Technical Analyst
Price action, market structure, support / resistance, indicator interpretation. Sees the same OHLC window as the others but reports on form.
How AlphaFlowSeven works
Six AI agents. Three reasoning tiers. One synthesised call per cycle. AF7's council architecture is built so no single model — and no single bias — produces a signal alone.
The pipeline at a glance
- Tier 1 — Specialists (parallel): Technical Analyst, Momentum Analyst, Risk Analyst.
- Tier 2 — Advocates (parallel): Bull Advocate, Bear Advocate.
- Tier 3 — Synthesis: Lead Trader weighs everything plus its own last four calls.
Tier 1 — three specialists read the market
Momentum Analyst
RSI, ADX, +DI / -DI velocity, trend persistence. Quantifies whether what's moving is likely to keep moving.
Risk Analyst
ATR volatility, recent drawdown, exposure. Anchors the council to "what happens if we're wrong" rather than just "what's the opportunity."
Tier 2 — adversarial advocacy
Tier 2 sees all three Tier-1 outputs and is asked to build the strongest possible case for one side. Bull and Bear advocates run in parallel, each producing a directional thesis with explicit counter-arguments.
This step exists to stress-test Tier 1 before any signal is issued — a call that survives both advocates' criticisms is worth more than one that only convinces a consensus.
Tier 3 — the Lead Trader
The Lead Trader receives Tier 1's three analyses, Tier 2's bull and bear cases, and — crucially — its own four most recent prior calls for the same council. That continuity prevents whiplash: the Lead Trader knows whether it just opened a simulated position, whether the council has been hesitating, whether it called HOLD three times in a row.
Final output: BUY, SELL, HOLD, or
CLOSE, with a conviction score from 0.0 to 1.0 and a
plain-language summary.
From signal to simulation
AF7 never touches a real exchange account. Every signal can be routed into a built-in portfolio simulation that opens, manages, and closes simulated positions. Take-profit and trailing-stop levels can be fixed per-strategy or council-determined per-call.
Monitoring runs every 60 seconds. Live OHLC arrives via WebSocket from Binance International, with automatic Kraken fallback after three connection failures or a region block.
Models, prompts, and evaluation
Each of the six seats can run a different model across seven providers: Anthropic Claude (Fable 5, Sonnet 5, Opus, Haiku), OpenAI (the GPT-5 family), Google Gemini (3.5 Flash, 3.1 Pro, 3.1 Flash-Lite), xAI (Grok 4.1 Fast), DeepSeek (V4 Pro/Flash), Moonshot AI (Kimi K2.6), and Zhipu GLM — with per-agent temperatures.
Every agent's system prompt is editable per council, with a library to save and reuse setups. The Council Evaluator audits a council's recent calls against their actual outcomes and proposes concrete prompt rewrites for each agent, flagging any prompt that has drifted from the evaluated version. The three-tier, six-seat structure itself is fixed — that adversarial shape is the product.
Measuring what works
Signals are hypotheses, so AF7 is built to test them. Every simulated trade — win, loss, or breakeven — is a permanent record attributed to the meeting that opened it, and the Council Performance dashboard reports the metrics that matter: net and realized P&L, win rate, profit factor, maximum drawdown, trade count, and an equity curve over time, with a breakdown by conviction so you can see whether a council's certainty actually tracks its results. Losing trades are shown next to the winners.
Two backtesting engines — grid and candle-pattern — replay strategies against stored market data using the same crossing-detection as live monitoring, so backtest and live behaviour match; forward-testing routes live signals straight into the simulation.
Compare models head-to-head: Council Battle
Six seats, seven providers — but which line-up actually trades this market best? Council Battle clones a council into two head-to-head copies that are identical except one dimension: a Battle of Models keeps the prompts the same and changes the models, and a Battle of Prompts keeps the models the same and changes the prompts. Each side trades a fresh paper wallet over the same window; you watch their equity curves, P&L, win rate and drawdown side by side and replay the run. It turns "which model is better" into a measured result — and, with an "echo chamber" signal that flags when the Bull and Bear advocates keep agreeing, it helps confirm the six agents are genuinely independent rather than quietly correlated.
Try it free
New accounts get three free AI councils on a curated set of tickers. No credit card required.