The Hedgtrade Platform
Deterministic risk signals with fully explainable context — delivered in highly visual dashboards, via API, and through Trader GPT (incl. mobile).
- 2,600+ instruments across asset classes
- 1H / 1D / 1W / 1M multi-timeframe signals
- Email · Dashboards · API delivery
- API (C#, REST web services)
- Minutes to first insights
What you can do
- Rank universes with confidence-weighted signals
- Identify tradable edges using a cohort of quant models
- Get explainable drivers for review, alpha generation, and drawdown control
- Automate via API — or ask Trader GPT
Key Capabilities
Deterministic Risk Signals
Trend, momentum, reversal & risk signals across timeframes — each with confidence, strength, and timestamps.
Cycles, Regression, Elliott Wave, Seasonality
Historical cohort analysis to quantify recurring patterns and quantitative effects with robust statistics.
Explainability
Feature attributions and key drivers accompany responses for transparent committee review.
Trader GPT
Conversational layer to query instruments, compare, or generate trade checklists aligned to policy.
Dashboards
Operational, visual views for risk signals — with export and email alerting workflows.
Institutional API
Low-latency web services, scoped keys, and per-key quotas.
Platform Architecture
What the diagram shows
- Data Sources: market & fundamental data, research/news, and visual/chart inputs.
- Engines: ML/AI, Cycle Regression AI, HT Risk Engine, Visual AI, and Gen-AI summarization/classification.
- Unification: Outputs flow into the HT LLM for reasoning and narrative context.
- Products: surfaced in Dashboards, Trader GPT, and the Institutional API.
How It Works
1) Ingest & Normalize
We reconcile symbols across many data sources and normalize inputs for multi-asset analysis (equities, indices, FX, ETFs, etc.).
2) Model & Explain
ML/AI plus cycles, Elliott Wave, seasonality, liquidity, and regression produce deterministic risk signals with confidence and drivers.
3) Deliver & Automate
Consume via dashboards, API, or Trader GPT. Email alerts & notifications and exports support operations.
Quant Models & Metrics
Complete catalog of models, indicators, and risk metrics referenced in the dashboard output.
Technical & Quant Indicators
- Trading Zone (24-indicator aggregation)
- Multi-Timeframe Alignment (1H / 1D / 1W)
- RSI (Relative Strength Index)
- Momentum
- SMA (Simple Moving Average)
- WMA (Weighted Moving Average)
- VWAP (Volume-Weighted Average Price)
- BB Model (Bollinger Bands)
- ATR (Average True Range)
- MACD (Moving Average Convergence Divergence)
- CRSI (Connors RSI)
- Technicals (composite)
- Score Ratio (equity curve scoring)
- 9/13 Count
Cycles & Seasonality
- SMA.Cycle
- Shift.Cycle
- Yield Cycle
- 10Y USO.Cycle
- 40Y.Cycle
- Cyclical.RSI
- Seasonality.AGG
- Seasonality.DoM (Day-of-Month)
- Seasonality.VIX
- Seasonality.IDX
- Dominant Seasonality
- Aggregated Seasonality
- Harmonic Cycles (SMA / Shift)
Risk & Market Structure
- Risk Exposure %
- Value at Risk (VaR)
- Position Size / Risk per Trade
- Stop Loss / Risk-Reward Ratio
- Support & Resistance Levels
- Order Book / OrderBook.AGG / OrderBook.50
- Smart Money Signal
- Intraday Bias
Macro & Sentiment
- Liquidity
- Commitment (COT positioning)
- Breadth / Sentiment
- AAII Sentiment
- Unemployment
- LEI (Leading Economic Index)
- Consumer Metrics
- Credit Condition
Pattern & Scenario Models
- Elliott Wave Counts (multi-timeframe)
- Fibonacci Retracements (23.6%, 38.2%, 50%, 61.8%, 138.2%, 161.8%)
- Trading Scenarios (bullish/bearish probability weighting)
DISCLAIMER
Hedgtrade provides market intelligence and analytical tools for informational purposes only. We do not execute trades or provide personalized investment advice.
All users are responsible for their own trading decisions and must comply with applicable regulations in their jurisdiction.