DeFiStar.io

Real-time Stablecoin Yields Tracker

Predictive Intelligence Dashboard

Meta-analysis combining four prediction engines (APY, Reliability, TVL, Forecast) plus experimental GARCH-LSTM Neural Networks.

17.3%
System Accuracy
231
Verified Predictions
27
Active Neural Models

Standard Engine Performance

APY Momentum
50%
22 Verified
Reliability Index
23.1%
13 Verified
TVL Momentum
26.8%
41 Verified
Util Forecast
9.7%
155 Verified

Super Pools (Multi-Engine Agreement)

Building multi-engine dataset...

Deep Learning Horizon (GARCH-LSTM) BETA

Neural Network Analysis Active
This section displays predictions from our Python-based GARCH-LSTM engine. Models are trained on historical APY, TVL, and Utilization data to forecast volatility and future values. Confidence Score > 65% required for display.
Prediction Window: 7 Days | Forecasts verified after target date passes
Audit
FRAX
Aave V3 โ€ข Arbitrum
APY MODEL
0.92% โ†’ 0.92%
FLAT
Conf: 99.00%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
FRAX
Aave V3 โ€ข Ethereum
TVL MODEL
$0.2M โ†’ $0.2M
FLAT
Vol: 0.13
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
LUSD
Aave V3 โ€ข Arbitrum
APY MODEL
2.16% โ†’ 2.16%
FLAT
Conf: 99.00%
TVL MODEL
$0.2M โ†’ $0.2M
FLAT
Vol: 0.04
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
DAI
Spark โ€ข Ethereum
APY MODEL
3.17% โ†’ 3.17%
FLAT
Conf: 99.00%
TVL MODEL
$385.4M โ†’ $385.2M
FLAT
Vol: 0.17
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDS
Spark โ€ข Ethereum
APY MODEL
3.04% โ†’ 3.04%
FLAT
Conf: 99.00%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
LUSD
Aave V3 โ€ข Ethereum
APY MODEL
1.99% โ†’ 1.99%
FLAT
Conf: 90.89%
TVL MODEL
$1.9M โ†’ $1.9M
FLAT
Vol: 0.15
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
DAI
Aave V3 โ€ข Optimism
TVL MODEL
$1.3M โ†’ $1.3M
FLAT
Vol: 0.16
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDC
Compound V3 โ€ข Arbitrum
APY MODEL
2.25% โ†’ 2.26%
FLAT
Conf: 96.73%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDC
Compound V3 โ€ข Optimism
APY MODEL
3.16% โ†’ 3.15%
FLAT
Conf: 95.67%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDC
Aave V3 โ€ข Gnosis
APY MODEL
0.02% โ†’ 0.02%
UP
Conf: 95.00%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
PYUSD
Spark โ€ข Ethereum
APY MODEL
2.00% โ†’ 2.01%
FLAT
Conf: 93.93%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
DAI
Aave V3 โ€ข Arbitrum
TVL MODEL
$7.2M โ†’ $7.2M
FLAT
Vol: 0.12
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDT
Compound V3 โ€ข Ethereum
TVL MODEL
$222.2M โ†’ $222.3M
FLAT
Vol: 0.25
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDbC
Aave V3 โ€ข Base
APY MODEL
2.01% โ†’ 2.01%
FLAT
Conf: 90.27%
TVL MODEL
$0.6M โ†’ $0.6M
FLAT
Vol: 0.40
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
DAI
Aave V3 โ€ข Ethereum
TVL MODEL
$204.6M โ†’ $204.6M
FLAT
Vol: 0.25
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
GHO
Aave V3 โ€ข Base
APY MODEL
3.39% โ†’ 3.39%
FLAT
Conf: 89.34%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDT
Compound V3 โ€ข Arbitrum
TVL MODEL
$23.0M โ†’ $23.0M
FLAT
Vol: 1.08
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDT
Spark โ€ข Gnosis
APY MODEL
0.65% โ†’ 0.65%
FLAT
Conf: 90.24%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
EURC
Aave V3 โ€ข Base
APY MODEL
1.11% โ†’ 1.11%
FLAT
Conf: 87.57%
TVL MODEL
$24.2M โ†’ $24.2M
FLAT
Vol: 0.73
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDC
Compound V3 โ€ข Base
APY MODEL
3.44% โ†’ 3.44%
FLAT
Conf: 89.90%
TVL MODEL
$15.9M โ†’ $15.9M
FLAT
Vol: 0.36
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
steakUSDC
Morpho โ€ข Ethereum
TVL MODEL
$427.6M โ†’ $429.0M
FLAT
Vol: 0.52
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
crvUSD
Aave V3 โ€ข Ethereum
TVL MODEL
$0.3M โ†’ $0.3M
FLAT
Vol: 0.73
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDe
Aave V3 โ€ข Ethereum
TVL MODEL
$1,092.1M โ†’ $1,092.5M
FLAT
Vol: 0.47
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDT
Aave V3 โ€ข Optimism
APY MODEL
2.47% โ†’ 2.47%
FLAT
Conf: 87.59%
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDC
Aave V3 โ€ข Base
TVL MODEL
$420.1M โ†’ $420.2M
FLAT
Vol: 0.23
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDT
Compound V3 โ€ข Optimism
APY MODEL
3.16% โ†’ 3.16%
FLAT
Conf: 86.25%
TVL MODEL
$4.4M โ†’ $4.4M
FLAT
Vol: 0.83
Verifies: 26 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0
USDC
Aave V3 โ€ข Avalanche
TVL MODEL
$146.6M โ†’ $146.4M
FLAT
Vol: 0.58
Verifies: 28 Jan 2026
7-day forecast window
Model: garch_lstm_v2.0

Recent Signal Combinations

Prediction Type Performance

Yield: heating up
40%
Yield: cooling down
71%
Reliability: maintain legendary
50%
Reliability: maintain robust
0%
Tvl: capital inflow
31%
Tvl: capital flight
11%

The Science of Multi-Engine Predictive Analysis

The DeFiStar.io Predictive Intelligence Dashboard represents the first comprehensive meta-analysis platform in decentralised finance.

Rather than relying on a single predictive model, we synthesise signals from four independent Prediction Engine V1s, plus a beta-stage Deep Learning layer.

About the GARCH-LSTM Neural Layer

The predictions above are generated by a Python-based deep learning engine that operates alongside our standard PHP algorithms. It uses Long Short-Term Memory (LSTM) networks to learn sequential patterns in yield and liquidity data, combined with GARCH (Generalized Autoregressive Conditional Heteroskedasticity) to model volatility clustering.

Each prediction forecasts 7 days into the future and is verified when the target date arrives. The system trains separate models for each pool-metric combination and continuously learns from new data through incremental training. Predictions shown above have confidence scores greater than 65% and are awaiting verification.

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HOURLY SYNC: ACTIVE
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Sync Tolerance: <60s Drift Verified | Sampling: 24/24 Snapshot Density | Auth Tag: DFS-260123-1200-17ad | Precision: Institutional (Hourly)
Support DeFiStar.io via Citation
Source: DeFiStar.io (2026). "DeFi Yield Analytics". Analytics by MooniTooki. Ref: DFS-260123-1200-17ad. Retrieved 23 Jan 2026, 12:00 UTC
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INFO
NEURAL AUDIT
Deep learning model performance tracking.
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