Long Trade on KNC 20 Jul 2025 at 13:02:19
Take profit at 0.4794 (1.37 %) and Stop Loss at 0.4686 (0.91 %)
Long Trade on KNC 20 Jul 2025 at 13:02:19
Take profit at 0.4794 (1.37 %) and Stop Loss at 0.4686 (0.91 %)
Position size of 874.4131 $
Take profit at 0.4794 (1.37 %) and Stop Loss at 0.4686 (0.91 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.47 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.076884 |
Indicators:
118327
0.00132197
118483
0.076884
118102
0.00322497
118483
118393
0.000761837
118483
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 20 Jul 2025 13:02:19 |
20 Jul 2025 15:20:00 |
2 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.4729 | 0.4686 | 0.4794 | 1.51 | 0.1382 |
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 = 0.4686 - 0.4729 = -0.0043
Récompense (distance jusqu'au take profit):
E - TP = 0.4729 - 0.4794 = -0.0065
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0065 / -0.0043 = 1.5116
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 874.4131 | 100 | 1849.0444 | 8.74 |
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 / -0.0043 = -1860.47
Taille de position USD = -1860.47 x 0.4729 = -879.82
Donc, tu peux acheter -1860.47 avec un stoploss a 0.4686
Avec un position size USD de -879.82$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1860.47 x -0.0043 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1860.47 x -0.0065 = 12.09
Si Take Profit atteint, tu gagneras 12.09$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.37 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.91 % | 7.95 $ |
| PNL | PNL % |
|---|---|
| -7.95 $ | -0.91 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9304 % | 102.32 % | 7 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.4794
[entry_price] => 0.4729
[stop_loss] => 0.46817
[rr_ratio] => 1.37
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-20 16:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.4794
[entry_price] => 0.4729
[stop_loss] => 0.46774
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-20 16:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.4794
[entry_price] => 0.4729
[stop_loss] => 0.46731
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-20 16:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.4794
[entry_price] => 0.4729
[stop_loss] => 0.46645
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-20 16:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0056
[max_drawdown] => 0.0013
[rr_ratio] => 4.31
[high] => 0.47850000
[low] => 0.47160000
[mfe_pct] => 1.18
[mae_pct] => 0.27
[mfe_mae_ratio] => 4.31
[candles_analyzed] => 24
[start_at] => 2025-07-20T13:02:19-04:00
[end_at] => 2025-07-20T15:02:19-04:00
)
[long_term] => Array
(
[max_gain] => 0.0056
[max_drawdown] => 0.0174
[rr_ratio] => 0.32
[high] => 0.47850000
[low] => 0.45550000
[mfe_pct] => 1.18
[mae_pct] => 3.68
[mfe_mae_ratio] => 0.32
[candles_analyzed] => 72
[start_at] => 2025-07-20T13:02:19-04:00
[end_at] => 2025-07-20T19:02:19-04:00
)
[breakout] => Array
(
[high_before] => 0.49860000
[high_after] => 0.47850000
[low_before] => 0.47250000
[low_after] => 0.45550000
[is_new_high] =>
[is_new_low] =>
)
)