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Crypto trading foundations
Markets, order mechanics, perpetual contracts and the language needed to do careful research.
Cross-Venue Perpetual Radar: Tracking Binance, Bybit, and Hyperliquid Funding & OI Divergence
Analyze cross-venue perpetual futures disparities across Binance, Bybit, and Hyperliquid: funding rate spreads, open interest divergence, and basis arbitrage mechanics.
5分の読書 ↗02 / FIELD GUIDECrypto Perpetual Funding Rates: Read the Sign, Interval and Payment
Learn how crypto perpetual funding changes by venue and interval, calculate signed settlement cash flows, and record funding honestly in research.
8分の読書 ↗03 / FIELD GUIDECrypto Liquidation Heatmaps: How Clusters Form and What They Reveal
Understand how leverage clusters form below and above key price zones, why heatmap estimates differ from exchange books, and how cascade mechanics unfold.
6分の読書 ↗04 / RESEARCH GUIDECrypto Market Sessions: Research a 24/7 Market without Guessing
See what 2018–2025 intraday studies show, convert UTC windows correctly, and test session effects without mistaking activity for liquidity or an edge.
7分の読書 ↗05 / PRACTICAL EXPLAINERCrypto Order Types Explained: Market, Limit, Stop and TWAP
Learn what market, limit, stop and TWAP orders control, where fills can fail, and how time-in-force and trigger rules change across crypto venues.
9分の読書 ↗06 / BEGINNER GUIDEFrom Crypto Basics to Perpetual Futures Research: A Beginner Learning Path
A staged path from blockchain basics, custody and wallet safety to orders, perpetual futures, liquidation and evidence-first research, with a checkpoint per stage.
7分の読書 ↗07 / PRACTICAL EXPLAINERCrypto Spread, Liquidity and Slippage: Calculate a Market Order's Cost
Calculate a fictional crypto market order across bid and ask levels, separate spread, depth impact and fees, and learn why candles cannot prove a fill.
7分の読書 ↗08 / CALCULATION GUIDECrypto Trading Fees: Maker vs Taker and Round-Trip Cost
Calculate maker and taker crypto fees from partial fills, check today's venue schedule, and keep funding, spread and slippage separate.
8分の読書 ↗09 / BEGINNER GUIDECrypto Trading for Beginners: Learn the Market Before You Build a Plan
A practical beginner's guide to crypto spot and perpetual markets, order execution, a fictional position-size example and an evidence-first practice workflow.
7分の読書 ↗10 / PRACTICAL EXPLAINERDEX Swap Quotes vs Perpetual Order Books: How Execution Cost Differs
Compare a swap quote's price impact and slippage tolerance with a perpetual order book's bids, asks and depth, using fictional numbers and an audit checklist.
7分の読書 ↗11 / FIELD GUIDEHyperliquid Whale Tracker: How Position Consensus and Flips Actually Work
Understand how on-chain perpetual whale tracking works on Hyperliquid, why net positioning flips matter, and how to separate recorded ledger facts from speculative noise.
6分の読書 ↗12 / CALCULATION GUIDELong vs Short in Perpetual Futures: P&L Math with Examples
How a long and a short make or lose money on a linear perpetual: return on position vs collateral, fees and funding in the net result, and the break-even move.
8分の読書 ↗13 / FOUNDATIONALMaker Rebates and VIP Fee Tiers: Minimizing Friction in Perp Trading
Calculate maker-taker spreads, post-only order mechanics, fee tier progressions, and the structural impact of execution drag on long-term edge.
5分の読書 ↗14 / MECHANICS COMPARISONMark Price vs Index Price vs Last Price in Crypto
Understand last trade, oracle or index, and mark price in crypto derivatives. Compare Hyperliquid's inputs, reproduce a fictional price gap, and identify the field behind a trigger, valuation or fill.
7分の読書 ↗15 / FIELD GUIDENegative Funding Rate Playbook: Short Squeeze Mechanics in Crypto Perps
Analyze negative funding rates, perpetual discount dynamics, forced short covering cascades, and spot-led recovery setups.
5分の読書 ↗16 / FIELD GUIDEOpen Interest and Funding: Read Crypto Perp Positioning
What open interest counts, the four price and OI combinations, which side funding shows paying to stay in, and why crowding is context, not a forecast.
7分の読書 ↗17 / PRACTICAL EXPLAINEROrder Filled vs Transaction Finalized: Pending, Filled, Confirmed and Final in Crypto
Separate an order's lifecycle on a venue from a blockchain transaction's status, and learn which IDs, signatures and timestamps a journal needs to reconcile them.
7分の読書 ↗18 / SIMULATOR GUIDECrypto Paper Trading: What a Simulator Can Teach—and Miss
A practical crypto paper-trading guide to fill models, quote-side P&L, order-state records and the evidence still missing before any live comparison.
8分の読書 ↗19 / FOUNDATIONALPerpetual DEX vs CEX: Execution, Slippage, and Counterparty Risk Comparison
Compare onchain CLOBs and AMMs with centralized venues across latency, gas, MEV, fee schedules, and insolvency risks.
5分の読書 ↗20 / BEGINNER GUIDEWhat Are Perpetual Futures? How Crypto Perps Work
A plain-language definition of crypto perpetual futures: no expiry, collateral, the funding mechanism, mark price and linear P&L, with worked SOL examples.
8分の読書 ↗21 / PRACTICAL EXPLAINEROracle Prices in Perpetual Futures: How Venues Reference Spot and Where Oracle Risk Hides
What an oracle price is, why perpetual venues and DeFi lending need outside references, how oracle feeds fail, and a checklist for naming the price behind a test or stop.
7分の読書 ↗22 / BEGINNER GUIDEHow to Read Crypto Candlestick Charts: Open, High, Low and Close
Read crypto candle bodies and wicks, calculate an example bar, spot live-bar changes, and turn chart observations into testable rules without guessing the intrabar path.
7分の読書 ↗23 / COMPARISON GUIDESpot vs Perpetual Futures: What Actually Changes When You Trade?
Compare cash-funded crypto spot with perpetual futures through matched exposure, collateral, funding, custody, mark prices and liquidation risk.
9分の読書 ↗Trading styles
Compare holding periods and decision-making methods before choosing a process to study.
Algorithmic Crypto Trading: From Research Rule to Operating System
See how an algorithmic trading idea moves through data checks, rule validation, risk controls and monitoring—and where a backtest ends.
7分の読書 ↗02 / PLANNING GUIDECrypto Day Trading: Write a Session Plan Before the First Decision
Build a crypto day-trading routine with a defined UTC window, completed-candle timing, order and cost rules, a stay-flat branch and an end-of-session review.
7分の読書 ↗03 / PROCESS GUIDENews and Event-Driven Crypto Trading: Build an Evidence Timeline
Learn how to research crypto event-driven trading: authenticate a catalyst, timestamp when it became actionable, define an event sample, compare returns with a benchmark and include execution costs.
7分の読書 ↗04 / PLANNING GUIDEPosition Trading in Crypto: Plan and Review a Longer-Horizon Thesis
Build a crypto position-trading plan with thesis checks, exposure, invalidation, funding and a scheduled review workflow for longer holds.
8分の読書 ↗05 / FEASIBILITY GUIDECrypto Scalping Costs: Test Whether the Data Can Support the Claim
Calculate the fee and execution hurdle for short-horizon crypto trades, test how turnover changes the cost floor, and identify the fill evidence a scalp backtest needs.
8分の読書 ↗06 / RESEARCH WORKFLOWCrypto Swing Trading: Set a Holding Window and a Testable Exit
Turn a multi-day crypto trading idea into explicit entry and invalidation rules that account for funding, gaps, position size and review dates.
8分の読書 ↗07 / COMPARISON GUIDETypes of Crypto Trading: Scalping, Day, Swing and Position
Compare crypto trading styles by approximate holding window, monitoring, costs and data needs, then choose a research horizon the evidence can actually test.
8分の読書 ↗08 / COMPARISON GUIDEDCA vs Active Crypto Trading: What Are You Comparing?
Compare scheduled crypto purchases with an active rule using the same contribution dates, cash availability, holding period, costs and risk measures.
8分の読書 ↗09 / COMPARISON GUIDEDiscretionary vs Systematic Trading: How Decisions Are Made
Compare discretionary, systematic and hybrid crypto trading by decision authority, allowed overrides and execution records, with a practical test workflow.
8分の読書 ↗10 / EVALUATION GUIDECrypto Copy Trading Risks: Evaluate a Track Record Carefully
Check crypto copy-trading records, leverage, follower fills, custody and fees before treating a displayed track record as evidence.
7分の読書 ↗11 / SIMULATION GUIDEPaper-Copying a Whale: Why Your Fills Won't Match Theirs
How a simulated whale copy scales positions by account size, which costs and delays it models, and why a paper result is not evidence that a live follower would earn the same.
8分の読書 ↗Strategy research
Turn trend, breakout, mean-reversion and carry hypotheses into rules you can challenge.
Crypto Bollinger Bands: Test Breakout and Reversion as Separate Ideas
Calculate Bollinger Bands on a fictional crypto price series, compare %B and BandWidth, and test breakout and reversion rules without treating a band touch as a signal.
8分の読書 ↗02 / METHOD GUIDECrypto Breakout Trading: Make the Range Rule Testable
Define a crypto range breakout with completed bars, a later entry and explicit failure rules, then test false breaks, gaps, costs and data resolution.
7分の読書 ↗03 / RISK ANALYSISCrypto Funding-Rate Arbitrage: Why a Hedge Is Not Risk-Free
Reconcile crypto cash-and-carry P&L, posted funding, basis moves and trading costs in a matched-leg example, then test execution, collateral and unwind risks.
11分の読書 ↗04 / MECHANICS GUIDECrypto Grid Trading: Track Inventory, Fees and Range Breaks
Compare arithmetic and geometric crypto grid spacing, reconcile a fictional spot ledger, and plan for fees, open inventory and range breaks.
9分の読書 ↗05 / BEGINNER GUIDECrypto Indicators for Beginners: MA, RSI, MACD, Bands and ATR
What moving averages, RSI, MACD, Bollinger Bands, ATR and volume each measure, with worked numbers, common traps, and why five indicators are not five votes.
7分の読書 ↗06 / METHOD GUIDEMean Reversion in Crypto: Define the Return-to-Average Test
Learn what crypto mean reversion claims, how to define a reference, horizon, entry and costs, and what recent Bitcoin and crypto research does—and does not—show.
7分の読書 ↗07 / IMPLEMENTATION GUIDEMoving-Average Crossovers: Test Settings without Cherry-Picking
A reproducible crypto moving-average crossover example with exact SMA math, causal entries and a no-cherry-picking test workflow.
8分の読書 ↗08 / STRATEGY COMPARISONCrypto Options Strategies: Calls, Puts and Defined-Risk Spreads
Compare a long call, protective put and debit call spread with worked expiry payoffs, then check contract size, settlement currency and costs before testing a crypto options idea.
7分の読書 ↗09 / METHOD GUIDECrypto Range Trading: Define the Boundaries and the Break
Turn a crypto range-fade idea into measurable boundaries, entries, exits and invalidation, with a worked cost example and a separate plan for a market that leaves the range.
7分の読書 ↗10 / MECHANICS GUIDERSI Crypto Strategies: Define the Signal before Testing
Separate momentum and reversal interpretations of RSI, specify a causal threshold rule, and test trend failure, exits, costs and parameter search honestly.
7分の読書 ↗11 / BEGINNER GUIDESupport and Resistance in Crypto: Read Market Structure
Label swing highs and lows, tell an uptrend from a range, treat support and resistance as zones, and separate a close-based breakout from a false break.
8分の読書 ↗12 / METHOD GUIDECrypto Trend-Following Strategies: Rules, Costs and Whipsaw
Compare moving-average, breakout and time-series-momentum rules, then test signal timing, sideways-market losses and trading costs with a causal crypto workflow.
9分の読書 ↗13 / MECHANICS GUIDEVWAP in Crypto: Define the Reset before Interpreting the Line
Learn what crypto VWAP measures, how bar volume changes the result, and how to test a reset rule without using unfinished candles or hindsight.
8分の読書 ↗14 / FIELD GUIDECumulative Volume Delta (CVD): Tracking Aggressive Perp Order Flow
Master CVD construction, aggressive taker orders versus resting limit orders, absorption patterns, and spot-perp flow divergences.
6分の読書 ↗15 / ADVANCED PLAYBOOKDelta-Neutral Cash-and-Carry: Spot vs Perp Basis Arbitrage and Hidden Risks
How to build a funding yield harvesting trade, calculate net carry after fee drag, manage upside liquidation tail risk on the short leg, and monitor basis blowouts.
5分の読書 ↗16 / RESEARCH GUIDEWhale Consensus and Crowding: When Top Traders Lean the Same Way
Net versus gross positioning, flips, large net changes and crowded adds among tracked Hyperliquid traders, and why a crowded side describes positioning rather than timing.
7分の読書 ↗17 / ADVANCED PLAYBOOKLong/Short Ratio: Interpreting Top Trader Sentiment and Retail Traps
Understand retail account ratios versus top trader notional positioning, crowding thresholds, and positioning divergence traps in perpetual futures.
5分の読書 ↗18 / RESEARCH CHECKLISTToken Unlocks and Supply Events: How to Research Them Without Hindsight
Research crypto token unlocks as events: separate supply measures, record when a schedule was knowable, fix windows and a benchmark, and keep delisted tokens in the sample.
7分の読書 ↗Risk and position sizing
Work through exposure, costs, drawdowns, leverage and failure limits with explicit assumptions.
ATR Stops and Crypto Position Sizing: A Worked Example
Turn a stated ATR stop distance and dollar risk budget into a hypothetical crypto quantity, then account for costs, contract steps and gap risk.
7分の読書 ↗02 / ADVANCED PLAYBOOKAuto-Deleveraging (ADL) and Insurance Funds: Why Winning Trades Get Closed
Understand the exchange waterfall when insurance funds deplete, how the ADL queue ranks high-leverage winners, and how to hedge ADL risk.
5分の読書 ↗03 / COMPARISON GUIDECross vs Isolated Margin in Crypto: Compare Collateral Exposure
Compare shared cross-margin collateral with position-specific isolated margin using a fictional account ledger, then check the venue rules that determine actual liquidation scope.
6分の読書 ↗04 / MECHANICS GUIDECrypto Liquidation Explained: Margin, Mark Price and Venue Rules
Learn how maintenance margin, account mode, mark price and close-out rules affect crypto liquidation, with a worked example that keeps its assumptions visible.
7分の読書 ↗05 / ANALYSIS GUIDECrypto Portfolio Correlation: What It Shows—and What It Misses
Calculate return correlation on aligned crypto data, inspect changing windows, and stress-test portfolio exposure beyond an ordinary correlation matrix.
7分の読書 ↗06 / PRACTICAL CALCULATIONCrypto Position Sizing: Calculate Quantity from a Planned Risk Budget
Learn the crypto position-sizing formula, include estimated costs, round to a contract's quantity step, and stress several open positions together.
9分の読書 ↗07 / CALCULATION GUIDETrading Drawdown and Recovery: See the Asymmetric Path
Calculate the gain needed to recover a trading drawdown, compare common loss sizes and understand why a recovery percentage does not describe future odds.
8分の読書 ↗08 / MECHANICS GUIDEWhale Liquidation Distance: Reading the Radar Without Treating It as a Target
How a whale tracker measures the gap between price and a large position's liquidation price, why cross-margin thresholds move, and what a near-liquidation alert can and cannot say.
8分の読書 ↗09 / ILLUSTRATED EXPLAINERCrypto Leverage vs Position Size: Exposure and Margin
Learn how crypto leverage differs from position size, compare fixed-notional and fixed-collateral examples, and size a hypothetical trade from a stated loss budget before checking venue margin rules.
8分の読書 ↗10 / PROBABILITY GUIDETrading Losing Streaks: Calculate the Odds and Define Ruin
Calculate the chance of a trading losing streak across a stated horizon, see how sizing changes drawdown, and learn why neither number is risk of ruin.
7分の読書 ↗11 / QUANT TUTORIALMaintenance Margin Tiers and Leverage Brackets: Liquidation Math Explained
Master tiered margin schedules, position size brackets, effective liquidation prices, and safe buffer estimation for crypto perpetuals.
5分の読書 ↗12 / PRACTICAL CHECKLISTPerpetual Futures Mistakes Beginners Make, and Risk Rules
Ten common perpetual futures mistakes, from leverage-first sizing to ignored funding, with the drawdown and losing-streak math behind simple risk rules.
8分の読書 ↗13 / FIELD GUIDEThe Perpetual Futures Pre-Trade Risk Checklist: Sizing, Stop-Loss, and Funding Drag
A rigorous systematic 5-step pre-trade routine covering liquidation buffers, taker fee drag, funding carry direction, liquidity depth, and maximum portfolio drawdown limits.
5分の読書 ↗14 / CALCULATION GUIDERisk-Reward Ratio vs Trading Expectancy: Why Win Rate Is Not Enough
Calculate net expectancy and break-even win rate from wins, losses and costs, then see how crypto order triggers, actual fills and fees can change a planned reward-to-risk ratio.
7分の読書 ↗15 / RISK EXPLAINERStablecoin Collateral for Perpetual Futures: Depeg, Freeze and Margin Risks
Stablecoin margin is not cash. See how issuer, redemption, freeze and depeg risk meet a venue's collateral rules, with a hypothetical example of shrinking margin headroom.
7分の読書 ↗16 / COMPARISON GUIDEStop Loss vs Liquidation in Crypto: Triggers, Fills and Margin
Compare stop triggers, order fills and venue liquidation with a worked margin example, current exchange rules and a practical pre-trade audit.
7分の読書 ↗17 / RESEARCH CHECKLISTTrading Account and API Key Security: Permissions, Wallets and Recovery Plans
Before connecting a bot or tool: scope API keys, separate signing wallets from storage, protect logins and devices, refuse seed-phrase requests and write a recovery plan.
7分の読書 ↗Backtesting and evidence
Study historical research without hiding bias, costs, data limits or uncertain results.
Monte Carlo Trade Resampling: What the Simulation Can and Cannot Say
Compare shuffled trades with independent and block-bootstrap samples, reproduce a drawdown example, and see exactly what SuperQuant's diagnostic measures.
7分の読書 ↗02 / COMPARISON GUIDEBacktesting vs Paper Trading vs Forward Observation
Compare historical backtests, paper trading and prospective observation by the evidence each stage can provide—and the execution evidence each one still lacks.
7分の読書 ↗03 / COST WORKSHEETCrypto Backtest Costs: Include Fees, Spread, Slippage and Funding
Build a transparent crypto backtest cost model with separate fee, spread, slippage and funding assumptions, then test whether the conclusion survives higher costs.
9分の読書 ↗04 / METRICS GUIDECrypto Backtest Metrics: Sharpe, Sortino and Profit Factor
Calculate Sharpe, Sortino and profit factor from a small fictional sample, then read each beside drawdown, trade count, costs and the test process.
6分の読書 ↗05 / METHOD GUIDECrypto Backtest Overfitting: Why the Best Result Can Mislead
Understand how repeated strategy searches fit historical noise, then reduce avoidable overfitting with preregistered rules, chronological tests and honest reporting.
7分の読書 ↗06 / PRACTICAL CHECKLISTCrypto Backtesting Data Quality: Check Gaps, Timestamps and Provenance
A practical audit for crypto backtest data: verify the market and time basis, find missing or duplicate candles, align funding and signals, and preserve a reproducible source record.
7分の読書 ↗07 / STEP-BY-STEP GUIDECrypto Walk-Forward Testing: Repeated Windows, Changing Rules
Plan sequential crypto training and test windows, predeclare any update schedule, compare every evaluation window, and distinguish walk-forward analysis from one reserved holdout.
7分の読書 ↗08 / QUANT TUTORIALBacktesting Perp Strategies: Handling Historical Funding Rates and Open Interest
Avoid common backtest pitfalls: aligning 1-hour and 8-hour funding payments, handling lookahead bias in open interest snapshots, and simulating liquidation slippage.
5分の読書 ↗09 / STEP-BY-STEP WORKFLOWHow to Backtest a Crypto Trading Strategy: A Research Workflow
Learn how to backtest a crypto strategy with checked candle data, causal entries, realistic costs, chronological tests and a record of what the result can prove.
8分の読書 ↗10 / EVALUATION GUIDEWhale Scorecards: Hit Rates, Survivorship and Why a Ranked List Flatters Itself
How a top-trader scorecard is built from detected entries, what a 24-hour hit rate measures, and why ranking by recent profit can make past results look stronger than what follows.
7分の読書 ↗11 / FIELD GUIDEHyperliquid Whale Tracking: What Public Positions Can and Cannot Tell You
Hyperliquid exposes positions by address. Learn what a whale tracker can read from that record, how a top-trader list is chosen, and which conclusions the data cannot support.
8分の読書 ↗12 / TIMING GUIDELook-Ahead Bias in Backtesting: Check What Was Knowable
Find look-ahead bias by tracing signal timestamps, candle completion and order timing; separate information available at the decision from later outcomes.
7分の読書 ↗13 / RESEARCH CHECKLISTOn-Chain Data in Crypto Trading Research: What Wallet Activity Can and Cannot Prove
Use wallet flows, holder lists and address labels in crypto research without mistaking attribution for identity or applying today's labels to yesterday's data.
7分の読書 ↗14 / METHOD GUIDEOut-of-Sample Crypto Testing: Freeze One Rule before the Holdout
Reserve one later crypto data segment before tuning, freeze preprocessing and costs, evaluate once, and retire the holdout if its result changes your crypto research.
7分の読書 ↗15 / FIELD GUIDEVerifiable Crypto TA: SHA-256 Pre-Trade Receipts, Out-of-Sample Grading, and Zero Hindsight
Learn why cryptocurrency technical analysis requires cryptographic SHA-256 pre-trade receipts, how out-of-sample grading prevents hindsight bias, and how to verify setups.
5分の読書 ↗Trading process
Build a repeatable plan, research journal and review habit that preserve what you knew at the time.
AI for Crypto Trading Research: Verify the Claim, Not the Confidence
A practical workflow and free worksheet for checking AI-written trading claims, venue mechanics, calculations, code and product statements against primary evidence.
7分の読書 ↗02 / EXAMPLE WITH SYNTHETIC DATABitcoin Backtest Example: Audit a Trend Hypothesis in SuperQuant
Reproduce SuperQuant's BTC-labeled trend template on seeded synthetic hourly bars, inspect its costs and validation windows, and see exactly why the result is not Bitcoin performance evidence.
8分の読書 ↗03 / JOURNALING WORKFLOWA Crypto Trading Journal That Records the Decision, Not Just the Trade
Build a reviewable crypto trading journal with written pre-trade assumptions, costs, stop rules, outcomes, corrections and deliberate stay-flat decisions.
7分の読書 ↗04 / PLANNING WORKFLOWHow to Write a Crypto Trading Plan: Rules, Risk and Review
Write a crypto trading plan with testable rules, a defined risk budget, venue-specific execution checks, clear failure conditions and a scheduled review.
8分の読書 ↗05 / PRACTICAL EXPLAINERCrypto Trading Records: Realized vs Unrealized PnL, Fees and Funding
Separate realized and mark-based PnL, fees, funding payments and transfers in a crypto trading record, with a fictional perpetual ledger that reconciles to the balance.
6分の読書 ↗06 / RESEARCH CHECKLISTCrypto Signal Groups, Trading Bots and Fake Support: Red Flags to Check First
Check paid signal channels, AI trading bot pitches, fake support messages and wallet-connection requests against concrete red flags and a standard of verifiable evidence.
7分の読書 ↗07 / NEGATIVE SYNTHETIC EXAMPLEEthereum Mean-Reversion Research: Audit a Synthetic RSI Example
Audit a negative ETH-labeled synthetic RSI replay with the exact downloadable input, modeled cost tests and resampling limits; none of the results are Ethereum market evidence.
8分の読書 ↗08 / BUYER'S CHECKLISTHow to Evaluate Crypto Backtesting Software
Compare crypto backtesting tools with controlled tests for data, timing, fills, costs and reproducibility—not headline returns.
8分の読書 ↗09 / SELF-REVIEW GUIDEFOMO and Revenge Trading: A Pause-and-Review Routine
Separate social urgency and loss-chasing from a rule-based crypto setup. Research boundaries, a decision log and a practical pause-and-review workflow help keep the next trade from rewriting the plan.
8分の読書 ↗10 / FIELD GUIDEHow to Read a Crypto TA Signal: Bias, Levels and Triggers
Read a technical-analysis signal field by field: bias score, confidence, levels, trigger and invalidation, using SuperQuant's TA card as a worked example.
7分の読書 ↗11 / SOURCE WALKTHROUGHHyperliquid Funding Data: Verify History, Timestamps and Sign
Use Hyperliquid's read-only information API to retrieve funding-rate history, paginate safely, audit timestamps and reconcile account payment records separately.
8分の読書 ↗12 / WORKFLOW GUIDEA Whale-Alert Research Routine in Telegram
Set whale-alert filters before the first alert, record each alert before looking at the chart, and review outcomes at fixed horizons so alerts become questions rather than orders.
8分の読書 ↗13 / FIELD GUIDEHow to Reconcile Binance, Bybit, and Hyperliquid Perpetual Fills and PnL
Standardize multi-exchange trade exports, isolate collateral funding fees, separate fee deductions from realized PnL, and audit account-level performance.
5分の読書 ↗14 / SYNTHETIC LIMITATION EXAMPLESolana Breakout Research: Audit the Synthetic Range-Rule Example
Audit a SOL-labeled synthetic range-breakout replay, inspect its P&L, cost sensitivity, chronological windows and resampled trade-order range, and separate it from Solana market evidence.
7分の読書 ↗15 / FIELD GUIDESolana Smart Money Tracking: Leaderboard Ranking, Filtering, and FIFO PnL Methodology
Learn how on-chain Solana smart money leaderboards are constructed, how to filter out token deployers and wash trading, and why FIFO realized PnL matters.
6分の読書 ↗16 / PRACTICAL WORKFLOWTelegram Crypto Signal Bot Workflow: Check, Plan, Alert
A repeatable loop for any Telegram crypto signal bot (signal, check, plan, alert, review) with a worked sizing example and a two-minute daily routine.
7分の読書 ↗17 / PRACTICAL WORKFLOWWeekly Trading Review: Separate the Plan from the Outcome
A repeatable weekly trading review with a worked decision example, rule-adherence matrix and checks for missing records, fees and hindsight.
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