I.T.I.

RDSA The System Arbitrageur

🐺RDSAThe System Arbitrageur

Wherever statistics find an edge, you harvest it — mechanically.

Decode RDSA

Click any letter to open the deep dive for that axis.

About you

You run many strategies in parallel, collecting small spreads over and over. You don't need one home run — you stack thousands of singles.

Diversified across assets, you exploit market inefficiencies with rules, not hunches. Code and spreadsheets are your hands and feet.

Markets are statistics. In front of enough probability, emotion is a luxury.

Style match: Jim Simons style

Going deeper into The System Arbitrageur

RDSA runs rules-based systems harvesting many small edges. Not one home run — thousands of singles.

Code, spreadsheets, statistics. Overfitting and regime changes are your biggest enemies.

Many strategies in parallel → capital allocation and risk caps become the operational levers.

Strengths

  • ✓Rules-based execution
  • ✓Running parallel strategies
  • ✓Backtesting mindset

Watch-outs

  • ✕Risk of overfitting models
  • ✕Fragile in regime shifts

Daily routine of The System Arbitrageur

  • ○Weekly strategy-level dashboards
  • ○Monthly: slippage + fees audit
  • ○Quarterly: parameter stability tests
  • ○Hard-coded kill switch for regime breaks
  • ○Half-yearly: backtest one new strategy candidate

Traps to watch out for

  • ⚠Mistaking overfit models for skill
  • ⚠Strategy count > monitoring capacity
  • ⚠Backtests that under-model real costs

5 ways to level up

  1. 1.Pre-allocate capital per strategy.
  2. 2.Backtests must include bull + bear + chop.
  3. 3.Implement kill-switches as code, not as intent.
  4. 4.Force quarterly removal of 1 weakest strategy.
  5. 5.Keep one baseline = 200-day moving average alone.

Recommended reading

  • The Quants (Scott Patterson)History + pitfalls.
  • Algorithmic Trading (Ernest Chan)Practical model design.
  • Fooled by Randomness (Taleb)Statistics traps, skill vs luck.

Assets that fit this type

Below are example asset categories that match this style — not recommendations for any specific security or product.

  • Multi-strategy pair tradesLong + short, near-neutral
  • Smart-beta ETFsFactor rules packaged
  • Short-term bonds / MMFIdle capital storage

Compared to other types

Partner — PDLA

PDLA differs in speed but shares the rules-based DNA — natural fit.

Open the RDSA × PDLA compatibility →Opposite — PILC

PILC would make one trade in the time RDSA processes thirty.

Open the RDSA × PILC compatibility →
See RDSA's compatibility with another type → Axis-level analysis

Scenarios for this type

Action cards for RDSA across each scenario in our library.

Seasonal Playbook📉
Rate-cut playbook for all 16 investor typesRegime shift — re-validate every backtest assumption.
Evergreen Guide🛡️
Top 5 investor types that survive a crashOutlier regime — kill-switch first.
Seasonal Playbook🤖
AI bubble tactics for all 16 investor typesRegime shift — keep your rule base.
Demographic Map🧭
Which investor types are most common among Gen Z & Millennials?Backtesting is your asset — smartest setup in this cohort.
Retrospective Guide🪞
The decision each of the 16 investor types regrets most one year laterBoosting strategy capital from a single hot stretch.
Type vs Type⚔️
RDLC vs RILC: who builds the bigger fortune in 10 years?Same data DNA, different horizon and diversification.

Partner match

The type that balances you out.

🐢
PDLAThe Armored TurtleA diversified portfolio, marching slowly upward — always.

Calculated Aggressors

🦅RDLCThe Precision SniperOne target. Deep data. A steady trigger finger.🦉RDLAThe Asset ArchitectA global map of assets, drawn by data.🐆RDSCThe Quant SharpshooterReads the cracks between candles — strikes, collects, leaves.
←RDSCSee all 16 typesRILC→