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FAITER TECHNOLOGY

The technology behind the edge

Faiter’s platform is built on a foundation of institutional-grade infrastructure — real-time data pipelines, deep learning models, and sub-200ms delivery — engineered from the ground up for Indian financial markets.

AI ARCHITECTURE

Deep learning at the core

Every Faiter algorithm is built on a multi-layer neural network trained exclusively on NSE and BSE historical data — over 20 years of Indian market patterns.

NEURAL NETWORK
Multi-layer deep learning
trained on India markets
Faiter’s neural networks are trained on over 20 years of tick-level NSE and BSE data — price, volume, options chain, FII/DII flows, and macro indicators — creating models that understand the specific statistical behaviour of Indian financial markets at a level no generic global model can match.
20+
Years Training Data
500M+
Data Points
6
Core Algorithms
INPUT HIDDEN 1 HIDDEN 2 OUTPUT PREDICT DETECT VALIDATE
TECH STACK

Infrastructure built for speed & scale

Three pillars of Faiter’s technical infrastructure — AI/ML, real-time data, and delivery — each engineered for sub-200ms end-to-end performance.

🤖
AI & Machine Learning
Deep learning models trained on 20+ years of Indian market data using TensorFlow and PyTorch. Six core algorithms across prediction, detection, and validation layers with continuous model retraining.
TensorFlowPyTorchPythonLSTMTransformer
📉
Real-Time Big Data
Kafka-based real-time data pipelines ingesting tick-level data from NSE and BSE. Apache Spark for distributed computation. TimescaleDB for time-series storage with microsecond-precision queries.
Apache KafkaApache SparkTimescaleDBRedisNSE Feed
Signal Delivery
Sub-200ms signal dispatch via WebSockets and message queues. Telegram Bot API and WhatsApp Business API integration for instant multi-channel delivery with 99.9% uptime SLA.
WebSocketTelegram APIWhatsApp APIRabbitMQ<200ms
PLATFORM METRICS

Performance by the numbers

Live platform metrics demonstrating the scale and reliability of Faiter’s infrastructure.

<200ms
Signal Delivery
99.9%
Platform Uptime
500M+
Data Points Trained
20+ Yrs
Training History
DATA PIPELINE

From raw data to actionable signal

A four-stage pipeline converts live market data into a validated, confidence-scored intelligence signal in under 200 milliseconds.

faiter — signal-pipeline — live
01 — INGEST
Data Ingestion
Live tick data from NSE/BSE, options chain, FII/DII flows, and global macro feeds ingested via Kafka in real time.
02 — PROCESS
AI Processing
Six algorithms process the data simultaneously — predicting, detecting signals, and scoring confidence across multiple timeframes.
03 — VALIDATE
Consensus Validation
AI-Validator checks consensus across all active models. Only signals that pass the threshold are queued for delivery.
04 — DELIVER
Signal Delivery
Validated intelligence dispatched via Telegram, WhatsApp, and in-app push in under 200ms from initial data ingestion.

Experience the technology in action

Request a free trial and see Faiter’s algorithms and infrastructure working in real time across Indian markets.