JACKAL.TRADER
FIELD JOURNAL & REFERENCE
TRADES0
WIN RATE—
TOTAL R0.00
EV—

The Hunt, In Numbers

— Trust the curve, not the candle.
Stalker's note: A profitable system needs 50–100+ trades to evaluate honestly. Single trades tell you nothing.
Total Trades
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0 paper · 0 live
Win Rate
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Wins / completed
Expected Value
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Per-trade R expectation
Total R
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Cumulative R
Avg Win
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Mean positive R
Avg Loss
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Mean negative R
Best
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Worst
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EQUITY CURVE
Cumulative R over trade sequence
GOAL PROGRESS
The work that earns the next stage
RECENT TRACKS
Last five trades

Course Reference

— Full framework summary · Ctrl+F to search
How to use: Before analysis, refresh the concepts. During analysis, Ctrl+F for anything. This is a summary in plain language — not a replacement for practice.

Chapter 1 · The Foundation

Everything begins with two forces

Supply and Demand — The Only Force

Markets don't move because of news, indicators, or patterns. They move because someone with money wants to buy or sell more aggressively than the other side. Everything you see on a chart is a footprint of this one process.

When buyers overwhelm sellers, price rises. When sellers overwhelm buyers, price falls. When they balance, price goes sideways. That's the entire game. Every technique you'll learn is just a way to spot when this balance is about to shift.

Key
Price direction always reveals which side is winning. Your job is to spot the winning side early and align with it, not to guess which side should win.

The Composite Operator

Imagine that all the smart money in the market — hedge funds, banks, whales — behaves as if it were a single coordinated entity. This is a thought model from Richard Wyckoff's 1920s work. It doesn't literally exist, but it helps you think.

This "composite operator" doesn't chase price. It patiently accumulates positions when the crowd is selling, then marks price up when supply has dried up. Your entire job as a trader is to spot the composite operator's fingerprints and get on the same side of the market.

You're not competing with the market. You're trying to identify where the largest force in the market is going, and step onto that train.

Universal Principles

These principles apply to every market (stocks, forex, crypto, futures, commodities) and every timeframe (weekly, daily, hourly, minute). If a concept only works on one asset or one timeframe, it isn't a real edge — it's coincidence.

This is why the framework doesn't tell you what to trade. It tells you how to recognise when any market is doing something worth trading.

Chapter 2 · Market Structure

How real moves develop

Stage 1 and Stage 2

Every meaningful price move goes through two basic phases:

  • Stage 1 — Accumulation. Price moves sideways. Big money is quietly building positions while the crowd loses interest. Looks boring on the chart.
  • Stage 2 — Markup. Once accumulation is complete, price breaks out and trends. This is the phase most retail traders chase — usually too late.

The two stages then repeat. A Stage 2 leads to another Stage 1 (higher up), which leads to another Stage 2. This is called the trend. Eventually the pattern fails and price either reverses or enters longer consolidation.

Reality check
Stages are not perfect boxes. Real price action is messy — Stage 1 might overshoot in both directions, and Stage 2 often begins before Stage 1 is "clearly" over. Look for the general shape, not the perfect picture.

The Full Market Cycle

The complete cycle looks like this:

  1. A major flush resets the market — a sharp, decisive drop
  2. Higher low forms — big money starts anticipating a bottom
  3. Accumulation begins — Stage 1 develops
  4. First markup — Stage 2 kicks off, price breaks higher
  5. Flush and reaccumulation — smaller version of steps 1–3
  6. Continued markup — this cycle repeats several times
  7. Failure — the trend exhausts, another major flush occurs, either a new cycle starts or the market becomes untradeable

Not every market goes through the complete cycle. Most only produce 1–2 clean momentum phases before failing. Don't expect endless continuation.

Fractal Nature

Everything above happens on every timeframe simultaneously. A single up-candle on the weekly chart might contain a complete Stage 1 and Stage 2 on the 4-hour, which contains multiple smaller stages on the 15-minute.

This matters because you can find your setup on any timeframe you're comfortable with. It also means what looks like noise on one timeframe might be a clear structure on another.

The Snowflake Rule

Every market cycle follows the same general shape, but every one is unique in the details. Same fundamental structure, no two identical.

This frees you from expecting textbook perfection. Real cycles are lumpy, sometimes truncated, sometimes overextended. Don't wait for the "perfect" setup — it doesn't exist. Wait for setups that follow the general principles clearly enough to justify risk.

Chapter 3 · The MB System

Naming what the market shows you

What Is An MB?

An MB is a validated demand zone — an area on the chart where buyers stepped in with enough conviction to reverse selling and push price higher. When price later returns to this zone, buyers often step in again, making it a potential entry point.

Concretely, an MB usually forms as: one or more down-candles (supply coming in), followed by decisive up-candles that close above the down-candle range (demand overwhelming supply). The zone of the down-candles becomes the MB.

In classical technical analysis this is called a demand zone or a supply/demand pivot.

MB, FMB, and FFMB

Because markets are fractal, MBs appear at multiple scales inside each other:

  • MB — the main demand zone visible on your working timeframe
  • FMB (Fractal MB) — a smaller MB nested inside an MB
  • FFMB (Further Fractal MB) — the smallest useful demand mark, often a single candle

Larger MBs give context; smaller nested MBs give more precise entries with tighter stops.

The Double MB

The strongest moves begin with a Double MB — two demand zones forming in sequence, with the second one holding above the first. This shows buyers repeatedly defending higher prices.

Not every Double MB leads to a big move. But the strongest moves almost always start with one. Treat it as a necessary but not sufficient condition.

Accumulation MBs vs Momentum MBs

Where an MB forms determines its personality:

  • Accumulation MBs form during Stage 1 or after a flush. Price is often below or at the moving averages. Biggest potential moves but require patience.
  • Momentum MBs form during Stage 2, above the rising moving averages. Quicker profits but smaller runs.

Neither is "better." They suit different personalities and different account sizes.

Momentum MBs 1 through 4

Within a healthy Stage 2:

  • MMB1 — first pullback after breakout. Highest probability of continuation.
  • MMB2 — still strong but often produces smaller moves.
  • MMB3 — trend maturing. Weaker probability, faster management.
  • MMB4 — usually the last. High risk of failure.

Most trends produce only 1–2 momentum MBs before failing. Don't automatically assume a fourth.

Chapter 4 · Multi-Timeframe Analysis

One market, three lenses

The EVC Framework

Look at every setup through three timeframes:

  • E — Entry. Where you place your trade. Your choice, based on lifestyle.
  • V — Validation. Roughly 6× your entry timeframe. Confirms the broader picture.
  • C — Context. Roughly 10× your validation. Tells you if there's still room to continue.

Example: 15min entry → 1H validation → Daily context. Or 1H entry → Daily validation → Weekly context.

Why
Trading only one timeframe is like walking through a forest looking at your feet. You'll trip over roots that were obvious from head height.

Choosing Your Entry Timeframe

Personal. Match it to your life, not to what looks glamorous.

  • Lower (1min–15min): More opportunities, faster feedback. Requires constant attention, high emotional control, 4–8 hours of screen time. Blow-up risk highest here.
  • Middle (30min–4H): Balanced. A few setups per week. Manageable alongside a job.
  • Higher (Daily–Weekly): Fewer trades, larger moves, minimal screen time. Requires patience.

E-Micro Analysis

Advanced refinement: zoom below your entry timeframe (roughly 30× smaller) to see fine structure. Useful for tighter stops. Add this once your base system is profitable.

Chapter 5 · Moving Averages

Price memory, visualised

The 5/10/20 EMA Stack

  • 5 EMA — very reactive, short-term momentum
  • 10 EMA — the workhorse, defines immediate trend
  • 20 EMA — slower guardrail, defines intermediate trend

In a healthy uptrend: 5 above 10 above 20, all sloping up. In a downtrend, the reverse. When tangled or flat, there's no trend to trade.

Reading MA Interactions

  • Price holding above rising MAs = institutions defending positions
  • Price cleanly breaking below MAs = distribution beginning
  • Price flushing to MAs and reversing = new demand, often an MB

The 5 EMA "Cheat Code"

The 5 EMA reacts fastest. If price is respecting the 5 EMA, that's an early signal the 10 EMA will "catch up" and support price. Early read on whether a pullback is healthy or the start of a break.

Chapter 6 · Trade Selection

Finding markets worth risking on

Supply Line / Containment Line

Draw a line marking the ceiling of a Stage 1 range. When price cleanly breaks above this line, it's the transition from Stage 1 into Stage 2 — demand has proven it can overwhelm the sellers in control.

Buy-Stop The High

Counterintuitive but critical: in a truly trending market, buying highs makes money. Buying through the high with a stop-order.

Why? A real trend has more buyers waiting above than sellers waiting to short. Every retail trader trying to "pick the top" becomes fuel when they cover.

Only true in truly trending markets. In chop, buying highs loses consistently.

Screening and Selection

Thousands of tradeable markets. Filter systematically:

  • Markets that have moved meaningfully recently — momentum begets momentum
  • Sufficient volume/liquidity (dollar volume ≥ 10× your account)
  • Structure matches your framework
  • Delete messy ones without hesitation

Relativity — Pink Silk vs Green Silk

When markets are correlated, compare them. Green silk sells $5k a year. Pink silk sells $50k. Where do you invest? Obviously pink. Trade what's being bought aggressively, not what you hope will "catch up."

Key trap
Weak assets don't "catch up" to strong ones. Strong stays strong, weak stays weak — until the regime changes. Don't buy weakness hoping for reversion.

The Pocket of Action

Most markets, most of the time, are untradeable. Only about 5% of price action is genuinely worth risk. Recognise when a market transitions from chop into a tradeable pocket — and walk away when it returns to chop.

Chapter 7 · Risk & Management

The only thing that keeps you in the game

The 1R Framework

Everything measured in R — fixed unit of risk. Pick a % of account (0.25% to 1%) — that's 1R. Every loss = 1R. Wins measured in multiples: 2R, 5R, 10R.

Why? Makes risk consistent regardless of asset, timeframe, or stop. Decouples emotion from dollar amounts as you scale.

Position Sizing

Math, not opinion. Given account, risk %, and stop distance, there's exactly one correct size:

Position size = (Account × Risk%) ÷ Stop distance

Use the calculator. Every time. Never eyeball.

Expected Value

A system is profitable if EV per trade is positive:

EV = (Win% × Avg Win) − (Loss% × Avg Loss)

Example: 35% win rate, wins avg +3R, losses avg −1R:

EV = (0.35 × 3) − (0.65 × 1) = +0.4R per trade

Low win rate is fine if winners are big enough. Chasing high win rates with tiny profits is a trap.

Break-Even and Partials

  • Move to break-even when price validates your idea
  • Take partials at pre-decided R-multiples
  • Let the runner run with a trailing stop

Have rules, test them, follow them.

Trailing Stops

Options: trail behind recent candle lows, use the 10 EMA, or higher-timeframe structure. Depends on holding period. Test in your data.

Chapter 8 · The Learning Process

The boring part that actually works

Case Studies

Pick a market that made a clean move. Work backwards. Label stages, MBs, EVC, MA behaviour. Document. Repeat 100+ times.

Builds pattern recognition without risking money. No substitute. Skipping this is why most traders never become profitable.

Data Collection

Define simple rules clear enough that another person could apply them. Track 50+ trades. Record entry, stop, target, outcome, and max R the trade offered.

The "max R" column is critical — tells you whether entries are good but management is bad, or vice versa.

Backtesting

Apply rules to historical charts bar-by-bar — no peeking. Document every trade. Minimum 50–200 trades. Discover whether rules produce positive EV.

Forward Testing

Paper trade in real-time for 3+ months following rules that passed backtest. Paper results should match backtest within reasonable variance.

The Rule of 50

After 50 trades, if up at least +1R total, you have a working system. After 100, aim for +2R. Not huge — but hitting it means you're doing better than ~90% of retail traders.

Critical
Do not evaluate on fewer than 50 trades. Random variance dominates smaller samples. Trust the curve after 50+.

Chapter 9 · Psychology

The rules that fix most problems

Analysis ≠ Execution

Seeing a setup doesn't mean trading it. Most analysis leads to no trade — healthy, not failure. Feeling obligated to trade every pattern = overtrading = losing money.

Time Spent Analysing

Roughly 95% of your time is analysing, not being in trades. 95% of analysis reveals untradeable conditions. Normal. The successful curve hides enormous periods of doing nothing.

Scaling, Not Instant Riches

Goal isn't life-changing money on $1k account. Goal is a repeatable process that scales. Small account = small returns. Large account = large returns. Same process.

Focus on R-multiples and process. Let scaling do wealth-building over years.

Chapter 10 · An Honest Reality

Things worth knowing openly

The framework is a real, coherent approach. The concepts — supply/demand, multi-timeframe, EMA confluence, systematic risk management — are legitimate. Many pros use variations.

Some things worth holding in mind:

  • Regulators consistently report 70–85% of retail traders lose money, across every methodology. No framework exempts you — this one improves your odds if you do the boring work.
  • The most powerful concepts come from Wyckoff (1920s–30s), freely available in his original books.
  • Any education promising "millions" is marketing, not education.
  • The biggest determinant of success won't be the framework — it'll be whether you do the case studies, log the trades, and follow your rules for months before risking real money.

Trade small, log everything, be patient, don't quit the day job. The framework is a tool. You are the trader.

Pre-Trade Workflow

— Commit to reasoning before capital moves.
Why: Your reasoning before you know the outcome is the only honest record of whether your process works. The checklist auto-resets after each planned trade — forces fresh clearance every time.
CLEARANCE CHECKLIST
Every box, every trade — resets after planning
PLAN THE TRADE
Turns into an open position

Open Positions

— Close honestly when done.

Trade Log

— Every closed trade.
QUICK LOG
ALL TRADES
PERFORMANCE BY SETUP
PERFORMANCE BY ASSET

Case Studies

— Target: 100+.
NEW STUDY
0 logged
ARCHIVE

Calculators

— Math not opinion.
POSITION SIZE
R-MULTIPLE
EXPECTANCY SIMULATOR

Operating Doctrine

— Read before every session.
PERSONAL RULES

Periodic Reviews

— Weekly. Monthly. Honest.
NEW REVIEW
ARCHIVE

Data & Backup

— Your data lives in your browser. Back it up.
Important: This site stores your journal in your browser only. If you clear site data, use a different browser, or your device dies, your data is gone unless you've exported it. Export regularly. Import on new devices.
EXPORT ALL DATA
Download a complete JSON backup of trades, cases, reviews, rules, concepts
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IMPORT DATA
Restore from a previous export — merges or replaces existing data
DANGER ZONE
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