Why I built this
Being a retail trader carries built-in weaknesses, and most of us lose money because of them. People say "work on your psychology" - partly true, but it is not the whole story. The bigger players have data we don't: if not inside information, then expensive terminals and feeds at levels we can't reach. I don't think retail traders should simply accept that.
But even with the data that is freely available, one person cannot be the economist, the professional trader, and the risk manager at the same time. The truth is, we are alone in this process. I tested machine-learning approaches on this problem myself, and I will be honest: they did not live up to expectations. So instead I gathered as much quality data as I could - eleven years of it - and ran statistics and mathematics on it, walk-forward and without shortcuts. What you see in this app is the result.
What it does for you
Gravity Cloud does not claim magical predictive power. It is not a holy grail. What it does is react to financial, economic and central-bank data so you don't have to master every macroeconomic variable yourself - or read commentaries that age badly by lunchtime. Each day it searches eleven years of history for the days that carried the same economic pressure as today, and shows you honestly what those days did next: the plausible price ranges (the clouds), the typical path of each scenario, and - just as important - the times when everything historically tends to change course: scheduled releases, central-bank moments, and session handoffs.
The force is there to see. Your own trading analysis stays in your hands. Combined, you walk into your session prepared.
The two pages: 23:00 and 07:00
Everything is built around two UTC checkpoints. The 23:00 page is your next-day preparation: made after New York closes, it maps the full day ahead - Asia, London and New York. The 07:00 page is the morning update: made as London opens, it refreshes the picture with everything the overnight session revealed. Check 23:00 the evening before, 07:00 with your coffee, and glance back during the day - the white line shows live price moving through (or out of) the clouds, and the shaded zones warn where a scenario switch is historically most likely.
For now it covers EURUSD and XAUUSD - the most retail-friendly pairs, with tight spreads and deep liquidity. More may follow.
The data behind it
Around 4.3 million one-minute price bars per asset (2015-present, UTC-clean), over 105,000 scheduled economic events with actual/estimate/previous values, roughly 10,000 exact-time central-bank events (decisions, press conferences, minutes, speeches), a hand-curated calendar of 81 major market shocks since 2015, futures positioning (COT) back to 2006, and US macro-cycle and risk-sentiment series.
How it works, briefly
Twice a day the system takes a snapshot of what the market "knows" - about 1,500 measurements of trend, volatility, session behaviour, event pressure, positioning and regime, and how long each condition has lasted. Eleven years of snapshots (~1,770 trading days per pair and checkpoint) form the library. Today's snapshot is matched against all of them; the most similar days are listed openly in the "today resembles" table, their next-24-hour paths become the clouds, and how they ended becomes the probabilities. Nothing on the chart is invented - every line comes from a real historical day.
How it was tested
Every layer was evaluated walk-forward - each historical prediction uses only what was knowable before that day - across more than 5,000 out-of-sample daily forecasts, and checked against naive baselines. Several machine-learning weighting schemes were built and rejected when they failed to beat simpler, more honest methods. A dedicated study of 5,356 cases confirmed that scenario changes cluster around scheduled events and session transitions - which is exactly what the risk zones on your chart mark.
What it is not
Not a signal service, not a prediction, not investment advice. It is preparation: the day's plausible paths, the days it resembles, and the moments to be careful - so that whatever your method is, you trade it prepared.