What Is a Market Maker? How Do They Improve Market Liquidity by Providing Bid and Ask Quotes, and What Risks Do They Face?

In crypto markets, whether a trade can be executed quickly depends not only on the willingness of buyers and sellers, but also on whether sufficient liquidity is available in the market. Market makers are important participants in providing market liquidity, but they are not risk-free intermediaries who always make a profit.

First, what is a market maker?

Market makers typically provide ongoing buy and sell quotes, making it easier for other traders to find counterparti

My path from $1,000 to a million had barely begun before it was already over.

The main reason was that I made a profit on my first buy of $ZEC but didn’t sell. I wanted to hold on and see how far it could go, but… it just kept falling.

BTC and ETH may have fallen like this, but they couldn’t liquidate me, because there were plenty of chances along the way to trade my way back to breakeven. But my funds were tied up in ZEC, so there was nothing I could do.

In short: stay away from altcoins when trading futures.

(The first time I traded SanDisk, I also lost over $30,000. If the profits I ma

**$NBIS /USDT Perp – "Heavy Breakdown – Short"**
Short Trading Plan $NBIS
Entry: 130.20
SL: 142.03
TP1: 126.00
TP2: 118.81
NBIS plunged -16.96% from its high of 160.20. MACD is deeply bearish, with a retest of the 118.81 low in sight.

Pi is free, but time is not free. 5 years x 10 seconds a day = 5 hours of your life spent tapping. Is 5 hours worth maybe $50k? What's your hourly rate for tapping Pi? Let's calculate.
#PiNetwork
#ShareWeekly
#GateSquare
#WCTCS9

What Is Rolling Backtesting? Why Is One Out-of-Sample Test Still Not Enough to Prove a Strategy Is Reliable?

Passing a single out-of-sample test does not mean a trading strategy will remain effective in all market conditions. A particular period may happen to favor the strategy, so we also need rolling backtesting to observe its performance across different time periods.

First, what is rolling backtesting?

Rolling backtesting involves repeatedly using past data, in chronological order, to develop or optimize a strategy, then testing its performance on a subsequent period of data that was no

$AKE Keep half, wait for 100x, 100x,

the bottom! 💁🏻‍♂️

**$SNDK /USDT Perp – "Rejection Wick – Short"**
Trading Plan Short $SNDK
Entry: 955.71
SL: 966.34
TP1: 937.14
TP2: 923.82
SNDK rejected the 966.34 high and is falling back. MACD is rolling over bearish; targeting the 937.14 support area.

How can out-of-sample testing help prevent mistaking accidental patterns in historical market data for a lasting edge?

A trading strategy's strong performance in historical backtests does not mean it can adapt to future markets. To reduce the risk of overfitting, out-of-sample testing is a crucial step in validating a strategy.

First, what is out-of-sample testing?

Simply put, it means dividing historical data into different periods: one portion is used to develop the strategy and adjust its parameters, while another is excluded from optimization and reserved for evaluating how the strategy

$ENA Current price: 0.1367. The Bollinger midline at 0.1430 is the first resistance, while the lower Bollinger band at 0.1341 is short-term support. Compared with peers in the same sector, $ENA 's 24h decline of 3.39% is notably smaller than $ETH 's 5.71%, and its RSI of 39.7 is also higher than $ETH 's 26.9. Its relative resilience amid extreme fear (index: 20) is the key point to watch. Technically, MA5 at 0.1359 has moved above the current price and is approaching MA20 at 0.1385, with the moving averages converging ahead of a potential move. The MACD histogram has turned positive at +0.000

Steadily stacking wins, using stop-losses and not holding losing positions—doesn’t that deserve some support from my bros?

$USELESS coin is currently trading inside a BOX pattern, with resistance sitting at 0.147–0.15 and the support zone at 0.118–0.115.
Add this coin to your watchlist and set alerts at 0.15 and 0.115. If the price breaks out here, take a long or short position.
If 0.115 is lost, possible targets are 0.11, 0.107, 0.096, and 0.085.
In case the price reaches 0.15, possible targets are 0.156, 0.163, 0.175, and 0.19.

There is a chance of an oversold rebound at present. ETH can be entered directly, with a stop-loss at the previous low and a target risk-reward ratio above 1!

BTC’s latest decline took it straight to 69,000, the last line of defense for last quarter’s rally. ETH fell all the way back to its starting point at 1,900. I have to say, what we may need to rethink next is no longer whether this is a bull market! Six consecutive bearish weekly candles amount to a bear-market-level correction!

Pay close attention to the last two weeks of November. If a strong rebound does not materialize, the probabi

What Is the Sharpe Ratio? How Do You Measure Whether a Trading Strategy's Returns Are Worth the Risk?

In cryptocurrency trading, a high return does not necessarily mean a strategy is good. If a strategy can generate high returns but comes with sharp volatility and significant drawdowns, we need to assess further: are those returns worth taking on the corresponding risk? The Sharpe ratio is one tool that can help answer this question.

First, what is the Sharpe ratio?

The Sharpe ratio measures the excess return a portfolio or trading strategy earns per unit of volatility risk. In general, the

Jensen Huang resigns: the veteran trader with the biggest bet on Polymarket that he wouldn’t leave lost over $30k on this market. The new account registered in October that bet he would leave turned $6,000 into 40k🧐
I went back through the positions of both accounts.
The veteran had bought over $80k worth of “won’t leave” shares on this market. At 6 a.m. on the 12th, the news broke, and the odds of him stepping down jumped from 16% to 77% in an hour. He bought another $20k-plus worth during that hour.
Two hours later, he sold most of them at around 10 cents.
At 6 p.m., he bought in again, put

What Is Rolling Backtesting? Why Is Continuously Updating the Test Window More Informative Than Testing Just One Historical Period?

In cryptocurrency trading, a strategy may perform well in one period of historical market activity but fail to adapt to subsequent market changes. Testing only one fixed period can easily overlook how the strategy performs in different conditions. Rolling backtesting continuously updates the test window, helping traders evaluate a strategy’s stability more comprehensively.

First, what is rolling backtesting?

Rolling backtesting divides historical data into mult

Why does the same trading strategy stop working when market conditions change?

Some traders face a puzzling situation: the same entry signals repeatedly generate profits in an uptrend but lead to consecutive stop-losses in a ranging market. Just when they get used to range-bound conditions, a trend emerges and they frequently miss opportunities.

This doesn’t necessarily mean the strategy has suddenly stopped working. Market conditions may have changed.

First, trending and ranging markets call for different decision-making approaches.

In a market with a clear trend, prices are more likely t

$RARE Now aggressively shorting, later selling at $0.00078. Entry price: $0.00982. Short $RARE 🔥