Desk atlas of the method · 2026 edition

Crypto in the language of data: the 4 pillars of systematic trading

13 practical modules from CRYPTODATEX founder Ivan Anatolich (@Avsteam). How to pick the coin of the day in 10 minutes by correlation to BTC > 0.75, confirm the entry with ADX + MLMI + WTMO + liquidations, size the position and stop from ATR (10/20/30/40% entry) and filter trades with the Decision Score.

Since 2017in crypto and algorithmic trading
4 × first placein public options tournaments on Greeks.live
100% refundafter the 1st Traders' Forge lesson
Ivan Anatolich (@Avsteam), founder of CRYPTODATEX
Ivan Anatolich (@Avsteam), founder of CRYPTODATEX and author of the Traders' Forge system
Reviewing charts on a group call
Live format: chart reviews on calls and in the CMAVS club
01Module 01 · Data philosophy and the 4 pillars A–D

Why crypto is more transparent than traditional finance, and how the 4 pillars work

Moving from gut-feel guessing and other people's signals to a repeatable, engineered decision process.

Most retail traders come to crypto for quick multiples and rely on anonymous signal channels. Even when someone else's entry is right, you have no liquidity context, no position size derived from volatility (ATR) and no plan for when the idea is invalidated. One emotional add against the trend wipes out ten winning trades.

We look at crypto through quantitative analysis. In equities, data on large players' positions arrives weeks late (COT reports). Blockchain and crypto derivatives are open in real time: exchange volumes, Open Interest, the Funding Rate, liquidation heatmaps and coin flows between cold wallets and exchanges.

The Traders' Forge method stands on four pillars: A, the market model and liquidity hierarchy; B, the trading system and the four-confirmation stack; C, risk management from ATR and 10/20/30/40% entries; D, the decision process: checklist, Decision Score and journal. Lose any one link and trading turns back into gambling.

Ivan Anatolich (@Avsteam): "We don't sell signals, we sell a repeatable system for working with probabilities"
Fig. 1.1 — Ivan Anatolich (@Avsteam): "We don't sell signals, we sell a repeatable system for working with probabilities"
The 4-pillar architecture: market model (A), trading system (B), risk system (C), decision process (D)
Fig. 1.2 — The 4-pillar architecture: market model (A), trading system (B), risk system (C), decision process (D)
PillarKey questionTools and metricsClearance to trade
A · Market modelWhere is big money flowing right now?BTC/ETH dominance, OI, Funding, on-chain stack, correlation > 0.75A clear direction from the guide (BTC) and an asset in sync
B · Trading systemWhich asset, and where is the mathematical edge?ZigZag + ATR (10 min), EMA 12/24/48 (1H), ADX + MLMI + WTMO + liquidationsAll 4 indicators agree and the candles are clean
C · Risk systemHow much can I lose without hurting the account?Stop from ATR, risk ≤ 1% (0.5% conservative), R:R ≥ 1:2–1:3, 10/20/30/40% tranchesSize calculated before pressing the entry button
D · Decision processIs the decision free of emotion and tilt?Checklist, Decision Score, trade journal, Post-Trade ReviewDecision Score ≥ 85 (≥ 75 at reduced risk), no adding after a loss

The mindset switch: from "guess the price" to "play the series"

  1. Accept the axiom: no indicator and no analyst knows the future 100%. We trade a statistical edge over 30–50 trades.
  2. Separate analysis from execution: scenario and ATR stop first, the exchange terminal only after.
  3. No all-in entries: the position is built in a cascade of 10% → 20% → 30% → 40% as the scenario confirms.
  4. The first-lesson rule: you try the live group work with a right to a 100% refund, no questions asked.
Anatolich's insight

“Systematic trading is boring engineering work. The moment it gets "fun" or you feel the thrill, you've broken your risk rules. Our job is to make your trading as predictable as a technical procedure.”

— Ivan Anatolich (@Avsteam)
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02Module 02 · Liquidity hierarchy and correlation > 0.75

The law of capital flow (BTC → ETH → altcoins) and picking the top 10 coins

How to use Bitcoin as the market's main indicator and find assets that amplify its moves predictably.

A common mistake is trading a random altcoin with no regard for Bitcoin. Crypto has a gravity of liquidity: big money enters through BTC and spot ETFs, flows into ETH, then large caps, mid caps, and only reaches small caps in the final euphoric stage.

A coin with weak correlation to BTC strips you of your main reference, the guide. We build a worksheet of 10 liquid altcoins with a correlation to Bitcoin above 0.75. When BTC makes a clear +1% move, a well-chosen high-beta altcoin often moves +4–5% the same way.

That solves two problems at once: we read direction from BTC's heavier, less manipulated structure, and we capture the larger swing on the altcoin, where a 1:3 R:R is reached faster and more cleanly.

Reading liquidity structure and how the guide (BTC) moves in sync with first-tier altcoins
Fig. 2.1 — Reading liquidity structure and how the guide (BTC) moves in sync with first-tier altcoins
A correlation matrix (> 0.75): filtering out chaotic, illiquid tokens
Fig. 2.2 — A correlation matrix (> 0.75): filtering out chaotic, illiquid tokens
TierRole in the systemCorrelation to BTCUse
1. Bitcoin (BTC)The main guide and risk barometer1.00 (reference)Global phase, ETF flows, macro liquidity zones
2. Ethereum (ETH)Risk appetite in the second tier0.82–0.92Confirms the strength of the broad market
3. Top-10 large/mid capsThe working pool for the daily pick> 0.75 (strict filter)BTC +1% → a predictable +4–5% on a clean chart
4. Isolated small capsExcluded from intraday trading< 0.50 (noise)Risk of manipulation and stop slippage

Checking the correlation edge before the session

  1. Open BTC/USDT on 4H and 1H: identify the guide's phase, impulse, consolidation or reversion to the mean.
  2. From the correlation matrix, pick 10 liquid altcoins with a coefficient strictly above 0.75.
  3. Compare how they reacted to BTC's last hourly impulse: keep the ones moving in sync, with no lag or false spikes.
  4. Pass 3–5 candidates to the 10-minute ZigZag + ATR filter.
Anatolich's insight

“We don't need the most hyped coin of the day from the chats. We need a liquid asset that follows Bitcoin with amplification and respects volume levels.”

— Ivan Anatolich (@Avsteam)
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03Module 03 · Asset of the day in 10 minutes: ZigZag + ATR

A daily filter for volatility and clean candles

The morning routine: picking 1–2 instruments to work in 10 minutes.

Even within the BTC-correlated list, chart quality varies a lot on any given day. Some coins move in smooth waves; others draw a fence of long wicks and take out stops on both sides. A dirty chart brings a run of painful losses even when you get the direction right.

The pick rests on two objective tools. ZigZag strips out the noise and shows whether there are readable waves (Higher Highs / Higher Lows or Lower Highs / Lower Lows) with enough room for 1:2 and 1:3 R:R. ATR, the Average True Range, shows the real room to move in percent and dollars.

The second filter is candle cleanliness on 1H: the ratio of the candle body to its wicks. Systematic long wicks signal a thin order book and algorithms hunting liquidity. That coin goes into quarantine for the day.

Screening daily range (ATR) and swing structure with ZigZag
Fig. 3.1 — Screening daily range (ATR) and swing structure with ZigZag
The clean-candle filter: rejecting charts with two-sided spikes
Fig. 3.2 — The clean-candle filter: rejecting charts with two-sided spikes
ParameterToolTake itSkip it
1. Link to the guideCorrelation to BTCSteady > 0.75 on 1H/4HDecorrelated, living its own life on news
2. Wave sizeZigZag on 1HClear waves with room > 3–4 ATRSaw-tooth compression, ragged legs
3. VolatilityATREnough room for 1:3 R:R within the sessionA dead market or an extreme spike
4. Clean candles1H candle filterFull-bodied candles, predictable retestsLong spike wicks both ways

The 10-minute pick routine

  1. Minutes 1–3: the top-10 list with correlation > 0.75, sorted by normalized 1H ATR.
  2. Minutes 4–6: ZigZag, check the last 3–4 waves; the move must be structural.
  3. Minutes 7–9: audit the last 48 hours of candles and drop ragged wicks and empty spikes.
  4. Minute 10: lock in 1–2 assets of the day and move on to liquidations and EMA 12/24/48.
Anatolich's insight

“A pro isn't someone who can squeeze profit out of an awful chart. A pro is someone disciplined enough to close a dirty chart in 5 seconds and move to a clean structure.”

— Ivan Anatolich (@Avsteam)
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04Module 04 · Sessions and the macro calendar (CPI, NFP, FOMC)

The rhythm of trading sessions and protecting capital on CPI, PPI, NFP and FOMC days

When you enter matters as much as the price: syncing trades with the world's liquidity centres.

Crypto trades 24/7, but liquidity is spread unevenly. A trade opened in the dead hour between sessions or on a Saturday evening behaves very differently from the same trade at the European or New York open. Knowing the daily cycle lets you work in 2–3 predictable windows instead of watching the screen all day.

The day splits into three windows. Asia forms the initial accumulation range. Europe brings bank liquidity, false breaks of the Asian range and the start of directional movement. New York is the peak of derivatives volume, the open of US spot ETFs and the main impulse of the day.

A separate safety layer is the US macro calendar. Consumer prices (CPI), producer prices (PPI), payrolls (NFP) and Fed rate decisions (FOMC) instantly widen spreads and trigger two-sided squeezes. Strict rules apply on those days.

How intraday liquidity is spread across Asia, Europe and New York
Fig. 4.1 — How intraday liquidity is spread across Asia, Europe and New York
The macro radar: inflation (CPI/PPI), the labour market (NFP) and the Fed rate (FOMC)
Fig. 4.2 — The macro radar: inflation (CPI/PPI), the labour market (NFP) and the Fed rate (FOMC)
Window / eventLiquidityPrice behaviourSystem rule
Asian sessionModerate, building the baseConsolidation, accumulationMark the range edges, plan the day's scenarios
European sessionRising volume, London algorithmsLiquidity taken beyond the Asian range, impulseFirst working window: 10% → 20% tranches
New York sessionPeak futures, options and spot ETF volumeMaximum ATR accelerationMain window for impulse trades and taking profit
Macro days (CPI, PPI, NFP, FOMC)Turbulence, wide spreadsA whipsaw in the first 15–30 minutesNo entries before the release; trade only once structure settles

Syncing with the macro calendar

  1. Every Sunday, check the week's calendar; it is part of the CMAVS club's Sunday review.
  2. Mark in red the times of CPI, PPI, NFP, jobless claims and Fed chair speeches.
  3. No new positions in the 60 minutes before a release; on open ones, move the stop to breakeven or take partial profit.
  4. Enter 30–45 minutes after the news, once the first candle has cleared liquidations and left a clear level.
Anatolich's insight

“Trading the minute CPI or FOMC drops isn't trading. It's flipping a coin with negative expectancy because of slippage.”

— Ivan Anatolich (@Avsteam)
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05Module 05 · 5 TA groups and the EMA 12/24/48 frame

5 indicator groups instead of a zoo, and the EMA 12/24/48 frame on 1H

How to remove conflicting duplicate signals and read trend structure on the hourly chart.

A typical mistake is to load RSI, Stochastic, MACD and CCI, see three green signals and enter, without realising all four measure the same thing, momentum. Volume, volatility and liquidations stay out of view. We call it the indicator zoo.

Every tool falls into one of 5 groups: 1) overlays and structure (EMA 12/24/48, Bollinger Bands); 2) trend strength and direction (ADX, MLMI); 3) momentum and its fading (WTMO, RSI, Williams %R, CCI, Ultimate Oscillator); 4) volume and supply/demand balance (Volume Profile POC/VAH/VAL, delta, order book, MFI, CMF); 5) volatility and liquidity (ATR, RVI, ZigZag, liquidation maps).

The 1H frame is three exponential moving averages: EMA 12 (the fast momentum line), EMA 24 (the daily balance axis) and EMA 48 (the two-day trend boundary). Their order and slope instantly show a steady trend, a healthy retest or a sticky range.

5 independent functional groups instead of chaos on the screen
Fig. 5.1 — 5 independent functional groups instead of chaos on the screen
The EMA 12 / 24 / 48 ribbon on the 1H chart
Fig. 5.2 — The EMA 12 / 24 / 48 ribbon on the 1H chart
ElementMeaningRole in a trendWarning sign
Fast lineEMA 12, half-day momentumDynamic support as price acceleratesA candle closing beyond EMA 12 means slowing
Balance axisEMA 24, daily equilibriumZone for adding the 20% and 30% tranches on a pullbackEMA 12 and 24 squeezed into a flat thread
Structure boundaryEMA 48, two-day filterThe line that holds the scenarioThe 12/24 fan crosses EMA 48 with a slope change
12/24/48 fanAll three opening in syncConfirms capital flowing with the trendAll three intertwined: no trend setups

Reading the EMA ribbon on 1H

  1. A long needs strict order: price > EMA 12 > EMA 24 > EMA 48, all sloping up.
  2. Don't buy when price is stretched far from EMA 12 (the rubber band effect); wait for a pullback between EMA 12 and 24.
  3. A retest of EMA 24 / EMA 48 is the place for the 20% and 30% limit tranches.
  4. If the fan twists into a rope, switch off trend expectations and check ADX.
Anatolich's insight

“EMA 12/24/48 on the hourly is your road markings. It doesn't give you an entry signal, but it stops you driving into oncoming traffic against the order flow.”

— Ivan Anatolich (@Avsteam)
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06Module 06 · Entry core: ADX + MLMI + WTMO

Three setup confirmations: trend strength, structure and impulse timing

How to combine the presence of a trend, a phase change and the point of acceleration into one decisive rule.

The main source of losses is trend setups in a range, or counter-trend entries against a strong move. To close that blind spot, the entry goes through a triple lock, ADX + MLMI + WTMO, with liquidation zones added as the fourth element.

The first key is ADX (Average Directional Index). It doesn't show direction, but it measures whether a trend exists and how strong it is. While ADX sleeps, breakout strategies get chopped up. The second key is MLMI (Machine Learning Momentum Index): it analyses momentum patterns with machine learning and catches a shift in direction earlier than classic moving averages.

The third key is WTMO (WaveTrend Momentum Oscillator), which handles micro-timing: it shows when the pullback is spent and acceleration with the trend begins. A trade is cleared only when ADX confirms the environment, MLMI holds the direction and WTMO gives the trigger.

Working through the ADX + MLMI + WTMO stack in a practical session
Fig. 6.1 — Working through the ADX + MLMI + WTMO stack in a practical session
Filtering false entries: a trade opens only when every element agrees
Fig. 6.2 — Filtering false entries: a trade opens only when every element agrees
IndicatorAnswers the questionConfirmation conditionBlocks the mistake
1. ADXIs there a trend, and is it getting stronger?Leaving the quiet zone, rising slopeBreakout trades in a dead range
2. MLMIWhich way does the dominant structure point?Holding the signal zone in the trade's directionEarly entries against the higher trend
3. WTMOWhen does the pullback end and the impulse begin?A reversal cross after the correction unloadsBuying the top right before a pullback (FOMO)
SynthesisIs the spring ready to fire?All three agree on the working timeframeTrades on "one pretty signal"

Checking the stack step by step

  1. Environment (ADX): the market has left sticky stagnation and has trend potential.
  2. Direction (MLMI): the index confirms buyers in control for a long, or sellers for a short.
  3. Timing (WTMO): wait for the pullback to the EMA 12/24 fan and a reversal cross.
  4. Liquidity: check the fourth element, the liquidation zone map (module 07).
Anatolich's insight

“If ADX is asleep and WTMO draws a pretty signal, we sit on our hands. If MLMI points down, we don't hunt for a long just because the coin has fallen a lot.”

— Ivan Anatolich (@Avsteam)
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07Module 07 · Liquidation zones and momentum (RSI, UO, CCI)

The fourth link: liquidation maps plus RSI, Williams %R, CCI and the Ultimate Oscillator

Why price travels from one liquidity pool to the next, and how to use other traders' forced closes.

Indicators show the shape of a move, but liquidity is what moves price. A large share of retail traders use 20x, 50x and 100x leverage. Their liquidation levels and dense clusters of stop-losses form magnetic zones on the price scale.

A large player needs opposing liquidity to build or unload size without slippage, so price is drawn to where the crowd's liquidations cluster. Liquidation zones are the fourth element of the ADX + MLMI + WTMO stack: they show where the bounce starts after leveraged traders are flushed and where to put the take-profit, just before the next pool.

Momentum oscillators add detail: RSI (Relative Strength Index), Williams %R (price relative to the period's extremes), CCI (deviation from the statistical norm) and the Ultimate Oscillator (momentum over three periods, which filters out false single-window divergences).

Liquidation cascades worked through in a group session in TradingView
Fig. 7.1 — Liquidation cascades worked through in a group session in TradingView
Liquidation heatmaps combined with RSI, Williams %R, CCI and UO
Fig. 7.2 — Liquidation heatmaps combined with RSI, Williams %R, CCI and UO
ToolMeaningOn entryOn taking profit
Liquidation zonesClusters of forced closes at 5x–100xEnter after the near pool is swept and price returns to structureTake-profit before the opposite cluster
RSI and Williams %RPrice speed and overheated momentumDivergences at Volume Profile edgesPartial exit when overheated on the higher timeframe
CCIDeviation from the average channelBreakout from consolidation past ±100Take profit on a spike beyond ±200
Ultimate OscillatorPressure balance over 7/14/28Filters single RSI divergencesSignals fading demand within a wave

Working with liquidations and momentum

  1. Before a trade, mark the long and short liquidation clusters from the last 24–72 hours.
  2. Never put your stop inside an obvious crowd pool; the stop is calculated from ATR beyond the noise sweep.
  3. Look for the entry when price briefly sweeps the near pool and ADX + MLMI + WTMO + UO confirm the reversal.
  4. Place take-profit 1 and 2 just before the next large cluster of opposite liquidations.
Anatolich's insight

“The stops and liquidations of an undisciplined crowd are free fuel for our position. The rule is to be the one taking liquidity, not the one whose liquidity gets taken.”

— Ivan Anatolich (@Avsteam)
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08Module 08 · Volume Profile (POC/VAH/VAL) and RVI

Volume profile, money flow and volatility compression

Seeing the real money behind the candles: fair value zones and the spring before a breakout.

Vertical volume tells you how much traded in an hour, but not the key question: at what price did large players build their positions? For that you need the horizontal volume profile, together with money flow and volatility indicators.

Volume Profile draws a histogram of volume on the price axis and gives three coordinates: POC (Point of Control, the price with the most volume and the main magnet), and VAH and VAL (the upper and lower edges of the value area where 70% of volume traded). Holding above VAH with rising money flow (MFI and Chaikin Money Flow, CMF) opens a vacuum for a fast move to the next volume node.

Bollinger Bands, RVI (Relative Volatility Index), ATR and ZigZag track the volatility spring. When the Bollinger Bands squeeze around the POC while RVI and CMF show hidden inflows, the market is preparing a directional move out of balance.

The volume profile: the point of control (POC) and the value area edges (VAH / VAL)
Fig. 8.1 — The volume profile: the point of control (POC) and the value area edges (VAH / VAL)
Money flow (MFI, CMF) and volatility expansion (Bollinger Bands, RVI)
Fig. 8.2 — Money flow (MFI, CMF) and volatility expansion (Bollinger Bands, RVI)
ToolCoordinateMeaning in the systemTrader's action
POCThe level of maximum volumeFair price, the magnet on a return to balanceTarget for take-profit when trading from the edges
VAH / VALValue area edges (70%)Balance holds, or imbalance beginsAdd on a VAH retest from above (long) or a return below VAH (short)
Delta, order book, MFI, CMFBuy/sell balance, capital inflowIs real money following price?Filter out breakouts on empty volume
RVI and Bollinger BandsCompression and direction of expansionShift from accumulation to impulseReady for the 10/20/30/40% build on leaving the squeeze

Volume and volatility check of a setup

  1. Draw a Fixed Range Volume Profile over the current accumulation or the last impulse wave.
  2. Mark POC, VAH and VAL; never open a long straight into the resistance of an unloaded POC.
  3. Check MFI and CMF: in a true long setup, CMF is in the inflow zone.
  4. Check Bollinger Band width and RVI: volatility should support expansion in your scenario's direction.
Anatolich's insight

“Price can fool you with a sharp move through an empty order book, but the volume profile and money flow can't. That's where the real orders are printed.”

— Ivan Anatolich (@Avsteam)
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09Module 09 · Risk ≤ 1% from ATR and 10/20/30/40% entries

Sizing the position and stop from ATR, risk ≤ 1% and a four-tranche entry

The foundation of pillar C: making a losing streak safe for the account and the mind.

Accounts usually blow up not from a bad entry but from the wrong size. A trader sets a tight stop by eye to get a bigger position, the market does its normal breathing, takes the stop and flies the right way. After two such stop-outs the urge to win it back kicks in, risk doubles, and the account burns.

The system's law: the stop-loss is derived from current volatility (ATR), and the position size is derived from the stop distance. Risk per trade is no more than 1% of the account (0.5% in conservative mode or in turbulent markets). If ATR doubles, the stop in percent is twice as wide and the size is halved, so in dollars you still risk 1%, for example $50 on a $5,000 account.

The second principle is entering in four parts: 10% → 20% → 30% → 40% of the planned size. The first 10% scouts when the setup appears, 20% and 30% come in on confirmation at the value area or EMA fan, and the final 40% when the ADX + MLMI + WTMO stack confirms the impulse. Risk/reward is at least 1:2, ideally 1:3.

Sizing a trade from the distance of a volatility stop (ATR)
Fig. 9.1 — Sizing a trade from the distance of a volatility stop (ATR)
The 10% → 20% → 30% → 40% entry and protecting R:R ≥ 1:2–1:3
Fig. 9.2 — The 10% → 20% → 30% → 40% entry and protecting R:R ≥ 1:2–1:3
ParameterStandardFormula / ruleTaboo
Risk limit≤ 1.0% of the account (0.5% conservative)Risk_USD = Deposit × 0.01 (e.g. $50 of $5,000)1–2% risk on one idea, averaging beyond the limit
Size from ATRSize depends on stop widthPosition_USD = Risk_USD / (Stop_ATR_Distance / Entry_Price)A fixed size, "always $2,000"
Cascade build10% → 20% → 30% → 40%Total risk of all 4 tranches at the stop ≤ 1%100% of size in one market order
After a lossKeep or reduce riskAfter 2 stops in a row: 0.5% risk and a checklist auditIncreasing size to win it back

Sizing a position in 60 seconds

  1. Dollar risk: account × 0.01 (base 1%) or × 0.005 (conservative 0.5%).
  2. From the working timeframe's ATR, set the stop distance beyond the noise and the liquidation pool.
  3. Divide the dollar risk by the percentage distance to the stop: that's the full position (100%).
  4. Split it into 10/20/30/40% orders and check that the move to the next liquidity node gives 1:2 to 1:3 R:R.
Anatolich's insight

“Never increase size after a losing trade. Traders don't die from 1% stops. They die from one attempt to win it back with 10% risk.”

— Ivan Anatolich (@Avsteam)
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10Module 10 · Decision process and the Decision Score

Engineering decisions: scenarios, the Decision Score and Post-Trade Review

Removing FOMO and impulsive clicks with a points-based clearance matrix.

Knowing the system and following it while a candle rockets up are two different things. Under dopamine and cortisol the brain ignores missing confirmations ("it'll fly without me!") or moves the stop ("it's about to turn"). That's why the fourth pillar is a formal pipeline for making and reviewing decisions.

Before a trade you fill in a 6-point checklist that produces a Decision Score from 0 to 100: sync with BTC and correlation > 0.75 (20), a clean chart and a session window with no macro news (15), agreement of the ADX + MLMI + WTMO stack (20), anchoring to liquidations and POC/VAH/VAL levels (15), ATR-based sizing with risk ≤ 1% and R:R ≥ 1:2 (15), a 10/20/30/40% entry plan and a calm state of mind (15).

Under 75 points the trade is blocked. 75–84 allows a conservative entry at 0.5% risk. 85–100 unlocks the standard limit of up to 1%. Every trade goes into the decision journal, and once a week comes the Post-Trade Review: we judge not profit or loss but how precisely the algorithm was executed.

Filtering trades: from gut feeling to an objective Decision Score
Fig. 10.1 — Filtering trades: from gut feeling to an objective Decision Score
The decision journal and the weekly error audit (Post-Trade Review)
Fig. 10.2 — The decision journal and the weekly error audit (Post-Trade Review)
Decision ScoreSetup qualityRisk limitTrader's action
85–100 (class A+)All 4 pillars in syncUp to 1.0%Cascade 10% → 20% → 30% → 40% as planned
75–84 (class B)A working setup with one compromise0.5%First tranches only, 10% + 20%, tight stop control
60–74 (wait)The stack isn't confirmed yet0%, no tradingSet a price alert at VAH/VAL or a liquidation pool
Under 60 (noise / tilt)Guessing or trying to win back0%, terminal quarantineClose the chart, note it in the journal, pause until the next session

The weekly audit (Weekly Post-Trade Review)

  1. Export the week's trades and split them into "by the system (Score ≥ 75)" and "impulsive deviations".
  2. Calculate each group's result separately and you'll see where the money really goes.
  3. In every losing trade, check the ATR formula and the 10/20/30/40% entry.
  4. Write one corrective discipline rule for next week and post the report in the cohort chat.
Anatolich's insight

“A good trade isn't one where you got lucky without a stop. It's one where you scored 90 on the Decision Score and executed the procedure flawlessly.”

— Ivan Anatolich (@Avsteam)
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11Module 11 · The on-chain stack and the CMAVS club

On-chain metrics (SOPR, NUPL, MVRV, STH/LTH, ETF Flows) and the Sunday market review

How 6 specialist AI analysts and an editor-in-chief at the CMAVS club build the week's probability matrix.

The chart shows the effect; the cause of medium and long-term shifts lies in how capital holders behave on-chain and in institutional funds. So that students see the market top-down, the ecosystem runs a private club, CMAVS: $50 a month, with the first 3 months ($150) as a gift to Traders' Forge students.

The on-chain layer: SOPR (are holders taking profit or selling at a loss), NUPL (the cycle phase from capitulation to euphoria), MVRV (market cap versus realized cap), short and long-term holder cohorts (STH / LTH Supply), exchange flows, miner metrics, spot ETF flows and the Coinbase Premium.

Every Sunday the club publishes the Sunday market review. Six AI models work on it: on-chain and exchange flows; spot ETF capital (IBIT, FBTC); derivatives and liquidations; options Greeks and Max Pain; an algorithmic scan of the top 30 coins by EMA 12/24/48 + ADX + MLMI + WTMO; and a final risk synthesizer. The editor-in-chief pulls it all into a scenario matrix for BTC and ETH with probabilities, invalidation levels and the week's risk mode.

The on-chain stack: realized profit and loss (SOPR, NUPL, MVRV) and exchange balances
Fig. 11.1 — The on-chain stack: realized profit and loss (SOPR, NUPL, MVRV) and exchange balances
The CMAVS club: six lines of analysis combined into one Sunday probability snapshot
Fig. 11.2 — The CMAVS club: six lines of analysis combined into one Sunday probability snapshot
Metric groupIndicatorsWhat it showsEffect on the week
1. Value and profitSOPR, NUPL, MVRV Z-ScoreOverheated or deeply undervaluedSets the risk limit: 1.0% or 0.5%
2. Holder cohortsSTH / LTH Supply, Realized PriceCoins moving from weak hands to long-term holdersFundamental support zones
3. Exchanges and minersExchange Netflow, Miner ReservesSpot supply shortage or selling being preparedEarly warning of seller pressure
4. US institutionsSpot ETF Flows, Coinbase PremiumAre Wall Street funds buying?The priority direction for the New York session

Using the Sunday market review

  1. On Sunday evening, study the probability table for BTC and ETH: main and alternative scenario, invalidation triggers.
  2. Set the week's risk mode: with high macro uncertainty, switch the limit from 1% to 0.5%.
  3. Move the on-chain levels (STH Realized Price, demand zones) and liquidation pools onto your TradingView chart.
  4. During the week, check against the "Market Slice" and "Analysis" bots and the Trader Start terminal.
Anatolich's insight

“The CMAVS club saves you 10–15 hours a week of gathering data across dozens of terminals. You start Monday with a ready institutional map of the terrain.”

— Ivan Anatolich (@Avsteam)
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12Module 12 · The path: Forge → Prop Forge → Options

Three steps: Traders' Forge ($250) → Prop Forge ($500) → Options arbitrage ($2,000)

The CRYPTODATEX sports academy and a graduate's path into the trading house team.

You can't build a trading career in one webinar. Nor does it make sense to take on options structures or prop capital before basic hygiene is in place: a stop from ATR and the Decision Score checklist. So the ecosystem works like a sports academy with steps in sequence.

Step 0 is the free Trader Start terminal and a 60–90 minute group call with the method on a live chart. Step I is Traders' Forge: $250 in USDT for the pilot December cohort, a group of up to 20, 16 live sessions of about 2 hours, a 100% refund after the first lesson, 3 months of the CMAVS club as a gift and +1 month for every friend who buys the course.

Once a graduate steadily keeps risk ≤ 1% and shows positive expectancy in the journal, the higher steps open: Prop Forge ($500, prop challenges, working with outside capital, a 20% bonus on a BingX prop account) and Options arbitrage ($2,000, options, volatility trading and arbitrage from an author with 4 first places in Greeks.live tournaments). We invite the best graduates into the trading house team.

From discipline on a personal account to prop capital (Prop Forge)
Fig. 12.1 — From discipline on a personal account to prop capital (Prop Forge)
Options arbitrage: structures at the level of 4 Greeks.live wins
Fig. 12.2 — Options arbitrage: structures at the level of 4 Greeks.live wins
StepFormatPriceWhat it gives
0 · EntryTrader Start terminal + live call$0Check the method on a chart before paying anything
I · Traders' Forge16 live sessions of ~2 h, group of up to 20$250 (USDT, pilot)The 4 pillars A–D, refund after the 1st lesson, 3 months of CMAVS
CMAVS clubSunday review + bots$50 / mo (from month 4)A probability matrix from 6 AI models and an editor
II · Prop ForgePracticum with prop firms and limits$500Outside capital, 20% bonus on a BingX prop account
III · Options arbitrageMentoring in options and volatility$2,000Strategies at the level of 4 first places on Greeks.live

The route into the pilot cohort

  1. Message us on Telegram and we'll send the date of the next group call.
  2. Watch the method work on a live chart: 60–90 minutes, up to 50 people.
  3. If you like, ask for current students' contacts and talk to them without us.
  4. Reserve one of 20 places ($250 USDT) with a 100% refund after the first lesson.
Anatolich's insight

“We're not chasing scale. The group is capped at 20 so the author can personally review every trader's charts, trades and mistakes.”

— Ivan Anatolich (@Avsteam)
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13Module 13 · Worksheet

Pre-trade checklist tracker (Decision Score) for 7 trading days

Tick the criteria before each trade and the score adds itself up. Your ticks stay only in your browser.

Clearance rule: base risk (≤ 1% of the account) only with Decision Score ≥ 85. At 75–84, conservative 0.5% risk. Below 75, no entry.
CriterionWeightDay 1Day 2Day 3Day 4Day 5Day 6Day 7
1. Correlation to BTC > 0.75 and a clear direction from the guide20
2. ZigZag + ATR pick: clean candles, no spikes15
3. Session window, no CPI / PPI / NFP / FOMC release15
4. ADX + MLMI + WTMO + 1H EMA stack agrees20
5. Liquidation pool + POC / VAH / VAL15
6. Risk ≤ 1% from ATR, R:R ≥ 1:2, 10/20/30/40% plan15
Total Decision Score1000000000
85+ risk up to 1%75–84 risk 0.5%<75 no entry
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Next step

Ready to put all 4 pillars to work live with the author?

Book a group call with a live TradingView chart breakdown and reserve a place in the pilot cohort: $250 USDT, a group of up to 20, a 100% refund after the first lesson and 3 months of the CMAVS club as a gift.