AI Council — Agent 3 of 8
Execution Tactician
Timing & fill quality
The winners you exit early are your most expensive trades. The Execution Tactician quantifies execution leakage in R and dollars — behavioral vs exchange slippage, MFE abuse, session timing, and partial-fill discipline.
Forensically grades how well you convert plan into fills. Reads pre-computed execution metrics: behavioral vs execution slippage, MFE/MAE capture, exit quality scores, auto exit tag P&L, session buckets (Asia/London/NY), per-setup execution breakdown, hold-time asymmetry, and scaled-out vs single-exit stats.
What the Execution Tactician actually outputs
Not a chat summary — a structured forensic report from your canonical trade tape, with grades, benchmarks, and prioritized recommendations.
Sample Execution Tactician report
Illustrative output from a populated audit — same structure as the in-app agent renderer.
Execution Tactician's Assessment
Execution efficiency is moderate (B+): exchange slippage is acceptable but behavioral slippage and fear exits cost measurable R. Winners capture only 41% of MFE; New York session shows the worst behavioral R.
Benchmark analysis
What you're doing well
Stop placement avoids most adverse excursion — risk management is sound.
Exchange/market slippage is diagnostic-only and within normal range.
Areas needing attention
Winners exit with less than half of available MFE — fear exits leave ~2.1R on table per early exit.
New York session shows worst avg behavioral R — plan deviation clusters in US hours.
Recommended actions
Hold winners to planned target on first partial — cap early exits when MFE capture < 50%.
Expected impact: Recovers estimated 2.1R per early-exit winner based on MFPE analysis.
Use limit orders at planned entry during New York session — no chasing above plan.
Expected impact: Reduces behavioral slippage cluster in worst session bucket.
What it reads from your tape
The Execution Tactician receives pre-aggregated metrics from your completed trades — not a generic chat summary. Every input comes from your canonical trade tape.
- →Behavioral slippage (plan deviation) vs execution slippage (exchange/market)
- →MFE/MAE capture efficiency and exit quality score
- →Auto exit tags with per-tag count and dollar impact
- →Session execution (Asia / London / New York) and per-setup fill quality
- →Partial fill discipline and hold-time winners vs losers
What it detects
- Fear exits leaving R on table (low MFE capture + early-exit tags)
- Behavioral slippage from FOMO entries and plan deviation
- Timing degradation in worst session bucket
- Fill-quality deterioration on specific setups
What it delivers
- Execution grade and overall efficiency score
- Separated behavioral vs execution slippage analysis
- Session and setup forensics ranked by impact
- Tactical recommendations for partials and hold duration
See where execution leaks R — before fear exits become your baseline
Run the Execution Tactician on your completed trades. Inspect the full AI Council free on a populated demo account — read-only, no credit card.
Example finding
“MFE capture 41% on winners; New York session avg behavioral R −0.18R; EarlyExit tag: 14 trades, −$920 total P&L.”
How it fits the Council
The Execution Tactician runs in parallel with six other specialists on the same audit period. Each agent sees metrics tuned to its domain. When specialists disagree, they debate transparently in The Situation Room before the Chief Coaching Officer synthesizes everything into a dollar-ranked Kill List.
- 1Seven specialists analyze pre-computed metrics in parallel
- 2Disagreements surface in The Situation Room debate transcript
- 3Chief Coaching Officer ranks preventable leakage into your Kill List ($/month)
Meet the other agents
Performance Analyst
Profitability & statistical edge
Learn more Agent 2Behavioral Psychologist
Discipline & emotional leakage
Learn more Agent 4Risk Assassin
Capital preservation
Learn more Agent 5Setup Surgeon
Setup edge & decay
Learn more Agent 6Regime Cartographer
Market environment fit
Learn more Agent 7Entry & Exit Judge
Opportunity capture forensics
Learn more Agent 8Chief Coaching Officer
Synthesis & prioritization
Learn moreFrequently asked questions
Frequently asked questions
What is the difference between behavioral and execution slippage?
Behavioral slippage is plan deviation (FOMO entries, fear exits) — it directly affects your Realized R and is your responsibility. Execution slippage is fill vs market fair value (spread, liquidity) — diagnostic only, not your fault. The agent reports both separately.
What is exit quality score?
Exit quality measures how much of the available MFE you captured and how close your exit was to theoretically optimal given MAE/MAPE context. Low scores on winners often indicate fear exits or premature profit-taking.
Does it analyze partial fills?
Yes, when exit_fills or position_exits are recorded. partial_fill_analysis compares scaled-out trades (2+ fills) vs single-exit trades on win rate and avg R.
How is this different from the Entry & Exit Judge?
The Execution Tactician grades fill quality, slippage separation, MFE capture, session timing, and partial discipline. The Entry & Exit Judge classifies entry/exit timing patterns (premature, late, chasing) — complementary, not duplicate.
What data do I need for session and setup forensics?
Session buckets need entry_time (or date). Per-setup execution needs 3+ completed trades per setup. Exit tag P&L improves when auto_exit_tags are set. Partial fill stats need exit_fills or position_exits on trades.
See Execution Tactician on your trade history
Inspect the full AI Council on a populated account — every agent visible, read-only, no credit card.