Market-Impact-Model

Unverified Other strategy on Indices by shubhamcodez. BotFinder score 18 out of 100.

The model focuses on predicting the impact of trading activities on stock prices using order flow imbalance, trading volume and price change

Source: github

Explorer/Indices/Market-Impact-Model
18
Data index
IndicesMedium risk⚠ Unverified

Market-Impact-Model

shubhamcodezGitHub
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Net return
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Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
2.5y
BotFinder Analysis

BotFinder analysis pending.

About

Market-Impact-Model

Market Impact Model Description This project aims to develop an impact model for algorithmic trading and quantitative strategies, inspired by Almgren et al.'s "Direct Estimation of Equity Market Impact." Reference: Direct Estimation of Equity Market Impact Objective The main objective is to build an impact model that can accurately estimate the market impact of trading activities using trading volume, price movements, and stock liquidity. Data - Utilizes the TAQ dataset, focusing on a subset of S&P 500 stocks for liquidity. - Uses average daily value traded instead of average daily volume traded to account for stock splits. - Data processing involves computing various metrics such as mid-quote returns, total daily value, arrival price, value imbalance, volume-weighted average price, and terminal price. Methodology 1. Preprocess data to obtain daily value traded, volatility, imbalance, terminal, and arrival price. 2. Use these variables as input for a non-linear regression to get eta and beta parameters in the temporary impact equation. Running the Code To run the code, follow these s

Jupyter NotebookOpen-sourcealgorithmic-tradingquantitative-trading
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
shubhamcodez
Since 2022 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars38
Forks10
Open issues0
LanguageJupyter Notebook
License—
Last update2024-05-20
Created2024-03-23
Website
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