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.


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


| Pillar | Key question | Tools and metrics | Clearance to trade |
|---|---|---|---|
| A · Market model | Where is big money flowing right now? | BTC/ETH dominance, OI, Funding, on-chain stack, correlation > 0.75 | A clear direction from the guide (BTC) and an asset in sync |
| B · Trading system | Which asset, and where is the mathematical edge? | ZigZag + ATR (10 min), EMA 12/24/48 (1H), ADX + MLMI + WTMO + liquidations | All 4 indicators agree and the candles are clean |
| C · Risk system | How 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% tranches | Size calculated before pressing the entry button |
| D · Decision process | Is the decision free of emotion and tilt? | Checklist, Decision Score, trade journal, Post-Trade Review | Decision Score ≥ 85 (≥ 75 at reduced risk), no adding after a loss |
“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)How to use Bitcoin as the market's main indicator and find assets that amplify its moves predictably.
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.


| Tier | Role in the system | Correlation to BTC | Use |
|---|---|---|---|
| 1. Bitcoin (BTC) | The main guide and risk barometer | 1.00 (reference) | Global phase, ETF flows, macro liquidity zones |
| 2. Ethereum (ETH) | Risk appetite in the second tier | 0.82–0.92 | Confirms the strength of the broad market |
| 3. Top-10 large/mid caps | The working pool for the daily pick | > 0.75 (strict filter) | BTC +1% → a predictable +4–5% on a clean chart |
| 4. Isolated small caps | Excluded from intraday trading | < 0.50 (noise) | Risk of manipulation and stop slippage |
“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)The morning routine: picking 1–2 instruments to work in 10 minutes.
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.


| Parameter | Tool | Take it | Skip it |
|---|---|---|---|
| 1. Link to the guide | Correlation to BTC | Steady > 0.75 on 1H/4H | Decorrelated, living its own life on news |
| 2. Wave size | ZigZag on 1H | Clear waves with room > 3–4 ATR | Saw-tooth compression, ragged legs |
| 3. Volatility | ATR | Enough room for 1:3 R:R within the session | A dead market or an extreme spike |
| 4. Clean candles | 1H candle filter | Full-bodied candles, predictable retests | Long spike wicks both ways |
“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)When you enter matters as much as the price: syncing trades with the world's liquidity centres.
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.


| Window / event | Liquidity | Price behaviour | System rule |
|---|---|---|---|
| Asian session | Moderate, building the base | Consolidation, accumulation | Mark the range edges, plan the day's scenarios |
| European session | Rising volume, London algorithms | Liquidity taken beyond the Asian range, impulse | First working window: 10% → 20% tranches |
| New York session | Peak futures, options and spot ETF volume | Maximum ATR acceleration | Main window for impulse trades and taking profit |
| Macro days (CPI, PPI, NFP, FOMC) | Turbulence, wide spreads | A whipsaw in the first 15–30 minutes | No entries before the release; trade only once structure settles |
“Trading the minute CPI or FOMC drops isn't trading. It's flipping a coin with negative expectancy because of slippage.”
— Ivan Anatolich (@Avsteam)How to remove conflicting duplicate signals and read trend structure on the hourly chart.
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.


| Element | Meaning | Role in a trend | Warning sign |
|---|---|---|---|
| Fast line | EMA 12, half-day momentum | Dynamic support as price accelerates | A candle closing beyond EMA 12 means slowing |
| Balance axis | EMA 24, daily equilibrium | Zone for adding the 20% and 30% tranches on a pullback | EMA 12 and 24 squeezed into a flat thread |
| Structure boundary | EMA 48, two-day filter | The line that holds the scenario | The 12/24 fan crosses EMA 48 with a slope change |
| 12/24/48 fan | All three opening in sync | Confirms capital flowing with the trend | All three intertwined: no trend setups |
“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)How to combine the presence of a trend, a phase change and the point of acceleration into one decisive rule.
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.


| Indicator | Answers the question | Confirmation condition | Blocks the mistake |
|---|---|---|---|
| 1. ADX | Is there a trend, and is it getting stronger? | Leaving the quiet zone, rising slope | Breakout trades in a dead range |
| 2. MLMI | Which way does the dominant structure point? | Holding the signal zone in the trade's direction | Early entries against the higher trend |
| 3. WTMO | When does the pullback end and the impulse begin? | A reversal cross after the correction unloads | Buying the top right before a pullback (FOMO) |
| Synthesis | Is the spring ready to fire? | All three agree on the working timeframe | Trades on "one pretty signal" |
“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)Why price travels from one liquidity pool to the next, and how to use other traders' forced closes.
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).


| Tool | Meaning | On entry | On taking profit |
|---|---|---|---|
| Liquidation zones | Clusters of forced closes at 5x–100x | Enter after the near pool is swept and price returns to structure | Take-profit before the opposite cluster |
| RSI and Williams %R | Price speed and overheated momentum | Divergences at Volume Profile edges | Partial exit when overheated on the higher timeframe |
| CCI | Deviation from the average channel | Breakout from consolidation past ±100 | Take profit on a spike beyond ±200 |
| Ultimate Oscillator | Pressure balance over 7/14/28 | Filters single RSI divergences | Signals fading demand within a wave |
“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)Seeing the real money behind the candles: fair value zones and the spring before a breakout.
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.


| Tool | Coordinate | Meaning in the system | Trader's action |
|---|---|---|---|
| POC | The level of maximum volume | Fair price, the magnet on a return to balance | Target for take-profit when trading from the edges |
| VAH / VAL | Value area edges (70%) | Balance holds, or imbalance begins | Add on a VAH retest from above (long) or a return below VAH (short) |
| Delta, order book, MFI, CMF | Buy/sell balance, capital inflow | Is real money following price? | Filter out breakouts on empty volume |
| RVI and Bollinger Bands | Compression and direction of expansion | Shift from accumulation to impulse | Ready for the 10/20/30/40% build on leaving the squeeze |
“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)The foundation of pillar C: making a losing streak safe for the account and the mind.
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.


| Parameter | Standard | Formula / rule | Taboo |
|---|---|---|---|
| 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 ATR | Size depends on stop width | Position_USD = Risk_USD / (Stop_ATR_Distance / Entry_Price) | A fixed size, "always $2,000" |
| Cascade build | 10% → 20% → 30% → 40% | Total risk of all 4 tranches at the stop ≤ 1% | 100% of size in one market order |
| After a loss | Keep or reduce risk | After 2 stops in a row: 0.5% risk and a checklist audit | Increasing size to win it back |
“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)Removing FOMO and impulsive clicks with a points-based clearance matrix.
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.


| Decision Score | Setup quality | Risk limit | Trader's action |
|---|---|---|---|
| 85–100 (class A+) | All 4 pillars in sync | Up to 1.0% | Cascade 10% → 20% → 30% → 40% as planned |
| 75–84 (class B) | A working setup with one compromise | 0.5% | First tranches only, 10% + 20%, tight stop control |
| 60–74 (wait) | The stack isn't confirmed yet | 0%, no trading | Set a price alert at VAH/VAL or a liquidation pool |
| Under 60 (noise / tilt) | Guessing or trying to win back | 0%, terminal quarantine | Close the chart, note it in the journal, pause until the next session |
“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)How 6 specialist AI analysts and an editor-in-chief at the CMAVS club build the week's probability matrix.
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.


| Metric group | Indicators | What it shows | Effect on the week |
|---|---|---|---|
| 1. Value and profit | SOPR, NUPL, MVRV Z-Score | Overheated or deeply undervalued | Sets the risk limit: 1.0% or 0.5% |
| 2. Holder cohorts | STH / LTH Supply, Realized Price | Coins moving from weak hands to long-term holders | Fundamental support zones |
| 3. Exchanges and miners | Exchange Netflow, Miner Reserves | Spot supply shortage or selling being prepared | Early warning of seller pressure |
| 4. US institutions | Spot ETF Flows, Coinbase Premium | Are Wall Street funds buying? | The priority direction for the New York session |
“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)The CRYPTODATEX sports academy and a graduate's path into the trading house team.
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.


| Step | Format | Price | What it gives |
|---|---|---|---|
| 0 · Entry | Trader Start terminal + live call | $0 | Check the method on a chart before paying anything |
| I · Traders' Forge | 16 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 club | Sunday review + bots | $50 / mo (from month 4) | A probability matrix from 6 AI models and an editor |
| II · Prop Forge | Practicum with prop firms and limits | $500 | Outside capital, 20% bonus on a BingX prop account |
| III · Options arbitrage | Mentoring in options and volatility | $2,000 | Strategies at the level of 4 first places on Greeks.live |
“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)Tick the criteria before each trade and the score adds itself up. Your ticks stay only in your browser.
| Criterion | Weight | Day 1 | Day 2 | Day 3 | Day 4 | Day 5 | Day 6 | Day 7 |
|---|---|---|---|---|---|---|---|---|
| 1. Correlation to BTC > 0.75 and a clear direction from the guide | 20 | |||||||
| 2. ZigZag + ATR pick: clean candles, no spikes | 15 | |||||||
| 3. Session window, no CPI / PPI / NFP / FOMC release | 15 | |||||||
| 4. ADX + MLMI + WTMO + 1H EMA stack agrees | 20 | |||||||
| 5. Liquidation pool + POC / VAH / VAL | 15 | |||||||
| 6. Risk ≤ 1% from ATR, R:R ≥ 1:2, 10/20/30/40% plan | 15 | |||||||
| Total Decision Score | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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.