Long Trade on ZEREBRO 14 Jul 2025 at 04:19:27
Take profit at 0.03383 (1.5 %) and Stop Loss at 0.033 (0.99 %)
Long Trade on ZEREBRO 14 Jul 2025 at 04:19:27
Take profit at 0.03383 (1.5 %) and Stop Loss at 0.033 (0.99 %)
Position size of 801.5894 $
Take profit at 0.03383 (1.5 %) and Stop Loss at 0.033 (0.99 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.66 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.59 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.282459 |
Indicators:
121139
0.0107675
122444
0.282459
119735
0.0226242
122444
117169
0.0450128
122444
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 14 Jul 2025 04:19:27 |
14 Jul 2025 04:20:00 |
33 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.03333 | 0.033 | 0.03383 | 1.52 | 0.00824 |
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 = 0.033 - 0.03333 = -0.00033
Récompense (distance jusqu'au take profit):
E - TP = 0.03333 - 0.03383 = -0.0005
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0005 / -0.00033 = 1.5152
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 801.5894 | 100 | 24050.0862 | 8.02 |
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 / -0.00033 = -24242.42
Taille de position USD = -24242.42 x 0.03333 = -808
Donc, tu peux acheter -24242.42 avec un stoploss a 0.033
Avec un position size USD de -808$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -24242.42 x -0.00033 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -24242.42 x -0.0005 = 12.12
Si Take Profit atteint, tu gagneras 12.12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.5 % | 12.03 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.99 % | 7.94 $ |
| PNL | PNL % |
|---|---|
| -7.94 $ | -0.99 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.3801 % | 139.39 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.03383
[entry_price] => 0.03333
[stop_loss] => 0.032967
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-14 04:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.03383
[entry_price] => 0.03333
[stop_loss] => 0.032934
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-14 04:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.03383
[entry_price] => 0.03333
[stop_loss] => 0.032901
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-14 04:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.03383
[entry_price] => 0.03333
[stop_loss] => 0.032835
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-14 05:35:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00163
[max_drawdown] => 0.00046
[rr_ratio] => 3.54
[high] => 0.03496000
[low] => 0.03287000
[mfe_pct] => 4.89
[mae_pct] => 1.38
[mfe_mae_ratio] => 3.54
[candles_analyzed] => 24
[start_at] => 2025-07-14T04:19:27-04:00
[end_at] => 2025-07-14T06:19:27-04:00
)
[long_term] => Array
(
[max_gain] => 0.00163
[max_drawdown] => 0.00061
[rr_ratio] => 2.67
[high] => 0.03496000
[low] => 0.03272000
[mfe_pct] => 4.89
[mae_pct] => 1.83
[mfe_mae_ratio] => 2.67
[candles_analyzed] => 72
[start_at] => 2025-07-14T04:19:27-04:00
[end_at] => 2025-07-14T10:19:27-04:00
)
[breakout] => Array
(
[high_before] => 0.03516000
[high_after] => 0.03496000
[low_before] => 0.03315000
[low_after] => 0.03272000
[is_new_high] =>
[is_new_low] =>
)
)