Work

Selected work

A few of the systems I have built: the platform, the market, the risk controls and what was handed over. Client names and strategy details stay anonymous under NDA.

EA · MT5 · XAUUSD M15

XAUUSD trend-filtered grid EA

A grid EA for gold that only adds levels in the direction of an EMA trend filter, with variable lot sizing, a take-profit per grid level and a hard daily loss limit.

PlatformMetaTrader 5 (MQL5)
MarketXAUUSD, M15
Risk controlsLevel cap, basket stop, daily loss limit
DeliveredSource, .set files, tester report, README

Client and strategy details anonymised under NDA.

Grid logic: most prop firms restrict grid and martingale systems, so this build was for personal capital, not a funded account.

Bot · Python · OANDA REST

EURUSD mean-reversion bot

Bollinger Band mean reversion on EURUSD M5, trading through OANDA’s REST API, with a daily P&L dashboard, email alerts and live risk limits.

PlatformPython 3, OANDA v20 REST + streaming
MarketEURUSD, M5
Risk controlsDaily loss cap, max exposure, kill switch
DeliveredSource, config, deployment notes, dashboard

Client and strategy details anonymised under NDA.

Indicator · MT4 · Multi-TF

Multi-timeframe confluence suite

RSI divergence, volume delta and trend structure combined across timeframes, delivered as an MT4 indicator suite with alerts and an on-chart dashboard panel.

PlatformMetaTrader 4 (MQL4)
MarketForex majors, multi-timeframe
OutputEA-readable buffers, push and email alerts
DeliveredSource, compiled files, user guide

Client and strategy details anonymised under NDA.

Reading the numbers

How to read any backtest figure, including mine.

  1. 01

    Ask for the method

    Symbol, timeframe, date range, data type and costs. A percentage without them tells you nothing.

  2. 02

    Look at the drawdown first

    The deepest drawdown and how long it lasted decide whether you could have kept trading through it.

  3. 03

    Count the trades

    A few dozen trades can produce almost any result by luck. A few hundred tell you more.

  4. 04

    Check what happened out of sample

    Results on data the settings were not tuned on are the ones that predict anything.

Clients

What clients say.

“He built a XAUUSD grid EA that has been running on my live account for four months without issues. The code is clean, the backtest report was detailed, and he was on WhatsApp throughout.”
Amol P.
Retail trader · Pune, India
“I described my strategy in plain English and got back a complete Python bot with risk controls and a live P&L dashboard in under two weeks.”
R.S.
Prop trader · Mumbai, India
“He understood our prop firm’s drawdown rules immediately and built them into the EA by default. The walk-forward results gave us confidence before going live.”
K.M.
Funded trader · Dubai, UAE

Testimonials reflect individual experiences and are not representative of all clients.

Tell me the strategy. I’ll tell you what it takes.

Fifteen minutes, no pitch. Mutual NDA before you describe anything you care about. You get an honest view of feasibility, timeline and price, even if the answer is “don’t build this”.

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