Moving Average Crossover, Modified RSI Strategy
A trend-following strategy using Moving Average Crossover for entries and a modified RSI as a trend filter to trade forex, gold, and commodities across day trad
Published · Updated · Methodology: Technical Indicators
Part of: Moving Average Crossover
- Methodology: Technical Indicators
- Content type: strategy
- Timeframes: day trading, scalping, swing-based approach
- Markets: forex market, gold market, commodities trading, financial markets
Indicators used
- Moving Average Crossover
- RSI
Source video
Decoded from: I Deleted My Entire Strategy and Rebuilt It Around These 2 Components by TradeGenius — watch the original
Key timestamps:
- 0:46 - Introduction to the two components: MA Crossover and Modified RSI
- 1:25 - Moving Average settings explained
- 1:55 - RSI settings explained
- 2:58 - RSI trend filter logic explained
- 3:45 - Buy setup step-by-step
- 4:50 - Risk management (Stop Loss, Take Profit, Position Sizing)
- 5:50 - Sell setup explained
Strategy overview
A moving average crossover marks the moment a shorter average crosses a longer one, treating that switch as a change in trend control. What makes this entry worth its own page is not the crossover but the premise wrapped around it: TradeGenius frames the video, "I Deleted My Entire Strategy and Rebuilt It Around These 2 Components", as an act of subtraction — tearing down a working system and keeping only two moving parts. That framing is a genuine editorial position rather than a hook, because it forces the question most indicator videos avoid: if you can only keep two things, which two actually carry the strategy?
The answer given here pairs the crossover with RSI, but not in RSI's usual job. The video dedicates a segment specifically to RSI trend-filter logic, which inverts the indicator's conventional role — instead of flagging when price is stretched and due to snap back, RSI is read as a directional gate that either permits or blocks the crossover signal. That inversion changes the character of the whole system. A crossover trigger and a same-direction filter do not argue with each other the way a trend signal and a mean-reversion oscillator normally do; they agree or stay silent, which cuts the signal count and shifts the entire outcome onto how that filter is calibrated.
Two further details are visible in how the source is structured. The final section of the video is given over to risk management — stop placement, target and position sizing treated as their own component rather than an afterthought appended to the entry rules. And the strategy is catalogued across scalping, day trading and swing-based use, implying the two-component pair is presented as portable rather than tied to one holding period. This entry is catalogued at concept level: the specific rule set from the video has not been recorded here, so treat the page as a map of what the source builds and why, not as the parameters themselves.
Topics
moving average crossover strategy · rsi strategy · trend following strategy · pine script · tradingview strategy · forex strategy · gold trading strategy · commodities trading strategy · day trading strategy · scalping strategy · swing trading strategy · technical indicators · trading strategy
Frequently asked questions
What is a moving average crossover strategy?
It is a rule that watches a shorter moving average cross a longer one and treats that crossing as a shift in trend direction — the shorter average reacting to recent price faster than the longer one is what generates the signal.
What does it mean to use RSI as a trend filter instead of an overbought/oversold indicator?
Conventionally RSI is read at its extremes to flag stretched conditions and possible reversals. Used as a trend filter, it is read instead for which side of a reference level it sits on, so it answers "which direction is currently in control?" and gates trend signals rather than opposing them.
Why would a trader rebuild a strategy around only two components?
Fewer components mean fewer parameters to fit and fewer conditions that can silently conflict, which makes behaviour easier to attribute when performance changes. The trade-off is concentration: with only a trigger and a filter, the calibration of each one carries far more weight.
Does this page contain the exact settings used in the video?
No — this entry is catalogued at concept level, with no rule set, timeframe or market recorded. Strategy Decoder catalogues strategies presented in video sources so the underlying structure can be evaluated and tested on TradingView before any capital is risked.
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.
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Other versions of this strategy
- Moving Average Crossover Strategy — ZipTrader
- Moving Average Crossover Trading Strategy — Ali Casey | StatOasis
- Moving Average Crossover Strategy — github.com
- Moving Average Crossover Strategy — chartswatcher.com
- Overfitting, Q-Learning, Moving Average Crossover, RSI — Ignacio Ayago | Trading con Bots
- Moving Average Crossovers, ATR Strategy — mql5.com