More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.
Strategy Forge is the core of Risks Vision: specialized agents encode rules, audit logic, and version every build—then you choose execution in the same workspace. Sentiment and news intelligence plug in when you want the full market read.
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More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.
70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading
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
72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days
More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.
70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading
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
72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days
More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.
70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading
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
72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days
More than 80% of retail traders lose money—many within their first year. And it's usually not because their strategy is bad.
70% of day traders incur net losses, with only 1-3% achieving consistent profitability. A major factor is poor risk management, such as overtrading
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
72% of day traders end the year with losses, and a adage notes that 90% lose 90% of their funds within 90 days
Strategy Forge is the flagship: router, builder, and audit on one flow map—then sentiment and news demos show how the rest of the desk fits together. Inside the app you get the same tools plus asset intelligence, AI market reports, and alert-driven risk with agents.
Main workspace: multi-agent router, builder, and audit on one map—versioned strategies, optional execution, same flow as after signup.
See how headlines and tone line up with price. Go deeper in the Sentiment Correlation Lab when you want hourly detail.
Follow market-moving stories and economic releases in one flow so context is never scattered across tabs.
Per-asset sentiment, news pulse, and context—like the Asset Intelligence panel on your dashboard, so you see what matters for each symbol.
Daily Alpha-style briefings: agent-synthesized market summaries, key events, and full reports—the same expert flow as on your dashboard.
Turn risk into a managed process: intelligent alerts, guided workflows, and agents that help you size and stress ideas before you trade.
Multi-agent · single surface
Router, builder, and audit collaborate on one versioned build. When they finish, you decide whether to run execution — still in the same modal, same map. Below is a live-style preview of that pipeline (no API calls).
Agent map
Router ingests your desk constraints and chooses the next specialist.
Router
Classifies your ask and dispatches builder, audit, or both.
Builder
Turns natural language into processor logic, indicators, and guards.
Audit
Reviews logic, risk, and edge cases before anything is saved.
Run?
Same modal as the app: run desk-style execution stats or skip.
Output
Signals, stats, and timeline — optional, one click from the map.
Prompt in
“Tighten invalidation on ES 15m, keep risk under 0.6% — explain the trade-off for chop vs. trend days.”
Why teams notice
Non-linear by design
Router can send work straight to audit or through the builder first — the map shows every path.
One modal, full story
Streaming activity, optional execution stats, and the written agent summary stay together — no separate “step 2” screen.
Versioned builds
Each refinement is a tagged build you can diff, stress, and ship with the same audit trail.
Agent reply (sample)
Agents aligned entry ladder with ATR compression, added a dual invalidation path, and signed off with a PASS on policy checks — you review the same summary + map in one workspace.
This preview loops through the same stages you get after login — from first prompt to audit to optional execution, without leaving the forge.
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.
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
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 labStep 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.
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
S&P 500 hits record high on earnings optimism
Language focuses on strength and forward momentum. Earnings are framed as beating expectations across several sectors.
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
S&P 500 hits record high on earnings optimism
Fed signals rate pause, markets rally
US CPI data beats expectations
Treasury yields fall as investors seek safety
Oil prices rise on supply concerns
S&P 500 hits record high on earnings optimism
Fed signals rate pause, markets rally
US CPI data beats expectations
Treasury yields fall as investors seek safety
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 & eventsTrust & infrastructure
A short, transparent view of how your strategies and data are handled—so you can focus on research, not guesswork.
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.
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.
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.
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