrates data ingestion & AI pipelines        |
| **Database**   | PostgreSQL + TimescaleDB for storing historical trades & backtests |
| **Caching**    | Redis for ultra-low latency market data processing                 |
| **Deployment** | Docker + Kubernetes for scaling across heavy trading activity      |

{% hint style="success" %}
Low latency + high scalability = AI that never sleeps.
{% endhint %}


---

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