Israel-focused quant research platform

Model-based market estimates for Israeli markets

TrendAviv publishes the outputs of a proprietary market model for Israeli markets, with core focus on TASE indices and ILS FX. Each asset page combines current model result with visible validation metrics such as accuracy, MAE edge and average error.

Israel-focused coverage Signal, target and expected range Accuracy, MAE edge and avg. error visible Model estimates, not investment advice
Israel-focused coverage
Published validation layer
Horizon-specific estimates
Multilingual research pages
Not investment advice
The core value of TrendAviv is the model itself. It was created specifically for Israeli markets and tuned to local market structure, ILS sensitivity, macro context and changing risk regimes. We prefer traceable inputs and disciplined outputs: primary market data from TASE Data Hub, FX and macro series from Bank of Israel, and structured news signals from GDELT. Each published signal is tied to a defined horizon and framed through risk-aware interpretation.

Why users trust the model

A financial model only earns attention if users can see what it covers, when it was refreshed and how its outputs should be read. TrendAviv presents the model as a practical decision-support layer for Israeli markets, not as a black-box slogan.

TRANSPARENCY

Model-driven output

Each covered instrument is presented through the site's proprietary model output, with timestamps for the data snapshot and the latest calculation run.

HORIZON

Built for Israeli markets

The framework was built around Israeli-market specifics rather than copied from a generic global template. That includes the way local benchmarks, ILS-linked dynamics and market regimes are interpreted.

EVALUATION

Defined horizons and validation

Outputs are published for stated horizons and monitored in ongoing forward testing. The goal is not theatrical certainty but disciplined validation as the live track record grows.

RISK

Free beta access

The current public version is available free as a beta test of the model experience and reporting layer. Access, scope or pricing may change as the project matures.

Data sources and attribution

For Israeli markets we prefer primary sources. Where public market-data providers are used for convenience, we show the source per quote and keep the focus on consistency and timestamps.

PRIMARY

TASE Data Hub

Core exchange datasets for Israeli indices and market structure. Used as the primary reference for TASE instruments.

PRIMARY

Bank of Israel

FX reference rates, macro series and official publications that matter for ILS FX and the broader Israeli macro backdrop.

FEATURES

GDELT Project

Structured global news signals. Used as sentiment and event-proxy features, not as “prediction of events”.

ACCESS LAYER

Public market-data providers

May be used for broad global instruments (e.g., commodities). Availability and timestamps can vary.

What the model covers

TrendAviv is first and foremost a model product. The website exists to publish the outputs of a proprietary financial model created for Israeli markets, while also tracking the outside variables that materially affect them. The focus is on measurable forecasts, modeled levels and risk context.

TASE indices and equities

Coverage starts with the major benchmarks (TA-35, TA-125) and extends to sector lenses. Models look at returns, volatility regime shifts, cross-asset links and sentiment proxies to produce daily drift, quant levels and volatility.

ILS FX (USD/ILS, EUR/ILS)

USD/ILS is sensitive to liquidity, macro differentials and policy headlines. We combine market behavior features and macro context to publish drift, S1/R1 levels and volatility estimates for disciplined execution.

Macro-linked commodities

Benchmarks like Brent and gold often shape risk narratives. We track them as context and correlation anchors, not as stand-alone “trade calls”.

About the model

TrendAviv is built around a proprietary quantitative model rather than a discretionary commentary feed. We intentionally keep some implementation details private, but the broad principle is simple: the model is designed for Israeli markets, combines multiple market and macro inputs, and is continuously checked through out-of-sample workflows.

Step one: estimate macro spreads and the volatility regime (a Geometric Brownian Motion baseline) to define a prior drift and uncertainty.

Step two: an ensemble (Random Forest + XGBoost) learns nonlinear interactions across features, then outputs drift, S1/R1 quant levels and a volatility estimate for a defined horizon. Forward testing helps keep the system honest across changing regimes.

🏦 Macro & rate spreads (BoI vs global)
📉 Volatility regime (GBM baseline)
📰 News signals (NLP features)
Ensemble ML core (Random Forest + XGBoost)
🎯 Quant levels (S1/R1)
📈 Drift + volatility estimate
home_team_p About

How to read model snapshots

Each card is a compact model snapshot: current estimate, expected range and a short validation proof for the active horizon.

01

Current model estimate

The main number on the card is the current model estimate for the selected horizon, not just a live market quote.

02

Expected range

The range shows where the model expects the instrument to trade probabilistically over the active horizon.

03

Validation proof

Accuracy, MAE Edge and average MAE give a quick view of how the model has behaved on resolved historical runs.

04

Open the asset page

Every card links directly to the full asset page, where the user can inspect the active signal, range, validation and context in detail.

Model snapshots: signals and validation

Each card shows a live model output for an instrument: current estimate, expected range and compact validation metrics for the active horizon.

BONDS T+1

Bonds (Israel 10Y)

Model estimate
96.00
Neutral bias Spot: 96.00
Expected range:95.35 - 96.66
Accuracy:53.0%
MAE Edge:4.6%
Coverage:96.0%
BONDS T+1

Tel Gov Shekel 0-2

Model estimate
368.45
Neutral bias Spot: 368.45
Expected range:368.00 - 368.90
Accuracy:33.5%
MAE Edge:0.0%
Coverage:90.5%
BONDS T+1

Tel Gov Shekel 5-10

Model estimate
519.73
Neutral bias Spot: 519.73
Expected range:517.11 - 522.36
Accuracy:57.5%
MAE Edge:4.2%
Coverage:92.0%
BONDS T+1

Tel Gov CPI Linked 2-5

Model estimate
310.07
Neutral bias Spot: 310.07
Expected range:309.69 - 310.45
Accuracy:52.5%
MAE Edge:0.0%
Coverage:93.0%
BONDS T+1

Tel Bond-20 CPI Linked

Model estimate
426.38
Neutral bias Spot: 426.38
Expected range:424.78 - 427.99
Accuracy:58.5%
MAE Edge:5.9%
Coverage:95.0%
COMMODITIES T+1

GOLD (Gold Futures)

Model estimate
5,169.03
Bearish bias Spot: 5,190.40
Expected range:5,013.50 - 5,329.39
Accuracy:52.5%
MAE Edge:-0.2%
Coverage:88.5%
EQUITIES T+1

NICE Ltd (Tech Sector)

Model estimate
37,147.31
Bearish bias Spot: 37,280.00
Expected range:34,623.56 - 39,855.03
Accuracy:57.5%
MAE Edge:1.0%
Coverage:91.5%
EQUITIES T+1

Elbit Systems

Model estimate
885.26
Bullish bias Spot: 881.17
Expected range:843.25 - 929.37
Accuracy:59.5%
MAE Edge:2.1%
Coverage:90.5%
EQUITIES T+1

Nova

Model estimate
429.83
Bearish bias Spot: 435.77
Expected range:407.72 - 453.13
Accuracy:55.0%
MAE Edge:0.0%
Coverage:87.0%
EQUITIES T+1

Tower Semiconductor

Model estimate
118.82
Bearish bias Spot: 119.44
Expected range:110.96 - 127.25
Accuracy:56.5%
MAE Edge:1.0%
Coverage:89.5%
EQUITIES T+1

Teva

Model estimate
30.64
Bullish bias Spot: 30.47
Expected range:29.80 - 31.49
Accuracy:55.5%
MAE Edge:-4.5%
Coverage:89.5%
EQUITIES T+1

ICL

Model estimate
5.23
Bullish bias Spot: 5.22
Expected range:4.98 - 5.50
Accuracy:59.0%
MAE Edge:3.0%
Coverage:89.5%
FOREX T+1

EUR / ILS

Model estimate
3.4704
Bearish bias Spot: 3.4844
Expected range:3.4470 - 3.4940
Accuracy:58.5%
MAE Edge:8.5%
Coverage:79.5%
FOREX T+1

USD / ILS

Model estimate
3.1133
Neutral bias Spot: 3.1120
Expected range:3.0899 - 3.1368
Accuracy:60.0%
MAE Edge:6.2%
Coverage:82.0%
FOREX T+1

GBP / ILS

Model estimate
4.1424
Bearish bias Spot: 4.1624
Expected range:4.1143 - 4.1707
Accuracy:59.0%
MAE Edge:7.9%
Coverage:80.5%
INDICES H5

Index TA-35

Model estimate
4,239.35
Bullish bias Spot: 4,157.30
Expected range:4,018.87 - 4,471.92
Accuracy:58.0%
MAE Edge:8.8%
Coverage:84.0%
INDICES H5

Index TA-125

Model estimate
4,178.70
Bullish bias Spot: 4,102.64
Expected range:3,953.53 - 4,416.68
Accuracy:60.5%
MAE Edge:6.1%
Coverage:83.5%
INDICES H5

Index of Banks (TA-Banks5)

Model estimate
7,454.95
Bullish bias Spot: 7,346.00
Expected range:6,928.17 - 8,021.79
Accuracy:59.0%
MAE Edge:9.1%
Coverage:96.0%
INDICES H5

TA-90

Model estimate
4,043.14
Bullish bias Spot: 3,923.48
Expected range:3,788.25 - 4,315.17
Accuracy:61.5%
MAE Edge:4.5%
Coverage:82.0%
INDICES H5

TA-Technology

Model estimate
2,410.53
Bullish bias Spot: 2,370.74
Expected range:2,267.26 - 2,562.86
Accuracy:58.0%
MAE Edge:7.3%
Coverage:77.0%
INDICES H5

VTA35

Model estimate
22.15
Bullish bias Spot: 22.09
Expected range:15.29 - 32.09
Accuracy:59.5%
MAE Edge:2.1%
Coverage:86.0%
INDICES H5

TA-SME60

Model estimate
1,381.33
Bullish bias Spot: 1,368.13
Expected range:1,313.02 - 1,453.18
Accuracy:62.0%
MAE Edge:6.1%
Coverage:81.0%
INDICES H5

TA-Finance

Model estimate
10,974.78
Bullish bias Spot: 10,686.19
Expected range:10,106.84 - 11,917.26
Accuracy:61.0%
MAE Edge:9.3%
Coverage:80.5%

FAQ

Short, practical answers about the model, its outputs, validation and the current beta format.

What is TrendAviv really offering?

At its core, TrendAviv offers access to the outputs of a proprietary financial model built specifically for Israeli markets. The site presents forecast-oriented research and market context, not personalized investment advice or a recommendation to buy or sell any security.

Why is the model presented as Israel-first?

Because the framework was created around the behavior of Israeli financial markets rather than around a generic global template. That includes TASE benchmarks, ILS-linked dynamics and the local macro environment that often shapes price behavior.

How do you reduce overfitting and look-ahead bias?

We use out-of-sample workflows and walk-forward logic to avoid peeking into the future. The focus is on stability across regimes, not perfect historical curves.

Do you use RSI, MACD and other technical indicators?

Sometimes, yes, but as features in a larger model rather than as rule-based trade triggers. We combine them with macro and regime features.

Is the service free?

At this stage, access is provided free as part of a public beta / early testing phase. That free access may change later as the model, reporting layer and coverage continue to develop.

Daily model digest (public beta)

Get a daily pre-open email built around the model: forecast bias, levels, volatility context and short notes on what changed in the backdrop. Access is currently free in beta while the product and validation history continue to mature.

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