FALCONNFALCONNFalconn trades NIFTY systematically and records every decision it makes — each signal stamped with the rule that produced it, every session replayable tick by tick, every loss classified.
Everything the engine does lives on one desk — from the live session to the research bench.
Every signal, order, fill and exit is journaled as it happens — nothing typed in after the fact, nothing forgotten.
Play any archived session back print by print and watch exactly what the engine saw when it pulled the trigger.
Backtests, walk-forwards and paper runs on unseen sessions — strategies earn live orders, they're never granted them.
Losses are classified, not mourned: false breakout, weak entry, low-vol regime — with the why on every trade.
Session-over-session equity, R-multiples, MAE/MFE excursions and exit-reason attribution across every arm.
Hard order caps, daily loss budgets, per-class position limits and a two-step kill switch — discipline in code, not willpower.
The journal writes itself while the engine trades. Each entry carries the exact rule and structure that produced it — so weeks later, one click answers "why did we take this?"
Any archived session plays back print by print, on its own clock. Jump to any trade from the journal and land at the exact moment the signal armed.
The bench runs backtests and forward validation on sessions the strategy has never seen — and when live trades lose, a deterministic classifier explains how: the taxonomy your next improvement comes from.
Recorded at every step. Reviewable forever. Replayable from signal to fill.
…and the loop closes: Outcome → failure classification → research → new strategy version → validation → live.
Not today. Falconn is a private, non-commercial project — one person's engine, trading one account. This site exists to document the work, not to sell it.
No. Nothing here is a recommendation, signal, or solicitation. Figures in interface illustrations are sample data, historical market data, or research/validation results — not live performance.
A strategy is frozen, then evaluated on sessions it has never seen. Only strategies that hold up on that unseen data are eligible to place live orders — the bench stays separate from the money.
The equity curve and stats combine three research-bench runs over Jan 2025 → Aug 2026 — 106 trades, merged in exit order, no trades removed. Sizing follows the same risk rules the live engine uses (NIFTY lot size 65). The three runs are not a selection from a larger pool — they are the three strategies that passed forward validation and earned live eligibility, shown in full. P&L is as reported by the research runner with transaction costs and slippage included. Validation windows are frozen before evaluation and strategies are not modified during a run. These are research results on historical and unseen forward sessions — not live trading.
Accountability and craft. Writing the system down — honestly, including how it loses — keeps the engineering disciplined.
Falconn is a private project — but questions and conversations are welcome. Leave a note and we'll get back to you.