About Greentick Trading LLC

What this is

ForexIPS is a search tool for the historical performance of common forex indicators. Inside the dashboard there are two pages that draw from it: the Query page reads the primary historical dataset, and the QTR Query page reads an ongoing quarterly dataset that is tagged by calendar quarter. Both share the same query-credit balance.

The primary dataset is 635,040 result rows covering 16 strategy types (14 indicator strategies plus SMA and EMA crossover grids), across 10 major spot FX pairs and 6 timeframes (M1, M5, M15, H1, H4, D1). Every indicator signal is run against a grid of 441 stop-loss by take-profit combinations, and each row can be sorted by total gain, win rate, Sharpe ratio, Sortino ratio, or reward-to-risk ratio. Every row is a bar-by-bar backtest on historical OHLC price data, simulated from 1 January 2019 through 31 December 2025. No futures, crypto, equities, or commodities are included for now.

The quarterly dataset on the QTR Query page covers the same 16 strategy types, pairs, and timeframes, run on each completed calendar quarter as its own batch and tagged with a quarter identifier that can be filtered on. Quarters are appended after they finish, so a given quarter only appears in the dataset once that quarter has completed.

The current product is focused on query access to these two research datasets.

Why it exists

A trader trying to learn indicators has plenty of places to start. Books, courses, and YouTube channels can teach how an indicator works and which setups people use. What is often not shown is the performance history across pairs, timeframes, and risk settings. ForexIPS is an attempt to help fill in that gap.

The simulations have already been run across a wide grid of setups, and the app exists so the results can be filtered and sorted instead of recomputed each time the same question comes up.

How the dataset is built

Every row in the database is produced under the same conservative defaults.

• One-bar shift on every indicator.Each signal on bar i is computed using only bar i−1 and earlier, so the simulation does not see information that would not have been visible at decision time.
• Stop-loss assumed first on M1 intrabar ties. When the stop and target both fall inside the same minute bar, the engine assumes the stop printed first. That is the more conservative outcome, by design.
• Recorded fill order on M5 and slower. Higher timeframes carry a per-bar high_first flag, so the engine knows whether the bar's high or low printed first instead of guessing.
• Net of commission. Every gain figure subtracts a per-trade commission in pips before it is stored, so the figure is not a frictionless one.
• Entries on the next bar's open. Signals fire at bar close and execute at the open of the following bar, a one-bar delay that mirrors how a real trader would respond.
• The full parameter grid is included.Every stop-loss × take-profit × pair × timeframe combination is in the dataset, including the losers, so the underlying distribution is visible alongside the top of the list.

What a backtest can and cannot tell you

A historical result is a screening tool. It can describe how a particular setup behaved across the simulated window. It cannot describe how the same setup will behave next month, in different volatility regimes, or against a specific broker's spread, swap rates, and slippage. The Trading Disclaimer goes into more detail on the limits of historical and hypothetical performance.

Scope and limits

• What the app does. The app is a query interface for historical backtest results. There are no trade-placement features, no alerting features, and no entry recommendations.
• Regulatory status.Greentick Trading LLC is not a registered investment advisor, broker-dealer, commodity trading advisor, or commodity pool operator. The company does not manage client money and does not take a percentage of anyone's trades. Please review the Trading Disclaimer and the Terms of Use before getting access.
• On future results. Past performance, whether actual or simulated, is not indicative of future results.
• Data cadence. The 2019 to 2025 historical grid is static. The quarterly dataset is appended only after a calendar quarter completes, so there is no live, real-time, or intra-quarter feed in either case.
• Personal use. Results render in your browser with a per-account email watermark, and copy, cut, and right-click are disabled on the results table. There is no export button. The product is intended for personal research and analysis.

Who is behind this

Greentick Trading LLC is a technology company domiciled in the State of Florida. It does not hold registrations as an investment advisor, broker-dealer, commodity trading advisor (CTA), or commodity pool operator (CPO).

Access is sold as an annual subscription that includes a recurring query-credit allowance which refills on a 30-day cycle for the duration of the paid term. The detailed terms, refund posture, and data handling live in the Terms of Use, No-Refund Policy, and Privacy Policy.

For support, billing, or privacy questions, email support@greenticktrading.com.