Oziway AI predictions leaderboard

Welcome to the Oziway AI predictions leaderboard.
Every day we analize different asset groups (crypto, forex, commodities, stocks and indeces) to make short term predictions.
Short term is measured in hours or days (8h, 24h, 3d, 7d) - not weeks or months. This is ideal for intra day or even swing traders that want to catch the UPs and DOWNs several times during a short period of time (oscillators)
Here, we do not show live predictions, we show which instruments (assets) are predictable, full stats are on the statistics page
Essentially, this is a page which shows the health of the prediction engine (does it predict anything and if yes, how well).
LIVE PREDICTIONS are available by clicking on any symbol
ATTENTION: Live predictions are temporarily available for everyone (soon only to selected users).

This leaderboard only shows symbols/timeframes which are predicted with at least 80% accuracy and are based on at least 5 predictions in the selected time window.

symbol	tf	accuracy	n(7d)
DOGE	1h	100%	6
DOGE	30m	100%	8
GBPUSD	4h	100%	9
SOL	1h	100%	21
XRP	30m	100%	14
DOGE	4h	95.2%	21
LTC	1h	93.5%	31
XMR	4h	92.9%	14
XMR	1h	88.1%	42
BTC	1h	87.5%	16
BTC	30m	85.7%	7
BNB	1h	82.5%	40

symbol

accuracy

n(7d)

DOGE

100%

DOGE

30m

100%

GBPUSD

100%

SOL

100%

XRP

30m

100%

DOGE

95.2%

LTC

93.5%

XMR

92.9%

XMR

88.1%

BTC

87.5%

BTC

30m

85.7%

BNB

82.5%

LEGEND

tf (timeframe) – Prediction timeframe:
1h → ~8h prediction window
4h → ~24h prediction window
1d → ~3–4 day prediction window (asset-dependent)

accuracy – Percentage of correct predictions in the selected time window
Calculated as: correct predictions ÷ total predictions (for this direction)

n(7d) – Number of predictions used to calculate accuracy (predictions are limited to the last 7 days)
Counted per direction (UP or DOWN), not combined Please note that this is the nr of predictions for the latest trained MODEL. When we retrain our systems, this number will reset. It does not mean that we have not predicted a given asset before, it means that the newest model has just been started.