SLAW TRADING SCALP-X

SLAW TRADING SCALP-X – Multi-Filter Scalping Suite
SLAW TRADING SCALP-X is an intraday scalping tool designed for fast markets (crypto, FX, indices) on lower timeframes such as 1m–5m charts. It combines multiple classic concepts into a single, rule-based framework and only prints signals when several conditions agree.
The script uses:
Heikin Ashi structure to smooth noise and detect bullish/bearish candle bias.
Dual EMAs (fast & slow) to define the main trend and to filter trades in the direction of that trend.
Stochastic and MACD as momentum filters. Both can vote for long/short, contributing to a combined momentum score.
Swing / pivot detection (local highs/lows and fractals) to locate potential exhaustion zones and entries near short-term reversals.
ATR-based volatility filter that ignores “dead” low-volatility periods and overly explosive candles, adapting automatically across different markets.
Candle-quality filter that checks body/wick ratios to avoid extreme wick manipulation and very small bodies.
A momentum score is built from Stochastic, MACD and swing conditions. Long or short signals are only allowed when the score reaches a configurable minimum, the trend filter agrees, price is close to the fast EMA, volatility is inside a healthy range, and the candle passes the body/wick quality checks.
The script also contains signal-management logic:
Maximum number of consecutive signals in the same direction (to avoid endless buying or selling in trends).
Minimum bar distance between two signals (to reduce over-trading and clustering).
When all filters line up, the indicator plots “L” and “S” labels on the chart and exposes corresponding alertconditions (“LONG” and “SHORT”) so traders can connect it to webhooks or bots.
This script is intended as a tool for discretionary traders, not an automatic profit guarantee. It works best when combined with your own risk management, session filters and higher-timeframe analysis. Nothing in this indicator is financial advice; always test on a demo account and adapt the parameters to your market and timeframe.