Platform Features & Engineering Guide
Explore the technical capabilities powering Tradzy—from visual condition-tree grammars to survivorship-bias-free data pipelines and automated paper-trading passes.
Visual Condition-Tree Strategy Builder
Traditional strategy builders limit you to flat, rigid checklists. Tradzy introduces a recursive condition-tree grammar that expresses any systematic logic you can conceptualize—without writing boilerplate code.
Flexible Hierarchical Groups
Nest AND, OR, and K-of-N (e.g. "at least 2 of these 4 indicators must confirm") groups arbitrarily to model confirmation setups and fallback triggers.
Extensive Indicator Registry
Moving Averages (SMA, EMA, WMA), RSI, MACD, Bollinger Bands, ATR, Supertrend, Stochastic Oscillator, ROC, and Volume Moving Averages.
Market Regime Guards & Concurrency Ranking
Filter entries based on the broad index (e.g. "Only take long entries when NIFTY 50 > 200 SMA") and rank competing breakout signals using Rate of Change (ROC) or ATR when cash slots are limited.
Compounding
1/5 capital per slot15 bps
Interactive calculatorFriction-Aware Backtesting Engine
Most backtesting frameworks report theoretical numbers that evaporate upon real market execution. Tradzy models the true frictions of Indian equity trading:
- 1Whole-Share Integer QuantitiesPositions are sized strictly in integer lots (floor of allocated rupee amount divided by entry price), preventing fractional share illusions.
- 2Brokerage vs Slippage Drag SeparationReal-time what-if analysis splits exchange turnover charges from adverse execution slippage to protect real returns.
- 3Fixed vs Compounding Capital SizingTest flat amounts per trade, or compounding capital pools with configurable Reinvest or Withdraw risk modes.
Automated 3-Stage Live Terminal (IST)
Once a strategy proves itself in backtests, deploy it to the Live Terminal with one click. The platform executes a synchronized three-cron pipeline mimicking a professional systematic desk:
Ingests fresh daily NSE OHLCV for all 500+ constituents, calculates derived indicators, and updates the local Parquet cache.
Evaluates active condition trees against fresh evening data, marks open positions to market, processes stops, and freezes pending orders for the next morning.
Executes simulated market open fills at live prices, sorting entries by Concurrency Ranking into available portfolio slots.
Tradzy’s calendar service tracks all National Stock Exchange (NSE) exceptions. When the exchange is closed for Republic Day, Independence Day, or Diwali, cron jobs exit cleanly without generating spurious errors.
DBSCAN Density Clustering vs Manual Lines
DBSCAN analyzes historical daily highs, lows, and closes over years of price action to discover statistically significant horizontal zones where institutional orders accumulate.
DBSCAN Support & Resistance & Chart Explorer
Stop drawing arbitrary trendlines on charts. Tradzy uses unsupervised machine learning and mathematical volatility models to identify price barriers objectively:
- ✓Universe Zone SweepsScan the entire NIFTY 500 in seconds for stocks approaching key support or breaking through resistance.
- ✓Polarity Flip DetectionDetect former resistance levels acting as newly established support zones during market pullbacks.
- ✓Date-Replay Chart ExplorerReplay historical support and resistance zones from any past date to audit how the market responded.
Experience the Platform in Action
Start building your first quantitative swing trading system today.