Short Trade on KERNEL 09 Aug 2025 at 01:04:45
Take profit at 0.2089 (0.81 %) and Stop Loss at 0.2117 (0.52 %)
Short Trade on KERNEL 09 Aug 2025 at 01:04:45
Take profit at 0.2089 (0.81 %) and Stop Loss at 0.2117 (0.52 %)
Position size of 1500.1292 $
Take profit at 0.2089 (0.81 %) and Stop Loss at 0.2117 (0.52 %)
That's a 1.55 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.71 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.48 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.58 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.333744 |
Indicators:
116542
-0.000785338
116450
0.333744
116565
-0.000989436
116450
115739
0.00614608
116450
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 09 Aug 2025 01:04:45 |
09 Aug 2025 01:05:00 |
15 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2106 | 0.2117 | 0.2089 | 1.55 | 0.0761 |
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 = 0.2117 - 0.2106 = 0.0011
Récompense (distance jusqu'au take profit):
E - TP = 0.2106 - 0.2089 = 0.0017
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0017 / 0.0011 = 1.5455
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1500.1292 | 100 | 7123.1204 | 15.00 |
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 / 0.0011 = 7272.73
Taille de position USD = 7272.73 x 0.2106 = 1531.64
Donc, tu peux acheter 7272.73 avec un stoploss a 0.2117
Avec un position size USD de 1531.64$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 7272.73 x 0.0011 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 7272.73 x 0.0017 = 12.36
Si Take Profit atteint, tu gagneras 12.36$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.81 % | 12.11 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.52 % | 7.84 $ |
| PNL | PNL % |
|---|---|
| -7.84 $ | -0.52 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2821 % | 245.47 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2089
[entry_price] => 0.2106
[stop_loss] => 0.21181
[rr_ratio] => 1.4
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-09 01:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2089
[entry_price] => 0.2106
[stop_loss] => 0.21192
[rr_ratio] => 1.29
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-09 01:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2089
[entry_price] => 0.2106
[stop_loss] => 0.21203
[rr_ratio] => 1.19
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-09 01:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2089
[entry_price] => 0.2106
[stop_loss] => 0.21225
[rr_ratio] => 1.03
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-09 01:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => -0.00039999999999998
[max_drawdown] => 0.0121
[rr_ratio] => -0.03
[high] => 0.22270000
[low] => 0.21100000
[mfe_pct] => -0.19
[mae_pct] => 5.75
[mfe_mae_ratio] => -0.03
[candles_analyzed] => 24
[start_at] => 2025-08-09T01:04:45-04:00
[end_at] => 2025-08-09T03:04:45-04:00
)
[long_term] => Array
(
[max_gain] => -0.00039999999999998
[max_drawdown] => 0.0134
[rr_ratio] => -0.03
[high] => 0.22400000
[low] => 0.21100000
[mfe_pct] => -0.19
[mae_pct] => 6.36
[mfe_mae_ratio] => -0.03
[candles_analyzed] => 84
[start_at] => 2025-08-09T01:04:45-04:00
[end_at] => 2025-08-09T08:04:45-04:00
)
[breakout] => Array
(
[high_before] => 0.21110000
[high_after] => 0.22400000
[low_before] => 0.20670000
[low_after] => 0.21100000
[is_new_high] =>
[is_new_low] =>
)
)