AI-Powered Risk Intelligence

Analyze. Optimize.
Dominate the Market.

Develop and stress-test quant-style strategies with AI, real-time sentiment across global equities, FX, and indices—and a Strategy Forge built for disciplined, auditable workflows.

Try demo strategy

21Strategies Active

8.5KTotal Trades

4.7KLong Positions

3.9KShort Positions

45Active Users

15Analyzed Symbols

2Market Indexes

Trending Live

We're live on Product Hunt!

Join the revolution in AI-powered crypto risk management. Your vote helps us bring smarter tools to traders everywhere.

Support Our Launch

The Reality

What is the problem?

Traders don't manage their risks.

Traders dont have all the information in one place.

Unpredictable Markets

Protect your gains from sudden losses with Smart Risk Controls.

Insufficient Data

Limited access to institutional-grade projects and market signals.

Overconfidence

Avoid costly errors with emotional discipline and AI-driven planning.

businesscloudAugust 2025

More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.

bookmapMay 2025

70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading

axioryJune 2025

Focusing on psychological aspects, this article states that up to 90% of retail traders lose money long-term, largely due to emotional lapses in risk management

quantifiedstrategies2025

72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days

businesscloudAugust 2025

More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.

bookmapMay 2025

70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading

axioryJune 2025

Focusing on psychological aspects, this article states that up to 90% of retail traders lose money long-term, largely due to emotional lapses in risk management

quantifiedstrategies2025

72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days

businesscloudAugust 2025

More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.

bookmapMay 2025

70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading

axioryJune 2025

Focusing on psychological aspects, this article states that up to 90% of retail traders lose money long-term, largely due to emotional lapses in risk management

quantifiedstrategies2025

72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days

businesscloudAugust 2025

More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.

bookmapMay 2025

70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading

axioryJune 2025

Focusing on psychological aspects, this article states that up to 90% of retail traders lose money long-term, largely due to emotional lapses in risk management

quantifiedstrategies2025

72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days

Our solution & services

Explore interactive demos on this page—sentiment, news, and Strategy Forge—then use the same desk-grade tools in the app: asset intelligence, AI market reports, and alert-driven risk with agents.

Real-time sentiment analysis

See how headlines and tone line up with price. Go deeper in the Sentiment Correlation Lab when you want hourly detail.

News & events

Follow market-moving stories and economic releases in one flow so context is never scattered across tabs.

Strategy Forge

Build and iterate trading strategies with structured tooling and AI agents—versioned builds, not one-off notes.

Assets intelligence

Per-asset sentiment, news pulse, and context—like the Asset Intelligence panel on your dashboard, so you see what matters for each symbol.

Financial report expert AI agents

Daily Alpha-style briefings: agent-synthesized market summaries, key events, and full reports—the same expert flow as on your dashboard.

Alerts & risk management with AI agents

Turn risk into a managed process: intelligent alerts, guided workflows, and agents that help you size and stress ideas before you trade.

Core Infrastructure

Powered byIntelligence

Real-time sentiment analysis

Follow how headlines shape market mood and how that mood lines up with price — clarity for traders and investors at any level.

Step 1

News in real time

Headlines stream in as markets move. Each story carries tone and context.

Step 2

Sentiment scored

We translate language into a simple score you can track alongside price.

Step 3

See the link

Notice how optimism and worry line up with bumps in the path — that is what we help you study.

Real-time sentiment vs price

A simplified story: as each headline appears, sentiment shifts — and the price path responds. This demo loops automatically so you can follow the pattern without any setup.

Illustrative demo — not live market data

Latest headline

Neutral · 5009:30

Markets open calm after a quiet night

Neutral tone — price holds near the open.

The vertical marker follows the headline above. Hover the chart to read each moment.

Ready to run this on your own assets? The Sentiment Correlation Lab pairs hourly prices with sentiment signals.

Open the lab

News and events analyzer

Stream headlines, read AI summaries of bias and themes, and get a clear risk angle—so news becomes usable, not noisy.

Step 1

Headlines in one stream

Macro, earnings, and policy stories arrive together so you do not chase tabs all morning.

Step 2

AI interprets the tone

We highlight bias, recurring themes, and what matters most for risk—not just the headline.

Step 3

Turn reading into action

Each story ends with a plain-language risk note you can line up with your plan.

AI news interpreter & analyzer

Follow how a single article is read for bias, themes, and a practical risk angle. The sample below rotates so you can see different stories without configuring anything.

Illustrative demo — not live market data

Article & AI read

Bullish leanBloomberg10:02

S&P 500 hits record high on earnings optimism

AI summary

Language focuses on strength and forward momentum. Earnings are framed as beating expectations across several sectors.

Risk takeaway

Watch for crowded longs if good news is already priced in.

Theme focus (0–100)

Bars show how much this story emphasizes each theme—higher means more weight in the text.

Hover a bar to see the score. Updates with each article.

Sample headline stream

Bloomberg10:02

S&P 500 hits record high on earnings optimism

Reuters10:18

Fed signals rate pause, markets rally

CNBC10:35

US CPI data beats expectations

Financial Times10:51

Treasury yields fall as investors seek safety

Bloomberg11:08

Oil prices rise on supply concerns

Bloomberg10:02

S&P 500 hits record high on earnings optimism

Reuters10:18

Fed signals rate pause, markets rally

CNBC10:35

US CPI data beats expectations

Financial Times10:51

Treasury yields fall as investors seek safety

Bloomberg11:08

Oil prices rise on supply concerns

Want the full news desk and calendar inside the app? Log in to read, filter, and connect stories to your risk workflow.

Open news & events

Strategy Forge

Design strategies with the rigor of a desk: AI agents encode rules, enforce risk policy, and stress outcomes—versioned builds, not one-off notes.

Step 1

Define the thesis

Set market, timeframe, and risk budget—your desk constraints drive what the agents can propose.

Step 2

Multi-agent forge

Specialized agents encode rules, tune guards, and stress paths—like a quant stack without the spreadsheet chaos.

Step 3

Version like a fund

Every build is tagged, comparable, and ready for review—so ideas scale from solo to team workflows.

Strategy Forge — institutional builds, AI agents

A forge-style workspace where agents collaborate on the same strategy: encode logic, enforce risk policy, and stress outcomes—so what you ship is reviewed, not improvised.

Interactive preview — illustrative runs

Agent pipeline

ContextAsset, session, volatility regime

ForgeAgents synthesize rules & guards

StressScenarios & contradiction checks

Sign-offPolicy fit & export-ready build

Live blueprint

US index · trend + vol filter

Build v3 · institutional template

ES15m

Trade with the intraday trend when expansion follows a quiet compression window.

Trend filter
Price vs. session VWAP + slope of 34 EMA
Trigger
Break of micro range after volatility compression (ATR)
Invalidation
Close back through range + spread of noise band
Risk envelope
Max 0.6% account / trade · stop = f(ATR, structure)

Agent quality signals

Rule consistency96%

Risk policy fit92%

Scenario coverage88%

Agent console

Snippets from a forge run—how institutional-style checks read in plain language.

forge-session · sse · encrypted

Cycles automatically to show another slice of the forge. Reduced motion shows all lines at once.

Bring your desk constraints—Strategy Forge turns them into versioned, agent-reviewed builds you can stress and ship with confidence.

Open Strategy Forge

Trust & infrastructure

How it works

A short, transparent view of how your strategies and data are handled—so you can focus on research, not guesswork.

Isolated execution
Strategy code and backtests run in ephemeral, sandboxed environments on our side—segregated from other customers’ data and designed to prevent cross-tenant leakage while protecting market datasets.
Built on Google Cloud
Core infrastructure—including compute, storage, and AI inference (e.g. Gemini via Google Cloud APIs)—runs on Google’s enterprise cloud so reliability and security practices match what regulated teams expect.
Clear policies
How we handle prompts, strategy parameters, and retention is spelled out in our Privacy Policy and Terms; we do not sell your strategy logic to third parties.

Meet Our Team

The passionate minds behind RisksVision's innovative AI-powered financial platform.

Founder & Leadership

The visionary behind RisksVision's innovative approach to AI-powered financial intelligence.

CtrlProgrammer

Founder

Full-Stack Developer & AI Engineer

Passionate about democratizing financial intelligence through AI. Building the future of portfolio management with cutting-edge technology and institutional-grade analysis.

Core Expertise

AI/ML Engineering

Expert

Blockchain Development

Advanced

Financial Analysis

Expert

Full-Stack Development

Expert

Risk Management

Advanced

Our Mission & Values

The principles that drive our innovation and guide our commitment to users.

Mission

Democratize institutional-grade financial intelligence through AI, making advanced portfolio management accessible to everyone.

Vision

To become the leading AI-powered platform that transforms how individuals and institutions approach investment decisions.

Values

Transparency, innovation, and user empowerment. We believe everyone deserves access to sophisticated financial tools.

Join Our Journey

We're building the future of AI-powered financial intelligence. Interested in contributing to our mission or learning more about our technology?

The Reality

What is the problem?

Traders don't manage their risks.

Traders dont have all the information in one place.

Unpredictable Markets

Protect your gains from sudden losses with Smart Risk Controls.

Insufficient Data

Limited access to institutional-grade projects and market signals.

Overconfidence

Avoid costly errors with emotional discipline and AI-driven planning.

businesscloudAugust 2025

More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.

bookmapMay 2025

70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading

axioryJune 2025

Focusing on psychological aspects, this article states that up to 90% of retail traders lose money long-term, largely due to emotional lapses in risk management

quantifiedstrategies2025

72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days

businesscloudAugust 2025

More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.

bookmapMay 2025

70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading

axioryJune 2025

Focusing on psychological aspects, this article states that up to 90% of retail traders lose money long-term, largely due to emotional lapses in risk management

quantifiedstrategies2025

72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days

businesscloudAugust 2025

More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.

bookmapMay 2025

70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading

axioryJune 2025

Focusing on psychological aspects, this article states that up to 90% of retail traders lose money long-term, largely due to emotional lapses in risk management

quantifiedstrategies2025

72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days

businesscloudAugust 2025

More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.

bookmapMay 2025

70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading

axioryJune 2025

Focusing on psychological aspects, this article states that up to 90% of retail traders lose money long-term, largely due to emotional lapses in risk management

quantifiedstrategies2025

72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days

Our solution & services

Explore interactive demos on this page—sentiment, news, and Strategy Forge—then use the same desk-grade tools in the app: asset intelligence, AI market reports, and alert-driven risk with agents.

Real-time sentiment analysis

See how headlines and tone line up with price. Go deeper in the Sentiment Correlation Lab when you want hourly detail.

News & events

Follow market-moving stories and economic releases in one flow so context is never scattered across tabs.

Strategy Forge

Build and iterate trading strategies with structured tooling and AI agents—versioned builds, not one-off notes.

Assets intelligence

Per-asset sentiment, news pulse, and context—like the Asset Intelligence panel on your dashboard, so you see what matters for each symbol.

Financial report expert AI agents

Daily Alpha-style briefings: agent-synthesized market summaries, key events, and full reports—the same expert flow as on your dashboard.

Alerts & risk management with AI agents

Turn risk into a managed process: intelligent alerts, guided workflows, and agents that help you size and stress ideas before you trade.

Analyze. Optimize. Dominate the Market.

We're live on Product Hunt!

What is the problem?

Unpredictable Markets

Insufficient Data

Overconfidence

Our solution & services

Real-time sentiment analysis

News & events

Strategy Forge

Assets intelligence

Financial report expert AI agents

Alerts & risk management with AI agents

Powered byIntelligence

Real-time sentiment analysis

Real-time sentiment vs price

News and events analyzer

AI news interpreter & analyzer

Strategy Forge

Strategy Forge — institutional builds, AI agents

US index · trend + vol filter

How it works

Isolated execution

Built on Google Cloud

Clear policies

Ready to Trade Smarter?

Meet Our Team

CtrlProgrammer

Core Expertise

Mission

Vision

Values

Join Our Journey

What is the problem?

Unpredictable Markets

Insufficient Data

Overconfidence

Our solution & services

Real-time sentiment analysis

News & events

Strategy Forge

Assets intelligence

Financial report expert AI agents

Alerts & risk management with AI agents

Powered byIntelligence

Real-time sentiment vs price

AI news interpreter & analyzer

Strategy Forge — institutional builds, AI agents

US index · trend + vol filter

How it works

Isolated execution

Built on Google Cloud

Clear policies

Meet Our Team

CtrlProgrammer

Core Expertise

Mission

Vision

Values

Join Our Journey

Analyze. Optimize.
Dominate the Market.