Transforming Market Research, Correlations and Trading Experience into an Intelligent Automated Trading System by Yaipubi Chanu
I am currently working on the development of YAI — Powered by Ai, a proprietary trading algorithm and Expert Advisor (EA) designed to gradually automate the trading methodology I have developed through extensive observation, research and live-market experience.
The objective behind YAI is not simply to create another trading robot based on a few conventional technical indicators. I want to translate my understanding of price behaviour, liquidity, market sessions, correlations, volatility and reversal structures into a systematic framework capable of monitoring the market continuously and making decisions according to predefined logic.
More Than 30 Parameters Working Together
At the core of YAI will be a multi-parameter analytical engine designed to monitor more than 30 different market variables.
Markets rarely move because of one indicator or one isolated condition. A potential reversal may involve liquidity, session timing, price displacement, volatility, correlated assets and several other variables simultaneously.
YAI is therefore being developed around the principle of confluence rather than dependence on a single signal.
The algorithm will continuously evaluate these parameters and determine when multiple conditions begin aligning around an important price zone.
Session Shifts and Liquidity Mapping
One important component of YAI will be the study of session transitions and liquidity behaviour.
The Asian, European and U.S. trading sessions can create very different liquidity environments. Session highs and lows, liquidity sweeps, price expansion and subsequent reversals can provide important information about short-term market structure.
YAI will attempt to map these changes systematically rather than requiring me to monitor every development manually.
Data-Based Price Reversal Analysis
Another major part of the system will focus on data-driven price reversal behaviour.
Instead of treating every support or resistance level equally, YAI will evaluate whether historical behaviour, current price structure, liquidity conditions and other parameters provide sufficient confirmation around a particular area.
The objective is to distinguish ordinary price movement from situations where several independent variables indicate an increased probability of a meaningful reaction or reversal.
A 12-Combination Correlation Framework
Correlation research will form an important part of the YAI architecture.
During the last year, I have spent considerable time studying how movements across different markets interact with one another, particularly in relation to XAU/USD.
YAI is being designed to incorporate 12 different correlation combinations, allowing multiple relationships to be evaluated simultaneously rather than examining each market independently.
This creates a broader decision framework:
Price + Liquidity + Sessions + Data + Correlations + Confluence = Trading Decision
The purpose is not to assume that correlations remain constant. Instead, YAI will assess whether relevant relationships are currently aligned, diverging or potentially signalling a change in market conditions.
From Manual Trading to Intelligent Automation
Ultimately, YAI represents my attempt to convert a significant part of my manual trading process into an automated and repeatable system.
The intended workflow is:
Market Data → 30+ Parameters → Session Analysis → Liquidity Mapping → 12 Correlation Combinations → Confluence Detection → Reversal Probability → Risk Filters → Trade Decision → Automated Execution
The EA component will eventually allow qualifying decisions to be translated into actual trade execution according to predefined entry, position-management, risk and exit rules.
YAI — Powered by YAIPUBI is therefore more than an EA. It is being developed as a Trading Intelligence and Automation System—combining my market research and trading logic with the speed, consistency and discipline of algorithmic execution.
Transparency Through Live, Verifiable Performance
As part of the YAI — Powered by Ai – designed by YAIPUBI CHANU, I want transparency to be a fundamental principle rather than simply a marketing statement.
Instead of publishing only selected screenshots, individual profitable trades or self-reported performance figures, I intend to provide my community with read-only access to the trading account running the YAI EA, where technically and securely appropriate.
This will allow the community to independently observe the EA’s actual trading activity and evaluate its performance over time—including entries and exits, trading frequency, profitability, drawdowns, consistency and overall account performance.
The access will remain strictly read-only, meaning users will be able to monitor the account but will have no authority to place trades, modify positions, withdraw funds or control the account.
My objective is simple: let the trading record speak for the algorithm.
YAI will not be presented as a system that cannot lose or as a guarantee of future returns. Algorithmic trading involves risk, and historical or live performance cannot guarantee future results. The purpose of sharing verifiable performance is to create a higher standard of accountability and allow the community to judge YAI through transparent, observable trading data rather than claims alone.
YAI — Powered by YAIPUBI
Research. Automation. Execution. Transparency.
