Long Trade on ZKP
The 26 Dec 2025 at 09:16:51
With 1811.3585 ZKP at 0.1473$ per unit.
Position size of 266.7769 $
Take profit at 0.1561 (5.97 %) and Stop Loss at 0.1429 (2.99 %)
That's a 2 RR TradePosition size of 266.7769 $
Take profit at 0.1561 (5.97 %) and Stop Loss at 0.1429 (2.99 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.61 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.69 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.62 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bull_medium rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : range_high 5m_regime : bear_high |
| BTC Correlation | Score |
|---|---|
|
5m : -0.11188 15m : -0.110776 1H : -0.048127 |
1 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 26 Dec 2025 09:16:51 |
26 Dec 2025 10:00:00 |
43 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1473 | 0.1429 | 0.1561 | 2 | 0.1401 |
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 = 0.1429 - 0.1473 = -0.0044
Récompense (distance jusqu'au take profit):
E - TP = 0.1473 - 0.1561 = -0.0088
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0088 / -0.0044 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 266.7769 | 100 | 1811.3585 | 2.67 |
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 / -0.0044 = -1818.18
Taille de position USD = -1818.18 x 0.1473 = -267.82
Donc, tu peux acheter -1818.18 avec un stoploss a 0.1429
Avec un position size USD de -267.82$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1818.18 x -0.0044 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1818.18 x -0.0088 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 5.97 % | 15.94 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.99 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -2.99 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -3.3944 % | 113.64 % | 5 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1561
[entry_price] => 0.1473
[stop_loss] => 0.14246
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-26 10:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1561
[entry_price] => 0.1473
[stop_loss] => 0.14202
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-26 10:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1561
[entry_price] => 0.1473
[stop_loss] => 0.14158
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-26 10:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1561
[entry_price] => 0.1473
[stop_loss] => 0.1407
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-26 10:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00332
[max_drawdown] => 0.01196
[rr_ratio] => 0.28
[high] => 0.15062000
[low] => 0.13534000
[mfe_pct] => 2.25
[mae_pct] => 8.12
[mfe_mae_ratio] => 0.28
[candles_analyzed] => 24
[start_at] => 2025-12-26T09:16:51-05:00
[end_at] => 2025-12-26T11:16:51-05:00
)
[long_term] => Array
(
[max_gain] => 0.01111
[max_drawdown] => 0.01196
[rr_ratio] => 0.93
[high] => 0.15841000
[low] => 0.13534000
[mfe_pct] => 7.54
[mae_pct] => 8.12
[mfe_mae_ratio] => 0.93
[candles_analyzed] => 84
[start_at] => 2025-12-26T09:16:51-05:00
[end_at] => 2025-12-26T16:16:51-05:00
)
[breakout] => Array
(
[high_before] => 0.16497000
[high_after] => 0.15841000
[low_before] => 0.14677000
[low_after] => 0.13534000
[is_new_high] =>
[is_new_low] =>
)
)