Book: Naked Forex: High-Probability Techniques for Trading without Indicators
Author: Alex Nekritin and Walter Peters
Difficulty: Intermediate
The Big Idea
A candle means more when you know where it formed and what decision it permits. Nekritin and Peters organize their approach around support/resistance zones, a price-action catalyst and a plan for entry, exit and risk. The later chapters put practice, personal routines and reactions to losses alongside the chart patterns.
This workbook turns those ideas into reviewable decisions. Identify the zone before the reaction. Write down what qualifies as a catalyst. Keep the signal separate from a later order trigger and an actual fill. Then assess whether the chosen exit and costs leave the trade attractive.
Read the book alongside this companion. Each lab assumes you have read the matching chapter and inspected its charts. These are original explanations, calculations, research tasks and questions, not a condensed replacement. The supplied title and copyright pages credit both authors and identify John Wiley & Sons, Inc., ©2012. The copyright page lists print ISBN 9781118114018 and the supplied EPUB’s ISBN 9781118237496. No numbered edition is stated. References use chapter numbers because EPUB pagination varies.
The authors describe price patterns as high-probability opportunities and argue strongly for trading without conventional indicators.
Selected chart examples explain a method; they do not establish a verified win rate or universal superiority. Include failures, non-triggered candidates, costs and periods that were not used to choose the rules.
If You Remember Only One Thing
Zone, catalyst, execution and risk are separate decisions. A beautiful rejection candle does not prove the zone was identifiable in advance, that an order filled at the desired price or that the stop capped the loss.
60-Second Summary
- Use zones as predeclared areas rather than lines adjusted to fit the next candle.
- Study breakout/retest, engulfing, two-touch, rejection-tail, gap-reversal and trend-continuation ideas separately.
- Distinguish the core pattern from the authors’ preferred optimizers and your own numerical definitions.
- Test with the future hidden and keep a complete candidate log.
- Exit choice changes both the average payout and the proportion of wins.
- Confidence should follow evidence and process discipline; it does not guarantee an edge.
- Plan for correlated positions, costs, adverse execution and a reason to pause or reject the method.
Contents
Quick Study Guide
| Concept | Working definition / formula | Common error |
|---|---|---|
| Currency pair | EUR/USD expresses USD per EUR; a long position gains from a relative rise before costs. | It does not buy shares in a country or require trading a second pair. |
| Zone | A bounded area selected from earlier price interactions. | Moving its boundaries after seeing the test. |
| Catalyst | A specified price event in the chosen context. | Treating every candle with a familiar shape as a valid setup. |
| Range and body | Range = high − low; body = |close − open|. | Confusing full-range engulfing with body-only engulfing. |
| Close location | (close − low)/(high − low), for nonzero range. | Using the final close while the candle is still developing. |
| Pip value | For EUR/USD in a USD account: units of EUR × 0.0001 USD per pip. Other pairs/accounts require conversion. | Treating a minimum tick or pipette as a conventional pip. |
| Position size | Risk budget divided by price risk per unit plus modeled per-unit costs. | Using margin deposit as maximum loss. |
| Expectancy | p × average net win − (1 − p) × average net loss. | Using a target instead of the observed average win, or adding costs twice. |
| Split exit | Portfolio result is the position-weighted sum of each partial exit. | Adding two half-position R multiples as if each used full size. |
| Drawdown recovery | After fractional loss d, required gain = d/(1 − d). | Assuming a 20% loss needs only a 20% gain to recover. |
| Evidence quality | Frozen rules, hidden future, complete samples, documented exclusions and separate review data. | Assuming many practice repetitions or confidence proves future profitability. |
Seven Study Blocks
Split each block across as many sittings as needed. The goal is a complete evidence trail, not a seven-day profit target. All required work can use paper calculations and historical observation; no live account or paid service is required.
| Block | Read | Produce |
|---|---|---|
| 1 | Preface and Chapters 1–3 | A quote-unit calculation, a process/outcome distinction and a hidden-future testing protocol. |
| 2 | Chapter 4 | A dated zone map with fixed boundaries and a record of independent interaction episodes. |
| 3 | Chapters 5–7 | A breakout/retest timeline, a large-candle comparison and a two-touch geometry record. |
| 4 | Chapters 8–10 | A rejection-candle measurement, a gap case and a separate trend-pause case. |
| 5 | Chapter 11 | A position-weighted exit comparison with update timing stated. |
| 6 | Chapters 12–16 | A written method, evidence-based pause criteria, process review and correlated-loss scenario. |
| 7 | Revisit the chosen catalyst; indicator fixture and capstone | Four completed worksheets and an accept/revise/defer/reject research decision. |
Complete chapter-to-lab map
| Chapter | Required reading | Assignment |
|---|---|---|
| 1 | The Fundamentals of Forex Trading | Complete Chapter 1 lab after reading the full chapter. |
| 2 | Avoiding a Trading Tragedy | Complete Chapter 2 lab after reading the full chapter. |
| 3 | Back-Testing Your System | Complete Chapter 3 lab after reading the full chapter. |
| 4 | Identifying Support and Resistance Zones | Complete Chapter 4 lab after reading the full chapter. |
| 5 | The Last Kiss | Complete Chapter 5 lab after reading the full chapter. |
| 6 | The Big Shadow | Complete Chapter 6 lab after reading the full chapter. |
| 7 | Wammies and Moolahs | Complete Chapter 7 lab after reading the full chapter. |
| 8 | Kangaroo Tails | Complete Chapter 8 lab after reading the full chapter. |
| 9 | The Big Belt | Complete Chapter 9 lab after reading the full chapter. |
| 10 | The Trendy Kangaroo | Complete Chapter 10 lab after reading the full chapter. |
| 11 | Exiting the Trade | Complete Chapter 11 lab after reading the full chapter. |
| 12 | The Forex Cycle | Complete Chapter 12 lab after reading the full chapter. |
| 13 | Creating Your Trading System | Complete Chapter 13 lab after reading the full chapter. |
| 14 | Becoming an Expert | Complete Chapter 14 lab after reading the full chapter. |
| 15 | Gaining Confidence | Complete Chapter 15 lab after reading the full chapter. |
| 16 | Managing Risk | Complete Chapter 16 lab after reading the full chapter. |
Chapters 1–4: Establish the Evidence Before the Pattern
Chapter 1 lab — Understand the instrument
Read first: Chapter 1, including its examples and closing rules. Objective: Separate currency exposure, quote units and dealer structure.
The opening chapter introduces currencies, participants and naked trading. Some of its analogies and broad dealer claims need qualification. A currency trade is relative exposure to two currencies, not country equity ownership. Dealer pricing, hedging and contractual arrangements must be checked rather than inferred from a chart or a universal winner/loser-bucket story.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Fictional position | Long 20,000 EUR/USD at 1.0800 | Assumed USD account; notional $21,600. |
| Later exit | 1.0830 − 1.0800 = 0.0030 | 30 conventional pips for this pair. |
| Gross P/L | 20,000 × 0.0030 = $60 | Before spread, commission, financing and execution differences. |
Workbook task: Write the base currency, quote currency, account currency and pip convention for two fictional positions.
Practice before opening the answers
- Does buying EUR/USD also require selling a second currency pair?
- Does a large worldwide turnover statistic establish a retail trader’s execution quality?
Show explained answers
- No. The position buys EUR relative to USD; the book’s references to buying one pair and selling another are imprecise.
- No. The relevant dealer, product, prices, liquidity and terms still matter. The book’s turnover figures are historical.
Chapter 2 lab — Separate outcome from decision quality
Read first: Chapter 2, including its examples and closing rules. Objective: Build a useful feedback record without assuming every loss is personal failure.
The authors contrast indicator-focused trading with direct price interpretation and introduce Market Biofeedback: both market behavior and the trader’s reaction. Our extension separates a rule-compliant loss from an execution error and from weak method evidence. Removing indicators does not remove uncertainty or prevent severe drawdowns.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Case A | All rules followed; −1R result | An outcome, not automatic evidence of a mistake. |
| Case B | Stop widened against the written policy; +0.5R result | A profitable outcome can still conceal a process failure. |
| Review | Track outcome and adherence separately | Do not reward a broken rule because this time it worked. |
Workbook task: Create a before/during/after note for one paper candidate. Describe observable facts separately from emotions and explanations.
Practice before opening the answers
- Does a raw-price setup necessarily signal earlier or better than every indicator?
- Should every losing streak be blamed on the trader?
Show explained answers
- No. The definitions and required confirmations determine timing. Selected examples do not establish a universal ranking.
- No. Sampling variation, absent edge, changing conditions, costs, technology and execution are all testable possibilities.
Chapter 3 lab — Design a test that can fail
Read first: Chapter 3, including its examples and closing rules. Objective: Distinguish practice, estimation and independent validation.
The chapter recommends extensive manual testing and discusses automated testing, hindsight and overfitting. Practice can improve familiarity and reveal fit, but it cannot reveal the precise probability of the next trade. Manual and automated methods both need controlled assumptions; neither is automatically honest or representative.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Development sample | 40 paper trades: 24 wins | 60% observed frequency, with considerable uncertainty. |
| Unchanged review sample | 20 paper trades: 8 wins | 40% observed frequency; investigate rather than deleting it. |
| Interpretation | Different samples, same frozen rules | No guaranteed true win rate follows from either small sample. |
Workbook task: Choose a chronological development/review split, freeze definitions and log all eligible candidates. Treat accidentally revealed future bars as contaminated observations.
Practice before opening the answers
- Does making 10,000 practice decisions guarantee expertise or profit?
- Can a demo or replay fill be reported as a live execution?
Show explained answers
- No. Feedback quality, data, method validity and independence matter; repetition is not a performance guarantee.
- No. Label the environment and its spread, slippage, timing and liquidity assumptions.
Chapter 4 lab — Freeze the zone
Read first: Chapter 4, including its examples and closing rules. Objective: Make an area and its history reproducible.
The authors favor important areas, higher-timeframe perspective and line charts to simplify zone selection. Their views about old zones and repeated touches are hypotheses to evaluate. A wider zone will catch more apparent touches, so boundaries and touch counting must be fixed before the next test.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Fictional zone | 1.0950–1.0970, identified at time T | Twenty-pip width on EUR/USD. |
| Next test | Low 1.0960; close 1.0980 | Intersects the zone, then closes above its upper edge. |
| Counting rule | Three consecutive candles in the zone count as one visit in our study | An original episode definition; do not call them three independent confirmations. |
Workbook task: Draw no more than three major zones using only the left-hand history. Record dates, boundaries and why a rejected candidate zone was excluded.
Practice before opening the answers
- Can the zone be moved lower after price overshoots it?
- Does an old zone always become more reliable with age?
Show explained answers
- Only as a new dated hypothesis. Do not rewrite the original test to make it appear successful.
- No universal relationship is established. Compare old/new zones under a predeclared definition and include failures.
Chapters 5–10: Study Each Catalyst as a Different Hypothesis
Chapter 5 lab — Breakout, retest and confirmation
Read first: Chapter 5, including its examples and closing rules. Objective: Record the event order instead of buying the first break.
The Last Kiss waits for a consolidation breakout and a later retouch with a directional candle, rather than treating the first move outside the box as the whole setup. The source describes a box-midpoint emergency stop and a separate exit on a close back inside after entry. Its printed subtraction example has a sign/unit inconsistency; the midpoint is simply (lower + upper)/2.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Original fictional box | Lower 1.1000; upper 1.1060 | Width 60 pips; midpoint 1.1030. |
| Sequence | Close above 1.1060, then a later bullish retest | A sequence, not two labels assigned to one convenient future candle. |
| Paper reference | Retest high 1.1070; buffered entry 1.1072; midpoint stop 1.1030 | 42 pips planned distance before costs. A close-back-inside exit has different timing and risk. |
Workbook task: Write separate expiry rules for waiting for the retest and waiting for the entry trigger. Include a breakout that never retests.
Practice before opening the answers
- Is the midpoint found by adding a pip count directly to a price?
- Does retesting eliminate false breakouts?
Show explained answers
- No. Convert the units, or use (1.1000+1.1060)/2=1.1030.
- No. It filters candidates and changes the entry distribution. A confirmed retest can still fail.
Chapter 6 lab — Measure the large candle
Read first: Chapter 6, including its examples and closing rules. Objective: Distinguish full-range engulfing from an arbitrary big body.
The Big Shadow is a two-candle reversal context with the second candle’s high above and low below the first, a close near the relevant end, and a zone. The text discusses both a five-candle range comparison and a stricter ten-candle optimizer. Record which version you study; do not silently combine or alternate them.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Prior fictional range | High 1.2050; low 1.2010 | 40 pips. |
| Current range | High 1.2060; low 1.1990; close 1.2055 | 70 pips and full-range engulfing. |
| Close location | (1.2055−1.1990)/(1.2060−1.1990)=92.86% | Near the high under an original ≥85% research threshold; not a numerical book rule. |
Workbook task: Build two labeled samples: range exceeds previous five versus previous ten. Freeze the zone and definition of near the extreme.
Practice before opening the answers
- Is body-only engulfing sufficient to satisfy the stated high/low rule?
- Where should a bullish protective stop reference go under the source rule?
Show explained answers
- No. Compare full high-low ranges.
- Below the bullish candle’s low. An inconsistent bullish figure caption should not override the main text and final rule list.
Chapter 7 lab — Compare the two touches
Read first: Chapter 7, including its examples and closing rules. Objective: Measure geometry and spacing without waiting for a successful trend.
Wammies and Moolahs are special two-touch patterns: a higher second low for the bullish case and a lower second high for the bearish case, separated by a move away. The book asks for at least six candles between touches and uses the first extreme for the protective stop. A future trend is the hoped-for outcome, not something already known at the second touch.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Fictional first/second lows | 1.0800 at bar 10; 1.0810 at bar 18 | Second low is 10 pips higher. |
| Strict intervening count | 18 − 10 − 1 = 7 candles | Our explicit meaning of between; the two touch bars are excluded. |
| Paper levels | Entry reference 1.0832; stop 1.0798 | 34 pips risk, which differs from a stop beneath only the second low. |
Workbook task: Create a mirrored bearish case and one rejected case with an equal or lower second low. State what makes the departure between touches meaningful.
Practice before opening the answers
- If the touch bars are 10 and 16, are there six candles strictly between?
- Does the first-extreme stop guarantee survival of later retests?
Show explained answers
- No. There are five. State your counting convention rather than switching it after a result.
- No. It changes the reference distance and size; later prices can still cross it, and fills can be worse.
Chapter 8 lab — Measure a rejection tail
Read first: Chapter 8, including its examples and closing rules. Objective: Separate candle geometry from the zone and entry policy.
The Kangaroo Tail chapter places bullish open/close in the top third and bearish open/close in the bottom third, with both inside the previous candle’s range. Long tails, relative range and space to the left provide additional context. Its suggested stop beyond the tail is a planned level, not a guaranteed maximum loss.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Fictional candle | Open 1.1020; high 1.1030; low 1.0970; close 1.1025 | Range 60 pips; body 5 pips; lower wick 50 pips. |
| Top third | Begins at 1.1010 | Open and close both qualify geometrically. |
| Prior range | 1.1015–1.1040 | Both open and close are contained. Zone and left-side context must still be checked. |
Workbook task: Measure one accepted-looking candle and one near miss. Record why each passes or fails before revealing the next bar.
Practice before opening the answers
- Does a long wick alone make a valid source setup?
- Is exiting at 75% of the planned stop distance a guaranteed smaller loss?
Show explained answers
- No. Location, open/close placement, prior range and surrounding context matter.
- No. That is a management convention requiring observation, trigger definition and execution. Costs and gaps remain.
Chapter 9 lab — A gap changes both signal and execution
Read first: Chapter 9, including its examples and closing rules. Objective: Distinguish an opening discontinuity from a long candle.
The Big Belt concerns a gap-like opening relative to the previous close followed by a strong reversal close at a zone. The source emphasizes daily charts around the weekly reopening. Session boundaries and short Sunday candles vary by feed; do not label a belt using one feed and assume another dealer’s executable price path was identical.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Fictional Friday close | 1.2500 | A price observation, not a guaranteed reopening quote. |
| Next daily candle | Open 1.2540; high 1.2545; low 1.2460; close 1.2465 | Gap up, then a bearish reversal-looking daily candle. |
| Risk question | Next tradable bid/ask may differ from the drawn level | A later sell-stop reference is not filled on the completed signal candle. |
Workbook task: Create a mirrored bullish case and identify the relevant session opening. Compare two data feeds if available; otherwise mark feed dependence unresolved.
Practice before opening the answers
- Can every long bearish candle be called a bearish Big Belt?
- Does its described high historical win rate constitute a verified statistic here?
Show explained answers
- No. The opening gap/relative-open condition and zone context distinguish the pattern.
- No. The supplied chapter does not provide the complete independently verified sample required to establish it.
Chapter 10 lab — Separate trend continuation from reversal
Read first: Chapter 10, including its examples and closing rules. Objective: Define the pause before judging its tail.
The Trendy Kangaroo follows an established trend after a short pause, unlike the reversal tail at an isolated extreme. The source describes roughly 3–10 pause candles and allows a local minor zone rather than requiring every candidate to sit on a major zone. Several bullish list items have directional slips; the consistent bullish reading is a lower tail, a buy-stop reference above the high and invalidation below the low.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Original trend description | Higher swing highs and lows on the chosen chart | A written classification made before the pause ends. |
| Pause | Four candles inside 1.3000–1.3030 | An invented compact resting area. |
| Bullish candidate | Low extends beneath 1.3000, body closes back near the top | Study continuation context separately from the isolated-extreme reversal sample. |
Workbook task: Write one pause definition and one deep-correction rejection criterion. Do not use the tail itself to retroactively declare the preceding trend.
Practice before opening the answers
- Should a continuation tail be rejected merely because earlier trend prices occupy its left side?
- Does an obvious-looking trend establish a future continuation probability?
Show explained answers
- Not under the same rule as an isolated reversal. The chapter explicitly changes the context to a trend pause.
- No. Freeze the trend definition and compare complete samples, including failed continuations.
Chapter 11: Exit the Position You Actually Hold
Chapter 11 lab — Compare exits on the same path
Read first: Chapter 11, including its examples and closing rules. Objective: Use position-weighted returns and causal stop updates.
The authors contrast quicker zone-based exits with exits intended to retain large trends. Compare the zone exit, split exit, ladder and three-bar approach on the same entries. Their early terminology for a modified split and later ladder discussion should not be interpreted as an extra fully specified method. A trailing level based on a just-closed candle cannot protect against movement that happened earlier within that candle.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Original fictional risk | Full position initial risk $100 = 1R | Common denominator for all partial exits. |
| Split result | Half exits +1R; half exits +3R | 0.5×1 + 0.5×3 = +2R, or $200 before costs. |
| Alternative path | Half exits +1R; remainder at entry | Total +0.5R before costs, not +1R and not risk free. |
Workbook task: Write the next-zone, split, ladder and three-bar update rules. For a protective trailing study, declare a ratchet that never widens the stop and apply new levels only after the relevant close; label this clarification as yours.
Practice before opening the answers
- Can you add 1R and 3R from two half-size exits and report 4R on the original trade?
- If one historical bar crosses both a stop and target, which occurred first?
Show explained answers
- No. Weight them by their shares of the original position.
- OHLC alone may not establish sequence. Mark it ambiguous or use justified finer data; do not assign the favorable order.
Chapters 12–16: Keep the Method and the Evidence Accountable
Chapter 12 lab — Break impulsive method switching
Read first: Chapter 12, including its examples and closing rules. Objective: Distinguish reactionary changes from justified rejection.
The Forex Cycle warns against the search–trade–blame loop. The useful response is a documented review protocol, not unconditional faith in a chosen setup. The book later acknowledges that methods may deteriorate; process discipline should leave room for that possibility.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Written protocol | Pause after a predeclared paper-loss threshold | A review trigger, not proof the method is broken. |
| Review finding A | Rules were changed repeatedly | Investigate process separately from the original method. |
| Review finding B | Rules followed, but net outcomes remain weak on untouched data | Revise, defer or reject may be warranted. |
Workbook task: Write the evidence needed for continue, revise and reject before the next losing sequence.
Practice before opening the answers
- Does sticking with a negative-edge method make it profitable?
- Is every change an example of the cycle of doom?
Show explained answers
- No. Discipline is useful only alongside a viable method and risk controls.
- No. A recorded change based on independent evidence differs from tailoring the rule to the latest loss.
Chapter 13 lab — Write the whole operating plan
Read first: Chapter 13, including its examples and closing rules. Objective: Turn preferences into explicit decisions and aggregate risk limits.
The chapter covers market specialist versus setup specialist, timeframes, risk, correlated positions, entries, exits and lifestyle. Personal fit helps execution, but belief is not evidence of positive expectancy. A sleeping-point check is subjective; also consider whether the loss is financially affordable.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Fictional simultaneous positions | Four JPY-linked paper trades at 0.4% planned risk each | 1.6% nominal combined planned stop risk on a fixed equity base. |
| Shared driver | All positions lose when JPY strengthens | Different pair labels do not remove common-currency exposure. |
| Review budget | 2% period limit assumed for this exercise | Only 0.4% nominal room remains, before gaps, costs or changed positions. |
Workbook task: Complete Worksheet 2. Specify what cancels an untriggered order, when a zone expires, how many attempts are allowed and how risk is monitored across pairs.
Practice before opening the answers
- Is the stated period loss limit the same as a guaranteed maximum drawdown?
- Can an account always hold separate long and short positions in the same pair?
Show explained answers
- No. It is an operational constraint; open risk, gaps, execution and valuation timing can exceed a simple total.
- No. Netting, hedging and order restrictions depend on product, platform and jurisdiction. Check actual terms.
Chapter 14 lab — Practice with measurable feedback
Read first: Chapter 14, including its examples and closing rules. Objective: Replace outcome quotas with research milestones.
The authors propose staged testing and emphasize specialization. They also propose tripling test, demo and small accounts before progressing. We do not adopt account tripling as a learning requirement: it can reward risk-taking, lucky samples or repeated optimization. Our milestones measure reproducibility and honest uncertainty instead.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Original practice set | Twenty hidden-future candidate charts | Record a zone and classification before each reveal. |
| Repeat review | Agreement on 17 of 20 classifications | 85% self-consistency, not an 85% trade win rate. |
| Milestone | Explain all three disagreements | Improve definitions while preserving a separate untouched review set. |
Workbook task: Design a short recurring practice block with a fixed sample, an error log and a reassessment date. No account funding is required.
Practice before opening the answers
- Does boredom prove a trader is profitable?
- Does a staged testing plan guarantee readiness for live trading?
Show explained answers
- No. It is a subjective experience, not an audited result.
- No. Costs, execution, data quality, risk capacity and stability still need assessment; simulation is not live performance.
Chapter 15 lab — Calibrate confidence
Read first: Chapter 15, including its examples and closing rules. Objective: Use uncertainty and diagnostic checks rather than reassurance alone.
The confidence chapter usefully distinguishes confidence in the method from confidence in execution. Its claim that losses are only bad luck conflicts with its acknowledgment of changing performance and other real causes. A historical win rate is an estimate, not the exact chance of the next trade, and trade outcomes need not be independent.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Hypothetical stationary model | Win probability assumed 55%; loss probability 45% | An assumption for arithmetic only. |
| Five losses from one specified start | 0.45^5 ≈ 1.85% | Not the chance of at least one five-loss run somewhere in a long sample. |
| Observed review | A changing cost structure or repeated execution error | A testable alternative to the unlucky-streak explanation. |
Workbook task: Create three diagnostic columns: model evidence, adherence evidence and execution/data evidence. State what would lower your confidence appropriately.
Practice before opening the answers
- Can a cleanly executed losing trade be valid under the protocol?
- Should an accountability partner receive passwords or control the account?
Show explained answers
- Yes. Compliance and outcome differ; then evaluate the distribution over a sufficient sample.
- No such access is required for this workbook. A redacted paper log can support accountability without sharing credentials.
Chapter 16 lab — Stress the loss and the recovery
Read first: Chapter 16, including its examples and closing rules. Objective: Connect size, costs, correlated losses and required recovery.
The authors connect risk-taking and behavior, warn against income pressure and describe a 20% allowance above planned stop loss. An allowance can be a modeling cushion; it is not an upper bound. Their income example’s claim of more than a 30% loss after three $3,000 losses from $35,000 is arithmetically inconsistent under fixed sizing: it is 25.71%.
Original worked example — fictional figures
| Step or observation | Calculation / evidence | Meaning |
|---|---|---|
| Original fictional budget | $15,000 × 0.5% = $75 | Our teaching risk budget, not a personal recommendation. |
| Size with allowance | 30 pip reference distance × 1.2 = 36 pip equivalent; $75/(36×$0.0001)≈20,833 EUR | EUR/USD, USD account; round down to permitted increments. |
| Drawdown recovery | 20% loss needs 0.20/0.80 = 25% gain | Risk limits do not make every recovery achievable. |
Workbook task: Compute a five-loss scenario using current-equity sizing and fixed-dollar sizing separately. Add one gap scenario that exceeds the modeled allowance.
Practice before opening the answers
- Does positive self-belief establish that a method has an edge?
- Is increasing size to meet a monthly income target a risk method?
Show explained answers
- No. Beliefs can affect behavior but do not establish positive net expectancy or determine wealth.
- No. Start with loss capacity and evidence; a desired income does not control the market’s opportunities or returns.
Claims, Contradictions and Clarifications
These selected notes identify issues that affect study or execution. They are our analysis, not additional rules attributed to the authors.
| Issue in the reading | Use this interpretation |
|---|---|
| Price-action superiority and severe drawdown claims | A simpler chart can aid attention, but selected examples do not prove superior returns, earlier signals in all cases or protection against large drawdowns. |
| Profitable-account percentages imply who practiced | A period-specific profitability proportion does not identify who practiced, prove causation or establish lifetime success. Do not repeat the book’s percentages as current facts. |
| Last Kiss subtraction and units | Width = upper boundary − lower boundary. Midpoint = (upper + lower)/2. A price and a pip count are different units. |
| Big Shadow five versus ten prior candles | Treat the five-candle comparison and ten-candle optimizer as distinct test variants. The bullish stop belongs beneath the low despite an inconsistent figure caption. |
| Wammie/Moolah between-count and target flexibility | State whether touch bars are excluded from spacing. The narrative sometimes selects a farther target when the nearest zone offers limited reward; freeze that selection policy before the outcome. |
| Trendy Kangaroo directional slips | The bullish narrative supports continuation upward, a buy-stop reference above the high and stop below the low. Several list/caption phrases reverse or mix these directions; do not implement those slips literally. |
| Emergency stop or breakeven described as a guarantee | Stops and entry-level exits do not guarantee fills, cap all losses or remove costs and counterparty risk. |
| Partial-exit profits expressed in pips | Weight partial outcomes by position size and consistent pip values. Do not sum them as if each were the full original position. |
| Three-bar trailing timing | New levels are available after a candle closes. A protective study should specify no stop widening, buffer, update timing and what happens if the existing stop was touched earlier. |
| All trades are independent; losses only reflect bad luck | Shared currencies, regimes, execution and overlapping horizons create dependence. Diagnose method, market, cost, technology and adherence explanations using evidence. |
| Belief and personal worth determine wealth | Treat attitudes as possible behavioral influences, not proof that wealth or trading outcomes reveal personal worth. A sound mindset cannot replace positive net expectancy. |
| Three fixed $3,000 losses from $35,000 exceed 30% | They total $9,000/$35,000 = 25.71% before other items. Current-equity percentage sizing is another calculation entirely. |
Four Reusable Worksheets
Copy these into a notebook or spreadsheet. They are templates, not forms that save data on the page. Use fictional or redacted paper examples.
1 — Zone and Observation Log
| Field | Record | Why it matters |
|---|---|---|
| Identity | Pair, feed, product, timeframe, time zone, session boundary and timestamp. | Candles and gaps can differ by feed. |
| Zone provenance | Lower/upper boundaries, historical interactions and time first identified. | Prevents drawing the zone around a later winner. |
| Counting convention | Distinct visits, intervening bars and permitted boundary overlap. | Consecutive candles are not automatically independent touches. |
| Catalyst | Pattern geometry, context, optimizers and exact close time. | A candidate becomes known at a particular time. |
| Outcome observation | Later price path, no-trigger case, failure and ambiguity. | A favorable excursion is not an earned return. |
| Personal response | Brief facts-versus-feelings note before and after. | A losing result and a process error are different. |
2 — Ten-Field Setup and Paper Trade Card
| Field | Define before advancing the chart |
|---|---|
| 1. Market | Pair/product, session, timeframe and permitted paper-only activity. |
| 2. Zone | Boundaries, provenance and date it became known. |
| 3. Regime | Reversal, breakout/retest or trend-continuation context. |
| 4. Catalyst | Exact candle geometry; source rule versus your numerical threshold. |
| 5. Entry | Order type, buffered reference, earliest submission time and no-fill convention. |
| 6. Invalidation | Pre-entry cancellation, protective reference and any early-exit rule. |
| 7. Size | Dollar budget, pip/tick size, conversion, costs and margin check. |
| 8. Management | Target choice, partial weights and trailing update timing. |
| 9. State | Expiry, maximum attempts, overlapping candidates and replacement policy. |
| 10. Review | Evidence to retain, ambiguity handling and the condition for pausing the method. |
3 — Research Comparison Sheet
| Field | Record |
|---|---|
| Question | One change: e.g. close in outer third versus outer fifth, holding other rules fixed. |
| Baseline | Zone selection, candle geometry, reference lifetime and sampling rules. |
| Data split | Chronological development sample and separate untouched review period. |
| Execution scope | Price observation or an explicit paper-execution model; never confuse them. |
| Complete counts | All candidates, rejections, nontriggers, exclusions and incomplete horizons. |
| Measurements | Forward changes, adverse excursions, costs if modeled, clustering and uncertainty. |
| Robustness | One nearby parameter or different period; report all variants tried. |
| Decision | Continue, revise, defer or reject, with evidence that would change the decision. |
4 — Risk and Weekly Review
| Field | Record |
|---|---|
| Equity convention | Current equity versus fixed starting equity; realized and open losses distinguished. |
| Aggregate exposure | Nominal stop risk, common-currency drivers, gap scenario and available liquidity. |
| Process score | Rules followed, missed candidates, changed stops and undocumented overrides. |
| Outcome score | Net results only where fills/costs are known or explicitly modeled. |
| Loss diagnosis | Sampling variation, method deterioration, data issue, execution or rule noncompliance. |
| Pause plan | Threshold, review sample, required corrections and conditions to resume paper research. |
| Behavior | Fatigue, discomfort and urges to increase size; action taken without treating feelings as a probability estimate. |
Pine Indicator: Zone Rejection Study
The book trades without conventional technical indicators. The code below is an original annotation tool for research, not a claim that the authors use Pine or that their discretionary approach has been fully automated. It studies selected Chapter 8 geometry around one user-defined zone.
Use standard price bars or candles, preferably the daily or four-hour interval for the initial study. Set positive lower/upper zone boundaries, then set the date from which the zone was actually identifiable and the final date through which it is valid. Default boundaries are zero, so no candidates appear until a valid zone is supplied. A historical zone entered after seeing the outcome does not become valid evidence simply because the software can draw it.
What This Indicator Shows
Gray boundaries show the user zone during its declared active interval. A confirmed bullish candidate must overlap that zone and close above it; a bearish one must overlap and close below. The open and close must fall in the appropriate outer third of the candle and inside the previous candle’s range.
Our additional definitions require a rejection wick at least twice the body by default, with a one-tick minimum body denominator for dojis; a fresh low/high relative to seven prior bars; and, by default, a range larger than the prior ten ranges. These are explicit research choices. The extreme test is a shortcut for left-side separation, not the authors’ full visual assessment of “room to the left.” The code does not discover important zones.
On an accepted candidate’s close, teal and orange lines freeze an entry reference beyond the signal extreme and an invalidation reference beyond the opposite extreme. The buffer is in minimum ticks, not pips. A two-tick buffer on a five-decimal EUR/USD feed can be only 0.2 conventional pip; choose it deliberately. These are visual levels, never orders or verified executions.
State, expiry and replacement
- Accept one confirmed candidate only while no reference pair is active.
- Keep its original reference levels unchanged; new candidates cannot overwrite them.
- Retire the pair if its invalidation reference is touched, the zone becomes inactive or its age exceeds the chosen lifetime.
- The default lifetime includes the candidate bar and the next three bars. The pair retires at the close of bar four after the candidate; no new pair is accepted on that retirement bar.
- A later eligible candle can create a fresh pair. Touching the entry reference does not change state because this tool does not model entry or position management.
Markers and state changes require a completed chart bar. There is no higher-timeframe request, future pivot or backdated marker. A zone starts on bars whose opening time is at or after the selected start, and remains active only if their closing time is at or before the selected end. Reference lines can remain displayed during a developing bar until retirement is confirmed at its close; this does not imply a protective order was active.
What This Indicator Does Not Show
It does not implement all six catalyst families, certify the quality of the manually selected zone, infer institutional orders or reconstruct bid/ask execution from OHLC. It does not produce account returns, fills, position sizes or tested profitability. If a future bar touches both reference levels, the price sequence may be unknown; retirement is not a trade-loss statistic.
Validation status
Candle geometry, reference-state behavior, independent arithmetic and the HTML-to-raw-code round-trip were checked. The script has not been compiled in TradingView or chart-tested. No historical performance, successful live alerts or execution results are claimed. Compile and compare with the fixture below before using the display. The code is collapsed and can be selected and copied manually.
View Pine Script Indicator Code
//@version=6
indicator("CandleChasers Zone Rejection Study", shorttitle="CC Zone Rejection", overlay=true)
if not chart.is_standard
runtime.error("Use standard price bars or candles, not a synthetic chart.")
zoneLow = input.price(0.0, "Zone lower boundary")
zoneHigh = input.price(0.0, "Zone upper boundary")
activeFrom = input.time(timestamp("01 Jan 2026 00:00 +0000"), "Zone known from (bar opening time)")
activeUntil = input.time(timestamp("01 Jan 2099 00:00 +0000"), "Zone valid until (bar closing time)")
tailMultiple = input.float(2.0, "Minimum tail / body ratio (our definition)", minval=1.0, step=0.25)
roomBars = input.int(7, "Prior bars for extreme proxy", minval=2, maxval=100)
largeRange = input.bool(true, "Require range larger than prior 10 ranges")
bufferTicks = input.int(2, "Reference buffer (minimum ticks, NOT pips)", minval=1)
life = input.int(3, "Reference lifetime after candidate (bars)", minval=1, maxval=30)
zoneValid = zoneLow > 0 and zoneHigh >= zoneLow and activeUntil > activeFrom
active = zoneValid and time >= activeFrom and time_close <= activeUntil
r = high - low
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
previousLow = ta.lowest(low[1], roomBars)
previousHigh = ta.highest(high[1], roomBars)
previousMaxRange = ta.highest((high - low)[1], 10)
ready = bar_index >= math.max(roomBars, 10) and r > 0
insidePrevious = open >= low[1] and open <= high[1] and close >= low[1] and close <= high[1]
largeEnough = not largeRange or r > previousMaxRange
zoneOverlap = low <= zoneHigh and high >= zoneLow
bullGeometry = ready and insidePrevious and largeEnough and math.min(open, close) >= low + 2.0 * r / 3.0 and lowerWick >= tailMultiple * math.max(body, syminfo.mintick) and low < previousLow
bearGeometry = ready and insidePrevious and largeEnough and math.max(open, close) <= low + r / 3.0 and upperWick >= tailMultiple * math.max(body, syminfo.mintick) and high > previousHigh
bullCandidate = active and zoneOverlap and close > zoneHigh and bullGeometry
bearCandidate = active and zoneOverlap and close < zoneLow and bearGeometry
var int side = 0
var int born = na
var float entryRef = na
var float stopRef = na
bool bullEvent = false
bool bearEvent = false
bool retiredEvent = false
if barstate.isconfirmed
if side != 0
tooOld = bar_index - born > life
invalidated = side == 1 ? low <= stopRef : high >= stopRef
if not active or tooOld or invalidated
side := 0
born := na
entryRef := na
stopRef := na
retiredEvent := true
if side == 0 and not retiredEvent
if bullCandidate
side := 1
born := bar_index
entryRef := high + bufferTicks * syminfo.mintick
stopRef := low - bufferTicks * syminfo.mintick
bullEvent := true
else if bearCandidate
side := -1
born := bar_index
entryRef := low - bufferTicks * syminfo.mintick
stopRef := high + bufferTicks * syminfo.mintick
bearEvent := true
zoneA = plot(active ? zoneLow : na, "User zone lower", color=color.gray, style=plot.style_linebr)
zoneB = plot(active ? zoneHigh : na, "User zone upper", color=color.gray, style=plot.style_linebr)
fill(zoneA, zoneB, color=color.new(color.gray, 90), title="User-defined zone")
plot(active ? entryRef : na, "Frozen entry reference only", color=color.teal, linewidth=2, style=plot.style_linebr)
plot(active ? stopRef : na, "Frozen invalidation reference only", color=color.orange, linewidth=2, style=plot.style_linebr)
plotshape(bullEvent, title="Confirmed bullish study candidate", style=shape.triangleup, location=location.belowbar, color=color.teal, text="Study", size=size.tiny)
plotshape(bearEvent, title="Confirmed bearish study candidate", style=shape.triangledown, location=location.abovebar, color=color.red, text="Study", size=size.tiny)
plotshape(retiredEvent, title="References retired", style=shape.xcross, location=location.top, color=color.gray, size=size.tiny)
var table status = table.new(position.top_right, 1, 1)
if barstate.islast
table.cell(status, 0, 0, not zoneValid ? "Set valid zone boundaries and dates" : "Study candidates and references; no fills", text_color=color.white, bgcolor=color.new(color.teal, 20), text_size=size.small)
alertcondition(bullEvent, "Bullish zone study candidate", "Confirmed bullish zone-rejection study candidate on {{ticker}} {{interval}}. Not an execution.")
alertcondition(bearEvent, "Bearish zone study candidate", "Confirmed bearish zone-rejection study candidate on {{ticker}} {{interval}}. Not an execution.")
Hand-check the geometry and reference state
Use the fictional Chapter 8 candle: O=1.1020, H=1.1030, L=1.0970, C=1.1025; previous candle range 1.1015–1.1040. Assume a zone of 1.0980–1.1000 that was identified earlier, all seven previous lows above 1.0970, and all ten previous ranges below 0.0060. The 50-pip lower wick exceeds twice the five-pip body, and both open/close lie in the top third and previous range. These assumptions allow a bullish study candidate.
| Step | Assumption | Expected annotation |
|---|---|---|
| Candidate bar | Minimum tick 0.00001; buffer two ticks | Entry reference 1.10302; invalidation reference 1.09698. |
| Next bar | New qualifying candle appears while original references remain active | Ignore it for reference replacement. |
| Age three | No invalidation; zone still active | Original references remain valid through the configured lifetime. |
| Age four | No invalidation; zone still active | Retire at this completed bar; no replacement on the same bar. |
| Alternative age-one path | Low reaches 1.09690 | Retire for invalidation. This is not a simulated loss or a claim about which reference was touched first. |
| Alternative equality case | Current low equals the prior-seven-bar minimum | Fails our strict fresh-extreme filter. |
Research Lab: Does the zone add information?
Our hypothesis is that the defined rejection geometry near a predeclared zone has different subsequent price behavior from the same geometry away from zones. This is a question to test, not a finding. The indicator displays the zone-qualified candidates only; the geometry-only comparison needs a separate manual log using the same definitions.
- Freeze the study: one pair, feed, standard daily chart, chronological dates, geometry rules and six-bar observation horizon. Select zones using only prior data and record their activation dates.
- Separate development from review: use the first two-thirds of the interval to refine definitions; reserve the final third for an unchanged review. Preserve every trial rather than selecting the best variant silently.
- Log candidates: zone-qualified and geometry-only control observations, direction, close C, rejection reason and available timestamps. Do not count one candle in both comparison groups. Mirror the indicator’s active-reference suppression for the zone sample and record excluded overlapping candidates.
- Measure observations: direction-adjusted six-bar close change = 100 × direction × (Ct+6/C − 1). Worst adverse excursion over the next six bars is 100 × (minimum low/C − 1) for long candidates or 100 × (1 − maximum high/C) for short candidates. Exclude the candidate bar. These are price changes, not earned account returns.
- Limit overlap: keep the first accepted observation in each group, then skip the following six bars. Exclude incomplete horizons and record why. Keep long and short results separate initially.
- Compare: report counts, medians, ranges, adverse excursions, month-by-month clustering and differences between development and review periods. A small or unstable difference weakens the hypothesis.
- One robustness check: repeat with a five-bar versus seven-bar extreme proxy while preserving the other rules. Do not label the better-looking variant independently validated without new data.
No historical market-data experiment was run for this workbook. Even a descriptive difference would not establish a tradable advantage without executable prices, costs, financing, an exit policy, size, and sensitivity to market selection. OHLC data cannot supply unavailable depth or institutional intentions.
Capstone: Build a Reviewable Price-Action Study
Choose one catalyst chapter rather than combining all the patterns. Your result may be a decision to reject or defer the method. Use paper data and fictional capital assumptions.
- Map the zone: boundaries, evidence available before the test, activation date and counting convention.
- Specify the catalyst: source conditions, optimizers and every numerical choice added by you.
- Build the timeline: signal close, earliest order submission, entry/no-fill convention, pre-entry invalidation and expiry.
- Calculate risk: quote units, pip/tick value, account conversion, planned loss, allowance and one scenario exceeding it.
- Compare exits: apply one zone-based policy and one trailing or split policy to the same observations; use position weights and causal update timing.
- Review: retain a failed candidate, a non-triggered candidate, an ambiguous bar and a rule-compliant loss if modeling outcomes. Separate adherence from net performance.
- Conclude: continue paper research, revise, defer or reject. State the evidence that would change your decision.
| Criterion | Points | Full-credit evidence |
|---|---|---|
| Source fidelity | 0–4 | Correct catalyst/context; source rules versus original choices clearly labeled. |
| Information timing | 0–4 | Zone identified earlier; no unfinished close, future pivot or retrospective fill. |
| Risk arithmetic | 0–4 | Correct units, size, partial weights, costs and correlated-loss scenario. |
| Reproducibility | 0–4 | Complete setup card, consistent counts, expiry and explicit ambiguity handling. |
| Interpretation | 0–4 | No invented win rate, guarantees or causal claim from a small selected sample. |
Completion criteria: finish all sixteen chapter labs, the four worksheets, the manual indicator fixture and the capstone. Aim for 16/20 or higher with no criterion below 2. Any unresolved lookahead, quote-unit or unsupported-fill error requires revision regardless of score. This is an educational self-check, not a qualification or evidence that a method will make money.
Show an example capstone conclusion
“My candle geometry is reproducible, but two reviewers draw different zone widths, and several apparent winners depend on favorable same-bar sequencing. I will defer performance conclusions, improve the zone protocol on development data, and preserve a new untouched review period. A paper loss under the rules is not a personal failure; it is part of the evidence.”
Verification Resources
Use original documents to check technical behavior and product risks. They do not validate the authors’ performance claims. The book’s external tutorials and software offers are historical pointers; they are not required for these exercises and current availability was not verified.
| Resource | What it helps verify |
|---|---|
| Wiley: Naked Forex | Title, both contributors and publisher bibliographic context. |
| CFTC: things to know before trading forex | Dealer relationships, costs, leverage, due diligence and potential losses beyond a deposit. U.S. context; local rules differ. |
| TradingView: repainting (paid link) | Developing OHLC values and why confirmed-bar conditions differ from intrabar signals. |
| TradingView: bar states (paid link) | Confirmed chart-bar timing for markers and state updates. |
Final Takeaway
A clean chart can make a decision easier to describe. It does not remove uncertainty. Keep the zone fixed, measure the catalyst, distinguish observations from executions, and let complete evidence—including failures—determine whether the method deserves further study.
Risk Disclosure
This workbook is for education and independent research, not personalized investment, financial, tax or legal advice. Forex and leveraged products can produce substantial losses, potentially beyond the deposit depending on the product and applicable protections. Gaps, spreads, commissions, financing, slippage, liquidity, dealer risk and correlated exposure affect outcomes. Stops and entry-level exits do not guarantee a maximum loss or a zero-cost result. Fictional examples omit costs unless stated and are not actual results. The indicator does not establish profitability or simulate execution. Past performance does not guarantee future results; obtain appropriately qualified advice for your circumstances.
This independent companion is not affiliated with, endorsed by, sponsored by or authorized by the authors, Wiley or other organizations mentioned.