[CONSOLIDATED] Cashflow202's Trading Journal

Cashflow202

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Balance 13k now.

Hedging grows the balance rapidly, however balance growth must hedge beyond the unrealized losses to score net gains.

As hedging = locking the unrealized difference in stasis
 

cosmothecat

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Balance 13k now.

Hedging grows the balance rapidly, however balance growth must hedge beyond the unrealized losses to score net gains.

As hedging = locking the unrealized difference in stasis
Buy $13k Toto tickets

next Monday go collect $5 million
 

Hyruga

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Cashflow202

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today with gold volitility, i spotted another bug with the hedging and main algo (conflicted)

which when volitlity happens, the main algo tp was hit which left the hedging side empty until refill, however in volitility events the refill is done at market which erodes free margin.

this happened with gold today when it dropped $100 thereabouts in minutes.

have done some update to code on cny day 1, and will continue to monitor. the dissappointment is in getting time rugged (2~ weeks of gains)
 

Cashflow202

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algo update done.

fixed a couple of gut feeling bugs, iterated through backtesting.

should be stable with no over runs on hedging.

hedging itself will be a revenue generation activity (once locked in hedge) and gap reducing (aka deleveraging) algo that works between the underwater longs and underwater shorts.

closing in on the gap with offset, so that the rebalancing (heding is always tilted) and with each bounce the higher side reduces.

eg.

xauusd long 0.08lots, short 0.10lots
heding rebalance +0.01 to long = 0.09 lots to short 0.10

when chart bounces down L = 0.09, short = 0.07. short rebalances to 0.08

lorum ipsum chart bounces up L = 0.05, short = 0.08, L topup to 0.07.

as you would realize with each bounce, the hedge side becomes the bigger lot, and overall reducing activity.


only complaint doing it on cny day 1

or read the chatgpt explaination below


Full Update: Hedge Compression Engine + Background


Several people asked whether this system is something famous traders use, and how it actually fits into broader trading theory.


Let me answer that properly.


First — no, you won’t find a well-known discretionary “guru” publicly teaching this exact structure.


However, the principles behind it are not new.


What this system combines are ideas that have existed in professional trading for decades:


  • Market-neutral hedging
  • Mean reversion / spread compression
  • Volatility harvesting
  • Inventory rebalancing (market maker style)
  • Statistical convergence

Many institutional desks operate on similar mechanics — just expressed differently.


Market makers constantly rebalance inventory around a midpoint.
Stat-arb desks trade convergence between spreads.
Delta-neutral options traders rebalance to harvest gamma.
Some prop desks run structured grid or compression models inside defined ranges.


The difference here is implementation:
This structure applies symmetric hedge compression between underwater averages in a retail FX/CFD environment with residual tilt logic and inside-gap engagement.


So it’s not a “new theory.”
It’s a structured application of known mechanics.




How It Works Conceptually​


Once both longs and shorts exist at different underwater averages, there is a defined price band between them.


Inside that band, price oscillates.


The system:


  1. Rebalances the smaller side toward the larger side.
  2. Always leaves a small residual difference (e.g., 0.01 lot).
  3. Places the first rebalance slightly inside the gap (5 pips offset).

This creates an inward bias.


Each oscillation:


  • Reduces the temporarily dominant side.
  • Tops up the smaller side.
  • Gradually compresses imbalance.

Over time, if price remains bounded and continues oscillating, the imbalance trends toward the residual.


In theory, under continued bounded oscillation, imbalance converges:


If Dₙ is imbalance at cycle n,
then Dₙ₊₁ < Dₙ,


approaching the residual r.


In practical terms:
Repeated mean reversion + asymmetric rebalance = contraction.


That’s the compression engine.




Does It Outperform the Locked Unrealized?​


Under oscillating conditions, it can.


Because:


  • Realized gains accumulate on each reduction of the dominant side.
  • The underwater gap tightens.
  • Net exposure shrinks.

If volatility continues without runaway trend, the structure can eventually compress to near-flat and resolve itself.


However — and this is important —


If price trends aggressively without oscillation:


  • Compression pauses.
  • The hedge remains locked.
  • Revenue generation slows.

This is not a magic drawdown eraser.
It is a structured volatility-harvesting system.




Why You Don’t See Famous Traders Publicly Using This​


There are reasons:


  1. It requires strict risk control.
  2. It performs best in oscillating markets.
  3. Without capital discipline, grid-style compression can become dangerous.
  4. It is operationally complex.

Professional implementations usually layer on:


  • Volatility filters
  • Regime detection
  • Position caps
  • Capital allocation logic
  • Dynamic exposure scaling

Without those, any compression model can fail under extreme trend conditions.




Final Thoughts​


This approach is closer to how a market maker thinks than how a directional trader thinks.


It assumes markets oscillate more than they trend.
It works the range rather than predicting breakout.
It compresses rather than chases.


Is it famous?


No.


Is it structurally grounded in professional trading mechanics?


Yes.


Still refining, still testing, but mathematically and structurally it now behaves as intended.


And yes — most of this stabilization work happened on CNY Day 1 😅
 
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Cashflow202

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in terms of demo tester, color looking very healthy.

for algo main, still suffered losses today due to tight portfolio conditions (still above 10k now which is good, was at 16k) so drawdown quite a portion due to gold volitility but nevertheless still above the recent lowest of 3k balance.

https://www.myfxbook.com/portfolio/algo-tester/11931536
in terms of color on the demo tester, no complains

odpfJJn_xl.png
 

Cashflow202

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balance back at 13k

for the hedging algo, one of the discovery (or rather it's greatest archillis heel)

is that when a symbol trends on a single direction, it generates volume but also trends the gap width between underwater long and underwater short.

and when that happens it draws on the free margin.

trend hedging is also risky as eg. when rsi is 80 it can still trend upwards and when the eventual gap down happens, the gap is widen.

ctrader has doubling function which doubles the opposite directional to gap up.

however that is not visible on coding layer.

so it presents a unique problem in a sense that hedging is great.

but without hedging is better.

however without hedging similar situation can happen where a trade is unhedged and can runaway.

and whilst stoploss is a good tool to have, it can also be the greatest archillis heel to a 91% win rate Algo.

however 91% win rate also means the following

with a 5:1 r:r

pf should be 2

however without the r:r limitation pf is >10

hmmm hmmmm



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Cashflow202

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and by typing out the idea articulating, I just come to a solution.

hedging unrealized vs profit generated in bouncing.

when profit is above the unrealized from the bouncing activity. close the hedging and realize the profit, and take out the position




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