Node Reference

Triggers flow at specified time intervals

Starts your flow automatically at regular intervals. Use this to run strategies that check market conditions every minute, hour, or day.

Triggers when a candle closes

Fires once each time a candlestick completes. Use this instead of Time Trigger when your strategy should react to confirmed candle data rather than arbitrary intervals.

Triggered manually by user

Lets you run a flow on demand with a button click. Useful for testing your strategy or executing one-off trades without waiting for a scheduled trigger.

Triggers from external webhook call

Starts your flow when an external service sends an HTTP request to your webhook URL. Use this to connect TradingView alerts, bots, or custom scripts to your flows.

Connect to cryptocurrency exchange

Establishes a connection to your exchange account. This is the starting point for any flow that needs market data or trade execution. Choose paper mode to practice without risking real funds.

Get account balance and positions

Fetches your current account balance and open positions from the exchange. Connect this to Position Size or Balance Check nodes to make sizing decisions based on your available funds.

Check if sufficient balance for trade

Verifies you have enough funds before placing an order. Use this as a safety check — connect it to an AND Gate before your Place Order node to prevent failed trades.

Real-time price feed

Streams live price data (open, high, low, close, volume) for a trading pair. This is the main data source for most strategies — connect it to indicators, comparators, or order nodes.

Order book depth data

Shows the current buy and sell orders waiting on the exchange. Use bid/ask spread and order imbalance to gauge short-term supply/demand and improve your entry timing.

Recent trades stream

Tracks buy/sell volume from recent trades and identifies large trades. Use the large_trade_ratio to detect whale activity and the buy/sell split to gauge market pressure.

Perpetual futures funding rate

Fetches the current funding rate for perpetual futures. Positive funding means longs pay shorts; negative means shorts pay longs. Use this for carry trades or to detect crowded positioning. The is_extreme output flags when the absolute rate exceeds the threshold — a contrarian signal.

Futures open interest data

Tracks total open positions in futures markets. Rising OI with price = trend confirmation. Falling OI with price = unwinding. Sudden drops often signal liquidation events.

Run an indicator on a different timeframe

Fetches candles at a different timeframe than your main flow and runs an indicator on them. For example, use this to check the 4h RSI while your flow runs on 1m candles. The indicator value updates only when a new candle on the target timeframe closes.

Simple Moving Average

Smooths out price data by averaging the last N candles. Use it to identify the overall trend direction — price above SMA suggests an uptrend, below suggests a downtrend.

Exponential Moving Average with slope

Like SMA but reacts faster to recent price changes. Also outputs slope direction so you can detect when a trend is strengthening or weakening. Great for trend-following strategies.

Relative Strength Index

Measures if a coin is overbought (above 70) or oversold (below 30) on a 0-100 scale. Use it to find potential reversal points — buy when oversold, sell when overbought.

Moving Average Convergence Divergence

Tracks momentum by comparing fast and slow moving averages. When MACD crosses above the signal line it's a bullish signal; crossing below is bearish. The histogram shows momentum strength.

Volatility bands around moving average

Creates upper and lower bands based on price volatility. Price touching the upper band suggests overbought; lower band suggests oversold. A squeeze (narrow bands) often precedes a big move.

Average True Range

Measures how much a price typically moves per candle. Use ATR to set dynamic stop losses that adapt to current volatility — wider stops in volatile markets, tighter in calm ones.

Weighted Moving Average

Gives more weight to recent prices than SMA. The most recent candle has the highest weight. Use it when you want a moving average that's more responsive to recent price action.

Rate of Change (Momentum)

Measures price change speed as a percentage over N periods. Positive = upward momentum, negative = downward. Trend exhaustion is detected when momentum decelerates against the price direction.

Trend continuation detection via autocorrelation

Measures whether returns are correlated with their past values. Positive autocorrelation = trend likely to continue. Negative = mean-reverting. Useful for choosing between trend-following and mean-reversion strategies.

Volatility from log returns with z-score

Calculates actual market volatility from price changes. The z-score shows if current volatility is abnormally high or low vs history. Use it to adjust position sizes and identify volatility regime changes.

Volume Weighted Average Price

The average price weighted by volume — the 'fair price' for the day. Institutional traders use VWAP as a benchmark. Price above VWAP = bullish bias, below = bearish. Resets daily by default.

On-Balance Volume

Cumulative volume that adds on up-candles and subtracts on down-candles. Rising OBV confirms an uptrend; falling OBV confirms a downtrend. Divergence between OBV and price warns of potential reversal.

Stochastic Oscillator (%K, %D)

Shows where price closed relative to its high-low range over N periods (0-100). Above 80 = overbought, below 20 = oversold. %K crossing %D gives entry signals similar to MACD crossovers.

Average Directional Index

Measures trend strength on a 0-100 scale (not direction). Above 25 = trending, below 20 = ranging. Use it to decide whether to use trend-following or mean-reversion strategies.

Moving Average Slope calculator

Measures the slope (rate of change) of any value over N periods. Connect it to a moving average output to determine if the trend is accelerating, decelerating, or flat.

Stores N prices, outputs delta/log_return

Stores the last N price values and computes the total delta and log return over that window. Useful as a building block for custom indicators and regime detection inputs.

Raw momentum (price - price_N_ago)

Simply subtracts the price N periods ago from the current price. Positive = price is higher, negative = lower. The simplest momentum indicator — useful for quick directional checks.

Ichimoku Kinko Hyo with all five lines

Computes the five Ichimoku lines: Tenkan-sen (conversion), Kijun-sen (base), Senkou Span A & B (cloud), and Chikou Span (lagging). The cloud area between Span A and B defines support/resistance zones. Price above the cloud is bullish, below is bearish.

Unified regime detection orchestrator

The main regime detection node that identifies which of 55 market regimes are active. Outputs probability distribution across all regimes, the dominant regime, and whether any critical regimes are detected.

Triggers when critical market regime detected

Monitors 11 critical regimes (flash crash, liquidation cascade, black swan, etc.) and fires when any exceeds its threshold. Connect to Kill Switch for automatic protection.

Resolves engine parameters based on active regimes

Blends trading parameters (position size, SL/TP multipliers, leverage) from all active regimes using probability-weighted averaging. Critical regimes override blending entirely.

EMA smoothing with oscillation detection

Smooths regime probabilities to prevent rapid flipping between regimes. Detects oscillation patterns and enforces a 'sticky period' before confirming a regime change.

Detects price/trend market regimes (IDs 1-10)

Scores 10 price/trend regimes: trend expansion, initiation, continuation, exhaustion, mean reversion, range compression, stable market making, toxic flow, vol expansion, and vol shock.

Detects derivatives-related conditions (9 regimes)

Scores 9 derivatives regimes including funding neutral/imbalance, liquidation cascade, short/long squeeze, basis blowout, and funding harvest. Key input: funding rate and open interest.

Detects market participant behavior (8 regimes)

Scores 8 participation regimes: whale accumulation/distribution, order flow imbalance, retail/institutional dominance, inventory rebalancing, adverse selection, and index rebalance.

Detects market liquidity conditions (5 regimes)

Scores 5 liquidity regimes: cross-exchange arbitrage, liquidity drought, liquidity migration, liquidity vacuum (critical), and venue fragmentation. Monitors order book depth and spread.

Detects volatility and options conditions (3 regimes)

Scores 3 volatility regimes: dealer gamma positioning, volatility suppression, and gamma flip. Useful for understanding whether options market dynamics are suppressing or amplifying price moves.

Detects cross-asset correlation conditions (6 regimes)

Scores 6 correlation/meta regimes: correlation shift, dominance rotation, narrative regime, macro override, reflexive feedback, and forced de-risking (critical). Monitors cross-asset dynamics.

Detects time-based market behavior (3 regimes)

Scores 3 temporal regimes: session regime (volume vs session average), weekend regime (binary), and holiday regime (binary). Weekend and holiday use clip normalization instead of softmax.

Detects infrastructure/market failure (11 regimes)

Mandatory safety node that monitors 11 failure regimes: exchange stress, flash crash, oracle failure, regulatory shock, black swan, cross-margin contagion, stablecoin stress, chain congestion, settlement risk, capital control, and market halt.

Compare two values

Compares two numbers using an operator (>, <, ==, etc.) and outputs true or false. Use this to create conditions like 'price > SMA' or 'RSI < 30'.

Check if value crosses threshold

Detects when a value crosses above or below a set level. Unlike Comparator, this tracks crossing events — useful for triggering trades only at the moment RSI crosses 30 or price crosses a support level.

All inputs must be true

Combines multiple conditions — all must be true for the output to be true. Use it to require multiple confirmations before entering a trade, like 'RSI oversold AND price above SMA AND volume rising'.

Any input must be true

Outputs true if any connected condition is true. Use it when you want to trigger on multiple possible signals — like 'RSI oversold OR MACD bullish crossover'.

Invert boolean

Flips true to false and false to true. Use it to negate a condition — for example, invert a Kill Switch signal to create an 'all clear' output for normal trading.

Pass signal only if conditions met

Acts like a valve — passes the signal through only when the condition is true, otherwise blocks it. Use it to gate trade signals through regime or risk checks.

Normalize scores to probabilities

Converts a set of raw scores into probabilities that sum to 1. Higher temperature = more uniform distribution; lower temperature = winner-take-all. Used internally by regime detection.

Basic math operation

Performs a math operation on two numbers (+, -, *, /, %, ^, min, max). Use it for custom calculations like computing spreads, ratios, or combining indicator values.

User-defined math expression

Enter a math formula using variables a, b, c, d which map to the 4 inputs. Supports: +, -, *, /, %, ^, abs(), min(), max(), sqrt(), log(), round(). Example: (a - b) / c creates a z-score from three inputs.

Multi-way branching based on a numeric value

Routes execution based on a numeric input value. Define up to 4 threshold ranges — the input is compared against each threshold and the matching branch output becomes true. Similar to a switch/case statement. Use for routing to different strategies based on regime, volatility level, or any numeric classifier.

Fixed percentage stop loss

Sets a stop loss at a fixed percentage below (for longs) or above (for shorts) your entry price. Simple and predictable — good for beginners or when you want consistent risk per trade.

ATR-based stop loss

Sets a stop loss based on current market volatility using ATR. The stop widens in volatile markets and tightens in calm ones, reducing the chance of getting stopped out by normal price noise.

Take profit based on risk:reward ratio

Calculates your take-profit price based on your stop loss distance. A 2:1 ratio means your target profit is twice your risk. Connect it to a Stop Loss node to automatically compute the TP level.

Emergency stop trading trigger

Emergency safety net that stops all trading when losses exceed your limits. Set max loss amount, percentage, or consecutive loss count to automatically shut down the strategy and protect your account.

Trailing stop that follows price

A stop loss that moves with profitable price action. It activates after price moves a set % in your favor, then trails behind at a fixed distance. Locks in profits while letting winners run.

Calculate profit/loss for position

Computes your current unrealized PnL for an open position. Connect entry price, current price, size, and side to see your profit or loss in both absolute and percentage terms.

Track peak equity and drawdown

Tracks your highest equity point and measures the decline from it. Use max_drawdown_percent as a Kill Switch input to stop trading when losses from the peak exceed your tolerance.

Cap concurrent open positions

Limits the number of positions you can have open at once. Use this to prevent over-exposure — connect the 'allowed' output to a Signal Gate before your Place Order node.

Track daily PnL, reset by UTC hour

Tracks cumulative PnL for the day and blocks trading when the daily loss limit is hit. Resets at a configurable UTC hour. Essential for preventing tilt-driven losses.

Prevent correlated positions

Blocks new positions when correlation with existing positions exceeds a threshold. Prevents doubling up on correlated bets that would amplify losses during adverse moves.

Enhanced stop loss with 3 modes

A flexible stop loss supporting percentage, fixed distance, or ATR-based modes. Choose the mode that fits your strategy — percentage for simplicity, ATR for volatility-adaptive stops.

Enhanced take profit with partial support

Sets take-profit levels based on risk:reward ratio with optional partial exit. Take partial profits at a closer level and let the rest run for maximum gain.

Only allow signals during user-defined time windows

Filters signals based on time-of-day and day-of-week. Pass a signal through the input — it only passes through when the current time is within the allowed window. Use this to avoid low-liquidity hours or restrict to specific trading sessions.

Enforce a waiting period between trades

Blocks signals for a configurable duration after each trade. Connect the trade trigger to 'trigger_in' — it passes through only if enough time has elapsed since the last trigger. Resets the cooldown timer each time a signal passes.

Throttle exchange API calls to user-defined rate limits

Controls how many API calls your flow makes per second to an exchange. You set the maximum request rate and order rate to stay within your exchange's documented limits. Requests that exceed the limit are queued and delayed. This is your responsibility to configure — the platform does not enforce limits automatically.

Calculate position size: Risk$ / StopDist

Determines how much to buy or sell based on your account balance, risk percentage, and stop loss distance. Ensures you never risk more than your set percentage on any single trade.

Calculate risk amount: Risk$ = Balance x Risk%

Calculates the dollar amount you're willing to risk on a trade. Simply multiplies your balance by your risk percentage. Connect this to Position Size for complete sizing.

Calculate stop distance: |Entry - Stop|

Calculates the absolute and percentage distance between entry and stop prices. A building block for position sizing — feed this into Position Size to compute your trade size.

Round size DOWN to exchange step size

Rounds your position size down to the exchange's minimum step size. Without this, orders may be rejected for invalid quantity precision. Always place this before Place Order.

Round price to exchange tick size

Rounds your limit price to the exchange's tick size. Rounds in the 'safe' direction — stop losses round worse, take profits round better — to avoid premature triggers.

Calculate required margin for futures

Computes how much margin you need to open a futures position. Shows both initial margin (to open) and maintenance margin (to keep open). Helps prevent liquidation by ensuring adequate margin.

Blend position size based on regime probabilities

Adjusts your position size based on active market regimes. Reduces size in dangerous regimes (liquidation cascade, flash crash) and increases in favorable ones (trend expansion). Connect regime probabilities from Regime Detector.

Kelly criterion position sizing

Calculates the mathematically optimal bet size based on your win rate and average win/loss ratio. Half-Kelly (the recommended output) is commonly used to reduce variance while maintaining good growth.

Scale position size by current volatility (ATR)

Takes ATR and account balance as inputs, outputs a position size that keeps risk constant. When volatility is high, position size decreases. When volatility is low, position size increases. The target_risk_pct param controls how much of your balance to risk per trade.

Submit order to exchange

Sends a buy or sell order to the exchange. Choose market orders for immediate execution or limit orders to set your price. Connect size from Position Size and conditions from your logic nodes.

Close entire position

Closes your entire open position for a symbol at market price. Use this for exit signals, stop loss triggers, or as part of a Kill Switch to flatten all exposure immediately.

Cancel pending order

Cancels an open limit order by its order ID. Use this to cancel unfilled orders when market conditions change or when your strategy decides to exit a pending position.

Check order status

Checks the current status of a placed order — whether it's open, filled, partially filled, or cancelled. Use this to track order execution and trigger follow-up actions.

Split order into time-weighted chunks

Takes a total order size and splits it into equal slices executed at regular intervals over a time window. For example, buying 1 BTC over 10 minutes in 10 slices = 0.1 BTC every minute. Reduces market impact for larger orders.

Estimate fill price from order book depth

Simulates walking the order book for a given order size to estimate the actual fill price. Outputs expected slippage as both a dollar amount and a percentage. Use this to skip trades when slippage would be too high.

Route orders to exchange with best price

Fetches the current price from all connected exchanges and selects the one with the best price for your order side (lowest ask for buys, highest bid for sells). Only uses exchanges where the user has connected API keys.

Wait before continuing

Pauses the flow for a set duration before passing the signal along. Useful for rate-limiting API calls, waiting between order steps, or adding cooldown periods between trades.

Conditional branch

Routes your flow into two paths based on a true/false condition. The value passes to the 'true' branch when the condition is met, or the 'false' branch otherwise — like an if/else in code.

Split flow into multiple branches

Duplicates the input signal to three output branches. Use this to run the same data through multiple independent processing paths — like sending price data to different indicator chains simultaneously.

Merge multiple branches

Combines multiple flow branches back into one. In 'any' mode, the first available value passes through. In 'all' mode, all branches must have values. Use after a Split to recombine paths.

Log data for debugging

Writes values to the log so you can inspect what's happening inside your flow. Add it anywhere to debug — check indicator values, see what conditions are firing, or trace signal flow.

Send alert notification

Sends you a notification when a condition triggers. Choose from app notifications, email, Telegram, Slack, or webhooks. Use it to stay informed about trade entries, exits, or risk events.

Emit metrics for monitoring

Records a numeric metric with optional tags for monitoring dashboards. Use it to track custom KPIs like win rate, average PnL, or regime transitions over time.

Send notifications to user's Telegram bot

Sends a message to the user's own Telegram bot. First, create a bot via @BotFather, get the bot token, and find your chat ID by messaging @userinfobot. The message template supports variables: {symbol}, {side}, {price}, {size}, {pnl}.

Post to user's Discord channel via webhook

Sends an embed message to a Discord channel via webhook URL. To get a webhook URL: Server Settings → Integrations → Webhooks → New Webhook. The embed includes trade details with color-coded P&L.

Send email via user's SMTP/API

Sends email notifications using the user's own email service. Supports SendGrid API keys. Useful for trade alerts, daily summaries, or error notifications.

Auto-log trades with full details

Automatically records every trade entry and exit with full details: timestamp, symbol, side, entry price, exit price, P&L, and duration. All entries are saved and can be exported as CSV.

Track win rate, Sharpe ratio, and P&L in real time

Aggregates trade results to compute real-time performance metrics: total P&L, win rate, average win/loss, Sharpe ratio, and profit factor. Connect trade P&L values as they close to keep a running scorecard of your strategy.

Check current trading session

Identifies which major trading session is active (Asia, Europe, US) based on UTC time. Different sessions have different volatility and volume profiles — use this to adjust your strategy accordingly.

Check if within time window

Outputs true only during specified hours and days. Use this to restrict trading to specific times — for example, only trade during the US session on weekdays when liquidity is highest.

Check if current time is weekend

Outputs true on Saturday and Sunday (UTC). Crypto markets trade 24/7 but weekends typically have lower liquidity and higher manipulation risk. Use this to reduce size or skip trades on weekends.