# 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.

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# 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 trade frequency.
6.  "No High-Confidence Trade" is a valid outcome.
7.  User trust is the primary product.

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# Product Flow

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

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

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# Research Campaign Roadmap

## Campaign A --- EMA Crossover

-   Status: Closed
-   Result: Rejected
-   Purpose: Permanent baseline reference.

## Campaign B --- Extension Mean Reversion

-   Status: Planned

## Campaign C --- Sweep & Reclaim Reversal

-   Status: Planned

## Campaign D --- Volatility Compression → Expansion

-   Status: Planned

## Campaign E --- Trend Pullback

-   Status: Future

## Campaign F --- Trend Exhaustion Reversal

-   Status: Future

## Campaign G --- Opening Range Breakout

-   Status: Future
-   Research only if evidence supports it.

## Campaign H --- Expiry Behaviour Strategy

-   Status: Future
-   Specifically investigate expiry-day behaviour and option
    microstructure.
-   Only continue if statistically validated.

Future campaigns require governance approval.

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# Strategy Portfolio Vision

Research approximately **8 independent market behaviours**.

Deploy only the **best 3--4 production strategies**.

Every production strategy must:

-   Demonstrate a statistically significant edge.
-   Pass hold-out validation.
-   Pass BANKNIFTY validation.
-   Pass forward paper validation.
-   Be explainable to users.
-   Remain reproducible under Research Governance.

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# User Experience Vision

Default workflow:

Scan Market → Platform evaluates every validated strategy → AI ranks
opportunities → Confidence score + explanation → Confirm Trade

Advanced users may optionally choose:

-   Strategy
-   Timeframe
-   Risk : Reward

Only combinations validated by research should be selectable.

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# Quality Standard

Never show a Confirm Trade button unless the platform has sufficient
evidence.

If no strategy qualifies:

"No High-Confidence Trade"

is the correct answer.

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# Long-Term Goal

Create a research-first trading platform where:

-   Every signal is evidence-backed.
-   Every strategy is independently validated.
-   Every campaign teaches something valuable.
-   Failed strategies remain archived for institutional learning.
-   Only the strongest strategies reach production.
-   Users trust the platform because recommendations are based on
    evidence, not assumptions.

This roadmap complements Research Governance v1.0 and defines the
long-term product direction for Surani Algo.