How to build a trading cost accounting sheet to see your true profits?

Many traders review their trades every day, but may overlook one key question:

Your account appears to be making money, but how much is left after all costs are deducted?

Without complete trade records, you may know which trades made money, but not what is steadily eroding your profits.

Today, we’re sharing a trading cost accounting method you can put into practice right away.

I. Record every trade

We recommend creating an Excel spreadsheet that records at least the following information:

* Trade date and trading pai

$ONDO Short setup update: I placed a short in the 0.3517–0.3533 range. Price has now moved into this area, so I’m watching closely. If it breaks above 0.362, I’ll abandon the trade and exit immediately.
On the 4-hour chart, the current price of 0.352 is below the EMA50 (0.381), and the overall structure remains bearish. Current risk/reward: about 2.7% to the stop loss and about 4.4% to the third target. If TP3 is reached, that would be around 1.6R.
🔴 Direction: Short · Entry: 0.3517–0.3533 · Targets: 0.3467 / 0.3429 / 0.3371 · Stop loss: 0.3621
Next, either we drop cleanly from here, or we g

Why Can a Backtest Perform Well While Live Trading May Continue to Lose Money?

A trading strategy performs excellently on historical data, with a high win rate, a beautiful equity curve, and very low maximum drawdown.

But once deployed in real markets, the results are completely different: execution prices are poor, trading costs keep rising, returns gradually shrink, and losses may even continue.

Where exactly does the problem lie?

Often, it is not that backtesting has no value, but that we treat backtest results as a guarantee of live performance.

1. Backtesting Tests Historical Conditi

This Jensen Huang thing—are there Chinese spies this stupid?
Judging by other people’s revelations, it’s just an ordinary money-for-sex transaction
The woman smuggles chips and seduced Jensen Huang for profit
Americans habitually smear China
Conspiracy theorists are even bringing targeted social engineering into it🤣
#黄仁勋出轨

Why do many trading strategies perform consistently in backtests, only to suddenly fail in a different market?

A trading strategy may have generated consistent profits over the past few months.

It may perform well in trending markets, with a beautiful backtest curve. But when the market enters a choppy phase or liquidity suddenly drops, signals that once worked may start failing frequently.

At this point, many people’s first reaction is: Are the parameters poorly tuned?

But the problem may have nothing to do with the parameters. It may be that the market conditions the strategy relies on t

Why Aren’t Limit Orders Always Cheaper Than Market Orders?

Many traders believe that limit orders let them control the execution price, while market orders are prone to slippage, so limit orders must always be more cost-effective.

But in real trading, there’s an often-overlooked issue:

A better price doesn’t necessarily mean a better overall trading outcome.

To determine whether an order type is suitable, you need to consider not just the execution price, but also the probability of execution, the cost of waiting, and the cost of missing a trading opportunity.

I. The Biggest Advantage of

$JCT SHORT SETUP — 280% PUMP, NOW A MASSIVE REJECTION!

$JCT exploded nearly 280% in 24 hours, but the rally is losing momentum after a sharp rejection from 0.021060. Sellers are pushing price lower, raising the possibility of a deeper correction!

Entry: 0.010620
SL: 0.012200

TP1: 0.009000
TP2: 0.007800
TP3: 0.006223
Final Target: 0.005000

The massive rejection from 0.021060 has triggered aggressive profit-taking. Price is now forming lower highs, with buyers struggling to regain control. If selling pressure continues below 0.011786, $JCT could slide toward 0.009000 and potentially lower.

Jensen Huang posts admitting to an affair
And in response to national security concerns raised in news reports, NVIDIA's board has launched an independent investigation. Jensen Huang supports the investigation and is fully cooperating.
Trump just said in an interview, “Although I haven’t spoken with Jensen Huang, I think he’s a good person. I haven’t heard that he did anything wrong.”
First admit to the minor mistake of having an affair, then deny the major mistake of being a female spy, and finally get pardoned by Trump?

If drunk driving is illegal, why do cars come with bottle openers?

#美股AI板块遭遇重挫 #作手分析
$ANTHROPIC A long signal appeared for a right-side entry. I decided this morning to add to my position once more. The project will begin its IPO roadshow this week and will most likely list on Nasdaq by the end of this month. Taking a shot.

Why might a trading strategy's returns come from only a handful of trades?

A strategy has high cumulative returns and a decent win rate.

But if removing its most profitable trades turns the entire strategy from profitable to unprofitable, would you still consider it to have a stable trading edge?

This question is more worth exploring than simply looking at the rate of return.

I. First, see where the returns actually come from

Suppose a strategy completes 100 trades and ends up with a net profit of $1,000.

On the surface, the strategy is profitable.

But a closer breakdown reveals:

* The

Why Might a Trading Strategy’s Returns Come from Just a Few Trades?

A strategy has high cumulative returns and a decent win rate.

But if you remove the few most profitable trades and the entire strategy goes from profitable to losing, would you still consider it to have a stable trading edge?

This question is more worth exploring than simply looking at the rate of return.

I. First, See Where the Returns Actually Come From

Suppose a strategy completes 100 trades and ends up with a net profit of $1,000.

On the surface, the strategy is making money.

But a closer breakdown shows:

* The fir

$ZEC Will I be able to open this short position?😦

CPI and PPI hit next week! BTC’s real opponent may not be AI, but the Fed!

Tech stocks have just weathered a major shock, and before the crypto market could catch its breath, the next test is already on its way: U.S. CPI and PPI data are about to be released.
The market’s real focus this time may not be how many more chips AI companies will buy, but when the Fed will be willing to loosen its grip on the market.
Why are inflation data so important? Because CPI reflects changes in consumer prices, while PPI reflects changes in producer prices, and both affect market expectations for future inte

$JCT has fallen below the short-term support zone, and the funding rate is starting to reverse. Short, short, short🔥🔥Tp1: 0.01Tp2: 0.085Tp3: 0.06Sl: 0.0137$SKYAI $ON

#StakeOnLaunchpoolToShare450KVLX

‍$VLX

$ONE Short trade idea ‼️‼️

ONE has been weak recently, with feeble rebounds. I personally favor opening short positions on rallies.
Reference entry range: 0.001735 - 0.001750. Defense level (stop-loss): 0.001820. First target: 0.001650. Second target: 0.001550. Third target: 0.001400.
ONE has currently fallen about -15.25%, and bearish momentum is still unfolding. Consider taking profits in stages.
$ONE Futures
Risk warning: The above is solely my personal opinion and does not constitute investment advice. Futures trading involves extremely high risk; please be sure to manage your position si

11.9 $BTC Today’s outlook
After an overnight plunge and a wick down to 73333, an oversold rebound followed. The market is currently in a weak recovery phase. The larger-scale bearish trend remains intact, and further downside is expected after the rebound meets resistance. Focus on shorting rallies, with support-based short-term longs as a secondary strategy.
#BTCETF资金持续流出
Support: 74000-74200, 73300-73500
Resistance: 75200-75400, 75800-76000
Short: Enter in batches on a rebound into the 75200-75400 range, with a stop-loss at 76100 and a first target of 74200; if support breaks, look for 735