> ## Documentation Index > Fetch the complete documentation index at: https://docs.prismapi.io/llms.txt > Use this file to discover all available pages before exploring further. # Profile > Comprehensive aggregated views of trading behavior for wallets, tokens, and positions. ## Wallet Profile Aggregated trading profile for a wallet, capturing outcomes of trading activity with financial-grade precision across configurable time windows. | Field | Type | Description | | ---------------- | ----------------------------------- | ------------------------------------------------------------------------------------------------------------ | | `updated_at` | *String \[date-time]* | Timestamp of when the profile's underlying data was last updated. | | `synced_at` | *String \[date-time]* | Timestamp of when the updated profile was last persisted to the database and made available through the API. | | `wallet_address` | *String \[address]* | The Solana wallet address | | `labels` | *[Label](#label)* | Labels assigned to the wallet | | `matched_labels` | *[Matched Labels](#matched-labels)* | Labels assigned to the wallet, with the rules that matched them | | `dynamic_labels` | *Array(String)* | Dynamic, user-defined labels assigned to the wallet | | `metadata` | *[Metadata](#metadata)* | Wallet metadata | | `metrics` | *[Metrics](#metrics)* | Wallet metrics | ### Label Categorical tags assigned to a wallet based on its trading behavior, capital, and on-chain activity patterns. *Enum(String)* | Value | Description | | ------------ | ------------------------------------------------------------ | | `kol` | Wallet owned by a key opinion leader | | `trencher` | Active trader frequently rotating through new tokens | | `conviction` | Trader who holds concentrated positions with high confidence | | `smart` | Wallet with consistently profitable and strategic trading | | `whale` | High-volume trader with significant capital | | `degen` | Aggressive trader taking high-risk, high-reward bets | | `sniper` | Trader who enters positions very early after token launch | | `swing` | Trader who holds positions over medium-term time frames | | `holder` | Long-term holder who rarely sells | ### Matched Labels A breakdown of each label assigned to the wallet alongside the specific rules that triggered it, providing transparency into why a given label was applied. *Map([Label](#label), Array(String))* | Key | Value | Description | | ------------ | --------------- | ----------------------------------------- | | `trencher` | *Array(String)* | Rules that matched the `trencher` label | | `conviction` | *Array(String)* | Rules that matched the `conviction` label | | `smart` | *Array(String)* | Rules that matched the `smart` label | | `whale` | *Array(String)* | Rules that matched the `whale` label | | `degen` | *Array(String)* | Rules that matched the `degen` label | | `sniper` | *Array(String)* | Rules that matched the `sniper` label | | `swing` | *Array(String)* | Rules that matched the `swing` label | | `holder` | *Array(String)* | Rules that matched the `holder` label | ### Metadata Identifying information about the wallet and its owner. *Object* | Field | Type | Description | | ------------------- | --------------------- | ------------------------------------- | | `last_trade_at` | *String \[date-time]* | Timestamp of the wallet's last trade | | `name` | *String* | Name of the wallet owner | | `twitter_username` | *String* | Twitter username of the wallet owner | | `telegram_username` | *String* | Telegram username of the wallet owner | ### Metrics Wallet trading metrics computed across multiple rolling time windows, allowing comparison of recent versus longer-term performance. *Map([Time Window](#time-window), [Metrics](#performance-metrics))* | Key | Value | Description | | ----- | --------------------------------- | ---------------------------- | | `1d` | *[Metrics](#performance-metrics)* | Metrics for the last 1 day | | `3d` | *[Metrics](#performance-metrics)* | Metrics for the last 3 days | | `7d` | *[Metrics](#performance-metrics)* | Metrics for the last 7 days | | `14d` | *[Metrics](#performance-metrics)* | Metrics for the last 14 days | | `30d` | *[Metrics](#performance-metrics)* | Metrics for the last 30 days | #### Performance Metrics Outcome-oriented metrics summarizing the profitability of the wallet's trading. *Object* | Field | Type | Description | | ------------------------- | --------------------------------------- | -------------------------------- | | `pnl` | *Number \[USD]* | Total profit and loss | | `win_pnl` | *Number \[USD]* | Total profit from winning trades | | `loss_pnl` | *Number \[USD]* | Total loss from losing trades | | `roi` | *Number \[%]* | Return on investment | | `volume_weighted_roi` | *Number \[%]* | ROI weighted by trade volume | | `time_weighted_roi` | *Number \[%]* | ROI weighted by holding duration | | `winrate` | *Number \[%]* | Ratio of winning trades | | `volume_weighted_winrate` | *Number \[%]* | Winrate weighted by trade volume | | `token_roi_distribution` | *[ROI Distribution](#roi-distribution)* | ROI distribution | | `largest_win` | *Number \[USD]* | Largest single winning trade | | `largest_loss` | *Number \[USD]* | Largest single losing trade | #### Volume Metrics Metrics describing the size and flow of capital the wallet has traded. *Object* | Field | Type | Description | | --------------- | ----------------- | ------------------------------------- | | `volume` | *Number \[USD]* | Total trading volume | | `buy_volume` | *Number \[USD]* | Total buy volume | | `sell_volume` | *Number \[USD]* | Total sell volume | | `avg_buy_size` | *Number \[USD]* | Average buy trade size | | `avg_sell_size` | *Number \[USD]* | Average sell trade size | | `avg_buy_mcap` | *Number \[USD]* | Average token market cap at buy time | | `avg_sell_mcap` | *Number \[USD]* | Average token market cap at sell time | | `turnover` | *Number \[ratio]* | Portfolio turnover ratio | #### Trade Count Metrics Counts that quantify how often and how actively the wallet trades. *Object* | Field | Type | Description | | ------------------------ | --------- | -------------------------------------------- | | `trade_count` | *Integer* | Total number of trades | | `buy_count` | *Integer* | Total number of buy trades | | `sell_count` | *Integer* | Total number of sell trades | | `position_count` | *Integer* | Total number of positions opened | | `win_count` | *Integer* | Number of winning trades | | `loss_count` | *Integer* | Number of losing trades | | `max_consecutive_wins` | *Integer* | Longest streak of consecutive winning trades | | `max_consecutive_losses` | *Integer* | Longest streak of consecutive losing trades | #### Daily Averages Metrics normalized to a daily basis, summarizing the wallet's typical day of trading. *Object* | Field | Type | Description | | ------------------------- | --------------- | ---------------------------------------------- | | `avg_daily_pnl` | *Number \[USD]* | Average daily PnL | | `avg_daily_roi` | *Number \[%]* | Average daily ROI | | `avg_daily_trade_count` | *Integer* | Average number of trades per day | | `avg_daily_traded_tokens` | *Integer* | Average number of unique tokens traded per day | | `avg_daily_volume` | *Number \[USD]* | Average daily trading volume | #### Per-Trade Averages Averages that describe the wallet's typical single-trade behavior and outcomes. *Object* | Field | Type | Description | | ---------------------- | -------------------- | --------------------------------------- | | `avg_pnl` | *Number \[USD]* | Average PnL per trade | | `avg_roi` | *Number \[%]* | Average ROI per trade | | `avg_token_pnl` | *Number \[USD]* | Average PnL per token traded | | `avg_token_roi` | *Number \[%]* | Average ROI per token traded | | `avg_holding_duration` | *Integer \[seconds]* | Average position holding time | | `avg_trade_delta` | *Integer \[seconds]* | Average time between consecutive trades | #### Risk Metrics Metrics that quantify the wallet's risk profile and contextualize its returns relative to the risk taken. *Object* | Field | Type | Description | | ------------------- | ----------------- | ---------------------------------------------- | | `risk_score` | *Number \[0-100]* | Composite risk score | | `consistency_score` | *Number \[0-100]* | Trading consistency score | | `sharpe_ratio` | *Number \[ratio]* | Risk-adjusted return | | `sortino_ratio` | *Number \[ratio]* | Downside risk-adjusted return | | `max_drawdown` | *Number \[%]* | Maximum portfolio drawdown | | `risk_of_ruin` | *Number \[%]* | Estimated probability of complete capital loss | | `profit_factor` | *Number \[ratio]* | Ratio of gross profit to gross loss | | `profit_expectancy` | *Number \[USD]* | Expected profit per trade | | `recovery_factor` | *Number \[ratio]* | Net profit divided by maximum drawdown | #### Stability Metrics Metrics that quantify how consistent the wallet's performance is over time. *Object* | Field | Type | Description | | -------------------- | ------------- | -------------------------------- | | `winrate_stability` | *Number \[%]* | Consistency of winrate over time | | `winrate_volatility` | *Number \[%]* | Variance of winrate over time | | `pnl_stability` | *Number \[%]* | Consistency of PnL over time | | `pnl_volatility` | *Number \[%]* | Variance of PnL over time | | `roi_stability` | *Number \[%]* | Consistency of ROI over time | | `roi_volatility` | *Number \[%]* | Variance of ROI over time | #### Ratio Metrics Comparative ratios that contextualize the quality and balance of the wallet's trading outcomes. *Object* | Field | Type | Description | | --------------------- | ----------------- | --------------------------------------------------------------- | | `pnl_volume_ratio` | *Number \[ratio]* | PnL relative to total volume traded | | `token_hit_ratio` | *Number \[%]* | Ratio of profitable tokens to total tokens traded | | `win_loss_size_ratio` | *Number \[ratio]* | Average winning trade size divided by average losing trade size | *** ## Token Profile Aggregated trading profile for a token, capturing how it is traded across the Solana ecosystem, by whom, how profitably, and with what consistency. | Field | Type | Description | | ---------------- | ----------------------------------- | ------------------------------------------------------------------------------------------------------------ | | `updated_at` | *String \[date-time]* | Timestamp of when the profile's underlying data was last updated. | | `synced_at` | *String \[date-time]* | Timestamp of when the updated profile was last persisted to the database and made available through the API. | | `token_address` | *String \[address]* | The Solana token mint address | | `labels` | *[Label](#label)* | Labels assigned to the token | | `matched_labels` | *[Matched Labels](#matched-labels)* | Labels assigned to the token, with the rules that matched them | | `dynamic_labels` | *Array(String)* | Dynamic, user-defined labels assigned to the token | | `metadata` | *[Metadata](#metadata)* | Token metadata | | `market` | *[Market](#market)* | Token market data | | `metrics` | *[Metrics](#metrics)* | Token metrics | ### Label Categorical tags assigned to a token based on its trading activity and market conditions. *Enum(String)* | Value | Description | | ---------- | --------------------------------------------------- | | `trending` | Token with rapidly rising trading activity | | `hot` | Token with sustained high volume and engagement | | `new` | Recently created token | | `popular` | Widely traded token with broad wallet participation | ### Matched Labels A breakdown of each label assigned to the token alongside the specific rules that triggered it, providing transparency into why a given label was applied. *Map([Label](#label), Array(String))* | Key | Value | Description | | ---------- | --------------- | --------------------------------------- | | `trending` | *Array(String)* | Rules that matched the `trending` label | | `hot` | *Array(String)* | Rules that matched the `hot` label | | `new` | *Array(String)* | Rules that matched the `new` label | | `popular` | *Array(String)* | Rules that matched the `popular` label | ### Metadata Descriptive information identifying the token and linking to its public channels. *Object* | Field | Type | Description | | ----------------- | --------------------- | ----------------------------------- | | `symbol` | *String* | Token ticker symbol | | `name` | *String* | Token display name | | `image` | *String* | URL to token logo image | | `verified` | *boolean* | Whether the token is verified | | `creator_address` | *String* | Wallet address of the token creator | | `created_at` | *String \[date-time]* | Timestamp of token creation | | `last_trade_at` | *String \[date-time]* | Timestamp of the last trade | | `twitter` | *String* | Twitter/X handle or URL | | `discord` | *String* | Discord invite URL | | `website` | *String* | Official website URL | | `telegram` | *String* | Telegram group URL | ### Market Current market state of the token, including price, supply, and liquidity-related figures. *Object* | Field | Type | Description | | -------------------- | --------------- | ---------------------------------------- | | `fdv` | *Number \[USD]* | Fully diluted valuation | | `market_cap` | *Number \[USD]* | Current market capitalization | | `price` | *Number \[USD]* | Current token price | | `liquidity` | *Number \[USD]* | Available liquidity | | `holders` | *Integer* | Number of unique token holders | | `total_supply` | *Number* | Total token supply | | `circulating_supply` | *Number* | Circulating token supply | | `top_holdings` | *Number \[%]* | Percentage of supply held by top holders | | `dev_holdings` | *Number \[%]* | Percentage of supply held by developers | ### Metrics Token-level trading metrics computed across multiple rolling time windows. *Map(String, Object)* | Key | Value | Description | | ---- | --------------------------------------------------------- | ------------------------------ | | `1m` | *Object([Volume & Trade Metrics](#volume-trade-metrics))* | Metrics for the last 1 minute | | `5m` | *Object([Volume & Trade Metrics](#volume-trade-metrics))* | Metrics for the last 5 minutes | | `1h` | *Object([Volume & Trade Metrics](#volume-trade-metrics))* | Metrics for the last 1 hour | | `6h` | *Object([Volume & Trade Metrics](#volume-trade-metrics))* | Metrics for the last 6 hours | | `1d` | *Object([Volume & Trade Metrics](#volume-trade-metrics))* | Metrics for the last 1 day | | `7d` | *Object([Volume & Trade Metrics](#volume-trade-metrics))* | Metrics for the last 7 days | #### Volume & Trade Metrics Aggregate measures of how much and how often the token has been traded. *Object* | Field | Type | Description | | ---------------- | --------------- | -------------------------------- | | `volume` | *Number \[USD]* | Total trading volume | | `buy_volume` | *Number \[USD]* | Total buy volume | | `sell_volume` | *Number \[USD]* | Total sell volume | | `trade_count` | *Integer* | Total number of trades | | `buy_count` | *Integer* | Total number of buy trades | | `sell_count` | *Integer* | Total number of sell trades | | `position_count` | *Integer* | Total number of positions opened | #### Participant Metrics Counts describing how many unique wallets have interacted with the token. *Object* | Field | Type | Description | | --------------- | --------- | ----------------------------------------------- | | `makers_count` | *Integer* | Number of unique wallets that traded this token | | `buyers_count` | *Integer* | Number of unique wallets that bought this token | | `sellers_count` | *Integer* | Number of unique wallets that sold this token | #### PnL Metrics Aggregate profit and loss outcomes generated across all wallets trading the token. *Object* | Field | Type | Description | | --------------------- | --------------- | ----------------------------------- | | `pnl` | *Number \[USD]* | Net PnL across all traders | | `win_pnl` | *Number \[USD]* | Total profit from winning positions | | `loss_pnl` | *Number \[USD]* | Total loss from losing positions | | `win_position_count` | *Integer* | Number of profitable positions | | `loss_position_count` | *Integer* | Number of losing positions | | `largest_trade_win` | *Number \[USD]* | Largest single winning trade | | `largest_trade_loss` | *Number \[USD]* | Largest single losing trade | #### Price Metrics Average price and market-cap levels observed across the token's trading activity. *Object* | Field | Type | Description | | ---------------- | --------------- | ------------------------------------- | | `avg_price` | *Number \[USD]* | Average trade price | | `avg_buy_price` | *Number \[USD]* | Average buy price | | `avg_sell_price` | *Number \[USD]* | Average sell price | | `avg_buy_mcap` | *Number \[USD]* | Average token market cap at buy time | | `avg_sell_mcap` | *Number \[USD]* | Average token market cap at sell time | #### Size Metrics Typical trade and position sizing observed for the token. *Object* | Field | Type | Description | | ---------------------- | -------------------- | --------------------------------- | | `avg_buy_size` | *Number \[USD]* | Average buy trade size | | `avg_sell_size` | *Number \[USD]* | Average sell trade size | | `avg_holding_duration` | *Integer \[seconds]* | Average position holding duration | #### Per-Trade Averages Averages that describe the typical outcomes of a single trade of the token. *Object* | Field | Type | Description | | --------------- | --------------- | --------------------- | | `avg_trade_pnl` | *Number \[USD]* | Average PnL per trade | | `avg_trade_roi` | *Number \[%]* | Average ROI per trade | #### Wallet Performance Metrics Average performance achieved by the wallets that traded the token. *Object* | Field | Type | Description | | -------------------- | --------------- | ------------------------------------------------- | | `avg_wallet_winrate` | *Number \[%]* | Average winrate across wallets trading this token | | `avg_wallet_pnl` | *Number \[USD]* | Average PnL per wallet | | `avg_wallet_roi` | *Number \[%]* | Average ROI per wallet | #### Ratio Metrics Comparative ratios that contextualize the quality and balance of trading outcomes around the token. *Object* | Field | Type | Description | | ------------------------- | ----------------- | --------------------------------------------------------------- | | `volume_weighted_winrate` | *Number \[%]* | Winrate weighted by trade volume | | `volume_weighted_roi` | *Number \[%]* | ROI weighted by trade volume | | `wallet_hit_ratio` | *Number \[%]* | Ratio of profitable wallets to total wallets | | `profit_factor` | *Number \[ratio]* | Ratio of gross profit to gross loss | | `win_loss_size_ratio` | *Number \[ratio]* | Average winning trade size divided by average losing trade size | | `pnl_volume_ratio` | *Number \[ratio]* | PnL relative to total volume traded | #### Stability Metrics Metrics that quantify how consistent the token's price and trading outcomes are over time. *Object* | Field | Type | Description | | ------------------ | ------------- | ------------------------------ | | `price_stability` | *Number \[%]* | Consistency of price over time | | `price_volatility` | *Number \[%]* | Variance of price over time | | `roi_stability` | *Number \[%]* | Consistency of ROI over time | | `roi_volatility` | *Number \[%]* | Variance of ROI over time | | `pnl_stability` | *Number \[%]* | Consistency of PnL over time | | `pnl_volatility` | *Number \[%]* | Variance of PnL over time | #### Risk Metrics Metrics that quantify the token's risk profile and contextualize its returns relative to that risk. *Object* | Field | Type | Description | | --------------- | ----------------- | ----------------------------- | | `sharpe_ratio` | *Number \[ratio]* | Risk-adjusted return | | `sortino_ratio` | *Number \[ratio]* | Downside risk-adjusted return | | `max_drawdown` | *Number \[%]* | Maximum price drawdown | *** ## Position Profile Aggregated trading profile for a wallet-token position, capturing the outcomes of that position's trading activity across configurable time windows. | Field | Type | Description | | ------------------ | ----------------------- | ------------------------------------------------------------------------------------------------------------ | | `updated_at` | *String \[date-time]* | Timestamp of when the profile's underlying data was last updated. | | `synced_at` | *String \[date-time]* | Timestamp of when the updated profile was last persisted to the database and made available through the API. | | `position_address` | *String \[address]* | Unique identifier for the position | | `wallet_address` | *String \[address]* | Wallet address holding the position | | `token_address` | *String \[address]* | Token mint address of the position | | `labels` | *Array(String)* | Labels assigned to the position | | `dynamic_labels` | *Array(String)* | Dynamic, user-defined labels assigned to the position | | `metadata` | *[Metadata](#metadata)* | Position metadata | | `metrics` | *[Metrics](#metrics)* | Position metrics | ### Metadata Identifying information about the position's recent activity. *Object* | Field | Type | Description | | --------------- | --------------------- | -------------------------------------- | | `last_trade_at` | *String \[date-time]* | Timestamp of the position's last trade | ### Metrics Position trading metrics computed across multiple rolling time windows, allowing comparison of recent versus longer-term performance. *Map([Time Window](#time-window), Object)* | Key | Value | Description | | ---- | -------- | --------------------------- | | `1d` | *Object* | Metrics for the last 1 day | | `3d` | *Object* | Metrics for the last 3 days | | `7d` | *Object* | Metrics for the last 7 days | #### Performance Metrics Outcome-oriented metrics summarizing the profitability of the position's trading. *Object* | Field | Type | Description | | ------------------------- | --------------- | -------------------------------- | | `pnl` | *Number \[USD]* | Total profit and loss | | `win_pnl` | *Number \[USD]* | Total profit from winning trades | | `loss_pnl` | *Number \[USD]* | Total loss from losing trades | | `roi` | *Number \[%]* | Return on investment | | `volume_weighted_roi` | *Number \[%]* | ROI weighted by trade volume | | `winrate` | *Number \[%]* | Ratio of winning trades | | `volume_weighted_winrate` | *Number \[%]* | Winrate weighted by trade volume | | `largest_win` | *Number \[USD]* | Largest single winning trade | | `largest_loss` | *Number \[USD]* | Largest single losing trade | #### Volume Metrics Metrics describing the size and flow of capital traded in the position. *Object* | Field | Type | Description | | --------------- | ----------------- | ------------------------------------- | | `volume` | *Number \[USD]* | Total trading volume | | `buy_volume` | *Number \[USD]* | Total buy volume | | `sell_volume` | *Number \[USD]* | Total sell volume | | `avg_buy_size` | *Number \[USD]* | Average buy trade size | | `avg_sell_size` | *Number \[USD]* | Average sell trade size | | `avg_buy_mcap` | *Number \[USD]* | Average token market cap at buy time | | `avg_sell_mcap` | *Number \[USD]* | Average token market cap at sell time | | `turnover` | *Number \[ratio]* | Portfolio turnover ratio | #### Trade Count Metrics Counts that quantify how often and how actively the position has been traded. *Object* | Field | Type | Description | | ------------------------ | --------- | -------------------------------------------- | | `trade_count` | *Integer* | Total number of trades | | `buy_count` | *Integer* | Total number of buy trades | | `sell_count` | *Integer* | Total number of sell trades | | `win_count` | *Integer* | Number of winning trades | | `loss_count` | *Integer* | Number of losing trades | | `max_consecutive_wins` | *Integer* | Longest streak of consecutive winning trades | | `max_consecutive_losses` | *Integer* | Longest streak of consecutive losing trades | #### Daily Averages Metrics normalized to a daily basis, summarizing the position's typical day of trading. *Object* | Field | Type | Description | | ----------------------- | --------------- | -------------------------------- | | `avg_daily_pnl` | *Number \[USD]* | Average daily PnL | | `avg_daily_roi` | *Number \[%]* | Average daily ROI | | `avg_daily_trade_count` | *Integer* | Average number of trades per day | | `avg_daily_volume` | *Number \[USD]* | Average daily trading volume | #### Per-Trade Averages Averages that describe the position's typical single-trade behavior and outcomes. *Object* | Field | Type | Description | | ---------------------- | -------------------- | --------------------------------------- | | `avg_pnl` | *Number \[USD]* | Average PnL per trade | | `avg_roi` | *Number \[%]* | Average ROI per trade | | `avg_holding_duration` | *Integer \[seconds]* | Average position holding time | | `avg_trade_delta` | *Integer \[seconds]* | Average time between consecutive trades | #### Risk Metrics Metrics that quantify the position's risk profile and contextualize its returns relative to the risk taken. *Object* | Field | Type | Description | | ------------------- | ----------------- | ---------------------------------------------- | | `risk_score` | *Number \[0-100]* | Composite risk score | | `consistency_score` | *Number \[0-100]* | Trading consistency score | | `sharpe_ratio` | *Number \[ratio]* | Risk-adjusted return | | `sortino_ratio` | *Number \[ratio]* | Downside risk-adjusted return | | `max_drawdown` | *Number \[%]* | Maximum portfolio drawdown | | `risk_of_ruin` | *Number \[%]* | Estimated probability of complete capital loss | | `profit_factor` | *Number \[ratio]* | Ratio of gross profit to gross loss | | `profit_expectancy` | *Number \[USD]* | Expected profit per trade | | `recovery_factor` | *Number \[ratio]* | Net profit divided by maximum drawdown | #### Stability Metrics Metrics that quantify how consistent the position's performance is over time. *Object* | Field | Type | Description | | -------------------- | ------------- | -------------------------------- | | `winrate_stability` | *Number \[%]* | Consistency of winrate over time | | `winrate_volatility` | *Number \[%]* | Variance of winrate over time | | `pnl_stability` | *Number \[%]* | Consistency of PnL over time | | `pnl_volatility` | *Number \[%]* | Variance of PnL over time | | `roi_stability` | *Number \[%]* | Consistency of ROI over time | | `roi_volatility` | *Number \[%]* | Variance of ROI over time | #### Ratio Metrics Comparative ratios that contextualize the quality and balance of the position's trading outcomes. *Object* | Field | Type | Description | | --------------------- | ----------------- | --------------------------------------------------------------- | | `pnl_volume_ratio` | *Number \[ratio]* | PnL relative to total volume traded | | `win_loss_size_ratio` | *Number \[ratio]* | Average winning trade size divided by average losing trade size | ## ROI Distribution A histogram of outcomes grouped into ROI buckets, showing how returns are distributed. *Map([ROI Bucket](#roi-bucket), Integer)* | Key | Value | Description | | ------------ | --------- | ----------------------------------------------------- | | `gt_500` | *Integer* | Bucket containing values of ROI greater than 500% | | `200_500` | *Integer* | Bucket containing values of ROI between 200% and 500% | | `0_200` | *Integer* | Bucket containing values of ROI between 0% and 200% | | `neg50_0` | *Integer* | Bucket containing values of ROI between -50% and 0% | | `lt_neg50_0` | *Integer* | Bucket containing values of ROI less than -50% | ## ROI Bucket Discrete return-on-investment ranges used as the keys of an [ROI Distribution](#roi-distribution). *Enum(String)* | Value | Description | | ------------ | ------------------------- | | `gt_500` | ROI greater than 500% | | `200_500` | ROI between 200% and 500% | | `0_200` | ROI between 0% and 200% | | `neg50_0` | ROI between -50% and 0% | | `lt_neg50_0` | ROI less than -50% | ## Time Window Rolling lookback period used to scope metrics. *Enum(String)* | Value | Description | | ----- | --------------- | | `30d` | Last 30 days | | `14d` | Last 14 days | | `7d` | Last 7 days | | `3d` | Last 3 days | | `1d` | Last 1 day | | `12h` | Last 12 hours | | `6h` | Last 6 hours | | `3h` | Last 3 hours | | `1h` | Last 1 hour | | `30m` | Last 30 minutes | | `15m` | Last 15 minutes | | `5m` | Last 5 minutes | | `1m` | Last 1 minute |