Short Trade on KERNEL 03 Aug 2025 at 14:20:57
Take profit at 0.1836 (0.65 %) and Stop Loss at 0.1856 (0.43 %)
Short Trade on KERNEL 03 Aug 2025 at 14:20:57
Take profit at 0.1836 (0.65 %) and Stop Loss at 0.1856 (0.43 %)
Position size of 1830.9686 $
Take profit at 0.1836 (0.65 %) and Stop Loss at 0.1856 (0.43 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.92 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.65 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.68 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.354797 |
Indicators:
113857
0.00177004
114058
0.354797
113524
0.00470658
114058
114808
-0.00653538
114058
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 03 Aug 2025 14:20:57 |
03 Aug 2025 14:25:00 |
4 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1848 | 0.1856 | 0.1836 | 1.5 | 0.08624 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.1856 - 0.1848 = 0.0008
Récompense (distance jusqu'au take profit):
E - TP = 0.1848 - 0.1836 = 0.0012
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0012 / 0.0008 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1830.9686 | 100 | 9907.839 | 18.31 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / 0.0008 = 10000
Taille de position USD = 10000 x 0.1848 = 1848
Donc, tu peux acheter 10000 avec un stoploss a 0.1856
Avec un position size USD de 1848$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 10000 x 0.0008 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 10000 x 0.0012 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.65 % | 11.89 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.43 % | 7.93 $ |
| PNL | PNL % |
|---|---|
| -7.93 $ | -0.43 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4329 % | 100 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1836
[entry_price] => 0.1848
[stop_loss] => 0.18568
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-03 14:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1836
[entry_price] => 0.1848
[stop_loss] => 0.18576
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-03 14:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1836
[entry_price] => 0.1848
[stop_loss] => 0.18584
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-03 14:25:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1836
[entry_price] => 0.1848
[stop_loss] => 0.186
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-03 14:25:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => -0.0008
[max_drawdown] => 0.0074
[rr_ratio] => -0.11
[high] => 0.19220000
[low] => 0.18560000
[mfe_pct] => -0.43
[mae_pct] => 4
[mfe_mae_ratio] => -0.11
[candles_analyzed] => 24
[start_at] => 2025-08-03T14:20:57-04:00
[end_at] => 2025-08-03T16:20:57-04:00
)
[long_term] => Array
(
[max_gain] => -0.00029999999999999
[max_drawdown] => 0.008
[rr_ratio] => -0.04
[high] => 0.19280000
[low] => 0.18510000
[mfe_pct] => -0.16
[mae_pct] => 4.33
[mfe_mae_ratio] => -0.04
[candles_analyzed] => 84
[start_at] => 2025-08-03T14:20:57-04:00
[end_at] => 2025-08-03T21:20:57-04:00
)
[breakout] => Array
(
[high_before] => 0.18590000
[high_after] => 0.19220000
[low_before] => 0.18210000
[low_after] => 0.18510000
[is_new_high] =>
[is_new_low] =>
)
)