# Surani Algo -- Strategic Product & Research Roadmap

## Vision

Build the most trustworthy NIFTY/BANKNIFTY options research and signal
platform for retail traders.

Users do **not** pay for indicators. They pay for high-confidence trade
decisions.

## Core Principles

1.  Research before optimisation.
2.  Every strategy is an independent hypothesis.
3.  Archive failed strategies; never tune them after rejection.
4.  Production changes only after evidence.
5.  Accuracy over frequency.
6.  No high-confidence setup = No trade.

## Product Flow

Market Data → Validated Strategies → Evidence Aggregation → AI
Confidence Ranking → Confirm Trade

The AI ranks validated strategies. It does not invent trades.

## Research Campaigns

-   Campaign A --- EMA Crossover (Closed, Rejected)
-   Campaign B --- Extension Mean Reversion
-   Campaign C --- Sweep & Reclaim Reversal
-   Campaign D --- Volatility Compression → Expansion
-   Campaign E --- Trend Pullback
-   Campaign F --- Trend Exhaustion Reversal

Future campaigns may be added only after governance approval.

## Production Goal

Research 6--8 independent market behaviours.

Deploy only the best 3--4 strategies that: - show a statistical edge, -
pass hold-out validation, - pass BANKNIFTY validation, - pass forward
paper validation.

## User Experience

Default flow:

Scan Market → Platform evaluates all validated strategies → Ranks
opportunities → Shows confidence and explanation → Confirm Trade

Advanced users may choose Strategy, Timeframe and Risk:Reward only where
research supports those combinations.

## Quality Standard

Never show a Confirm Trade button unless the confidence threshold is
met.

"No High-Confidence Trade" is an acceptable outcome.

## Long-Term Vision

Create a research-first trading platform where every signal is
evidence-backed, every strategy is independently validated, and user
trust is the primary product.