Trading Fundamentals

Trading Fundamentals

Skill: Trading Fundamentals | Domain: trading | Category: fundamentals | Level: beginner Tags: trading, fundamentals, psychology, development, dual-tf, risk

1. Market Structure

Market Types

Market Participants

Market Microstructure

• Bid-Ask Spread: Cost of immediacy; tighter = more liquid
• Order Book Depth: Volume at each price level; thin books = slippage
• Price Discovery: Process of finding fair value through supply/demand
• Market Impact: Price moves against your order as size increases
• Slippage: Difference between expected and executed price
• Tick Size: Minimum price increment (e.g., $0.01 stocks, 0.25 pts ES futures)
• Lot Size: Standard trading unit (100 shares stocks, 100,000 units forex standard lot)

2. Order Types

Basic Orders

Advanced/Algorithmic Orders

Iceberg Order Example

Total Order: 100,000 shares Display Quantity: 1,000 shares → Market sees only 1,000 at a time → After each fill, 1,000 more displayed → Used to hide large institutional interest

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## 3. Asset Classes

| Asset Class | Sub-Types | Key Characteristics | Typical Instruments |
|-------------|-----------|--------------------|--------------------|
| **Equities** | Stocks, ETFs, ADRs | Ownership stake, dividends, earnings driven | AAPL, SPY, QQQ |
| **Fixed Income** | Gov bonds, Corp bonds, Munis | Interest payments, duration risk | TLT, AGG, UST |
| **Commodities** | Energy, Metals, Agri | Inflation hedge, cyclical | Gold, Oil, Corn |
| **Forex** | Major, Minor, Exotic pairs | 24/5 market, leverage, macro driven | EUR/USD, USD/JPY |
| **Derivatives** | Options, Futures, Swaps | Leverage, hedging, expiration | SPX options, ES futures |
| **Cryptocurrencies** | Layer-1, DeFi, Stablecoins | 24/7, high volatility, on-chain data | BTC, ETH, SOL |
| **Real Assets** | REITs, Infrastructure | Tangible, inflation protection | VNQ, MLP |
| **Alternative** | Hedge funds, PE, Commodities | Low correlation, illiquid | SPACs, art, wine |

### Asset Class Correlations (Typical)

- **Stocks ↔ Bonds**: Negative correlation in risk-off; breaks down in stagflation
- **USD ↑ → Gold ↓**: Usually negative (priced in USD)
- **Oil ↑ → CAD ↑**: Canada major oil exporter
- **Risk-off**: Buy USD, JPY, Gold, Treasuries; Sell EM, commodities
- **Risk-on**: Buy stocks, commodities, EM; Sell USD, bonds

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## 4. Trading Timeframes

| Style | Holding Period | Chart TF | Trades/Day | Typical R:R | Capital Required |
|-------|---------------|----------|-----------|-------------|-----------------|
| **Scalping** | Seconds–minutes | 1s–5m | 20–100+ | 1:1–1.5:1 | High (commissions) |
| **Day Trading** | Minutes–hours | 5m–1h | 2–10 | 2:1–3:1 | $25k+ (PDT rule) |
| **Swing Trading** | Days–weeks | 4h–Daily | 3–15/month | 3:1–5:1 | $5k–$25k |
| **Position Trading** | Weeks–months | Daily–Weekly | 1–5/month | 5:1–10:1 | $10k+ |
| **Investing** | Months–years | Weekly–Monthly | Annual | N/A | Any amount |

### Multi-Timeframe Hierarchy

Higher TF → Determines Trend Direction (Primary Bias) Middle TF → Confirms Setup / Pattern Lower TF → Precise Entry/Exit Timing

Example (Day Trader): HTF: Daily chart → Uptrend (above 200 EMA) MTF: 1h chart → Pullback to key support LTF: 15m chart → Bullish reversal candle for entry

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## 5. Core Principles: Risk Management (10 Rules)

### Rule 1: Never Risk More Than 1-2% Per Trade

Account: $50,000 Max Risk/Trade: 1% = $500 If stop = 50 points at $10/point → Max 1 contract

### Rule 2: Define Risk BEFORE Entry

- Place stop loss before entering
- Know exact dollar risk before sizing position
- Never move stops to avoid a loss (move only to lock in profit)

### Rule 3: Use Position Sizing, Not Gut Feel

- Size = Risk Amount ÷ (Entry Price − Stop Price)
- Always calculate; never guess

### Rule 4: Maintain Positive Expected Value

EV = (Win Rate × Avg Win) − (Loss Rate × Avg Loss) EV must be > 0 for long-term profitability Example: 40% WR, $300 avg win, 60% LR, $150 avg loss EV = (0.40 × $300) − (0.60 × $150) = $120 − $90 = +$30 per trade ✓

### Rule 5: Risk-Reward Minimum 2:1

- Never take a trade with R:R < 1.5:1
- Optimal: 2:1 to 3:1 for most strategies
- Allows profitability at 40% win rate: (0.40 × 2) − (0.60 × 1) = +0.20R

### Rule 6: Correlation Risk Management

- Don't hold multiple correlated positions at full size
- If 3 long tech stocks: effective risk = 3× single position risk
- Limit correlated sector exposure to 5–6% of capital

### Rule 7: Drawdown Limits

- Daily loss limit: 3% of account → Stop trading for the day
- Weekly loss limit: 6% → Reduce size by 50% next week
- Monthly loss limit: 10% → Full review before continuing
- Account drawdown: >20% → Stop, assess, fix before continuing

### Rule 8: Scale In, Scale Out

- Enter in 2–3 tranches to average better price
- Exit in 2–3 tranches to lock profits while running winners
- Never add to a losing position ("averaging down" = dangerous)

### Rule 9: Keep a Trading Journal

- Record every trade with: entry/exit, rationale, emotion, result
- Review weekly for patterns and improvement areas

### Rule 10: Protect Capital First, Make Profits Second

- Goal #1: Survive to trade another day
- Goal #2: Consistent small gains compound to large gains

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## 6. Position Sizing Formulas

### Method 1: Fixed Percentage Risk (Most Common)

Position Size = (Account × Risk%) ÷ |Entry − Stop|

Example: Account = $100,000 Risk% = 1% → $1,000 risk Entry = $50.00, Stop = $48.00 → $2.00 risk/share Position Size = $1,000 ÷ $2.00 = 500 shares Position Value = 500 × $50 = $25,000 (25% of account)

### Method 2: Kelly Criterion

f* = (bp − q) ÷ b

Where: b = average win / average loss ratio p = probability of win (win rate) q = 1 − p (probability of loss)

Example: Win Rate = 55%, Avg Win = $300, Avg Loss = $150 b = 300/150 = 2.0 f* = (2.0 × 0.55 − 0.45) ÷ 2.0 = (1.10 − 0.45) ÷ 2.0 = 0.325 = 32.5%

⚠️ Full Kelly is too aggressive! Use Half-Kelly (16.25%) or Quarter-Kelly (8.1%)

### Method 3: ATR-Based Position Sizing

Position Size = (Account × Risk%) ÷ (ATR × Multiplier)

Example: Account = $100,000, Risk% = 1% ATR(14) = $3.50 on a $75 stock Multiplier = 2× ATR for stop distance Stop Distance = 2 × $3.50 = $7.00 Position Size = $1,000 ÷ $7.00 = 142 shares

### Method 4: Volatility-Adjusted (Equal Volatility)

Position Size = Target Volatility / (Price × Daily Vol %) Target each position to contribute equal volatility to portfolio Used in risk parity and institutional portfolios

### Risk-Reward Analysis Table

| Win Rate | Min R:R Required for Breakeven |
|----------|-------------------------------|
| 30% | 2.33:1 |
| 40% | 1.50:1 |
| 50% | 1.00:1 |
| 60% | 0.67:1 |
| 70% | 0.43:1 |

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## 7. Drawdown Management

### Drawdown Calculations

Max Drawdown = (Peak Value − Trough Value) ÷ Peak Value × 100

Recovery Required from Drawdown: 10% loss → Need 11.1% gain to recover 20% loss → Need 25.0% gain to recover 30% loss → Need 42.9% gain to recover 40% loss → Need 66.7% gain to recover 50% loss → Need 100.0% gain to recover

### Drawdown Response Protocol

| Drawdown Level | Action |
|---------------|--------|
| 5% | Review recent trades, check for pattern errors |
| 10% | Reduce position size by 25%, increase selectivity |
| 15% | Reduce size by 50%, review strategy validity |
| 20% | Stop trading, full strategy audit, paper trade |
| 25%+ | Complete reset: new strategy or long break |

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## 8. Trading Psychology: 12 Cognitive Biases

### Bias 1: Confirmation Bias

- **What**: Seek information that confirms existing view
- **Example**: Only reading bullish articles on a stock you own
- **Counter**: Actively seek bearish arguments; read the bear thesis

### Bias 2: Recency Bias

- **What**: Overweight recent events, underweight long-term data
- **Example**: After 3 winning trades, expect #4 to win too
- **Counter**: Review at least 100+ trade sample; use statistics

### Bias 3: Loss Aversion

- **What**: Pain of losing 2× stronger than joy of equal gain
- **Example**: Hold losers too long, cut winners too early
- **Counter**: Pre-define exits; use trailing stops; separate emotions from trades

### Bias 4: Overconfidence Bias

- **What**: Overestimate skill, underestimate luck
- **Example**: Attribute wins to skill, losses to bad luck
- **Counter**: Track edge-adjusted returns; keep win/loss attribution log

### Bias 5: Anchoring Bias

- **What**: Over-rely on first piece of information seen
- **Example**: "Stock was at $100, now $60, must be cheap"
- **Counter**: Value from fundamentals/technicals, not reference prices

### Bias 6: Gambler's Fallacy

- **What**: Believe past events affect independent future events
- **Example**: After 5 losses, feel "due for a win"
- **Counter**: Each trade is independent; law of large numbers applies, not sequences

### Bias 7: Herding Bias

- **What**: Follow the crowd, seek social validation
- **Example**: Buying because "everyone on Twitter is bullish"
- **Counter**: Trade your own plan; use contrary indicators for positioning

### Bias 8: Status Quo Bias

- **What**: Prefer current state, resist change
- **Example**: Hold losing position hoping it "comes back"
- **Counter**: Ask "would I enter this trade fresh today?" If no → exit

### Bias 9: Disposition Effect

- **What**: Sell winners too early, hold losers too long (tax + psychology)
- **Example**: Sell at 10% profit but hold 30% losers
- **Counter**: Use trailing stops; evaluate positions on forward-looking merit only

### Bias 10: Narrative Fallacy

- **What**: Create coherent stories for random events
- **Example**: "Oil rose because traders worried about Middle East"
- **Counter**: Focus on price action and data; be skeptical of explanations

### Bias 11: Sunk Cost Fallacy

- **What**: Continue because of past investment, not future value
- **Example**: "I'm already down $5,000, I'll hold to get back to even"
- **Counter**: Sunk costs are irrelevant; decide based on future expected value

### Bias 12: FOMO (Fear of Missing Out)

- **What**: Chase trades already in motion due to fear of missing profits
- **Example**: Buying breakout 5% above your planned entry
- **Counter**: There's always another trade; define entry rules strictly

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## 9. Emotional Management Framework

### The STOP Technique (In-Trade)

S → Stop: Pause before acting impulsively T → Think: What does my system say to do? O → Observe: Am I emotional or rational right now? P → Proceed: Only act according to pre-defined rules

### Pre-Trade Checklist (Mental State)

- [] Am I well-rested? (Sleep < 6h → reduce size or don't trade)
- [] Am I emotionally neutral? (Not angry, depressed, or euphoric)
- [] Did I review my plan? (Know entry, stop, target before touching keyboard)
- [] Am I trading my system? (Not revenge trading or FOMO)
- [] Is account within normal drawdown? (Not tilting)

### States That Degrade Performance

| State | Risk | Action |
|-------|------|--------|
| Euphoric (after big win) | Oversize next trade | Reduce size 50% |
| Angry (after loss) | Revenge trade | Stop for the day |
| Tired | Slow reactions, poor judgment | Don't trade |
| Anxious | Exit too early | Reduce position size |
| Bored | Force trades | Find another activity |

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## 10. Trading Journal Template

### Trade Entry Fields

```yaml
Trade #: [Sequential number]
Date/Time: [Entry timestamp]
Instrument: [Symbol/Asset]
Direction: [Long/Short]
Setup Name: [e.g., "Bullish Engulfing at Support"]
Timeframe: [Primary chart TF]

Entry Price: $___
Stop Loss: $___     Stop Distance: $___ (___%)
Target 1: $___      R:R to T1: ___:1
Target 2: $___      R:R to T2: ___:1
Position Size: ___ shares/contracts
Dollar Risk: $___   % Account Risk: ___%

Pre-Trade Reasoning:
  Trend: [Higher TF trend direction]
  Pattern: [Technical setup identified]
  Confluence: [Supporting factors]
  Trigger: [Exact entry trigger]
  
Emotional State (1-10): ___
Conviction Level (1-10): ___

Trade Exit Fields

Exit Price: $___
Exit Date/Time: [Exit timestamp]
Hold Duration: ___
P&L: $___  (___R)

Exit Reason: [Stop/Target/Manual/Time]
Exit Rating (1-10): ___

Post-Trade Review:
  What worked: ___
  What failed: ___
  Emotional grade: ___
  Would I take this trade again? [Yes/No]
  Lesson learned: ___

Weekly Review Template

Week of: ___
Total Trades: ___
Winners: ___ (___%)  Losers: ___ (___%)

Gross P&L: $___
Avg Win: $___   Avg Loss: $___
Profit Factor: ___  (Gross Wins ÷ Gross Losses; target > 1.5)
Max Win: $___   Max Loss: $___
Max Drawdown: $___

Best Trade: ___ (Why it worked)
Worst Trade: ___ (What to change)
Main Lesson: ___
Next Week Focus: ___

11. Trader Development Framework — 5 Stages

Source: Umar Ashraf — $55M+ career earnings, TradeZella founder, 12 years experience

Pre-Journey Truths (Accept Before Starting)

1. Trading is not easy — accepting difficulty prevents surprise/frustration
2. Money is NOT the goal — chase process, money is byproduct
3. Control only what you can control — risk, trade selection, emotions, rules
4. No permanent "aha moment" — consistent process, forever adjusted
5. Psychology is overrated in early stages — if emotions are a problem at
   stage 1-2, your SIZE is too large, not your psychology
6. Trading is a marathon — rushing = boom-bust cycle

Stage 1: Novice (2-4 weeks)

Goal: Build foundation, establish process
- Pick ONE market, ONE session, ONE style (don't diversify yet)
- Paper trade first if new, then real money with minimal capital ($1-3K)
- Risk: <1% per account (0.5% better). Risk $10 on $1K account.
- Max 3 trades/day
- End trading by 11-12am ET max
- Be at desk 1 hour before market open

Process framework:
  1. Pre-market game plan (events, levels, bias, inflection points)
  2. Live trading notes (15-minute check-ins, write thoughts while trading)
  3. Post-market analysis (compare plan vs actual execution)

Education balance: Videos/books start high, screen time medium;
  over time video goes down, screen time goes up

Stage 2: Developing (2-3 months)

Goal: Build playbooks with conceptual WHY
- Build playbooks — understand WHY patterns work, not just shapes
- Example "Morning Top" playbook:
  → Gap down from previous close
  → First 5min to 1h window
  → Upside move with NO follow-through (low volume, weak tape)
  → Activity slows / selling pressure appears
  → Short at key level rejection

- Back-test extensively: 3 years, 50+ instances, document each
- Track everything in R-multiple (not dollars): Lost 1R, made 2R, etc.
- Track: stop effectiveness, drawdown speed, entry/exit timing,
  best/worst trade times, rule compliance rate
- Weekly reviews mandatory
- Goals are skill-based: "Improve R-multiple" not "make $X"

Stage 3: Intermediate / Optimization (2-6 months)

Goal: Identify and fix problems systematically
- By now: data proves your biggest problems
- Problem-solving cycle:
  Identify → Understand deeply → Create solution → Track → Fixed
- Common problems: bias blocking flexibility, cutting profits early,
  oversizing, rushing second trade after win
- Correlating factors matter: bad sleep → emotional decisions → oversizing
- Playbooks should be established and back-tested by now
- Still NOT focused on money — money starts appearing as byproduct

Stage 4: Advanced / Sizing Up (6 months - 2+ years)

Goal: Dynamic risk management, emotions at scale
THIS is where emotions actually matter (not stages 1-3)

Dynamic risk rules:
  → Size up 20-30% increments only (not 10x jumps)
  → 1-2 max increased-risk trades per MONTH (special card)
  → Stay at new risk level 2 months before next increase
  → If in drawdown: DO NOT size up
  → After a big win: size DOWN on second trade
  → Volatile/uncertain market = conservative sizing

Confidence trap:
  After wins → confidence rises → every trade looks good →
  take bad trades → lose. Reset: walk away, journal, take time off.

Stage 5: Pro / Expert

NOT permanent — oscillate between 4 and 5 while sizing up
- Max risk defined, average risk defined (e.g., max 10K, avg 5K)
- 3-5 proven setups mastered
- Repeatable process that survives market regime changes
- Key feeling: "I can do this again" — process confidence, not aha moment
- Even at stage 5, revisit stage 1 basics when market shifts
- Took Umar ~8 years to reach stage 5

R-Multiple Tracking System

All P&L tracked in R (risk units), not dollars:
  Won 2R = made 2x your risk | Lost 1R = lost your risk amount

Metrics to track:
  - Win rate per playbook
  - R-multiple distribution (are you losing > -1R?)
  - Stop loss effectiveness (hit stop then reverse?)
  - Entry timing (early/late/on time)
  - Exit timing (early/late/on target)
  - Drawdown speed and recovery speed
  - Best/worst trade hours
  - Rule compliance rate
  - Playbook-specific performance

Review cadence: Daily recaps + Weekly reviews + Monthly reviews

12. Dual Time-Frame Auction Retest System

Source: Rajan Dhall — DND Capital founder, CFTE/STA qualified, taught at London School of Economics

Framework

Anchor chart: Daily (determines bias)
Execution chart: 5-minute (takes trades)
NO intermediate timeframes — intentionally skips everything between
  Daily and 5M to avoid conflicting signals and preserve gap info

Moving Average Alignment Rule

Daily: 50 MA (macro trend) or 21 MA (day trading)
5-minute: 21 MA (intraday)

ONLY trade when BOTH timeframes show price on same side of MA:
  Above both MAs = LONGS only
  Below both MAs = SHORTS only
Both charts must show similar 45° angle structure ("look like each other")

Auction Area Concept

Derived from Market Profile theory (price discovery / value areas)
Auction area = zone of congestion where price spent most time
Yesterday's candle body provides auction context for today
Gap levels and opening price create key S/R zones

Entry Rules

1. Wait for price to retest the auction area (congestion zone) from the right side
2. Look for 2-candle break pattern at the auction retest:
   - Down candle breaks low of up candle = short signal (and vice versa)
3. Minimum 2:1 risk-to-reward on every trade
4. SL: above/below the candle structure high/low at the auction area

Trade Management

- 1 trade per day (data shows 3+ per day underperforms)
- Trade duration: 4-9 minutes average
- First hour of session only (highest volatility + best execution)
- Static risk every day (not dynamic) — compound by increasing base
  after building 20 trades of "casino money" profit
- Moving SL to breakeven at 1.75:1 is viable for candle-breaker entries
  but NOT for gap trades during high-volatility environments

The "Marta Method" Variation

Same entry as above but drops to 1-minute chart for exit:
  - Holds until 1M reversal candle pattern appears
  - Achieves 5-6:1 R:R vs standard 2:1
  - Requires more composure / micromanagement skill

Market Selection Insight

Best: Individual stocks (TSLA, AAPL, GOOG, NVDA) — $3-10 daily ranges
Good: DAX futures (50c stop, €1 target)
Avoid: FX (too efficient, two-way flow = 4 variables vs 2, spread costs kill edge)
Key: Stocks have no negative economic consequence from going up (unlike currencies)

Fractal: Same logic applies on Monthly+Daily (swing) or Weekly+Daily instead of Daily+5M

Related Skills

• Strategy Selection
• Risk And Portfolio
• Smc Beginner Pro Guide
• Market Microstructure