Sigma Core Crypto Trading Strategy

Use the Sigma Core Crypto Trading Strategy for day trading and swing trading major crypto pairs. This strategy provides real-time entry and multi-level take-pro

Published · Updated · Methodology: Mixed

Part of: Risk Management

  • Methodology: Mixed
  • Content type: strategy
  • Timeframes: Not explicitly stated for signal generation, but signals are meant to develop over 20 to 25 hours for swing and deep signals.
  • Markets: Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), Solana (SOL), Cardano (ADA), Binance Coin (BNB), Tron (TRX), Dogecoin (DOGE)

Indicators used

  • Sigma Core
  • Stop Loss Hunter Radar

Source video

Decoded from: This Is My Crypto Trading Strategy — Sigma Core, Explained by The Good, The Bad And The Bitcoin — watch the original

Key timestamps:

  • 0:00 - Introducing Personal Trading Signals Platform
  • 1:07 - Supported Pairs and Core Indicator Overview
  • 2:44 - How Sigma Core Filters Signals
  • 3:14 - Signal Structure Entries and Six Targets
  • 4:23 - Three Signal Types Scout Swing Deep
  • 8:36 - Stop Loss Strategy and Personal Trading Style

Strategy overview

Risk management is the part of a trading plan that decides, before entry, what a position is allowed to cost and how it will be taken off. What makes this entry unusual is that risk is the *only* layer a viewer can actually inspect: Sigma Core is a proprietary indicator that runs on its creator's own server rather than as a published TradingView script, with settings described as optimised and locked. The signal engine is a closed box by design, so the discussion of stops, targets and exposure is where the video stops being a product demo and starts being a strategy.

That framing shapes what the video spends time on. Its chapter list moves from the signals platform and supported pairs to how signals are filtered, then to the structure of a signal — entries and a laddered set of six targets — and finally to stop placement and the creator's own trading style. The exit ladder matters more than it might appear: when a follower cannot audit why a signal fired, the scaling-out schedule becomes the main lever they control over the trade's payoff. Stop placement is framed the same way, with a second tool aimed at identifying where stop orders cluster, treating the stop as a location problem — not being parked where the crowd is — rather than a fixed percentage. And because the slower signal types are described as developing over roughly 20 to 25 hours, sizing here is a question of overnight and multi-day exposure across several open pairs at once, not of a single intraday risk unit.

The closed nature of the tool is worth stating plainly. Because the indicator is not available publicly and its logic is not disclosed in the video, no rules could be extracted for this entry, and none of the approach can be independently backtested or reproduced from the source material. The account of the signal types and the personal trading style is the creator's own description of their system, presented as such.

Topics

sigma core strategy · crypto trading strategy · bitcoin trading strategy · ethereum trading strategy · swing trading · day trading strategy · pine script · tradingview strategy · btc trading strategy · xrp trading strategy · sol trading strategy · altcoin trading strategy · cryptocurrency signals · trading strategy

Frequently asked questions

What is the Sigma Core crypto trading strategy?

It is a signal-based crypto approach presented by the channel The Good, The Bad And The Bitcoin, built around a proprietary indicator called Sigma Core. The indicator runs on the creator's own server rather than being published as a TradingView script, and its settings are described as optimised and locked, so followers act on the output rather than the logic.

What are the Scout, Swing and Deep signal types?

They are the three signal categories the video distinguishes, separated mainly by how long a setup is expected to take to play out. The swing and deep variants are described as developing over roughly 20 to 25 hours, which makes them multi-session positions rather than intraday trades.

Why does risk management matter more when the signal logic is proprietary?

Because it is the only part of the trade the follower actually controls. If you cannot audit why a signal fired or test the condition that produced it, your position size, your stop placement and how you scale out of targets are the whole of your edge management — and open exposure across several pairs at once compounds that.

Can the Sigma Core indicator be backtested on TradingView?

No. The indicator is not published on TradingView and its rules are not disclosed in the video, so no strategy rules were extracted for this entry and the approach cannot be independently reproduced or backtested from the source. Strategy Decoder extracts structure only where a video actually states its logic.

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.

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