chore: add issue templates

Author: devraushan

.github/ISSUE_TEMPLATE/good-first-issue-1.md

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+---
+name: "Good First Issue: Add Bollinger Bands factor"
+about: Implement a simple Bollinger Bands factor example
+labels: good-first-issue
+---
+
+### Summary
+Add a new example factor `BollingerBandsFactor` under `src/quant_research_starter/factors/`.
+
+### Tasks
+- Create `bollinger.py` with a factor computing z-score of price vs. rolling band.
+- Export in `factors/__init__.py`.
+- Add unit tests in `tests/test_factors.py`.
+- Update README with a short mention.
+
+### Definition of Done
+- `pytest` passes and coverage unchanged or better.
+
+---
+name: "Good First Issue: Add New Simple Factor"
+title: "Factor Implementation: [Your Factor Name]"
+labels: ["good-first-issue", "enhancement", "factors"]
+assignees: []
+---
+
+## Description
+Add a new factor implementation to the factors module. This is a great first issue to understand how factors work in the framework.
+
+## Suggested Factor
+**Factor Name**: Liquidity Factor  
+**Description**: Measure trading liquidity using volume-based metrics
+
+## Implementation Steps
+1. Create new file `src/quant_research_starter/factors/liquidity.py`
+2. Implement a `LiquidityFactor` class inheriting from `Factor`
+3. Use trading volume (or synthetic volume) to compute liquidity measures
+4. Add basic tests in `tests/test_factors.py`
+5. Update `src/quant_research_starter/factors/__init__.py` to export the new factor
+
+## Code Example
+```python
+class LiquidityFactor(Factor):
+    def compute(self, prices: pd.DataFrame, volumes: pd.DataFrame = None) -> pd.DataFrame:
+        # Your implementation here
+        # Suggested: Use dollar volume or turnover as liquidity proxy
+        pass

.github/ISSUE_TEMPLATE/good-first-issue-2.md

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+---
+name: "Good First Issue: Add weekly/monthly rebalancing option"
+about: Add `rebalance_freq` support to `VectorizedBacktest`
+labels: good-first-issue
+---
+
+### Summary
+Teach `VectorizedBacktest` to rebalance weekly or monthly via a `rebalance_freq` parameter.
+
+### Tasks
+- Update `_should_rebalance` to respect `W` and `M` frequencies.
+- Add tests in `tests/test_backtest.py`.
+- Document in README.
+
+### Definition of Done
+- Tests pass; daily default unchanged.
+
+

.github/ISSUE_TEMPLATE/good-first-issue-3.md

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+---
+name: "Good First Issue: Add Plotly PnL chart to CLI"
+about: Enhance CLI to output interactive Plotly HTML chart
+labels: good-first-issue
+---
+
+### Summary
+Modify CLI backtest command to also save a Plotly HTML chart for PnL.
+
+### Tasks
+- Use Plotly to create an interactive equity curve.
+- Save to `output/backtest_plot.html`.
+- Add a unit smoke test that the file is created.
+
+### Definition of Done
+- CLI still supports Matplotlib PNG; Plotly HTML added.
+
+