AI-Powered Decision Intelligence

The Complete AI Trading Terminal

Build trading strategies in plain English. Backtest with institutional metrics. Execute across 5 brokers. All powered by AI that explains its reasoning — from algorithm generation to autonomous trading with human-grade oversight.

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135+

Signal Primitives

32

Data Integrations

5

Broker Connections

24/7

Autonomous Trading

Why Agencio Predict?

The unfair advantage you've been looking for

Human vs. Bot Detection

Know whether market moves are driven by human sentiment or algorithmic trading. Our proprietary divergence engine classifies every signal so you can trade with conviction.

AI That Explains Itself

No black boxes. Every recommendation comes with citations, confidence scores, and the reasoning behind it. Understand the "why" — not just the "what."

From Idea to Live in Minutes

Describe your strategy in plain English. Our AI translates it to executable code, backtests against 90 days of data, and deploys to paper trading — automatically.

Institutional-Grade Guardrails

9 anti-hallucination defenses. Slippage-aware sizing. Correlation haircuts. EOD critic review. The same risk controls hedge funds use — now accessible to everyone.

All Your Signals, One View

Prediction markets, derivatives, macro indicators, news sentiment, social buzz — fused into a unified probability layer. Stop tab-switching. Start seeing the full picture.

Your Keys, Your Control

Bring your own API keys for Claude, brokers, and data providers. Your credentials stay encrypted with AES-256-GCM. We never see your trading activity.

Built For Decision Makers

Whether you're trading, analyzing, or marketing — Predict gives you the edge

Traders

Systematic & Discretionary

  • Build AI trading algorithms in plain English
  • Backtest with institutional-grade metrics (Sharpe, Sortino, VaR)
  • Paper trade safely before going live
  • Detect manipulation: spoofing, wash trading, stop hunts
  • Multi-broker execution (Alpaca, Binance, IBKR, Schwab, Pepperstone)
  • Fund Manager to combine multiple strategies

Analysts

Research & Intelligence

  • AI Stock Hunter with 39 sector presets
  • 8-section research reports with citations
  • Pattern detection: FVGs, double tops, head-shoulders
  • Black swan detection and crisis opportunity alerts
  • Economic calendar with FRED, Finnhub, FXStreet data
  • Sentiment analysis across 7 social platforms

Marketeers

Campaign Intelligence

  • Unified ad platform dashboard (Google, Meta, TikTok, LinkedIn)
  • Market paradox detection for timing campaigns
  • Sentiment tracking for brand monitoring
  • Competitor signal intelligence
  • Economic event awareness for campaign planning
  • Cross-market correlation insights

What Makes Us Different

Most platforms give you data. We give you understanding. Here's how Agencio Predict stands apart from the crowd.

  • Prediction Market Fusion

    We aggregate Polymarket, Kalshi, Metaculus, and PredictIt into a unified probability layer

  • Human vs. Automation Signal

    Proprietary classification of whether moves are driven by humans or bots

  • Plain English → Live Trading

    Describe your strategy in words, we handle the rest

  • LLM Jury System

    Every AI decision passes through proposer, critic, and judge — with audit trail

  • Manipulation Detection

    Real-time spoofing, wash trading, and stop-hunt detection

Feature Us Bloomberg TradingView
AI Strategy Builder ✓ ✗ ✗
Prediction Markets ✓ ✗ ✗
Human/Bot Detection ✓ ✗ ✗
Multi-Broker Execution ✓ ~ ~
Explainable AI ✓ ✗ ✗
Price Coming Soon Enterprise Varies

Complete Feature Matrix

Everything you need to trade, analyze, and make decisions — in one platform

Feature Trader Analyst Marketeer
Trading Setup Risk limits, broker config, paper/live modes
● ○ ○
AI Algorithm Builder Plain English → DSL → backtest → paper → live
● ● ○
Smart Portfolio AI-managed diversification, auto-rebalancing
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Fund Manager Multi-strategy orchestration, capital allocation
● ● ○
Pattern Hunter FVGs, double tops, head-shoulders detection
● ● ○
Market Intelligence Emerging company discovery, news-driven signals
● ● ●
AI Stock Hunter 39 presets, 8-section research reports
● ● ○
Prediction Markets Polymarket, Kalshi, Metaculus, PredictIt
● ● ●
Human vs. Bot Signal Divergence engine, whale/bot classification
● ● ○
Manipulation Detection Spoofing, wash trading, stop hunts, pump & dump
● ● ○
Derivatives Dashboard VIX, fear/greed, funding rates, liquidations
● ● ○
Social Sentiment Reddit, Twitter, Telegram, Discord, Bluesky
● ● ●
Economic Calendar FRED, Finnhub, FXStreet releases
● ● ●
Black Swan Detection Yield curve, credit spreads, intermarket divergence
● ● ●
Ad Platform Dashboard Google, Meta, TikTok, LinkedIn, Pinterest
○ ○ ●
Terminal Console Bloomberg-style keyboard-driven interface
● ● ●

Complete Platform Capabilities

58 features across 6 pillars — everything shipping today

1

Data & Signal Ingestion

8 data layers fusing prediction markets, prices, derivatives, macro, news, social, ads, and fixed income

Prediction Markets Layer
Polymarket, Kalshi, Metaculus, PredictIt
Aggregates 4 prediction markets into a single queryable probability feed. Detects arbitrage opportunities when the same event has divergent pricing across platforms.
Example: "Will the Fed pause?" shows Polymarket at 62%, Kalshi at 71% — 9-point arbitrage badge fires. Someone has information.
Traders Analysts Marketeers
Price Data Layer
Yahoo, Finnhub, CoinGecko, Frankfurter
Real-time and historical OHLCV for stocks, ETFs, indexes, crypto, and forex. Same endpoint serves all asset classes with unified charting.
Example: /trading/AAPL shows 6-month daily candles with FVG zones. Same view works for /trading/BTC and /trading/EURUSD.
All Users
Derivatives Layer
VIX, Fear/Greed, Funding, OI, IV, Liquidations
VIX with percentile, Crypto Fear/Greed dial, funding rates, open interest, implied volatility (Deribit DVOL), liquidations by exchange. Composite regime signal.
Example: VIX at 18 (45th pct), Fear/Greed at 72, BTC 8h funding +0.021% (elevated). Composite: "risk-on with late-cycle warning."
Traders Risk Teams
Macro Layer
Treasury Curve, TIPS, SOFR, FRED Data
Full US Treasury curve (3m–30y), three yield spreads with inversion flags (2s10s, 3m10y, 5s30s), 10Y TIPS, breakevens, SOFR, fed funds, CPI, unemployment.
Example: 2y10y spread goes negative for 3 months straight. Macro-regime flag fires. CPM model reduces expected conversion for finserv ads.
Macro Traders Rates Desks
News Layer
6 Sources: GDELT, Google, NewsData, Guardian, NYT, Finnhub
6-source news ingestion with LLM entity extraction. GDELT and Google News RSS enabled free by default. Admin config at /admin/news.
Example: News spike on "EU antitrust Apple" correlates with Twitter sentiment drop. Platform surfaces the prediction market shift (+17pt week-over-week).
Event Traders PR Teams
Social Sentiment Layer
Reddit, Twitter, Telegram, Discord, Bluesky, Truth Social, RSS
7-platform sentiment analysis. Reddit subreddit search with scoring. Domain mapping ties subreddits to asset classes. Private channel support via user bot tokens.
Example: r/energy sentiment flips negative while XLE stays flat. Divergence score flags it. Trader shortlists for fade. Marketer adjusts ad tonality.
Retail Traders Brand Managers
Marketing Ads Layer
Google, Meta, TikTok, LinkedIn, Pinterest
OAuth flows for 5 ad platforms. Campaign spend, impressions, CTR, CPM, conversions pulled and normalized. One unified view across all platforms.
Example: Brand running all 5 platforms sees one unified campaign table with attribution-model toggle (6 models). No coverage gaps.
Marketeers Agencies
Fixed Income Layer
Treasuries, TIPS, MOVE Index, Credit Spreads
5 Treasury tenors, 3 curve spreads, TIPS, breakevens, SOFR, MOVE index (bond VIX), HYG/LQD credit-risk ratio, 6 bond ETFs. Full yield-curve dashboard.
Example: 2s10s inverts, HYG/LQD drops 4%, MOVE at 82nd percentile. Trader reads late-cycle stress, takes steepener position.
Rates Traders CIOs
2

Trading & Markets Surface

9 trading interfaces from Bloomberg-style terminal to forex grids to flow visualization

Console Terminal v2.0
Bloomberg-inspired keyboard-driven interface
Tabs for ALL / TRADING / DERIVATIVES / FOREX / INTEL. QuickTradeModal, OpenPositionsPanel with live P&L, MiniCharts with sparklines. Real-time SSE with polling fallback.
Example: Click NVDA ticker, QuickTradeModal opens, enter 50 shares, position appears with live P&L. Close at +$150 without leaving terminal.
Power Users Active Traders
Terminal Subdomain
terminal.predict.agencio.cloud
Dedicated subdomain locked to console-only. Two-layer enforcement: nginx allowlist + server-side LayoutProvider strips all app chrome.
Example: Prop trader runs terminal subdomain full-screen on left monitor — pure terminal. Main app on right for admin and research.
Trading Desks Kiosks
Chrome Extension (MV3)
Side panel, popup, background alerts
Side panel (full terminal), toolbar popup (stat bar), options page. Background service worker polls for alerts and raises browser notifications.
Example: On Robinhood, click extension — stat bar shows VIX + 4 tickers. Background notification: "BTC funding crossed 0.05% — long-squeeze risk."
Multi-taskers
Trading Charts + FVG Detection
Fair Value Gaps, SMAs, custom symbols
Candle charts with FVG zones (green bullish, red bearish, faded when tapped). Quick-picks for major symbols. Range selector 1M–2Y. SMA toggles.
Example: NVDA over 3 months shows 2 unfilled bullish FVGs at $168 and $182. Trader waits for retrace, enters on first FVG tap.
ICT/SMC Traders
Forex Dashboard
12 pairs: 7 majors + 5 crosses
12-pair grid via Frankfurter ECB reference rates. Click-through to candle charts. Real-time rate display with change percentages.
Example: EM crisis headlines break — check /forex, see USDJPY +1.2%, EURJPY -0.8%, click through to chart, take directional view.
Forex Traders
Trending Dashboard
Finnhub trending, CoinGecko volume leaders
Trending stocks (Finnhub + momentum) and crypto (CoinGecko trending + 24h volume). Meme-stock badge. Social mention counts.
Example: Monday morning — top trending is SMCI up 12%, meme-stock badge, social mentions +400%. Check sentiment before acting.
Discretionary Traders
Derivatives Dashboard
VIX, Fear/Greed, Funding, Liquidations
Full derivatives overview: VIX value + percentile + 30-day history, Fear/Greed dial, BTC/ETH funding/OI/IV/liquidations, Treasury spread, composite regime.
Example: Before sizing: VIX 18, 2y10y -12bps (inverted), BTC funding +0.035%. Composite: "caution." Reduce position 30%.
Vol Traders Risk Managers
Capital Market Assumptions
22-asset class forecasts + correlations
Capital Group 2026 assumptions. 22 asset classes with expected returns, volatilities, Sharpes. Risk/return scatter. 22×22 correlation heatmap. 5-region GDP + 6-currency FX forecasts.
Example: CIO annual review — EM Debt correlation to US Equity lowered vs 2025 CMAs. Adjust target weights accordingly.
CIOs Allocators
Flow Engine (All-Seeing Eye)
Cross-asset flow aggregation + Sankey
24-node taxonomy, Sankey visualization, 7 pattern detectors. Adapters: SEC Form 4 insider trades, whale bridges, Glassnode on-chain, ICI fund flows.
Example: Pre-catalyst anomaly fires on small-cap biotech — insider Form 4 purchases + on-chain spike before FDA catalyst. Potential leak flagged.
Event Traders Surveillance
3

AI & Algorithm Builder

12 features: 135+ primitives, NL→DSL, LLM jury, backtest, paper trading, derivatives, portfolio management

DSL Signal Primitives
135+ primitives across 12 categories
Price/Volume (4), Technical (45+), Sentiment (18), Macro (16), Position (8), Sizing (5), Options (5), Prediction Markets (10), Fundamental (8), Composers (3), LLM (1). Sandboxed, pure functions, no look-ahead.
Example: if(recession_prob() > 0.5 && rsi(14) < 30 && credit_ratio_hy_ig() < 0.95) → defensive positioning when markets signal recession.
Systematic Quants
Natural Language → DSL
Plain English strategy translation
Write strategy in English. LLM translates to DSL. Parse errors trigger up to 3 retries, each rejection logged to algorithm_llm_rejections.
Example: "Buy QQQ when VIX below 20-day median for 3 days AND 10Y Treasury < 4.0%" → LLM outputs parsed DSL with composite conditions.
Quant-Curious
LLM Jury (Proposer/Critic/Judge)
Adversarial AI critique system
Proposer (Opus t=0.3) proposes. Critic (Opus t=0.0, "find what's wrong") counters. Judge (Haiku t=0.0) merges. Every decision persisted. <0.85 confidence → human escalation.
Example: 31% Sharpe strategy. Proposer: 0.92 confidence. Critic: 0.78, "positive return correlates with single outlier month." Judge escalates. Not auto-applied.
Safety Critical
Backtest Engine
Bar-by-bar execution, 12 metrics
Pure no-look-ahead indicators. L1 guardrail kills. Slippage via Almgren-Chriss. 12 metrics: Sharpe, Sortino, Calmar, max DD, win rate, Kelly, profit factor, Cornish-Fisher VaR.
Example: 180-day ETHUSDT perpetual short at 10x. Engine simulates $847 funding costs, flags 2 near-liquidation events, applies cover premium.
Systematic Traders
Paper Trading Executor
Tick-based runner with frozen context
Live-price snapshots build EvalContext with explicit asOf timestamp. Slippage via paper mode. Persists trades to algorithm_trades and telemetry.
Example: Promote backtested strategy to paper. Tick manually or auto-tick every N minutes. Live equity curve, trades table, kills table in PaperRunModal.
Strategy Validation
Guardrails + PANIC Button
Hard limits, position modes, kill switch
max_daily_loss_pct, max_drawdown_pct (hard), max_leverage (hard). DB trigger prevents SQL-path modification. PANIC button with 5 position modes: close_all, stop_new_only, protect_shorts, close_shorts_only, close_longs_only.
Example: Strategy hits max_daily_loss at 11:32am — auto-kill, flatten via broker, log to audit. PANIC with protect_shorts sets 5% stop-loss before ending.
Risk Management
Self-Modification Pipeline
LLM proposes → jury → cross-validate
Generate proposed mod via LLM → jury review → 90-day deterministic cross-validation. Auto-reject if Sharpe drops >20%, DD worsens >20%, or return flips negative.
Example: LLM proposes: widen RSI threshold 30→25. Jury approves (0.89/0.86). Cross-val: Sharpe drops 32%. Auto-rejected. Logged to audit.
Autonomous Adaptation
Audit & Rejection Log
Every LLM decision persisted
/admin/algorithms audit modal shows every LLM rejection and jury decision with timestamp, strategy, reason, confidence scores. Full transparency.
Example: Client asks "why reject my Fed-pause strategy?" Ops opens audit: rejection on unknown_primitive("fed_probability_with_lag"). Points to valid list.
Compliance Ops
Workflows Builder
Signal-based automation, 8 action types
Signal-based triggers, 30-primitive condition DSL, 8 action types: webhook, Slack, Discord, Teams, email, SMS, add_to_watchlist, generate_report. No trade execution (safety).
Example: "BTC funding > 0.04% → Slack + add to watchlist" template. Test fires against mock payload. Saved. Auto-fires next time threshold crosses.
Automation
Derivatives Trading
Perpetuals, futures, short selling
Perpetual swaps (Binance 1-125x), exchange-traded futures (IBKR 1-50x), short selling (Alpaca/Binance/IBKR). DSL direction/leverage fields. Funding + borrow costs in backtest.
Example: "Short ETHUSDT perpetual at 10x when RSI > 70 and funding positive" → DSL with direction:short, leverage:10. Backtest shows funding costs + liquidation events.
Crypto Derivatives
Portfolio Management
Multi-symbol, correlation, HHI, rebalancing
Multi-symbol backtest with per-symbol attribution. Correlation matrix (Pearson). HHI concentration (regulatory-grade). MCR risk attribution. Allocation drift. Scheduled rebalancing.
Example: 5-symbol portfolio backtest shows 2 positions at 0.85 correlation (redundant), HHI 0.28 (moderate). Suggests rebalancing to reduce drift.
Fund Managers
⏱️
Strategy Horizons
Intraday / Swing / Position / Long-term
Classify by horizon with horizon-aware primitive validation. Default risk limits per horizon. Soft warnings when primitives don't match declared horizon.
Example: Declare long_term but use position_age_hours → Parser warns: "Primitive optimized for intraday/swing. Consider rebalancing triggers."
Strategy Authors
4

Marketing Engine

8 features: campaign prediction, attribution models, vertical signals, learning engine, daily briefs

Campaign Predictor
Budget → expected reach, CTR, conversions
Takes campaign parameters (budget, channel, vertical, region) plus current signal state. Outputs expected reach, CTR, conversion rate, spend efficiency with confidence bands.
Example: Fintech campaign during high volatility. Predictor: "defensive messaging" +6% CPM, +11% CVR vs "aggressive" +14% CPM, -3% CVR. Pick defensive.
Performance Marketers
Six Attribution Models
Last-touch, first-touch, linear, time-decay, position, W-shaped
Compare 6 models against actual revenue to determine which matches the brand's journey. A/B across historical data.
Example: 6 months of data. Time-decay matches revenue with 0.82 R² vs last-touch at 0.61. Shift 30% of last-click spend to upper funnel.
Attribution Teams
Vertical & Regional Signals
20 verticals with signal composites
Vertical-level composites combining macro, prediction-market, news, social signals. Regional overlays. 20 seeded verticals from fintech to luxury goods.
Example: Financial services: "caution — CPM compression 5-9 days." Retail: "risk-on — demand surge." Two different client actions from same dashboard.
Multi-Vertical Agencies
Learning Engine
DB-persisted weight adjustments
Predictions scored against outcomes. Pattern accuracy drives weight adjustments written to marketing.learning_weights with audit trail. Compounds across restarts.
Example: 6 months in: "prediction-market CPM alerts have 71% accuracy for your brand; sentiment alerts 42%." Weights drift automatically with rationale.
Long-term Customers
Benchmark Framework
CPM percentiles by vertical
CPM trends, percentile-ranking per vertical over time. Competitive-comparison surface. 14 seeded illustrative benchmarks; live data via partnerships.
Example: "Your CPM is up 8% MoM — 78th percentile in ecommerce, vs vertical median +3%. You're losing auction competitiveness."
Brand Ops
Budget Allocator
Optimize across channels
Given total budget and channel projections, recommend allocations to maximize target (ROAS, conversions, reach). Works across all 5 ad platforms.
Example: $50k budget, target = conversions. Allocator recommends split across configured platforms with expected conversions ± confidence band.
Media Buyers
Closed-Loop Attribution
Attribution → prediction → learning
Attribution outputs feed prediction model. Prediction outputs feed decisions. Outcomes feed learning engine. Loop closed end-to-end with DB persistence.
Example: 4 quarters: learn attribution is time-decay, best signals are prediction-market-driven, CPM spikes correlate with macro stress. Compounding edge.
Strategic Planning
📬
Daily Decision Brief
AI-authored 11-section briefs
Per-vertical daily brief from full signal fabric. 11 sections: summary, what_moved, what_it_means, strategy, media_plan, risk_profile, what_to_do, action_suggestions, citations. Email, Slack, PDF export.
Example: Monday 7:30am fintech brief: Risk 74 (orange). Fed pause +13pt, credit ratio +1.8%, Meta CPC -8%. Strategy: "lean into originations." 5 cited actions.
Growth Leads CMOs
5

Trust & Integrity

5 features: manipulation detection, trust scoring, divergence, calibration, market paradoxes

Manipulation Detection
7 detection types, 14+ DSL primitives
Stop-loss hunting, spoofing/layering, wash trading, pump & dump, closing auction manipulation, options flow, real-time WebSocket monitoring. Human-vs-automation composite score.
Example: /derivatives panel — AAPL neutral (VIX normal, sentiment QUIET). BTC human-leaning +0.20 (funding balanced = organic). Per-symbol breakdown.
Retail Protection Compliance
⭐
Trust Scoring Per Source
5-factor score on each prediction market
Five-factor trust score displayed alongside every probability. Accounts for staleness, volume, historical accuracy, spread, and platform reliability.
Example: PredictIt 63% with trust 0.42 (stale data). Polymarket 58% with trust 0.89. User discounts PredictIt number.
Sophisticated Users
↔️
Divergence Scoring
Inter-source mispricing detection
Measures divergence between sources on same event. High divergence = tradable mispricing. Cross-references prediction markets with options-implied probability.
Example: Same event: Kalshi 71%, Polymarket 62%, options-implied 55%. Divergence 0.31 (high). Worth manual research or paired trade.
Arbitrageurs
📐
Calibration Tracking (Brier)
Resolved predictions scored
Resolved predictions scored against outcomes. Calibration curves per category and timeframe. Know when to weight a prediction heavily vs skeptically.
Example: AI short-horizon tech predictions: Brier 0.19, well-calibrated 60-75%. Long-horizon crypto: Brier 0.31, overconfident. Act on first, discount second.
Serious Users
Market Paradox Detection
10 rules + LLM narratives
Detects market contradictions. 10 rule-based detectors (VIX complacency, bad-news-rally, yield-equity divergence). LLM synthesizes Goldman-quality explanations with citations.
Example: VIX at 14 while Iran headlines dominate. vix-complacency paradox fires. LLM explains: "Markets predict diplomatic resolution..."
Macro Analysts Research
6

Platform & Operations

16 features: admin panels, user management, RBAC, API, brokers, onboarding, billing, AWS deploy

Admin Integrations Panel
32 sources, live probe buttons
/admin/integrations with 32+ sources across 13 categories. Env-var status per source, signup links, live test buttons that time + return sample payloads.
Example: Support ticket: "forex broken." Admin opens panel, sees Frankfurter green, clicks Test → returns {pair: "EURUSD", rate: 1.1782} in 430ms. Issue elsewhere.
DevOps Support
👥
User Management + Cognito
6 roles, MFA, suspend/reset/delete
/admin/users CRUD across 6 roles (viewer → super_admin). Suspend, reset password, MFA controls (SMS + TOTP). Every action propagates to Cognito.
Example: Admin suspends departing employee. One click: status → suspended, Cognito disable propagated, audit log recorded.
Admins Security
🏢
Multi-User Organizations
RBAC, shared resources, team billing
Org-level membership, role-based permissions, shared resources scoped to org. Team admin tier for self-serve management.
Example: Agency: 14 seats across 3 client orgs. Analyst at Client A sees only A's data. Partner sees all three. Super admin manages billing.
Teams Agencies
Multi-Session Management
Device tracking, configurable limits
Per-user session tracking with device info, IP, location. Default 5 sessions (max 20). User self-service at /settings. Admin bulk logout and maintenance mode.
Example: Trader sees unknown session from different city in /settings. One click to revoke. Admin enables maintenance mode for policy update.
Security Compliance
🔌
Public API
90+ endpoints, rate-limited keys
/api/predict/v1/* with rate-limited API keys, /api/docs. 90+ endpoints covering events, markets, predictions, trading, marketing, admin, algorithms, brokers.
Example: Fund's risk system polls /api/predict/v1/derivatives?type=overview every 60s, ingests composite signal into position-sizing model.
Enterprise Integrators
Broker Layer
5 brokers, paper-sandbox default
Alpaca, Binance, IBKR, Schwab, Pepperstone. Every user starts mock ($100k sim). Live is admin-granted role only. 4-gate preflight. AES-256-GCM credential encryption.
Example: User backtests → paper-sandbox → admin grants live role → MFA re-auth → 4-gate preflight → orders flow with idempotency keys + audit log.
Traders Compliance
Onboarding State Machine
8-state lifecycle with gates
Sign up → email verify → admin approval → MFA enrollment → Stripe subscription → terms acceptance → active → live-trading addendum. Every transition audit-logged.
Example: Prop shop: new trader signs up, verifies email, lands "pending approval." Ops approves, trader completes MFA + terms, enters paper-sandbox.
Ops Compliance
💳
AI Billing (Credits/BYOK)
3 modes: subscription, credits, BYOK
Platform subscription with bundled limits. Credits (pay-per-use). BYOK (bring your own API keys). Org owners set daily spending limits. Full billing lifecycle.
Example: Agency sets BYOK per client org — client's Anthropic key, costs flow to client. Users purchase credit packs for burst algorithm generation.
Cost Control
Alerts & Notifications
7 channels, composite conditions
Watch/alerts fire on composite conditions. Fan-out to Slack, Discord, Teams, email, webhook, SMS, push. VAPID web-push for browsers. DB-persisted triggers.
Example: "BTC funding > 0.05% AND sentiment < -0.3 → Slack + push." Fires at 2am, desktop notification, user opens terminal, acts.
All Users
📤
Export & Reporting
CSV, PDF, scheduled delivery
CSV and PDF exports. Scheduled reports with email delivery. Agency-ready templates for client deliverables.
Example: Agency: weekly PDF for each client — emailed Monday 7am with attribution, benchmarks, signal summary. Cuts manual deck-making 6hr/week.
Agencies Compliance
☁️
AWS-Ready Deploy
Fargate, Cognito, S3, SES diagnostics
AWS client factory, credential-chain resolution. /admin/aws diagnostic page for S3/Cognito/SES reachability. Migration runner for production orchestration.
Example: Ops runs deploy-migrations.sh against staging RDS. Reports each migration with timing. /admin/aws confirms all AWS services reachable from task role.
DevOps Enterprise
Service Accounts
Machine-to-machine credentials
/admin/service-accounts for M2M credentials. Bcrypt-hashed keys, per-key scopes, show-once secret policy, rotation support. Validated on every API request.
Example: Fund's risk system gets key with predictions:read + derivatives:read scope. Rotates every 90 days. System-to-system path has own audit trail.
Enterprise

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