2.3 – Demand zones across timeframes - Mentfx Trading Mentorship

Return to course: Mastery Course Mentfx Trading Mentorship

Previous Lesson Previous Next Next Section

Mastery Course

1.1 - Welcome to the Mentfx private mentorship
1.2 - Setting up TradingView indicator

2.1 - Supply, demand, and the composite operator
2.2 - How true supply and demand is created
2.3 - Demand zones across timeframes

3.1 - Introduction to Ment Blocks (MBs)
3.2 - Ment Blocks across timeframes
3.3 - The universal application of Ment Blocks
3.4 - Fractal nature and timeframes
3.5 - Nested Ment Blocks
3.6 - Introduction to Double MB (DMB)
3.7 - Connecting micro and macro views
3.8 - Interpreting MBs in higher timeframes
3.9 - The cycle of supply and demand
3.10 - Example - NQ futures case study
3.11 - A multi-timeframe perspective
3.12 - Example - Analyzing MBs on UTHR stock
3.13 - Example - A Google trade breakdown

4.1 - Introduction to market structure
4.2 - Structure and order flow
4.3 - Example - A GBTC trade walkthrough
4.4 - Analyzing higher highs and higher lows
4.5 - Rule of Left-to-Right
4.6 - NVIDIA weekly chart case study
4.7 - Anticipating a higher low
4.8 - Principles of basic structure
4.9 - True delivery of the structure

5.1 - The entry timeframe
5.2 - Introduction to EVC (entry, validation, context)
5.3 - Theoretical EVC importance
5.4 - Examples of theoretical EVC
5.5 - Why EVC is important
5.6 - Adapting EVC to your trading style
5.7 - Understanding lower timeframe trading
5.8 - Higher timeframe trading: Pros and cons

6.1 - Generality of EVC
6.2 - Introduction to accumulation model
6.3 - Introduction to market stages
6.4 - Price delivery through Stage 1 and Stage 2
6.5 - Stages example - NVDA
6.6 - Stage 1, stage 2 example - USDJPY
6.7 - Stages and trends
6.8 - Wins, losses, and break-evens
6.9 - Preface to deeper stage understanding
6.10 - Deep stage 1 stage 2 and complex accumulation

7.1 - Stages and cycles
7.2 - Snowflake rule
7.3 - The full market cycle
7.4 - Applying the full market cycle
7.5 - Full cycle executions
7.6 - MBs and the entry full cycle
7.7 - MBs and fractal stages
7.8 - Entry points within market cycles
7.9 - Cycles - from minutes to weeks
7.10 - Markets cycles on all assets and timeframes
7.11 - Bullish and bearish cycles across assets

8.1 - Market cycles visually + intro to V
8.2 - Consistency - small wins, break evens, good losses
8.3 - Applying the full cycle model to NQ futures
8.4 - Trading the cycle (day 4)

9.1 - Introduction to entries
9.2 - Classifying entries to MB, FMB, FFMB
9.3 - Identifying entry opportunities with DMB
9.4 - Accumulation and momentum MBs
9.5 - Accumulation MB characteristics
9.6 - Momentum MB characteristics
9.7 - Bridging the gap between the E and the V
9.8 - Examples of trades (from V to E)
9.9 - A framework for entry
9.10 - Learn from your trades using case studies
9.11 - Using ATR for stop placement
9.12 - Risk calculation in TradingView (simplified)
9.13 - Single major entry cycle concept
9.14 - The flexible EVC approach
9.15 - Momentum and accumulation MBs working together
9.16 - My process of finding trade opportunities

10.1 - Introduction to moving averages
10.2 - Moving averages and market cycles
10.3 - Composite operator and moving averages
10.4 - Moving average interactions with MB types
10.5 - 5 / 10 / 20 moving averages
10.6 - The 5 EMA cheat code
10.7 - MA's and evolving markets
10.8 - Different MA roles across EVC
10.9 - EVC timeframe analysis using MAs

11.1 - Advanced momentum cycle
11.2 - Advanced entry cycle
11.3 - System simplified
11.4 - Entries advanced (part 1 - MB counts)
11.5 - Entries advanced (part 2 - e-micro)

12.1 - Introduction to screener
12.2 - Omniscreener
12.3 - My screening process
12.4 - Customizing screener columns

13.1 - Risk management fundamentals
13.2 - Breaking down risk/reward
13.3 - Expected value
13.4 - Win rates don't matter
13.5 - How different stop sizes equal 1R
13.6 - Risk calculation detailed
13.7 - Additional risk considerations

14.1 - Life cycle of a trade

15.1 - Building blocks of profitable trading
15.2 - Supply and containment lines
15.3 - Market psychology and supply buildup
15.4 - Understanding containment explosion
15.5 - Power of buy stopping highs
15.6 - One schematic to rule them all
15.7 - Accessing templates and tools
15.8 - How to use the case study template in Miro
15.9 - Building case studies together with screener
15.10 - Moving from case study to trading rules
15.11 - Labeling for case studies
15.12 - The rule of 50 trades
15.13 - Analyzing your trading data
15.14 - Developing a trade plan

16.1 - Backtesting your system
16.2 - Backtesting in action
16.3 - Preparing for forward testing
16.4 - Confidence through forward testing

17.1 - Compare markets using relative strength
17.2 - Applying relativity across multiple markets
17.3 - Market strength vs weakness
17.4 - Market comparison methods
17.5 - Market cycles in relativity analysis
17.6 - How to identify and trade relative strength

18.1 - Understanding market correlation and relativity
18.2 - Complete trading system walkthrough
18.3 - Understanding TSA - time spent analyzing
18.4 - Why confusion is normal
18.5 - Essential trading psychology rules
18.6 - The Mentfx guarantee
18.7 - Finding your first profitable trade
18.8 - The biggest favor
18.9 - Building your watchlist
18.10 - Visual proof of the pocket of action

2.3 – Demand zones across timeframes

You are unauthorized to view this page.

Login