Institutional Trading

The dataset provides a comprehensive analysis of institutional investment behaviors, strategies, and portfolio dynamics assist professional investors in making informed decisions.

Data is updated quarterly as data arrives after market close US-EST time.

Tutorials are the best documentation — Insitutional Trading Tutorial

Input Datasets

13F Filings, Market Data

Models Used

Simple Calculations, Aggregations

Model Outputs

Standardized Ratios

Description

This dataset provides comprehensive analysis of institutional investment behaviors, including metrics on fund ratios, growth, derivative usage, and portfolio dynamics.

It offers investors valuable insights into market trends, risk profiles, investment strategies, and fund flows, enabling informed decision-making in institutional trading.

Data Access

Institutional Trading Data

This data is around 1GB if you download the entire dataset.

from sovai import sov
df_institute = sov.data("institutional/trading")

Filtered Dataset

from sovai import sov
df_institute = sov.data("institutional/trading", start_date="2004-04-30", tickers=["MSFT"])

Reports

Grouped ranking

import sovai as sov
sov.report("institutional/flow_prediction", report_type="ranking")

Plots

Institutional Flow Prediction

import sovai as sov
sov.plot("institutional", chart_type="prediction")

Grouped Plot

import sovai as sov
sov.plot("institutional", chart_type="flows")

Data Dictionary

NameDescriptionType

std_percentoftotal_fund_median

Rolling standard deviation of 'percentoftotal' over the last 4 quarters for each investor.

float64

std_put_call_ratio_fund_median

Rolling standard deviation of the put-call ratio over the last 4 quarters for each investor.

float64

std_derivative_ratio_fund_median

Rolling standard deviation of the derivative ratio over the last 4 quarters for each investor.

float64

derivative_ratio_fund_median

Ratio of the sum of put value and call value to share value for each investor.

float64

put_call_ratio_fund_median

Put-call ratio calculated as the difference between put value and call value divided by their sum for each investor.

float64

fund_ratio_fund_median

Ratio of fund value to share value for each investor.

float64

debt_ratio_fund_median

Ratio of debt value to share value for each investor.

float64

preferred_ratio_fund_median

Ratio of preferred stock value to share value for each investor.

float64

totalvalue_median

Median of the total value of holdings for each investor.

float64

percentoftotal_median

Median of the percentage of total holdings for each investor.

float64

shrholdings_growth_median

Median of the percentage growth in shareholdings for each investor.

float64

totalvalue_growth_median

Median of the percentage growth in total value for each investor.

float64

put_call_ratio_fund_growth_median

Median of the percentage growth in put-call ratio for each investor.

float64

derivative_ratio_fund_growth_median

Median of the percentage growth in derivative ratio for each investor.

float64

market_tilt_pca_median

Median of the market tilt component calculated through PCA for each investor.

float64

sector_tilt_pca_median

Median of the sector tilt component calculated through PCA for each investor.

float64

strategy_tilt_pca_median

Median of the strategy tilt component calculated through PCA for each investor.

float64

quantitative_tilt_pca_median

Median of the quantitative tilt component calculated through PCA for each investor.

float64

instrument_tilt_pca_median

Median of the instrument tilt component calculated through PCA for each investor.

float64

weight_variability_median

Median of the variability in weightings for each investor's portfolio.

float64

weight_mean_median

Median of the mean weights of holdings in each investor's portfolio.

float64

weight_coff_variance_median

Median of the coefficient of variance of weights in each investor's portfolio (variability relative to mean weight).

float64

weight_max_median

Median of the maximum weight in each investor's portfolio.

float64

weight_kurtosis_median

Median of the kurtosis of weights in each investor's portfolio (measure of the 'tailedness' of the distribution of weights).

float64

weight_skew_median

Median of the skewness of weights in each investor's portfolio (measure of asymmetry of the distribution of weights).

float64

num_investments_median

Median number of investments in each investor's portfolio.

float64

new_investments_median

Median ratio of new investments to total investments in each investor's portfolio.

float64

divestments_median

Median ratio of divestments to total investments in each investor's portfolio.

float64

new_investments_to_divestments_median

Median ratio of new investments to divestments in each investor's portfolio.

float64

portfolio_turnover_median

Median portfolio turnover, measuring changes in portfolio composition, for each investor.

float64

net_change_to_investments_median

Median of the net change to investments, indicating the net inflow or outflow, in each investor's portfolio.

float64

uncorrelated_percentile_median

Median of the uncorrelated percentile, indicating the degree of uncorrelation in each investor's portfolio components.

float64

flow_percentage_mean_median

Median of the mean flow percentage, indicating the average flow relative to the value, in each investor's portfolio.

float64

performance_value_mean_median

Median of the mean performance value, indicating the average value of performance, in each investor's portfolio.

float64

fund_return_quarter_median

Median return of funds for each investor, calculated quarterly.

float64

fund_flows_percent_quarter_median

Median percentage of fund flows for each investor, calculated quarterly.

float64

std_percentoftotal_fund_std

Standard deviation of the rolling standard deviation of 'percentoftotal' over the last 4 quarters for each investor.

float64

std_put_call_ratio_fund_std

Standard deviation of the rolling standard deviation of the put-call ratio over the last 4 quarters for each investor.

float64

std_derivative_ratio_fund_std

Standard deviation of the rolling standard deviation of the derivative ratio over the last 4 quarters for each investor.

float64

derivative_ratio_fund_std

Standard deviation of the derivative ratio for each investor.

float64

put_call_ratio_fund_std

Standard deviation of the put-call ratio for each investor.

float64

fund_ratio_fund_std

Standard deviation of the fund ratio for each investor.

float64

debt_ratio_fund_std

Standard deviation of the debt ratio for each investor.

float64

preferred_ratio_fund_std

Standard deviation of the preferred stock ratio for each investor.

float64

totalvalue_std

Standard deviation of the total value of holdings for each investor.

float64

percentoftotal_std

Standard deviation of the percentage of total holdings for each investor.

float64

shrholdings_growth_std

Standard deviation of the growth in the number of shareholdings for each investor.

float64

totalvalue_growth_std

Standard deviation of the growth in the total value of holdings for each investor.

float64

put_call_ratio_fund_growth_std

Standard deviation of the growth in the put-call ratio for each investor.

float64

derivative_ratio_fund_growth_std

Standard deviation of the growth in the derivative ratio for each investor.

float64

market_tilt_pca_std

Standard deviation of the market tilt principal component analysis (PCA) for each investor.

float64

sector_tilt_pca_std

Standard deviation of the sector tilt principal component analysis (PCA) for each investor.

float64

strategy_tilt_pca_std

Standard deviation of the strategy tilt principal component analysis (PCA) for each investor.

float64

quantitative_tilt_pca_std

Standard deviation of the quantitative tilt principal component analysis (PCA) for each investor.

float64

instrument_tilt_pca_std

Standard deviation of the instrument tilt principal component analysis (PCA) for each investor.

float64

weight_variability_std

Standard deviation of the variability of weights of holdings in each investor's portfolio.

float64

weight_mean_std

Standard deviation of the mean weights of holdings in each investor's portfolio.

float64

weight_coff_variance_std

Standard deviation of the coefficient of variance of weights in each investor's portfolio.

float64

weight_max_std

Standard deviation of the maximum weight in each investor's portfolio.

float64

weight_kurtosis_std

Standard deviation of the kurtosis of weights in each investor's portfolio.

float64

weight_skew_std

Standard deviation of the skewness of weights in each investor's portfolio.

float64

num_investments_std

Standard deviation of the number of investments in each investor's portfolio.

float64

new_investments_std

Standard deviation of the ratio of new investments to total investments in each investor's portfolio.

float64

divestments_std

Standard deviation of the ratio of divestments to total investments in each investor's portfolio.

float64

new_investments_to_divestments_std

Standard deviation of the ratio of new investments to divestments in each investor's portfolio.

float64

portfolio_turnover_std

Standard deviation of portfolio turnover, measuring changes in portfolio composition, for each investor.

float64

net_change_to_investments_std

Standard deviation of the net change to investments, indicating the net inflow or outflow, in each investor's portfolio.

float64

uncorrelated_percentile_std

Standard deviation of the uncorrelated percentile, indicating the degree of uncorrelation in each investor's portfolio components.

float64

flow_percentage_mean_std

Standard deviation of the mean flow percentage, indicating the average flow relative to the value, in each investor's portfolio.

float64

performance_value_mean_std

Standard deviation of the mean performance value, indicating the average value of performance, in each investor's portfolio.

float64

fund_return_quarter_std

Standard deviation of quarterly fund returns for each investor.

float64

fund_flows_percent_quarter_std

Standard deviation of quarterly fund flows percentage for each investor.

float64

totalvalue

Total value of holdings for each investor.

float64

total_derivatives

Total value of derivative holdings (puts and calls) for each investor.

float64

percentoftotal

Percentage of total holdings for each investor.

float64

growth_totalvalue

Growth rate of the total value of holdings for each investor.

float64

growth_shrholders

Growth rate of the number of shareholders for each investor.

float64

growth_shrvalue

Growth rate of the share value for each investor.

float64

growth_percentoftotal

Growth rate of the percentage of total holdings for each investor.

float64

growth_shrholder_value_divergence

Divergence between growth rates of share value and shareholders for each investor.

float64

diversification_score_ticker

Score indicating the level of diversification in the portfolio based on the presence of different types of investments.

float64

derivative_ratio_ticker

Ratio of derivative holdings to share value for each ticker.

float64

derivative_holder_ratio

Ratio of derivative holders to total shareholders for each ticker.

float64

derivative_holder_value_divergence

Divergence between derivative holder ratio and derivative ratio for each ticker.

float64

short_interest

Value of short interest (put value minus share value) for each ticker.

float64

security_concentration

Concentration of security, calculated as share value divided by total value, for each ticker.

float64

put_call_ratio_ticker

Put-call ratio for each ticker, calculated as the difference between put and call values divided by their sum.

float64

put_call_holder_ratio

Put-call holder ratio for each ticker, calculated as the difference between put and call holders divided by their sum.

float64

put_holder_value_sentiment_divergence

Divergence between put-call holder ratio and put-call ratio, indicating sentiment divergence for each ticker.

float64

value_per_holder

Average value per holder for each ticker.

float64

debt_equity_ratio

Ratio of debt value to equity value for each ticker.

float64

historical_high_sharevalue

Historical highest share value for each ticker.

float64

percentage_from_high_sharevalue

Percentage difference from historical high share value for each ticker.

float64

previous_high_sharevalue

Previous highest share value for each ticker.

float64

percentage_above_previous_high

Percentage above the previous highest share value for each ticker.

float64

overweight

Indicator of overweight investment in a particular ticker.

float64

allocation_pressure_percentile

Percentile rank of allocation pressure for each ticker, indicating the degree of pressure on allocation.

float64

net_flows_sum

Sum of net flows for each ticker over the given period.

float64

net_flows_max

Maximum net flow for each ticker over the given period.

float64

net_flows_std

Standard deviation of net flows for each ticker over the given period.

float64

net_flows_mean

Mean of net flows for each ticker over the given period.

float64

net_flows_inflow_outflow_value_ratio

Ratio of inflows to outflows in terms of value for each ticker.

float64

net_flows_inflow_outflow_count_ratio

Ratio of the number of inflows to outflows for each ticker.

float64

appreciation_value_sum

Sum of appreciation value for each ticker over the given period.

float64

new_value_sum

Sum of new value for each ticker over the given period.

float64

turnover_percentage_median

Median of turnover percentage for each ticker over the given period.

float64

quarter_return

Return for each ticker in the quarter.

float64

quarter_flows

Flows for each ticker in the quarter.

float64

derivative_overloaded

Indicator of high derivative concentration for each ticker.

float64

put_overloaded

Indicator of high put option concentration for each ticker.

float64

Feature Descriptions

  1. Standard Deviation Metrics (Columns 0-38)

    • Purpose: These metrics provide insights into the volatility and risk associated with various investment strategies and portfolio compositions.

    • Usage: Investors can use these metrics to assess the risk profile of different funds and compare the stability of their investment strategies.

  2. Growth Metrics (Columns 75-79)

    • Purpose: These metrics track the growth or decline in the value of investments, the number of shareholders, and their share value over time.

    • Usage: Useful for identifying trends in investment preferences and shareholder behaviors.

  3. Diversification Score (Column 80)

    • Purpose: Indicates the level of diversification in a portfolio based on different types of investments.

    • Usage: Investors can evaluate the risk mitigation strategies of different funds based on their diversification scores.

  4. Derivative and Put-Call Metrics (Columns 81-88)

    • Purpose: Provide insights into the use of derivatives and options in investment strategies.

    • Usage: These metrics help in understanding the risk appetite and hedging strategies of investors.

  5. Historical Highs and Debt-Equity Ratio (Columns 90-94)

    • Purpose: Offers a historical perspective on share values and assesses the leverage used by funds.

    • Usage: Useful for long-term investment analysis and understanding the use of debt in investment strategies.

  6. Allocation Pressure and Flow Metrics (Columns 96-107)

    • Purpose: These metrics assess the inflows and outflows from funds, alongside the allocation pressure on investments.

    • Usage: Essential for understanding market liquidity, investor sentiment, and pressure on asset allocation.

  7. Overloaded Indicators (Columns 108-109)

    • Purpose: Indicate high concentrations in derivatives and puts.

    • Usage: Investors can gauge the level of speculation and potential overexposure to certain investment instruments.

Use Cases

This dataset provides a comprehensive analysis of institutional investment behaviors, strategies, and portfolio dynamics. It covers various aspects like fund ratios, growth metrics, derivative concentrations, shareholder dynamics, and more. The data is designed to assist professional investors in understanding market trends, evaluating investment strategies, and making informed decisions.

  • Market Trend Analysis: Understand broad market trends by analyzing growth metrics and standard deviations.

  • Risk Assessment: Evaluate the risk profiles of different funds and strategies using volatility and diversification metrics.

  • Strategy Evaluation: Assess and compare the effectiveness of different investment strategies.

  • Investment Decision Making: Utilize historical data and flow metrics to make informed investment decisions.


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