Deepayan Turja

In 2020, I was left with just $183 in my Binance account, after a journey that started with $3,000 and had once reached a peak of $100,000. But crypto trading is unforgiving, and the markets slowly eroded my gains until I had almost nothing left. Throughout that time, I’d stuck to a habit that may have saved me—transferring $1 daily to a separate fund account. Even when my trading capital dwindled, I kept up with that $1 transfer every day. It wasn’t much, but it was a way to feel like I was still making progress, even in the smallest way. Four years later, that habit has become second nature, and now I transfer $5 a day.
During that period, everything seemed to be unraveling, not just my trading account. At home, I felt isolated—no one seemed to care, no one checked in, and just when things hit rock bottom, my girlfriend left. She took one of my phones, which had crypto stored on it, though I doubt she knew how to access it. She mostly used that phone to play games. Losing her was harder to take than losing my capital; she disappeared a month before my account hit zero, leaving me not only broke but alone. I was living in Shanghai at the time, waiting on a visa that kept getting delayed. Those who were in Shanghai in 2020 would understand—it was a chaotic year, full of lockdowns and restrictions. The embassy was processing visas slowly, and life felt as though it was at a standstill. I realized I needed to get away and clear my mind, so I decided to go to Lingyan Mountain and stay at a Buddhist temple there.
I ended up spending three months at the temple. Those months were tough. I went there hoping for some kind of clarity, or even enlightenment—some breakthrough that would put my life back on track. But it wasn’t like that at all. Life at the temple was about endurance and routine, not miraculous awakenings. I kept waiting for some sign or feeling of transformation, but nothing came. I had to find peace slowly, day by day. The monks didn’t talk much, but they welcomed me in silence, sharing their simple meals and daily rituals. Gradually, my body started to feel better. I gained weight, my hands stopped trembling, and I cut down on smoking and drinking. Without the constant urge to check my phone, my mind became quieter. My future still seemed uncertain, and I was holding onto that $183 without any real idea of what to do next.
Before I left, one of the senior monks gave me some parting words: “Go as you came.” It felt cryptic, and I didn’t understand it fully then, but those words stayed with me. I realized it wasn’t about leaving the mountain transformed; it was about finding the strength to face life again, just as I was. When I left, I downloaded Binance again and decided to start fresh with what little I had left. I wasn’t sure what the future held, but I knew I had to give trading another try, this time with a new mindset.
Here’s how I restructured my entire approach and how I made it through:
1. Focus on a Core Group of Cryptocurrencies
I realized that chasing every new coin was a recipe for disaster. Instead, I chose to focus on a handful of assets: BTC , ETH , BNB , #SOL , and #DOGE . Over time, I reduced it further, until now I primarily trade only BTC and ETH. This narrowed focus allowed me to study their patterns, understand market sentiment better, and stay disciplined. Jumping from coin to coin had led to poor decisions in the past, but this time, I was committed to staying patient with just a few assets.
2. Build a Strict Daily Routine
I established a routine to keep myself grounded. Every day, I wake up at 6:30 AM, take a cold shower, and do a morning exercise. The cold showers, especially during winter, were hard at first but quickly became essential for staying alert and clearing my mind. It was a way to start the day with discipline, and I noticed it sharpened my focus before I even sat down to trade.
3. Begin Each Day Outside the House
I found that trading at home created a lot of mental clutter. Instead, I started each day by heading out, usually stopping by KFC for a coffee to kickstart my morning. This separation helped me treat trading as a job, with clear boundaries. I made a rule never to open any trading software at home. It kept me disciplined and prevented those impulsive trades that had cost me so much in the past.
4. Trade with Low Leverage and Take Gradual Long Positions
One of the biggest lessons I learned was to avoid high leverage. I began focusing on low-leverage long positions, aiming for slow, steady growth rather than quick gains. I rarely went short, except in specific situations, like after major price rises. For example, I started shorting cautiously around $71,000, and I first tested this around $69,500, using stop-losses at each stage. When I saw an opportunity, I would add to the position gradually, letting my profits run instead of closing too soon. I found it essential to stick to the plan and avoid adding positions impulsively.
5. Implement Rigorous Risk Management and Hedging with Options
Hedging became a cornerstone of my strategy. When I had a strong directional prediction, I’d open a hedge position, using options at major resistance levels. For example, if the trend started reversing near resistance, I’d raise my take-profit and let the hedge run. I would also do “T” trades (short-term trades for quick profits), but this was something I practiced only after gaining experience. For new traders, I wouldn’t recommend this, as it’s risky without a clear understanding of the market.
6. Take Cooling-Off Periods After Each Market Cycle
After each big cycle, I’d take a half-month break. During this time, I’d switch to a phone with no trading apps, creating a complete disconnect from the markets. This cooling-off period kept me from making impulsive trades during moments of excitement or panic. After significant wins, it’s easy to lose perspective, but by taking these breaks, I could approach the market with a clear head once I returned.
7. Maintain the Habit of Daily Transfers and Structured Withdrawals
Throughout these years, I kept up the habit of transferring money daily into my fund account. Initially, it was $1, but I gradually increased it to $5 a day. Additionally, I followed a strict rule to withdraw 20% of profits to buy in the spot market. This helped diversify my holdings and allowed me to accumulate some spot positions, which I would hold for the long term. Some of these spot trades ended up at a loss, while others multiplied several times over. I would usually take out the principal once I was in profit, then set multiple take-profit orders at different levels, like 2x, 3x, 4x, and 5x. Even if some of these positions faced big drawdowns, I stayed patient and held on, only selling if they hit a pre-set stop-loss.
Looking Back and Moving Forward
Through four years of sticking to this disciplined approach, I’ve managed to avoid blowing up my account. My spot holdings have provided about 40% of my total profits, while my main gains came from trading contracts. If there’s one thing I’d say to anyone with only a small amount left—like $100 or $200—it’s this: step back, refine your mindset, and build a structured trading system. It’s not about making a million overnight. If you focus on steady, controlled growth, you can turn that small sum into something significant over time.
In this journey, I learned that patience, discipline, and self-control matter more than any quick strategy. It took four years of building habits, managing risk, and following a structured plan, but now I know it’s possible to climb back, even from just $183. It’s not an easy path, but if you’re willing to commit, that long-term approach is everything.
N.B: IF MY POSTS HELP YOU TO GROW YOUR DREAMS THEN REMEMBER THAT EVERYONE LOVES 🎉 ! IT WOULD SURELY KEEP ME MOTIVATED TO SHARE EVERYTHING I KNOW AND CONSTANTLY REMIND ME THAT I HAVE A NOBLE DUTY TO HELP YOU TO ACHIEVE YOUR GOALS AS SOUNDLY AS POSSIBLE. ❤️
SUPPORT THE GOOD WORK. 🍁
#NEIRO #MASK #FLOKI
$BTC
$ETH
$BNB

The first thing to understand is that a market is the place where individual buying and selling of a specific asset takes place—in other words, where ownership changes hands and where new contracts are created based on those transactions or existing contracts are transferred between participants.
For example, simply saying “the cryptocurrency market” does not tell us much. It is an extremely broad and ambiguous term. Instead, each individual cryptocurrency should be treated as having its own distinct market.
For example:
BTC Market
ZEC Market
ETH Market
The data for each market is different, and therefore the analysis and the outcome of that analysis can also be completely different. This distinction needs to be understood clearly.
What Does Market Data Analysis Actually Mean?
I will briefly list the minimum components involved in market data analysis. Each of these points contains many additional factors that are equally important. Those will be discussed in detail at a later stage.
Market data analysis does not simply mean looking at a chart and guessing whether the price will move up or down. It is also not simply about drawing lines, patterns or other visual structures on a chart.
Rather, it is about using data to understand how market makers and large market participants hunt liquidity, open and close contracts, transfer positions and attempt to move the spot price in their favor.
To understand this process, some of the key areas that need to be monitored include:
1. Spot, Derivatives and Core Spot Market Data
This is extremely important. The relationship and divergence between spot and derivatives activity can provide valuable information about what is actually happening in the market.
2. Order Flow and Volume
Where reliable data is available, order flow and volume can help identify actual buying and selling pressure.
3. Order Blocks and Imbalances
Understanding where significant orders may be concentrated and where imbalances between buyers and sellers are developing.
4. Liquidity Levels
Identifying where liquidity is concentrated and where significant positions or orders may be vulnerable to being triggered or liquidated.
5. Time and Market Sessions
The timing of a move and the market session in which it occurs can also be important.
6. Multi-Timeframe Alignment
Analyzing how different timeframes align with or contradict one another.
7. Market Sentiment Data
Understanding overall market sentiment, positioning and the willingness of participants to take risks.
8. On-Chain / Off-Chain Asset Flow Data
Where applicable, analyzing both on-chain and off-chain asset flows can provide additional insight into market activity.
9. Tokenomics
For tokenized assets, factors such as supply, unlock schedules, issuance, distribution and other tokenomic variables should also be considered.
10. Market Structure
This is one of the least important factors on the list, yet it is what most traders tend to focus on the most.
Market structure certainly matters. However, giving it excessive importance can increase the probability of falling victim to market manipulation.
Why?
Because a significant part of the market game involves breaking market structure, taking liquidity and facilitating the transfer of positions and contracts.
Many traders see a particular structure and become convinced that the market must move in a certain direction. Large market participants can potentially exploit these expectations by using those predictable levels as liquidity.
As a result, what appears to be a "perfect" breakout or breakdown can sometimes be part of a liquidity hunt rather than the beginning of a genuine trend.
That is why market structure should not be analyzed in isolation. It should be evaluated alongside spot data, derivatives data, liquidity, order flow, volume, positioning, sentiment and other relevant market data.
The most important point is this:
Do not focus only on what the chart appears to be showing. Try to understand what is actually happening behind the chart.
These topics will be discussed in much greater detail at a later stage. 🍁
©️ Deepayan Turja
$BTC
$ETH
$BNB
#BTC #ETH #BNB #ZEC #SOL

Most traders are taught that profit-taking is a matter of technical analysis — resistance levels, Fibonacci extensions, moving averages, or predetermined risk-reward ratios drawn on a chart. This article presents a different philosophy. It rejects traditional technical analysis entirely and instead focuses on real-time market microstructure and positioning data as the primary tools for deciding when to exit a trade.
There is no single "best" method for taking profit. The right approach depends heavily on the timeframe of the trade.
Short-Term Trades: Order Flow and Order Book Data
For short-term trades (scalps and intraday positions), the most reliable signals come from order flow and the order book, using both spot and futures markets in combination.
Order flow reveals the actual aggression of buyers and sellers in real time. Large market orders hitting the book, rapid absorption of liquidity, or sudden shifts in delta (the difference between aggressive buying and selling) often signal that a move is losing momentum. Watching these changes allows a trader to exit while liquidity is still available rather than waiting for a chart pattern to complete.
The order book itself provides additional context. Stacked bids or offers, spoofing patterns, and the speed at which liquidity is pulled or replenished can indicate whether a price level is likely to hold or break. Comparing the spot order book with the futures order book is particularly useful. Divergences between the two markets frequently appear just before short-term reversals or accelerations.
In practice, this means watching for:
- Exhaustion in aggressive order flow after a strong move
- Liquidity walls that begin to thin or get absorbed
- Shifts in the balance between spot and futures positioning
These signals are dynamic. They do not rely on historical price patterns. They reflect what is happening in the market right now.
Long-Term Trades: Liquidation Heatmaps and Market Condition Data
For longer-term positions, the focus shifts from immediate order flow to broader positioning and market structure data — specifically liquidation heatmaps and overall market conditions.
Liquidation heatmaps show where leveraged traders are clustered. High concentrations of long or short liquidations often act as magnets for price. When price approaches these zones, the potential for cascading liquidations increases. A trader holding a longer-term position can use these areas as logical places to scale out or fully exit, because the forced buying or selling that occurs during liquidations can create sharp, temporary moves.
Market condition data adds another layer. This includes funding rates, open interest trends, volatility regimes and the overall risk appetite in the market. Elevated funding rates combined with rising open interest, for example, often signal overcrowded positioning that is vulnerable to a reversal. Conversely, depressed funding and declining open interest can indicate that a move still has room to run.
These tools do not predict exact turning points. They highlight areas where the probability of a significant reaction increases due to forced market activity and shifting sentiment.
Why Avoid Technical Analysis?
Traditional technical analysis relies on historical price patterns and lagging indicators. While these tools can be useful for some traders, they are secondary to the actual flow of orders and the positioning of leveraged participants. Price patterns are the result of order flow, not the cause of it. By focusing directly on the underlying activity — who is buying and selling aggressively, where liquidations are stacked, and how market conditions are evolving — a trader can respond to the market as it is rather than as it appears on a chart.
This approach requires continuous attention to live data rather than static levels drawn in advance. It is more demanding in the short term but removes the need to interpret subjective chart patterns.
Profit-taking is not a single technique. Short-term trades benefit most from real-time order flow and order book analysis across spot and futures. Longer-term trades are better served by monitoring liquidation levels and broader market conditions. In both cases, the emphasis remains on observable market activity rather than traditional technical analysis.
The goal is simple: exit when the data shows that the current move is losing force or that a high-probability reaction zone is approaching — not because a line on a chart says so. 🍁
©️ Deepayan Turja
$BTC
$ETH
$BNB
#BTC #ETH #BNB #SOL #ZEC