Veldora Screener

Published on 18 February 2026 at 13:26

Are you tired of months of frustration with paid screeners that show stale data, hide key indicators behind subscriptions, and make you create yet another account? #Veldora

Click the images to enlarge

Product Overview

Product Name: Veldora Trading Screener
Product Type: Multi-Asset Market Scanning & Signal Intelligence Platform
Target Users:

  • Active Traders

  • Swing Traders

  • Momentum Traders

  • Portfolio Managers

  • Trading Educators

  • Quant Researchers

Purpose:
Veldora Trading Screener is a real-time, multi-asset scanning platform designed to identify high-probability trading opportunities using a hybrid model of technical indicators, volatility analytics, liquidity filters, sentiment data, and performance metrics.

Product Objectives

 

  • Provide institutional-style screening across multiple markets.

  • Deliver actionable BUY / SELL / HOLD signals.

  • Enable advanced filtering using technical, fundamental, and volatility metrics.

  • Support real-time multi-market data processing.

  • Offer exportable and persistent user workflows (watchlist, CSV export).

 

 

Supported Markets

The platform supports multiple asset classes:

  • Stocks

  • Cryptocurrency

  • Forex

  • Indices

  • Commodities

Each market operates within a unified scanning engine but may apply asset-specific filters (e.g., fundamentals for stocks).

Function Models

Market Selection Module

Users can switch between asset classes:

  • Stocks

  • Crypto

  • Forex

  • Indices

  • Commodities

Each tab dynamically:

  • Updates instrument count

  • Adjusts filter applicability

  • Reloads dataset


Filter Engine

The filter system is modular and grouped into logical categories.


A. Price & Volume Filters

 

FilterTypeDescriptionPrice RangeMin/Max InputFilters instruments within selected price bounds24H Change %Min/Max InputFilters based on daily % movementVolume (Min)Numeric InputMinimum trading volume thresholdVolume vs AverageDropdownCompares current volume to historical average (Above, 2x, 3x, Below)ATR RangeMin/Max InputFilters by Average True Range

 


B. Technical Indicator Filters

 

FilterTypeDescriptionRSI (14) RangeMin/Max InputSelects RSI bandRSI ZoneToggleOversold / Neutral / OverboughtADXSort MetricUsed for trend strength rankingMomentumSort MetricInternal strength scoring

 


C. Volatility & Performance Filters

 

FilterTypeDescriptionVolatility LevelDropdownLow / Medium / High / ExtremeSharpe Ratio (Min)Numeric InputRisk-adjusted return thresholdMax Drawdown %Min/Max InputHistorical downside constraint

 


D. Fundamental Filters (Stocks)

 

FilterTypeDescriptionDividend %Min/MaxYield-based filteringProfit Margin %Min/MaxProfitability screeningMarket CapCategory DropdownMega → Micro cap segmentationDebt/EquityCategory DropdownLeverage classificationBetaMin/MaxMarket sensitivity

 


E. Sentiment Filters

 

FilterTypeDescriptionShort Interest %Category DropdownCrowd positioning signalInsider SentimentDropdownNet Buying / Selling / Neutral

 

.

Signal Classification Engine

Each instrument is classified into:

  • BUY

  • SELL

  • HOLD

Signal logic is derived from:

  • RSI

  • ADX

  • Momentum score

  • Possibly volatility and trend alignment

Signals are visually coded:

  • Green → BUY

  • Red → SELL

  • Yellow → HOLD

Results Engine

Summary Strip

Displays:

  • Total Results

  • Buy Signals

  • Sell Signals


Sorting Engine

Supported sorting metrics:

  • Change %

  • Price

  • RSI

  • Volume

  • Momentum

  • Market Cap

  • ADX


Search

  • Symbol-based quick filtering

  • Real-time input filtering


Pagination

  • 20 / 50 / 100 per page

  • Dynamic page compression

  • Smooth scroll on page change


Export

  • CSV Export of filtered results

Watchlist Module

 

  • Add/remove instrument

  • Stored in browser localStorage

  • Persistent between sessions

  • Re-renders dynamically

 

Performance Considerations

  • Client-side filtering

  • Efficient sorting algorithm

  • Modular state management

  • Minimal API call frequency

  • Responsive pagination handling

Competitive Positioning

Veldora Trading Screener differentiates by:

  1. Multi-asset scanning in one interface

  2. Combining technical + volatility + fundamentals

  3. Built-in signal classification

  4. Performance metrics (Sharpe, Drawdown)

  5. Sentiment integration

  6. Professional UX presentation

It bridges:
Retail Scanner → Institutional Logic

Tell me more

1. The Problem

Retail and semi-professional traders face three core problems:

  1. Fragmented tools – Technical analysis, fundamentals, sentiment, and volatility are spread across multiple platforms.

  2. Information overload – Traders struggle to filter thousands of instruments efficiently.

  3. Lack of actionable signals – Most screeners show data, not structured decision intelligence.

Existing platforms either:

  • Focus only on charting

  • Focus only on fundamentals

  • Or charge institutional pricing

There is a gap between retail tools and institutional-level intelligence systems.


2. The Solution

Veldora Trading Screener is a multi-asset, intelligence-driven scanning platform that consolidates:

  • Technical indicators

  • Volatility analytics

  • Liquidity filters

  • Risk-adjusted performance metrics

  • Sentiment data

  • Structured BUY / SELL / HOLD signal classification

All in a unified professional interface.

It transforms raw market data into structured, actionable decision layers.


3. Product Differentiation

Unlike traditional screeners, Veldora:

1️⃣ Multi-Asset Native

Stocks, Crypto, Forex, Indices, Commodities — in one engine.

2️⃣ Hybrid Intelligence Model

Combines:

  • RSI

  • ADX

  • Momentum scoring

  • ATR

  • Sharpe Ratio

  • Drawdown metrics

  • Fundamentals

  • Sentiment signals

3️⃣ Built-In Signal Engine

Not just filtering — but classification:

  • BUY

  • SELL

  • HOLD

4️⃣ Institutional-Style Filters

Includes:

  • Risk-adjusted return (Sharpe)

  • Volatility tiering

  • Debt/Equity

  • Beta

  • Short interest

  • Insider sentiment

This positions Veldora between retail platforms and institutional scanners.


4. Target Market

Primary Users

  • Active retail traders

  • Swing traders

  • Crypto traders

  • Forex traders

  • Trading educators

Secondary Market

  • Prop firms

  • Trading communities

  • Signal providers

  • Portfolio managers


5. Market Opportunity

Global retail trading participation has expanded significantly due to:

  • Commission-free trading

  • Crypto adoption

  • Increased financial literacy

  • Social trading communities

Millions of active traders rely on tools such as:

  • Trading platforms

  • Data aggregators

  • Charting systems

However, most lack structured cross-market intelligence engines.

Veldora addresses this underserved mid-tier segment:
Advanced traders who want professional tools without institutional complexity.


6. Business Model

SaaS Subscription Structure

Free Tier

  • Limited filters

  • Limited assets

  • Basic signals

Pro Tier

  • Full filter access

  • Multi-asset scanning

  • Signal engine

  • Watchlist persistence

  • CSV export

Elite Tier

  • Multi-timeframe scanning

  • Strategy presets

  • Alert system

  • API access

  • Portfolio analytics


Additional Revenue Channels

  • White-label licensing

  • Trading community integrations

  • Prop firm partnerships

  • Data licensing

  • AI-enhanced premium signals


7. Competitive Landscape

 

Platform Type:                  Weakness

Charting platforms:              Limited screening depth.

Basic stock screeners:          No signal classification

Institutional terminals:         High cost/complexity.

Crypto-only scanners:          No cross-asset integration

 

Veldora’s advantage:
Cross-asset intelligence + structured signal output + modern UX.


8. Traction Potential

The platform is designed for:

  • Community-driven growth

  • Trading education integration

  • Influencer partnerships

  • Social trading expansion

Because it directly supports trading workflows, it naturally integrates into:

  • Discord communities

  • Telegram groups

  • Trading mentorship ecosystems

  • YouTube education funnels


9. Scalability

The architecture supports:

  • API-driven data expansion

  • Multi-timeframe logic

  • Cloud backend migration

  • AI signal layering

  • Strategy builder modules

The platform can evolve into:

  • A quant-lite engine

  • A SaaS analytics ecosystem

  • A trading intelligence hub


10. Long-Term Vision

Veldora aims to become:

The Intelligence Layer Between Market Data and Trader Decision-Making.

Future roadmap includes:

  • AI signal weighting

  • Backtesting engine

  • Portfolio risk engine

  • Automated alert systems

  • Institutional dashboard tier


11. Why Now?

The timing is ideal because:

  • Retail trading participation is structurally higher post-2020.

  • Traders demand smarter tools, not more indicators.

  • AI-enhanced analytics is becoming mainstream.

  • Multi-asset trading is increasing rapidly.

There is a clear opportunity to dominate the mid-tier intelligence segment.


12. Investment Thesis

Veldora Trading Screener represents:

  • A scalable SaaS platform

  • A strong niche within a growing trading economy

  • A bridge between retail simplicity and institutional depth

  • A foundation for AI-enhanced trading intelligence

It is positioned to grow into a category-defining decision engine.

#Trading #StockMarket #Crypto #Forex #TechnicalAnalysis #AlgoTrading #FinTech #MarketScreener #Investing #TradingTools #Veldora


Add comment

Comments

There are no comments yet.