The core of reviewing cryptocurrency contracts is not simply to tally profits and losses, but to dissect each trade's "decision basis, market matching degree, operational loopholes, risk control issues," to find replicable profit logic, avoid repeated mistakes, and make each trade a reference for subsequent operations. The review must align with the characteristics of contract trading (leverage, funding fees, long and short directions, market easily influenced by news/spikes), with fixed processes, data recording, and targeted improvements. Below are actionable review steps, from basic accounting to advanced optimization, without detours.
Step One: Data-driven accounting, first calculate 'real profit and loss and trading costs' (5 minutes)
The 'surface profit' in contract trading is often eaten away by fees, funding costs, and slippage. In this step, set aside emotions and use hard data to objectively reflect trading efficiency, focusing on 6 key indicators. It is recommended to record these in a table (updated daily for easy weekly/monthly summaries):
1. Basic trading data: Number of trades opened that day, number of profitable trades, number of losing trades, win rate (number of profitable trades/total trades);
2. Core profit and loss data: Total actual profit and loss (after deducting all costs), average profit per trade, average loss per trade, profit/loss ratio (average profit per trade/average loss per trade);
3. Cost and risk data: Total fees + funding fees + slippage for the day, the cost as a percentage of total profit/loss, maximum unrealized loss/maximum realized loss, and whether the liquidation line (or margin warning) was reached.
Core focuses on two key points: ① If the cost ratio exceeds 30% of total profit/loss, it indicates that trading is too frequent or the selected contracts lack liquidity, requiring a reduction in the number of trades or a switch to mainstream contracts; ② If the profit/loss ratio is below 1.5:1, even with a high win rate, it will be difficult to profit in the long run, so adjustments to take-profit and stop-loss settings are required.
Step Two: Break down each trade to restore the entire operation process (core steps, 20-30 minutes)
Break down each contract trade of the day (going long/short, closing positions, increasing/decreasing positions) individually. Do not avoid losses or beautify profits. For each trade, answer the following 6 questions to find out 'where the decisions were right or wrong':
General decomposition questions (applicable to both long and short positions)
1. What is the basis for entering a position? (Must be specific, refuse 'feelings' or 'bullish/bearish'): Is it technical analysis (indicator crossovers, key support/resistance levels, trend breakouts), news (macro policy/regulation/institutional news), market sentiment (high/low funding rates, overall long/short ratio), or just following the crowd?
2. Do position and leverage comply with the rules?: Is the position at entry exceeding your defined risk control line (e.g., no more than 5% of total funds per trade), and does the leverage match the market (1-3x in a range-bound market, 3-5x in a trending market, and are you misusing high leverage)?
3. Are stop-loss/take-profit settings reasonable?: Is the stop-loss set based on key support/resistance, or is it arbitrarily defined? Is the take-profit based on target levels, or is it closed early/held until a passive take-profit? Is the space for stop-loss/take-profit suitable for the volatility of the asset (e.g., for BTC in a range-bound market set stop-loss at 1%-2%, for ETH set at 2%-3%)?
Decomposing closure issues
1. Is closing a proactive decision or a passive trigger?: Is it an automatic closure upon reaching the take-profit/stop-loss level, or emotional closure (running away after making a small profit, holding onto a loss until forced to stop-loss), or getting stopped out by a market spike?
2. Did you modify the strategy midway?: Were there any operations that deviated from the original strategy such as 'cancelling stop-loss after seeing the market turn', 'greedily increasing leverage after making a profit', or 'averaging down to dilute costs after a loss'?
Marking rules: After each trade, note the 'reasons for profit' and 'reasons for loss', and only write specific reasons without seeking objective excuses (for example, for a loss, do not write 'market spike', but instead write 'stop-loss was set too close, did not allow for market fluctuations'/'entered without a clear basis, followed the crowd and got stopped out by a spike').
Step Three: Review the market matching degree, validate the 'fit between decisions and the market' (10 minutes)
The core of contract profitability is strategy adaptation to the market. In this step, compare your trading decisions with the actual market conditions of the day to identify 'your judgment deviations about the market', and adjust strategies to follow the market rhythm, focusing on three key points:
1. What is the core driver of the market today?: Is it macro news (Federal Reserve speeches/inflation data), industry news (regulation/institutional actions), funding (mass liquidations/ETF fund inflows), or purely technical trend/fluctuation? Is the overall market trending up/down or range-bound?
2. Is your trading strategy compatible with the current market conditions?: For example, using trend trades in a range-bound market (frequently selling high and buying low gets stopped out), or using range trades in a trending market, or opening counter-trend trades during news-driven rapid rises/falls. These are all mismatches between strategy and market, which are core loss points;
3. Are the key levels judged accurately?: Are the entry/stop-loss/take-profit levels you've set aligned with the actual support/resistance levels of the market today? (For example, if you think 95000 is a resistance level for BTC and open a short, but the market breaks through 95000 and continues to rise, it indicates that your judgment of the resistance level ignored the factors of 'volume/news').
Core conclusion: Mark the strategy that best fits the current market conditions (e.g., 'Sell high and buy low in a range-bound market + 1x leverage', 'Go long in a strong upward market with 3x leverage, setting stop losses at key support levels'), and prioritize using the fitting strategy while temporarily suspending mismatched strategies.
Step Four: Attribution analysis, distinguishing between 'subjective errors and objective factors' (5 minutes)
The key to reviewing is to grasp controllable subjective issues and let go of uncontrollable objective factors. Market spikes and black swan news (e.g., sudden regulations) belong to objective factors and do not need to be dwelled on; however, your operational flaws, strategy flaws, and emotional issues are subjectively controllable and are the core issues to be solved in the review. Classify all problems of the day into three categories and sort them by 'frequency of occurrence':
1. Decision-making errors: Entering without a clear basis, misjudging market trends, errors in analyzing key levels;
2. Operational errors: Emotional closures, last-minute modifications to stop-loss/take-profit, holding positions, frequent trading, high slippage/fees;
3. Risk control errors: Overleveraged positions, excessive leverage, failure to set stop-losses, insufficient margin approaching liquidation.
Core: Only focus on the key errors that occurred two or more times that caused significant losses as the main points for future improvements. Don’t be greedy; change only 1-2 issues at a time to avoid difficulties in implementing changes after review.
Step Five: Develop a trading plan for the next day, transforming review results into 'executable rules' (10 minutes)
Reviewing is not just about summarizing the past; it is to guide the future. In this step, based on the problems and market judgments from the review, establish a clear, actionable trading plan for the next day, avoiding vague statements. The plan should contain four parts, and the more specific, the better:
1. Market prediction: Combine the day’s market and important news in the evening/tomorrow (e.g., Federal Reserve speeches, inflation data), to predict that the next day’s market will likely be range-bound or trending, and what the key support/resistance levels are;
2. Strategy and entry rules: Clarify what strategy to use the next day (e.g., 'Range-bound market between 94000-96000, sell high and buy low, 1x leverage'), and the clear basis for entry (e.g., 'Go long when breaking above 96000, short when falling below 94000, do not enter if there’s no breakthrough/breakdown');
3. Hard risk control rules: Clearly define the maximum position size per trade, leverage multiples, and standards for stop-loss/take-profit settings (e.g., 'single position not exceeding 3% of total funds, maximum leverage 3x, stop-loss set 1% outside key support/resistance');
4. Avoid pitfalls: For the day’s core mistakes, establish 'prohibitive rules' (e.g., 'do not cancel stop-loss orders at the last minute', 'do not enter trades without a clear basis', 'do not exceed 5 trades to avoid frequent operations increasing costs').
Step Six: Key points to note in contract reviews: Avoid formalism and let the review truly take effect.
1. Fixed time review: Choose after the market closes for the day (e.g., 2-3 AM, as the crypto market is highly volatile at night, review after closing), complete within 30-60 minutes, as trading memory is clearest at this time to avoid forgetting details later;
2. Use fixed tools for recording: It is recommended to use Excel/spreadsheet apps to create review tables (fill in daily), summarizing data weekly/monthly to observe changes in win rates, profit/loss ratios, and cost ratios, validating the effects of improvement;
3. Do not avoid losing trades: Losing trades have more review value than profitable ones. For profitable trades, confirm 'is the profit due to strategy or luck' (for example, a profitable following trade does not mean the strategy is effective, and such profits are not replicable, so be cautious);
4. Avoid excessive review: Don’t get stuck on individual trades, such as a trade that lost due to a black swan event. There’s no need to dwell on it; just confirm whether you managed risk properly and didn’t get liquidated by the black swan.
5. Adhere to contract characteristics: Focus on funding fees, delivery periods, and the overall long/short ratio during reviews (e.g., when perpetual contracts have excessively high funding fees, does going against the trend with a short get eroded by funding fees, and do you need to adjust the timing of entries later);
6. Regularly backtest strategies: Weekly, based on daily review data, backtest your core strategies (e.g., 'selling high and buying low in a range-bound market') to see their profit efficiency in different market conditions, eliminate ineffective strategies, and optimize effective ones.
The core principle of reviewing: simplicity and continuous iteration
There’s no need to pursue complex analytical models; the crypto contract market changes rapidly. The key to reviewing is the closed loop of 'recording - summarizing - improving - validating': problems discovered today should be avoided by rules tomorrow; effective strategies validated today should continue to be used and optimized tomorrow. By sticking to this for 1-2 weeks, you’ll clearly see your trading become less blind, with entries based on rationale, risk control based on rules, and you can accurately keep pace with the market rhythm rather than being led by market movements.
Subsequently, you can conduct weekly/monthly reviews based on this: summarize daily data to observe changes in win rates, profit/loss ratios, and cost ratios, validate improvement effects, while also identifying your profit advantages (e.g., 'good at selling high and buying low in a range-bound market'/'good at capturing macro news-driven trending markets'), focusing on advantageous strategies and abandoning trading types you are not good at to stabilize profits.
Content is for reference only and does not constitute investment advice!
