Supertrend, ATR, ADX, EMA Scalping Strategy

A Bitcoin scalping strategy using Supertrend, ATR, ADX, and EMA on 15-minute and 4-hour timeframes. Trades based on trend, volatility, and strength signals.

Published · Updated · Methodology: Technical Indicators

Part of: EMA Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: 15 minutes, 4 hours
  • Markets: BTC-USDT, Binance Perpetual Futures

Indicators used

  • Supertrend
  • ATR
  • ADX
  • EMA
  • SMA

Source video

Decoded from: Bitcoin SCALPING strategy using Supertrend in Python by Algo-trading with Saleh — watch the original

Key timestamps:

  • 0:19 - Main indicator: Supertrend
  • 1:15 - Supertrend logic for trend direction
  • 2:42 - Position sizing with entire capital (initial)
  • 3:40 - Exit rule: ATR for Stop Loss and Take Profit
  • 4:55 - ATR calculation and usage
  • 6:50 - Adding ADX for trend strength
  • 8:50 - Using a bigger timeframe (4 hours) for overall trend
  • 11:40 - Adding EMA 200 on 4-hour timeframe
  • 14:00 - Position sizing with risk per capital (3%)

Strategy overview

Moving averages earn their place in scalping systems as the slow context layer — the thing that says which way the market is leaning while faster tools handle timing. What makes this entry unusual is that the exponential moving average is the fourth name in its title and never gets a chapter of its own: the recorded timeline opens on Supertrend at 0:19, spends its first minutes on how that indicator reads trend direction, and treats the moving averages as background context rather than the subject of the lesson.

The reason is the format. "Bitcoin SCALPING strategy using Supertrend in Python" from Algo-trading with Saleh is a code-along, not a chart walkthrough — the strategy is assembled in a script, one indicator added at a time, and the chapter list reads like a build log rather than a setup description. That ordering carries its own tell: position sizing arrives at 2:42, *before* the exit rule at 3:40, which is the sequence you get when you are writing a backtest (the engine needs to know how much to buy before it can know when to sell) rather than the sequence a discretionary trader would teach. ADX turns up last, at 6:50, as a strength filter bolted onto a structure that already worked — the classic shape of a video where each addition answers a weakness exposed by the previous version.

The record spans two timeframes, a 15-minute operating chart and a 4-hour reference, and no rule set has been extracted from this source. That is consistent with the format: in a Python walkthrough the logic lives in code the presenter types rather than in levels drawn on a chart, so what this page can offer is the concept and the shape of the video, not a rule-by-rule reconstruction.

Topics

scalping strategy · btc trading strategy · supertrend strategy · atr indicator strategy · adx indicator strategy · ema strategy · 15 minute strategy · pine script · trading strategy · tradingview strategy · technical indicators · bitcoin scalping strategy · cryptocurrency trading

Frequently asked questions

What is a Supertrend scalping strategy?

It is a short-timeframe approach that uses Supertrend — a volatility-based trend indicator that flips between bullish and bearish states — to define market direction, then layers additional filters and exit logic on top. This video builds one for Bitcoin in Python.

How does an EMA fit into a Supertrend-based system?

Moving averages are generally used as the slower context layer in this kind of system: Supertrend handles the directional flip while a long-period average describes the broader lean. In this video the moving averages sit among the indicators used rather than being the focus of any chapter.

Do you need to know Python to use a strategy like this?

Not to understand the concept, but this particular source is a coding walkthrough — the presenter builds and tests the strategy in a script rather than trading it manually on a chart, so following along step by step assumes some Python familiarity.

What timeframes does this strategy use?

The record lists a 15-minute chart and a 4-hour chart, a common pairing in scalping systems where the faster chart carries execution and the slower one supplies trend context.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

Other versions of this strategy

More decoded strategies