Build

Indicators & features

This page is the reference for the platform's feature library: around four dozen technical indicators, three pivot systems, and a deep order-flow suite. A hand-written strategy feeds its indicators from the data it subscribes to — see what the engine gives you. Use it as a menu when you design a strategy or brief the AI builder.

One rule underpins everything here

Every feature documents when its value becomes knowable, and the strategy cannot read it sooner. Indicators expose a warm-up, so a value never appears before the indicator is ready; a session or pivot level simply does not exist until the period that defines it has completed. In a hand-written strategy this holds by construction: an indicator is fed only the bars and trades that have already happened. See what the engine gives you.

Technical indicators

Roughly 48 indicators are available, computed on your 5-second and 60-second bars. The first group is a broad set of classic studies; the second adds a dozen widely-used trend, momentum and volume indicators.

Classic studies

FamilyIndicators
Moving averages EMA, SMA, WMA, Hull (HMA), DEMA, KAMA (adaptive), VIDYA (variable-index)
Momentum & oscillators RSI, MACD, Stochastic, CCI, ROC, CMO
Trend strength ADX, Aroon, linear-regression slope
Bands & channels Bollinger Bands, Keltner Channels, Donchian Channels
Volume OBV (on-balance volume), KVO (Klinger)
Volatility & price reference ATR (rolling), VWAP (session, RTH/ETH and anchored, with bands)
All-in-one Ichimoku Cloud

Extended indicators

A dozen further indicators round out the trend, momentum and volume toolkits:

IndicatorWhat it gives you
SuperTrendAn ATR-based trailing trend line and side flip.
Parabolic SARStop-and-reverse dots that tighten as a trend extends.
Williams %RAn overbought/oversold oscillator on the recent range.
MFIMoney Flow Index — a volume-weighted RSI.
CMFChaikin Money Flow — accumulation vs distribution pressure.
Awesome OscillatorMomentum as the gap between two median-price averages.
Fisher TransformSharpens turning points by reshaping price into a Gaussian.
TRIXTriple-smoothed EMA rate-of-change — a slow momentum filter.
VortexPaired +VI / −VI lines that cross on trend changes.
Stochastic RSIA stochastic applied to RSI for faster momentum reads.
VWMAVolume-weighted moving average.
Heiken AshiSmoothed candles that make trend runs and pauses easier to read.

Pivot systems

Session pivots give you ready-made support/resistance levels for the day, derived from the prior session's high, low and close. Three systems are available — pick the one your approach uses:

  • Floor (classic) pivots — the standard pivot plus R1–R3 / S1–S3.
  • Camarilla pivots — a tighter set clustered around the close, popular for mean-reversion.
  • Woodie pivots — a close-weighted variant.

Each level becomes knowable when the session that defines it is complete, so intraday code can reference “today's R1” without any look-ahead.

Order flow

Because the platform carries trade-by-trade and quote data, your strategies (and the preview chart) can read a full order-flow suite — the kind of microstructure detail that separates a level that holds from one that breaks.

Footprint & big trades

  • Footprint — the intra-bar distribution of volume, in four display modes: Bid×Ask (buy vs sell volume side by side), Volume (total traded per price), Trades (trade count per price), and Delta (net buy-minus-sell per price).
  • Big Trades — highlights unusually large prints, with a fixed mode (a threshold you set) or an adaptive mode that scales the threshold to recent activity so it keeps flagging the right prints as conditions change.

Delta & value area

  • Delta and cumulative delta — per-bar aggressor delta (buy minus sell volume) and its running total, plus delta-by-price and delta divergence.
  • Value area — the volume profile's point of control (POC) and value-area high/low (VAH/VAL), plus the TPO profile, so you can trade toward or away from where the day did most of its business.
  • Order-flow VWAP — session VWAP with standard-deviation bands as a fair-value reference.

Absorption, exhaustion & imbalance

Higher-level proxies read the tape for you: imbalance (one side dominating at a price), absorption (heavy volume that fails to move price — someone soaking up flow), and exhaustion (a thrust running out of participants). Use them as filters or triggers the same way you'd use any other feature.

Using features in a strategy

In hand-written code you subscribe to the data and register the indicators you need (see Writing strategies by hand). In the AI builder, just name them in plain English — “filter entries with a 200-period EMA and only take longs when cumulative delta is rising” — and the generated code wires up the right features. Either way, the same warm-up and knowable-when rules apply, and the preview chart can draw any of these so you can see that the code reads the market the way you intended.

A hand-written strategy sets an indicator's parameters in its own code, where it creates the indicator, and draws what it wants on the run's charts with the platform's plot helpers.