Optimize Pocket Option Trading Bot

I already have a fully developed and operational Pocket Option trading bot. I am NOT looking for someone to build another bot.

I am looking for an experienced algorithmic trading / quantitative strategy specialist who can analyze, backtest, optimize, and fine-tune the settings and strategies already built into my bot.

What I need

* Review my existing trading strategies and configurable settings.
* Optimize indicator parameters and confirmation rules.
* Include all Pocket Option OTC pairs in the optimization process.
* Evaluate short-duration trades, including approximately 5–30 second expirations where appropriate.
* Test different combinations of my existing indicators and filters.
* Determine which settings perform best for each currency pair.
* Identify market conditions where the bot should issue NO TRADE rather than force an entry.
* Backtest strategies using a meaningful sample of historical trades/data.
* Perform forward testing using a demo account.
* Test strategies on data that was not used during optimization to reduce overfitting.

Results I expect

For every recommended configuration, I want documentation showing:

* Number of trades tested
* Wins and losses
* Win rate
* Maximum consecutive wins/losses
* Drawdown
* Performance by currency pair
* Performance by strategy
* Performance by expiration/timeframe
* Recommended indicator settings
* Recommended entry/confirmation thresholds
* Conditions under which the bot should NOT trade

My objective is to find the highest sustainable and statistically supported win rate, not to receive an unrealistic guarantee of a specific percentage.

Important

The bot is already built and operational. This project is primarily strategy optimization, quantitative analysis, backtesting and forward testing—not software development.

Please apply only if you have experience with:

* Algorithmic/quantitative trading
* Binary or fixed-time trading
* Pocket Option or similar platforms
* Short-duration trading strategies
* Technical indicators
* Python/data analysis
* Backtesting
* Walk-forward/out-of-sample validation
* Trading risk management
When applying, please show examples of trading strategies or automated trading systems you have previously tested or optimized and explain how you would validate my strategies without overfitting them to historical data.
I will begin with demo-account testing before considering real-money deployment.