Long Trade on POPCAT 09 Jun 2025 at 21:52:40
Take profit at 0.4013 (1.21 %) and Stop Loss at 0.3933 (0.81 %)
Long Trade on POPCAT
The 09 Jun 2025 at 21:52:40
With 2485.0456 POPCAT at 0.3965$ per unit.
Position size of 985.3206 $
Take profit at 0.4013 (1.21 %) and Stop Loss at 0.3933 (0.81 %)
That's a 1.5 RR TradeResults
Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.55
Prediction Score: 2.6562
| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.67 |
| Prediction 2 | Probability |
|---|---|
| 2 | 0.49 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.512429 |
Signal
CatchTheWave Signal - buy
Indicators:
- long_trend: 1
- short_kc: True
- short_kc_percentage: 0.03
- atr: 0.002146171214
Details
- score: 2.03
- 1H
- ema9 : 0.396091
- ema21 : 0.385914
- ema50 : 0.37276
- ema100 : 0.361532
- price_ema9_diff : 0.00103219
- ema9_ema21_diff : 0.0263699
- ema21_ema50_diff : 0.0352877
- price_ema100_diff : 0.096719
- all_emas_in_trend : True
- all_emas_and_price_in_trend : True
- rsi : 0.612635
- kc_percentage : 0.78411
- kc_width_percentage : 0.0877737
- volume_ema_diff : 0.159993 ¸
- 15m
- ema9 : 0.401001
- ema21 : 0.400231
- ema50 : 0.393225
- ema100 : 0.38429
- price_ema9_diff : -0.0112253
- ema9_ema21_diff : 0.00192284
- ema21_ema50_diff : 0.0178181
- price_ema100_diff : 0.0317701
- all_emas_in_trend : True
- all_emas_and_price_in_trend : False
- rsi : 0.488862
- kc_percentage : 0.260016
- kc_width_percentage : 0.0411437
- volume_ema_diff : -0.141697 ¸
- 5m
- ema9 : 0.399462
- ema21 : 0.401
- ema50 : 0.401127
- ema100 : 0.398792
- price_ema9_diff : -0.00741569
- ema9_ema21_diff : -0.00383501
- ema21_ema50_diff : -0.000318512
- price_ema100_diff : -0.0057476
- all_emas_in_trend : True
- all_emas_and_price_in_trend : True
- rsi : 0.362421
- kc_percentage : -0.0320698
- kc_width_percentage : 0.0209605
- volume_ema_diff : 0.517911 ¸
- btc_indicators
- btc_indicators
- 5m_ema100:
109459
- 5m_price_ema100_diff:
0.00248605
- 5m_price:
109732
- 5m_correlation_with_coin:
0.512429
- btc_indicators
- 15m_ema100:
107972
- 15m_price_ema100_diff:
0.0165539
- 15m_price:
109760
- btc_indicators
- 1H_ema100:
105656
- 1H_price_ema100_diff:
0.0385703
- 1H_price:
109732
¸
Market Structure
Market Structure Score: 0
📌 Time Data
| Start at | Closed at | Duration |
|---|---|---|
| 09 Jun 2025 21:52:40 |
09 Jun 2025 23:15:00 |
1 hour |
📌 Entry & Exit
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.3965 | 0.3933 | 0.4013 | 1.5 | 0.04986 |
Details
Click the "Sign Up" button in the top right corner and follow the registration process.
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
- Entry 0.3965
- Stop Loss: 0.3933
- Take Profit: 0.4013
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 0.3933 - 0.3965 = -0.0032
-
Récompense (distance jusqu'au take profit):
E - TP = 0.3965 - 0.4013 = -0.0048
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0048 / -0.0032 = 1.5
📌 Position Size
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 985.3206 | 100 | 2485.0456 | 9.85 |
Details
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
- Account Size 100
- Risk per trade 8 %
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
- Risk Amount 8
- Distance Stop Loss -0.0032
Taille de position = 8 / -0.0032 = -2500
Taille de position USD = -2500 x 0.3965 = -991.25
Donc, tu peux acheter -2500 avec un stoploss a 0.3933
Avec un position size USD de -991.25$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2500 x -0.0032 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2500 x -0.0048 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
- Taille de position -2500
- Taille de position USD -991.25
- Perte potentielle 8
- Gain potentiel 12
- Risk-Reward Ratio 1.5
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 1.21 % | 11.93 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.81 % | 7.95 $ |
| PNL | PNL % |
|---|---|
| -7.95 $ | -0.81 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.8323 % | 0 % | 0 |
📌 ML Extra Data
Extra TP Data
Array
(
)
Extra SL data
Array
(
[1.1] => Array
(
[take_profit] => 0.4013
[entry_price] => 0.3965
[stop_loss] => 0.39298
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-09 23:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.4013
[entry_price] => 0.3965
[stop_loss] => 0.39266
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-09 23:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.4013
[entry_price] => 0.3965
[stop_loss] => 0.39234
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-09 23:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.4013
[entry_price] => 0.3965
[stop_loss] => 0.3917
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-09 23:40:00
[result] => loss
)
)
Extra Pullback data
Array
(
[short_term] => Array
(
[max_gain] => 0.0026
[max_drawdown] => 0.0055
[rr_ratio] => 0.47
[high] => 0.39910000
[low] => 0.39100000
[mfe_pct] => 0.66
[mae_pct] => 1.39
[mfe_mae_ratio] => 0.47
[candles_analyzed] => 24
[start_at] => 2025-06-09T21:52:40-04:00
[end_at] => 2025-06-09T23:52:40-04:00
)
[long_term] => Array
(
[max_gain] => 0.0026
[max_drawdown] => 0.009
[rr_ratio] => 0.29
[high] => 0.39910000
[low] => 0.38750000
[mfe_pct] => 0.66
[mae_pct] => 2.27
[mfe_mae_ratio] => 0.29
[candles_analyzed] => 72
[start_at] => 2025-06-09T21:52:40-04:00
[end_at] => 2025-06-10T03:52:40-04:00
)
[breakout] => Array
(
[high_before] => 0.41040000
[high_after] => 0.39910000
[low_before] => 0.39640000
[low_after] => 0.38750000
[is_new_high] =>
[is_new_low] =>
)
)