Trader OS

Systematic trading path

Follow the Crypto Quant route. Review Foundation quickly, then continue to institutional trading.

Reading mode
Who it suits
People pursuing Crypto Quant
Pace
4 Foundation chapters weekly; 2 weeks per Advanced domain. Keep foundational content complete, but distribute time unevenly.
Goal
Quickly review key Foundation nodes, then follow microstructure, strategy research, backtesting, Quant, portfolio/risk, and execution into institutional trading.
Recommended reading mode ·Fast Track mode
Collapses Market scene, Your decision, and Observe the result; goes directly to mechanisms, terms, cases, and Labs. Three depths defaults to Advanced. Suitable for experienced traders.
Start with Fast Track mode28 stops, of which28 have published bodies; for the rest, read the Phase overview first.
  1. Phase 1
    1Chapter 6 · What makes a complete tradeWhat should you settle before placing an order?
  2. Phase 2
    2Chapter 8 · Expected ValueIs a trade with only a 40% chance of winning worthwhile?
  3. 3Chapter 9 · Win rate and reward/riskWhy can a strategy with a 90% win rate keep losing money?
  4. 4Chapter 11 · Position SizingWhat size suits the same trading idea?
  5. 5Chapter 12 · Risk of RuinWhy can a positive-expectancy strategy still cause ruin?
  6. Phase 3
    6Chapter 13 · Order BookWhat happens in the book when you click market buy?
  7. 7Chapter 14 · LiquidityWhy does a $1 million purchase barely move one coin but move another by several percent?
  8. 8Chapter 15 · Market MakerWhy is quoting both sides and earning the spread harder than it looks?
  9. 9Chapter 16 · Crypto Market StructureWhy do exchanges, on-chain AMMs, and aggregators quote and execute the same coin differently?
  10. 10Chapter 17 · Crypto DerivativesSpot, dated futures, and perpetuals all say buy BTC. What differs?
  11. 11Chapter 18 · Liquidation FeedbackWhy can a decline accelerate beyond anyone's expectations?
  12. Phase 4
    12Chapter 19 · Where strategies originateWhose money funds a sustainably profitable strategy?
  13. 13Chapter 20 · HypothesisWhat is wrong with trading whenever an indicator signals?
  14. 14Chapter 21 · MechanismWhat economic mechanism makes a strategy profitable?
  15. 15Chapter 22 · SignalHow can a computer evaluate a feeling such as the market is too hot?
  16. 16Chapter 23 · Market RegimeWhy does the same strategy profit last year and keep losing this year?
  17. 17Chapter 24 · FalsificationWhat would show that your strategy is wrong?
  18. Phase 5
    18Chapter 25 · What a Backtest isCan historical simulation prove future profitability?
  19. 19Chapter 26 · Data BiasWhy do perfect backtest curves often disappear in live trading?
  20. 20Chapter 27 · In-sample / Out-of-sampleWhy is tuning parameters to a perfect backtest bad news?
  21. 21Chapter 28 · Transaction CostWhat remains after costs from a strategy backtesting at 50% annualized?
  22. 22Chapter 29 · RobustnessWhat does losing profitability after a small parameter change imply?
  23. 23Chapter 30 · Paper TradingWhy can you not invest real money immediately after a passing backtest?
  24. Advanced
    24Advanced B · Strategy researchProgress from Experience-driven, random trading to Research-driven Trading
  25. 25Advanced C · Systematic and quantitative tradingProgress from Discretionary judgment to Systematic research starting from a Market Question
  26. 26Advanced D · Portfolio and riskProgress from Trade Management to Capital Management
  27. 27Advanced E · Execution and microstructureProgress from Signal Alpha to Realized Alpha
  28. 28Advanced F · Institutional tradingProgress from Trader to Portfolio Manager

How to read

Follow this sequence:

  1. Foundation Fast Track
  2. Crypto Microstructure
  3. Strategy Research
  4. Backtesting
  5. Systematic / Quant
  6. Portfolio / Risk
  7. Execution
  8. Institutional Trading
  • Foundation Fast Track keeps five chapters: the complete trade, expectancy, win rate and payoff ratio, position sizing, and risk of ruin. Every later strategy uses these calculations.
  • Foundation content remains complete, but time need not be evenly distributed. Return to the relevant chapter whenever stuck.
  • Quant begins with a Market Question, not machine learning. Before Advanced C, confirm that you have finished the three Phase 4 hypotheses.

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